[ { "dim_process": 20, "seq_idx": 0, "seq_len": 31, "time_since_start": [ 0.0, 2.6744675925925927, 3.716087962962963, 4.379675925925926, 4.693518518518519, 5.347569444444445, 6.340625, 6.610416666666667, 7.645833333333333, 8.361273148148149, 8.434722222222222, 9.741805555555555, 11.961805555555555, 12.638657407407408, 13.172245370370371, 14.139930555555555, 15.001388888888888, 15.406944444444445, 15.695046296296296, 16.738125, 17.32824074074074, 17.409583333333334, 18.308333333333334, 18.592662037037037, 19.06412037037037, 19.13888888888889, 19.558564814814815, 20.104050925925925, 20.131944444444443, 21.10189814814815, 21.890439814814815 ], "time_since_last_event": [ 0.0, 2.6744675925925927, 1.0416203703703704, 0.663587962962963, 0.3138425925925926, 0.654050925925926, 0.9930555555555556, 0.26979166666666665, 1.0354166666666667, 0.7154398148148148, 0.07344907407407407, 1.3070833333333334, 2.22, 0.6768518518518518, 0.533587962962963, 0.9676851851851852, 0.8614583333333333, 0.40555555555555556, 0.28810185185185183, 1.0430787037037037, 0.5901157407407407, 0.08134259259259259, 0.89875, 0.2843287037037037, 0.4714583333333333, 0.07476851851851851, 0.41967592592592595, 0.5454861111111111, 0.02789351851851852, 0.9699537037037037, 0.7885416666666667 ], "type_event": [ 11, 9, 6, 10, 3, 6, 7, 9, 18, 9, 7, 16, 6, 0, 16, 6, 9, 7, 9, 4, 11, 11, 0, 5, 9, 11, 5, 1, 11, 1, 0 ], "type_text": [ "Robbery", "Assault", "Criminal Damage", "Burglary", "Deceptive Practice", "Criminal Damage", "Battery", "Assault", "Public Peace Violation", "Assault", "Battery", "Narcotics", "Criminal Damage", "Theft", "Narcotics", "Criminal Damage", "Assault", "Battery", "Assault", "Motor Vehicle Theft", "Robbery", "Robbery", "Theft", "Criminal Trespass", "Assault", "Robbery", "Criminal Trespass", "Weapons Violation", "Robbery", "Weapons Violation", "Theft" ], "description": "The sequence of crime incidents begins with a robbery, followed by an assault and a series of criminal damage events. Over time, there is a noticeable clustering of assault incidents, particularly between the 6th and 19th months. Robberies appear multiple times, particularly towards the later months, alongside a mix of thefts and weapons violations. Criminal damage incidents also recur, with a significant presence throughout the timeline, indicating a pattern of varied crime types occurring at different intervals." }, { "dim_process": 20, "seq_idx": 1, "seq_len": 54, "time_since_start": [ 0.0, 0.15569444444444444, 0.3059722222222222, 0.3059953703703704, 0.3533101851851852, 0.8764120370370371, 0.9020833333333333, 1.0746527777777777, 2.172222222222222, 4.676388888888889, 5.250694444444444, 6.140509259259259, 6.3069444444444445, 6.9222222222222225, 8.244189814814815, 8.291319444444444, 8.509722222222223, 8.613888888888889, 8.771527777777777, 9.280694444444444, 10.332407407407407, 10.504166666666666, 12.03125, 12.176388888888889, 12.304444444444444, 13.061111111111112, 13.431944444444444, 13.446412037037037, 13.447546296296297, 13.44775462962963, 13.722222222222221, 13.931944444444444, 14.875, 15.330902777777778, 15.3625, 16.139583333333334, 16.274305555555557, 16.922453703703702, 17.29513888888889, 18.041319444444444, 18.229166666666668, 18.863449074074072, 19.136111111111113, 19.143055555555556, 19.352777777777778, 19.697222222222223, 19.741666666666667, 19.74861111111111, 19.91701388888889, 20.10972222222222, 20.644791666666666, 20.874074074074073, 21.167407407407406, 23.858333333333334 ], "time_since_last_event": [ 0.0, 0.15569444444444444, 0.1502777777777778, 2.3148148148148147e-05, 0.047314814814814816, 0.5231018518518519, 0.025671296296296296, 0.17256944444444444, 1.0975694444444444, 2.504166666666667, 0.5743055555555555, 0.8898148148148148, 0.16643518518518519, 0.6152777777777778, 1.3219675925925927, 0.04712962962962963, 0.21840277777777778, 0.10416666666666667, 0.15763888888888888, 0.5091666666666667, 1.051712962962963, 0.17175925925925925, 1.5270833333333333, 0.1451388888888889, 0.12805555555555556, 0.7566666666666667, 0.37083333333333335, 0.014467592592592593, 0.0011342592592592593, 0.00020833333333333335, 0.27446759259259257, 0.20972222222222223, 0.9430555555555555, 0.45590277777777777, 0.03159722222222222, 0.7770833333333333, 0.13472222222222222, 0.6481481481481481, 0.3726851851851852, 0.7461805555555555, 0.18784722222222222, 0.6342824074074074, 0.27266203703703706, 0.006944444444444444, 0.20972222222222223, 0.34444444444444444, 0.044444444444444446, 0.006944444444444444, 0.1684027777777778, 0.19270833333333334, 0.5350694444444445, 0.2292824074074074, 0.29333333333333333, 2.6909259259259257 ], "type_event": [ 0, 3, 6, 1, 10, 8, 8, 4, 4, 8, 11, 0, 8, 10, 8, 7, 7, 0, 0, 10, 15, 4, 0, 0, 8, 4, 0, 7, 10, 10, 3, 8, 4, 1, 0, 4, 4, 6, 6, 0, 6, 9, 4, 0, 0, 6, 4, 0, 7, 5, 10, 4, 5, 3 ], "type_text": [ "Theft", "Deceptive Practice", "Criminal Damage", "Weapons Violation", "Burglary", "Other Offense", "Other Offense", "Motor Vehicle Theft", "Motor Vehicle Theft", "Other Offense", "Robbery", "Theft", "Other Offense", "Burglary", "Other Offense", "Battery", "Battery", "Theft", "Theft", "Burglary", "Interference With Public Officer", "Motor Vehicle Theft", "Theft", "Theft", "Other Offense", "Motor Vehicle Theft", "Theft", "Battery", "Burglary", "Burglary", "Deceptive Practice", "Other Offense", "Motor Vehicle Theft", "Weapons Violation", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Criminal Damage", "Criminal Damage", "Theft", "Criminal Damage", "Assault", "Motor Vehicle Theft", "Theft", "Theft", "Criminal Damage", "Motor Vehicle Theft", "Theft", "Battery", "Criminal Trespass", "Burglary", "Motor Vehicle Theft", "Criminal Trespass", "Deceptive Practice" ], "description": "The sequence of crime incidents shows a diverse range of offenses occurring over time, with notable clustering of certain crime types. Initially, theft and deceptive practices are reported early on, followed by a mix of criminal damage and weapons violations. As time progresses, there is an increase in motor vehicle theft incidents, particularly concentrated in the later months. Other offenses, including burglary and battery, also appear frequently in the mid to later stages of the timeline, indicating a trend of escalating crime types as time advances." }, { "dim_process": 20, "seq_idx": 2, "seq_len": 43, "time_since_start": [ 0.0, 0.059305555555555556, 0.1946064814814815, 1.1472222222222221, 1.225, 2.0408333333333335, 2.21400462962963, 2.2930555555555556, 4.02511574074074, 4.264930555555556, 4.885416666666667, 5.406481481481482, 5.588888888888889, 5.902083333333334, 7.011111111111111, 7.571018518518518, 8.163078703703704, 8.83275462962963, 9.51875, 9.748611111111112, 11.165277777777778, 11.380555555555556, 11.401388888888889, 12.69537037037037, 12.72960648148148, 14.061111111111112, 14.2, 15.613912037037037, 16.16400462962963, 16.480578703703703, 17.42650462962963, 17.58703703703704, 17.83888888888889, 17.86659722222222, 18.358333333333334, 18.50138888888889, 18.622916666666665, 18.779953703703704, 18.963425925925925, 19.171180555555555, 19.306712962962962, 20.07613425925926, 21.307407407407407 ], "time_since_last_event": [ 0.0, 0.059305555555555556, 0.13530092592592594, 0.9526157407407407, 0.07777777777777778, 0.8158333333333333, 0.1731712962962963, 0.07905092592592593, 1.7320601851851851, 0.23981481481481481, 0.6204861111111111, 0.5210648148148148, 0.1824074074074074, 0.31319444444444444, 1.1090277777777777, 0.5599074074074074, 0.5920601851851852, 0.669675925925926, 0.6859953703703704, 0.2298611111111111, 1.4166666666666667, 0.2152777777777778, 0.020833333333333332, 1.2939814814814814, 0.03423611111111111, 1.3315046296296296, 0.1388888888888889, 1.413912037037037, 0.5500925925925926, 0.31657407407407406, 0.945925925925926, 0.1605324074074074, 0.2518518518518518, 0.027708333333333335, 0.4917361111111111, 0.14305555555555555, 0.12152777777777778, 0.15703703703703703, 0.18347222222222223, 0.20775462962962962, 0.1355324074074074, 0.7694212962962963, 1.2312731481481483 ], "type_event": [ 7, 8, 5, 5, 0, 1, 7, 7, 0, 6, 6, 0, 3, 4, 7, 16, 4, 6, 3, 3, 4, 3, 6, 0, 16, 3, 3, 3, 6, 3, 7, 4, 0, 16, 3, 3, 18, 7, 5, 16, 16, 1, 9 ], "type_text": [ "Battery", "Other Offense", "Criminal Trespass", "Criminal Trespass", "Theft", "Weapons Violation", "Battery", "Battery", "Theft", "Criminal Damage", "Criminal Damage", "Theft", "Deceptive Practice", "Motor Vehicle Theft", "Battery", "Narcotics", "Motor Vehicle Theft", "Criminal Damage", "Deceptive Practice", "Deceptive Practice", "Motor Vehicle Theft", "Deceptive Practice", "Criminal Damage", "Theft", "Narcotics", "Deceptive Practice", "Deceptive Practice", "Deceptive Practice", "Criminal Damage", "Deceptive Practice", "Battery", "Motor Vehicle Theft", "Theft", "Narcotics", "Deceptive Practice", "Deceptive Practice", "Public Peace Violation", "Battery", "Criminal Trespass", "Narcotics", "Narcotics", "Weapons Violation", "Assault" ], "description": "The sequence of crime incidents begins with a variety of offenses, including battery and criminal trespass, occurring within the first two months. As time progresses, there is a noticeable clustering of thefts and deceptive practices, particularly around the 5 to 15-month mark. Battery incidents reappear intermittently, while motor vehicle thefts and narcotics offenses also emerge later in the timeline. The sequence culminates with a mix of offenses, including a final assault incident, indicating a diverse range of crime types throughout the observed period." }, { "dim_process": 20, "seq_idx": 3, "seq_len": 56, "time_since_start": [ 0.0, 0.05365740740740741, 1.1618055555555555, 1.3204166666666666, 1.9951388888888888, 2.066666666666667, 2.129166666666667, 2.345833333333333, 2.3715046296296296, 2.373611111111111, 3.386064814814815, 3.952777777777778, 4.065416666666667, 5.4215277777777775, 5.7, 5.939236111111111, 5.9497685185185185, 6.0377777777777775, 6.082638888888889, 6.620023148148148, 8.534722222222221, 9.159722222222221, 9.630694444444444, 10.75763888888889, 11.39236111111111, 11.684027777777779, 12.386111111111111, 12.38888888888889, 12.39525462962963, 12.945833333333333, 13.575555555555555, 13.960416666666667, 14.445555555555556, 14.866666666666667, 14.924305555555556, 14.952777777777778, 15.547222222222222, 16.166689814814816, 16.20740740740741, 17.59351851851852, 17.719722222222224, 17.771296296296295, 18.245185185185186, 18.843055555555555, 18.940787037037037, 18.984467592592594, 19.31513888888889, 19.754513888888887, 19.956944444444446, 20.129166666666666, 20.295833333333334, 20.422916666666666, 20.550694444444446, 21.216898148148147, 22.7875, 23.412847222222222 ], "time_since_last_event": [ 0.0, 0.05365740740740741, 1.108148148148148, 0.15861111111111112, 0.6747222222222222, 0.07152777777777777, 0.0625, 0.21666666666666667, 0.025671296296296296, 0.0021064814814814813, 1.0124537037037038, 0.5667129629629629, 0.11263888888888889, 1.356111111111111, 0.27847222222222223, 0.23923611111111112, 0.010532407407407407, 0.08800925925925926, 0.04486111111111111, 0.5373842592592593, 1.9146990740740741, 0.625, 0.47097222222222224, 1.1269444444444445, 0.6347222222222222, 0.2916666666666667, 0.7020833333333333, 0.002777777777777778, 0.00636574074074074, 0.5505787037037037, 0.6297222222222222, 0.3848611111111111, 0.4851388888888889, 0.4211111111111111, 0.05763888888888889, 0.02847222222222222, 0.5944444444444444, 0.6194675925925925, 0.04071759259259259, 1.386111111111111, 0.1262037037037037, 0.05157407407407407, 0.4738888888888889, 0.5978703703703704, 0.09773148148148147, 0.043680555555555556, 0.33067129629629627, 0.439375, 0.20243055555555556, 0.17222222222222222, 0.16666666666666666, 0.12708333333333333, 0.12777777777777777, 0.6662037037037037, 1.5706018518518519, 0.6253472222222223 ], "type_event": [ 0, 11, 0, 11, 4, 10, 2, 7, 7, 7, 7, 0, 18, 0, 8, 4, 3, 5, 7, 8, 7, 4, 7, 10, 9, 0, 6, 4, 0, 9, 6, 4, 7, 0, 4, 0, 4, 4, 4, 3, 7, 0, 11, 0, 4, 3, 0, 7, 6, 6, 9, 8, 0, 3, 0, 9 ], "type_text": [ "Theft", "Robbery", "Theft", "Robbery", "Motor Vehicle Theft", "Burglary", "Sex Offense", "Battery", "Battery", "Battery", "Battery", "Theft", "Public Peace Violation", "Theft", "Other Offense", "Motor Vehicle Theft", "Deceptive Practice", "Criminal Trespass", "Battery", "Other Offense", "Battery", "Motor Vehicle Theft", "Battery", "Burglary", "Assault", "Theft", "Criminal Damage", "Motor Vehicle Theft", "Theft", "Assault", "Criminal Damage", "Motor Vehicle Theft", "Battery", "Theft", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Deceptive Practice", "Battery", "Theft", "Robbery", "Theft", "Motor Vehicle Theft", "Deceptive Practice", "Theft", "Battery", "Criminal Damage", "Criminal Damage", "Assault", "Other Offense", "Theft", "Deceptive Practice", "Theft", "Assault" ], "description": "The sequence of crime incidents shows a variety of crime types occurring over time, with notable clustering of certain events. Initially, theft and robbery incidents are prominent in the early months, followed by a rise in motor vehicle thefts and batteries in the subsequent months. As time progresses, there is a noticeable increase in the frequency of thefts and batteries, particularly in the later months, while other offenses such as burglary and assault appear less frequently. Deceptive practices also emerge sporadically throughout the timeline, indicating a mix of crime types with a trend towards increased theft and battery incidents as time advances." }, { "dim_process": 20, "seq_idx": 4, "seq_len": 74, "time_since_start": [ 0.0, 0.07712962962962963, 0.4618055555555556, 0.6922916666666666, 0.7356481481481482, 0.9833333333333333, 1.1902777777777778, 1.5902777777777777, 1.5902777777777777, 1.5972222222222223, 1.6554861111111112, 1.8920138888888889, 2.029166666666667, 2.1944444444444446, 2.5608796296296297, 2.638888888888889, 2.75, 3.1625, 4.129166666666666, 4.96087962962963, 5.228125, 5.263657407407408, 5.3694444444444445, 5.554861111111111, 5.966319444444444, 6.231944444444444, 6.331597222222222, 6.415717592592593, 6.65625, 7.250694444444444, 7.388888888888889, 7.822222222222222, 8.003472222222221, 8.032291666666667, 8.126388888888888, 8.274675925925926, 8.551388888888889, 9.029166666666667, 9.195833333333333, 9.805578703703704, 9.967083333333333, 10.02361111111111, 10.657291666666667, 10.944212962962963, 12.29513888888889, 12.347222222222221, 12.419074074074073, 13.332638888888889, 13.8, 15.287824074074074, 15.304791666666667, 15.591666666666667, 15.946527777777778, 16.155555555555555, 17.585763888888888, 17.978472222222223, 18.788888888888888, 19.76064814814815, 19.865277777777777, 19.870069444444443, 20.03152777777778, 20.65590277777778, 20.78611111111111, 21.466435185185187, 21.756597222222222, 21.917939814814815, 22.228171296296296, 22.745462962962964, 23.064467592592592, 23.127430555555556, 23.331944444444446, 23.608657407407406, 23.865972222222222, 23.97048611111111 ], "time_since_last_event": [ 0.0, 0.07712962962962963, 0.3846759259259259, 0.2304861111111111, 0.04335648148148148, 0.24768518518518517, 0.20694444444444443, 0.4, 0.0, 0.006944444444444444, 0.058263888888888886, 0.23652777777777778, 0.1371527777777778, 0.16527777777777777, 0.3664351851851852, 0.07800925925925926, 0.1111111111111111, 0.4125, 0.9666666666666667, 0.8317129629629629, 0.2672453703703704, 0.03553240740740741, 0.10578703703703704, 0.18541666666666667, 0.4114583333333333, 0.265625, 0.09965277777777778, 0.08412037037037037, 0.24053240740740742, 0.5944444444444444, 0.13819444444444445, 0.43333333333333335, 0.18125, 0.028819444444444446, 0.09409722222222222, 0.14828703703703705, 0.27671296296296294, 0.4777777777777778, 0.16666666666666666, 0.6097453703703704, 0.16150462962962964, 0.05652777777777778, 0.6336805555555556, 0.2869212962962963, 1.3509259259259259, 0.052083333333333336, 0.07185185185185185, 0.9135648148148148, 0.4673611111111111, 1.487824074074074, 0.016967592592592593, 0.286875, 0.3548611111111111, 0.20902777777777778, 1.4302083333333333, 0.3927083333333333, 0.8104166666666667, 0.9717592592592592, 0.10462962962962963, 0.004791666666666666, 0.16145833333333334, 0.624375, 0.13020833333333334, 0.680324074074074, 0.290162037037037, 0.1613425925925926, 0.3102314814814815, 0.5172916666666667, 0.3190046296296296, 0.06296296296296296, 0.20451388888888888, 0.27671296296296294, 0.25731481481481483, 0.10451388888888889 ], "type_event": [ 0, 7, 0, 0, 7, 0, 0, 0, 3, 0, 7, 0, 0, 0, 0, 3, 0, 0, 11, 0, 0, 0, 7, 1, 9, 0, 0, 11, 0, 7, 0, 0, 7, 3, 3, 7, 3, 0, 3, 8, 8, 9, 7, 7, 0, 7, 8, 6, 0, 0, 11, 3, 7, 3, 4, 6, 0, 7, 7, 8, 11, 0, 8, 7, 0, 7, 2, 0, 9, 0, 0, 0, 3, 6 ], "type_text": [ "Theft", "Battery", "Theft", "Theft", "Battery", "Theft", "Theft", "Theft", "Deceptive Practice", "Theft", "Battery", "Theft", "Theft", "Theft", "Theft", "Deceptive Practice", "Theft", "Theft", "Robbery", "Theft", "Theft", "Theft", "Battery", "Weapons Violation", "Assault", "Theft", "Theft", "Robbery", "Theft", "Battery", "Theft", "Theft", "Battery", "Deceptive Practice", "Deceptive Practice", "Battery", "Deceptive Practice", "Theft", "Deceptive Practice", "Other Offense", "Other Offense", "Assault", "Battery", "Battery", "Theft", "Battery", "Other Offense", "Criminal Damage", "Theft", "Theft", "Robbery", "Deceptive Practice", "Battery", "Deceptive Practice", "Motor Vehicle Theft", "Criminal Damage", "Theft", "Battery", "Battery", "Other Offense", "Robbery", "Theft", "Other Offense", "Battery", "Theft", "Battery", "Sex Offense", "Theft", "Assault", "Theft", "Theft", "Theft", "Deceptive Practice", "Criminal Damage" ], "description": "The sequence of crime incidents shows a predominance of thefts occurring throughout the timeline, with significant clustering in the earlier months and continuing into later months. Battery incidents appear intermittently, with a noticeable increase in frequency around the middle of the timeline. Deceptive practices are also present, with several occurrences clustered in the latter part of the sequence. Robberies and other offenses appear sporadically, primarily in the middle to later stages of the timeline, indicating a variation in crime types over time. Overall, theft remains the most frequent crime type, while other offenses and violent crimes like battery and robbery show more sporadic patterns." }, { "dim_process": 20, "seq_idx": 5, "seq_len": 60, "time_since_start": [ 0.0, 0.6776157407407407, 1.6659722222222222, 1.7289583333333334, 1.7580092592592593, 2.181064814814815, 2.3, 3.029861111111111, 3.4125, 3.694166666666667, 4.498611111111111, 4.49912037037037, 5.151296296296296, 5.156712962962963, 5.712662037037037, 5.892106481481481, 5.930555555555555, 6.230092592592593, 6.887847222222222, 7.589583333333334, 8.01675925925926, 9.213796296296296, 10.393101851851851, 10.686805555555555, 10.693634259259259, 10.859282407407408, 11.747337962962963, 11.884375, 12.082175925925926, 12.393310185185186, 12.614236111111111, 13.158564814814815, 13.328703703703704, 13.361435185185185, 14.088541666666666, 14.153657407407408, 14.190740740740742, 14.290972222222223, 14.486296296296297, 14.664259259259259, 14.739398148148148, 14.740856481481481, 14.963171296296297, 15.047939814814814, 15.15324074074074, 16.025300925925926, 17.17064814814815, 17.560416666666665, 18.41263888888889, 18.746990740740742, 18.757893518518518, 19.444097222222222, 19.751967592592592, 19.87847222222222, 20.195717592592594, 20.635578703703704, 21.065277777777776, 21.23090277777778, 21.57986111111111, 22.25138888888889 ], "time_since_last_event": [ 0.0, 0.6776157407407407, 0.9883564814814815, 0.06298611111111112, 0.029050925925925924, 0.4230555555555556, 0.11893518518518519, 0.7298611111111111, 0.38263888888888886, 0.2816666666666667, 0.8044444444444444, 0.0005092592592592592, 0.6521759259259259, 0.005416666666666667, 0.5559490740740741, 0.17944444444444443, 0.03844907407407407, 0.29953703703703705, 0.6577546296296296, 0.7017361111111111, 0.4271759259259259, 1.1970370370370371, 1.1793055555555556, 0.2937037037037037, 0.006828703703703704, 0.16564814814814816, 0.8880555555555556, 0.13703703703703704, 0.19780092592592594, 0.31113425925925925, 0.22092592592592591, 0.5443287037037037, 0.1701388888888889, 0.03273148148148148, 0.7271064814814815, 0.06511574074074074, 0.037083333333333336, 0.10023148148148148, 0.19532407407407407, 0.17796296296296296, 0.0751388888888889, 0.0014583333333333334, 0.22231481481481483, 0.08476851851851852, 0.10530092592592592, 0.8720601851851851, 1.1453472222222223, 0.3897685185185185, 0.8522222222222222, 0.33435185185185184, 0.010902777777777779, 0.6862037037037036, 0.30787037037037035, 0.12650462962962963, 0.31724537037037037, 0.4398611111111111, 0.4296990740740741, 0.165625, 0.3489583333333333, 0.6715277777777777 ], "type_event": [ 7, 16, 4, 16, 16, 16, 9, 8, 6, 16, 7, 16, 16, 9, 16, 16, 6, 0, 6, 6, 7, 16, 16, 11, 16, 8, 16, 8, 16, 16, 16, 16, 16, 16, 16, 16, 16, 4, 16, 16, 6, 7, 16, 16, 16, 16, 1, 16, 16, 16, 16, 6, 16, 10, 16, 7, 0, 16, 16, 16 ], "type_text": [ "Battery", "Narcotics", "Motor Vehicle Theft", "Narcotics", "Narcotics", "Narcotics", "Assault", "Other Offense", "Criminal Damage", "Narcotics", "Battery", "Narcotics", "Narcotics", "Assault", "Narcotics", "Narcotics", "Criminal Damage", "Theft", "Criminal Damage", "Criminal Damage", "Battery", "Narcotics", "Narcotics", "Robbery", "Narcotics", "Other Offense", "Narcotics", "Other Offense", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Motor Vehicle Theft", "Narcotics", "Narcotics", "Criminal Damage", "Battery", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Weapons Violation", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Criminal Damage", "Narcotics", "Burglary", "Narcotics", "Battery", "Theft", "Narcotics", "Narcotics", "Narcotics" ], "description": "The sequence of crime incidents in the block shows a notable prevalence of narcotics-related offenses, which occur frequently throughout the timeline, particularly in the early to mid-periods. Battery incidents appear sporadically, with clusters observed around the beginning and later stages. Criminal damage incidents also show a tendency to cluster, particularly in the middle of the timeline. Other offense types, including robbery and burglary, appear less frequently and are interspersed among the more common narcotics offenses. Overall, the data indicates a pattern of increasing complexity in crime types as time progresses, with narcotics consistently being the most reported offense." }, { "dim_process": 20, "seq_idx": 6, "seq_len": 33, "time_since_start": [ 0.0, 5.134305555555556, 5.190277777777778, 5.913842592592593, 6.60625, 7.194120370370371, 8.16388888888889, 8.36949074074074, 9.305902777777778, 10.001388888888888, 10.105208333333334, 10.513541666666667, 10.602777777777778, 11.146875, 12.39599537037037, 14.143935185185185, 15.583333333333334, 18.104166666666668, 18.42997685185185, 18.565601851851852, 18.60462962962963, 18.625, 19.53326388888889, 19.805902777777778, 20.851388888888888, 20.853472222222223, 22.07777777777778, 22.606203703703702, 22.739675925925926, 23.255324074074075, 23.379166666666666, 23.492361111111112, 24.29212962962963 ], "time_since_last_event": [ 0.0, 5.134305555555556, 0.05597222222222222, 0.7235648148148148, 0.6924074074074074, 0.5878703703703704, 0.9697685185185185, 0.20560185185185184, 0.936412037037037, 0.6954861111111111, 0.10381944444444445, 0.4083333333333333, 0.08923611111111111, 0.5440972222222222, 1.2491203703703704, 1.7479398148148149, 1.4393981481481481, 2.5208333333333335, 0.3258101851851852, 0.135625, 0.03902777777777778, 0.020370370370370372, 0.9082638888888889, 0.2726388888888889, 1.0454861111111111, 0.0020833333333333333, 1.2243055555555555, 0.528425925925926, 0.13347222222222221, 0.5156481481481482, 0.12384259259259259, 0.11319444444444444, 0.7997685185185185 ], "type_event": [ 3, 7, 4, 6, 0, 1, 6, 7, 2, 4, 4, 8, 8, 9, 6, 1, 7, 8, 8, 8, 8, 6, 11, 7, 7, 10, 3, 7, 1, 7, 0, 7, 7 ], "type_text": [ "Deceptive Practice", "Battery", "Motor Vehicle Theft", "Criminal Damage", "Theft", "Weapons Violation", "Criminal Damage", "Battery", "Sex Offense", "Motor Vehicle Theft", "Motor Vehicle Theft", "Other Offense", "Other Offense", "Assault", "Criminal Damage", "Weapons Violation", "Battery", "Other Offense", "Other Offense", "Other Offense", "Other Offense", "Criminal Damage", "Robbery", "Battery", "Battery", "Burglary", "Deceptive Practice", "Battery", "Weapons Violation", "Battery", "Theft", "Battery", "Battery" ], "description": "The sequence of crime incidents begins with a deceptive practice, followed by a series of battery incidents and motor vehicle thefts occurring within the first year. Criminal damage and weapons violations appear intermittently, with a notable increase in other offenses and battery incidents in the later months. The timeline shows clustering of battery events, particularly in the latter part of the sequence, alongside a consistent presence of criminal damage and other offenses as time progresses. Overall, the frequency of incidents tends to rise as time advances, with a mix of crime types appearing throughout the observed period." }, { "dim_process": 20, "seq_idx": 7, "seq_len": 93, "time_since_start": [ 0.0, 0.06895833333333333, 0.25428240740740743, 0.6613194444444445, 0.822962962962963, 0.9583333333333334, 1.1669444444444443, 1.4641435185185185, 3.2557638888888887, 3.466527777777778, 3.593611111111111, 4.600208333333334, 4.659236111111111, 5.3519907407407405, 5.3585416666666665, 5.515023148148148, 5.654375, 5.760694444444445, 6.415486111111111, 6.594652777777778, 7.102986111111111, 7.255532407407407, 8.025902777777778, 8.150208333333333, 8.154375, 8.70298611111111, 8.732847222222222, 8.794421296296296, 8.887986111111111, 9.351712962962964, 9.457152777777777, 9.62486111111111, 10.023819444444445, 10.491180555555555, 10.491180555555555, 11.6575, 11.659537037037037, 12.678912037037037, 13.450208333333334, 13.956111111111111, 13.99048611111111, 14.090486111111112, 14.454375, 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0.40761574074074075, 0.026574074074074073, 0.169375, 0.0002314814814814815, 0.029861111111111113, 0.0006944444444444445, 0.03958333333333333, 0.010046296296296296, 0.15939814814814815, 0.1595601851851852, 0.007337962962962963, 0.14837962962962964, 0.08333333333333333, 0.12081018518518519, 0.27625, 0.13488425925925926, 0.021527777777777778, 0.01875, 0.6354166666666666, 0.024421296296296295, 0.028356481481481483, 0.36041666666666666, 0.07967592592592593, 0.42650462962962965, 0.08479166666666667, 0.45555555555555555, 0.3729166666666667, 0.2152777777777778, 0.05, 0.014305555555555556, 0.42944444444444446, 0.04861111111111111, 0.05793981481481481, 0.4455324074074074, 0.705787037037037, 0.26990740740740743, 0.05243055555555556, 0.16111111111111112, 0.006597222222222222, 0.03819444444444445, 0.06319444444444444 ], "type_event": [ 9, 10, 0, 16, 0, 9, 7, 0, 0, 7, 9, 6, 4, 7, 0, 6, 0, 11, 4, 0, 6, 0, 4, 0, 0, 0, 0, 6, 1, 9, 0, 4, 0, 3, 0, 6, 7, 0, 0, 0, 0, 9, 3, 0, 7, 1, 3, 11, 11, 0, 0, 1, 0, 4, 0, 6, 6, 6, 6, 6, 0, 16, 6, 0, 9, 3, 3, 0, 0, 7, 7, 3, 4, 4, 1, 0, 3, 11, 6, 0, 11, 8, 4, 0, 0, 3, 7, 0, 5, 0, 0, 10, 9 ], "type_text": [ "Assault", "Burglary", "Theft", "Narcotics", "Theft", "Assault", "Battery", "Theft", "Theft", "Battery", "Assault", "Criminal Damage", "Motor Vehicle Theft", "Battery", "Theft", "Criminal Damage", "Theft", "Robbery", "Motor Vehicle Theft", "Theft", "Criminal Damage", "Theft", "Motor Vehicle Theft", "Theft", "Theft", "Theft", "Theft", "Criminal Damage", "Weapons Violation", "Assault", "Theft", "Motor Vehicle Theft", "Theft", "Deceptive Practice", "Theft", "Criminal Damage", "Battery", "Theft", "Theft", "Theft", "Theft", "Assault", "Deceptive Practice", "Theft", "Battery", "Weapons Violation", "Deceptive Practice", "Robbery", "Robbery", "Theft", "Theft", "Weapons Violation", "Theft", "Motor Vehicle Theft", "Theft", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Theft", "Narcotics", "Criminal Damage", "Theft", "Assault", "Deceptive Practice", "Deceptive Practice", "Theft", "Theft", "Battery", "Battery", "Deceptive Practice", "Motor Vehicle Theft", "Motor Vehicle Theft", "Weapons Violation", "Theft", "Deceptive Practice", "Robbery", "Criminal Damage", "Theft", "Robbery", "Other Offense", "Motor Vehicle Theft", "Theft", "Theft", "Deceptive Practice", "Battery", "Theft", "Criminal Trespass", "Theft", "Theft", "Burglary", "Assault" ], "description": "The sequence of crime incidents shows a diverse range of offenses occurring over time, with certain types of crimes appearing more frequently at specific intervals. Early on, assaults and burglaries are reported, followed by a noticeable increase in theft incidents that cluster around several months. As time progresses, there is a rise in motor vehicle thefts and criminal damage, particularly in the later months, while deceptive practices and various types of assaults also become prominent. The data indicates that thefts are consistently reported throughout the timeline, with notable clusters of criminal damage and motor vehicle theft occurring in the latter half of the sequence." }, { "dim_process": 20, "seq_idx": 8, "seq_len": 71, "time_since_start": [ 0.0, 0.609375, 1.0913194444444445, 2.1010416666666667, 2.5103935185185184, 3.381435185185185, 3.3869212962962965, 3.508402777777778, 4.198263888888889, 4.702430555555556, 4.914236111111111, 5.456689814814815, 5.683402777777777, 5.789236111111111, 6.015625, 6.413773148148148, 6.678819444444445, 7.321828703703703, 7.496064814814815, 7.524652777777778, 7.804398148148148, 8.337152777777778, 8.745486111111111, 9.124652777777778, 9.458333333333334, 9.478819444444444, 9.506597222222222, 10.014930555555555, 10.182986111111111, 10.214930555555556, 10.260763888888889, 10.26087962962963, 10.428125, 10.604398148148148, 11.05263888888889, 11.201273148148148, 11.275347222222223, 11.992152777777777, 12.133726851851852, 12.918402777777779, 13.40798611111111, 14.111805555555556, 14.911458333333334, 15.50335648148148, 15.590277777777779, 15.717708333333333, 16.35798611111111, 16.56215277777778, 16.6, 16.61550925925926, 16.74789351851852, 16.924722222222222, 17.024745370370372, 17.657291666666666, 17.682291666666668, 17.745486111111113, 18.436689814814816, 18.677152777777778, 19.78587962962963, 21.287152777777777, 21.378819444444446, 21.43784722222222, 21.6775, 21.973958333333332, 22.12465277777778, 22.809375, 22.91861111111111, 23.481828703703705, 23.738541666666666, 23.87351851851852, 24.037152777777777 ], "time_since_last_event": [ 0.0, 0.609375, 0.48194444444444445, 1.0097222222222222, 0.40935185185185186, 0.8710416666666667, 0.005486111111111111, 0.12148148148148148, 0.6898611111111111, 0.5041666666666667, 0.21180555555555555, 0.5424537037037037, 0.22671296296296295, 0.10583333333333333, 0.2263888888888889, 0.39814814814814814, 0.2650462962962963, 0.6430092592592592, 0.17423611111111112, 0.028587962962962964, 0.2797453703703704, 0.5327546296296296, 0.4083333333333333, 0.37916666666666665, 0.33368055555555554, 0.02048611111111111, 0.027777777777777776, 0.5083333333333333, 0.16805555555555557, 0.03194444444444444, 0.04583333333333333, 0.00011574074074074075, 0.16724537037037038, 0.17627314814814815, 0.4482407407407407, 0.14863425925925927, 0.07407407407407407, 0.7168055555555556, 0.14157407407407407, 0.7846759259259259, 0.4895833333333333, 0.7038194444444444, 0.7996527777777778, 0.5918981481481481, 0.0869212962962963, 0.12743055555555555, 0.6402777777777777, 0.20416666666666666, 0.03784722222222222, 0.015509259259259259, 0.13238425925925926, 0.1768287037037037, 0.10002314814814815, 0.6325462962962963, 0.025, 0.06319444444444444, 0.6912037037037037, 0.24046296296296296, 1.1087268518518518, 1.501273148148148, 0.09166666666666666, 0.059027777777777776, 0.23965277777777777, 0.2964583333333333, 0.15069444444444444, 0.6847222222222222, 0.10923611111111112, 0.5632175925925926, 0.256712962962963, 0.13497685185185185, 0.16363425925925926 ], "type_event": [ 4, 0, 3, 7, 7, 5, 4, 7, 0, 4, 6, 1, 4, 7, 7, 0, 0, 11, 6, 3, 7, 0, 3, 6, 0, 3, 3, 0, 0, 6, 0, 9, 14, 0, 11, 0, 3, 7, 7, 3, 3, 0, 0, 6, 7, 3, 8, 0, 0, 3, 0, 3, 10, 8, 7, 6, 4, 2, 16, 3, 3, 4, 8, 6, 0, 0, 1, 7, 0, 5, 7 ], "type_text": [ "Motor Vehicle Theft", "Theft", "Deceptive Practice", "Battery", "Battery", "Criminal Trespass", "Motor Vehicle Theft", "Battery", "Theft", "Motor Vehicle Theft", "Criminal Damage", "Weapons Violation", "Motor Vehicle Theft", "Battery", "Battery", "Theft", "Theft", "Robbery", "Criminal Damage", "Deceptive Practice", "Battery", "Theft", "Deceptive Practice", "Criminal Damage", "Theft", "Deceptive Practice", "Deceptive Practice", "Theft", "Theft", "Criminal Damage", "Theft", "Assault", "Criminal Sexual Assault", "Theft", "Robbery", "Theft", "Deceptive Practice", "Battery", "Battery", "Deceptive Practice", "Deceptive Practice", "Theft", "Theft", "Criminal Damage", "Battery", "Deceptive Practice", "Other Offense", "Theft", "Theft", "Deceptive Practice", "Theft", "Deceptive Practice", "Burglary", "Other Offense", "Battery", "Criminal Damage", "Motor Vehicle Theft", "Sex Offense", "Narcotics", "Deceptive Practice", "Deceptive Practice", "Motor Vehicle Theft", "Other Offense", "Criminal Damage", "Theft", "Theft", "Weapons Violation", "Battery", "Theft", "Criminal Trespass", "Battery" ], "description": "The sequence of crime incidents reveals a pattern where certain types of crimes, such as Theft and Battery, occur frequently and cluster in the earlier months, particularly within the first two years. Motor Vehicle Theft appears multiple times throughout the sequence but is notably concentrated in the initial months and again towards the end. Deceptive Practices are also prevalent, with several incidents occurring in close succession. As time progresses, there is a noticeable increase in the variety of offenses, including the emergence of more serious crimes such as Robbery and Criminal Sexual Assault, particularly in the later months of the sequence." }, { "dim_process": 20, "seq_idx": 9, "seq_len": 80, "time_since_start": [ 0.0, 0.32881944444444444, 0.9157407407407407, 1.3819444444444444, 1.5277777777777777, 2.4819444444444443, 2.6173611111111112, 3.3201388888888888, 5.329189814814815, 6.061805555555556, 6.257175925925926, 7.5368055555555555, 8.160069444444444, 8.405555555555555, 8.450810185185185, 8.571875, 10.036111111111111, 10.081944444444444, 10.414143518518518, 11.136111111111111, 11.487800925925926, 11.91710648148148, 12.252777777777778, 12.290277777777778, 12.749027777777778, 12.753240740740742, 12.988425925925926, 13.190972222222221, 13.915856481481482, 14.09488425925926, 14.653356481481481, 14.86824074074074, 15.556759259259259, 15.629027777777777, 15.702013888888889, 16.08287037037037, 16.50002314814815, 16.605300925925928, 16.78611111111111, 16.965925925925927, 17.021898148148146, 17.863842592592594, 17.99215277777778, 18.12446759259259, 18.490300925925926, 18.568472222222223, 18.658564814814813, 18.822337962962962, 18.961111111111112, 18.964513888888888, 19.405787037037037, 19.620601851851852, 19.635416666666668, 19.66148148148148, 19.687199074074073, 19.836111111111112, 20.02800925925926, 20.215740740740742, 20.445671296296297, 20.516574074074075, 20.860462962962963, 21.194652777777776, 21.352430555555557, 21.386157407407406, 21.39560185185185, 21.459375, 21.617037037037036, 21.694537037037037, 21.798912037037038, 21.819606481481483, 21.937361111111112, 22.416527777777777, 22.45564814814815, 22.455694444444443, 22.99076388888889, 23.06284722222222, 23.12414351851852, 23.451851851851853, 23.535416666666666, 23.589236111111113 ], "time_since_last_event": [ 0.0, 0.32881944444444444, 0.5869212962962963, 0.46620370370370373, 0.14583333333333334, 0.9541666666666667, 0.13541666666666666, 0.7027777777777777, 2.009050925925926, 0.7326157407407408, 0.19537037037037036, 1.2796296296296297, 0.6232638888888888, 0.2454861111111111, 0.04525462962962963, 0.12106481481481482, 1.464236111111111, 0.04583333333333333, 0.33219907407407406, 0.7219675925925926, 0.3516898148148148, 0.42930555555555555, 0.3356712962962963, 0.0375, 0.45875, 0.004212962962962963, 0.2351851851851852, 0.2025462962962963, 0.7248842592592593, 0.17902777777777779, 0.5584722222222223, 0.21488425925925925, 0.6885185185185185, 0.07226851851851852, 0.07298611111111111, 0.3808564814814815, 0.41715277777777776, 0.10527777777777778, 0.18081018518518518, 0.17981481481481482, 0.05597222222222222, 0.8419444444444445, 0.1283101851851852, 0.1323148148148148, 0.36583333333333334, 0.0781712962962963, 0.0900925925925926, 0.16377314814814814, 0.13877314814814815, 0.0034027777777777776, 0.44127314814814816, 0.21481481481481482, 0.014814814814814815, 0.026064814814814815, 0.025717592592592594, 0.14891203703703704, 0.19189814814814815, 0.18773148148148147, 0.22993055555555555, 0.07090277777777777, 0.3438888888888889, 0.3341898148148148, 0.15777777777777777, 0.033726851851851855, 0.009444444444444445, 0.06377314814814815, 0.15766203703703704, 0.0775, 0.104375, 0.020694444444444446, 0.11775462962962963, 0.4791666666666667, 0.03912037037037037, 4.6296296296296294e-05, 0.5350694444444445, 0.07208333333333333, 0.06129629629629629, 0.3277083333333333, 0.08356481481481481, 0.05381944444444445 ], "type_event": [ 0, 3, 11, 3, 6, 9, 7, 7, 7, 7, 11, 11, 2, 2, 7, 7, 3, 0, 7, 3, 7, 7, 14, 0, 11, 8, 2, 7, 7, 0, 5, 9, 16, 6, 10, 9, 11, 11, 4, 15, 0, 16, 7, 16, 16, 7, 11, 9, 7, 16, 9, 3, 0, 11, 3, 14, 5, 15, 11, 15, 18, 16, 3, 5, 9, 7, 16, 16, 3, 7, 12, 3, 15, 16, 16, 3, 3, 16, 7, 16 ], "type_text": [ "Theft", "Deceptive Practice", "Robbery", "Deceptive Practice", "Criminal Damage", "Assault", "Battery", "Battery", "Battery", "Battery", "Robbery", "Robbery", "Sex Offense", "Sex Offense", "Battery", "Battery", "Deceptive Practice", "Theft", "Battery", "Deceptive Practice", "Battery", "Battery", "Criminal Sexual Assault", "Theft", "Robbery", "Other Offense", "Sex Offense", "Battery", "Battery", "Theft", "Criminal Trespass", "Assault", "Narcotics", "Criminal Damage", "Burglary", "Assault", "Robbery", "Robbery", "Motor Vehicle Theft", "Interference With Public Officer", "Theft", "Narcotics", "Battery", "Narcotics", "Narcotics", "Battery", "Robbery", "Assault", "Battery", "Narcotics", "Assault", "Deceptive Practice", "Theft", "Robbery", "Deceptive Practice", "Criminal Sexual Assault", "Criminal Trespass", "Interference With Public Officer", "Robbery", "Interference With Public Officer", "Public Peace Violation", "Narcotics", "Deceptive Practice", "Criminal Trespass", "Assault", "Battery", "Narcotics", "Narcotics", "Deceptive Practice", "Battery", "Arson", "Deceptive Practice", "Interference With Public Officer", "Narcotics", "Narcotics", "Deceptive Practice", "Deceptive Practice", "Narcotics", "Battery", "Narcotics" ], "description": "The sequence of crime incidents in Chicago shows a progression of various crime types over time, with certain events clustering at specific intervals. Initially, theft and deceptive practices are reported, followed by a rise in violent crimes such as battery and robbery, particularly noticeable around the 2 to 3-month mark. As time progresses, there is an increase in narcotics-related incidents, especially between the 15 to 23-month range, along with a consistent presence of deceptive practices and assaults throughout the timeline. The data indicates that certain crime types, like robbery and battery, appear more frequently in later months, while theft and deceptive practices are more common in the earlier stages." }, { "dim_process": 20, "seq_idx": 10, "seq_len": 42, "time_since_start": [ 0.0, 0.12361111111111112, 2.3134259259259258, 3.0027777777777778, 3.0707175925925925, 3.672175925925926, 4.422916666666667, 4.508958333333333, 4.622569444444444, 5.408449074074074, 5.616342592592592, 6.173078703703704, 6.603472222222222, 6.9475, 7.355277777777777, 7.468055555555556, 7.935879629629629, 8.522222222222222, 8.722222222222221, 9.102777777777778, 9.958171296296296, 10.149861111111111, 12.15625, 12.158333333333333, 12.447083333333333, 12.715277777777779, 13.17361111111111, 13.357870370370371, 13.505555555555556, 15.621597222222222, 17.11412037037037, 18.041666666666668, 18.177777777777777, 18.39097222222222, 19.48064814814815, 19.60821759259259, 20.07777777777778, 20.119444444444444, 20.188287037037036, 22.677476851851853, 23.22222222222222, 23.24652777777778 ], "time_since_last_event": [ 0.0, 0.12361111111111112, 2.189814814814815, 0.6893518518518519, 0.06793981481481481, 0.6014583333333333, 0.7507407407407407, 0.08604166666666667, 0.11361111111111111, 0.7858796296296297, 0.2078935185185185, 0.5567361111111111, 0.43039351851851854, 0.34402777777777777, 0.4077777777777778, 0.11277777777777778, 0.46782407407407406, 0.5863425925925926, 0.2, 0.38055555555555554, 0.8553935185185185, 0.1916898148148148, 2.006388888888889, 0.0020833333333333333, 0.28875, 0.26819444444444446, 0.4583333333333333, 0.18425925925925926, 0.1476851851851852, 2.116041666666667, 1.4925231481481482, 0.9275462962962963, 0.1361111111111111, 0.21319444444444444, 1.0896759259259259, 0.12756944444444446, 0.46956018518518516, 0.041666666666666664, 0.0688425925925926, 2.489189814814815, 0.5447453703703704, 0.024305555555555556 ], "type_event": [ 0, 0, 1, 6, 7, 13, 10, 9, 6, 1, 7, 7, 0, 7, 7, 13, 6, 0, 7, 0, 6, 7, 6, 9, 13, 4, 10, 0, 7, 11, 12, 8, 7, 4, 15, 10, 4, 0, 7, 11, 6, 7 ], "type_text": [ "Theft", "Theft", "Weapons Violation", "Criminal Damage", "Battery", "Offense Involving Children", "Burglary", "Assault", "Criminal Damage", "Weapons Violation", "Battery", "Battery", "Theft", "Battery", "Battery", "Offense Involving Children", "Criminal Damage", "Theft", "Battery", "Theft", "Criminal Damage", "Battery", "Criminal Damage", "Assault", "Offense Involving Children", "Motor Vehicle Theft", "Burglary", "Theft", "Battery", "Robbery", "Arson", "Other Offense", "Battery", "Motor Vehicle Theft", "Interference With Public Officer", "Burglary", "Motor Vehicle Theft", "Theft", "Battery", "Robbery", "Criminal Damage", "Battery" ], "description": "The sequence of crime incidents begins with thefts occurring early on, followed by a mix of weapon violations and property crimes. As time progresses, there is a notable increase in battery incidents, particularly around the 6 to 10-month mark, suggesting a clustering of violent offenses. Criminal damage appears consistently throughout the timeline, with a slight uptick in the later months. Additionally, offenses involving children and motor vehicle thefts emerge intermittently, while robbery and arson incidents are recorded towards the latter part of the sequence. Overall, the sequence shows a trend of increasing complexity and variety in crime types as time advances." }, { "dim_process": 20, "seq_idx": 11, "seq_len": 35, "time_since_start": [ 0.0, 1.387962962962963, 2.161574074074074, 3.1450694444444443, 4.134027777777778, 5.100416666666667, 6.1782407407407405, 6.747546296296297, 7.390462962962963, 8.106597222222222, 8.372407407407408, 8.53298611111111, 9.2875, 9.30400462962963, 10.165277777777778, 10.430555555555555, 10.514351851851853, 11.25636574074074, 11.599421296296295, 11.705092592592592, 13.649398148148148, 14.593055555555555, 16.3375, 17.677592592592593, 17.860439814814814, 18.31539351851852, 18.334027777777777, 18.375, 18.764583333333334, 19.31388888888889, 20.049189814814813, 22.354166666666668, 22.73111111111111, 22.90798611111111, 23.222939814814815 ], "time_since_last_event": [ 0.0, 1.387962962962963, 0.7736111111111111, 0.9834953703703704, 0.9889583333333334, 0.9663888888888889, 1.077824074074074, 0.5693055555555555, 0.6429166666666667, 0.7161342592592592, 0.2658101851851852, 0.1605787037037037, 0.7545138888888889, 0.01650462962962963, 0.8612731481481481, 0.2652777777777778, 0.0837962962962963, 0.7420138888888889, 0.34305555555555556, 0.10567129629629629, 1.9443055555555555, 0.9436574074074074, 1.7444444444444445, 1.3400925925925926, 0.18284722222222222, 0.4549537037037037, 0.01863425925925926, 0.04097222222222222, 0.38958333333333334, 0.5493055555555556, 0.7353009259259259, 2.3049768518518516, 0.37694444444444447, 0.176875, 0.3149537037037037 ], "type_event": [ 7, 7, 0, 1, 8, 6, 9, 4, 7, 9, 8, 4, 8, 8, 0, 4, 6, 7, 7, 0, 9, 8, 4, 1, 8, 9, 5, 4, 0, 0, 6, 4, 13, 6, 4 ], "type_text": [ "Battery", "Battery", "Theft", "Weapons Violation", "Other Offense", "Criminal Damage", "Assault", "Motor Vehicle Theft", "Battery", "Assault", "Other Offense", "Motor Vehicle Theft", "Other Offense", "Other Offense", "Theft", "Motor Vehicle Theft", "Criminal Damage", "Battery", "Battery", "Theft", "Assault", "Other Offense", "Motor Vehicle Theft", "Weapons Violation", "Other Offense", "Assault", "Criminal Trespass", "Motor Vehicle Theft", "Theft", "Theft", "Criminal Damage", "Motor Vehicle Theft", "Offense Involving Children", "Criminal Damage", "Motor Vehicle Theft" ], "description": "The sequence of crime incidents begins with batteries occurring early on, followed by a variety of offenses including thefts, assaults, and motor vehicle thefts. As time progresses, there is a noticeable clustering of other offenses and motor vehicle thefts, particularly in the later months. The frequency of crimes appears to increase in the latter part of the timeline, with multiple incidents occurring within close succession. Overall, the data indicates a trend of escalating criminal activity, particularly in the categories of motor vehicle theft and other offenses as time advances." }, { "dim_process": 20, "seq_idx": 12, "seq_len": 31, "time_since_start": [ 0.0, 0.3058101851851852, 0.9624074074074074, 1.5178935185185185, 2.9297916666666666, 2.968773148148148, 3.3153935185185186, 3.316574074074074, 4.455393518518519, 5.934166666666667, 6.817962962962963, 7.140185185185185, 7.207546296296297, 7.377685185185185, 7.948981481481481, 8.011018518518519, 8.393009259259259, 11.964791666666667, 14.365185185185185, 15.294699074074074, 15.915208333333334, 16.242037037037036, 16.66229166666667, 16.673726851851853, 16.68284722222222, 16.766805555555557, 17.11101851851852, 19.79712962962963, 20.467083333333335, 23.705694444444443, 23.869351851851853 ], "time_since_last_event": [ 0.0, 0.3058101851851852, 0.6565972222222223, 0.5554861111111111, 1.411898148148148, 0.03898148148148148, 0.34662037037037036, 0.0011805555555555556, 1.1388194444444444, 1.478773148148148, 0.8837962962962963, 0.32222222222222224, 0.06736111111111111, 0.1701388888888889, 0.5712962962962963, 0.062037037037037036, 0.38199074074074074, 3.5717824074074076, 2.4003935185185186, 0.9295138888888889, 0.6205092592592593, 0.3268287037037037, 0.4202546296296296, 0.011435185185185185, 0.00912037037037037, 0.08395833333333333, 0.34421296296296294, 2.686111111111111, 0.6699537037037037, 3.238611111111111, 0.16365740740740742 ], "type_event": [ 16, 7, 16, 1, 16, 9, 7, 7, 9, 16, 14, 8, 8, 6, 6, 4, 9, 16, 3, 8, 0, 7, 16, 9, 4, 16, 4, 7, 0, 11, 8 ], "type_text": [ "Narcotics", "Battery", "Narcotics", "Weapons Violation", "Narcotics", "Assault", "Battery", "Battery", "Assault", "Narcotics", "Criminal Sexual Assault", "Other Offense", "Other Offense", "Criminal Damage", "Criminal Damage", "Motor Vehicle Theft", "Assault", "Narcotics", "Deceptive Practice", "Other Offense", "Theft", "Battery", "Narcotics", "Assault", "Motor Vehicle Theft", "Narcotics", "Motor Vehicle Theft", "Battery", "Theft", "Robbery", "Other Offense" ], "description": "The sequence of crime incidents begins with narcotics offenses occurring early in the timeline, followed by various types of assaults and batteries clustering within the first few months. As time progresses, there is a noticeable increase in the diversity of crime types, with incidents such as weapons violations and criminal sexual assaults appearing in the mid-range of the timeline. Towards the later months, there is a resurgence of narcotics offenses, alongside a rise in theft and motor vehicle theft incidents, indicating a shift in the nature of reported crimes. Overall, narcotics-related crimes appear consistently throughout, while other offenses show more variability in timing and clustering." }, { "dim_process": 20, "seq_idx": 13, "seq_len": 35, "time_since_start": [ 0.0, 0.024652777777777777, 1.0186111111111111, 2.0274537037037037, 4.149490740740741, 4.833958333333333, 6.263819444444445, 8.22423611111111, 8.251319444444444, 8.386967592592592, 8.515787037037038, 8.986736111111112, 9.056180555555555, 9.44923611111111, 10.039143518518518, 13.071458333333334, 13.9725, 13.989513888888888, 14.040902777777777, 14.228217592592593, 17.51509259259259, 17.620763888888888, 18.162430555555556, 18.21384259259259, 18.69525462962963, 18.875625, 19.489074074074075, 19.674930555555555, 19.891597222222224, 20.139050925925925, 20.53351851851852, 21.671458333333334, 22.42662037037037, 23.040902777777777, 23.165902777777777 ], "time_since_last_event": [ 0.0, 0.024652777777777777, 0.9939583333333334, 1.0088425925925926, 2.122037037037037, 0.6844675925925926, 1.429861111111111, 1.9604166666666667, 0.027083333333333334, 0.13564814814814816, 0.12881944444444443, 0.47094907407407405, 0.06944444444444445, 0.39305555555555555, 0.5899074074074074, 3.0323148148148147, 0.9010416666666666, 0.017013888888888887, 0.05138888888888889, 0.18731481481481482, 3.286875, 0.10567129629629629, 0.5416666666666666, 0.051412037037037034, 0.48141203703703705, 0.18037037037037038, 0.6134490740740741, 0.18585648148148148, 0.21666666666666667, 0.2474537037037037, 0.3944675925925926, 1.1379398148148148, 0.755162037037037, 0.6142824074074074, 0.125 ], "type_event": [ 7, 7, 7, 16, 9, 11, 1, 6, 6, 4, 9, 13, 4, 9, 9, 9, 6, 4, 0, 7, 9, 9, 7, 7, 9, 7, 7, 0, 8, 7, 11, 4, 7, 7, 6 ], "type_text": [ "Battery", "Battery", "Battery", "Narcotics", "Assault", "Robbery", "Weapons Violation", "Criminal Damage", "Criminal Damage", "Motor Vehicle Theft", "Assault", "Offense Involving Children", "Motor Vehicle Theft", "Assault", "Assault", "Assault", "Criminal Damage", "Motor Vehicle Theft", "Theft", "Battery", "Assault", "Assault", "Battery", "Battery", "Assault", "Battery", "Battery", "Theft", "Other Offense", "Battery", "Robbery", "Motor Vehicle Theft", "Battery", "Battery", "Criminal Damage" ], "description": "The sequence of crime incidents begins with multiple occurrences of Battery within the first two months, followed by a variety of crime types, including Narcotics and Assault, emerging in the subsequent months. A notable cluster of incidents appears around the 8 to 14-month mark, featuring multiple instances of Criminal Damage, Assault, and Motor Vehicle Theft. As the timeline progresses, Battery incidents continue to appear frequently, with a slight increase in the variety of offenses towards the later months, including Theft and Robbery. Overall, there is a pattern of increasing crime diversity over time, with certain types, particularly Battery and Assault, occurring more frequently in the earlier and middle periods." }, { "dim_process": 20, "seq_idx": 14, "seq_len": 30, "time_since_start": [ 0.0, 0.7444444444444445, 0.8138888888888889, 1.4659722222222222, 1.4664351851851851, 1.7902777777777779, 2.104861111111111, 2.1555555555555554, 2.3421296296296297, 2.375462962962963, 2.466550925925926, 3.888541666666667, 4.605555555555555, 5.090740740740741, 6.856944444444444, 7.772708333333333, 9.380555555555556, 12.559722222222222, 12.653819444444444, 12.875, 13.97638888888889, 14.509722222222223, 14.652777777777779, 15.232870370370371, 16.131319444444443, 16.159953703703703, 17.01650462962963, 20.594467592592594, 21.13287037037037, 22.236805555555556 ], "time_since_last_event": [ 0.0, 0.7444444444444445, 0.06944444444444445, 0.6520833333333333, 0.000462962962962963, 0.32384259259259257, 0.3145833333333333, 0.050694444444444445, 0.1865740740740741, 0.03333333333333333, 0.09108796296296297, 1.4219907407407408, 0.7170138888888888, 0.48518518518518516, 1.7662037037037037, 0.9157638888888889, 1.6078472222222222, 3.1791666666666667, 0.09409722222222222, 0.22118055555555555, 1.101388888888889, 0.5333333333333333, 0.14305555555555555, 0.5800925925925926, 0.898449074074074, 0.02863425925925926, 0.856550925925926, 3.577962962962963, 0.5384027777777778, 1.103935185185185 ], "type_event": [ 7, 1, 5, 6, 7, 6, 0, 8, 7, 7, 3, 7, 6, 9, 3, 9, 5, 11, 4, 8, 6, 0, 6, 4, 6, 7, 7, 7, 0, 0 ], "type_text": [ "Battery", "Weapons Violation", "Criminal Trespass", "Criminal Damage", "Battery", "Criminal Damage", "Theft", "Other Offense", "Battery", "Battery", "Deceptive Practice", "Battery", "Criminal Damage", "Assault", "Deceptive Practice", "Assault", "Criminal Trespass", "Robbery", "Motor Vehicle Theft", "Other Offense", "Criminal Damage", "Theft", "Criminal Damage", "Motor Vehicle Theft", "Criminal Damage", "Battery", "Battery", "Battery", "Theft", "Theft" ], "description": "The sequence of crime incidents in the Chicago block shows a pattern where battery incidents occur frequently in the early months, with several clusters of such events. Criminal damage and theft incidents begin to appear after the initial battery occurrences, with some overlap in timing. As time progresses, there is a noticeable increase in the variety of crime types, including assaults and motor vehicle thefts, particularly in the later months. Overall, incidents of battery are prominent early on, while theft and motor vehicle theft become more common as the timeline extends." }, { "dim_process": 20, "seq_idx": 15, "seq_len": 33, "time_since_start": [ 0.0, 0.9800925925925926, 2.1016203703703704, 2.9543981481481483, 3.9016435185185183, 4.5124305555555555, 4.53912037037037, 5.219907407407407, 6.520833333333333, 7.32962962962963, 8.788541666666667, 9.691898148148148, 11.174074074074074, 11.200925925925926, 12.997013888888889, 13.366898148148149, 14.941898148148148, 15.559606481481481, 16.369675925925925, 17.00023148148148, 17.32513888888889, 17.694675925925925, 17.72939814814815, 17.907060185185184, 18.040046296296296, 18.759953703703705, 19.345277777777778, 20.559490740740742, 20.619467592592592, 20.888055555555557, 21.48912037037037, 22.258564814814815, 22.342083333333335 ], "time_since_last_event": [ 0.0, 0.9800925925925926, 1.1215277777777777, 0.8527777777777777, 0.9472453703703704, 0.6107870370370371, 0.026689814814814816, 0.680787037037037, 1.3009259259259258, 0.8087962962962963, 1.458912037037037, 0.9033564814814815, 1.482175925925926, 0.026851851851851852, 1.796087962962963, 0.3698842592592593, 1.575, 0.6177083333333333, 0.8100694444444444, 0.6305555555555555, 0.3249074074074074, 0.36953703703703705, 0.034722222222222224, 0.17766203703703703, 0.1329861111111111, 0.7199074074074074, 0.585324074074074, 1.214212962962963, 0.05997685185185185, 0.26858796296296295, 0.6010648148148148, 0.7694444444444445, 0.08351851851851852 ], "type_event": [ 1, 8, 0, 6, 6, 7, 6, 4, 6, 0, 4, 11, 6, 7, 1, 4, 6, 6, 9, 3, 6, 6, 0, 7, 11, 3, 0, 0, 7, 16, 4, 0, 7 ], "type_text": [ "Weapons Violation", "Other Offense", "Theft", "Criminal Damage", "Criminal Damage", "Battery", "Criminal Damage", "Motor Vehicle Theft", "Criminal Damage", "Theft", "Motor Vehicle Theft", "Robbery", "Criminal Damage", "Battery", "Weapons Violation", "Motor Vehicle Theft", "Criminal Damage", "Criminal Damage", "Assault", "Deceptive Practice", "Criminal Damage", "Criminal Damage", "Theft", "Battery", "Robbery", "Deceptive Practice", "Theft", "Theft", "Battery", "Narcotics", "Motor Vehicle Theft", "Theft", "Battery" ], "description": "The sequence of crime incidents shows a variety of offense types occurring over time, with notable clustering around certain periods. Initially, weapons violations and other offenses appear early in the timeline, followed by a mix of theft and criminal damage incidents that peak around the 2 to 3-month mark. As time progresses, there is a noticeable increase in motor vehicle thefts and battery offenses, particularly between months 5 and 22. Criminal damage incidents are consistently reported throughout the sequence, with several occurrences clustered in the later months, alongside various thefts and other offenses." }, { "dim_process": 20, "seq_idx": 16, "seq_len": 34, "time_since_start": [ 0.0, 1.0203472222222223, 1.2697453703703703, 1.6979861111111112, 2.437037037037037, 2.694189814814815, 3.283125, 5.138171296296297, 6.387708333333333, 6.607847222222222, 7.937037037037037, 8.019305555555556, 8.41363425925926, 9.87037037037037, 9.955509259259259, 10.154143518518518, 10.805763888888889, 11.714791666666667, 13.61675925925926, 14.476458333333333, 14.521620370370371, 15.929675925925926, 16.18076388888889, 16.21710648148148, 16.33703703703704, 17.713402777777777, 17.850902777777776, 18.815300925925925, 20.416180555555556, 21.02173611111111, 21.79196759259259, 21.998819444444443, 22.558587962962964, 22.681805555555556 ], "time_since_last_event": [ 0.0, 1.0203472222222223, 0.24939814814814815, 0.42824074074074076, 0.7390509259259259, 0.2571527777777778, 0.5889351851851852, 1.8550462962962964, 1.2495370370370371, 0.22013888888888888, 1.329189814814815, 0.08226851851851852, 0.3943287037037037, 1.456736111111111, 0.08513888888888889, 0.19863425925925926, 0.6516203703703703, 0.9090277777777778, 1.9019675925925925, 0.8596990740740741, 0.045162037037037035, 1.4080555555555556, 0.251087962962963, 0.03634259259259259, 0.11993055555555555, 1.3763657407407408, 0.1375, 0.9643981481481482, 1.6008796296296297, 0.6055555555555555, 0.7702314814814815, 0.20685185185185184, 0.5597685185185185, 0.12321759259259259 ], "type_event": [ 6, 0, 9, 6, 3, 0, 7, 11, 5, 4, 3, 4, 0, 3, 3, 0, 6, 0, 7, 8, 0, 13, 3, 0, 4, 0, 0, 9, 3, 8, 8, 0, 3, 7 ], "type_text": [ "Criminal Damage", "Theft", "Assault", "Criminal Damage", "Deceptive Practice", "Theft", "Battery", "Robbery", "Criminal Trespass", "Motor Vehicle Theft", "Deceptive Practice", "Motor Vehicle Theft", "Theft", "Deceptive Practice", "Deceptive Practice", "Theft", "Criminal Damage", "Theft", "Battery", "Other Offense", "Theft", "Offense Involving Children", "Deceptive Practice", "Theft", "Motor Vehicle Theft", "Theft", "Theft", "Assault", "Deceptive Practice", "Other Offense", "Other Offense", "Theft", "Deceptive Practice", "Battery" ], "description": "The sequence of crime incidents shows a pattern where theft-related offenses occur frequently throughout the timeline, particularly clustering around the later months. Criminal damage and assault incidents appear earlier in the sequence, while deceptive practices are notably present in multiple instances, especially in the middle to later months. Battery and other offenses also emerge in the latter part of the timeline, indicating a trend of increasing variety in crime types as time progresses. Motor vehicle theft incidents are concentrated in the middle of the sequence, suggesting a specific period of heightened activity for that crime type." }, { "dim_process": 20, "seq_idx": 17, "seq_len": 81, "time_since_start": [ 0.0, 0.053773148148148146, 0.3824074074074074, 0.6596064814814815, 0.8204861111111111, 1.2201388888888889, 1.6803472222222222, 1.6866898148148148, 2.855787037037037, 3.283287037037037, 3.2918287037037035, 3.446574074074074, 3.4862962962962962, 3.767361111111111, 3.986111111111111, 4.396527777777778, 4.684652777777778, 5.020601851851852, 5.985972222222222, 6.078240740740741, 6.123981481481482, 6.192361111111111, 6.358564814814815, 6.373611111111111, 6.4252314814814815, 6.425277777777778, 6.425347222222222, 6.777083333333334, 7.485416666666667, 7.751273148148148, 7.8183796296296295, 7.979166666666667, 8.154328703703703, 8.613564814814815, 8.656018518518518, 8.952083333333333, 9.221851851851852, 9.779861111111112, 9.824467592592592, 9.91236111111111, 10.185069444444444, 10.221018518518518, 10.327222222222222, 10.41388888888889, 10.818055555555556, 11.02025462962963, 11.086273148148148, 11.160300925925926, 11.707685185185186, 11.786597222222222, 12.26388888888889, 13.091666666666667, 14.047453703703704, 14.05298611111111, 14.752638888888889, 14.779861111111112, 15.11574074074074, 15.331944444444444, 15.441319444444444, 16.144675925925927, 16.349421296296295, 17.026736111111113, 18.316666666666666, 18.323611111111113, 18.618055555555557, 18.74678240740741, 18.891435185185184, 19.05, 19.15138888888889, 19.252777777777776, 19.383680555555557, 19.517430555555556, 19.51851851851852, 19.58534722222222, 19.721296296296295, 19.981018518518518, 19.991180555555555, 20.07800925925926, 20.549305555555556, 21.55377314814815, 21.844212962962963 ], "time_since_last_event": [ 0.0, 0.053773148148148146, 0.32863425925925926, 0.27719907407407407, 0.16087962962962962, 0.3996527777777778, 0.46020833333333333, 0.006342592592592592, 1.1690972222222222, 0.4275, 0.008541666666666666, 0.15474537037037037, 0.03972222222222222, 0.2810648148148148, 0.21875, 0.41041666666666665, 0.288125, 0.3359490740740741, 0.9653703703703703, 0.09226851851851851, 0.04574074074074074, 0.06837962962962962, 0.16620370370370371, 0.015046296296296295, 0.05162037037037037, 4.6296296296296294e-05, 6.944444444444444e-05, 0.35173611111111114, 0.7083333333333334, 0.2658564814814815, 0.06710648148148148, 0.16078703703703703, 0.17516203703703703, 0.4592361111111111, 0.0424537037037037, 0.29606481481481484, 0.2697685185185185, 0.5580092592592593, 0.04460648148148148, 0.08789351851851852, 0.27270833333333333, 0.03594907407407407, 0.1062037037037037, 0.08666666666666667, 0.4041666666666667, 0.2021990740740741, 0.06601851851851852, 0.07402777777777778, 0.5473842592592593, 0.07891203703703703, 0.47729166666666667, 0.8277777777777777, 0.955787037037037, 0.005532407407407408, 0.6996527777777778, 0.02722222222222222, 0.33587962962962964, 0.2162037037037037, 0.109375, 0.7033564814814814, 0.20474537037037038, 0.6773148148148148, 1.2899305555555556, 0.006944444444444444, 0.29444444444444445, 0.12872685185185184, 0.14465277777777777, 0.15856481481481483, 0.10138888888888889, 0.10138888888888889, 0.13090277777777778, 0.13375, 0.0010879629629629629, 0.06682870370370371, 0.13594907407407408, 0.25972222222222224, 0.010162037037037037, 0.0868287037037037, 0.47129629629629627, 1.0044675925925926, 0.2904398148148148 ], "type_event": [ 7, 19, 16, 8, 8, 9, 16, 3, 6, 1, 8, 16, 6, 7, 7, 7, 1, 7, 7, 6, 1, 9, 7, 10, 6, 6, 6, 6, 7, 7, 7, 8, 1, 16, 0, 9, 16, 9, 1, 7, 8, 7, 16, 4, 3, 16, 16, 4, 10, 16, 9, 3, 3, 7, 16, 0, 16, 10, 6, 0, 0, 7, 0, 0, 9, 1, 7, 0, 0, 0, 0, 7, 0, 11, 7, 0, 16, 16, 16, 18, 9 ], "type_text": [ "Battery", "Homicide", "Narcotics", "Other Offense", "Other Offense", "Assault", "Narcotics", "Deceptive Practice", "Criminal Damage", "Weapons Violation", "Other Offense", "Narcotics", "Criminal Damage", "Battery", "Battery", "Battery", "Weapons Violation", "Battery", "Battery", "Criminal Damage", "Weapons Violation", "Assault", "Battery", "Burglary", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Battery", "Battery", "Battery", "Other Offense", "Weapons Violation", "Narcotics", "Theft", "Assault", "Narcotics", "Assault", "Weapons Violation", "Battery", "Other Offense", "Battery", "Narcotics", "Motor Vehicle Theft", "Deceptive Practice", "Narcotics", "Narcotics", "Motor Vehicle Theft", "Burglary", "Narcotics", "Assault", "Deceptive Practice", "Deceptive Practice", "Battery", "Narcotics", "Theft", "Narcotics", "Burglary", "Criminal Damage", "Theft", "Theft", "Battery", "Theft", "Theft", "Assault", "Weapons Violation", "Battery", "Theft", "Theft", "Theft", "Theft", "Battery", "Theft", "Robbery", "Battery", "Theft", "Narcotics", "Narcotics", "Narcotics", "Public Peace Violation", "Assault" ], "description": "The sequence of crime incidents shows a diverse range of offenses occurring over time, with notable clustering of certain types. Initially, violent crimes such as battery and homicide are reported, followed by a gradual increase in narcotics-related incidents and other offenses. A significant number of battery incidents occur between the 3rd and 7th months, while theft-related crimes appear to cluster more heavily in the later months, particularly around the 19th month. Weapons violations and assaults also appear consistently throughout the timeline, with some peaks noted in the latter half of the sequence. Overall, the data reflects a fluctuating pattern of crime types, with certain offenses becoming more prevalent as time progresses." }, { "dim_process": 20, "seq_idx": 18, "seq_len": 35, "time_since_start": [ 0.0, 3.2000925925925925, 3.5353703703703703, 5.96962962962963, 6.204351851851852, 8.825856481481482, 9.161296296296296, 11.115694444444445, 12.080625, 12.686296296296296, 12.69949074074074, 12.72451388888889, 15.196712962962962, 17.128657407407406, 17.14185185185185, 18.361296296296295, 18.99884259259259, 19.603657407407407, 19.604421296296298, 19.675185185185185, 20.808541666666667, 20.900023148148147, 21.072407407407407, 21.108541666666667, 21.30787037037037, 21.43872685185185, 21.527268518518518, 22.293240740740742, 22.92796296296296, 22.95574074074074, 23.22275462962963, 23.226087962962964, 23.83074074074074, 23.976643518518518, 24.20539351851852 ], "time_since_last_event": [ 0.0, 3.2000925925925925, 0.3352777777777778, 2.4342592592592593, 0.23472222222222222, 2.6215046296296296, 0.33543981481481483, 1.954398148148148, 0.9649305555555555, 0.6056712962962963, 0.013194444444444444, 0.02502314814814815, 2.4721990740740742, 1.9319444444444445, 0.013194444444444444, 1.2194444444444446, 0.6375462962962963, 0.6048148148148148, 0.0007638888888888889, 0.07076388888888889, 1.1333564814814814, 0.09148148148148148, 0.17238425925925926, 0.03613425925925926, 0.1993287037037037, 0.1308564814814815, 0.08854166666666667, 0.7659722222222223, 0.6347222222222222, 0.027777777777777776, 0.2670138888888889, 0.0033333333333333335, 0.6046527777777778, 0.14590277777777777, 0.22875 ], "type_event": [ 1, 8, 8, 7, 4, 0, 3, 6, 12, 3, 3, 9, 7, 7, 3, 3, 8, 1, 18, 0, 3, 11, 1, 3, 8, 4, 3, 3, 3, 3, 0, 9, 3, 8, 8 ], "type_text": [ "Weapons Violation", "Other Offense", "Other Offense", "Battery", "Motor Vehicle Theft", "Theft", "Deceptive Practice", "Criminal Damage", "Arson", "Deceptive Practice", "Deceptive Practice", "Assault", "Battery", "Battery", "Deceptive Practice", "Deceptive Practice", "Other Offense", "Weapons Violation", "Public Peace Violation", "Theft", "Deceptive Practice", "Robbery", "Weapons Violation", "Deceptive Practice", "Other Offense", "Motor Vehicle Theft", "Deceptive Practice", "Deceptive Practice", "Deceptive Practice", "Deceptive Practice", "Theft", "Assault", "Deceptive Practice", "Other Offense", "Other Offense" ], "description": "The sequence of crime incidents begins with a weapons violation, followed by a series of other offenses occurring within the first few months. As time progresses, there is a noticeable increase in the variety of crime types, with incidents of battery, theft, and deceptive practices emerging in clusters around the 12 to 24-month mark. Notably, deceptive practices appear frequently in the latter half of the timeline, indicating a trend towards these types of offenses as time advances. Overall, the data shows an initial period of less diverse offenses, transitioning into a more complex pattern of crimes as time elapses." }, { "dim_process": 20, "seq_idx": 19, "seq_len": 118, "time_since_start": [ 0.0, 0.139375, 0.4072222222222222, 1.1002777777777777, 1.1641666666666666, 1.1780555555555556, 1.3088425925925926, 1.8007407407407408, 1.8016666666666667, 1.8020601851851852, 1.8353472222222222, 2.450277777777778, 2.495416666666667, 2.933611111111111, 3.2111574074074074, 3.214166666666667, 3.2752777777777777, 3.296111111111111, 3.466759259259259, 3.9058333333333333, 3.907662037037037, 4.203194444444445, 4.207222222222223, 4.406527777777778, 4.539166666666667, 4.66625, 4.845162037037037, 4.8718055555555555, 5.143680555555555, 5.329444444444444, 5.3877546296296295, 5.466018518518519, 5.804328703703704, 5.948888888888889, 6.198888888888889, 6.377731481481481, 6.407222222222222, 6.414166666666667, 6.4173379629629625, 6.429791666666667, 6.440902777777778, 6.4410185185185185, 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0.13472222222222222, 0.03356481481481482, 0.06851851851851852, 0.4652777777777778, 0.763449074074074, 0.04835648148148148, 0.7181712962962963, 0.07256944444444445, 0.25405092592592593, 0.0045138888888888885, 0.14097222222222222, 0.025231481481481483, 0.07337962962962963, 0.14400462962962962, 0.015717592592592592, 0.5090277777777777, 0.12569444444444444, 0.13125, 0.004166666666666667, 0.2048611111111111, 0.5884722222222222, 0.31222222222222223, 0.03743055555555556, 0.0004166666666666667, 0.03090277777777778, 0.006944444444444444, 0.2, 0.28958333333333336, 0.04027777777777778, 0.16180555555555556, 0.027083333333333334, 0.011805555555555555, 0.19583333333333333, 0.00787037037037037, 0.8657407407407407, 0.9835648148148148, 0.6076388888888888, 0.056712962962962965, 0.0020833333333333333, 0.013703703703703704, 0.031435185185185184, 0.030393518518518518, 0.5591898148148148, 0.1736111111111111 ], "type_event": [ 9, 9, 0, 0, 0, 7, 7, 0, 0, 0, 0, 6, 0, 0, 18, 11, 0, 0, 7, 0, 18, 0, 0, 0, 0, 0, 7, 3, 0, 0, 8, 5, 0, 6, 0, 8, 0, 0, 11, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 5, 0, 0, 7, 7, 7, 7, 0, 0, 0, 0, 3, 0, 0, 5, 5, 9, 0, 6, 0, 5, 6, 0, 0, 5, 0, 0, 3, 8, 0, 0, 0, 7, 0, 0, 7, 9, 0, 0, 0, 0, 0, 0, 7, 0, 7, 0, 0, 0, 4, 0, 0, 0, 11, 7, 0, 8, 3, 11, 9, 3, 0, 16, 0, 7, 0, 4 ], "type_text": [ "Assault", "Assault", "Theft", "Theft", "Theft", "Battery", "Battery", "Theft", "Theft", "Theft", "Theft", "Criminal Damage", "Theft", "Theft", "Public Peace Violation", "Robbery", "Theft", "Theft", "Battery", "Theft", "Public Peace Violation", "Theft", "Theft", "Theft", "Theft", "Theft", "Battery", "Deceptive Practice", "Theft", "Theft", "Other Offense", "Criminal Trespass", "Theft", "Criminal Damage", "Theft", "Other Offense", "Theft", "Theft", "Robbery", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Criminal Trespass", "Theft", "Criminal Trespass", "Theft", "Theft", "Battery", "Battery", "Battery", "Battery", "Theft", "Theft", "Theft", "Theft", "Deceptive Practice", "Theft", "Theft", "Criminal Trespass", "Criminal Trespass", "Assault", "Theft", "Criminal Damage", "Theft", "Criminal Trespass", "Criminal Damage", "Theft", "Theft", "Criminal Trespass", "Theft", "Theft", "Deceptive Practice", "Other Offense", "Theft", "Theft", "Theft", "Battery", "Theft", "Theft", "Battery", "Assault", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Battery", "Theft", "Battery", "Theft", "Theft", "Theft", "Motor Vehicle Theft", "Theft", "Theft", "Theft", "Robbery", "Battery", "Theft", "Other Offense", "Deceptive Practice", "Robbery", "Assault", "Deceptive Practice", "Theft", "Narcotics", "Theft", "Battery", "Theft", "Motor Vehicle Theft" ], "description": "The sequence of crime incidents shows a notable clustering of theft-related events, which occur frequently throughout the timeline, particularly in the early to mid-period. Assaults and batteries are more concentrated in the earlier months, while criminal trespass incidents appear later in the sequence. Additionally, there are several instances of public peace violations and robberies that emerge intermittently, with a gradual increase in the variety of crime types as the timeline progresses. Overall, the data indicates a trend of escalating theft incidents, alongside a consistent presence of violent crimes such as battery and assault." }, { "dim_process": 20, "seq_idx": 20, "seq_len": 50, "time_since_start": [ 0.0, 0.5520833333333334, 1.3322916666666667, 2.120833333333333, 2.1634953703703705, 2.62875, 2.654050925925926, 3.531111111111111, 3.53125, 4.075347222222222, 4.720486111111111, 4.8850694444444445, 5.301319444444444, 5.7184027777777775, 6.003981481481482, 7.478587962962963, 8.047731481481481, 8.658449074074074, 8.758032407407407, 8.797245370370371, 9.012847222222222, 10.653125, 11.315625, 11.75173611111111, 12.07025462962963, 12.208726851851852, 12.433680555555556, 13.690625, 15.09548611111111, 15.458680555555556, 15.499652777777778, 16.743472222222223, 16.947569444444444, 17.79340277777778, 18.444791666666667, 19.11539351851852, 19.16050925925926, 19.984930555555554, 20.193402777777777, 20.58615740740741, 20.952083333333334, 21.145833333333332, 21.95652777777778, 21.98810185185185, 22.221180555555556, 22.228842592592592, 22.355555555555554, 22.356087962962963, 22.81423611111111, 22.976712962962964 ], "time_since_last_event": [ 0.0, 0.5520833333333334, 0.7802083333333333, 0.7885416666666667, 0.04266203703703704, 0.46525462962962966, 0.025300925925925925, 0.8770601851851851, 0.0001388888888888889, 0.5440972222222222, 0.6451388888888889, 0.16458333333333333, 0.41625, 0.4170833333333333, 0.2855787037037037, 1.4746064814814814, 0.5691435185185185, 0.6107175925925926, 0.09958333333333333, 0.03921296296296296, 0.21560185185185185, 1.6402777777777777, 0.6625, 0.4361111111111111, 0.31851851851851853, 0.13847222222222222, 0.2249537037037037, 1.2569444444444444, 1.4048611111111111, 0.36319444444444443, 0.04097222222222222, 1.2438194444444444, 0.20409722222222224, 0.8458333333333333, 0.6513888888888889, 0.6706018518518518, 0.04511574074074074, 0.8244212962962963, 0.20847222222222223, 0.39275462962962965, 0.36592592592592593, 0.19375, 0.8106944444444445, 0.031574074074074074, 0.2330787037037037, 0.007662037037037037, 0.12671296296296297, 0.0005324074074074074, 0.45814814814814814, 0.16247685185185184 ], "type_event": [ 0, 7, 0, 4, 9, 4, 7, 7, 0, 0, 0, 4, 0, 0, 3, 7, 7, 7, 7, 0, 7, 7, 9, 0, 0, 0, 14, 0, 0, 7, 0, 0, 10, 0, 0, 9, 5, 0, 4, 0, 0, 7, 5, 5, 3, 0, 9, 9, 3, 11 ], "type_text": [ "Theft", "Battery", "Theft", "Motor Vehicle Theft", "Assault", "Motor Vehicle Theft", "Battery", "Battery", "Theft", "Theft", "Theft", "Motor Vehicle Theft", "Theft", "Theft", "Deceptive Practice", "Battery", "Battery", "Battery", "Battery", "Theft", "Battery", "Battery", "Assault", "Theft", "Theft", "Theft", "Criminal Sexual Assault", "Theft", "Theft", "Battery", "Theft", "Theft", "Burglary", "Theft", "Theft", "Assault", "Criminal Trespass", "Theft", "Motor Vehicle Theft", "Theft", "Theft", "Battery", "Criminal Trespass", "Criminal Trespass", "Deceptive Practice", "Theft", "Assault", "Assault", "Deceptive Practice", "Robbery" ], "description": "The sequence of crime incidents shows a varied pattern over time, with thefts occurring frequently throughout the timeline, particularly in the earlier and later months. Battery incidents are clustered around the middle of the timeline, while motor vehicle thefts appear sporadically but are concentrated in the initial months. Assaults and deceptive practices also emerge at different points, with assaults appearing more prominently in the latter part of the sequence. Criminal trespass incidents are noted towards the end, indicating a potential increase in this type of crime as the timeline progresses. Overall, theft remains the most common incident type, with a noticeable prevalence across various months." }, { "dim_process": 20, "seq_idx": 21, "seq_len": 105, "time_since_start": [ 0.0, 0.029375, 1.1919675925925926, 1.196736111111111, 1.2488194444444445, 1.4959722222222223, 1.6924537037037037, 1.694189814814815, 2.218263888888889, 2.3269444444444445, 2.561550925925926, 2.72787037037037, 2.8585416666666665, 2.9609722222222223, 3.0640972222222222, 3.1613194444444446, 3.8566203703703703, 3.957152777777778, 4.054050925925926, 4.057152777777778, 4.057546296296296, 4.191689814814815, 4.393958333333333, 4.757847222222222, 5.147777777777778, 5.7283333333333335, 5.991875, 6.230763888888889, 6.461273148148148, 6.4620138888888885, 6.507847222222222, 6.793263888888889, 6.825902777777777, 7.125555555555556, 7.322430555555556, 7.350208333333334, 7.426111111111111, 7.452523148148148, 7.461319444444444, 8.162083333333333, 8.393263888888889, 8.592962962962963, 8.595347222222221, 8.611319444444444, 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20.961666666666666, 21.034953703703703, 21.122430555555557, 21.428564814814816, 21.762013888888887, 22.19326388888889, 22.69847222222222, 22.831458333333334, 22.892569444444444, 22.968263888888888 ], "time_since_last_event": [ 0.0, 0.029375, 1.1625925925925926, 0.004768518518518518, 0.052083333333333336, 0.24715277777777778, 0.19648148148148148, 0.001736111111111111, 0.524074074074074, 0.10868055555555556, 0.23460648148148147, 0.16631944444444444, 0.13067129629629629, 0.10243055555555555, 0.103125, 0.09722222222222222, 0.695300925925926, 0.1005324074074074, 0.09689814814814815, 0.0031018518518518517, 0.0003935185185185185, 0.13414351851851852, 0.20226851851851851, 0.3638888888888889, 0.38993055555555556, 0.5805555555555556, 0.2635416666666667, 0.2388888888888889, 0.23050925925925925, 0.0007407407407407407, 0.04583333333333333, 0.28541666666666665, 0.03263888888888889, 0.29965277777777777, 0.196875, 0.027777777777777776, 0.07590277777777778, 0.026412037037037036, 0.008796296296296297, 0.7007638888888889, 0.23118055555555556, 0.19969907407407408, 0.002384259259259259, 0.01597222222222222, 0.2152777777777778, 0.0006944444444444445, 0.001851851851851852, 0.06759259259259259, 0.06180555555555556, 0.4, 0.008263888888888888, 0.19520833333333334, 0.0006944444444444445, 0.6652777777777777, 0.2310185185185185, 0.03159722222222222, 0.002662037037037037, 0.0020833333333333333, 0.03125, 0.1680324074074074, 0.10141203703703704, 0.12104166666666667, 0.2114814814814815, 0.002199074074074074, 0.13993055555555556, 0.021180555555555557, 0.2013888888888889, 0.10208333333333333, 0.7319444444444444, 0.03726851851851852, 0.45393518518518516, 0.03391203703703704, 0.446412037037037, 0.2611111111111111, 0.034027777777777775, 0.0020833333333333333, 0.003472222222222222, 0.027685185185185184, 0.06939814814814815, 0.26402777777777775, 0.06782407407407408, 0.2005787037037037, 0.0, 0.997337962962963, 0.22939814814814816, 0.33997685185185184, 0.00030092592592592595, 0.03125, 0.2671296296296296, 0.035625, 0.001412037037037037, 0.5909722222222222, 2.0059027777777776, 1.8003472222222223, 0.03212962962962963, 0.4008564814814815, 0.07328703703703704, 0.08747685185185185, 0.30613425925925924, 0.3334490740740741, 0.43125, 0.5052083333333334, 0.1329861111111111, 0.06111111111111111, 0.07569444444444444 ], "type_event": [ 0, 0, 0, 0, 0, 4, 0, 6, 3, 0, 0, 0, 6, 0, 0, 0, 11, 0, 0, 0, 3, 11, 0, 0, 0, 0, 3, 11, 0, 6, 10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 6, 0, 6, 0, 6, 4, 0, 0, 6, 0, 0, 0, 0, 0, 8, 6, 0, 0, 0, 6, 6, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 4, 0, 0, 0, 6, 0, 0, 0, 0, 4, 0, 0 ], "type_text": [ "Theft", "Theft", "Theft", "Theft", "Theft", "Motor Vehicle Theft", "Theft", "Criminal Damage", "Deceptive Practice", "Theft", "Theft", "Theft", "Criminal Damage", "Theft", "Theft", "Theft", "Robbery", "Theft", "Theft", "Theft", "Deceptive Practice", "Robbery", "Theft", "Theft", "Theft", "Theft", "Deceptive Practice", "Robbery", "Theft", "Criminal Damage", "Burglary", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Criminal Damage", "Theft", "Theft", "Theft", "Criminal Damage", "Theft", "Criminal Damage", "Theft", "Criminal Damage", "Motor Vehicle Theft", "Theft", "Theft", "Criminal Damage", "Theft", "Theft", "Theft", "Theft", "Theft", "Other Offense", "Criminal Damage", "Theft", "Theft", "Theft", "Criminal Damage", "Criminal Damage", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Criminal Damage", "Theft", "Theft", "Theft", "Theft", "Theft", "Criminal Damage", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Criminal Damage", "Motor Vehicle Theft", "Theft", "Theft", "Theft", "Criminal Damage", "Theft", "Theft", "Theft", "Theft", "Motor Vehicle Theft", "Theft", "Theft" ], "description": "The sequence of crime incidents in the Chicago block shows a predominance of thefts occurring throughout the timeline, particularly clustered in the first few months and again in the later months. Criminal damage incidents appear intermittently, often following thefts, while motor vehicle thefts are reported less frequently but are noted at various intervals. Robberies are recorded sporadically, primarily in the earlier months, and deceptive practices also appear in clusters around the second and fifth months. Overall, theft is the most consistently reported crime type, with noticeable peaks and clusters at different points in the timeline." }, { "dim_process": 20, "seq_idx": 22, "seq_len": 56, "time_since_start": [ 0.0, 0.6782870370370371, 0.6998842592592592, 1.114074074074074, 1.1777777777777778, 1.2061805555555556, 1.7024537037037037, 2.130949074074074, 2.2371296296296297, 2.2430555555555554, 3.382037037037037, 3.4585648148148147, 3.9756944444444446, 4.452083333333333, 5.511111111111111, 5.641666666666667, 6.316666666666666, 7.2254398148148145, 7.437037037037037, 7.530555555555556, 7.5554398148148145, 8.113981481481481, 8.118055555555555, 8.136805555555556, 8.392824074074074, 8.536226851851852, 9.187314814814815, 10.779606481481482, 10.78037037037037, 10.827916666666667, 11.63761574074074, 11.705972222222222, 13.294212962962963, 13.678356481481481, 14.327407407407408, 14.327430555555555, 15.064351851851852, 15.36414351851852, 16.542824074074073, 16.57289351851852, 17.179166666666667, 17.383333333333333, 17.9125, 18.105324074074073, 18.281944444444445, 18.601388888888888, 18.780162037037037, 18.88564814814815, 19.336898148148148, 19.808518518518518, 20.26236111111111, 20.333333333333332, 20.84722222222222, 22.12960648148148, 22.830208333333335, 23.87638888888889 ], "time_since_last_event": [ 0.0, 0.6782870370370371, 0.021597222222222223, 0.4141898148148148, 0.0637037037037037, 0.028402777777777777, 0.49627314814814816, 0.4284953703703704, 0.10618055555555556, 0.005925925925925926, 1.1389814814814814, 0.07652777777777778, 0.5171296296296296, 0.47638888888888886, 1.0590277777777777, 0.13055555555555556, 0.675, 0.9087731481481481, 0.21159722222222221, 0.09351851851851851, 0.02488425925925926, 0.5585416666666667, 0.004074074074074074, 0.01875, 0.25601851851851853, 0.14340277777777777, 0.651087962962963, 1.5922916666666667, 0.0007638888888888889, 0.047546296296296295, 0.809699074074074, 0.06835648148148148, 1.5882407407407408, 0.3841435185185185, 0.649050925925926, 2.3148148148148147e-05, 0.7369212962962963, 0.2997916666666667, 1.1786805555555555, 0.030069444444444444, 0.6062731481481481, 0.20416666666666666, 0.5291666666666667, 0.19282407407407406, 0.17662037037037037, 0.3194444444444444, 0.17877314814814815, 0.10548611111111111, 0.45125, 0.47162037037037036, 0.4538425925925926, 0.07097222222222223, 0.5138888888888888, 1.2823842592592594, 0.7006018518518519, 1.0461805555555554 ], "type_event": [ 7, 16, 16, 7, 4, 16, 11, 7, 7, 11, 6, 7, 4, 4, 7, 9, 9, 7, 7, 4, 7, 16, 6, 11, 0, 16, 9, 19, 19, 16, 7, 15, 9, 16, 16, 16, 16, 1, 6, 11, 7, 7, 0, 7, 9, 10, 6, 9, 9, 8, 7, 11, 3, 19, 8, 6 ], "type_text": [ "Battery", "Narcotics", "Narcotics", "Battery", "Motor Vehicle Theft", "Narcotics", "Robbery", "Battery", "Battery", "Robbery", "Criminal Damage", "Battery", "Motor Vehicle Theft", "Motor Vehicle Theft", "Battery", "Assault", "Assault", "Battery", "Battery", "Motor Vehicle Theft", "Battery", "Narcotics", "Criminal Damage", "Robbery", "Theft", "Narcotics", "Assault", "Homicide", "Homicide", "Narcotics", "Battery", "Interference With Public Officer", "Assault", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Weapons Violation", "Criminal Damage", "Robbery", "Battery", "Battery", "Theft", "Battery", "Assault", "Burglary", "Criminal Damage", "Assault", "Assault", "Other Offense", "Battery", "Robbery", "Deceptive Practice", "Homicide", "Other Offense", "Criminal Damage" ], "description": "The sequence of crime incidents shows a variety of crime types occurring over time, with notable clusters of specific offenses. Battery incidents are frequent and appear consistently throughout the timeline, particularly in the early and middle months. Narcotics offenses also occur regularly, with peaks around the 1 to 15-month mark. Motor vehicle thefts and robberies are more concentrated in the early to mid-period, while homicide incidents are reported later in the sequence. Criminal damage and assaults are interspersed throughout, with some clustering in the latter months. Overall, there is a trend of increasing crime variety as time progresses, with certain types like battery and narcotics remaining prevalent." }, { "dim_process": 20, "seq_idx": 23, "seq_len": 37, "time_since_start": [ 0.0, 0.38055555555555554, 0.7770833333333333, 1.2744675925925926, 1.7083333333333333, 1.840625, 2.183101851851852, 2.469236111111111, 2.925, 3.6326388888888888, 3.635300925925926, 5.459722222222222, 6.535416666666666, 6.833333333333333, 7.391643518518518, 10.871180555555556, 11.21111111111111, 11.39826388888889, 14.470138888888888, 14.507800925925926, 15.495833333333334, 15.843518518518518, 17.35972222222222, 18.43773148148148, 18.731944444444444, 19.377083333333335, 19.948310185185186, 20.327546296296298, 20.445740740740742, 21.003819444444446, 21.027199074074073, 21.502083333333335, 21.86875, 22.055208333333333, 22.283564814814813, 23.09722222222222, 23.47076388888889 ], "time_since_last_event": [ 0.0, 0.38055555555555554, 0.39652777777777776, 0.4973842592592593, 0.43386574074074075, 0.13229166666666667, 0.34247685185185184, 0.2861342592592593, 0.4557638888888889, 0.7076388888888889, 0.002662037037037037, 1.8244212962962962, 1.0756944444444445, 0.29791666666666666, 0.5583101851851852, 3.479537037037037, 0.33993055555555557, 0.18715277777777778, 3.071875, 0.037662037037037036, 0.9880324074074074, 0.3476851851851852, 1.5162037037037037, 1.0780092592592592, 0.29421296296296295, 0.6451388888888889, 0.5712268518518518, 0.3792361111111111, 0.11819444444444445, 0.5580787037037037, 0.02337962962962963, 0.47488425925925926, 0.36666666666666664, 0.18645833333333334, 0.2283564814814815, 0.8136574074074074, 0.37354166666666666 ], "type_event": [ 0, 0, 0, 1, 0, 3, 7, 9, 7, 5, 7, 8, 0, 7, 7, 0, 0, 7, 2, 6, 0, 7, 6, 7, 4, 3, 7, 4, 11, 0, 7, 4, 0, 10, 8, 5, 11 ], "type_text": [ "Theft", "Theft", "Theft", "Weapons Violation", "Theft", "Deceptive Practice", "Battery", "Assault", "Battery", "Criminal Trespass", "Battery", "Other Offense", "Theft", "Battery", "Battery", "Theft", "Theft", "Battery", "Sex Offense", "Criminal Damage", "Theft", "Battery", "Criminal Damage", "Battery", "Motor Vehicle Theft", "Deceptive Practice", "Battery", "Motor Vehicle Theft", "Robbery", "Theft", "Battery", "Motor Vehicle Theft", "Theft", "Burglary", "Other Offense", "Criminal Trespass", "Robbery" ], "description": "The sequence of crime incidents begins with a series of thefts occurring within the first few months, followed by a mix of violent offenses like battery and assault emerging slightly later. As time progresses, there is a noticeable clustering of battery incidents, particularly between the 2 and 8-month marks. The occurrence of thefts remains consistent throughout the timeline, with additional crime types such as robbery and motor vehicle theft appearing in the later months. Overall, thefts are the most frequent early on, while violent crimes and property crimes show a more varied distribution over time." }, { "dim_process": 20, "seq_idx": 24, "seq_len": 46, "time_since_start": [ 0.0, 1.2079166666666667, 1.3988888888888888, 1.535, 1.8711111111111112, 1.8721296296296297, 1.9016203703703705, 1.9089583333333333, 2.4669444444444446, 3.0511574074074073, 3.7398611111111113, 3.9988888888888887, 4.2415972222222225, 4.375439814814815, 4.638935185185185, 6.038819444444444, 6.275972222222222, 6.339699074074074, 6.735, 6.7353703703703705, 7.675046296296296, 7.875046296296296, 7.932222222222222, 8.075277777777778, 8.109768518518518, 9.308703703703705, 9.93824074074074, 10.007685185185185, 10.008263888888889, 10.941365740740741, 12.098310185185186, 12.304444444444444, 12.335347222222222, 13.735, 14.241180555555555, 14.2725, 16.354444444444443, 18.131296296296295, 20.00351851851852, 20.150277777777777, 20.30837962962963, 20.34958333333333, 21.080601851851853, 22.161620370370372, 23.11, 23.678055555555556 ], "time_since_last_event": [ 0.0, 1.2079166666666667, 0.1909722222222222, 0.1361111111111111, 0.33611111111111114, 0.0010185185185185184, 0.02949074074074074, 0.007337962962962963, 0.5579861111111111, 0.584212962962963, 0.6887037037037037, 0.2590277777777778, 0.24270833333333333, 0.1338425925925926, 0.26349537037037035, 1.3998842592592593, 0.23715277777777777, 0.06372685185185185, 0.3953009259259259, 0.00037037037037037035, 0.939675925925926, 0.2, 0.05717592592592593, 0.14305555555555555, 0.03449074074074074, 1.1989351851851853, 0.629537037037037, 0.06944444444444445, 0.0005787037037037037, 0.9331018518518519, 1.1569444444444446, 0.20613425925925927, 0.03090277777777778, 1.3996527777777779, 0.5061805555555555, 0.03131944444444444, 2.0819444444444444, 1.776851851851852, 1.8722222222222222, 0.14675925925925926, 0.15810185185185185, 0.0412037037037037, 0.7310185185185185, 1.0810185185185186, 0.9483796296296296, 0.5680555555555555 ], "type_event": [ 7, 9, 7, 9, 0, 8, 9, 9, 9, 7, 7, 7, 7, 8, 9, 7, 6, 9, 7, 7, 7, 9, 9, 9, 6, 7, 7, 9, 7, 9, 4, 7, 9, 9, 7, 4, 6, 9, 11, 11, 7, 11, 11, 7, 0, 6 ], "type_text": [ "Battery", "Assault", "Battery", "Assault", "Theft", "Other Offense", "Assault", "Assault", "Assault", "Battery", "Battery", "Battery", "Battery", "Other Offense", "Assault", "Battery", "Criminal Damage", "Assault", "Battery", "Battery", "Battery", "Assault", "Assault", "Assault", "Criminal Damage", "Battery", "Battery", "Assault", "Battery", "Assault", "Motor Vehicle Theft", "Battery", "Assault", "Assault", "Battery", "Motor Vehicle Theft", "Criminal Damage", "Assault", "Robbery", "Robbery", "Battery", "Robbery", "Robbery", "Battery", "Theft", "Criminal Damage" ], "description": "The sequence of crime incidents shows a pattern where assaults and batteries are the most frequent types of offenses, occurring throughout the timeline, particularly clustered in the earlier months. Other offenses and criminal damage appear intermittently, while motor vehicle theft and robbery incidents are noted later in the sequence. Notably, there is a significant increase in the variety of crime types as time progresses, with a shift towards more serious offenses like robbery occurring in the latter part of the timeline." }, { "dim_process": 20, "seq_idx": 25, "seq_len": 46, "time_since_start": [ 0.0, 1.3922685185185186, 2.035509259259259, 4.246342592592592, 4.576203703703704, 4.990231481481482, 6.570393518518519, 6.644953703703703, 6.722037037037037, 7.378287037037037, 7.786041666666667, 8.13037037037037, 8.374027777777778, 8.837083333333334, 10.327314814814814, 10.356898148148149, 12.193564814814815, 13.253981481481482, 14.701898148148148, 14.925856481481482, 16.443564814814813, 16.669953703703705, 16.93662037037037, 17.772060185185186, 18.226550925925928, 18.403287037037035, 18.428819444444443, 18.669953703703705, 19.701203703703705, 19.80733796296296, 20.604791666666667, 20.956689814814816, 21.23777777777778, 21.29675925925926, 21.939398148148147, 22.23009259259259, 22.36224537037037, 22.408333333333335, 22.54164351851852, 23.17474537037037, 23.29634259259259, 23.335231481481483, 23.372916666666665, 23.507453703703703, 23.583148148148148, 23.660625 ], "time_since_last_event": [ 0.0, 1.3922685185185186, 0.6432407407407408, 2.2108333333333334, 0.3298611111111111, 0.4140277777777778, 1.580162037037037, 0.07456018518518519, 0.07708333333333334, 0.65625, 0.4077546296296296, 0.3443287037037037, 0.2436574074074074, 0.46305555555555555, 1.4902314814814814, 0.029583333333333333, 1.8366666666666667, 1.0604166666666666, 1.4479166666666667, 0.22395833333333334, 1.5177083333333334, 0.2263888888888889, 0.26666666666666666, 0.8354398148148148, 0.45449074074074075, 0.17673611111111112, 0.025532407407407406, 0.24113425925925927, 1.03125, 0.10613425925925926, 0.7974537037037037, 0.3518981481481481, 0.28108796296296296, 0.05898148148148148, 0.6426388888888889, 0.2906944444444444, 0.13215277777777779, 0.04608796296296296, 0.1333101851851852, 0.6331018518518519, 0.12159722222222222, 0.03888888888888889, 0.03768518518518518, 0.13453703703703704, 0.07569444444444444, 0.07747685185185185 ], "type_event": [ 7, 9, 6, 7, 7, 7, 7, 7, 9, 9, 9, 7, 10, 6, 7, 9, 9, 7, 4, 7, 6, 4, 4, 7, 4, 9, 6, 13, 6, 6, 7, 8, 12, 8, 7, 1, 7, 9, 6, 7, 7, 6, 0, 6, 9, 9 ], "type_text": [ "Battery", "Assault", "Criminal Damage", "Battery", "Battery", "Battery", "Battery", "Battery", "Assault", "Assault", "Assault", "Battery", "Burglary", "Criminal Damage", "Battery", "Assault", "Assault", "Battery", "Motor Vehicle Theft", "Battery", "Criminal Damage", "Motor Vehicle Theft", "Motor Vehicle Theft", "Battery", "Motor Vehicle Theft", "Assault", "Criminal Damage", "Offense Involving Children", "Criminal Damage", "Criminal Damage", "Battery", "Other Offense", "Arson", "Other Offense", "Battery", "Weapons Violation", "Battery", "Assault", "Criminal Damage", "Battery", "Battery", "Criminal Damage", "Theft", "Criminal Damage", "Assault", "Assault" ], "description": "The sequence of crime incidents shows a progression of various crime types over time, with a notable clustering of battery incidents occurring early in the timeline. Assaults also appear frequently, particularly in the mid to later months. Criminal damage incidents are spread throughout the sequence, with some peaks observed in the later months. Motor vehicle thefts emerge in the later stages, alongside a variety of other offenses, including arson and weapons violations, indicating a diversification of crime types as time progresses. Overall, there is a trend of increasing complexity in the types of incidents reported as the sequence unfolds." }, { "dim_process": 20, "seq_idx": 26, "seq_len": 120, "time_since_start": [ 0.0, 0.15763888888888888, 0.5055555555555555, 0.5354166666666667, 0.8541666666666666, 0.8916666666666667, 1.0543518518518518, 1.3423611111111111, 1.4357638888888888, 1.5260416666666667, 2.135625, 2.199375, 2.288611111111111, 2.301759259259259, 2.8049537037037036, 2.8273148148148146, 2.931388888888889, 2.942638888888889, 3.0637037037037036, 3.2317824074074073, 3.529027777777778, 3.5594907407407406, 4.320717592592593, 4.690277777777778, 4.793101851851852, 4.82875, 5.292731481481481, 5.3052777777777775, 5.536388888888889, 5.558449074074074, 5.595833333333333, 5.871412037037037, 6.093819444444445, 6.349930555555556, 6.407777777777778, 6.408333333333333, 6.808263888888889, 7.208333333333333, 7.367708333333334, 7.4662037037037035, 7.864884259259259, 8.064351851851852, 8.175694444444444, 8.265162037037037, 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0.29800925925925925, 0.06875, 0.1967361111111111, 0.1686574074074074, 0.128125, 0.052662037037037035, 0.06782407407407408, 0.18907407407407406, 0.1373148148148148, 0.3611111111111111, 0.07569444444444444, 0.12013888888888889, 0.060208333333333336, 0.07736111111111112, 0.5447222222222222, 0.1975, 0.03895833333333333, 0.017361111111111112, 0.07789351851851851, 0.22083333333333333, 0.106875, 0.3548148148148148, 0.2619675925925926, 0.060648148148148145, 0.03224537037037037, 0.03553240740740741, 0.08877314814814814, 0.0869675925925926, 0.4871064814814815, 0.01238425925925926, 0.3295138888888889, 0.24131944444444445, 0.08125, 0.40914351851851855, 0.5457175925925926, 0.16592592592592592, 0.04553240740740741, 0.7445138888888889, 0.12909722222222222, 0.31210648148148146, 0.05108796296296296, 0.19305555555555556 ], "type_event": [ 11, 11, 4, 11, 17, 7, 7, 11, 0, 0, 1, 7, 9, 11, 11, 6, 7, 4, 7, 11, 6, 9, 7, 0, 6, 7, 1, 7, 7, 0, 7, 7, 9, 1, 7, 16, 19, 0, 0, 7, 1, 9, 6, 7, 0, 9, 0, 0, 0, 0, 9, 9, 0, 11, 7, 7, 0, 11, 4, 6, 1, 7, 1, 11, 9, 7, 9, 7, 11, 4, 5, 7, 3, 0, 7, 3, 7, 5, 6, 1, 3, 0, 7, 7, 4, 7, 7, 0, 11, 7, 0, 9, 7, 14, 0, 3, 1, 16, 11, 11, 6, 7, 7, 11, 7, 4, 11, 16, 5, 7, 6, 11, 7, 7, 11, 11, 7, 11, 11, 4 ], "type_text": [ "Robbery", "Robbery", "Motor Vehicle Theft", "Robbery", "Stalking", "Battery", "Battery", "Robbery", "Theft", "Theft", "Weapons Violation", "Battery", "Assault", "Robbery", "Robbery", "Criminal Damage", "Battery", "Motor Vehicle Theft", "Battery", "Robbery", "Criminal Damage", "Assault", "Battery", "Theft", "Criminal Damage", "Battery", "Weapons Violation", "Battery", "Battery", "Theft", "Battery", "Battery", "Assault", "Weapons Violation", "Battery", "Narcotics", "Homicide", "Theft", "Theft", "Battery", "Weapons Violation", "Assault", "Criminal Damage", "Battery", "Theft", "Assault", "Theft", "Theft", "Theft", "Theft", "Assault", "Assault", "Theft", "Robbery", "Battery", "Battery", "Theft", "Robbery", "Motor Vehicle Theft", "Criminal Damage", "Weapons Violation", "Battery", "Weapons Violation", "Robbery", "Assault", "Battery", "Assault", "Battery", "Robbery", "Motor Vehicle Theft", "Criminal Trespass", "Battery", "Deceptive Practice", "Theft", "Battery", "Deceptive Practice", "Battery", "Criminal Trespass", "Criminal Damage", "Weapons Violation", "Deceptive Practice", "Theft", "Battery", "Battery", "Motor Vehicle Theft", "Battery", "Battery", "Theft", "Robbery", "Battery", "Theft", "Assault", "Battery", "Criminal Sexual Assault", "Theft", "Deceptive Practice", "Weapons Violation", "Narcotics", "Robbery", "Robbery", "Criminal Damage", "Battery", "Battery", "Robbery", "Battery", "Motor Vehicle Theft", "Robbery", "Narcotics", "Criminal Trespass", "Battery", "Criminal Damage", "Robbery", "Battery", "Battery", "Robbery", "Robbery", "Battery", "Robbery", "Robbery", "Motor Vehicle Theft" ], "description": "The sequence of crime incidents shows a diverse range of crime types reported over time, with notable clusters of certain events. Robberies appear frequently throughout the timeline, particularly in the earlier months and again in later periods, indicating a sustained presence. Battery incidents are also prevalent, occurring consistently at various intervals, often following or preceding other crime types. Motor vehicle thefts are reported sporadically, with a few occurrences clustered towards the end of the sequence. Additionally, weapons violations and thefts are interspersed throughout, with a noticeable increase in the variety of crime types as time progresses." }, { "dim_process": 20, "seq_idx": 27, "seq_len": 62, "time_since_start": [ 0.0, 0.002777777777777778, 1.168287037037037, 3.1024305555555554, 3.1805555555555554, 4.361111111111111, 4.811805555555556, 5.091388888888889, 5.735300925925926, 5.788194444444445, 5.823611111111111, 5.993055555555555, 6.139490740740741, 6.783333333333333, 6.945393518518519, 7.2503472222222225, 7.499884259259259, 7.795138888888889, 7.880439814814815, 8.183333333333334, 8.566666666666666, 9.204166666666667, 10.2, 11.516666666666667, 11.733333333333333, 12.116087962962963, 12.249930555555556, 12.470138888888888, 12.50625, 12.958333333333334, 14.056944444444444, 14.227083333333333, 14.3625, 14.78900462962963, 14.934282407407407, 15.100347222222222, 15.580555555555556, 15.757060185185185, 16.382638888888888, 17.132060185185185, 17.33136574074074, 17.755787037037038, 17.778495370370372, 18.895833333333332, 18.908333333333335, 19.945833333333333, 19.98125, 19.993055555555557, 20.04722222222222, 20.167361111111113, 20.365625, 20.645833333333332, 20.665277777777778, 20.72951388888889, 20.977546296296296, 21.545833333333334, 21.549305555555556, 21.948611111111113, 22.161805555555556, 22.715694444444445, 23.12986111111111, 24.12152777777778 ], "time_since_last_event": [ 0.0, 0.002777777777777778, 1.1655092592592593, 1.9341435185185185, 0.078125, 1.1805555555555556, 0.45069444444444445, 0.27958333333333335, 0.643912037037037, 0.05289351851851852, 0.035416666666666666, 0.16944444444444445, 0.1464351851851852, 0.6438425925925926, 0.1620601851851852, 0.3049537037037037, 0.24953703703703703, 0.2952546296296296, 0.08530092592592593, 0.30289351851851853, 0.38333333333333336, 0.6375, 0.9958333333333333, 1.3166666666666667, 0.21666666666666667, 0.38275462962962964, 0.1338425925925926, 0.22020833333333334, 0.03611111111111111, 0.45208333333333334, 1.0986111111111112, 0.1701388888888889, 0.13541666666666666, 0.42650462962962965, 0.14527777777777778, 0.1660648148148148, 0.48020833333333335, 0.17650462962962962, 0.6255787037037037, 0.7494212962962963, 0.19930555555555557, 0.42442129629629627, 0.022708333333333334, 1.117337962962963, 0.0125, 1.0375, 0.035416666666666666, 0.011805555555555555, 0.05416666666666667, 0.12013888888888889, 0.19826388888888888, 0.28020833333333334, 0.019444444444444445, 0.0642361111111111, 0.2480324074074074, 0.5682870370370371, 0.003472222222222222, 0.3993055555555556, 0.21319444444444444, 0.5538888888888889, 0.4141666666666667, 0.9916666666666667 ], "type_event": [ 0, 14, 7, 7, 0, 9, 0, 3, 7, 7, 17, 0, 6, 0, 7, 7, 7, 7, 0, 0, 0, 7, 0, 0, 3, 3, 1, 8, 8, 3, 3, 6, 0, 0, 9, 4, 7, 3, 0, 3, 0, 5, 9, 6, 6, 3, 0, 4, 0, 0, 9, 3, 0, 9, 0, 3, 9, 7, 10, 8, 9, 4 ], "type_text": [ "Theft", "Criminal Sexual Assault", "Battery", "Battery", "Theft", "Assault", "Theft", "Deceptive Practice", "Battery", "Battery", "Stalking", "Theft", "Criminal Damage", "Theft", "Battery", "Battery", "Battery", "Battery", "Theft", "Theft", "Theft", "Battery", "Theft", "Theft", "Deceptive Practice", "Deceptive Practice", "Weapons Violation", "Other Offense", "Other Offense", "Deceptive Practice", "Deceptive Practice", "Criminal Damage", "Theft", "Theft", "Assault", "Motor Vehicle Theft", "Battery", "Deceptive Practice", "Theft", "Deceptive Practice", "Theft", "Criminal Trespass", "Assault", "Criminal Damage", "Criminal Damage", "Deceptive Practice", "Theft", "Motor Vehicle Theft", "Theft", "Theft", "Assault", "Deceptive Practice", "Theft", "Assault", "Theft", "Deceptive Practice", "Assault", "Battery", "Burglary", "Other Offense", "Assault", "Motor Vehicle Theft" ], "description": "The sequence of crime incidents shows a variety of crime types reported over time, with notable clustering of certain events. Initially, theft and criminal sexual assault are reported, followed by a series of battery incidents occurring in close succession. Over the following months, theft incidents become increasingly frequent, often occurring alongside various other crimes such as assault, deceptive practices, and criminal damage. Towards the end of the sequence, there is a noticeable increase in the reporting of motor vehicle thefts, indicating a potential shift in the types of crimes occurring. Overall, theft appears to be a persistent trend throughout the timeline, with other crime types emerging intermittently." }, { "dim_process": 20, "seq_idx": 28, "seq_len": 48, "time_since_start": [ 0.0, 0.0062037037037037035, 0.2976388888888889, 0.3942824074074074, 1.9012268518518518, 2.4362731481481483, 2.922523148148148, 3.598101851851852, 3.9276157407407406, 4.434560185185185, 5.787337962962963, 6.40400462962963, 7.124606481481481, 7.662199074074074, 8.654791666666666, 9.25400462962963, 9.847407407407408, 9.921458333333334, 9.9575, 9.963148148148148, 10.459930555555555, 11.180486111111112, 11.195439814814815, 11.270671296296296, 11.761157407407408, 12.781435185185185, 12.85113425925926, 13.96511574074074, 14.28974537037037, 16.30902777777778, 16.370671296296297, 16.504444444444445, 17.610115740740742, 18.073587962962964, 18.165694444444444, 18.337337962962962, 19.23386574074074, 19.482916666666668, 20.790972222222223, 20.996319444444445, 21.193564814814813, 21.722060185185185, 21.842199074074074, 22.351712962962964, 22.759560185185187, 22.826921296296295, 22.839305555555555, 23.693935185185186 ], "time_since_last_event": [ 0.0, 0.0062037037037037035, 0.2914351851851852, 0.09664351851851852, 1.5069444444444444, 0.5350462962962963, 0.48625, 0.6755787037037037, 0.3295138888888889, 0.5069444444444444, 1.3527777777777779, 0.6166666666666667, 0.7206018518518519, 0.5375925925925926, 0.9925925925925926, 0.599212962962963, 0.5934027777777777, 0.07405092592592592, 0.036041666666666666, 0.005648148148148148, 0.4967824074074074, 0.7205555555555555, 0.014953703703703703, 0.07523148148148148, 0.4904861111111111, 1.0202777777777778, 0.06969907407407408, 1.1139814814814815, 0.32462962962962966, 2.0192824074074074, 0.06164351851851852, 0.13377314814814814, 1.1056712962962962, 0.46347222222222223, 0.09210648148148148, 0.17164351851851853, 0.8965277777777778, 0.24905092592592593, 1.3080555555555555, 0.2053472222222222, 0.19724537037037038, 0.5284953703703704, 0.12013888888888889, 0.5095138888888889, 0.40784722222222225, 0.06736111111111111, 0.01238425925925926, 0.8546296296296296 ], "type_event": [ 7, 11, 0, 11, 0, 9, 7, 0, 11, 1, 11, 0, 9, 8, 9, 9, 4, 9, 6, 7, 7, 7, 9, 0, 14, 7, 11, 6, 1, 10, 4, 10, 10, 9, 9, 3, 7, 11, 1, 9, 6, 8, 11, 13, 0, 6, 6, 7 ], "type_text": [ "Battery", "Robbery", "Theft", "Robbery", "Theft", "Assault", "Battery", "Theft", "Robbery", "Weapons Violation", "Robbery", "Theft", "Assault", "Other Offense", "Assault", "Assault", "Motor Vehicle Theft", "Assault", "Criminal Damage", "Battery", "Battery", "Battery", "Assault", "Theft", "Criminal Sexual Assault", "Battery", "Robbery", "Criminal Damage", "Weapons Violation", "Burglary", "Motor Vehicle Theft", "Burglary", "Burglary", "Assault", "Assault", "Deceptive Practice", "Battery", "Robbery", "Weapons Violation", "Assault", "Criminal Damage", "Other Offense", "Robbery", "Offense Involving Children", "Theft", "Criminal Damage", "Criminal Damage", "Battery" ], "description": "The sequence of crime incidents begins with battery and robbery occurring early on, followed by a mix of theft and robbery incidents in the first few months. As time progresses, assaults become more frequent, particularly clustered between the 7th and 12th months. The latter part of the sequence sees an increase in various offenses, including multiple instances of burglary and weapons violations, with a notable rise in criminal damage incidents towards the end. Overall, there is a trend of increasing complexity and variety in crime types as the timeline advances." }, { "dim_process": 20, "seq_idx": 29, "seq_len": 36, "time_since_start": [ 0.0, 0.7805555555555556, 1.9653935185185185, 2.149560185185185, 2.4854166666666666, 2.770138888888889, 3.1840277777777777, 3.8238425925925927, 5.3125, 5.905787037037037, 6.817824074074074, 7.048263888888889, 7.146527777777778, 7.53125, 8.548518518518518, 9.215787037037037, 10.782638888888888, 11.469236111111112, 11.66875, 12.344791666666667, 14.487638888888888, 15.736921296296297, 16.643055555555556, 16.87986111111111, 17.005787037037038, 17.749305555555555, 18.452083333333334, 18.716898148148147, 19.734953703703702, 20.325694444444444, 21.198611111111113, 21.28125, 21.501041666666666, 21.752083333333335, 22.78388888888889, 22.963194444444444 ], "time_since_last_event": [ 0.0, 0.7805555555555556, 1.184837962962963, 0.18416666666666667, 0.3358564814814815, 0.2847222222222222, 0.41388888888888886, 0.6398148148148148, 1.4886574074074075, 0.593287037037037, 0.9120370370370371, 0.23043981481481482, 0.09826388888888889, 0.38472222222222224, 1.0172685185185186, 0.6672685185185185, 1.566851851851852, 0.6865972222222222, 0.19951388888888888, 0.6760416666666667, 2.142847222222222, 1.2492824074074074, 0.9061342592592593, 0.23680555555555555, 0.1259259259259259, 0.7435185185185185, 0.7027777777777777, 0.26481481481481484, 1.0180555555555555, 0.5907407407407408, 0.8729166666666667, 0.08263888888888889, 0.21979166666666666, 0.25104166666666666, 1.0318055555555556, 0.17930555555555555 ], "type_event": [ 7, 9, 7, 7, 8, 0, 8, 7, 7, 7, 9, 7, 4, 6, 0, 9, 4, 7, 0, 6, 6, 3, 4, 7, 0, 9, 4, 0, 1, 10, 3, 11, 0, 13, 6, 2 ], "type_text": [ "Battery", "Assault", "Battery", "Battery", "Other Offense", "Theft", "Other Offense", "Battery", "Battery", "Battery", "Assault", "Battery", "Motor Vehicle Theft", "Criminal Damage", "Theft", "Assault", "Motor Vehicle Theft", "Battery", "Theft", "Criminal Damage", "Criminal Damage", "Deceptive Practice", "Motor Vehicle Theft", "Battery", "Theft", "Assault", "Motor Vehicle Theft", "Theft", "Weapons Violation", "Burglary", "Deceptive Practice", "Robbery", "Theft", "Offense Involving Children", "Criminal Damage", "Sex Offense" ], "description": "The sequence of crime incidents shows a pattern where battery incidents occur frequently in the early months, with several occurrences clustered within the first year. Assaults and thefts also appear in the initial months, but their frequency decreases as time progresses. Motor vehicle thefts and criminal damage incidents start to appear more prominently in the latter half of the timeline, alongside a rise in other offenses such as robbery and weapons violations. Overall, the data indicates a shift in the types of crimes reported over time, with certain offenses becoming more prevalent in the latter stages of the sequence." }, { "dim_process": 20, "seq_idx": 30, "seq_len": 48, "time_since_start": [ 0.0, 0.9089351851851852, 1.3300694444444445, 1.5256944444444445, 1.732175925925926, 1.7916666666666667, 2.295, 2.307337962962963, 2.6415277777777777, 3.736550925925926, 4.4099305555555555, 4.949305555555555, 5.969444444444444, 6.092361111111111, 6.397037037037037, 6.404652777777778, 7.003402777777778, 7.1618055555555555, 7.205555555555556, 8.0375, 8.070833333333333, 9.329560185185185, 10.325, 11.199652777777779, 11.844583333333333, 12.504513888888889, 12.70138888888889, 12.859027777777778, 13.228240740740741, 13.544444444444444, 14.54861111111111, 14.638032407407408, 15.10150462962963, 15.563356481481481, 15.692476851851852, 16.216666666666665, 16.82625, 16.863541666666666, 17.60354166666667, 17.636574074074073, 17.637037037037036, 17.664583333333333, 17.707638888888887, 19.37013888888889, 20.664837962962963, 21.268055555555556, 22.17039351851852, 22.780416666666667 ], "time_since_last_event": [ 0.0, 0.9089351851851852, 0.42113425925925924, 0.195625, 0.2064814814814815, 0.05949074074074074, 0.5033333333333333, 0.012337962962962964, 0.3341898148148148, 1.095023148148148, 0.6733796296296296, 0.539375, 1.020138888888889, 0.12291666666666666, 0.3046759259259259, 0.007615740740740741, 0.59875, 0.15840277777777778, 0.04375, 0.8319444444444445, 0.03333333333333333, 1.258726851851852, 0.9954398148148148, 0.8746527777777777, 0.6449305555555556, 0.6599305555555556, 0.196875, 0.15763888888888888, 0.36921296296296297, 0.3162037037037037, 1.0041666666666667, 0.08942129629629629, 0.46347222222222223, 0.46185185185185185, 0.12912037037037036, 0.5241898148148149, 0.6095833333333334, 0.03729166666666667, 0.74, 0.033032407407407406, 0.000462962962962963, 0.027546296296296298, 0.043055555555555555, 1.6625, 1.294699074074074, 0.6032175925925926, 0.902337962962963, 0.6100231481481482 ], "type_event": [ 5, 1, 16, 3, 4, 9, 7, 8, 1, 1, 8, 7, 7, 7, 1, 4, 9, 0, 0, 6, 4, 7, 8, 16, 11, 0, 4, 7, 11, 4, 7, 1, 7, 9, 11, 0, 17, 7, 16, 16, 16, 7, 0, 7, 8, 11, 8, 7 ], "type_text": [ "Criminal Trespass", "Weapons Violation", "Narcotics", "Deceptive Practice", "Motor Vehicle Theft", "Assault", "Battery", "Other Offense", "Weapons Violation", "Weapons Violation", "Other Offense", "Battery", "Battery", "Battery", "Weapons Violation", "Motor Vehicle Theft", "Assault", "Theft", "Theft", "Criminal Damage", "Motor Vehicle Theft", "Battery", "Other Offense", "Narcotics", "Robbery", "Theft", "Motor Vehicle Theft", "Battery", "Robbery", "Motor Vehicle Theft", "Battery", "Weapons Violation", "Battery", "Assault", "Robbery", "Theft", "Stalking", "Battery", "Narcotics", "Narcotics", "Narcotics", "Battery", "Theft", "Battery", "Other Offense", "Robbery", "Other Offense", "Battery" ], "description": "The sequence of crime incidents shows a progression of various crime types occurring over time, with notable clusters of specific offenses. Initially, incidents such as criminal trespass and weapons violations appear early in the timeline, followed by a mix of narcotics, theft, and assaults. A significant number of battery incidents emerge around the middle of the timeline, indicating a peak in violent offenses. Towards the later stages, robberies and other offenses become more frequent, while motor vehicle thefts also appear intermittently throughout the sequence. Overall, violent crimes tend to cluster in the middle to later months, while property crimes like theft and motor vehicle theft are more evenly distributed." }, { "dim_process": 20, "seq_idx": 31, "seq_len": 48, "time_since_start": [ 0.0, 0.1857175925925926, 0.7343287037037037, 0.8263425925925926, 1.464189814814815, 1.8251851851851852, 2.03787037037037, 2.4718055555555556, 2.669050925925926, 2.890625, 3.0259953703703704, 3.1371064814814815, 3.491388888888889, 3.964189814814815, 6.358171296296296, 6.361666666666666, 6.368356481481482, 6.968634259259259, 7.606157407407407, 7.796828703703704, 8.159328703703704, 8.160023148148149, 8.451458333333333, 9.519282407407408, 9.916273148148148, 10.028773148148149, 10.498680555555556, 11.460023148148148, 12.752893518518519, 13.063217592592592, 13.250763888888889, 13.25724537037037, 13.28025462962963, 13.28386574074074, 13.768356481481481, 15.11488425925926, 17.161342592592593, 17.563842592592593, 17.894050925925924, 17.952384259259258, 19.19127314814815, 19.38675925925926, 20.232222222222223, 20.531203703703703, 22.425532407407406, 23.21974537037037, 23.641805555555557, 23.714537037037037 ], "time_since_last_event": [ 0.0, 0.1857175925925926, 0.5486111111111112, 0.0920138888888889, 0.6378472222222222, 0.3609953703703704, 0.21268518518518517, 0.4339351851851852, 0.19724537037037038, 0.22157407407407406, 0.13537037037037036, 0.1111111111111111, 0.3542824074074074, 0.47280092592592593, 2.3939814814814815, 0.0034953703703703705, 0.006689814814814815, 0.6002777777777778, 0.6375231481481481, 0.19067129629629628, 0.3625, 0.0006944444444444445, 0.2914351851851852, 1.067824074074074, 0.39699074074074076, 0.1125, 0.4699074074074074, 0.9613425925925926, 1.2928703703703703, 0.3103240740740741, 0.1875462962962963, 0.006481481481481481, 0.02300925925925926, 0.003611111111111111, 0.4844907407407407, 1.3465277777777778, 2.0464583333333333, 0.4025, 0.3302083333333333, 0.058333333333333334, 1.238888888888889, 0.1954861111111111, 0.845462962962963, 0.29898148148148146, 1.8943287037037038, 0.794212962962963, 0.4220601851851852, 0.07273148148148148 ], "type_event": [ 9, 0, 7, 10, 7, 9, 7, 11, 8, 16, 11, 0, 9, 0, 7, 9, 6, 8, 4, 9, 4, 0, 0, 7, 6, 4, 7, 4, 9, 1, 1, 4, 6, 9, 4, 3, 7, 7, 0, 7, 8, 5, 9, 0, 6, 6, 4, 9 ], "type_text": [ "Assault", "Theft", "Battery", "Burglary", "Battery", "Assault", "Battery", "Robbery", "Other Offense", "Narcotics", "Robbery", "Theft", "Assault", "Theft", "Battery", "Assault", "Criminal Damage", "Other Offense", "Motor Vehicle Theft", "Assault", "Motor Vehicle Theft", "Theft", "Theft", "Battery", "Criminal Damage", "Motor Vehicle Theft", "Battery", "Motor Vehicle Theft", "Assault", "Weapons Violation", "Weapons Violation", "Motor Vehicle Theft", "Criminal Damage", "Assault", "Motor Vehicle Theft", "Deceptive Practice", "Battery", "Battery", "Theft", "Battery", "Other Offense", "Criminal Trespass", "Assault", "Theft", "Criminal Damage", "Criminal Damage", "Motor Vehicle Theft", "Assault" ], "description": "The sequence of crime incidents in Chicago shows a varied pattern of offenses over time, with certain types of crimes appearing more frequently at different intervals. Assaults and thefts are notably present in the earlier months, while battery incidents appear consistently throughout the timeline. There is a noticeable increase in motor vehicle thefts and criminal damage incidents in the later months. Additionally, there are clusters of other offenses and weapons violations occurring in the mid to late sequence, indicating a shift in the types of crimes reported as time progresses." }, { "dim_process": 20, "seq_idx": 32, "seq_len": 33, "time_since_start": [ 0.0, 0.23483796296296297, 0.5425925925925926, 0.9505324074074074, 1.9702546296296297, 4.8810416666666665, 5.768865740740741, 5.909675925925926, 6.557754629629629, 7.5181712962962965, 9.00335648148148, 9.366087962962963, 10.336921296296296, 10.664699074074074, 10.700925925925926, 10.773032407407408, 10.790046296296296, 11.550115740740742, 12.508796296296296, 13.53425925925926, 14.748032407407408, 14.965810185185186, 16.262962962962963, 17.082060185185185, 17.08414351851852, 19.014699074074073, 19.858101851851853, 19.875810185185184, 20.823726851851852, 21.070231481481482, 21.29699074074074, 22.673726851851853, 23.167893518518518 ], "time_since_last_event": [ 0.0, 0.23483796296296297, 0.30775462962962963, 0.40793981481481484, 1.0197222222222222, 2.910787037037037, 0.887824074074074, 0.14081018518518518, 0.6480787037037037, 0.9604166666666667, 1.4851851851851852, 0.3627314814814815, 0.9708333333333333, 0.3277777777777778, 0.03622685185185185, 0.07210648148148148, 0.017013888888888887, 0.7600694444444445, 0.9586805555555555, 1.025462962962963, 1.2137731481481482, 0.21777777777777776, 1.2971527777777778, 0.8190972222222223, 0.0020833333333333333, 1.9305555555555556, 0.8434027777777777, 0.017708333333333333, 0.9479166666666666, 0.24650462962962963, 0.22675925925925927, 1.3767361111111112, 0.49416666666666664 ], "type_event": [ 0, 0, 9, 3, 8, 9, 9, 8, 11, 9, 7, 8, 3, 3, 7, 3, 0, 7, 4, 3, 0, 8, 6, 0, 7, 3, 0, 9, 16, 16, 0, 7, 3 ], "type_text": [ "Theft", "Theft", "Assault", "Deceptive Practice", "Other Offense", "Assault", "Assault", "Other Offense", "Robbery", "Assault", "Battery", "Other Offense", "Deceptive Practice", "Deceptive Practice", "Battery", "Deceptive Practice", "Theft", "Battery", "Motor Vehicle Theft", "Deceptive Practice", "Theft", "Other Offense", "Criminal Damage", "Theft", "Battery", "Deceptive Practice", "Theft", "Assault", "Narcotics", "Narcotics", "Theft", "Battery", "Deceptive Practice" ], "description": "The sequence of crime incidents shows a variety of crime types occurring over time, with theft and assault appearing prominently in the earlier months. Deceptive practices are frequently reported, particularly clustered around the later months, while assaults appear both early and later in the sequence. Battery incidents also emerge in the latter part of the timeline, alongside a few occurrences of narcotics offenses. Overall, there is a noticeable increase in the diversity of crime types as time progresses, with certain types like theft and assault appearing consistently throughout the sequence." }, { "dim_process": 20, "seq_idx": 33, "seq_len": 58, "time_since_start": [ 0.0, 0.21666666666666667, 0.6916666666666667, 0.9099074074074074, 0.9499768518518519, 1.2358796296296297, 1.45, 1.6180555555555556, 1.6188425925925927, 2.307638888888889, 2.4194444444444443, 2.436111111111111, 2.946875, 3.4770833333333333, 3.6493055555555554, 3.8208333333333333, 4.1305555555555555, 4.4277546296296295, 4.477083333333334, 4.663263888888889, 5.263888888888889, 5.702083333333333, 5.7246296296296295, 6.320833333333334, 6.845833333333333, 7.035416666666666, 7.429166666666666, 8.24537037037037, 8.25625, 9.348865740740742, 10.392662037037036, 10.921805555555556, 11.298726851851852, 12.178125, 12.17951388888889, 12.397916666666667, 14.031944444444445, 14.130555555555556, 14.177430555555556, 14.554166666666667, 14.798148148148147, 15.425, 15.526273148148148, 15.565277777777778, 16.264166666666668, 16.594444444444445, 16.915208333333332, 17.1, 17.14351851851852, 17.459328703703704, 17.495833333333334, 17.845833333333335, 18.779166666666665, 19.831921296296297, 19.868402777777778, 20.07673611111111, 20.565046296296295, 21.31597222222222 ], "time_since_last_event": [ 0.0, 0.21666666666666667, 0.475, 0.21824074074074074, 0.04006944444444444, 0.2859027777777778, 0.21412037037037038, 0.16805555555555557, 0.000787037037037037, 0.6887962962962964, 0.11180555555555556, 0.016666666666666666, 0.5107638888888889, 0.5302083333333333, 0.17222222222222222, 0.17152777777777778, 0.30972222222222223, 0.2971990740740741, 0.0493287037037037, 0.18618055555555554, 0.600625, 0.43819444444444444, 0.022546296296296297, 0.5962037037037037, 0.525, 0.18958333333333333, 0.39375, 0.8162037037037037, 0.01087962962962963, 1.0926157407407406, 1.0437962962962963, 0.5291435185185185, 0.3769212962962963, 0.8793981481481481, 0.001388888888888889, 0.21840277777777778, 1.6340277777777779, 0.09861111111111111, 0.046875, 0.3767361111111111, 0.2439814814814815, 0.6268518518518519, 0.10127314814814815, 0.03900462962962963, 0.6988888888888889, 0.3302777777777778, 0.3207638888888889, 0.18479166666666666, 0.04351851851851852, 0.31581018518518517, 0.03650462962962963, 0.35, 0.9333333333333333, 1.0527546296296297, 0.03648148148148148, 0.20833333333333334, 0.4883101851851852, 0.7509259259259259 ], "type_event": [ 5, 7, 0, 10, 6, 0, 0, 0, 6, 9, 6, 6, 8, 6, 7, 0, 0, 1, 4, 7, 4, 6, 6, 3, 9, 6, 0, 10, 4, 8, 7, 7, 6, 7, 9, 6, 0, 4, 7, 3, 4, 0, 4, 10, 7, 4, 3, 6, 6, 4, 0, 2, 8, 9, 4, 7, 12, 7 ], "type_text": [ "Criminal Trespass", "Battery", "Theft", "Burglary", "Criminal Damage", "Theft", "Theft", "Theft", "Criminal Damage", "Assault", "Criminal Damage", "Criminal Damage", "Other Offense", "Criminal Damage", "Battery", "Theft", "Theft", "Weapons Violation", "Motor Vehicle Theft", "Battery", "Motor Vehicle Theft", "Criminal Damage", "Criminal Damage", "Deceptive Practice", "Assault", "Criminal Damage", "Theft", "Burglary", "Motor Vehicle Theft", "Other Offense", "Battery", "Battery", "Criminal Damage", "Battery", "Assault", "Criminal Damage", "Theft", "Motor Vehicle Theft", "Battery", "Deceptive Practice", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Burglary", "Battery", "Motor Vehicle Theft", "Deceptive Practice", "Criminal Damage", "Criminal Damage", "Motor Vehicle Theft", "Theft", "Sex Offense", "Other Offense", "Assault", "Motor Vehicle Theft", "Battery", "Arson", "Battery" ], "description": "The sequence of crime incidents shows a diverse range of offenses occurring over time, with notable clustering of specific crime types. Initially, there is a mix of criminal trespass, battery, and theft, with theft incidents becoming more frequent in the early months. Criminal damage appears multiple times, particularly in the middle of the sequence, alongside a rise in battery and motor vehicle theft as the timeline progresses. Towards the end of the sequence, there is a noticeable increase in motor vehicle theft and assaults, alongside the re-emergence of other offenses, indicating a varied pattern of criminal activity with certain types becoming more prevalent in later months." }, { "dim_process": 20, "seq_idx": 34, "seq_len": 81, "time_since_start": [ 0.0, 0.16425925925925927, 0.8614814814814815, 1.1128703703703704, 1.8962037037037036, 4.440648148148148, 4.767037037037037, 4.801064814814815, 4.964953703703704, 5.455925925925926, 6.048287037037037, 6.3281481481481485, 6.3281481481481485, 6.329537037037037, 6.333703703703704, 6.354537037037037, 6.797939814814815, 6.963564814814815, 7.356967592592593, 7.490648148148148, 7.557731481481482, 8.522592592592593, 8.883703703703704, 8.926296296296297, 8.97398148148148, 9.121203703703705, 9.18925925925926, 9.27789351851852, 9.365648148148148, 9.577685185185185, 9.578148148148149, 9.826759259259259, 9.826759259259259, 9.827453703703704, 10.016689814814814, 10.285787037037037, 10.955925925925927, 11.043888888888889, 11.280925925925926, 11.42898148148148, 11.945115740740741, 12.126412037037037, 12.41287037037037, 12.68173611111111, 13.357314814814815, 13.512175925925925, 13.788518518518519, 14.237268518518519, 14.425833333333333, 14.461828703703704, 14.62675925925926, 14.662708333333333, 16.160092592592594, 16.405925925925924, 17.021898148148146, 17.342314814814817, 17.42328703703704, 17.43925925925926, 18.155231481481483, 18.205925925925925, 18.233703703703704, 18.291342592592592, 18.291458333333335, 18.370509259259258, 18.38712962962963, 18.599212962962962, 18.94462962962963, 19.353842592592592, 19.42502314814815, 20.322592592592592, 21.27259259259259, 22.20337962962963, 22.339259259259258, 22.528287037037035, 22.858310185185186, 23.15800925925926, 23.191342592592594, 23.29689814814815, 23.322592592592592, 23.76425925925926, 24.070208333333333 ], "time_since_last_event": [ 0.0, 0.16425925925925927, 0.6972222222222222, 0.2513888888888889, 0.7833333333333333, 2.5444444444444443, 0.3263888888888889, 0.034027777777777775, 0.1638888888888889, 0.4909722222222222, 0.5923611111111111, 0.2798611111111111, 0.0, 0.001388888888888889, 0.004166666666666667, 0.020833333333333332, 0.44340277777777776, 0.165625, 0.39340277777777777, 0.13368055555555555, 0.06708333333333333, 0.9648611111111111, 0.3611111111111111, 0.04259259259259259, 0.047685185185185185, 0.14722222222222223, 0.06805555555555555, 0.08863425925925926, 0.08775462962962963, 0.21203703703703702, 0.000462962962962963, 0.24861111111111112, 0.0, 0.0006944444444444445, 0.1892361111111111, 0.2690972222222222, 0.6701388888888888, 0.08796296296296297, 0.23703703703703705, 0.14805555555555555, 0.5161342592592593, 0.1812962962962963, 0.2864583333333333, 0.26886574074074077, 0.6755787037037037, 0.15486111111111112, 0.2763425925925926, 0.44875, 0.18856481481481482, 0.03599537037037037, 0.16493055555555555, 0.03594907407407407, 1.4973842592592592, 0.24583333333333332, 0.6159722222222223, 0.3204166666666667, 0.08097222222222222, 0.01597222222222222, 0.7159722222222222, 0.050694444444444445, 0.027777777777777776, 0.05763888888888889, 0.00011574074074074075, 0.07905092592592593, 0.01662037037037037, 0.21208333333333335, 0.34541666666666665, 0.40921296296296295, 0.07118055555555555, 0.8975694444444444, 0.95, 0.930787037037037, 0.13587962962962963, 0.18902777777777777, 0.33002314814814815, 0.2996990740740741, 0.03333333333333333, 0.10555555555555556, 0.025694444444444443, 0.44166666666666665, 0.30594907407407407 ], "type_event": [ 8, 3, 4, 3, 3, 7, 7, 7, 14, 4, 0, 0, 6, 6, 6, 6, 0, 0, 0, 0, 0, 3, 4, 4, 4, 4, 7, 4, 0, 6, 7, 3, 0, 0, 4, 8, 0, 4, 0, 7, 13, 0, 7, 7, 0, 7, 9, 10, 7, 4, 3, 8, 0, 3, 0, 9, 7, 3, 0, 3, 14, 7, 9, 0, 11, 0, 4, 14, 0, 13, 5, 7, 0, 3, 0, 3, 9, 0, 3, 4, 7 ], "type_text": [ "Other Offense", "Deceptive Practice", "Motor Vehicle Theft", "Deceptive Practice", "Deceptive Practice", "Battery", "Battery", "Battery", "Criminal Sexual Assault", "Motor Vehicle Theft", "Theft", "Theft", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Theft", "Theft", "Theft", "Theft", "Theft", "Deceptive Practice", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Battery", "Motor Vehicle Theft", "Theft", "Criminal Damage", "Battery", "Deceptive Practice", "Theft", "Theft", "Motor Vehicle Theft", "Other Offense", "Theft", "Motor Vehicle Theft", "Theft", "Battery", "Offense Involving Children", "Theft", "Battery", "Battery", "Theft", "Battery", "Assault", "Burglary", "Battery", "Motor Vehicle Theft", "Deceptive Practice", "Other Offense", "Theft", "Deceptive Practice", "Theft", "Assault", "Battery", "Deceptive Practice", "Theft", "Deceptive Practice", "Criminal Sexual Assault", "Battery", "Assault", "Theft", "Robbery", "Theft", "Motor Vehicle Theft", "Criminal Sexual Assault", "Theft", "Offense Involving Children", "Criminal Trespass", "Battery", "Theft", "Deceptive Practice", "Theft", "Deceptive Practice", "Assault", "Theft", "Deceptive Practice", "Motor Vehicle Theft", "Battery" ], "description": "The sequence of crime incidents in Chicago shows a variety of offenses occurring over time, with notable clustering of certain crime types. Initially, Other Offenses and Deceptive Practices are reported, followed by a rise in Motor Vehicle Thefts and Batteries around the four-month mark. A significant increase in Theft incidents is observed starting around six months, continuing to dominate the sequence through the following months. Deceptive Practices re-emerge periodically, particularly around the eight to ten-month range, while Criminal Damage appears clustered around six months. The sequence concludes with a mix of offenses, including several Batteries and Thefts, indicating a sustained pattern of criminal activity over the observed period." }, { "dim_process": 20, "seq_idx": 35, "seq_len": 83, "time_since_start": [ 0.0, 0.40858796296296296, 0.6395833333333333, 1.176388888888889, 1.475462962962963, 1.5503472222222223, 2.463888888888889, 2.790277777777778, 3.1647685185185184, 4.463888888888889, 4.627777777777778, 4.658333333333333, 5.046990740740741, 5.051388888888889, 5.276736111111111, 5.644328703703704, 5.863888888888889, 5.876620370370371, 6.056712962962963, 6.058333333333334, 6.163888888888889, 6.286111111111111, 6.305555555555555, 6.363425925925926, 6.409722222222222, 6.588888888888889, 6.625, 6.6655092592592595, 7.186805555555556, 7.438888888888889, 7.671712962962963, 7.918981481481482, 8.19375, 8.379166666666666, 8.463888888888889, 8.751388888888888, 8.952777777777778, 9.056018518518519, 9.594444444444445, 9.722222222222221, 10.10138888888889, 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0.37449074074074074, 1.2991203703703704, 0.1638888888888889, 0.030555555555555555, 0.3886574074074074, 0.004398148148148148, 0.22534722222222223, 0.3675925925925926, 0.2195601851851852, 0.01273148148148148, 0.18009259259259258, 0.0016203703703703703, 0.10555555555555556, 0.12222222222222222, 0.019444444444444445, 0.05787037037037037, 0.046296296296296294, 0.17916666666666667, 0.03611111111111111, 0.04050925925925926, 0.5212962962962963, 0.2520833333333333, 0.23282407407407407, 0.24726851851851853, 0.2747685185185185, 0.18541666666666667, 0.08472222222222223, 0.2875, 0.2013888888888889, 0.10324074074074074, 0.538425925925926, 0.12777777777777777, 0.37916666666666665, 0.6777777777777778, 0.2625, 1.276851851851852, 0.30648148148148147, 0.05189814814814815, 0.6096990740740741, 0.23701388888888889, 0.015185185185185185, 0.44592592592592595, 0.04259259259259259, 1.061574074074074, 0.10833333333333334, 0.15, 0.46875, 0.3451388888888889, 0.10486111111111111, 0.39125, 0.8511111111111112, 0.020833333333333332, 0.31666666666666665, 0.04027777777777778, 0.03680555555555556, 0.007638888888888889, 0.06388888888888888, 0.1111111111111111, 0.021527777777777778, 0.18680555555555556, 0.03888888888888889, 0.7583333333333333, 0.33090277777777777, 0.24409722222222222, 0.30243055555555554, 0.3434027777777778, 0.45319444444444446, 0.16208333333333333, 0.26796296296296296, 0.06458333333333334, 0.10634259259259259, 0.19930555555555557, 0.7277777777777777, 0.08115740740740741, 0.0 ], "type_event": [ 2, 8, 9, 4, 6, 3, 3, 5, 6, 0, 4, 5, 4, 4, 10, 7, 10, 8, 8, 9, 3, 6, 0, 6, 3, 0, 0, 0, 4, 7, 7, 7, 0, 0, 3, 0, 4, 6, 0, 0, 6, 0, 3, 4, 6, 1, 0, 10, 10, 6, 7, 6, 3, 8, 9, 4, 0, 7, 3, 0, 3, 4, 4, 6, 4, 0, 6, 3, 0, 3, 13, 0, 7, 7, 11, 6, 8, 3, 4, 6, 4, 7, 11 ], "type_text": [ "Sex Offense", "Other Offense", "Assault", "Motor Vehicle Theft", "Criminal Damage", "Deceptive Practice", "Deceptive Practice", "Criminal Trespass", "Criminal Damage", "Theft", "Motor Vehicle Theft", "Criminal Trespass", "Motor Vehicle Theft", "Motor Vehicle Theft", "Burglary", "Battery", "Burglary", "Other Offense", "Other Offense", "Assault", "Deceptive Practice", "Criminal Damage", "Theft", "Criminal Damage", "Deceptive Practice", "Theft", "Theft", "Theft", "Motor Vehicle Theft", "Battery", "Battery", "Battery", "Theft", "Theft", "Deceptive Practice", "Theft", "Motor Vehicle Theft", "Criminal Damage", "Theft", "Theft", "Criminal Damage", "Theft", "Deceptive Practice", "Motor Vehicle Theft", "Criminal Damage", "Weapons Violation", "Theft", "Burglary", "Burglary", "Criminal Damage", "Battery", "Criminal Damage", "Deceptive Practice", "Other Offense", "Assault", "Motor Vehicle Theft", "Theft", "Battery", "Deceptive Practice", "Theft", "Deceptive Practice", "Motor Vehicle Theft", "Motor Vehicle Theft", "Criminal Damage", "Motor Vehicle Theft", "Theft", "Criminal Damage", "Deceptive Practice", "Theft", "Deceptive Practice", "Offense Involving Children", "Theft", "Battery", "Battery", "Robbery", "Criminal Damage", "Other Offense", "Deceptive Practice", "Motor Vehicle Theft", "Criminal Damage", "Motor Vehicle Theft", "Battery", "Robbery" ], "description": "The sequence of crime incidents shows a variety of offenses occurring over time, with notable clustering of certain crime types. Initially, incidents such as sex offenses and assaults appear early in the timeline, while thefts and motor vehicle thefts become more prevalent in the later months. Deceptive practices and criminal damage incidents are consistently reported throughout the timeline, with a significant increase in thefts occurring around the mid-point and continuing to rise towards the end. Additionally, battery incidents cluster in the later months, alongside repeated occurrences of motor vehicle thefts." }, { "dim_process": 20, "seq_idx": 36, "seq_len": 47, "time_since_start": [ 0.0, 1.3713657407407407, 1.5902777777777777, 1.8494212962962964, 2.004166666666667, 2.1016898148148146, 2.3833333333333333, 2.5118055555555556, 2.7777777777777777, 3.084837962962963, 3.2, 6.590277777777778, 7.460763888888889, 7.833333333333333, 7.8875, 8.259930555555556, 8.764583333333333, 9.018055555555556, 9.018703703703704, 9.204375, 9.263425925925926, 9.82638888888889, 10.851759259259259, 11.633333333333333, 11.923078703703704, 12.13263888888889, 13.482060185185185, 14.66087962962963, 14.737152777777778, 14.892407407407408, 16.84053240740741, 17.780555555555555, 17.899074074074075, 17.933356481481482, 17.934421296296296, 18.413888888888888, 18.583333333333332, 20.061805555555555, 20.50115740740741, 21.24837962962963, 21.47222222222222, 21.683333333333334, 22.364421296296296, 22.45, 23.477777777777778, 23.538425925925925, 24.00671296296296 ], "time_since_last_event": [ 0.0, 1.3713657407407407, 0.21891203703703704, 0.2591435185185185, 0.15474537037037037, 0.09752314814814815, 0.28164351851851854, 0.1284722222222222, 0.2659722222222222, 0.3070601851851852, 0.11516203703703703, 3.390277777777778, 0.8704861111111111, 0.37256944444444445, 0.05416666666666667, 0.37243055555555554, 0.5046527777777777, 0.2534722222222222, 0.0006481481481481481, 0.1856712962962963, 0.05905092592592592, 0.562962962962963, 1.0253703703703703, 0.7815740740740741, 0.28974537037037035, 0.20956018518518518, 1.3494212962962964, 1.1788194444444444, 0.07627314814814815, 0.15525462962962963, 1.948125, 0.9400231481481481, 0.11851851851851852, 0.03428240740740741, 0.0010648148148148149, 0.4794675925925926, 0.16944444444444445, 1.4784722222222222, 0.4393518518518518, 0.7472222222222222, 0.2238425925925926, 0.2111111111111111, 0.6810879629629629, 0.0855787037037037, 1.0277777777777777, 0.060648148148148145, 0.46828703703703706 ], "type_event": [ 3, 7, 0, 5, 7, 1, 0, 7, 8, 3, 3, 0, 7, 4, 5, 0, 8, 6, 5, 7, 8, 6, 0, 3, 7, 7, 3, 7, 9, 16, 7, 8, 7, 8, 7, 0, 3, 10, 6, 7, 7, 8, 9, 0, 3, 7, 7 ], "type_text": [ "Deceptive Practice", "Battery", "Theft", "Criminal Trespass", "Battery", "Weapons Violation", "Theft", "Battery", "Other Offense", "Deceptive Practice", "Deceptive Practice", "Theft", "Battery", "Motor Vehicle Theft", "Criminal Trespass", "Theft", "Other Offense", "Criminal Damage", "Criminal Trespass", "Battery", "Other Offense", "Criminal Damage", "Theft", "Deceptive Practice", "Battery", "Battery", "Deceptive Practice", "Battery", "Assault", "Narcotics", "Battery", "Other Offense", "Battery", "Other Offense", "Battery", "Theft", "Deceptive Practice", "Burglary", "Criminal Damage", "Battery", "Battery", "Other Offense", "Assault", "Theft", "Deceptive Practice", "Battery", "Battery" ], "description": "The sequence of crime incidents shows a varied pattern of offenses occurring over time. Initially, incidents such as Deceptive Practices and Battery appear relatively early, with a notable increase in Theft and Battery incidents around the 2 to 3-month mark. As time progresses, there is a clustering of Battery and Theft incidents, particularly between 7 and 22 months, alongside a consistent presence of Deceptive Practices. Other offenses, including Criminal Trespass and Criminal Damage, also appear intermittently throughout the timeline, with a notable spike in Battery incidents towards the end of the sequence. Overall, Battery and Theft are the most frequently reported offenses, with Deceptive Practices appearing at various intervals." }, { "dim_process": 20, "seq_idx": 37, "seq_len": 72, "time_since_start": [ 0.0, 0.21388888888888888, 1.1681481481481482, 1.2812037037037036, 1.867361111111111, 2.7268055555555555, 2.910416666666667, 4.069444444444445, 4.36662037037037, 4.405300925925926, 5.108564814814815, 5.5652083333333335, 6.210810185185185, 6.483333333333333, 6.542361111111111, 6.6722222222222225, 6.683333333333334, 6.711805555555555, 7.423611111111111, 7.508333333333334, 7.889236111111111, 7.998611111111111, 8.072060185185185, 9.285462962962963, 9.829166666666667, 9.910185185185185, 10.436458333333333, 10.761921296296297, 11.116666666666667, 11.17361111111111, 11.310069444444444, 11.311111111111112, 11.561111111111112, 11.892430555555556, 12.016319444444445, 12.160185185185185, 12.347916666666666, 12.372222222222222, 13.18587962962963, 13.37861111111111, 14.004166666666666, 14.643888888888888, 15.174305555555556, 15.38175925925926, 15.891666666666667, 15.99912037037037, 16.31111111111111, 16.443935185185186, 16.844583333333333, 17.376689814814814, 17.383564814814815, 17.442847222222223, 17.54398148148148, 17.71789351851852, 17.828125, 18.131944444444443, 18.868055555555557, 18.880532407407408, 19.032962962962962, 19.233726851851852, 19.31337962962963, 19.372916666666665, 19.528472222222224, 19.528541666666666, 20.0625, 20.145833333333332, 20.20486111111111, 20.341898148148147, 20.594212962962963, 21.37152777777778, 22.496388888888887, 23.13125 ], "time_since_last_event": [ 0.0, 0.21388888888888888, 0.9542592592592593, 0.11305555555555556, 0.5861574074074074, 0.8594444444444445, 0.1836111111111111, 1.1590277777777778, 0.2971759259259259, 0.03868055555555556, 0.7032638888888889, 0.45664351851851853, 0.6456018518518518, 0.27252314814814815, 0.059027777777777776, 0.12986111111111112, 0.011111111111111112, 0.02847222222222222, 0.7118055555555556, 0.08472222222222223, 0.38090277777777776, 0.109375, 0.07344907407407407, 1.2134027777777778, 0.5437037037037037, 0.08101851851851852, 0.5262731481481482, 0.32546296296296295, 0.35474537037037035, 0.05694444444444444, 0.13645833333333332, 0.0010416666666666667, 0.25, 0.33131944444444444, 0.1238888888888889, 0.14386574074074074, 0.18773148148148147, 0.024305555555555556, 0.8136574074074074, 0.19273148148148148, 0.6255555555555555, 0.6397222222222222, 0.5304166666666666, 0.2074537037037037, 0.5099074074074074, 0.1074537037037037, 0.31199074074074074, 0.13282407407407407, 0.40064814814814814, 0.5321064814814814, 0.006875, 0.05928240740740741, 0.10113425925925926, 0.17391203703703703, 0.11023148148148149, 0.3038194444444444, 0.7361111111111112, 0.012476851851851852, 0.15243055555555557, 0.20076388888888888, 0.07965277777777778, 0.059537037037037034, 0.15555555555555556, 6.944444444444444e-05, 0.5339583333333333, 0.08333333333333333, 0.059027777777777776, 0.13703703703703704, 0.2523148148148148, 0.7773148148148148, 1.124861111111111, 0.6348611111111111 ], "type_event": [ 3, 0, 16, 7, 7, 7, 0, 3, 1, 16, 7, 16, 6, 0, 7, 7, 7, 0, 7, 0, 7, 4, 1, 9, 7, 16, 6, 7, 13, 6, 1, 4, 7, 6, 11, 7, 7, 9, 7, 7, 7, 11, 0, 7, 4, 16, 7, 16, 0, 16, 6, 16, 7, 7, 5, 4, 7, 16, 16, 5, 7, 0, 0, 6, 0, 0, 0, 7, 0, 0, 16, 6 ], "type_text": [ "Deceptive Practice", "Theft", "Narcotics", "Battery", "Battery", "Battery", "Theft", "Deceptive Practice", "Weapons Violation", "Narcotics", "Battery", "Narcotics", "Criminal Damage", "Theft", "Battery", "Battery", "Battery", "Theft", "Battery", "Theft", "Battery", "Motor Vehicle Theft", "Weapons Violation", "Assault", "Battery", "Narcotics", "Criminal Damage", "Battery", "Offense Involving Children", "Criminal Damage", "Weapons Violation", "Motor Vehicle Theft", "Battery", "Criminal Damage", "Robbery", "Battery", "Battery", "Assault", "Battery", "Battery", "Battery", "Robbery", "Theft", "Battery", "Motor Vehicle Theft", "Narcotics", "Battery", "Narcotics", "Theft", "Narcotics", "Criminal Damage", "Narcotics", "Battery", "Battery", "Criminal Trespass", "Motor Vehicle Theft", "Battery", "Narcotics", "Narcotics", "Criminal Trespass", "Battery", "Theft", "Theft", "Criminal Damage", "Theft", "Theft", "Theft", "Battery", "Theft", "Theft", "Narcotics", "Criminal Damage" ], "description": "The sequence of crime incidents shows a variety of crime types occurring over time, with a notable clustering of certain events. Initially, deceptive practices and thefts appear early in the timeline, followed by a significant number of battery incidents that peak around the 6 to 14-month mark. Narcotics offenses are also prevalent, appearing intermittently throughout the sequence, particularly in the later months. Criminal damage incidents increase towards the latter part of the timeline, while thefts become more frequent towards the end, indicating a trend of escalating theft activity. Overall, there is a consistent presence of battery incidents, with other crime types appearing in clusters at various points." }, { "dim_process": 20, "seq_idx": 38, "seq_len": 42, "time_since_start": [ 0.0, 1.054513888888889, 1.8150925925925927, 2.9093055555555556, 3.701736111111111, 4.1038194444444445, 4.264652777777778, 4.433449074074074, 6.557638888888889, 6.683564814814815, 6.815949074074074, 7.6218055555555555, 7.690625, 7.88787037037037, 8.947569444444444, 8.954513888888888, 9.097152777777778, 9.568101851851852, 10.154166666666667, 13.921875, 13.93738425925926, 14.973680555555555, 15.121180555555556, 15.50488425925926, 15.58576388888889, 15.590509259259258, 15.719699074074073, 16.518402777777776, 16.785578703703703, 17.11365740740741, 17.71122685185185, 17.887847222222224, 18.389583333333334, 18.524074074074075, 18.560208333333332, 19.314583333333335, 19.51851851851852, 19.570486111111112, 20.223958333333332, 20.613541666666666, 20.669791666666665, 20.950347222222224 ], "time_since_last_event": [ 0.0, 1.054513888888889, 0.7605787037037037, 1.0942129629629629, 0.7924305555555555, 0.40208333333333335, 0.16083333333333333, 0.1687962962962963, 2.1241898148148146, 0.1259259259259259, 0.13238425925925926, 0.8058564814814815, 0.06881944444444445, 0.19724537037037038, 1.0596990740740742, 0.006944444444444444, 0.1426388888888889, 0.47094907407407405, 0.5860648148148148, 3.767708333333333, 0.015509259259259259, 1.0362962962962963, 0.1475, 0.3837037037037037, 0.08087962962962963, 0.00474537037037037, 0.1291898148148148, 0.7987037037037037, 0.26717592592592593, 0.3280787037037037, 0.5975694444444445, 0.17662037037037037, 0.5017361111111112, 0.13449074074074074, 0.03613425925925926, 0.754375, 0.2039351851851852, 0.05196759259259259, 0.6534722222222222, 0.38958333333333334, 0.05625, 0.28055555555555556 ], "type_event": [ 4, 11, 4, 3, 5, 6, 8, 0, 0, 7, 1, 1, 0, 3, 6, 7, 4, 0, 4, 7, 3, 8, 0, 0, 4, 7, 5, 0, 7, 0, 4, 4, 4, 0, 11, 1, 0, 18, 7, 10, 10, 16 ], "type_text": [ "Motor Vehicle Theft", "Robbery", "Motor Vehicle Theft", "Deceptive Practice", "Criminal Trespass", "Criminal Damage", "Other Offense", "Theft", "Theft", "Battery", "Weapons Violation", "Weapons Violation", "Theft", "Deceptive Practice", "Criminal Damage", "Battery", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Battery", "Deceptive Practice", "Other Offense", "Theft", "Theft", "Motor Vehicle Theft", "Battery", "Criminal Trespass", "Theft", "Battery", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Theft", "Robbery", "Weapons Violation", "Theft", "Public Peace Violation", "Battery", "Burglary", "Burglary", "Narcotics" ], "description": "The sequence of crime incidents shows a pattern where Motor Vehicle Theft occurs frequently, particularly clustered in the early and later months of the timeline. Robbery and Deceptive Practice incidents appear relatively early, while Theft incidents become more prevalent in the mid to later stages. Weapons Violations and Battery incidents also appear multiple times, particularly in the later months. Overall, there is a noticeable increase in the variety and frequency of offenses as time progresses, with certain crime types, such as Theft and Battery, clustering in the latter part of the sequence." }, { "dim_process": 20, "seq_idx": 39, "seq_len": 62, "time_since_start": [ 0.0, 0.08166666666666667, 1.2169675925925927, 1.6534259259259259, 1.7259953703703703, 2.586412037037037, 2.750185185185185, 2.812800925925926, 2.825300925925926, 2.850300925925926, 3.722986111111111, 3.756435185185185, 4.7568981481481485, 5.8187037037037035, 6.031550925925926, 6.337800925925926, 6.421134259259259, 6.818356481481482, 7.215578703703704, 8.336064814814815, 9.115856481481481, 9.389189814814815, 9.424606481481481, 10.119212962962964, 10.284328703703704, 10.29613425925926, 11.298912037037036, 11.32599537037037, 11.451064814814815, 12.123217592592592, 12.401944444444444, 12.620092592592593, 12.623217592592592, 13.302152777777778, 13.350648148148148, 13.587222222222222, 13.587453703703703, 14.524953703703703, 14.689884259259259, 14.689884259259259, 15.300300925925926, 15.527037037037037, 15.86414351851852, 16.154467592592592, 16.372291666666666, 16.445787037037036, 16.687106481481482, 16.901689814814816, 17.720439814814814, 18.310300925925926, 18.687430555555554, 19.10446759259259, 19.934675925925927, 20.934560185185184, 21.061412037037037, 21.713125, 22.19638888888889, 22.21974537037037, 22.850300925925925, 23.121712962962963, 23.55849537037037, 23.826226851851853 ], "time_since_last_event": [ 0.0, 0.08166666666666667, 1.135300925925926, 0.43645833333333334, 0.07256944444444445, 0.8604166666666667, 0.16377314814814814, 0.06261574074074074, 0.0125, 0.025, 0.8726851851851852, 0.033449074074074076, 1.0004629629629629, 1.0618055555555554, 0.21284722222222222, 0.30625, 0.08333333333333333, 0.3972222222222222, 0.3972222222222222, 1.120486111111111, 0.7797916666666667, 0.2733333333333333, 0.035416666666666666, 0.6946064814814815, 0.16511574074074073, 0.011805555555555555, 1.0027777777777778, 0.027083333333333334, 0.12506944444444446, 0.6721527777777778, 0.27872685185185186, 0.21814814814814815, 0.003125, 0.6789351851851851, 0.04849537037037037, 0.23657407407407408, 0.0002314814814814815, 0.9375, 0.16493055555555555, 0.0, 0.6104166666666667, 0.2267361111111111, 0.3371064814814815, 0.29032407407407407, 0.2178240740740741, 0.07349537037037036, 0.24131944444444445, 0.21458333333333332, 0.81875, 0.5898611111111111, 0.37712962962962965, 0.41703703703703704, 0.8302083333333333, 0.9998842592592593, 0.12685185185185185, 0.651712962962963, 0.4832638888888889, 0.02335648148148148, 0.6305555555555555, 0.27141203703703703, 0.4367824074074074, 0.26773148148148146 ], "type_event": [ 19, 11, 7, 7, 2, 8, 1, 0, 4, 7, 7, 7, 3, 0, 6, 11, 5, 6, 0, 11, 16, 4, 7, 8, 8, 17, 4, 7, 4, 7, 16, 4, 7, 0, 7, 7, 13, 7, 7, 5, 7, 11, 9, 7, 11, 7, 7, 7, 4, 11, 11, 11, 2, 11, 7, 7, 8, 7, 8, 1, 16, 7 ], "type_text": [ "Homicide", "Robbery", "Battery", "Battery", "Sex Offense", "Other Offense", "Weapons Violation", "Theft", "Motor Vehicle Theft", "Battery", "Battery", "Battery", "Deceptive Practice", "Theft", "Criminal Damage", "Robbery", "Criminal Trespass", "Criminal Damage", "Theft", "Robbery", "Narcotics", "Motor Vehicle Theft", "Battery", "Other Offense", "Other Offense", "Stalking", "Motor Vehicle Theft", "Battery", "Motor Vehicle Theft", "Battery", "Narcotics", "Motor Vehicle Theft", "Battery", "Theft", "Battery", "Battery", "Offense Involving Children", "Battery", "Battery", "Criminal Trespass", "Battery", "Robbery", "Assault", "Battery", "Robbery", "Battery", "Battery", "Battery", "Motor Vehicle Theft", "Robbery", "Robbery", "Robbery", "Sex Offense", "Robbery", "Battery", "Battery", "Other Offense", "Battery", "Other Offense", "Weapons Violation", "Narcotics", "Battery" ], "description": "The sequence of crime incidents begins with a homicide and a robbery occurring within the first month, followed by a series of battery incidents clustered in the first year. As time progresses, various crime types emerge, including theft and motor vehicle theft, with multiple occurrences of robbery and battery noted throughout the timeline. Notably, there is a pattern of increased robbery incidents in the later months, alongside a consistent presence of battery offenses, while other offenses and narcotics-related incidents appear more sporadically. The sequence indicates a diverse range of crime types, with certain categories like robbery and battery recurring frequently as time advances." }, { "dim_process": 20, "seq_idx": 40, "seq_len": 36, "time_since_start": [ 0.0, 0.615462962962963, 2.323634259259259, 2.790277777777778, 3.776226851851852, 4.377268518518519, 4.813726851851852, 6.059212962962963, 8.264421296296296, 8.313032407407407, 9.042662037037037, 10.15048611111111, 13.316018518518518, 13.330787037037037, 13.349143518518519, 13.624027777777778, 14.957430555555556, 15.885949074074073, 16.14150462962963, 16.917199074074073, 17.28537037037037, 18.44636574074074, 19.123912037037037, 19.323449074074073, 19.61662037037037, 20.64664351851852, 20.752847222222222, 20.85511574074074, 21.086643518518517, 21.185787037037038, 21.915393518518517, 21.915578703703705, 22.263032407407408, 22.288032407407407, 22.34398148148148, 23.09777777777778 ], "time_since_last_event": [ 0.0, 0.615462962962963, 1.7081712962962963, 0.46664351851851854, 0.9859490740740741, 0.6010416666666667, 0.43645833333333334, 1.245486111111111, 2.205208333333333, 0.04861111111111111, 0.7296296296296296, 1.1078240740740741, 3.1655324074074076, 0.01476851851851852, 0.01835648148148148, 0.27488425925925924, 1.3334027777777777, 0.9285185185185185, 0.25555555555555554, 0.7756944444444445, 0.3681712962962963, 1.1609953703703704, 0.6775462962962963, 0.19953703703703704, 0.2931712962962963, 1.030023148148148, 0.1062037037037037, 0.10226851851851852, 0.23152777777777778, 0.09914351851851852, 0.7296064814814814, 0.00018518518518518518, 0.3474537037037037, 0.025, 0.055949074074074075, 0.7537962962962963 ], "type_event": [ 0, 7, 9, 0, 7, 6, 0, 0, 11, 7, 7, 7, 8, 1, 3, 18, 9, 7, 7, 9, 9, 9, 0, 11, 0, 7, 11, 9, 4, 8, 1, 16, 7, 7, 7, 6 ], "type_text": [ "Theft", "Battery", "Assault", "Theft", "Battery", "Criminal Damage", "Theft", "Theft", "Robbery", "Battery", "Battery", "Battery", "Other Offense", "Weapons Violation", "Deceptive Practice", "Public Peace Violation", "Assault", "Battery", "Battery", "Assault", "Assault", "Assault", "Theft", "Robbery", "Theft", "Battery", "Robbery", "Assault", "Motor Vehicle Theft", "Other Offense", "Weapons Violation", "Narcotics", "Battery", "Battery", "Battery", "Criminal Damage" ], "description": "The sequence of crime incidents shows a varied pattern over time, with certain types of crimes occurring in clusters. Initially, theft and battery incidents appear relatively early, followed by a mix of assault and theft in the subsequent months. As time progresses, there is a noticeable increase in battery incidents, particularly around the 10 to 22-month mark, along with a rise in other offenses such as robbery and weapons violations. The sequence concludes with a return to criminal damage incidents, indicating a diverse range of crime types throughout the timeline." }, { "dim_process": 20, "seq_idx": 41, "seq_len": 38, "time_since_start": [ 0.0, 1.4081481481481481, 1.6790046296296297, 2.368263888888889, 2.6343055555555557, 3.7057175925925927, 3.952685185185185, 5.056527777777778, 5.799791666666667, 5.849583333333333, 6.207916666666667, 6.359305555555555, 7.428055555555556, 8.72412037037037, 9.099537037037036, 10.019027777777778, 11.270833333333334, 12.30886574074074, 12.342638888888889, 13.682569444444445, 14.25548611111111, 14.288472222222222, 14.389976851851852, 15.704328703703704, 15.719328703703704, 17.148194444444446, 17.158819444444443, 17.167291666666667, 17.559421296296296, 17.74414351851852, 17.823888888888888, 18.370416666666667, 19.73986111111111, 20.614166666666666, 20.673194444444444, 20.722106481481482, 22.55097222222222, 22.967569444444443 ], "time_since_last_event": [ 0.0, 1.4081481481481481, 0.2708564814814815, 0.6892592592592592, 0.2660416666666667, 1.071412037037037, 0.2469675925925926, 1.1038425925925925, 0.7432638888888888, 0.049791666666666665, 0.35833333333333334, 0.15138888888888888, 1.06875, 1.2960648148148148, 0.3754166666666667, 0.9194907407407408, 1.2518055555555556, 1.0380324074074074, 0.03377314814814815, 1.3399305555555556, 0.5729166666666666, 0.03298611111111111, 0.10150462962962963, 1.3143518518518518, 0.015, 1.4288657407407408, 0.010625, 0.008472222222222223, 0.3921296296296296, 0.18472222222222223, 0.07974537037037037, 0.5465277777777777, 1.3694444444444445, 0.8743055555555556, 0.059027777777777776, 0.04891203703703704, 1.8288657407407407, 0.41659722222222223 ], "type_event": [ 7, 6, 16, 6, 7, 0, 9, 10, 8, 7, 0, 6, 6, 6, 6, 4, 9, 5, 9, 9, 6, 7, 6, 7, 7, 9, 9, 9, 7, 1, 9, 6, 3, 6, 3, 16, 6, 3 ], "type_text": [ "Battery", "Criminal Damage", "Narcotics", "Criminal Damage", "Battery", "Theft", "Assault", "Burglary", "Other Offense", "Battery", "Theft", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Motor Vehicle Theft", "Assault", "Criminal Trespass", "Assault", "Assault", "Criminal Damage", "Battery", "Criminal Damage", "Battery", "Battery", "Assault", "Assault", "Assault", "Battery", "Weapons Violation", "Assault", "Criminal Damage", "Deceptive Practice", "Criminal Damage", "Deceptive Practice", "Narcotics", "Criminal Damage", "Deceptive Practice" ], "description": "The sequence of crime incidents begins with battery and criminal damage occurring within the first few months, followed by a mix of narcotics and theft incidents. Over time, there is a noticeable cluster of criminal damage incidents, particularly between the 6th and 22nd month, with multiple occurrences in close succession. Assaults emerge later in the timeline, particularly around the 17th month, along with a variety of other offenses such as motor vehicle theft and deceptive practices. The frequency of battery incidents also appears to increase towards the latter part of the sequence, indicating a trend of escalating incidents as time progresses." }, { "dim_process": 20, "seq_idx": 42, "seq_len": 31, "time_since_start": [ 0.0, 0.07534722222222222, 1.0988194444444443, 1.2063657407407407, 1.270138888888889, 1.870486111111111, 3.1909722222222223, 3.513425925925926, 4.303819444444445, 5.332986111111111, 5.334375, 5.816319444444445, 6.210763888888889, 6.285763888888889, 7.296180555555556, 8.869444444444444, 9.370023148148148, 10.503125, 11.538541666666667, 11.696180555555555, 12.02724537037037, 12.11701388888889, 14.827638888888888, 15.027777777777779, 16.065625, 17.714282407407406, 18.232291666666665, 18.297569444444445, 19.349652777777777, 19.505069444444445, 19.542361111111113 ], "time_since_last_event": [ 0.0, 0.07534722222222222, 1.0234722222222221, 0.10754629629629629, 0.06377314814814815, 0.6003472222222223, 1.320486111111111, 0.3224537037037037, 0.7903935185185185, 1.0291666666666666, 0.001388888888888889, 0.48194444444444445, 0.39444444444444443, 0.075, 1.0104166666666667, 1.5732638888888888, 0.5005787037037037, 1.1331018518518519, 1.0354166666666667, 0.15763888888888888, 0.3310648148148148, 0.08976851851851853, 2.710625, 0.2001388888888889, 1.0378472222222221, 1.6486574074074074, 0.5180092592592592, 0.06527777777777778, 1.0520833333333333, 0.15541666666666668, 0.03729166666666667 ], "type_event": [ 4, 10, 3, 0, 0, 0, 9, 9, 0, 6, 6, 0, 10, 10, 0, 0, 7, 10, 0, 0, 18, 10, 8, 8, 6, 7, 6, 6, 11, 0, 11 ], "type_text": [ "Motor Vehicle Theft", "Burglary", "Deceptive Practice", "Theft", "Theft", "Theft", "Assault", "Assault", "Theft", "Criminal Damage", "Criminal Damage", "Theft", "Burglary", "Burglary", "Theft", "Theft", "Battery", "Burglary", "Theft", "Theft", "Public Peace Violation", "Burglary", "Other Offense", "Other Offense", "Criminal Damage", "Battery", "Criminal Damage", "Criminal Damage", "Robbery", "Theft", "Robbery" ], "description": "The sequence of crime incidents begins with a motor vehicle theft, followed by a burglary shortly after. Theft incidents emerge prominently between the first and second year, with multiple occurrences clustered around the 1 to 2-month mark and continuing into the 11-month range. Assaults appear in the third month, while burglaries show a notable presence around the 6-month mark. Towards the end of the sequence, there is a mix of battery, robbery, and criminal damage incidents, indicating a variety of crime types occurring in the latter months. Overall, theft is the most frequent crime type, with significant clustering observed in the early to mid-periods." }, { "dim_process": 20, "seq_idx": 43, "seq_len": 52, "time_since_start": [ 0.0, 0.3235648148148148, 0.34875, 0.3756481481481482, 0.4416203703703704, 0.7138425925925926, 2.4790046296296295, 4.573564814814815, 4.666851851851852, 4.677731481481482, 5.243703703703703, 5.689166666666667, 6.654120370370371, 6.89300925925926, 7.020787037037037, 7.047407407407407, 8.483287037037037, 8.57449074074074, 9.254143518518518, 9.25775462962963, 9.439421296296297, 9.487453703703704, 9.799953703703704, 11.44150462962963, 12.107592592592592, 12.742662037037038, 13.672916666666667, 14.185416666666667, 14.549953703703704, 14.685601851851851, 14.748981481481481, 15.023564814814815, 16.012800925925927, 16.144467592592594, 16.922175925925927, 17.24388888888889, 18.001342592592593, 18.15134259259259, 18.384675925925926, 18.537800925925925, 18.781203703703703, 18.843796296296297, 18.844560185185184, 19.462800925925926, 19.787453703703704, 20.080162037037038, 20.08050925925926, 21.114097222222224, 22.345787037037038, 22.621111111111112, 23.057129629629628, 23.80960648148148 ], "time_since_last_event": [ 0.0, 0.3235648148148148, 0.025185185185185185, 0.026898148148148147, 0.06597222222222222, 0.2722222222222222, 1.7651620370370371, 2.0945601851851854, 0.09328703703703704, 0.01087962962962963, 0.5659722222222222, 0.44546296296296295, 0.9649537037037037, 0.2388888888888889, 0.12777777777777777, 0.02662037037037037, 1.4358796296296297, 0.0912037037037037, 0.6796527777777778, 0.003611111111111111, 0.18166666666666667, 0.048032407407407406, 0.3125, 1.641550925925926, 0.6660879629629629, 0.6350694444444445, 0.9302546296296297, 0.5125, 0.36453703703703705, 0.13564814814814816, 0.06337962962962963, 0.27458333333333335, 0.9892361111111111, 0.13166666666666665, 0.7777083333333333, 0.321712962962963, 0.7574537037037037, 0.15, 0.23333333333333334, 0.153125, 0.24340277777777777, 0.06259259259259259, 0.0007638888888888889, 0.6182407407407408, 0.3246527777777778, 0.29270833333333335, 0.00034722222222222224, 1.033587962962963, 1.2316898148148148, 0.27532407407407405, 0.4360185185185185, 0.7524768518518519 ], "type_event": [ 9, 9, 1, 7, 0, 9, 6, 9, 2, 0, 7, 0, 9, 9, 2, 7, 6, 6, 6, 7, 6, 13, 7, 18, 10, 7, 6, 7, 4, 5, 5, 10, 9, 6, 9, 7, 7, 7, 0, 7, 7, 18, 4, 11, 6, 7, 7, 9, 4, 10, 6, 9 ], "type_text": [ "Assault", "Assault", "Weapons Violation", "Battery", "Theft", "Assault", "Criminal Damage", "Assault", "Sex Offense", "Theft", "Battery", "Theft", "Assault", "Assault", "Sex Offense", "Battery", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Battery", "Criminal Damage", "Offense Involving Children", "Battery", "Public Peace Violation", "Burglary", "Battery", "Criminal Damage", "Battery", "Motor Vehicle Theft", "Criminal Trespass", "Criminal Trespass", "Burglary", "Assault", "Criminal Damage", "Assault", "Battery", "Battery", "Battery", "Theft", "Battery", "Battery", "Public Peace Violation", "Motor Vehicle Theft", "Robbery", "Criminal Damage", "Battery", "Battery", "Assault", "Motor Vehicle Theft", "Burglary", "Criminal Damage", "Assault" ], "description": "The sequence of crime incidents shows a notable clustering of assault and battery events occurring in the earlier months, with assaults appearing frequently in the initial stages. As time progresses, there is a shift towards a higher frequency of criminal damage incidents, particularly in the later months. Theft and motor vehicle theft incidents also emerge periodically, while sex offenses and public peace violations appear less frequently. Overall, the timeline indicates a transition from violent crimes to property-related offenses as the sequence unfolds." }, { "dim_process": 20, "seq_idx": 44, "seq_len": 91, "time_since_start": [ 0.0, 0.02638888888888889, 0.2797453703703704, 0.6596064814814815, 0.9077083333333333, 2.517199074074074, 3.589351851851852, 3.9997685185185183, 4.480439814814815, 4.786111111111111, 4.798148148148148, 4.8694444444444445, 5.132407407407407, 5.784027777777778, 6.7375694444444445, 6.976736111111111, 7.131944444444445, 7.536111111111111, 7.676111111111111, 7.8555324074074075, 8.008333333333333, 8.363310185185185, 9.451782407407407, 9.52337962962963, 9.546527777777778, 9.66388888888889, 9.686111111111112, 9.729722222222222, 10.105555555555556, 11.098611111111111, 11.48101851851852, 11.896458333333333, 11.94513888888889, 12.011805555555556, 12.407291666666667, 12.771064814814816, 12.778101851851853, 12.931944444444444, 13.08611111111111, 13.278703703703703, 13.675925925925926, 13.916597222222222, 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0.2533564814814815, 0.3798611111111111, 0.24810185185185185, 1.6094907407407408, 1.0721527777777777, 0.41041666666666665, 0.4806712962962963, 0.3056712962962963, 0.012037037037037037, 0.0712962962962963, 0.26296296296296295, 0.6516203703703703, 0.9535416666666666, 0.23916666666666667, 0.15520833333333334, 0.4041666666666667, 0.14, 0.1794212962962963, 0.15280092592592592, 0.35497685185185185, 1.0884722222222223, 0.07159722222222223, 0.023148148148148147, 0.11736111111111111, 0.022222222222222223, 0.043611111111111114, 0.37583333333333335, 0.9930555555555556, 0.3824074074074074, 0.4154398148148148, 0.04868055555555555, 0.06666666666666667, 0.3954861111111111, 0.36377314814814815, 0.007037037037037037, 0.1538425925925926, 0.15416666666666667, 0.1925925925925926, 0.3972222222222222, 0.2406712962962963, 0.25122685185185184, 0.014398148148148148, 0.10319444444444445, 0.15638888888888888, 0.06965277777777777, 0.19525462962962964, 0.015277777777777777, 0.01273148148148148, 0.4027777777777778, 1.0459953703703704, 0.037662037037037036, 0.4381712962962963, 0.24113425925925927, 0.08773148148148148, 0.12395833333333334, 0.12560185185185185, 0.09699074074074074, 0.047592592592592596, 0.11863425925925926, 0.08516203703703704, 0.28583333333333333, 0.34296296296296297, 0.23368055555555556, 0.1284722222222222, 0.21868055555555554, 0.6109027777777778, 0.06166666666666667, 0.03791666666666667, 0.28912037037037036, 0.012708333333333334, 0.15872685185185184, 0.8203472222222222, 0.05914351851851852, 0.2487962962962963, 0.11277777777777778, 0.004930555555555555, 0.36520833333333336, 0.16493055555555555, 0.14594907407407406, 0.03263888888888889, 0.6444444444444445, 0.02013888888888889, 0.03194444444444444, 0.021064814814814814, 0.2163425925925926, 0.09039351851851851, 0.12254629629629629, 0.026828703703703705, 0.35636574074074073 ], "type_event": [ 3, 0, 6, 6, 6, 11, 4, 0, 7, 3, 6, 3, 6, 4, 6, 7, 0, 4, 5, 8, 4, 7, 6, 6, 0, 6, 6, 0, 0, 6, 0, 8, 0, 0, 0, 13, 7, 9, 0, 11, 7, 5, 9, 0, 0, 9, 8, 7, 7, 3, 0, 0, 6, 6, 0, 0, 5, 7, 6, 0, 7, 6, 16, 0, 9, 6, 5, 18, 7, 9, 0, 0, 7, 11, 0, 7, 0, 0, 6, 0, 7, 14, 0, 6, 6, 16, 0, 0, 0, 0, 0 ], "type_text": [ "Deceptive Practice", "Theft", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Robbery", "Motor Vehicle Theft", "Theft", "Battery", "Deceptive Practice", "Criminal Damage", "Deceptive Practice", "Criminal Damage", "Motor Vehicle Theft", "Criminal Damage", "Battery", "Theft", "Motor Vehicle Theft", "Criminal Trespass", "Other Offense", "Motor Vehicle Theft", "Battery", "Criminal Damage", "Criminal Damage", "Theft", "Criminal Damage", "Criminal Damage", "Theft", "Theft", "Criminal Damage", "Theft", "Other Offense", "Theft", "Theft", "Theft", "Offense Involving Children", "Battery", "Assault", "Theft", "Robbery", "Battery", "Criminal Trespass", "Assault", "Theft", "Theft", "Assault", "Other Offense", "Battery", "Battery", "Deceptive Practice", "Theft", "Theft", "Criminal Damage", "Criminal Damage", "Theft", "Theft", "Criminal Trespass", "Battery", "Criminal Damage", "Theft", "Battery", "Criminal Damage", "Narcotics", "Theft", "Assault", "Criminal Damage", "Criminal Trespass", "Public Peace Violation", "Battery", "Assault", "Theft", "Theft", "Battery", "Robbery", "Theft", "Battery", "Theft", "Theft", "Criminal Damage", "Theft", "Battery", "Criminal Sexual Assault", "Theft", "Criminal Damage", "Criminal Damage", "Narcotics", "Theft", "Theft", "Theft", "Theft", "Theft" ], "description": "The sequence of crime incidents shows a notable clustering of events, particularly with theft and criminal damage, which occur frequently throughout the timeline. Early in the sequence, deceptive practices and theft are reported, followed by a rise in criminal damage incidents that continue to appear at various intervals. As time progresses, there is a noticeable increase in the variety of crime types, including assaults and robberies, particularly in the later months. The frequency of theft incidents peaks towards the end of the sequence, indicating a sustained trend of this crime type. Additionally, battery incidents appear to cluster in the middle to later months, alongside other offenses." }, { "dim_process": 20, "seq_idx": 45, "seq_len": 48, "time_since_start": [ 0.0, 0.4066666666666667, 2.7338194444444444, 3.991041666666667, 4.116851851851852, 4.218819444444445, 4.910833333333334, 5.362916666666667, 5.441388888888889, 6.184444444444445, 6.878287037037037, 7.301574074074074, 7.349537037037037, 8.167083333333334, 8.636296296296296, 8.6375, 8.70111111111111, 8.834444444444445, 9.584444444444445, 9.672407407407407, 9.753194444444444, 10.116157407407407, 10.846412037037037, 11.767777777777777, 11.85113425925926, 11.93113425925926, 11.934791666666667, 11.976111111111111, 13.01013888888889, 14.10736111111111, 14.314722222222223, 14.452962962962962, 14.905972222222223, 15.097268518518518, 15.741388888888888, 15.803888888888888, 16.075439814814814, 16.134444444444444, 16.678194444444443, 17.613611111111112, 18.941550925925927, 19.551111111111112, 20.07611111111111, 21.15025462962963, 21.517800925925926, 21.76337962962963, 22.488611111111112, 22.844166666666666 ], "time_since_last_event": [ 0.0, 0.4066666666666667, 2.3271527777777776, 1.2572222222222222, 0.1258101851851852, 0.1019675925925926, 0.6920138888888889, 0.45208333333333334, 0.07847222222222222, 0.7430555555555556, 0.6938425925925926, 0.423287037037037, 0.047962962962962964, 0.8175462962962963, 0.46921296296296294, 0.0012037037037037038, 0.0636111111111111, 0.13333333333333333, 0.75, 0.08796296296296297, 0.08078703703703703, 0.362962962962963, 0.7302546296296296, 0.9213657407407407, 0.08335648148148148, 0.08, 0.0036574074074074074, 0.04131944444444444, 1.0340277777777778, 1.0972222222222223, 0.2073611111111111, 0.13824074074074075, 0.4530092592592593, 0.1912962962962963, 0.6441203703703704, 0.0625, 0.27155092592592595, 0.05900462962962963, 0.54375, 0.9354166666666667, 1.3279398148148147, 0.6095601851851852, 0.525, 1.0741435185185184, 0.3675462962962963, 0.24557870370370372, 0.7252314814814815, 0.35555555555555557 ], "type_event": [ 8, 3, 0, 0, 7, 6, 0, 9, 6, 1, 7, 6, 6, 6, 7, 6, 10, 8, 6, 4, 6, 3, 7, 7, 4, 6, 9, 4, 0, 7, 9, 7, 6, 2, 8, 0, 8, 3, 9, 9, 1, 7, 1, 7, 4, 7, 4, 9 ], "type_text": [ "Other Offense", "Deceptive Practice", "Theft", "Theft", "Battery", "Criminal Damage", "Theft", "Assault", "Criminal Damage", "Weapons Violation", "Battery", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Battery", "Criminal Damage", "Burglary", "Other Offense", "Criminal Damage", "Motor Vehicle Theft", "Criminal Damage", "Deceptive Practice", "Battery", "Battery", "Motor Vehicle Theft", "Criminal Damage", "Assault", "Motor Vehicle Theft", "Theft", "Battery", "Assault", "Battery", "Criminal Damage", "Sex Offense", "Other Offense", "Theft", "Other Offense", "Deceptive Practice", "Assault", "Assault", "Weapons Violation", "Battery", "Weapons Violation", "Battery", "Motor Vehicle Theft", "Battery", "Motor Vehicle Theft", "Assault" ], "description": "The sequence of crime incidents shows a progression of various crime types occurring over time, with certain types clustering in specific periods. Initially, other offenses and deceptive practices appear early in the timeline, followed by a rise in theft-related incidents around the 2 to 5-month mark. A notable increase in criminal damage and battery offenses occurs between 4 and 9 months, with a significant concentration of these events in the later months. As the timeline continues, motor vehicle thefts and assaults become more prevalent, particularly in the latter half of the sequence, indicating a shift in the types of crimes reported over time." }, { "dim_process": 20, "seq_idx": 46, "seq_len": 33, "time_since_start": [ 0.0, 0.6006944444444444, 1.238888888888889, 3.1691203703703703, 3.412523148148148, 3.437314814814815, 4.117013888888889, 4.647268518518518, 4.808425925925926, 4.823379629629629, 4.902083333333334, 4.992708333333334, 5.104398148148148, 6.213888888888889, 6.279166666666667, 7.540277777777778, 7.947916666666667, 8.866967592592593, 9.13888888888889, 9.28888888888889, 10.318055555555556, 10.507731481481482, 11.684722222222222, 11.823611111111111, 12.789930555555555, 13.025462962962964, 14.897777777777778, 15.708819444444444, 16.395833333333332, 16.44462962962963, 17.928472222222222, 22.600694444444443, 22.975046296296295 ], "time_since_last_event": [ 0.0, 0.6006944444444444, 0.6381944444444444, 1.9302314814814814, 0.24340277777777777, 0.024791666666666667, 0.679699074074074, 0.5302546296296297, 0.16115740740740742, 0.014953703703703703, 0.0787037037037037, 0.090625, 0.11168981481481481, 1.1094907407407408, 0.06527777777777778, 1.261111111111111, 0.4076388888888889, 0.919050925925926, 0.2719212962962963, 0.15, 1.0291666666666666, 0.18967592592592591, 1.1769907407407407, 0.1388888888888889, 0.9663194444444444, 0.2355324074074074, 1.8723148148148148, 0.8110416666666667, 0.6870138888888889, 0.048796296296296296, 1.4838425925925927, 4.6722222222222225, 0.3743518518518518 ], "type_event": [ 7, 6, 6, 8, 3, 1, 6, 17, 6, 6, 8, 9, 19, 4, 8, 6, 0, 6, 9, 4, 0, 19, 1, 3, 6, 8, 10, 6, 4, 7, 0, 7, 7 ], "type_text": [ "Battery", "Criminal Damage", "Criminal Damage", "Other Offense", "Deceptive Practice", "Weapons Violation", "Criminal Damage", "Stalking", "Criminal Damage", "Criminal Damage", "Other Offense", "Assault", "Homicide", "Motor Vehicle Theft", "Other Offense", "Criminal Damage", "Theft", "Criminal Damage", "Assault", "Motor Vehicle Theft", "Theft", "Homicide", "Weapons Violation", "Deceptive Practice", "Criminal Damage", "Other Offense", "Burglary", "Criminal Damage", "Motor Vehicle Theft", "Battery", "Theft", "Battery", "Battery" ], "description": "The sequence of crime incidents shows a pattern where Criminal Damage events are notably frequent, occurring at multiple points throughout the timeline, particularly clustered around the 4 to 12-month mark. Other Offenses and Theft incidents also appear multiple times, with Other Offenses occurring consistently in the earlier months and Theft incidents appearing later. Homicides are recorded at two distinct points, indicating a significant escalation in severity at those times. Additionally, Battery incidents are noted both early and later in the sequence, suggesting a recurring presence of this crime type. Overall, the events demonstrate a trend of increasing crime complexity and frequency as time progresses." }, { "dim_process": 20, "seq_idx": 47, "seq_len": 64, "time_since_start": [ 0.0, 0.08840277777777777, 0.10034722222222223, 0.19618055555555555, 0.22604166666666667, 0.2670138888888889, 0.27706018518518516, 0.43020833333333336, 0.5677083333333334, 0.5761574074074074, 0.6194444444444445, 2.3829861111111112, 2.9320833333333334, 2.970486111111111, 3.0881018518518517, 4.169097222222222, 4.392708333333333, 5.1397916666666665, 6.384953703703704, 6.505208333333333, 7.997685185185185, 8.022453703703704, 8.621527777777779, 9.003912037037036, 10.00400462962963, 10.265023148148147, 10.420949074074073, 10.60488425925926, 10.808472222222223, 11.442708333333334, 11.951342592592592, 12.378819444444444, 13.238541666666666, 13.259583333333333, 14.17025462962963, 14.170370370370371, 14.170439814814815, 14.49826388888889, 15.34173611111111, 15.400231481481482, 16.553125, 17.011458333333334, 17.410763888888887, 17.4125, 17.858333333333334, 18.165023148148148, 18.619282407407407, 18.67375, 18.692708333333332, 18.955902777777776, 19.075810185185187, 19.78729166666667, 19.926041666666666, 20.255208333333332, 20.427777777777777, 20.494444444444444, 20.504537037037036, 20.638541666666665, 20.666782407407407, 21.086574074074075, 21.139953703703704, 21.465995370370372, 21.944189814814816, 21.97627314814815 ], "time_since_last_event": [ 0.0, 0.08840277777777777, 0.011944444444444445, 0.09583333333333334, 0.029861111111111113, 0.04097222222222222, 0.010046296296296296, 0.15314814814814814, 0.1375, 0.008449074074074074, 0.043287037037037034, 1.7635416666666666, 0.5490972222222222, 0.03840277777777778, 0.11761574074074074, 1.0809953703703703, 0.22361111111111112, 0.7470833333333333, 1.245162037037037, 0.12025462962962963, 1.4924768518518519, 0.02476851851851852, 0.5990740740740741, 0.3823842592592593, 1.0000925925925925, 0.26101851851851854, 0.1559259259259259, 0.18393518518518517, 0.20358796296296297, 0.6342361111111111, 0.5086342592592593, 0.42747685185185186, 0.8597222222222223, 0.021041666666666667, 0.9106712962962963, 0.00011574074074074075, 6.944444444444444e-05, 0.3278240740740741, 0.8434722222222222, 0.05849537037037037, 1.1528935185185185, 0.4583333333333333, 0.3993055555555556, 0.001736111111111111, 0.44583333333333336, 0.30668981481481483, 0.45425925925925925, 0.054467592592592595, 0.018958333333333334, 0.26319444444444445, 0.11990740740740741, 0.7114814814814815, 0.13875, 0.32916666666666666, 0.17256944444444444, 0.06666666666666667, 0.010092592592592592, 0.13400462962962964, 0.02824074074074074, 0.4197916666666667, 0.05337962962962963, 0.3260416666666667, 0.4781944444444444, 0.03208333333333333 ], "type_event": [ 1, 4, 4, 10, 0, 6, 6, 9, 6, 6, 9, 3, 7, 4, 8, 6, 6, 10, 11, 6, 1, 7, 8, 7, 1, 19, 7, 16, 9, 10, 6, 7, 4, 5, 18, 8, 7, 7, 10, 6, 4, 0, 6, 6, 0, 8, 11, 6, 6, 0, 11, 10, 16, 4, 0, 8, 12, 4, 9, 4, 4, 1, 10, 9 ], "type_text": [ "Weapons Violation", "Motor Vehicle Theft", "Motor Vehicle Theft", "Burglary", "Theft", "Criminal Damage", "Criminal Damage", "Assault", "Criminal Damage", "Criminal Damage", "Assault", "Deceptive Practice", "Battery", "Motor Vehicle Theft", "Other Offense", "Criminal Damage", "Criminal Damage", "Burglary", "Robbery", "Criminal Damage", "Weapons Violation", "Battery", "Other Offense", "Battery", "Weapons Violation", "Homicide", "Battery", "Narcotics", "Assault", "Burglary", "Criminal Damage", "Battery", "Motor Vehicle Theft", "Criminal Trespass", "Public Peace Violation", "Other Offense", "Battery", "Battery", "Burglary", "Criminal Damage", "Motor Vehicle Theft", "Theft", "Criminal Damage", "Criminal Damage", "Theft", "Other Offense", "Robbery", "Criminal Damage", "Criminal Damage", "Theft", "Robbery", "Burglary", "Narcotics", "Motor Vehicle Theft", "Theft", "Other Offense", "Arson", "Motor Vehicle Theft", "Assault", "Motor Vehicle Theft", "Motor Vehicle Theft", "Weapons Violation", "Burglary", "Assault" ], "description": "The sequence of crime incidents begins with a variety of offenses, including weapons violations and motor vehicle thefts occurring in the early months. Burglary and theft incidents appear to cluster around the middle months, while criminal damage incidents are frequent throughout the timeline. Assaults and batteries increase in frequency later in the sequence, particularly in the latter half, alongside a rise in other offenses and narcotics-related incidents. The sequence also shows repeated occurrences of motor vehicle thefts and criminal damage, indicating a trend of these types of crimes being prevalent at various points." }, { "dim_process": 20, "seq_idx": 48, "seq_len": 37, "time_since_start": [ 0.0, 0.0, 0.6960185185185185, 1.5365046296296296, 4.8383564814814815, 5.047615740740741, 5.517754629629629, 5.681643518518518, 7.527662037037037, 7.593449074074074, 11.044837962962964, 11.947268518518518, 12.254560185185186, 12.673773148148149, 13.587430555555555, 14.941712962962963, 17.17539351851852, 17.685439814814814, 17.96550925925926, 18.220532407407408, 18.495532407407406, 18.78986111111111, 19.364976851851853, 21.32439814814815, 21.501875, 21.55675925925926, 21.66428240740741, 22.06736111111111, 22.356527777777778, 22.472291666666667, 22.532337962962963, 22.69358796296296, 22.958726851851853, 22.98951388888889, 23.832013888888888, 23.86277777777778, 23.901180555555555 ], "time_since_last_event": [ 0.0, 0.0, 0.6960185185185185, 0.8404861111111112, 3.301851851851852, 0.20925925925925926, 0.4701388888888889, 0.1638888888888889, 1.8460185185185185, 0.06578703703703703, 3.451388888888889, 0.9024305555555555, 0.3072916666666667, 0.41921296296296295, 0.9136574074074074, 1.3542824074074074, 2.2336805555555554, 0.5100462962962963, 0.2800694444444444, 0.25502314814814814, 0.275, 0.29432870370370373, 0.5751157407407408, 1.9594212962962962, 0.17747685185185186, 0.05488425925925926, 0.10752314814814815, 0.4030787037037037, 0.2891666666666667, 0.11576388888888889, 0.0600462962962963, 0.16125, 0.26513888888888887, 0.030787037037037036, 0.8425, 0.03076388888888889, 0.03840277777777778 ], "type_event": [ 9, 7, 16, 7, 6, 7, 0, 7, 16, 7, 4, 11, 0, 6, 11, 7, 4, 6, 16, 7, 11, 7, 6, 16, 7, 16, 7, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16 ], "type_text": [ "Assault", "Battery", "Narcotics", "Battery", "Criminal Damage", "Battery", "Theft", "Battery", "Narcotics", "Battery", "Motor Vehicle Theft", "Robbery", "Theft", "Criminal Damage", "Robbery", "Battery", "Motor Vehicle Theft", "Criminal Damage", "Narcotics", "Battery", "Robbery", "Battery", "Criminal Damage", "Narcotics", "Battery", "Narcotics", "Battery", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Narcotics" ], "description": "The sequence of crime incidents begins with assaults and batteries occurring early on, followed by a mix of narcotics-related offenses and additional batteries. As time progresses, there is a noticeable increase in the frequency of narcotics incidents, particularly clustering around the later months. Criminal damage and robberies appear intermittently, while motor vehicle thefts are reported at two distinct points. Overall, the data shows a trend of escalating narcotics-related crimes, with batteries remaining consistently present throughout the timeline." }, { "dim_process": 20, "seq_idx": 49, "seq_len": 35, "time_since_start": [ 0.0, 0.40293981481481483, 0.4046296296296296, 4.151388888888889, 4.344907407407407, 6.7, 6.894444444444445, 7.0152777777777775, 7.136111111111111, 7.141689814814815, 8.122222222222222, 8.749212962962963, 9.739583333333334, 11.032638888888888, 11.531944444444445, 12.193055555555556, 12.827083333333333, 13.870138888888889, 14.995138888888889, 15.01875, 15.420833333333333, 16.11284722222222, 16.18611111111111, 16.713194444444444, 17.3, 17.30625, 17.447685185185186, 18.43888888888889, 18.622222222222224, 18.975, 19.093912037037036, 19.275, 20.46388888888889, 20.741666666666667, 22.91226851851852 ], "time_since_last_event": [ 0.0, 0.40293981481481483, 0.0016898148148148148, 3.7467592592592593, 0.1935185185185185, 2.3550925925925927, 0.19444444444444445, 0.12083333333333333, 0.12083333333333333, 0.005578703703703704, 0.9805324074074074, 0.6269907407407408, 0.9903703703703703, 1.2930555555555556, 0.49930555555555556, 0.6611111111111111, 0.6340277777777777, 1.0430555555555556, 1.125, 0.02361111111111111, 0.40208333333333335, 0.6920138888888889, 0.07326388888888889, 0.5270833333333333, 0.5868055555555556, 0.00625, 0.1414351851851852, 0.9912037037037037, 0.18333333333333332, 0.3527777777777778, 0.11891203703703704, 0.18108796296296295, 1.1888888888888889, 0.2777777777777778, 2.1706018518518517 ], "type_event": [ 0, 6, 6, 9, 4, 4, 4, 0, 0, 0, 0, 7, 0, 0, 4, 4, 5, 4, 6, 0, 4, 0, 4, 0, 6, 0, 6, 0, 6, 6, 4, 6, 4, 4, 6 ], "type_text": [ "Theft", "Criminal Damage", "Criminal Damage", "Assault", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Theft", "Theft", "Theft", "Theft", "Battery", "Theft", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Criminal Trespass", "Motor Vehicle Theft", "Criminal Damage", "Theft", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Theft", "Criminal Damage", "Theft", "Criminal Damage", "Theft", "Criminal Damage", "Criminal Damage", "Motor Vehicle Theft", "Criminal Damage", "Motor Vehicle Theft", "Motor Vehicle Theft", "Criminal Damage" ], "description": "The sequence of crime incidents begins with theft and criminal damage occurring in the initial months, followed by a notable increase in motor vehicle thefts around the 4 to 7-month mark. As time progresses, theft incidents become more frequent, particularly between 7 and 18 months, with several clusters of thefts occurring in close succession. Criminal damage incidents also appear intermittently throughout the timeline, often following theft events. Motor vehicle thefts continue to appear regularly, especially in the later months, indicating a sustained trend in that crime type." }, { "dim_process": 20, "seq_idx": 50, "seq_len": 65, "time_since_start": [ 0.0, 0.2658101851851852, 1.2661574074074073, 2.4852546296296296, 2.5872685185185187, 2.652152777777778, 2.9692824074074076, 3.205416666666667, 3.2836805555555557, 3.4277314814814814, 3.4320138888888887, 3.6321296296296297, 4.068796296296297, 4.498773148148148, 4.567314814814814, 4.972060185185185, 5.285949074074074, 5.331898148148148, 5.331898148148148, 5.389537037037037, 5.5910416666666665, 5.626226851851852, 5.698449074074074, 5.7338657407407405, 6.072060185185185, 6.495671296296297, 7.101921296296296, 8.362337962962963, 11.091504629629629, 12.465833333333334, 12.466157407407408, 13.792893518518518, 14.260949074074073, 14.722060185185185, 15.123449074074074, 15.301226851851851, 15.322060185185185, 15.359097222222223, 15.372754629629629, 15.389421296296296, 15.542893518518518, 15.69775462962963, 15.859097222222223, 16.024837962962962, 16.919699074074074, 17.09497685185185, 17.534212962962965, 17.534282407407407, 17.876921296296295, 19.12212962962963, 19.487430555555555, 19.564421296296295, 19.658842592592592, 20.46650462962963, 20.486574074074074, 20.53263888888889, 21.42136574074074, 21.49150462962963, 21.791504629629628, 21.797824074074075, 22.064328703703705, 22.295555555555556, 22.54900462962963, 22.79914351851852, 23.32460648148148 ], "time_since_last_event": [ 0.0, 0.2658101851851852, 1.0003472222222223, 1.2190972222222223, 0.10201388888888889, 0.06488425925925925, 0.31712962962962965, 0.23613425925925927, 0.07826388888888888, 0.14405092592592592, 0.0042824074074074075, 0.20011574074074073, 0.43666666666666665, 0.42997685185185186, 0.06854166666666667, 0.4047453703703704, 0.3138888888888889, 0.04594907407407407, 0.0, 0.05763888888888889, 0.20150462962962962, 0.03518518518518519, 0.07222222222222222, 0.035416666666666666, 0.33819444444444446, 0.4236111111111111, 0.60625, 1.2604166666666667, 2.7291666666666665, 1.3743287037037037, 0.00032407407407407406, 1.3267361111111111, 0.46805555555555556, 0.46111111111111114, 0.4013888888888889, 0.17777777777777778, 0.020833333333333332, 0.037037037037037035, 0.013657407407407408, 0.016666666666666666, 0.15347222222222223, 0.15486111111111112, 0.1613425925925926, 0.16574074074074074, 0.8948611111111111, 0.17527777777777778, 0.4392361111111111, 6.944444444444444e-05, 0.3426388888888889, 1.2452083333333333, 0.36530092592592595, 0.07699074074074073, 0.0944212962962963, 0.807662037037037, 0.020069444444444445, 0.046064814814814815, 0.8887268518518519, 0.07013888888888889, 0.3, 0.006319444444444444, 0.2665046296296296, 0.23122685185185185, 0.2534490740740741, 0.2501388888888889, 0.5254629629629629 ], "type_event": [ 4, 0, 4, 2, 0, 2, 14, 4, 3, 7, 7, 0, 11, 0, 1, 0, 7, 7, 6, 7, 0, 4, 0, 5, 8, 14, 0, 0, 3, 4, 0, 5, 5, 0, 0, 0, 0, 0, 0, 0, 7, 0, 9, 7, 0, 0, 0, 0, 6, 0, 0, 4, 9, 8, 0, 4, 9, 0, 0, 5, 7, 9, 7, 0, 0 ], "type_text": [ "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Sex Offense", "Theft", "Sex Offense", "Criminal Sexual Assault", "Motor Vehicle Theft", "Deceptive Practice", "Battery", "Battery", "Theft", "Robbery", "Theft", "Weapons Violation", "Theft", "Battery", "Battery", "Criminal Damage", "Battery", "Theft", "Motor Vehicle Theft", "Theft", "Criminal Trespass", "Other Offense", "Criminal Sexual Assault", "Theft", "Theft", "Deceptive Practice", "Motor Vehicle Theft", "Theft", "Criminal Trespass", "Criminal Trespass", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Battery", "Theft", "Assault", "Battery", "Theft", "Theft", "Theft", "Theft", "Criminal Damage", "Theft", "Theft", "Motor Vehicle Theft", "Assault", "Other Offense", "Theft", "Motor Vehicle Theft", "Assault", "Theft", "Theft", "Criminal Trespass", "Battery", "Assault", "Battery", "Theft", "Theft" ], "description": "The sequence of crime incidents shows a varied pattern of offenses over time, with notable clusters of theft-related crimes occurring throughout the timeline. Motor vehicle theft appears multiple times, particularly in the earlier months and again later in the sequence. Violent crimes, such as battery and assault, are also present, with several incidents occurring in close succession around the mid-point of the timeline. Additionally, there are periods with concentrated occurrences of theft, especially in the later months, suggesting a trend of escalating theft incidents as time progresses. Overall, the data indicates that theft is the most frequent crime type, with other offenses interspersed throughout the timeline." }, { "dim_process": 20, "seq_idx": 51, "seq_len": 53, "time_since_start": [ 0.0, 0.18125, 0.215625, 1.9425462962962963, 2.0027777777777778, 2.4243055555555557, 2.775, 3.8589814814814813, 3.9458333333333333, 5.045833333333333, 5.1231481481481485, 6.095833333333333, 6.3210648148148145, 7.691666666666666, 7.699259259259259, 7.943425925925926, 8.2875, 8.664583333333333, 9.764861111111111, 10.677083333333334, 11.88513888888889, 11.93125, 12.063888888888888, 12.329166666666667, 12.626851851851852, 12.859722222222222, 13.147916666666667, 13.708333333333334, 14.35763888888889, 14.731944444444444, 14.829166666666667, 14.829189814814814, 15.119282407407407, 15.5125, 15.597222222222221, 16.162523148148146, 16.55763888888889, 16.745833333333334, 16.759027777777778, 19.13252314814815, 19.315277777777776, 20.125, 20.27986111111111, 20.328078703703703, 20.377777777777776, 20.759375, 20.760185185185186, 21.025, 21.032592592592593, 22.25803240740741, 22.77888888888889, 23.120833333333334, 23.523958333333333 ], "time_since_last_event": [ 0.0, 0.18125, 0.034375, 1.7269212962962963, 0.06023148148148148, 0.4215277777777778, 0.3506944444444444, 1.0839814814814814, 0.08685185185185185, 1.1, 0.07731481481481481, 0.9726851851851852, 0.22523148148148148, 1.370601851851852, 0.007592592592592593, 0.24416666666666667, 0.3440740740740741, 0.3770833333333333, 1.1002777777777777, 0.9122222222222223, 1.2080555555555557, 0.04611111111111111, 0.1326388888888889, 0.2652777777777778, 0.29768518518518516, 0.23287037037037037, 0.2881944444444444, 0.5604166666666667, 0.6493055555555556, 0.37430555555555556, 0.09722222222222222, 2.3148148148148147e-05, 0.29009259259259257, 0.3932175925925926, 0.08472222222222223, 0.565300925925926, 0.39511574074074074, 0.18819444444444444, 0.013194444444444444, 2.3734953703703705, 0.18275462962962963, 0.8097222222222222, 0.15486111111111112, 0.04821759259259259, 0.049699074074074076, 0.3815972222222222, 0.0008101851851851852, 0.26481481481481484, 0.007592592592592593, 1.225439814814815, 0.5208564814814814, 0.34194444444444444, 0.403125 ], "type_event": [ 7, 7, 16, 8, 7, 0, 3, 6, 8, 3, 0, 3, 0, 7, 6, 16, 0, 6, 7, 3, 11, 7, 2, 3, 4, 0, 11, 0, 6, 8, 3, 0, 15, 3, 0, 9, 9, 8, 0, 7, 10, 4, 15, 6, 7, 7, 7, 6, 11, 1, 9, 6, 7 ], "type_text": [ "Battery", "Battery", "Narcotics", "Other Offense", "Battery", "Theft", "Deceptive Practice", "Criminal Damage", "Other Offense", "Deceptive Practice", "Theft", "Deceptive Practice", "Theft", "Battery", "Criminal Damage", "Narcotics", "Theft", "Criminal Damage", "Battery", "Deceptive Practice", "Robbery", "Battery", "Sex Offense", "Deceptive Practice", "Motor Vehicle Theft", "Theft", "Robbery", "Theft", "Criminal Damage", "Other Offense", "Deceptive Practice", "Theft", "Interference With Public Officer", "Deceptive Practice", "Theft", "Assault", "Assault", "Other Offense", "Theft", "Battery", "Burglary", "Motor Vehicle Theft", "Interference With Public Officer", "Criminal Damage", "Battery", "Battery", "Battery", "Criminal Damage", "Robbery", "Weapons Violation", "Assault", "Criminal Damage", "Battery" ], "description": "The sequence of crime incidents shows a variety of crime types occurring over time, with notable clusters and trends. Initially, battery incidents are frequent, appearing early in the timeline, followed by narcotics and theft offenses. As time progresses, there is a noticeable increase in the diversity of crime types, particularly with the emergence of deceptive practices and various forms of theft. Towards the later months, there is a rise in violent offenses, including robberies and assaults, alongside a continued presence of criminal damage. Overall, the sequence indicates an escalation in both the frequency and variety of offenses as time advances." }, { "dim_process": 20, "seq_idx": 52, "seq_len": 61, "time_since_start": [ 0.0, 0.06736111111111111, 0.403125, 0.46979166666666666, 0.49930555555555556, 0.5635416666666667, 0.9336805555555555, 1.0, 1.1670138888888888, 1.4618055555555556, 2.26337962962963, 2.538310185185185, 3.0350694444444444, 3.201041666666667, 3.5336805555555557, 4.022569444444445, 4.131597222222222, 4.902430555555555, 4.917013888888889, 5.564236111111111, 7.069791666666666, 7.664583333333334, 7.7652777777777775, 7.900347222222222, 7.9006944444444445, 8.628125, 8.83576388888889, 9.266203703703704, 9.268402777777778, 9.269444444444444, 9.364930555555556, 9.36648148148148, 11.668402777777779, 12.068402777777777, 12.227430555555555, 12.369791666666666, 12.425115740740742, 12.632291666666667, 13.167708333333334, 13.326898148148148, 13.337847222222223, 13.629861111111111, 14.865625, 15.202083333333333, 15.458680555555556, 16.364930555555556, 16.603125, 17.81488425925926, 17.818171296296295, 18.15587962962963, 18.532291666666666, 18.766666666666666, 19.333680555555556, 20.372569444444444, 20.49861111111111, 20.511458333333334, 20.99965277777778, 21.01527777777778, 21.03988425925926, 22.26423611111111, 22.39988425925926 ], "time_since_last_event": [ 0.0, 0.06736111111111111, 0.33576388888888886, 0.06666666666666667, 0.029513888888888888, 0.0642361111111111, 0.3701388888888889, 0.06631944444444444, 0.16701388888888888, 0.2947916666666667, 0.8015740740740741, 0.27493055555555557, 0.49675925925925923, 0.16597222222222222, 0.3326388888888889, 0.4888888888888889, 0.10902777777777778, 0.7708333333333334, 0.014583333333333334, 0.6472222222222223, 1.5055555555555555, 0.5947916666666667, 0.10069444444444445, 0.13506944444444444, 0.00034722222222222224, 0.7274305555555556, 0.2076388888888889, 0.4304398148148148, 0.002199074074074074, 0.0010416666666666667, 0.0954861111111111, 0.0015509259259259259, 2.3019212962962965, 0.4, 0.15902777777777777, 0.1423611111111111, 0.055324074074074074, 0.20717592592592593, 0.5354166666666667, 0.1591898148148148, 0.010949074074074075, 0.2920138888888889, 1.2357638888888889, 0.33645833333333336, 0.2565972222222222, 0.90625, 0.23819444444444443, 1.2117592592592592, 0.003287037037037037, 0.33770833333333333, 0.376412037037037, 0.234375, 0.5670138888888889, 1.038888888888889, 0.12604166666666666, 0.012847222222222222, 0.48819444444444443, 0.015625, 0.024606481481481483, 1.224351851851852, 0.13564814814814816 ], "type_event": [ 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 7, 0, 6, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0 ], "type_text": [ "Theft", "Theft", "Criminal Trespass", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Battery", "Theft", "Criminal Damage", "Theft", "Theft", "Theft", "Theft", "Motor Vehicle Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Criminal Damage", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Criminal Damage", "Theft", "Criminal Damage", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Criminal Damage", "Theft", "Theft", "Theft", "Theft", "Theft" ], "description": "The sequence of crime incidents shows a predominant pattern of theft occurrences, which are consistently reported throughout the timeline, particularly in the earlier months. Criminal trespass and criminal damage incidents appear less frequently and are clustered around specific points, with criminal damage incidents occurring primarily in the later months. Motor vehicle theft is noted as a single event amidst the ongoing thefts. Overall, theft remains the most common crime type, with a noticeable concentration of incidents in the first half of the timeline, tapering off slightly but continuing consistently into the later months." }, { "dim_process": 20, "seq_idx": 53, "seq_len": 77, "time_since_start": [ 0.0, 0.33252314814814815, 1.3359953703703704, 2.207060185185185, 2.5109953703703702, 2.577662037037037, 3.221412037037037, 3.3609953703703703, 3.404050925925926, 3.452662037037037, 3.699189814814815, 3.8707175925925927, 4.071041666666667, 4.131828703703704, 4.170717592592593, 4.193981481481481, 4.401273148148148, 5.171412037037037, 5.188773148148148, 5.304050925925926, 5.471412037037037, 5.566550925925926, 5.630439814814815, 5.633217592592593, 5.7318287037037035, 6.167939814814815, 6.266550925925926, 6.427662037037037, 6.475231481481481, 6.49849537037037, 6.500578703703703, 6.569328703703704, 11.931828703703705, 12.733217592592593, 13.532060185185186, 13.760648148148148, 14.422106481481482, 14.630439814814816, 14.896064814814816, 14.99224537037037, 15.062962962962963, 15.386689814814815, 15.389467592592593, 15.622106481481481, 15.670023148148148, 16.647106481481483, 17.091087962962963, 17.092939814814816, 17.157523148148147, 17.23321759259259, 17.433101851851852, 17.686921296296298, 17.765162037037037, 17.80358796296296, 17.830439814814813, 17.838541666666668, 17.862962962962964, 17.865625, 18.03738425925926, 18.132175925925925, 18.29826388888889, 18.300578703703703, 18.319675925925925, 18.534606481481482, 18.869328703703705, 18.89849537037037, 19.133217592592594, 19.16724537037037, 19.364467592592593, 19.366435185185185, 19.500578703703702, 20.33425925925926, 20.338032407407407, 20.363773148148148, 20.38738425925926, 20.49884259259259, 20.567592592592593 ], "time_since_last_event": [ 0.0, 0.33252314814814815, 1.0034722222222223, 0.8710648148148148, 0.3039351851851852, 0.06666666666666667, 0.64375, 0.13958333333333334, 0.043055555555555555, 0.04861111111111111, 0.2465277777777778, 0.17152777777777778, 0.20032407407407407, 0.060787037037037035, 0.03888888888888889, 0.02326388888888889, 0.20729166666666668, 0.7701388888888889, 0.017361111111111112, 0.11527777777777778, 0.1673611111111111, 0.09513888888888888, 0.06388888888888888, 0.002777777777777778, 0.09861111111111111, 0.4361111111111111, 0.09861111111111111, 0.16111111111111112, 0.04756944444444444, 0.02326388888888889, 0.0020833333333333333, 0.06875, 5.3625, 0.8013888888888889, 0.7988425925925926, 0.22858796296296297, 0.6614583333333334, 0.20833333333333334, 0.265625, 0.09618055555555556, 0.0707175925925926, 0.32372685185185185, 0.002777777777777778, 0.2326388888888889, 0.04791666666666667, 0.9770833333333333, 0.4439814814814815, 0.001851851851851852, 0.06458333333333334, 0.07569444444444444, 0.19988425925925926, 0.25381944444444443, 0.07824074074074074, 0.038425925925925926, 0.026851851851851852, 0.008101851851851851, 0.024421296296296295, 0.002662037037037037, 0.17175925925925925, 0.09479166666666666, 0.16608796296296297, 0.0023148148148148147, 0.019097222222222224, 0.21493055555555557, 0.3347222222222222, 0.029166666666666667, 0.23472222222222222, 0.034027777777777775, 0.19722222222222222, 0.0019675925925925924, 0.13414351851851852, 0.8336805555555555, 0.0037731481481481483, 0.02574074074074074, 0.02361111111111111, 0.11145833333333334, 0.06875 ], "type_event": [ 3, 0, 0, 4, 4, 0, 0, 0, 0, 6, 0, 0, 0, 0, 6, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 4, 10, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0 ], "type_text": [ "Deceptive Practice", "Theft", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Theft", "Theft", "Theft", "Theft", "Criminal Damage", "Theft", "Theft", "Theft", "Theft", "Criminal Damage", "Theft", "Theft", "Criminal Damage", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Motor Vehicle Theft", "Theft", "Theft", "Deceptive Practice", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Criminal Damage", "Theft", "Theft", "Motor Vehicle Theft", "Burglary", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Motor Vehicle Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Motor Vehicle Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Criminal Damage", "Theft", "Theft", "Theft" ], "description": "The sequence of crime incidents shows a pattern where thefts are the most frequently reported crime type, occurring consistently throughout the timeline, particularly clustered in the later months. Motor vehicle thefts appear intermittently, primarily in the early and later parts of the timeline, while deceptive practices are reported at the beginning and near the end. Criminal damage incidents also occur sporadically but tend to cluster in the mid to later months. Overall, the trend indicates a significant prevalence of theft-related incidents over time, with other crime types appearing less frequently." }, { "dim_process": 20, "seq_idx": 54, "seq_len": 30, "time_since_start": [ 0.0, 0.7657638888888889, 1.0064583333333332, 2.1932638888888887, 4.043263888888889, 4.309652777777778, 6.512361111111111, 7.638935185185185, 8.035810185185186, 8.947430555555556, 10.192453703703704, 10.468564814814815, 11.130092592592593, 11.908541666666666, 12.041875, 12.470601851851852, 12.758541666666666, 13.104837962962963, 13.21412037037037, 14.363402777777777, 15.143425925925927, 15.277986111111112, 15.647430555555555, 16.514097222222222, 17.081736111111113, 17.51375, 18.606805555555557, 19.037708333333335, 20.347430555555555, 20.547175925925927 ], "time_since_last_event": [ 0.0, 0.7657638888888889, 0.24069444444444443, 1.1868055555555554, 1.85, 0.2663888888888889, 2.2027083333333333, 1.1265740740740742, 0.396875, 0.9116203703703704, 1.2450231481481482, 0.2761111111111111, 0.6615277777777778, 0.778449074074074, 0.13333333333333333, 0.42872685185185183, 0.2879398148148148, 0.34629629629629627, 0.10928240740740741, 1.1492824074074075, 0.7800231481481481, 0.13456018518518517, 0.36944444444444446, 0.8666666666666667, 0.5676388888888889, 0.43201388888888886, 1.0930555555555554, 0.4309027777777778, 1.3097222222222222, 0.19974537037037038 ], "type_event": [ 0, 7, 10, 7, 0, 1, 8, 9, 1, 4, 10, 8, 8, 1, 6, 6, 6, 9, 6, 10, 1, 14, 14, 13, 6, 0, 9, 4, 3, 1 ], "type_text": [ "Theft", "Battery", "Burglary", "Battery", "Theft", "Weapons Violation", "Other Offense", "Assault", "Weapons Violation", "Motor Vehicle Theft", "Burglary", "Other Offense", "Other Offense", "Weapons Violation", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Assault", "Criminal Damage", "Burglary", "Weapons Violation", "Criminal Sexual Assault", "Criminal Sexual Assault", "Offense Involving Children", "Criminal Damage", "Theft", "Assault", "Motor Vehicle Theft", "Deceptive Practice", "Weapons Violation" ], "description": "The sequence of crime incidents begins with theft and battery occurring within the first month, followed by a burglary shortly after. Battery and theft reappear in the early months, while weapons violations and other offenses emerge later in the timeline. A notable increase in criminal damage incidents occurs around the one-year mark, followed by a series of assaults and sexual assaults. The sequence concludes with incidents of motor vehicle theft and deceptive practices, indicating a diverse range of crime types that cluster in the latter half of the timeline." }, { "dim_process": 20, "seq_idx": 55, "seq_len": 39, "time_since_start": [ 0.0, 0.8485648148148148, 1.677523148148148, 1.8789120370370371, 2.1674305555555557, 2.93099537037037, 2.9340046296296296, 3.327523148148148, 3.5328472222222222, 4.628472222222222, 4.721967592592593, 4.984768518518519, 5.88, 6.211111111111111, 6.325439814814815, 6.803726851851851, 7.332731481481481, 7.874398148148148, 8.148703703703704, 8.228217592592593, 8.613518518518518, 9.100648148148148, 9.976828703703704, 10.703217592592592, 11.103726851851851, 11.62835648148148, 13.701226851851851, 13.707731481481481, 14.183078703703703, 15.670578703703704, 16.25347222222222, 16.50613425925926, 16.56224537037037, 18.522662037037037, 20.431828703703705, 20.46875, 20.502152777777777, 21.28875, 22.147662037037037 ], "time_since_last_event": [ 0.0, 0.8485648148148148, 0.8289583333333334, 0.2013888888888889, 0.2885185185185185, 0.7635648148148149, 0.0030092592592592593, 0.39351851851851855, 0.20532407407407408, 1.095625, 0.09349537037037037, 0.2628009259259259, 0.8952314814814815, 0.33111111111111113, 0.11432870370370371, 0.478287037037037, 0.5290046296296296, 0.5416666666666666, 0.2743055555555556, 0.07951388888888888, 0.3853009259259259, 0.48712962962962963, 0.8761805555555555, 0.7263888888888889, 0.40050925925925923, 0.5246296296296297, 2.0728703703703704, 0.006504629629629629, 0.4753472222222222, 1.4875, 0.5828935185185186, 0.25266203703703705, 0.05611111111111111, 1.9604166666666667, 1.9091666666666667, 0.0369212962962963, 0.03340277777777778, 0.7865972222222222, 0.858912037037037 ], "type_event": [ 5, 0, 0, 0, 9, 9, 0, 4, 5, 0, 4, 7, 0, 0, 0, 5, 0, 5, 0, 7, 3, 5, 7, 5, 5, 6, 5, 9, 1, 0, 4, 5, 6, 4, 10, 5, 0, 8, 6 ], "type_text": [ "Criminal Trespass", "Theft", "Theft", "Theft", "Assault", "Assault", "Theft", "Motor Vehicle Theft", "Criminal Trespass", "Theft", "Motor Vehicle Theft", "Battery", "Theft", "Theft", "Theft", "Criminal Trespass", "Theft", "Criminal Trespass", "Theft", "Battery", "Deceptive Practice", "Criminal Trespass", "Battery", "Criminal Trespass", "Criminal Trespass", "Criminal Damage", "Criminal Trespass", "Assault", "Weapons Violation", "Theft", "Motor Vehicle Theft", "Criminal Trespass", "Criminal Damage", "Motor Vehicle Theft", "Burglary", "Criminal Trespass", "Theft", "Other Offense", "Criminal Damage" ], "description": "The sequence of crime incidents shows a pattern where theft is the most frequently reported crime, occurring multiple times throughout the timeline, particularly clustered in the earlier months. Criminal trespass incidents also appear frequently, with notable occurrences spread throughout the timeline, especially in the middle to later months. Assault and battery incidents are less frequent and tend to occur in the earlier part of the sequence, while motor vehicle thefts appear intermittently. Criminal damage and other offenses are reported towards the end of the timeline, indicating a shift in the types of incidents as time progresses." }, { "dim_process": 20, "seq_idx": 56, "seq_len": 47, "time_since_start": [ 0.0, 0.9042824074074074, 1.7392361111111112, 2.0426149691358026, 3.5708796296296295, 4.493055555555555, 5.25625, 6.204166666666667, 6.752777777777778, 7.882777777777778, 8.97398148148148, 9.315300925925927, 9.53837962962963, 10.61736111111111, 10.702083333333333, 10.746527777777779, 11.176157407407407, 11.71287037037037, 11.879166666666666, 13.467106481481482, 13.942175925925927, 14.0375, 14.249305555555555, 14.44513888888889, 14.782638888888888, 14.788194444444445, 14.936805555555555, 14.942708333333334, 15.727824074074075, 16.11627314814815, 16.11747685185185, 16.510416666666668, 16.79513888888889, 17.13738425925926, 17.990972222222222, 18.261805555555554, 18.293287037037036, 18.296041666666667, 18.636388888888888, 18.916666666666668, 19.819444444444443, 19.845833333333335, 19.846527777777776, 20.051296296296297, 20.87384259259259, 21.250393518518518, 22.48951388888889 ], "time_since_last_event": [ 0.0, 0.9042824074074074, 0.8349537037037037, 0.30337885802469133, 1.5282646604938273, 0.9221759259259259, 0.7631944444444444, 0.9479166666666666, 0.5486111111111112, 1.13, 1.0912037037037037, 0.34131944444444445, 0.2230787037037037, 1.0789814814814815, 0.08472222222222223, 0.044444444444444446, 0.42962962962962964, 0.536712962962963, 0.1662962962962963, 1.5879398148148147, 0.47506944444444443, 0.09532407407407407, 0.21180555555555555, 0.19583333333333333, 0.3375, 0.005555555555555556, 0.1486111111111111, 0.005902777777777778, 0.7851157407407408, 0.3884490740740741, 0.0012037037037037038, 0.3929398148148148, 0.2847222222222222, 0.3422453703703704, 0.8535879629629629, 0.2708333333333333, 0.03148148148148148, 0.0027546296296296294, 0.34034722222222225, 0.2802777777777778, 0.9027777777777778, 0.02638888888888889, 0.0006944444444444445, 0.20476851851851852, 0.8225462962962963, 0.37655092592592593, 1.2391203703703704 ], "type_event": [ 0, 3, 7, 1, 7, 0, 4, 8, 7, 6, 6, 19, 16, 0, 0, 0, 16, 16, 13, 16, 7, 0, 7, 6, 6, 7, 6, 6, 11, 19, 19, 0, 4, 11, 3, 7, 7, 8, 16, 11, 11, 4, 6, 1, 11, 16, 7 ], "type_text": [ "Theft", "Deceptive Practice", "Battery", "Weapons Violation", "Battery", "Theft", "Motor Vehicle Theft", "Other Offense", "Battery", "Criminal Damage", "Criminal Damage", "Homicide", "Narcotics", "Theft", "Theft", "Theft", "Narcotics", "Narcotics", "Offense Involving Children", "Narcotics", "Battery", "Theft", "Battery", "Criminal Damage", "Criminal Damage", "Battery", "Criminal Damage", "Criminal Damage", "Robbery", "Homicide", "Homicide", "Theft", "Motor Vehicle Theft", "Robbery", "Deceptive Practice", "Battery", "Battery", "Other Offense", "Narcotics", "Robbery", "Robbery", "Motor Vehicle Theft", "Criminal Damage", "Weapons Violation", "Robbery", "Narcotics", "Battery" ], "description": "The sequence of crime incidents begins with theft and deceptive practices occurring within the first few months, followed by a series of battery incidents that appear intermittently throughout the timeline. Weapons violations and other offenses are reported in the early to mid-stages, while narcotics offenses increase significantly in frequency as the timeline progresses. Criminal damage incidents cluster in the later months, alongside a notable rise in robbery incidents, particularly in the latter half of the sequence. Homicides appear sporadically but are concentrated around the middle of the timeline, indicating a varied pattern of crime types over time." }, { "dim_process": 20, "seq_idx": 57, "seq_len": 33, "time_since_start": [ 0.0, 0.5423611111111111, 1.0409722222222222, 1.202199074074074, 1.8240740740740742, 1.8366435185185186, 1.9392129629629629, 2.2433564814814817, 2.5680555555555555, 3.7799537037037036, 4.10625, 4.14375, 6.612592592592593, 8.128472222222221, 9.04861111111111, 9.595740740740741, 9.970949074074074, 10.160416666666666, 10.641388888888889, 11.311273148148148, 12.26875, 13.976180555555555, 14.269791666666666, 14.967708333333333, 15.769027777777778, 16.56863425925926, 17.399305555555557, 18.071180555555557, 20.101388888888888, 20.109861111111112, 20.77048611111111, 20.872453703703705, 21.43125 ], "time_since_last_event": [ 0.0, 0.5423611111111111, 0.4986111111111111, 0.16122685185185184, 0.621875, 0.012569444444444444, 0.10256944444444445, 0.3041435185185185, 0.32469907407407406, 1.2118981481481481, 0.3262962962962963, 0.0375, 2.4688425925925928, 1.5158796296296295, 0.9201388888888888, 0.5471296296296296, 0.3752083333333333, 0.1894675925925926, 0.48097222222222225, 0.6698842592592592, 0.9574768518518518, 1.7074305555555556, 0.2936111111111111, 0.6979166666666666, 0.8013194444444445, 0.7996064814814815, 0.8306712962962963, 0.671875, 2.0302083333333334, 0.008472222222222223, 0.660625, 0.1019675925925926, 0.5587962962962963 ], "type_event": [ 7, 8, 7, 9, 4, 7, 7, 7, 9, 8, 11, 6, 16, 9, 11, 7, 5, 8, 1, 8, 5, 1, 7, 9, 16, 16, 0, 11, 0, 1, 7, 7, 7 ], "type_text": [ "Battery", "Other Offense", "Battery", "Assault", "Motor Vehicle Theft", "Battery", "Battery", "Battery", "Assault", "Other Offense", "Robbery", "Criminal Damage", "Narcotics", "Assault", "Robbery", "Battery", "Criminal Trespass", "Other Offense", "Weapons Violation", "Other Offense", "Criminal Trespass", "Weapons Violation", "Battery", "Assault", "Narcotics", "Narcotics", "Theft", "Robbery", "Theft", "Weapons Violation", "Battery", "Battery", "Battery" ], "description": "The sequence of crime incidents begins with multiple occurrences of Battery and Other Offenses within the first few months, indicating a high frequency of these types early on. Assault incidents appear shortly after, followed by a mix of Motor Vehicle Theft and Robbery incidents. As time progresses, there is a noticeable emergence of Narcotics-related offenses and Weapons Violations, particularly in the later months. The sequence also shows a clustering of Battery incidents, which are prevalent throughout the timeline, while Robbery and Theft incidents appear more prominently in the latter half of the sequence." }, { "dim_process": 20, "seq_idx": 58, "seq_len": 32, "time_since_start": [ 0.0, 0.48435185185185187, 0.6217592592592592, 1.0394444444444444, 1.9575694444444445, 2.2005555555555554, 4.186851851851852, 4.429722222222222, 4.491180555555555, 4.491226851851851, 4.81212962962963, 6.688263888888889, 7.929722222222222, 7.959212962962963, 8.396412037037036, 9.514907407407408, 10.229722222222222, 10.49986111111111, 10.757037037037037, 10.88511574074074, 11.229722222222222, 12.128425925925926, 14.024861111111111, 14.6075, 15.313935185185185, 16.2825, 17.296388888888888, 19.02138888888889, 19.996388888888887, 20.155925925925924, 21.345, 22.82138888888889 ], "time_since_last_event": [ 0.0, 0.48435185185185187, 0.1374074074074074, 0.41768518518518516, 0.918125, 0.24298611111111112, 1.9862962962962962, 0.24287037037037038, 0.06145833333333333, 4.6296296296296294e-05, 0.32090277777777776, 1.8761342592592594, 1.2414583333333333, 0.02949074074074074, 0.4371990740740741, 1.1184953703703704, 0.7148148148148148, 0.2701388888888889, 0.2571759259259259, 0.1280787037037037, 0.3446064814814815, 0.8987037037037037, 1.8964351851851853, 0.5826388888888889, 0.7064351851851852, 0.9685648148148148, 1.0138888888888888, 1.725, 0.975, 0.15953703703703703, 1.1890740740740742, 1.476388888888889 ], "type_event": [ 3, 9, 7, 2, 7, 0, 6, 0, 7, 7, 9, 0, 3, 18, 3, 3, 3, 14, 1, 3, 3, 1, 0, 0, 3, 8, 3, 0, 0, 16, 0, 3 ], "type_text": [ "Deceptive Practice", "Assault", "Battery", "Sex Offense", "Battery", "Theft", "Criminal Damage", "Theft", "Battery", "Battery", "Assault", "Theft", "Deceptive Practice", "Public Peace Violation", "Deceptive Practice", "Deceptive Practice", "Deceptive Practice", "Criminal Sexual Assault", "Weapons Violation", "Deceptive Practice", "Deceptive Practice", "Weapons Violation", "Theft", "Theft", "Deceptive Practice", "Other Offense", "Deceptive Practice", "Theft", "Theft", "Narcotics", "Theft", "Deceptive Practice" ], "description": "The sequence of crime incidents begins with a variety of offenses, including deceptive practices, assaults, and batteries occurring within the first few months. Over time, there is a noticeable clustering of theft incidents, particularly around the 14 to 21-month mark. Deceptive practices are consistently reported throughout the timeline, with several occurrences spanning from the beginning to the later months. Additionally, weapons violations and narcotics offenses appear later in the sequence, indicating a shift in the types of crimes reported as time progresses." }, { "dim_process": 20, "seq_idx": 59, "seq_len": 31, "time_since_start": [ 0.0, 2.4299768518518516, 2.7648842592592593, 2.7895833333333333, 3.5903935185185185, 4.630277777777778, 5.336967592592592, 5.825046296296296, 8.367592592592592, 8.505092592592593, 9.959606481481481, 11.201342592592592, 11.393819444444444, 11.492106481481482, 12.525949074074074, 12.740162037037036, 13.927268518518519, 14.167592592592593, 14.751273148148147, 15.15960648148148, 15.83013888888889, 17.13460648148148, 18.75122685185185, 20.12071759259259, 20.388773148148147, 22.044398148148147, 22.155439814814816, 22.572800925925925, 22.583217592592593, 23.189467592592592, 23.516550925925927 ], "time_since_last_event": [ 0.0, 2.4299768518518516, 0.33490740740740743, 0.024699074074074075, 0.8008101851851852, 1.0398842592592592, 0.7066898148148149, 0.4880787037037037, 2.542546296296296, 0.1375, 1.4545138888888889, 1.2417361111111112, 0.19247685185185184, 0.09828703703703703, 1.0338425925925927, 0.21421296296296297, 1.1871064814814816, 0.24032407407407408, 0.5836805555555555, 0.4083333333333333, 0.6705324074074074, 1.3044675925925926, 1.6166203703703703, 1.3694907407407408, 0.26805555555555555, 1.655625, 0.11104166666666666, 0.4173611111111111, 0.010416666666666666, 0.60625, 0.32708333333333334 ], "type_event": [ 8, 11, 0, 8, 0, 16, 7, 1, 11, 11, 4, 6, 4, 0, 0, 0, 5, 0, 9, 11, 7, 0, 6, 3, 3, 4, 17, 0, 6, 6, 0 ], "type_text": [ "Other Offense", "Robbery", "Theft", "Other Offense", "Theft", "Narcotics", "Battery", "Weapons Violation", "Robbery", "Robbery", "Motor Vehicle Theft", "Criminal Damage", "Motor Vehicle Theft", "Theft", "Theft", "Theft", "Criminal Trespass", "Theft", "Assault", "Robbery", "Battery", "Theft", "Criminal Damage", "Deceptive Practice", "Deceptive Practice", "Motor Vehicle Theft", "Stalking", "Theft", "Criminal Damage", "Criminal Damage", "Theft" ], "description": "The sequence of crime incidents shows a progression over time with various types of offenses reported. Initially, there is a mix of other offenses, robbery, and theft occurring within the first few months. As time progresses, thefts become more frequent, particularly clustered around the 12 to 15-month mark, alongside other offenses such as robbery and battery. Towards the latter part of the timeline, incidents of criminal damage and motor vehicle theft emerge, with a notable increase in the frequency of thefts occurring in the later months. Overall, the data reveals patterns of clustering for certain crime types, especially theft and criminal damage, as time advances." }, { "dim_process": 20, "seq_idx": 60, "seq_len": 36, "time_since_start": [ 0.0, 1.08125, 1.3416666666666666, 1.6298148148148148, 2.067361111111111, 2.2593055555555557, 2.2738425925925925, 3.3378472222222224, 3.5527777777777776, 3.6194444444444445, 4.016898148148148, 4.593055555555556, 6.090277777777778, 6.7113657407407405, 7.550694444444445, 8.07451388888889, 8.080555555555556, 8.120833333333334, 8.655578703703704, 8.902106481481482, 9.149305555555555, 9.51388888888889, 11.060069444444444, 11.343055555555555, 12.408680555555556, 12.653587962962963, 13.022222222222222, 14.511111111111111, 15.212268518518519, 15.215972222222222, 15.749305555555555, 16.21388888888889, 16.46122685185185, 16.461574074074075, 16.83375, 17.038888888888888 ], "time_since_last_event": [ 0.0, 1.08125, 0.2604166666666667, 0.28814814814814815, 0.4375462962962963, 0.19194444444444445, 0.014537037037037038, 1.0640046296296297, 0.21493055555555557, 0.06666666666666667, 0.3974537037037037, 0.5761574074074074, 1.4972222222222222, 0.621087962962963, 0.8393287037037037, 0.5238194444444444, 0.0060416666666666665, 0.04027777777777778, 0.5347453703703704, 0.2465277777777778, 0.24719907407407407, 0.3645833333333333, 1.5461805555555554, 0.2829861111111111, 1.065625, 0.2449074074074074, 0.36863425925925924, 1.488888888888889, 0.7011574074074074, 0.003703703703703704, 0.5333333333333333, 0.46458333333333335, 0.24733796296296295, 0.00034722222222222224, 0.3721759259259259, 0.2051388888888889 ], "type_event": [ 4, 0, 5, 0, 6, 6, 0, 0, 0, 0, 8, 0, 7, 6, 8, 8, 8, 8, 8, 8, 6, 7, 6, 0, 3, 6, 3, 4, 4, 4, 0, 4, 6, 6, 8, 0 ], "type_text": [ "Motor Vehicle Theft", "Theft", "Criminal Trespass", "Theft", "Criminal Damage", "Criminal Damage", "Theft", "Theft", "Theft", "Theft", "Other Offense", "Theft", "Battery", "Criminal Damage", "Other Offense", "Other Offense", "Other Offense", "Other Offense", "Other Offense", "Other Offense", "Criminal Damage", "Battery", "Criminal Damage", "Theft", "Deceptive Practice", "Criminal Damage", "Deceptive Practice", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Criminal Damage", "Criminal Damage", "Other Offense", "Theft" ], "description": "The sequence of crime incidents begins with a motor vehicle theft, followed by a mix of thefts and criminal trespass occurring within the first few months. As time progresses, there is a noticeable clustering of thefts, especially around the 3 to 4-month mark, alongside a rise in criminal damage incidents. Other offenses emerge prominently around the 8-month mark, with multiple occurrences in close succession. Towards the later months, motor vehicle thefts reappear, indicating a resurgence of this crime type, while criminal damage continues to be reported intermittently. Overall, the sequence shows a pattern of thefts and criminal damage occurring earlier, with other offenses becoming more frequent in the middle period, and motor vehicle thefts re-emerging towards the end." }, { "dim_process": 20, "seq_idx": 61, "seq_len": 59, "time_since_start": [ 0.0, 0.3627314814814815, 0.45375, 0.8253472222222222, 1.3086805555555556, 1.371712962962963, 1.4443287037037038, 1.8639814814814815, 1.993263888888889, 2.6711805555555554, 3.3254166666666665, 3.357314814814815, 3.388935185185185, 3.5878472222222224, 3.609166666666667, 3.857662037037037, 3.977777777777778, 4.092708333333333, 4.113310185185185, 4.113425925925926, 4.5628472222222225, 6.520486111111111, 7.104398148148148, 8.992939814814815, 9.40451388888889, 9.799652777777778, 9.892175925925926, 10.158101851851852, 10.231597222222222, 12.586273148148148, 12.615972222222222, 12.75173611111111, 13.197847222222222, 13.582291666666666, 13.771180555555556, 13.835069444444445, 13.868287037037037, 13.933680555555556, 14.064004629629629, 14.32974537037037, 14.681643518518518, 15.293171296296297, 16.964560185185185, 17.393472222222222, 17.4525, 17.933680555555554, 18.08240740740741, 18.426041666666666, 18.86136574074074, 19.995486111111113, 20.15787037037037, 20.186180555555556, 20.234791666666666, 20.363587962962963, 22.063194444444445, 22.397962962962964, 22.673958333333335, 23.33164351851852, 23.86226851851852 ], "time_since_last_event": [ 0.0, 0.3627314814814815, 0.09101851851851851, 0.37159722222222225, 0.48333333333333334, 0.06303240740740741, 0.07261574074074074, 0.41965277777777776, 0.1292824074074074, 0.6779166666666666, 0.6542361111111111, 0.03189814814814815, 0.03162037037037037, 0.19891203703703703, 0.021319444444444443, 0.24849537037037037, 0.12011574074074075, 0.11493055555555555, 0.02060185185185185, 0.00011574074074074075, 0.4494212962962963, 1.957638888888889, 0.5839120370370371, 1.8885416666666666, 0.4115740740740741, 0.3951388888888889, 0.09252314814814815, 0.2659259259259259, 0.07349537037037036, 2.354675925925926, 0.029699074074074076, 0.13576388888888888, 0.4461111111111111, 0.3844444444444444, 0.18888888888888888, 0.06388888888888888, 0.03321759259259259, 0.06539351851851852, 0.13032407407407406, 0.2657407407407407, 0.3518981481481481, 0.6115277777777778, 1.6713888888888888, 0.42891203703703706, 0.059027777777777776, 0.48118055555555556, 0.14872685185185186, 0.3436342592592593, 0.4353240740740741, 1.1341203703703704, 0.16238425925925926, 0.028310185185185185, 0.04861111111111111, 0.1287962962962963, 1.6996064814814815, 0.3347685185185185, 0.27599537037037036, 0.6576851851851852, 0.530625 ], "type_event": [ 0, 7, 0, 11, 6, 10, 14, 5, 5, 4, 4, 18, 5, 18, 15, 9, 4, 7, 10, 6, 7, 4, 4, 8, 7, 8, 0, 7, 4, 2, 6, 6, 7, 4, 0, 3, 7, 0, 7, 7, 10, 7, 5, 0, 9, 6, 10, 6, 8, 7, 7, 7, 10, 18, 9, 11, 4, 0, 0 ], "type_text": [ "Theft", "Battery", "Theft", "Robbery", "Criminal Damage", "Burglary", "Criminal Sexual Assault", "Criminal Trespass", "Criminal Trespass", "Motor Vehicle Theft", "Motor Vehicle Theft", "Public Peace Violation", "Criminal Trespass", "Public Peace Violation", "Interference With Public Officer", "Assault", "Motor Vehicle Theft", "Battery", "Burglary", "Criminal Damage", "Battery", "Motor Vehicle Theft", "Motor Vehicle Theft", "Other Offense", "Battery", "Other Offense", "Theft", "Battery", "Motor Vehicle Theft", "Sex Offense", "Criminal Damage", "Criminal Damage", "Battery", "Motor Vehicle Theft", "Theft", "Deceptive Practice", "Battery", "Theft", "Battery", "Battery", "Burglary", "Battery", "Criminal Trespass", "Theft", "Assault", "Criminal Damage", "Burglary", "Criminal Damage", "Other Offense", "Battery", "Battery", "Battery", "Burglary", "Public Peace Violation", "Assault", "Robbery", "Motor Vehicle Theft", "Theft", "Theft" ], "description": "The sequence of crime incidents shows a variety of crime types reported over time, with notable clustering of certain events. Initially, theft and battery incidents occur relatively early, followed by a mix of robbery, criminal damage, and sexual assault in the first two years. Motor vehicle thefts begin to appear later in the timeline and become more frequent, particularly around the three to six-month mark. As time progresses, there is a noticeable increase in battery incidents, which peak towards the end of the sequence, while other offenses like burglary and criminal damage also appear intermittently throughout the timeline. Overall, the data indicates a trend of increasing incidents of battery and motor vehicle theft over time, with theft and criminal trespass appearing consistently throughout the sequence." }, { "dim_process": 20, "seq_idx": 62, "seq_len": 111, "time_since_start": [ 0.0, 0.2326388888888889, 0.4305555555555556, 0.465625, 0.46805555555555556, 0.9336805555555555, 0.9354166666666667, 0.9659722222222222, 0.9673611111111111, 1.1288194444444444, 1.13125, 1.4721064814814815, 1.63125, 1.6711805555555554, 2.3631944444444444, 3.1006944444444446, 3.464236111111111, 3.464583333333333, 3.5635416666666666, 4.1975694444444445, 4.429861111111111, 4.632291666666666, 4.894907407407407, 5.397222222222222, 5.69875, 7.264583333333333, 7.334027777777778, 7.361805555555556, 7.430555555555555, 7.604861111111111, 7.759375, 7.825439814814815, 7.88125, 7.954583333333333, 8.561921296296296, 8.827083333333333, 8.93449074074074, 8.960416666666667, 9.061805555555555, 9.064583333333333, 9.138564814814815, 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0.15694444444444444, 0.06805555555555555, 0.03333333333333333, 0.0006944444444444445, 0.09965277777777778, 0.46493055555555557, 0.0015046296296296296, 0.06798611111111111, 0.03224537037037037, 0.08993055555555556, 0.0125, 0.2013888888888889, 0.08877314814814814, 0.23206018518518517, 0.005324074074074074, 0.10185185185185185, 0.7071759259259259, 0.03009259259259259, 0.39791666666666664, 0.03333333333333333, 0.03263888888888889, 0.16666666666666666, 0.10833333333333334, 0.032407407407407406, 1.5953703703703703, 0.029861111111111113, 0.7597222222222222, 4.026041666666667, 0.9508796296296296, 0.031643518518518515, 1.3365740740740741, 0.022222222222222223 ], "type_event": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 4, 0, 0, 0, 10, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 11, 0, 0, 0, 0, 0, 6, 6, 0, 0, 0, 0, 0, 0, 0, 4 ], "type_text": [ "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Criminal Damage", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Motor Vehicle Theft", "Theft", "Battery", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Criminal Damage", "Criminal Damage", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Criminal Damage", "Theft", "Motor Vehicle Theft", "Theft", "Theft", "Theft", "Burglary", "Criminal Damage", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Criminal Damage", "Robbery", "Theft", "Theft", "Theft", "Theft", "Theft", "Criminal Damage", "Criminal Damage", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Motor Vehicle Theft" ], "description": "The sequence of crime incidents primarily consists of thefts, which are reported consistently throughout the timeline, with a noticeable clustering of events occurring in the earlier months. Criminal damage incidents appear sporadically, primarily after the initial wave of thefts, while motor vehicle thefts are reported later in the sequence. Battery and robbery incidents are infrequent and occur in specific months, indicating a trend where thefts dominate the crime reports, especially in the initial and middle periods of the timeline. Overall, the data shows a sustained prevalence of thefts with occasional spikes in other crime types." }, { "dim_process": 20, "seq_idx": 63, "seq_len": 31, "time_since_start": [ 0.0, 0.18333333333333332, 1.3520833333333333, 1.5534027777777777, 1.6766203703703704, 2.171412037037037, 2.507962962962963, 2.870023148148148, 3.8444444444444446, 4.288425925925926, 4.406712962962963, 4.49212962962963, 4.958055555555555, 8.727314814814815, 9.967245370370371, 11.219375, 11.570833333333333, 11.991712962962962, 12.334722222222222, 12.584282407407407, 13.970833333333333, 15.106944444444444, 15.409375, 15.474768518518518, 15.539699074074074, 15.674583333333333, 15.8375, 15.901967592592593, 16.10622685185185, 16.533333333333335, 19.070833333333333 ], "time_since_last_event": [ 0.0, 0.18333333333333332, 1.16875, 0.20131944444444444, 0.12321759259259259, 0.4947916666666667, 0.33655092592592595, 0.3620601851851852, 0.9744212962962963, 0.4439814814814815, 0.11828703703703704, 0.08541666666666667, 0.4659259259259259, 3.7692592592592593, 1.2399305555555555, 1.2521296296296296, 0.3514583333333333, 0.4208796296296296, 0.34300925925925924, 0.2495601851851852, 1.3865509259259259, 1.136111111111111, 0.30243055555555554, 0.06539351851851852, 0.06493055555555556, 0.13488425925925926, 0.16291666666666665, 0.06446759259259259, 0.20425925925925925, 0.4271064814814815, 2.5375 ], "type_event": [ 0, 8, 6, 1, 6, 0, 0, 6, 9, 0, 0, 0, 6, 0, 0, 7, 6, 10, 0, 7, 18, 0, 0, 7, 0, 0, 0, 9, 7, 11, 11 ], "type_text": [ "Theft", "Other Offense", "Criminal Damage", "Weapons Violation", "Criminal Damage", "Theft", "Theft", "Criminal Damage", "Assault", "Theft", "Theft", "Theft", "Criminal Damage", "Theft", "Theft", "Battery", "Criminal Damage", "Burglary", "Theft", "Battery", "Public Peace Violation", "Theft", "Theft", "Battery", "Theft", "Theft", "Theft", "Assault", "Battery", "Robbery", "Robbery" ], "description": "The sequence of crime incidents shows a pattern where thefts are the most frequent type of crime reported, occurring at various intervals throughout the timeline, particularly clustered in the early months and again around the 15-month mark. Criminal damage incidents appear earlier in the sequence, with several occurrences within the first few months. Other offenses, such as battery and assault, emerge later in the timeline, with a notable increase in incidents around the 15-month mark. Robberies are reported towards the end of the sequence, indicating a shift in the types of crimes occurring as time progresses." }, { "dim_process": 20, "seq_idx": 64, "seq_len": 30, "time_since_start": [ 0.0, 1.5278935185185185, 1.5978703703703703, 1.598148148148148, 2.725578703703704, 3.199537037037037, 5.994884259259259, 6.1246527777777775, 7.681481481481481, 7.691203703703704, 8.590509259259258, 10.057638888888889, 11.002314814814815, 11.475925925925926, 11.799305555555556, 11.931481481481482, 12.97662037037037, 13.762037037037038, 13.999537037037037, 15.293981481481481, 15.308217592592593, 15.337037037037037, 16.143981481481482, 16.75752314814815, 16.818981481481483, 19.98287037037037, 20.524189814814815, 20.874537037037037, 21.28875, 21.576851851851853 ], "time_since_last_event": [ 0.0, 1.5278935185185185, 0.06997685185185185, 0.0002777777777777778, 1.1274305555555555, 0.4739583333333333, 2.7953472222222224, 0.1297685185185185, 1.5568287037037036, 0.009722222222222222, 0.8993055555555556, 1.4671296296296297, 0.944675925925926, 0.4736111111111111, 0.32337962962962963, 0.13217592592592592, 1.0451388888888888, 0.7854166666666667, 0.2375, 1.2944444444444445, 0.01423611111111111, 0.028819444444444446, 0.8069444444444445, 0.6135416666666667, 0.06145833333333333, 3.1638888888888888, 0.5413194444444445, 0.3503472222222222, 0.41421296296296295, 0.28810185185185183 ], "type_event": [ 6, 0, 0, 0, 0, 6, 0, 0, 4, 4, 0, 0, 4, 6, 0, 0, 0, 4, 4, 4, 4, 4, 6, 4, 4, 0, 0, 6, 4, 7 ], "type_text": [ "Criminal Damage", "Theft", "Theft", "Theft", "Theft", "Criminal Damage", "Theft", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Theft", "Theft", "Motor Vehicle Theft", "Criminal Damage", "Theft", "Theft", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Criminal Damage", "Motor Vehicle Theft", "Motor Vehicle Theft", "Theft", "Theft", "Criminal Damage", "Motor Vehicle Theft", "Battery" ], "description": "The sequence of crime incidents in Chicago begins with a report of Criminal Damage, followed by a series of Theft incidents that occur in close succession over the next several months. As time progresses, there is a notable increase in Motor Vehicle Theft incidents, particularly clustered between the 7 to 16-month mark. Criminal Damage reports appear intermittently throughout the timeline, while Theft incidents remain prevalent, with a slight increase in frequency toward the latter part of the sequence. The final incidents include a Battery report, indicating a shift in crime type toward the end of the observed period." }, { "dim_process": 20, "seq_idx": 65, "seq_len": 59, "time_since_start": [ 0.0, 0.02962962962962963, 1.0078472222222221, 1.5445833333333334, 2.633773148148148, 3.257175925925926, 4.999074074074074, 5.100462962962963, 5.316435185185185, 5.497685185185185, 6.057407407407408, 6.132407407407407, 6.912962962962963, 7.200231481481482, 7.204282407407407, 7.343518518518518, 8.695949074074074, 8.712962962962964, 9.20488425925926, 9.625462962962963, 9.821296296296296, 9.85601851851852, 10.011180555555555, 10.215046296296297, 10.345300925925926, 10.497523148148149, 10.50710648148148, 10.946296296296296, 11.13699074074074, 11.34548611111111, 11.90324074074074, 12.337314814814814, 12.486574074074074, 12.546319444444444, 13.091898148148148, 13.262662037037037, 13.428587962962963, 13.560416666666667, 13.665740740740741, 14.99212962962963, 15.99837962962963, 16.071851851851854, 16.47546296296296, 16.793518518518518, 17.625462962962963, 17.872685185185187, 18.431898148148147, 18.985069444444445, 19.112962962962964, 20.172175925925927, 20.215949074074075, 20.23261574074074, 20.26263888888889, 20.509953703703705, 21.074930555555557, 21.23935185185185, 21.49391203703704, 22.061180555555556, 22.635833333333334 ], "time_since_last_event": [ 0.0, 0.02962962962962963, 0.9782175925925926, 0.5367361111111111, 1.089189814814815, 0.6234027777777778, 1.7418981481481481, 0.10138888888888889, 0.21597222222222223, 0.18125, 0.5597222222222222, 0.075, 0.7805555555555556, 0.28726851851851853, 0.004050925925925926, 0.13923611111111112, 1.3524305555555556, 0.017013888888888887, 0.4919212962962963, 0.4205787037037037, 0.19583333333333333, 0.034722222222222224, 0.15516203703703704, 0.20386574074074074, 0.13025462962962964, 0.15222222222222223, 0.009583333333333333, 0.43918981481481484, 0.19069444444444444, 0.20849537037037036, 0.5577546296296296, 0.43407407407407406, 0.14925925925925926, 0.05974537037037037, 0.5455787037037036, 0.17076388888888888, 0.16592592592592592, 0.1318287037037037, 0.10532407407407407, 1.3263888888888888, 1.00625, 0.07347222222222222, 0.4036111111111111, 0.31805555555555554, 0.8319444444444445, 0.24722222222222223, 0.559212962962963, 0.5531712962962962, 0.12789351851851852, 1.059212962962963, 0.04377314814814815, 0.016666666666666666, 0.03002314814814815, 0.24731481481481482, 0.5649768518518519, 0.1644212962962963, 0.2545601851851852, 0.5672685185185186, 0.5746527777777778 ], "type_event": [ 4, 3, 6, 6, 0, 9, 4, 9, 6, 6, 6, 0, 4, 7, 9, 0, 7, 3, 7, 7, 7, 7, 7, 7, 7, 6, 6, 6, 7, 8, 4, 9, 7, 0, 5, 6, 8, 7, 7, 7, 7, 7, 7, 0, 4, 4, 7, 9, 7, 6, 6, 12, 4, 9, 8, 4, 8, 8, 0 ], "type_text": [ "Motor Vehicle Theft", "Deceptive Practice", "Criminal Damage", "Criminal Damage", "Theft", "Assault", "Motor Vehicle Theft", "Assault", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Theft", "Motor Vehicle Theft", "Battery", "Assault", "Theft", "Battery", "Deceptive Practice", "Battery", "Battery", "Battery", "Battery", "Battery", "Battery", "Battery", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Battery", "Other Offense", "Motor Vehicle Theft", "Assault", "Battery", "Theft", "Criminal Trespass", "Criminal Damage", "Other Offense", "Battery", "Battery", "Battery", "Battery", "Battery", "Battery", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Battery", "Assault", "Battery", "Criminal Damage", "Criminal Damage", "Arson", "Motor Vehicle Theft", "Assault", "Other Offense", "Motor Vehicle Theft", "Other Offense", "Other Offense", "Theft" ], "description": "The sequence of crime incidents shows a progression of various crime types over time, with certain types occurring more frequently in specific periods. Initially, incidents such as motor vehicle theft and deceptive practices are reported, followed by a notable increase in criminal damage and assaults around the 5 to 10 month mark. A significant cluster of battery incidents emerges from month 9 onwards, peaking towards the end of the sequence. Motor vehicle theft also recurs periodically, particularly in later months, while theft and other offenses appear intermittently throughout the timeline." }, { "dim_process": 20, "seq_idx": 66, "seq_len": 55, "time_since_start": [ 0.0, 0.6145833333333334, 0.8200925925925926, 0.9873611111111111, 1.898611111111111, 2.0720833333333335, 3.011458333333333, 4.019212962962963, 4.15, 4.798611111111111, 5.073194444444445, 5.0777777777777775, 5.411689814814815, 5.501481481481481, 6.380324074074074, 6.387962962962963, 7.036111111111111, 7.088125, 7.099259259259259, 7.586111111111111, 8.293587962962963, 8.700763888888888, 8.702407407407408, 9.415972222222223, 10.028148148148148, 10.562337962962962, 10.56511574074074, 11.196064814814815, 11.215277777777779, 11.957523148148148, 12.812824074074074, 13.253912037037036, 13.321898148148149, 13.888194444444444, 13.917013888888889, 14.736574074074074, 14.880324074074075, 14.916666666666666, 15.124583333333334, 16.005555555555556, 16.30115740740741, 16.448611111111113, 17.09861111111111, 17.689444444444444, 18.050462962962964, 18.58101851851852, 18.84287037037037, 19.936203703703704, 20.302083333333332, 20.832013888888888, 21.594814814814814, 22.26388888888889, 23.267800925925926, 23.762847222222224, 23.825 ], "time_since_last_event": [ 0.0, 0.6145833333333334, 0.20550925925925925, 0.1672685185185185, 0.91125, 0.17347222222222222, 0.939375, 1.0077546296296296, 0.13078703703703703, 0.6486111111111111, 0.27458333333333335, 0.004583333333333333, 0.33391203703703703, 0.08979166666666667, 0.8788425925925926, 0.007638888888888889, 0.6481481481481481, 0.05201388888888889, 0.011134259259259259, 0.48685185185185187, 0.7074768518518518, 0.40717592592592594, 0.0016435185185185185, 0.7135648148148148, 0.612175925925926, 0.5341898148148149, 0.002777777777777778, 0.6309490740740741, 0.019212962962962963, 0.7422453703703704, 0.8553009259259259, 0.441087962962963, 0.06798611111111111, 0.5662962962962963, 0.028819444444444446, 0.8195601851851851, 0.14375, 0.03634259259259259, 0.20791666666666667, 0.8809722222222223, 0.29560185185185184, 0.1474537037037037, 0.65, 0.5908333333333333, 0.3610185185185185, 0.5305555555555556, 0.26185185185185184, 1.0933333333333333, 0.3658796296296296, 0.5299305555555556, 0.762800925925926, 0.669074074074074, 1.0039120370370371, 0.4950462962962963, 0.06215277777777778 ], "type_event": [ 7, 7, 8, 7, 0, 9, 7, 13, 7, 0, 11, 7, 7, 9, 6, 7, 9, 11, 9, 4, 1, 1, 7, 4, 6, 7, 7, 7, 3, 10, 8, 7, 1, 6, 6, 6, 7, 6, 7, 11, 6, 3, 3, 7, 8, 9, 9, 7, 10, 7, 3, 11, 7, 6, 6 ], "type_text": [ "Battery", "Battery", "Other Offense", "Battery", "Theft", "Assault", "Battery", "Offense Involving Children", "Battery", "Theft", "Robbery", "Battery", "Battery", "Assault", "Criminal Damage", "Battery", "Assault", "Robbery", "Assault", "Motor Vehicle Theft", "Weapons Violation", "Weapons Violation", "Battery", "Motor Vehicle Theft", "Criminal Damage", "Battery", "Battery", "Battery", "Deceptive Practice", "Burglary", "Other Offense", "Battery", "Weapons Violation", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Battery", "Criminal Damage", "Battery", "Robbery", "Criminal Damage", "Deceptive Practice", "Deceptive Practice", "Battery", "Other Offense", "Assault", "Assault", "Battery", "Burglary", "Battery", "Deceptive Practice", "Robbery", "Battery", "Criminal Damage", "Criminal Damage" ], "description": "The sequence of crime incidents shows a notable clustering of battery offenses, particularly in the initial months, with multiple occurrences within the first year. Other offense types, such as theft and assault, appear intermittently, with some incidents occurring shortly after battery events. As time progresses, there is a noticeable increase in the variety of offenses, including weapons violations and deceptive practices, particularly in the latter half of the timeline. Criminal damage incidents also emerge as a significant trend, appearing frequently in the later months. Overall, the sequence reflects an evolving pattern of crime types, with earlier months dominated by battery and later months showcasing a broader range of offenses." }, { "dim_process": 20, "seq_idx": 67, "seq_len": 38, "time_since_start": [ 0.0, 0.0012268518518518518, 0.3126851851851852, 0.45011574074074073, 1.3130324074074073, 1.9316203703703703, 2.1254166666666667, 3.2783101851851852, 3.6574768518518517, 5.697060185185185, 5.701226851851852, 6.03363425925926, 6.2792361111111115, 6.465347222222222, 6.617569444444444, 7.229699074074074, 7.501527777777778, 7.7490046296296295, 9.16025462962963, 12.67900462962963, 12.892199074074075, 13.012569444444445, 13.013032407407408, 13.25388888888889, 14.826944444444445, 15.006782407407407, 15.361574074074074, 16.878078703703704, 17.388587962962962, 19.01071759259259, 20.038194444444443, 20.038194444444443, 20.826226851851853, 21.043263888888887, 21.06372685185185, 21.152060185185185, 22.65247685185185, 23.94511574074074 ], "time_since_last_event": [ 0.0, 0.0012268518518518518, 0.31145833333333334, 0.13743055555555556, 0.8629166666666667, 0.6185879629629629, 0.1937962962962963, 1.1528935185185185, 0.37916666666666665, 2.0395833333333333, 0.004166666666666667, 0.33240740740740743, 0.24560185185185185, 0.18611111111111112, 0.15222222222222223, 0.6121296296296296, 0.2718287037037037, 0.24747685185185186, 1.41125, 3.51875, 0.21319444444444444, 0.12037037037037036, 0.000462962962962963, 0.24085648148148148, 1.5730555555555557, 0.17983796296296295, 0.35479166666666667, 1.5165046296296296, 0.5105092592592593, 1.6221296296296297, 1.0274768518518518, 0.0, 0.7880324074074074, 0.21703703703703703, 0.020462962962962964, 0.08833333333333333, 1.5004166666666667, 1.292638888888889 ], "type_event": [ 7, 7, 9, 9, 7, 9, 7, 8, 7, 9, 7, 7, 7, 9, 7, 9, 7, 7, 10, 9, 11, 4, 4, 9, 7, 11, 1, 8, 9, 8, 8, 12, 7, 6, 6, 16, 7, 0 ], "type_text": [ "Battery", "Battery", "Assault", "Assault", "Battery", "Assault", "Battery", "Other Offense", "Battery", "Assault", "Battery", "Battery", "Battery", "Assault", "Battery", "Assault", "Battery", "Battery", "Burglary", "Assault", "Robbery", "Motor Vehicle Theft", "Motor Vehicle Theft", "Assault", "Battery", "Robbery", "Weapons Violation", "Other Offense", "Assault", "Other Offense", "Other Offense", "Arson", "Battery", "Criminal Damage", "Criminal Damage", "Narcotics", "Battery", "Theft" ], "description": "The sequence of crime incidents begins with a cluster of battery and assault events occurring within the first few months. As time progresses, assaults and batteries continue to appear, but other offenses, including burglary and robbery, start to emerge around the one-year mark. Later in the timeline, there is a noticeable increase in the variety of crime types, including narcotics and arson, with a final cluster of battery and theft incidents occurring towards the end of the sequence. Overall, the sequence shows a progression from primarily battery and assault incidents to a broader range of crime types over time." }, { "dim_process": 20, "seq_idx": 68, "seq_len": 41, "time_since_start": [ 0.0, 2.4654861111111113, 3.5347222222222223, 3.867800925925926, 3.872916666666667, 4.103773148148148, 4.574814814814815, 5.184375, 5.407638888888889, 6.071689814814815, 6.906944444444444, 6.916643518518518, 7.337962962962963, 7.814814814814815, 8.212152777777778, 10.783333333333333, 11.901388888888889, 12.247453703703703, 12.633333333333333, 14.90101851851852, 15.038194444444445, 15.375856481481481, 16.333333333333332, 17.235185185185184, 17.552777777777777, 17.658333333333335, 18.173842592592592, 18.34662037037037, 18.510324074074074, 18.85972222222222, 18.874189814814816, 18.93888888888889, 20.14664351851852, 20.31076388888889, 21.379166666666666, 22.03900462962963, 22.09525462962963, 22.17712962962963, 22.295856481481483, 23.182824074074073, 23.871921296296296 ], "time_since_last_event": [ 0.0, 2.4654861111111113, 1.069236111111111, 0.3330787037037037, 0.005115740740740741, 0.23085648148148147, 0.4710416666666667, 0.6095601851851852, 0.2232638888888889, 0.664050925925926, 0.8352546296296296, 0.009699074074074074, 0.42131944444444447, 0.47685185185185186, 0.397337962962963, 2.5711805555555554, 1.1180555555555556, 0.3460648148148148, 0.38587962962962963, 2.267685185185185, 0.13717592592592592, 0.337662037037037, 0.9574768518518518, 0.9018518518518519, 0.3175925925925926, 0.10555555555555556, 0.5155092592592593, 0.17277777777777778, 0.1637037037037037, 0.3493981481481481, 0.014467592592592593, 0.06469907407407408, 1.2077546296296295, 0.16412037037037036, 1.0684027777777778, 0.6598379629629629, 0.05625, 0.081875, 0.11872685185185185, 0.8869675925925926, 0.6890972222222222 ], "type_event": [ 0, 16, 6, 16, 6, 16, 1, 9, 1, 0, 1, 10, 7, 7, 0, 9, 6, 7, 0, 16, 16, 16, 7, 16, 4, 14, 0, 7, 1, 4, 11, 11, 7, 16, 4, 7, 16, 6, 16, 8, 16 ], "type_text": [ "Theft", "Narcotics", "Criminal Damage", "Narcotics", "Criminal Damage", "Narcotics", "Weapons Violation", "Assault", "Weapons Violation", "Theft", "Weapons Violation", "Burglary", "Battery", "Battery", "Theft", "Assault", "Criminal Damage", "Battery", "Theft", "Narcotics", "Narcotics", "Narcotics", "Battery", "Narcotics", "Motor Vehicle Theft", "Criminal Sexual Assault", "Theft", "Battery", "Weapons Violation", "Motor Vehicle Theft", "Robbery", "Robbery", "Battery", "Narcotics", "Motor Vehicle Theft", "Battery", "Narcotics", "Criminal Damage", "Narcotics", "Other Offense", "Narcotics" ], "description": "The sequence of crime incidents shows a variety of crime types occurring over time, with certain patterns emerging. Initially, thefts and narcotics offenses appear early in the timeline, followed by a mix of criminal damage and weapons violations. As time progresses, there is a noticeable clustering of battery incidents, particularly in the later months, along with a rise in narcotics offenses. Additionally, motor vehicle thefts and robberies are concentrated towards the end of the sequence, indicating a shift in the types of crimes reported as time advances. Overall, the data reflects a progression from theft and narcotics towards more violent offenses and property crimes in the latter stages." }, { "dim_process": 20, "seq_idx": 69, "seq_len": 109, "time_since_start": [ 0.0, 0.053425925925925925, 1.4425694444444443, 1.7751388888888888, 1.866412037037037, 1.933263888888889, 2.0441203703703703, 2.0784953703703706, 2.1190046296296297, 2.341574074074074, 2.4364120370370372, 2.4390046296296295, 2.544212962962963, 2.8508333333333336, 3.4031018518518517, 3.5144444444444445, 3.839699074074074, 3.978587962962963, 4.231064814814815, 5.199583333333333, 5.282106481481481, 5.3039351851851855, 5.303958333333333, 5.679768518518519, 5.781967592592593, 5.837824074074074, 5.904143518518518, 6.119467592592593, 6.407384259259259, 6.448518518518519, 6.620972222222222, 6.783541666666666, 6.992546296296296, 7.014421296296296, 7.400162037037037, 7.703171296296296, 7.7431018518518515, 7.774699074074074, 7.84650462962963, 7.85488425925926, 7.9063888888888885, 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"type_text": [ "Other Offense", "Narcotics", "Criminal Damage", "Motor Vehicle Theft", "Weapons Violation", "Battery", "Narcotics", "Weapons Violation", "Weapons Violation", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Robbery", "Narcotics", "Public Peace Violation", "Narcotics", "Theft", "Weapons Violation", "Narcotics", "Battery", "Narcotics", "Narcotics", "Narcotics", "Battery", "Narcotics", "Narcotics", "Weapons Violation", "Narcotics", "Narcotics", "Narcotics", "Criminal Damage", "Criminal Damage", "Narcotics", "Offense Involving Children", "Narcotics", "Criminal Trespass", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Battery", "Narcotics", "Narcotics", "Criminal Trespass", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Theft", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Criminal Damage", "Criminal Damage", "Battery", "Battery", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Other Offense", "Weapons Violation", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Battery", "Weapons Violation", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Criminal Damage", "Narcotics", "Narcotics", "Narcotics", "Weapons Violation", "Criminal Damage", "Narcotics", "Narcotics", "Narcotics", "Assault", "Battery", "Narcotics", "Weapons Violation", "Narcotics", "Motor Vehicle Theft", "Narcotics", "Narcotics", "Theft", "Narcotics", "Weapons Violation", "Battery", "Criminal Damage" ], "description": "The sequence of crime incidents shows a high frequency of narcotics-related offenses, particularly clustered between the first and fourth months, with a notable peak around the second month. Weapons violations and battery incidents appear intermittently throughout the timeline, with some clustering around the later months. Criminal damage incidents are also present, occurring sporadically, particularly in the later months. The sequence indicates that while narcotics offenses dominate early on, other crime types such as theft and motor vehicle theft emerge more prominently in the latter part of the timeline." }, { "dim_process": 20, "seq_idx": 70, "seq_len": 32, "time_since_start": [ 0.0, 1.01875, 4.440277777777778, 4.720833333333333, 4.845138888888889, 4.956527777777778, 5.879166666666666, 6.05300925925926, 6.354166666666667, 6.508287037037037, 7.588888888888889, 9.22638888888889, 9.283333333333333, 9.39398148148148, 10.036111111111111, 10.2375, 10.26388888888889, 10.646875, 11.02224537037037, 11.842361111111112, 12.279861111111112, 12.40625, 15.021527777777777, 15.022222222222222, 16.019444444444446, 16.122337962962963, 16.599305555555556, 17.945833333333333, 18.314583333333335, 19.223958333333332, 19.6875, 21.675439814814816 ], "time_since_last_event": [ 0.0, 1.01875, 3.421527777777778, 0.28055555555555556, 0.12430555555555556, 0.11138888888888888, 0.9226388888888889, 0.1738425925925926, 0.30115740740740743, 0.15412037037037038, 1.0806018518518519, 1.6375, 0.05694444444444444, 0.11064814814814815, 0.6421296296296296, 0.2013888888888889, 0.02638888888888889, 0.38298611111111114, 0.37537037037037035, 0.8201157407407408, 0.4375, 0.12638888888888888, 2.6152777777777776, 0.0006944444444444445, 0.9972222222222222, 0.10289351851851852, 0.4769675925925926, 1.3465277777777778, 0.36875, 0.909375, 0.4635416666666667, 1.9879398148148149 ], "type_event": [ 4, 9, 11, 4, 4, 9, 4, 9, 7, 7, 0, 0, 6, 11, 3, 3, 9, 6, 4, 8, 6, 8, 9, 8, 0, 0, 11, 4, 0, 13, 4, 16 ], "type_text": [ "Motor Vehicle Theft", "Assault", "Robbery", "Motor Vehicle Theft", "Motor Vehicle Theft", "Assault", "Motor Vehicle Theft", "Assault", "Battery", "Battery", "Theft", "Theft", "Criminal Damage", "Robbery", "Deceptive Practice", "Deceptive Practice", "Assault", "Criminal Damage", "Motor Vehicle Theft", "Other Offense", "Criminal Damage", "Other Offense", "Assault", "Other Offense", "Theft", "Theft", "Robbery", "Motor Vehicle Theft", "Theft", "Offense Involving Children", "Motor Vehicle Theft", "Narcotics" ], "description": "The sequence of crime incidents begins with a motor vehicle theft, followed by an assault within the first month. A cluster of events occurs around the 4 to 6-month mark, including multiple motor vehicle thefts and assaults, indicating a pattern of violent and property crimes. As time progresses, thefts and criminal damage incidents become more frequent, particularly between the 9 and 12-month periods. Towards the end of the sequence, there is a notable increase in the variety of offenses, including narcotics and offenses involving children, suggesting a diversification in crime types as time advances." }, { "dim_process": 20, "seq_idx": 71, "seq_len": 96, "time_since_start": [ 0.0, 0.4241898148148148, 0.5114583333333333, 0.5538194444444444, 1.531273148148148, 2.7931712962962965, 2.995833333333333, 3.133449074074074, 4.031018518518518, 4.0315972222222225, 4.142708333333333, 4.840856481481482, 5.208726851851852, 5.271712962962963, 5.294791666666667, 5.577430555555556, 5.695717592592593, 5.926736111111111, 6.311481481481482, 6.3938194444444445, 6.46099537037037, 6.7637731481481485, 6.862847222222222, 6.878125, 7.174768518518518, 7.36724537037037, 7.403819444444444, 7.8366898148148145, 7.875810185185185, 8.282291666666667, 8.635069444444444, 8.636435185185185, 8.669097222222222, 9.073958333333334, 10.076319444444444, 10.207986111111111, 10.225347222222222, 10.267708333333333, 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0.07891203703703703, 0.19018518518518518, 0.016412037037037037, 1.7320601851851851 ], "type_event": [ 4, 0, 7, 9, 9, 0, 0, 9, 0, 0, 4, 0, 3, 3, 0, 3, 0, 0, 7, 0, 0, 4, 0, 9, 9, 3, 18, 0, 3, 5, 7, 7, 2, 6, 0, 11, 0, 3, 9, 7, 0, 0, 4, 7, 3, 4, 0, 4, 9, 3, 9, 0, 4, 6, 0, 7, 7, 0, 0, 0, 3, 0, 3, 0, 7, 7, 0, 3, 7, 3, 4, 0, 3, 0, 0, 3, 7, 3, 0, 6, 4, 7, 0, 8, 6, 6, 11, 4, 0, 11, 3, 6, 5, 10, 0, 11 ], "type_text": [ "Motor Vehicle Theft", "Theft", "Battery", "Assault", "Assault", "Theft", "Theft", "Assault", "Theft", "Theft", "Motor Vehicle Theft", "Theft", "Deceptive Practice", "Deceptive Practice", "Theft", "Deceptive Practice", "Theft", "Theft", "Battery", "Theft", "Theft", "Motor Vehicle Theft", "Theft", "Assault", "Assault", "Deceptive Practice", "Public Peace Violation", "Theft", "Deceptive Practice", "Criminal Trespass", "Battery", "Battery", "Sex Offense", "Criminal Damage", "Theft", "Robbery", "Theft", "Deceptive Practice", "Assault", "Battery", "Theft", "Theft", "Motor Vehicle Theft", "Battery", "Deceptive Practice", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Assault", "Deceptive Practice", "Assault", "Theft", "Motor Vehicle Theft", "Criminal Damage", "Theft", "Battery", "Battery", "Theft", "Theft", "Theft", "Deceptive Practice", "Theft", "Deceptive Practice", "Theft", "Battery", "Battery", "Theft", "Deceptive Practice", "Battery", "Deceptive Practice", "Motor Vehicle Theft", "Theft", "Deceptive Practice", "Theft", "Theft", "Deceptive Practice", "Battery", "Deceptive Practice", "Theft", "Criminal Damage", "Motor Vehicle Theft", "Battery", "Theft", "Other Offense", "Criminal Damage", "Criminal Damage", "Robbery", "Motor Vehicle Theft", "Theft", "Robbery", "Deceptive Practice", "Criminal Damage", "Criminal Trespass", "Burglary", "Theft", "Robbery" ], "description": "The sequence of crime incidents shows a variety of crime types occurring over time, with notable clustering and patterns. Initially, incidents such as motor vehicle theft and thefts are reported, followed by a rise in assaults and deceptive practices in the mid-range months. As time progresses, there is a noticeable increase in thefts and deceptive practices, particularly in the later months, alongside a consistent presence of battery incidents. Additionally, motor vehicle thefts reappear periodically throughout the sequence, indicating a recurring trend. Towards the end of the timeline, there is a spike in robbery incidents, suggesting a shift in the types of crimes reported." }, { "dim_process": 20, "seq_idx": 72, "seq_len": 65, "time_since_start": [ 0.0, 0.5602546296296296, 0.9806018518518519, 1.0236574074074074, 1.0359953703703704, 2.3029166666666665, 2.964976851851852, 3.40837962962963, 3.534074074074074, 4.067546296296296, 4.232685185185185, 4.718101851851852, 5.640717592592592, 7.059074074074074, 7.49625, 8.462569444444444, 8.80351851851852, 8.92738425925926, 9.230023148148149, 9.693703703703704, 9.777129629629629, 9.998518518518518, 10.483958333333334, 10.583287037037037, 10.85837962962963, 11.198657407407408, 11.206527777777778, 11.327824074074075, 11.76199074074074, 11.928402777777778, 11.93025462962963, 11.95976851851852, 12.141018518518518, 13.032685185185185, 13.049351851851851, 13.268148148148148, 13.867407407407407, 13.901898148148149, 14.396921296296297, 15.103402777777777, 15.138032407407408, 15.315972222222221, 15.388703703703703, 15.585902777777777, 16.23037037037037, 16.493425925925926, 16.610462962962963, 16.73324074074074, 16.812685185185185, 16.82296296296296, 17.300763888888888, 17.57296296296296, 17.64449074074074, 17.693796296296295, 18.19159722222222, 18.53335648148148, 18.878564814814816, 19.606064814814815, 19.66011574074074, 19.995185185185186, 20.00490740740741, 20.228171296296296, 21.672268518518518, 22.21763888888889, 22.29372685185185 ], "time_since_last_event": [ 0.0, 0.5602546296296296, 0.4203472222222222, 0.043055555555555555, 0.012337962962962964, 1.2669212962962964, 0.6620601851851852, 0.44340277777777776, 0.12569444444444444, 0.5334722222222222, 0.1651388888888889, 0.48541666666666666, 0.9226157407407407, 1.4183564814814815, 0.4371759259259259, 0.9663194444444444, 0.3409490740740741, 0.12386574074074073, 0.3026388888888889, 0.46368055555555554, 0.08342592592592593, 0.22138888888888889, 0.4854398148148148, 0.0993287037037037, 0.2750925925925926, 0.3402777777777778, 0.00787037037037037, 0.12129629629629629, 0.43416666666666665, 0.16641203703703702, 0.001851851851851852, 0.029513888888888888, 0.18125, 0.8916666666666667, 0.016666666666666666, 0.2187962962962963, 0.5992592592592593, 0.03449074074074074, 0.49502314814814813, 0.7064814814814815, 0.03462962962962963, 0.17793981481481483, 0.07273148148148148, 0.19719907407407408, 0.6444675925925926, 0.26305555555555554, 0.11703703703703704, 0.12277777777777778, 0.07944444444444444, 0.010277777777777778, 0.47780092592592593, 0.27219907407407407, 0.07152777777777777, 0.049305555555555554, 0.49780092592592595, 0.34175925925925926, 0.34520833333333334, 0.7275, 0.054050925925925926, 0.3350694444444444, 0.009722222222222222, 0.2232638888888889, 1.4440972222222221, 0.5453703703703704, 0.07608796296296297 ], "type_event": [ 1, 8, 8, 4, 1, 9, 7, 0, 8, 7, 6, 8, 6, 6, 6, 11, 6, 15, 7, 6, 9, 8, 1, 6, 4, 6, 4, 0, 1, 8, 8, 9, 6, 8, 0, 7, 0, 6, 8, 8, 4, 9, 15, 5, 7, 7, 0, 7, 9, 7, 0, 0, 0, 14, 7, 7, 0, 7, 7, 7, 4, 9, 8, 7, 1 ], "type_text": [ "Weapons Violation", "Other Offense", "Other Offense", "Motor Vehicle Theft", "Weapons Violation", "Assault", "Battery", "Theft", "Other Offense", "Battery", "Criminal Damage", "Other Offense", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Robbery", "Criminal Damage", "Interference With Public Officer", "Battery", "Criminal Damage", "Assault", "Other Offense", "Weapons Violation", "Criminal Damage", "Motor Vehicle Theft", "Criminal Damage", "Motor Vehicle Theft", "Theft", "Weapons Violation", "Other Offense", "Other Offense", "Assault", "Criminal Damage", "Other Offense", "Theft", "Battery", "Theft", "Criminal Damage", "Other Offense", "Other Offense", "Motor Vehicle Theft", "Assault", "Interference With Public Officer", "Criminal Trespass", "Battery", "Battery", "Theft", "Battery", "Assault", "Battery", "Theft", "Theft", "Theft", "Criminal Sexual Assault", "Battery", "Battery", "Theft", "Battery", "Battery", "Battery", "Motor Vehicle Theft", "Assault", "Other Offense", "Battery", "Weapons Violation" ], "description": "The sequence of crime incidents in the block shows a progression of various offenses over time, with certain types of crimes occurring in clusters. Initially, there are a mix of weapons violations and other offenses, followed by a rise in assaults and batteries around the two-month mark. As time progresses, there is a notable increase in criminal damage incidents, particularly after the four-month mark, and motor vehicle thefts appear sporadically throughout the sequence. Towards the end of the timeline, there is a significant concentration of battery incidents, alongside a variety of other offenses, indicating a shift in crime patterns as the sequence unfolds." }, { "dim_process": 20, "seq_idx": 73, "seq_len": 71, "time_since_start": [ 0.0, 0.1062037037037037, 1.5666666666666667, 4.512847222222222, 4.915625, 5.25, 5.70775462962963, 6.543055555555555, 6.618541666666666, 7.217361111111111, 7.545833333333333, 8.118287037037037, 8.721828703703704, 8.84375, 10.358333333333333, 11.23349537037037, 11.241666666666667, 11.254907407407407, 11.589583333333334, 11.620833333333334, 11.647222222222222, 12.280439814814814, 12.363888888888889, 12.592361111111112, 13.291782407407407, 14.612916666666667, 14.820416666666667, 14.82150462962963, 14.886458333333334, 14.993865740740741, 15.02662037037037, 15.047986111111111, 15.085092592592593, 15.145763888888888, 15.394375, 15.42361111111111, 15.488078703703703, 15.515856481481482, 15.922222222222222, 15.927083333333334, 15.928680555555555, 16.07928240740741, 16.188194444444445, 16.196527777777778, 16.313310185185184, 16.316319444444446, 16.784375, 16.977893518518517, 16.979444444444443, 17.079166666666666, 17.120416666666667, 17.263657407407408, 17.46099537037037, 17.48638888888889, 17.927847222222223, 18.618194444444445, 19.520717592592593, 19.78763888888889, 20.02148148148148, 20.09722222222222, 20.722569444444446, 20.760231481481483, 20.893055555555556, 21.124537037037037, 21.18872685185185, 21.216550925925926, 21.22136574074074, 21.377314814814813, 21.427777777777777, 22.153472222222224, 24.09289351851852 ], "time_since_last_event": [ 0.0, 0.1062037037037037, 1.460462962962963, 2.9461805555555554, 0.4027777777777778, 0.334375, 0.45775462962962965, 0.835300925925926, 0.07548611111111111, 0.5988194444444445, 0.3284722222222222, 0.5724537037037037, 0.6035416666666666, 0.12192129629629629, 1.5145833333333334, 0.875162037037037, 0.008171296296296296, 0.01324074074074074, 0.33467592592592593, 0.03125, 0.02638888888888889, 0.6332175925925926, 0.08344907407407408, 0.22847222222222222, 0.6994212962962963, 1.3211342592592592, 0.2075, 0.0010879629629629629, 0.06495370370370371, 0.10740740740740741, 0.03275462962962963, 0.02136574074074074, 0.03710648148148148, 0.0606712962962963, 0.24861111111111112, 0.029236111111111112, 0.06446759259259259, 0.027777777777777776, 0.4063657407407407, 0.004861111111111111, 0.0015972222222222223, 0.15060185185185185, 0.10891203703703704, 0.008333333333333333, 0.1167824074074074, 0.0030092592592592593, 0.46805555555555556, 0.1935185185185185, 0.0015509259259259259, 0.09972222222222223, 0.04125, 0.14324074074074075, 0.19733796296296297, 0.02539351851851852, 0.44145833333333334, 0.6903472222222222, 0.9025231481481482, 0.2669212962962963, 0.2338425925925926, 0.07574074074074075, 0.6253472222222223, 0.037662037037037036, 0.13282407407407407, 0.23148148148148148, 0.06418981481481481, 0.027824074074074074, 0.004814814814814815, 0.15594907407407407, 0.050462962962962966, 0.7256944444444444, 1.9394212962962962 ], "type_event": [ 8, 10, 5, 4, 9, 3, 0, 8, 16, 6, 9, 0, 0, 0, 0, 10, 5, 8, 0, 9, 3, 0, 4, 0, 10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0 ], "type_text": [ "Other Offense", "Burglary", "Criminal Trespass", "Motor Vehicle Theft", "Assault", "Deceptive Practice", "Theft", "Other Offense", "Narcotics", "Criminal Damage", "Assault", "Theft", "Theft", "Theft", "Theft", "Burglary", "Criminal Trespass", "Other Offense", "Theft", "Assault", "Deceptive Practice", "Theft", "Motor Vehicle Theft", "Theft", "Burglary", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Criminal Damage", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Criminal Damage", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Deceptive Practice", "Theft" ], "description": "The sequence of crime incidents in the block shows a pattern where various types of offenses occur over time, with a notable increase in theft incidents. Initially, there are a few diverse offenses, including burglary and motor vehicle theft, occurring in the early months. As time progresses, theft becomes the predominant crime type, with a significant cluster of theft incidents occurring in the later months, particularly around the 15 to 22-month mark. Other offenses, such as assault and criminal damage, appear sporadically but do not dominate the sequence as theft does." }, { "dim_process": 20, "seq_idx": 74, "seq_len": 35, "time_since_start": [ 0.0, 2.1146296296296296, 3.7924074074074072, 4.560462962962963, 4.588240740740741, 5.5846527777777775, 5.636851851851852, 6.169768518518518, 6.576898148148148, 7.607685185185185, 7.677939814814815, 7.692407407407408, 7.870185185185186, 9.146574074074074, 10.220185185185185, 10.271574074074074, 10.365324074074074, 10.619953703703704, 10.641018518518518, 11.959074074074074, 16.14, 16.322430555555556, 16.362685185185185, 16.965324074074076, 16.968796296296297, 17.007685185185185, 17.042407407407406, 17.66324074074074, 17.665671296296296, 18.196574074074075, 19.01446759259259, 19.05553240740741, 20.357685185185186, 21.00988425925926, 22.594490740740742 ], "time_since_last_event": [ 0.0, 2.1146296296296296, 1.6777777777777778, 0.7680555555555556, 0.027777777777777776, 0.9964120370370371, 0.05219907407407407, 0.5329166666666667, 0.4071296296296296, 1.0307870370370371, 0.07025462962962963, 0.014467592592592593, 0.17777777777777778, 1.2763888888888888, 1.073611111111111, 0.05138888888888889, 0.09375, 0.25462962962962965, 0.021064814814814814, 1.3180555555555555, 4.1809259259259255, 0.18243055555555557, 0.040254629629629626, 0.6026388888888888, 0.003472222222222222, 0.03888888888888889, 0.034722222222222224, 0.6208333333333333, 0.0024305555555555556, 0.5309027777777777, 0.8178935185185185, 0.04106481481481482, 1.3021527777777777, 0.6521990740740741, 1.5846064814814815 ], "type_event": [ 0, 3, 0, 0, 0, 0, 7, 3, 11, 8, 3, 0, 0, 3, 3, 11, 6, 0, 0, 4, 9, 7, 0, 0, 0, 0, 0, 0, 9, 0, 6, 0, 6, 0, 0 ], "type_text": [ "Theft", "Deceptive Practice", "Theft", "Theft", "Theft", "Theft", "Battery", "Deceptive Practice", "Robbery", "Other Offense", "Deceptive Practice", "Theft", "Theft", "Deceptive Practice", "Deceptive Practice", "Robbery", "Criminal Damage", "Theft", "Theft", "Motor Vehicle Theft", "Assault", "Battery", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Assault", "Theft", "Criminal Damage", "Theft", "Criminal Damage", "Theft", "Theft" ], "description": "The sequence of crime incidents begins with a theft reported at the start, followed by a mix of deceptive practices and thefts occurring within the first few months. There is a notable cluster of thefts around the 4 to 10-month mark, alongside incidents of robbery and battery. As time progresses, the frequency of thefts remains high, with additional incidents of criminal damage and assaults appearing later in the timeline. The pattern indicates a sustained prevalence of theft throughout the sequence, with other crime types emerging intermittently." }, { "dim_process": 20, "seq_idx": 75, "seq_len": 51, "time_since_start": [ 0.0, 0.25458333333333333, 0.4671296296296296, 1.7309722222222221, 2.3670833333333334, 3.4295833333333334, 3.53775462962963, 4.465, 4.742106481481481, 5.190439814814815, 5.361643518518519, 5.4025, 5.472754629629629, 5.636828703703704, 5.701990740740741, 5.7553935185185185, 6.389305555555556, 6.952314814814815, 7.245925925925926, 7.655347222222222, 8.006805555555555, 8.492083333333333, 8.967175925925925, 8.989305555555555, 9.035486111111112, 9.542083333333334, 10.192083333333333, 10.233564814814814, 12.60875, 12.709305555555556, 13.055972222222222, 13.800625, 13.818472222222223, 13.876527777777778, 14.065694444444444, 14.205347222222223, 14.301412037037037, 14.320787037037038, 15.755972222222223, 16.144861111111112, 16.89763888888889, 17.262453703703702, 17.74023148148148, 18.62738425925926, 19.137916666666666, 19.53449074074074, 20.125416666666666, 22.663819444444446, 22.990694444444443, 22.992083333333333, 23.167083333333334 ], "time_since_last_event": [ 0.0, 0.25458333333333333, 0.2125462962962963, 1.2638425925925927, 0.6361111111111111, 1.0625, 0.1081712962962963, 0.9272453703703704, 0.2771064814814815, 0.4483333333333333, 0.1712037037037037, 0.04085648148148148, 0.07025462962962963, 0.16407407407407407, 0.06516203703703703, 0.05340277777777778, 0.633912037037037, 0.5630092592592593, 0.2936111111111111, 0.4094212962962963, 0.3514583333333333, 0.48527777777777775, 0.47509259259259257, 0.02212962962962963, 0.04618055555555556, 0.5065972222222223, 0.65, 0.04148148148148148, 2.375185185185185, 0.10055555555555555, 0.3466666666666667, 0.7446527777777778, 0.017847222222222223, 0.058055555555555555, 0.18916666666666668, 0.13965277777777776, 0.09606481481481481, 0.019375, 1.4351851851851851, 0.3888888888888889, 0.7527777777777778, 0.3648148148148148, 0.4777777777777778, 0.8871527777777778, 0.5105324074074075, 0.3965740740740741, 0.590925925925926, 2.538402777777778, 0.326875, 0.001388888888888889, 0.175 ], "type_event": [ 8, 3, 7, 0, 13, 7, 1, 9, 7, 8, 6, 9, 7, 8, 4, 9, 10, 3, 8, 7, 1, 3, 7, 0, 9, 8, 13, 13, 13, 3, 4, 7, 3, 7, 9, 6, 6, 5, 4, 7, 0, 0, 6, 6, 4, 9, 8, 5, 8, 0, 7 ], "type_text": [ "Other Offense", "Deceptive Practice", "Battery", "Theft", "Offense Involving Children", "Battery", "Weapons Violation", "Assault", "Battery", "Other Offense", "Criminal Damage", "Assault", "Battery", "Other Offense", "Motor Vehicle Theft", "Assault", "Burglary", "Deceptive Practice", "Other Offense", "Battery", "Weapons Violation", "Deceptive Practice", "Battery", "Theft", "Assault", "Other Offense", "Offense Involving Children", "Offense Involving Children", "Offense Involving Children", "Deceptive Practice", "Motor Vehicle Theft", "Battery", "Deceptive Practice", "Battery", "Assault", "Criminal Damage", "Criminal Damage", "Criminal Trespass", "Motor Vehicle Theft", "Battery", "Theft", "Theft", "Criminal Damage", "Criminal Damage", "Motor Vehicle Theft", "Assault", "Other Offense", "Criminal Trespass", "Other Offense", "Theft", "Battery" ], "description": "The sequence of crime incidents shows a diverse range of offenses occurring over time, with certain types of crimes appearing more frequently in clusters. Initially, there are a mix of offenses, including deceptive practices and batteries, but as time progresses, batteries and thefts become more prominent, particularly in the middle of the timeline. Towards the latter part of the sequence, there is a noticeable increase in criminal damage incidents and motor vehicle thefts, while offenses involving children appear sporadically throughout. Overall, the sequence indicates a trend of increasing complexity in crime types as time advances, with certain offenses like battery and theft recurring frequently." }, { "dim_process": 20, "seq_idx": 76, "seq_len": 56, "time_since_start": [ 0.0, 0.8638888888888889, 1.4, 1.4266666666666667, 1.4659722222222222, 1.65125, 1.957638888888889, 2.30625, 2.5038194444444444, 2.7508101851851854, 2.948611111111111, 3.078333333333333, 3.2955555555555556, 3.379814814814815, 3.718564814814815, 3.8, 5.783680555555556, 5.966666666666667, 6.498611111111111, 7.234837962962963, 7.7674768518518515, 7.78125, 7.866666666666666, 8.202777777777778, 10.318055555555556, 11.191550925925926, 12.315162037037037, 12.326319444444444, 12.577615740740741, 12.588287037037038, 12.682430555555555, 12.838634259259258, 13.417708333333334, 13.618726851851852, 13.690277777777778, 13.690277777777778, 14.050578703703703, 15.583333333333334, 15.714351851851852, 15.962013888888889, 16.201342592592592, 16.266666666666666, 16.61550925925926, 16.81539351851852, 17.641666666666666, 18.563402777777778, 18.913703703703703, 18.97162037037037, 19.3125, 19.54564814814815, 19.91111111111111, 20.78162037037037, 20.990277777777777, 21.850694444444443, 22.216689814814814, 23.215555555555557 ], "time_since_last_event": [ 0.0, 0.8638888888888889, 0.5361111111111111, 0.02666666666666667, 0.03930555555555556, 0.1852777777777778, 0.3063888888888889, 0.3486111111111111, 0.19756944444444444, 0.24699074074074073, 0.19780092592592594, 0.1297222222222222, 0.21722222222222223, 0.08425925925925926, 0.33875, 0.08143518518518518, 1.9836805555555554, 0.1829861111111111, 0.5319444444444444, 0.7362268518518519, 0.5326388888888889, 0.013773148148148149, 0.08541666666666667, 0.33611111111111114, 2.1152777777777776, 0.8734953703703704, 1.1236111111111111, 0.011157407407407408, 0.2512962962962963, 0.010671296296296297, 0.09414351851851852, 0.1562037037037037, 0.5790740740740741, 0.2010185185185185, 0.07155092592592592, 0.0, 0.36030092592592594, 1.5327546296296297, 0.1310185185185185, 0.24766203703703704, 0.2393287037037037, 0.06532407407407408, 0.3488425925925926, 0.19988425925925926, 0.8262731481481481, 0.9217361111111111, 0.35030092592592593, 0.057916666666666665, 0.34087962962962964, 0.23314814814814816, 0.365462962962963, 0.8705092592592593, 0.2086574074074074, 0.8604166666666667, 0.3659953703703704, 0.9988657407407407 ], "type_event": [ 8, 7, 6, 9, 13, 8, 9, 6, 7, 7, 8, 8, 8, 16, 16, 3, 7, 0, 7, 7, 9, 0, 8, 6, 6, 7, 16, 16, 8, 16, 16, 6, 16, 7, 7, 9, 1, 0, 0, 7, 9, 2, 7, 16, 8, 9, 6, 7, 11, 8, 0, 6, 7, 4, 6, 16 ], "type_text": [ "Other Offense", "Battery", "Criminal Damage", "Assault", "Offense Involving Children", "Other Offense", "Assault", "Criminal Damage", "Battery", "Battery", "Other Offense", "Other Offense", "Other Offense", "Narcotics", "Narcotics", "Deceptive Practice", "Battery", "Theft", "Battery", "Battery", "Assault", "Theft", "Other Offense", "Criminal Damage", "Criminal Damage", "Battery", "Narcotics", "Narcotics", "Other Offense", "Narcotics", "Narcotics", "Criminal Damage", "Narcotics", "Battery", "Battery", "Assault", "Weapons Violation", "Theft", "Theft", "Battery", "Assault", "Sex Offense", "Battery", "Narcotics", "Other Offense", "Assault", "Criminal Damage", "Battery", "Robbery", "Other Offense", "Theft", "Criminal Damage", "Battery", "Motor Vehicle Theft", "Criminal Damage", "Narcotics" ], "description": "The sequence of crime incidents in Chicago shows a variety of offenses occurring over time, with certain types of crimes appearing in clusters. Initially, incidents such as \"Other Offense,\" \"Battery,\" and \"Assault\" are more frequent within the first few months. As time progresses, there is a noticeable increase in narcotics-related offenses and thefts, particularly in the later months. Criminal damage incidents also appear consistently throughout the timeline, with a slight uptick in frequency as the sequence advances. Overall, the data indicates a dynamic pattern of crime types, with certain offenses emerging more prominently at different stages." }, { "dim_process": 20, "seq_idx": 77, "seq_len": 47, "time_since_start": [ 0.0, 0.12060185185185185, 0.8825231481481481, 1.80125, 1.8708333333333333, 2.422222222222222, 2.9555555555555557, 3.7469907407407406, 4.291805555555555, 4.560208333333334, 4.653472222222222, 6.275925925925926, 6.333333333333333, 7.2125, 7.222222222222222, 7.872939814814814, 7.877962962962963, 8.140833333333333, 8.483541666666667, 9.299305555555556, 9.857152777777777, 9.95, 10.190277777777778, 10.596064814814815, 10.74826388888889, 11.975, 11.975694444444445, 12.720833333333333, 12.942361111111111, 12.954212962962963, 17.539236111111112, 18.081875, 19.199305555555554, 19.71789351851852, 20.10324074074074, 20.682430555555555, 21.13113425925926, 21.464583333333334, 22.451527777777777, 22.480787037037036, 22.624907407407406, 22.724652777777777, 22.726041666666667, 22.99224537037037, 23.388425925925926, 23.45138888888889, 23.483171296296295 ], "time_since_last_event": [ 0.0, 0.12060185185185185, 0.7619212962962963, 0.9187268518518519, 0.06958333333333333, 0.5513888888888889, 0.5333333333333333, 0.7914351851851852, 0.5448148148148149, 0.26840277777777777, 0.09326388888888888, 1.6224537037037037, 0.05740740740740741, 0.8791666666666667, 0.009722222222222222, 0.6507175925925925, 0.005023148148148148, 0.26287037037037037, 0.34270833333333334, 0.8157638888888888, 0.5578472222222223, 0.09284722222222222, 0.24027777777777778, 0.40578703703703706, 0.15219907407407407, 1.226736111111111, 0.0006944444444444445, 0.7451388888888889, 0.22152777777777777, 0.011851851851851851, 4.5850231481481485, 0.5426388888888889, 1.1174305555555555, 0.518587962962963, 0.38534722222222223, 0.5791898148148148, 0.4487037037037037, 0.3334490740740741, 0.9869444444444444, 0.02925925925925926, 0.14412037037037037, 0.09974537037037037, 0.001388888888888889, 0.2662037037037037, 0.39618055555555554, 0.06296296296296296, 0.031782407407407405 ], "type_event": [ 3, 0, 6, 0, 0, 7, 0, 7, 9, 10, 9, 2, 0, 7, 11, 7, 7, 6, 16, 5, 10, 0, 0, 6, 7, 0, 3, 0, 0, 10, 7, 7, 4, 7, 3, 6, 11, 11, 7, 11, 9, 7, 11, 0, 7, 2, 3 ], "type_text": [ "Deceptive Practice", "Theft", "Criminal Damage", "Theft", "Theft", "Battery", "Theft", "Battery", "Assault", "Burglary", "Assault", "Sex Offense", "Theft", "Battery", "Robbery", "Battery", "Battery", "Criminal Damage", "Narcotics", "Criminal Trespass", "Burglary", "Theft", "Theft", "Criminal Damage", "Battery", "Theft", "Deceptive Practice", "Theft", "Theft", "Burglary", "Battery", "Battery", "Motor Vehicle Theft", "Battery", "Deceptive Practice", "Criminal Damage", "Robbery", "Robbery", "Battery", "Robbery", "Assault", "Battery", "Robbery", "Theft", "Battery", "Sex Offense", "Deceptive Practice" ], "description": "The sequence of crime incidents shows a varied pattern over time, with certain types of crimes appearing more frequently at specific intervals. Initially, deceptive practices and thefts occur early in the timeline, followed by a rise in battery incidents around the two-month mark. As time progresses, there is a noticeable clustering of thefts and batteries, particularly between the 7 to 12-month range, while robberies and assaults emerge later in the sequence. Towards the end, there is a resurgence of deceptive practices and a steady occurrence of battery incidents, indicating a complex interplay of crime types throughout the observed period." }, { "dim_process": 20, "seq_idx": 78, "seq_len": 36, "time_since_start": [ 0.0, 0.9034722222222222, 1.5420138888888888, 1.99375, 2.566666666666667, 3.634375, 4.188935185185185, 5.8, 6.3805555555555555, 6.516666666666667, 7.552777777777778, 7.563888888888889, 7.95, 8.380555555555556, 9.102893518518519, 10.34375, 10.58125, 11.170833333333333, 13.418055555555556, 13.696736111111111, 13.934722222222222, 14.478472222222223, 14.499074074074073, 16.545833333333334, 16.55, 18.24337962962963, 19.728171296296296, 20.107407407407408, 21.232523148148147, 22.48472222222222, 22.947314814814813, 23.319444444444443, 23.535648148148148, 23.591875, 23.755208333333332, 23.75625 ], "time_since_last_event": [ 0.0, 0.9034722222222222, 0.6385416666666667, 0.4517361111111111, 0.5729166666666666, 1.0677083333333333, 0.5545601851851852, 1.6110648148148148, 0.5805555555555556, 0.1361111111111111, 1.0361111111111112, 0.011111111111111112, 0.3861111111111111, 0.4305555555555556, 0.7223379629629629, 1.2408564814814815, 0.2375, 0.5895833333333333, 2.2472222222222222, 0.27868055555555554, 0.23798611111111112, 0.54375, 0.02060185185185185, 2.046759259259259, 0.004166666666666667, 1.6933796296296297, 1.4847916666666667, 0.3792361111111111, 1.1251157407407408, 1.252199074074074, 0.4625925925925926, 0.37212962962962964, 0.2162037037037037, 0.056226851851851854, 0.16333333333333333, 0.0010416666666666667 ], "type_event": [ 0, 6, 7, 5, 7, 3, 11, 0, 6, 4, 3, 6, 0, 0, 7, 4, 4, 6, 4, 8, 4, 7, 0, 8, 6, 7, 7, 0, 7, 4, 0, 7, 7, 6, 1, 1 ], "type_text": [ "Theft", "Criminal Damage", "Battery", "Criminal Trespass", "Battery", "Deceptive Practice", "Robbery", "Theft", "Criminal Damage", "Motor Vehicle Theft", "Deceptive Practice", "Criminal Damage", "Theft", "Theft", "Battery", "Motor Vehicle Theft", "Motor Vehicle Theft", "Criminal Damage", "Motor Vehicle Theft", "Other Offense", "Motor Vehicle Theft", "Battery", "Theft", "Other Offense", "Criminal Damage", "Battery", "Battery", "Theft", "Battery", "Motor Vehicle Theft", "Theft", "Battery", "Battery", "Criminal Damage", "Weapons Violation", "Weapons Violation" ], "description": "The sequence of crime incidents shows a variety of crime types occurring over time, with notable clusters and trends. Initially, incidents such as theft and criminal damage appear within the first few months, followed by a rise in battery incidents. As time progresses, there is a noticeable increase in motor vehicle thefts and deceptive practices, particularly between the 6 to 14-month mark. Towards the later months, battery incidents continue to be reported frequently, alongside a consistent presence of theft and criminal damage events, culminating in a spike of weapons violations at the very end of the sequence. Overall, the data suggests a pattern of increasing complexity and variety in crime types as the timeline advances." }, { "dim_process": 20, "seq_idx": 79, "seq_len": 65, "time_since_start": [ 0.0, 2.4375, 3.134259259259259, 3.1400462962962963, 3.545138888888889, 3.6724537037037037, 3.8403240740740743, 4.345486111111111, 4.35900462962963, 4.3842592592592595, 4.867013888888889, 5.418009259259259, 5.4534722222222225, 6.109444444444445, 6.678842592592592, 7.1097222222222225, 8.834606481481481, 9.044907407407408, 9.474652777777777, 9.692546296296296, 9.694675925925926, 9.737847222222221, 9.885416666666666, 11.468055555555555, 12.476967592592592, 13.139328703703704, 15.408333333333333, 15.811805555555555, 16.01388888888889, 16.743055555555557, 16.945833333333333, 17.053472222222222, 17.143912037037037, 17.211111111111112, 17.2125, 17.40486111111111, 17.44212962962963, 17.446805555555557, 17.447222222222223, 17.4475, 17.511111111111113, 17.637175925925927, 17.64097222222222, 17.77377314814815, 18.20689814814815, 18.345833333333335, 18.394675925925927, 18.600694444444443, 18.611342592592592, 18.75636574074074, 18.873958333333334, 18.875740740740742, 19.01076388888889, 19.046180555555555, 19.068055555555556, 19.069444444444443, 19.070138888888888, 19.144444444444446, 19.273611111111112, 19.30763888888889, 19.944444444444443, 20.659027777777776, 20.862962962962964, 22.055578703703702, 22.65277777777778 ], "time_since_last_event": [ 0.0, 2.4375, 0.6967592592592593, 0.005787037037037037, 0.4050925925925926, 0.12731481481481483, 0.16787037037037036, 0.505162037037037, 0.013518518518518518, 0.02525462962962963, 0.4827546296296296, 0.5509953703703704, 0.03546296296296296, 0.6559722222222222, 0.5693981481481482, 0.4308796296296296, 1.7248842592592593, 0.21030092592592592, 0.42974537037037036, 0.21789351851851851, 0.0021296296296296298, 0.0431712962962963, 0.14756944444444445, 1.582638888888889, 1.008912037037037, 0.6623611111111111, 2.2690046296296296, 0.40347222222222223, 0.20208333333333334, 0.7291666666666666, 0.20277777777777778, 0.1076388888888889, 0.09043981481481482, 0.06719907407407408, 0.001388888888888889, 0.19236111111111112, 0.03726851851851852, 0.004675925925925926, 0.0004166666666666667, 0.0002777777777777778, 0.0636111111111111, 0.12606481481481482, 0.0037962962962962963, 0.13280092592592593, 0.433125, 0.1389351851851852, 0.04884259259259259, 0.20601851851851852, 0.010648148148148148, 0.14502314814814815, 0.1175925925925926, 0.0017824074074074075, 0.13502314814814814, 0.035416666666666666, 0.021875, 0.001388888888888889, 0.0006944444444444445, 0.07430555555555556, 0.12916666666666668, 0.034027777777777775, 0.6368055555555555, 0.7145833333333333, 0.2039351851851852, 1.1926157407407407, 0.597199074074074 ], "type_event": [ 3, 0, 7, 11, 0, 0, 6, 7, 7, 7, 9, 7, 0, 7, 3, 0, 7, 7, 7, 3, 4, 3, 8, 6, 7, 9, 7, 0, 0, 0, 0, 0, 11, 0, 11, 0, 0, 7, 0, 7, 2, 7, 0, 0, 7, 0, 7, 7, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 7, 3 ], "type_text": [ "Deceptive Practice", "Theft", "Battery", "Robbery", "Theft", "Theft", "Criminal Damage", "Battery", "Battery", "Battery", "Assault", "Battery", "Theft", "Battery", "Deceptive Practice", "Theft", "Battery", "Battery", "Battery", "Deceptive Practice", "Motor Vehicle Theft", "Deceptive Practice", "Other Offense", "Criminal Damage", "Battery", "Assault", "Battery", "Theft", "Theft", "Theft", "Theft", "Theft", "Robbery", "Theft", "Robbery", "Theft", "Theft", "Battery", "Theft", "Battery", "Sex Offense", "Battery", "Theft", "Theft", "Battery", "Theft", "Battery", "Battery", "Battery", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Battery", "Battery", "Deceptive Practice" ], "description": "The sequence of crime incidents shows a pattern where various types of crimes occur over time, with notable clustering of specific crime types. Initially, deceptive practices and thefts appear early in the timeline, followed by a significant increase in battery incidents around the third to fifth months. As the timeline progresses, thefts become increasingly frequent, particularly in the later months, while batteries also remain prevalent. Deceptive practices re-emerge towards the end of the sequence, indicating a varied but concentrated pattern of crime types throughout the observed period." }, { "dim_process": 20, "seq_idx": 80, "seq_len": 39, "time_since_start": [ 0.0, 1.5863194444444444, 1.8919444444444444, 2.167476851851852, 2.4993055555555554, 2.600023148148148, 3.2535416666666666, 3.5660416666666666, 4.087523148148148, 4.385046296296296, 4.413263888888889, 5.504236111111111, 6.116041666666667, 6.339652777777777, 7.336064814814815, 8.378541666666667, 9.911180555555555, 10.232939814814815, 10.481666666666667, 10.643819444444444, 10.778773148148149, 12.571597222222222, 12.572523148148148, 13.037685185185186, 14.178425925925925, 15.403032407407407, 15.6525, 15.925069444444444, 16.968819444444446, 17.19335648148148, 18.222986111111112, 18.659560185185185, 19.264606481481483, 19.453958333333333, 20.24659722222222, 20.850069444444443, 22.141041666666666, 22.814097222222223, 23.70076388888889 ], "time_since_last_event": [ 0.0, 1.5863194444444444, 0.305625, 0.2755324074074074, 0.3318287037037037, 0.1007175925925926, 0.6535185185185185, 0.3125, 0.5214814814814814, 0.2975231481481482, 0.028217592592592593, 1.0909722222222222, 0.6118055555555556, 0.22361111111111112, 0.9964120370370371, 1.042476851851852, 1.5326388888888889, 0.32175925925925924, 0.24872685185185187, 0.16215277777777778, 0.13495370370370371, 1.7928240740740742, 0.000925925925925926, 0.465162037037037, 1.1407407407407408, 1.2246064814814814, 0.2494675925925926, 0.2725694444444444, 1.04375, 0.22453703703703703, 1.0296296296296297, 0.43657407407407406, 0.6050462962962962, 0.18935185185185185, 0.7926388888888889, 0.6034722222222222, 1.2909722222222222, 0.6730555555555555, 0.8866666666666667 ], "type_event": [ 9, 6, 6, 7, 6, 7, 9, 5, 16, 0, 7, 6, 4, 8, 6, 4, 11, 11, 4, 11, 11, 11, 11, 11, 11, 8, 7, 12, 0, 1, 4, 11, 11, 7, 6, 0, 0, 7, 6 ], "type_text": [ "Assault", "Criminal Damage", "Criminal Damage", "Battery", "Criminal Damage", "Battery", "Assault", "Criminal Trespass", "Narcotics", "Theft", "Battery", "Criminal Damage", "Motor Vehicle Theft", "Other Offense", "Criminal Damage", "Motor Vehicle Theft", "Robbery", "Robbery", "Motor Vehicle Theft", "Robbery", "Robbery", "Robbery", "Robbery", "Robbery", "Robbery", "Other Offense", "Battery", "Arson", "Theft", "Weapons Violation", "Motor Vehicle Theft", "Robbery", "Robbery", "Battery", "Criminal Damage", "Theft", "Theft", "Battery", "Criminal Damage" ], "description": "The sequence of crime incidents begins with assaults and criminal damage occurring within the first few months. Battery incidents appear shortly after, followed by a mix of thefts, narcotics, and criminal trespass. As time progresses, there is a notable increase in robbery incidents clustered around the later months, particularly between the 9th and 15th months. Additionally, criminal damage remains a recurring event throughout the timeline, with several occurrences spread out intermittently. The sequence also includes a few instances of motor vehicle theft and other offenses, with the latter part of the timeline showing a rise in various crime types, including weapons violations and arson." }, { "dim_process": 20, "seq_idx": 81, "seq_len": 81, "time_since_start": [ 0.0, 0.45689814814814816, 0.5819444444444445, 1.000949074074074, 1.293287037037037, 1.3838194444444445, 1.523611111111111, 1.6327546296296296, 1.8822916666666667, 2.410416666666667, 3.878935185185185, 4.259398148148148, 4.288287037037037, 4.932037037037037, 5.0848611111111115, 6.435069444444444, 6.468055555555556, 6.747569444444444, 6.781782407407407, 7.144791666666666, 7.464097222222223, 7.530787037037037, 7.7503472222222225, 8.218194444444444, 8.36111111111111, 8.491666666666667, 8.785555555555556, 8.89611111111111, 8.922222222222222, 8.95, 9.783680555555556, 10.073333333333334, 10.277546296296297, 10.761111111111111, 11.497222222222222, 11.819212962962963, 12.188425925925927, 12.877685185185186, 12.939768518518518, 12.952777777777778, 13.094444444444445, 13.317152777777778, 13.395416666666666, 13.817361111111111, 13.9625, 14.06423611111111, 14.207083333333333, 14.232407407407408, 14.511458333333334, 15.242662037037038, 15.431898148148148, 15.442569444444445, 16.691875, 16.742175925925928, 17.054166666666667, 17.062314814814815, 17.252546296296295, 18.02516203703704, 18.42111111111111, 18.61974537037037, 18.647222222222222, 18.688217592592594, 18.852430555555557, 18.985300925925927, 19.058796296296297, 19.11076388888889, 19.131666666666668, 19.618587962962962, 20.284259259259258, 20.34027777777778, 20.40747685185185, 20.419953703703705, 20.638541666666665, 20.649722222222223, 20.668055555555554, 21.15277777777778, 21.989675925925926, 22.307060185185186, 22.44159722222222, 22.64027777777778, 22.860555555555557 ], "time_since_last_event": [ 0.0, 0.45689814814814816, 0.1250462962962963, 0.41900462962962964, 0.29233796296296294, 0.09053240740740741, 0.13979166666666668, 0.10914351851851851, 0.24953703703703703, 0.528125, 1.4685185185185186, 0.38046296296296295, 0.028888888888888888, 0.64375, 0.15282407407407408, 1.3502083333333332, 0.03298611111111111, 0.2795138888888889, 0.034212962962962966, 0.36300925925925925, 0.31930555555555556, 0.06668981481481481, 0.2195601851851852, 0.46784722222222225, 0.14291666666666666, 0.13055555555555556, 0.29388888888888887, 0.11055555555555556, 0.026111111111111113, 0.027777777777777776, 0.8336805555555555, 0.28965277777777776, 0.20421296296296296, 0.48356481481481484, 0.7361111111111112, 0.32199074074074074, 0.36921296296296297, 0.6892592592592592, 0.06208333333333333, 0.013009259259259259, 0.14166666666666666, 0.22270833333333334, 0.07826388888888888, 0.42194444444444446, 0.1451388888888889, 0.10173611111111111, 0.1428472222222222, 0.025324074074074075, 0.27905092592592595, 0.7312037037037037, 0.1892361111111111, 0.010671296296296297, 1.2493055555555554, 0.05030092592592592, 0.31199074074074074, 0.008148148148148147, 0.19023148148148147, 0.7726157407407407, 0.3959490740740741, 0.19863425925925926, 0.027476851851851853, 0.04099537037037037, 0.16421296296296295, 0.13287037037037036, 0.07349537037037036, 0.05196759259259259, 0.020902777777777777, 0.48692129629629627, 0.6656712962962963, 0.056018518518518516, 0.06719907407407408, 0.012476851851851852, 0.21858796296296296, 0.011180555555555555, 0.018333333333333333, 0.4847222222222222, 0.8368981481481481, 0.3173842592592593, 0.13453703703703704, 0.19868055555555555, 0.22027777777777777 ], "type_event": [ 10, 9, 0, 10, 6, 7, 11, 6, 7, 7, 5, 1, 6, 7, 14, 10, 0, 6, 11, 9, 11, 7, 9, 6, 8, 11, 9, 11, 4, 3, 9, 16, 10, 3, 4, 9, 5, 8, 16, 6, 13, 7, 7, 9, 4, 7, 7, 6, 6, 7, 7, 16, 19, 11, 16, 9, 16, 9, 0, 16, 11, 16, 16, 16, 7, 7, 10, 16, 18, 7, 16, 6, 11, 11, 6, 10, 9, 7, 6, 8, 7 ], "type_text": [ "Burglary", "Assault", "Theft", "Burglary", "Criminal Damage", "Battery", "Robbery", "Criminal Damage", "Battery", "Battery", "Criminal Trespass", "Weapons Violation", "Criminal Damage", "Battery", "Criminal Sexual Assault", "Burglary", "Theft", "Criminal Damage", "Robbery", "Assault", "Robbery", "Battery", "Assault", "Criminal Damage", "Other Offense", "Robbery", "Assault", "Robbery", "Motor Vehicle Theft", "Deceptive Practice", "Assault", "Narcotics", "Burglary", "Deceptive Practice", "Motor Vehicle Theft", "Assault", "Criminal Trespass", "Other Offense", "Narcotics", "Criminal Damage", "Offense Involving Children", "Battery", "Battery", "Assault", "Motor Vehicle Theft", "Battery", "Battery", "Criminal Damage", "Criminal Damage", "Battery", "Battery", "Narcotics", "Homicide", "Robbery", "Narcotics", "Assault", "Narcotics", "Assault", "Theft", "Narcotics", "Robbery", "Narcotics", "Narcotics", "Narcotics", "Battery", "Battery", "Burglary", "Narcotics", "Public Peace Violation", "Battery", "Narcotics", "Criminal Damage", "Robbery", "Robbery", "Criminal Damage", "Burglary", "Assault", "Battery", "Criminal Damage", "Other Offense", "Battery" ], "description": "The sequence of crime incidents shows a pattern where burglary and various forms of assault occur relatively early in the timeline, with multiple incidents of battery following closely. Criminal damage appears frequently throughout the sequence, often clustered around the same time as other violent crimes. As the timeline progresses, there is a noticeable increase in narcotics-related offenses and robberies, particularly in the later months. Additionally, the sequence culminates in a homicide, indicating a significant escalation in the severity of incidents." }, { "dim_process": 20, "seq_idx": 82, "seq_len": 67, "time_since_start": [ 0.0, 0.9335185185185185, 0.9966898148148148, 1.070486111111111, 1.435, 2.221273148148148, 2.246875, 2.291712962962963, 2.384375, 2.4218055555555558, 2.459351851851852, 2.660277777777778, 2.6996527777777777, 2.7589814814814817, 2.9770833333333333, 3.064236111111111, 3.7038194444444446, 3.736435185185185, 3.932986111111111, 3.972337962962963, 4.010300925925926, 4.420486111111111, 4.487152777777778, 4.532986111111111, 4.549652777777778, 4.609375, 5.012662037037037, 5.570763888888889, 6.66650462962963, 7.350925925925926, 7.643125, 7.801944444444445, 8.064930555555556, 9.301967592592593, 9.769097222222221, 9.825810185185185, 10.222268518518518, 10.280208333333333, 11.460532407407408, 12.588541666666666, 12.614930555555556, 13.17824074074074, 13.866319444444445, 14.815648148148147, 14.957523148148148, 15.07800925925926, 16.80384259259259, 16.813541666666666, 17.13576388888889, 18.588541666666668, 18.603773148148147, 19.053819444444443, 20.103148148148147, 21.15564814814815, 21.32865740740741, 21.366319444444443, 21.934375, 21.959375, 22.141828703703705, 22.916782407407407, 23.014351851851853, 23.01449074074074, 23.063541666666666, 23.3875, 23.45196759259259, 23.75960648148148, 23.863541666666666 ], "time_since_last_event": [ 0.0, 0.9335185185185185, 0.0631712962962963, 0.07379629629629629, 0.3645138888888889, 0.7862731481481482, 0.02560185185185185, 0.04483796296296296, 0.09266203703703704, 0.03743055555555556, 0.03754629629629629, 0.20092592592592592, 0.039375, 0.0593287037037037, 0.21810185185185185, 0.08715277777777777, 0.6395833333333333, 0.032615740740740744, 0.19655092592592593, 0.03935185185185185, 0.03796296296296296, 0.4101851851851852, 0.06666666666666667, 0.04583333333333333, 0.016666666666666666, 0.059722222222222225, 0.40328703703703705, 0.5581018518518519, 1.0957407407407407, 0.6844212962962963, 0.2921990740740741, 0.15881944444444446, 0.2629861111111111, 1.237037037037037, 0.4671296296296296, 0.056712962962962965, 0.39645833333333336, 0.05793981481481481, 1.1803240740740741, 1.1280092592592592, 0.02638888888888889, 0.5633101851851852, 0.6880787037037037, 0.9493287037037037, 0.141875, 0.12048611111111111, 1.7258333333333333, 0.009699074074074074, 0.32222222222222224, 1.4527777777777777, 0.015231481481481481, 0.4500462962962963, 1.0493287037037038, 1.0525, 0.17300925925925925, 0.037662037037037036, 0.5680555555555555, 0.025, 0.1824537037037037, 0.7749537037037038, 0.09756944444444444, 0.0001388888888888889, 0.04905092592592593, 0.32395833333333335, 0.06446759259259259, 0.3076388888888889, 0.10393518518518519 ], "type_event": [ 0, 6, 11, 6, 11, 9, 0, 10, 6, 6, 7, 7, 6, 19, 10, 10, 0, 6, 6, 7, 6, 9, 6, 0, 6, 6, 6, 1, 7, 16, 11, 7, 7, 11, 4, 6, 7, 11, 0, 9, 5, 4, 3, 16, 7, 6, 6, 0, 9, 10, 7, 7, 7, 16, 1, 4, 0, 7, 7, 8, 5, 5, 14, 16, 5, 16, 18 ], "type_text": [ "Theft", "Criminal Damage", "Robbery", "Criminal Damage", "Robbery", "Assault", "Theft", "Burglary", "Criminal Damage", "Criminal Damage", "Battery", "Battery", "Criminal Damage", "Homicide", "Burglary", "Burglary", "Theft", "Criminal Damage", "Criminal Damage", "Battery", "Criminal Damage", "Assault", "Criminal Damage", "Theft", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Weapons Violation", "Battery", "Narcotics", "Robbery", "Battery", "Battery", "Robbery", "Motor Vehicle Theft", "Criminal Damage", "Battery", "Robbery", "Theft", "Assault", "Criminal Trespass", "Motor Vehicle Theft", "Deceptive Practice", "Narcotics", "Battery", "Criminal Damage", "Criminal Damage", "Theft", "Assault", "Burglary", "Battery", "Battery", "Battery", "Narcotics", "Weapons Violation", "Motor Vehicle Theft", "Theft", "Battery", "Battery", "Other Offense", "Criminal Trespass", "Criminal Trespass", "Criminal Sexual Assault", "Narcotics", "Criminal Trespass", "Narcotics", "Public Peace Violation" ], "description": "The sequence of crime incidents shows a variety of crime types occurring over time, with notable clustering of certain offenses. Initially, theft and criminal damage are reported, followed by a mix of robbery, assault, and battery incidents within the first few months. As time progresses, there is a noticeable increase in criminal damage incidents, particularly around the two to four-month mark. Later in the timeline, narcotics offenses and weapons violations emerge, alongside a consistent presence of battery and theft incidents. The sequence also indicates that criminal trespass and other offenses appear towards the end, suggesting a potential shift in the types of crimes reported over time." }, { "dim_process": 20, "seq_idx": 83, "seq_len": 53, "time_since_start": [ 0.0, 0.7643518518518518, 1.0546296296296296, 1.0966666666666667, 1.245486111111111, 1.245648148148148, 1.2662037037037037, 1.455324074074074, 1.4966435185185185, 2.2782407407407406, 2.403842592592593, 2.544560185185185, 2.7447453703703704, 3.939189814814815, 4.561041666666667, 4.5633333333333335, 4.760717592592592, 4.895138888888889, 6.541550925925926, 6.662847222222222, 6.966111111111111, 8.17212962962963, 9.624490740740741, 9.69837962962963, 9.731435185185186, 9.800810185185185, 11.77025462962963, 12.033101851851852, 13.85962962962963, 13.997569444444444, 14.340856481481481, 14.350277777777778, 14.999282407407408, 15.301782407407407, 15.568518518518518, 16.03625, 16.370162037037037, 17.523032407407406, 17.73865740740741, 18.742013888888888, 19.16638888888889, 19.481828703703705, 19.65127314814815, 19.97337962962963, 20.39525462962963, 20.878125, 20.90150462962963, 21.590393518518518, 21.692337962962963, 21.73472222222222, 23.69101851851852, 23.96886574074074, 24.07025462962963 ], "time_since_last_event": [ 0.0, 0.7643518518518518, 0.2902777777777778, 0.04203703703703704, 0.14881944444444445, 0.00016203703703703703, 0.020555555555555556, 0.18912037037037038, 0.04131944444444444, 0.7815972222222223, 0.12560185185185185, 0.1407175925925926, 0.2001851851851852, 1.1944444444444444, 0.6218518518518519, 0.0022916666666666667, 0.19738425925925926, 0.1344212962962963, 1.646412037037037, 0.12129629629629629, 0.3032638888888889, 1.2060185185185186, 1.4523611111111112, 0.07388888888888889, 0.03305555555555555, 0.069375, 1.9694444444444446, 0.26284722222222223, 1.8265277777777778, 0.13793981481481482, 0.34328703703703706, 0.009421296296296296, 0.6490046296296297, 0.3025, 0.2667361111111111, 0.46773148148148147, 0.33391203703703703, 1.1528703703703704, 0.215625, 1.0033564814814815, 0.424375, 0.3154398148148148, 0.16944444444444445, 0.32210648148148147, 0.421875, 0.4828703703703704, 0.02337962962962963, 0.6888888888888889, 0.10194444444444445, 0.04238425925925926, 1.9562962962962962, 0.27784722222222225, 0.10138888888888889 ], "type_event": [ 7, 7, 9, 8, 7, 7, 0, 7, 0, 0, 7, 6, 6, 16, 7, 1, 7, 7, 9, 6, 7, 6, 1, 4, 1, 16, 7, 7, 1, 7, 7, 10, 1, 1, 9, 11, 10, 6, 0, 4, 1, 6, 7, 9, 4, 7, 0, 0, 4, 8, 7, 8, 4 ], "type_text": [ "Battery", "Battery", "Assault", "Other Offense", "Battery", "Battery", "Theft", "Battery", "Theft", "Theft", "Battery", "Criminal Damage", "Criminal Damage", "Narcotics", "Battery", "Weapons Violation", "Battery", "Battery", "Assault", "Criminal Damage", "Battery", "Criminal Damage", "Weapons Violation", "Motor Vehicle Theft", "Weapons Violation", "Narcotics", "Battery", "Battery", "Weapons Violation", "Battery", "Battery", "Burglary", "Weapons Violation", "Weapons Violation", "Assault", "Robbery", "Burglary", "Criminal Damage", "Theft", "Motor Vehicle Theft", "Weapons Violation", "Criminal Damage", "Battery", "Assault", "Motor Vehicle Theft", "Battery", "Theft", "Theft", "Motor Vehicle Theft", "Other Offense", "Battery", "Other Offense", "Motor Vehicle Theft" ], "description": "The sequence of crime incidents shows a high frequency of Battery incidents occurring early in the timeline, particularly within the first two years. Theft incidents also appear consistently throughout, with a noticeable increase around the second year. Criminal Damage and Weapons Violations emerge later in the sequence, particularly after the two-year mark, while Assaults and Other Offenses appear sporadically. Motor Vehicle Theft incidents cluster towards the end of the timeline, indicating a potential increase in this crime type in the later months." }, { "dim_process": 20, "seq_idx": 84, "seq_len": 43, "time_since_start": [ 0.0, 0.0008564814814814815, 0.5048611111111111, 0.63125, 0.7033564814814814, 0.9694444444444444, 1.5307870370370371, 2.80625, 3.004166666666667, 4.794050925925926, 5.674305555555556, 6.998379629629629, 8.409027777777778, 8.802777777777777, 9.867476851851851, 10.203472222222222, 10.20625, 10.228472222222223, 10.436296296296296, 10.897916666666667, 10.900694444444444, 11.801435185185186, 11.801736111111111, 11.83611111111111, 11.936921296296296, 13.033101851851852, 13.163032407407407, 13.341898148148148, 13.502777777777778, 13.668055555555556, 14.234375, 14.764583333333333, 16.13888888888889, 16.199305555555554, 17.135185185185186, 17.455092592592592, 17.804861111111112, 19.267708333333335, 19.87847222222222, 20.102083333333333, 21.272222222222222, 21.272916666666667, 22.24303240740741 ], "time_since_last_event": [ 0.0, 0.0008564814814814815, 0.5040046296296297, 0.12638888888888888, 0.07210648148148148, 0.26608796296296294, 0.5613425925925926, 1.275462962962963, 0.19791666666666666, 1.7898842592592592, 0.8802546296296296, 1.3240740740740742, 1.410648148148148, 0.39375, 1.064699074074074, 0.33599537037037036, 0.002777777777777778, 0.022222222222222223, 0.20782407407407408, 0.46162037037037035, 0.002777777777777778, 0.9007407407407407, 0.00030092592592592595, 0.034375, 0.10081018518518518, 1.0961805555555555, 0.12993055555555555, 0.17886574074074074, 0.16087962962962962, 0.16527777777777777, 0.5663194444444445, 0.5302083333333333, 1.3743055555555554, 0.06041666666666667, 0.9358796296296297, 0.3199074074074074, 0.34976851851851853, 1.4628472222222222, 0.6107638888888889, 0.22361111111111112, 1.1701388888888888, 0.0006944444444444445, 0.9701157407407407 ], "type_event": [ 0, 0, 0, 0, 3, 0, 0, 10, 0, 4, 7, 0, 3, 0, 0, 0, 4, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 9, 7, 0, 11, 4, 0, 4, 0, 6, 0, 7 ], "type_text": [ "Theft", "Theft", "Theft", "Theft", "Deceptive Practice", "Theft", "Theft", "Burglary", "Theft", "Motor Vehicle Theft", "Battery", "Theft", "Deceptive Practice", "Theft", "Theft", "Theft", "Motor Vehicle Theft", "Criminal Damage", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Criminal Damage", "Theft", "Theft", "Theft", "Theft", "Assault", "Battery", "Theft", "Robbery", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Theft", "Criminal Damage", "Theft", "Battery" ], "description": "The sequence of crime incidents begins with a cluster of thefts occurring in the initial months, with multiple reports concentrated in the first year. As time progresses, other crime types such as deceptive practices, burglary, and motor vehicle theft appear intermittently, with some clustering around specific months. Notably, theft remains the most frequent incident throughout the timeline, with a resurgence in reports occurring in the later months. Additionally, incidents of battery and robbery emerge as the timeline advances, indicating a gradual diversification of crime types over time." }, { "dim_process": 20, "seq_idx": 85, "seq_len": 33, "time_since_start": [ 0.0, 0.6237268518518518, 3.002083333333333, 7.49212962962963, 7.695138888888889, 7.865277777777778, 8.755555555555556, 8.844444444444445, 8.85173611111111, 9.45138888888889, 9.68113425925926, 9.85763888888889, 12.01736111111111, 13.304166666666667, 13.418055555555556, 13.533333333333333, 13.745486111111111, 15.671574074074075, 16.2, 16.236458333333335, 16.5125, 17.666180555555556, 17.865277777777777, 19.629166666666666, 19.96527777777778, 20.172569444444445, 20.221712962962965, 21.405231481481483, 21.63625, 21.718055555555555, 21.879166666666666, 21.931944444444444, 22.788425925925925 ], "time_since_last_event": [ 0.0, 0.6237268518518518, 2.3783564814814815, 4.490046296296296, 0.20300925925925925, 0.1701388888888889, 0.8902777777777777, 0.08888888888888889, 0.007291666666666667, 0.5996527777777778, 0.22974537037037038, 0.17650462962962962, 2.1597222222222223, 1.2868055555555555, 0.11388888888888889, 0.11527777777777778, 0.21215277777777777, 1.926087962962963, 0.528425925925926, 0.036458333333333336, 0.2760416666666667, 1.1536805555555556, 0.19909722222222223, 1.7638888888888888, 0.33611111111111114, 0.20729166666666668, 0.04914351851851852, 1.1835185185185184, 0.2310185185185185, 0.08180555555555556, 0.16111111111111112, 0.05277777777777778, 0.8564814814814815 ], "type_event": [ 3, 3, 3, 0, 0, 0, 3, 0, 11, 11, 7, 0, 7, 6, 9, 0, 8, 0, 0, 7, 0, 0, 0, 0, 8, 9, 11, 6, 8, 6, 0, 0, 11 ], "type_text": [ "Deceptive Practice", "Deceptive Practice", "Deceptive Practice", "Theft", "Theft", "Theft", "Deceptive Practice", "Theft", "Robbery", "Robbery", "Battery", "Theft", "Battery", "Criminal Damage", "Assault", "Theft", "Other Offense", "Theft", "Theft", "Battery", "Theft", "Theft", "Theft", "Theft", "Other Offense", "Assault", "Robbery", "Criminal Damage", "Other Offense", "Criminal Damage", "Theft", "Theft", "Robbery" ], "description": "The sequence of crime incidents begins with a series of Deceptive Practices occurring within the first few months. This is followed by a notable cluster of Theft incidents that emerge around the 7-month mark and continue to dominate the timeline, with several occurrences in close succession. As time progresses, other crime types such as Robbery, Battery, and Criminal Damage appear, often interspersed with additional Theft incidents. The pattern shows that Theft remains the most frequent type of crime throughout the timeline, while other offenses tend to occur later, with some clustering observed in the later months." }, { "dim_process": 20, "seq_idx": 86, "seq_len": 54, "time_since_start": [ 0.0, 0.038796296296296294, 0.1267361111111111, 0.1949537037037037, 0.5229166666666667, 1.1883333333333332, 1.3274537037037037, 1.3775694444444444, 1.6898842592592593, 1.8169907407407409, 2.234050925925926, 2.299074074074074, 3.904861111111111, 4.6930555555555555, 4.855810185185185, 6.574328703703704, 6.6184722222222225, 6.752662037037037, 6.7972222222222225, 7.48587962962963, 7.69900462962963, 8.20138888888889, 8.252777777777778, 8.524328703703704, 8.912268518518518, 9.204375, 9.636898148148148, 9.715277777777779, 11.533333333333333, 12.472916666666666, 12.801574074074074, 13.009722222222223, 14.20324074074074, 15.307638888888889, 16.469791666666666, 16.645208333333333, 16.827083333333334, 18.50138888888889, 18.626203703703705, 18.744050925925926, 18.872222222222224, 19.22127314814815, 19.289166666666667, 19.628287037037037, 20.50486111111111, 20.551388888888887, 20.951921296296295, 21.055208333333333, 21.321296296296296, 21.806944444444444, 21.86550925925926, 22.093333333333334, 22.210532407407406, 22.29851851851852 ], "time_since_last_event": [ 0.0, 0.038796296296296294, 0.08793981481481482, 0.0682175925925926, 0.32796296296296296, 0.6654166666666667, 0.13912037037037037, 0.05011574074074074, 0.3123148148148148, 0.1271064814814815, 0.4170601851851852, 0.06502314814814815, 1.605787037037037, 0.7881944444444444, 0.16275462962962964, 1.7185185185185186, 0.04414351851851852, 0.13418981481481482, 0.04456018518518518, 0.6886574074074074, 0.213125, 0.5023842592592592, 0.05138888888888889, 0.27155092592592595, 0.3879398148148148, 0.2921064814814815, 0.43252314814814813, 0.07837962962962963, 1.8180555555555555, 0.9395833333333333, 0.3286574074074074, 0.20814814814814814, 1.1935185185185184, 1.1043981481481482, 1.1621527777777778, 0.17541666666666667, 0.181875, 1.6743055555555555, 0.12481481481481481, 0.11784722222222223, 0.12817129629629628, 0.3490509259259259, 0.06789351851851852, 0.33912037037037035, 0.8765740740740741, 0.04652777777777778, 0.4005324074074074, 0.10328703703703704, 0.26608796296296294, 0.48564814814814816, 0.05856481481481481, 0.22782407407407407, 0.11719907407407408, 0.08798611111111111 ], "type_event": [ 13, 6, 7, 7, 16, 16, 16, 7, 16, 7, 16, 16, 7, 10, 16, 7, 3, 16, 7, 16, 8, 0, 6, 6, 7, 9, 6, 11, 4, 7, 16, 5, 7, 4, 11, 7, 4, 7, 16, 7, 3, 16, 16, 16, 4, 3, 16, 1, 11, 7, 16, 16, 7, 16 ], "type_text": [ "Offense Involving Children", "Criminal Damage", "Battery", "Battery", "Narcotics", "Narcotics", "Narcotics", "Battery", "Narcotics", "Battery", "Narcotics", "Narcotics", "Battery", "Burglary", "Narcotics", "Battery", "Deceptive Practice", "Narcotics", "Battery", "Narcotics", "Other Offense", "Theft", "Criminal Damage", "Criminal Damage", "Battery", "Assault", "Criminal Damage", "Robbery", "Motor Vehicle Theft", "Battery", "Narcotics", "Criminal Trespass", "Battery", "Motor Vehicle Theft", "Robbery", "Battery", "Motor Vehicle Theft", "Battery", "Narcotics", "Battery", "Deceptive Practice", "Narcotics", "Narcotics", "Narcotics", "Motor Vehicle Theft", "Deceptive Practice", "Narcotics", "Weapons Violation", "Robbery", "Battery", "Narcotics", "Narcotics", "Battery", "Narcotics" ], "description": "The sequence of crime incidents shows a notable clustering of specific crime types over time. Initially, offenses involving children and criminal damage occur, followed by a series of battery incidents that appear intermittently. Narcotics offenses begin to increase significantly after the first few months and continue to be reported frequently, often in clusters. Burglary and various theft-related crimes emerge later in the timeline, alongside a consistent presence of battery incidents. Deceptive practices and motor vehicle thefts also appear in the latter part of the sequence, indicating a diverse range of offenses as time progresses." }, { "dim_process": 20, "seq_idx": 87, "seq_len": 46, "time_since_start": [ 0.0, 0.44375, 1.1027777777777779, 1.1263888888888889, 3.6743055555555557, 3.9715277777777778, 4.148032407407407, 4.593912037037037, 4.890231481481481, 5.393564814814815, 5.482337962962963, 5.586805555555555, 5.685185185185185, 6.009699074074074, 6.829166666666667, 6.917314814814815, 7.138194444444444, 7.387384259259259, 7.891388888888889, 8.248125, 8.579930555555556, 8.847916666666666, 9.377083333333333, 11.494166666666667, 11.618773148148149, 11.954930555555556, 12.503472222222221, 12.503472222222221, 12.51736111111111, 12.581342592592593, 12.709722222222222, 14.175694444444444, 14.20486111111111, 15.63849537037037, 15.641666666666667, 15.919398148148149, 16.271064814814814, 16.837847222222223, 17.10884259259259, 17.18888888888889, 17.820138888888888, 18.621041666666667, 19.430810185185184, 19.584027777777777, 21.138541666666665, 21.321319444444445 ], "time_since_last_event": [ 0.0, 0.44375, 0.6590277777777778, 0.02361111111111111, 2.5479166666666666, 0.2972222222222222, 0.17650462962962962, 0.4458796296296296, 0.29631944444444447, 0.5033333333333333, 0.08877314814814814, 0.1044675925925926, 0.09837962962962964, 0.3245138888888889, 0.8194675925925926, 0.08814814814814814, 0.22087962962962962, 0.2491898148148148, 0.5040046296296297, 0.3567361111111111, 0.3318055555555556, 0.2679861111111111, 0.5291666666666667, 2.1170833333333334, 0.12460648148148148, 0.3361574074074074, 0.5485416666666667, 0.0, 0.013888888888888888, 0.06398148148148149, 0.12837962962962962, 1.4659722222222222, 0.029166666666666667, 1.4336342592592592, 0.003171296296296296, 0.27773148148148147, 0.3516666666666667, 0.5667824074074074, 0.27099537037037036, 0.0800462962962963, 0.63125, 0.8009027777777777, 0.8097685185185185, 0.1532175925925926, 1.554513888888889, 0.1827777777777778 ], "type_event": [ 6, 7, 0, 7, 9, 8, 9, 6, 6, 7, 7, 7, 4, 6, 7, 6, 4, 0, 0, 1, 1, 0, 8, 7, 6, 15, 4, 0, 4, 0, 4, 17, 2, 9, 6, 9, 9, 4, 7, 11, 7, 8, 6, 6, 9, 1 ], "type_text": [ "Criminal Damage", "Battery", "Theft", "Battery", "Assault", "Other Offense", "Assault", "Criminal Damage", "Criminal Damage", "Battery", "Battery", "Battery", "Motor Vehicle Theft", "Criminal Damage", "Battery", "Criminal Damage", "Motor Vehicle Theft", "Theft", "Theft", "Weapons Violation", "Weapons Violation", "Theft", "Other Offense", "Battery", "Criminal Damage", "Interference With Public Officer", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Stalking", "Sex Offense", "Assault", "Criminal Damage", "Assault", "Assault", "Motor Vehicle Theft", "Battery", "Robbery", "Battery", "Other Offense", "Criminal Damage", "Criminal Damage", "Assault", "Weapons Violation" ], "description": "The sequence of crime incidents shows a progression of various crime types over time, with notable clusters occurring at specific intervals. Initially, incidents such as Criminal Damage and Battery are reported within the first few months, followed by a rise in Theft and Assault incidents as time progresses. A significant increase in the frequency of Motor Vehicle Theft occurs around the one-year mark, with multiple occurrences clustered closely together. Weapons Violations also emerge later in the sequence, indicating a potential escalation in the severity of incidents as time advances. Overall, the data reflects a trend of increasing crime diversity and frequency as the months go on, with certain crime types, like Battery and Criminal Damage, appearing more consistently throughout the timeline." }, { "dim_process": 20, "seq_idx": 88, "seq_len": 70, "time_since_start": [ 0.0, 0.5394675925925926, 0.6908564814814815, 0.9552083333333333, 1.4105324074074075, 1.617013888888889, 1.867013888888889, 2.624652777777778, 2.957523148148148, 3.2260416666666667, 4.056111111111111, 4.402430555555555, 4.695833333333334, 5.013310185185185, 5.182916666666666, 5.979976851851852, 6.024907407407407, 6.417268518518519, 7.720486111111111, 7.830717592592593, 7.850694444444445, 8.124768518518518, 8.590486111111112, 9.205439814814815, 9.231944444444444, 9.716550925925926, 9.880208333333334, 9.892708333333333, 10.589421296296296, 10.857175925925926, 10.989930555555556, 11.421875, 11.858333333333333, 11.96886574074074, 12.217800925925927, 12.625, 12.785763888888889, 12.95775462962963, 13.066296296296295, 13.190231481481481, 13.391898148148147, 13.392013888888888, 13.588194444444444, 13.616944444444444, 13.64699074074074, 13.788541666666667, 13.989467592592593, 14.057291666666666, 14.319791666666667, 14.488125, 16.193402777777777, 17.026736111111113, 17.049652777777776, 17.643703703703704, 18.47048611111111, 18.92303240740741, 19.29016203703704, 19.74710648148148, 19.794097222222224, 20.168912037037035, 20.759444444444444, 20.81414351851852, 21.75337962962963, 21.960046296296298, 22.017685185185186, 22.05034722222222, 22.789583333333333, 23.121875, 23.522222222222222, 23.597569444444446 ], "time_since_last_event": [ 0.0, 0.5394675925925926, 0.15138888888888888, 0.26435185185185184, 0.45532407407407405, 0.2064814814814815, 0.25, 0.7576388888888889, 0.33287037037037037, 0.26851851851851855, 0.8300694444444444, 0.34631944444444446, 0.2934027777777778, 0.31747685185185187, 0.16960648148148147, 0.7970601851851852, 0.04493055555555556, 0.3923611111111111, 1.3032175925925926, 0.11023148148148149, 0.019976851851851853, 0.2740740740740741, 0.4657175925925926, 0.6149537037037037, 0.026504629629629628, 0.4846064814814815, 0.16365740740740742, 0.0125, 0.6967129629629629, 0.26775462962962965, 0.13275462962962964, 0.43194444444444446, 0.43645833333333334, 0.11053240740740741, 0.24893518518518518, 0.4071990740740741, 0.1607638888888889, 0.17199074074074075, 0.10854166666666666, 0.12393518518518519, 0.20166666666666666, 0.00011574074074074075, 0.19618055555555555, 0.02875, 0.030046296296296297, 0.1415509259259259, 0.20092592592592592, 0.06782407407407408, 0.2625, 0.16833333333333333, 1.7052777777777777, 0.8333333333333334, 0.022916666666666665, 0.5940509259259259, 0.8267824074074074, 0.4525462962962963, 0.36712962962962964, 0.45694444444444443, 0.04699074074074074, 0.3748148148148148, 0.5905324074074074, 0.054699074074074074, 0.9392361111111112, 0.20666666666666667, 0.05763888888888889, 0.03266203703703704, 0.7392361111111111, 0.33229166666666665, 0.40034722222222224, 0.07534722222222222 ], "type_event": [ 7, 10, 0, 7, 0, 0, 7, 9, 0, 0, 0, 9, 9, 8, 7, 0, 0, 0, 0, 7, 3, 0, 0, 0, 0, 11, 0, 0, 0, 18, 3, 0, 0, 7, 0, 0, 0, 0, 3, 3, 0, 0, 0, 0, 0, 0, 0, 9, 0, 0, 13, 7, 8, 11, 6, 0, 4, 0, 11, 6, 11, 9, 0, 0, 3, 0, 0, 0, 0, 6 ], "type_text": [ "Battery", "Burglary", "Theft", "Battery", "Theft", "Theft", "Battery", "Assault", "Theft", "Theft", "Theft", "Assault", "Assault", "Other Offense", "Battery", "Theft", "Theft", "Theft", "Theft", "Battery", "Deceptive Practice", "Theft", "Theft", "Theft", "Theft", "Robbery", "Theft", "Theft", "Theft", "Public Peace Violation", "Deceptive Practice", "Theft", "Theft", "Battery", "Theft", "Theft", "Theft", "Theft", "Deceptive Practice", "Deceptive Practice", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Assault", "Theft", "Theft", "Offense Involving Children", "Battery", "Other Offense", "Robbery", "Criminal Damage", "Theft", "Motor Vehicle Theft", "Theft", "Robbery", "Criminal Damage", "Robbery", "Assault", "Theft", "Theft", "Deceptive Practice", "Theft", "Theft", "Theft", "Theft", "Criminal Damage" ], "description": "The sequence of crime incidents shows a variety of crime types occurring over time, with a notable clustering of theft incidents, particularly in the later months. Initially, battery and burglary are reported, followed by a rise in theft incidents that become increasingly frequent. Assaults and robberies appear sporadically throughout the timeline, while deceptive practices and other offenses also emerge later in the sequence. Criminal damage incidents are noted towards the end, indicating a diverse range of crime types that evolve and change in frequency as time progresses." }, { "dim_process": 20, "seq_idx": 89, "seq_len": 37, "time_since_start": [ 0.0, 0.5640277777777778, 2.8187962962962962, 3.32125, 4.014490740740741, 4.100879629629629, 4.1367824074074075, 4.867546296296296, 4.929351851851852, 5.383055555555556, 5.867546296296296, 6.312800925925926, 6.457129629629629, 6.946134259259259, 7.056666666666667, 7.517893518518519, 7.718472222222222, 8.449259259259259, 8.84462962962963, 9.829930555555556, 10.288726851851852, 10.289722222222222, 10.824953703703704, 12.857592592592592, 12.88861111111111, 13.790462962962962, 13.854583333333334, 13.860138888888889, 14.617546296296297, 15.446319444444445, 15.823564814814814, 15.847060185185185, 17.98324074074074, 19.595324074074075, 19.64810185185185, 21.052592592592593, 21.489074074074075 ], "time_since_last_event": [ 0.0, 0.5640277777777778, 2.2547685185185187, 0.5024537037037037, 0.6932407407407407, 0.08638888888888889, 0.035902777777777777, 0.7307638888888889, 0.06180555555555556, 0.4537037037037037, 0.4844907407407407, 0.44525462962962964, 0.1443287037037037, 0.48900462962962965, 0.11053240740740741, 0.46122685185185186, 0.2005787037037037, 0.7307870370370371, 0.39537037037037037, 0.9853009259259259, 0.4587962962962963, 0.0009953703703703704, 0.5352314814814815, 2.032638888888889, 0.031018518518518518, 0.9018518518518519, 0.06412037037037037, 0.005555555555555556, 0.7574074074074074, 0.8287731481481482, 0.37724537037037037, 0.02349537037037037, 2.1361805555555557, 1.6120833333333333, 0.05277777777777778, 1.4044907407407408, 0.43648148148148147 ], "type_event": [ 16, 7, 7, 7, 7, 3, 11, 0, 0, 7, 3, 5, 7, 9, 8, 9, 7, 7, 9, 16, 7, 9, 7, 3, 9, 9, 16, 11, 7, 9, 9, 9, 7, 8, 5, 7, 9 ], "type_text": [ "Narcotics", "Battery", "Battery", "Battery", "Battery", "Deceptive Practice", "Robbery", "Theft", "Theft", "Battery", "Deceptive Practice", "Criminal Trespass", "Battery", "Assault", "Other Offense", "Assault", "Battery", "Battery", "Assault", "Narcotics", "Battery", "Assault", "Battery", "Deceptive Practice", "Assault", "Assault", "Narcotics", "Robbery", "Battery", "Assault", "Assault", "Assault", "Battery", "Other Offense", "Criminal Trespass", "Battery", "Assault" ], "description": "The sequence of crime incidents begins with narcotics offenses occurring early on, followed by a series of battery incidents that dominate the initial months. As time progresses, there is a notable increase in assaults and deceptive practices, particularly around the mid-point of the timeline. Robberies and thefts appear clustered within a few months, while other offenses and criminal trespass incidents occur later in the sequence. Overall, battery incidents are consistently reported throughout the timeline, with assaults becoming more frequent as the sequence advances." }, { "dim_process": 20, "seq_idx": 90, "seq_len": 48, "time_since_start": [ 0.0, 0.5116666666666667, 1.0809259259259258, 1.2135185185185184, 1.2408333333333332, 2.406574074074074, 2.986666666666667, 3.143611111111111, 3.57, 5.381111111111111, 7.151944444444444, 8.007152777777778, 8.100902777777778, 8.438055555555556, 8.52625, 9.575555555555555, 9.773472222222223, 10.017916666666666, 12.881574074074074, 12.934328703703704, 13.210972222222223, 13.651828703703703, 13.84925925925926, 14.489675925925926, 15.012708333333334, 15.566296296296295, 16.069305555555555, 16.433935185185184, 16.513055555555557, 17.281805555555554, 17.29013888888889, 17.482847222222222, 17.564444444444444, 18.289444444444445, 18.41699074074074, 18.547916666666666, 18.915601851851854, 19.254722222222224, 19.326527777777777, 19.37071759259259, 19.45888888888889, 19.673819444444444, 21.338055555555556, 21.395, 21.671388888888888, 22.48087962962963, 23.500625, 23.786666666666665 ], "time_since_last_event": [ 0.0, 0.5116666666666667, 0.5692592592592592, 0.1325925925925926, 0.027314814814814816, 1.1657407407407407, 0.5800925925925926, 0.15694444444444444, 0.4263888888888889, 1.8111111111111111, 1.7708333333333333, 0.8552083333333333, 0.09375, 0.3371527777777778, 0.08819444444444445, 1.0493055555555555, 0.19791666666666666, 0.24444444444444444, 2.8636574074074073, 0.05275462962962963, 0.27664351851851854, 0.4408564814814815, 0.19743055555555555, 0.6404166666666666, 0.5230324074074074, 0.553587962962963, 0.5030092592592592, 0.36462962962962964, 0.07912037037037037, 0.76875, 0.008333333333333333, 0.19270833333333334, 0.08159722222222222, 0.725, 0.1275462962962963, 0.13092592592592592, 0.36768518518518517, 0.33912037037037035, 0.07180555555555555, 0.044189814814814814, 0.0881712962962963, 0.21493055555555557, 1.664236111111111, 0.05694444444444444, 0.2763888888888889, 0.8094907407407408, 1.0197453703703703, 0.2860416666666667 ], "type_event": [ 7, 6, 7, 6, 6, 16, 6, 7, 14, 5, 0, 6, 0, 10, 9, 0, 2, 0, 0, 0, 7, 7, 7, 0, 7, 0, 11, 0, 7, 7, 11, 8, 8, 0, 9, 6, 6, 7, 0, 6, 4, 14, 7, 3, 10, 7, 9, 0 ], "type_text": [ "Battery", "Criminal Damage", "Battery", "Criminal Damage", "Criminal Damage", "Narcotics", "Criminal Damage", "Battery", "Criminal Sexual Assault", "Criminal Trespass", "Theft", "Criminal Damage", "Theft", "Burglary", "Assault", "Theft", "Sex Offense", "Theft", "Theft", "Theft", "Battery", "Battery", "Battery", "Theft", "Battery", "Theft", "Robbery", "Theft", "Battery", "Battery", "Robbery", "Other Offense", "Other Offense", "Theft", "Assault", "Criminal Damage", "Criminal Damage", "Battery", "Theft", "Criminal Damage", "Motor Vehicle Theft", "Criminal Sexual Assault", "Battery", "Deceptive Practice", "Burglary", "Battery", "Assault", "Theft" ], "description": "The sequence of crime incidents shows a varied pattern of offenses occurring over time. Initially, there is a mix of Battery and Criminal Damage incidents, which are prevalent in the first few months. As time progresses, there is a noticeable increase in Theft incidents, particularly clustered between the 7th and 19th month. Other crime types, such as Assault and Burglary, appear sporadically throughout the timeline, while Criminal Damage remains a recurring issue. The sequence also indicates a rise in more severe offenses, such as Criminal Sexual Assault and Robbery, occurring later in the timeline. Overall, there is a trend of increasing crime diversity and frequency as time advances." }, { "dim_process": 20, "seq_idx": 91, "seq_len": 31, "time_since_start": [ 0.0, 0.9344907407407408, 1.163888888888889, 1.7270833333333333, 2.1430555555555557, 2.888425925925926, 4.178888888888889, 4.449050925925926, 6.072337962962963, 6.312268518518518, 6.341087962962963, 6.411319444444445, 6.675, 6.761111111111111, 6.766666666666667, 8.268055555555556, 9.295787037037037, 10.045902777777778, 10.353472222222223, 10.56875, 11.1625, 12.006805555555555, 13.41335648148148, 15.190277777777778, 15.258333333333333, 17.2875, 18.01050925925926, 18.3125, 21.17175925925926, 21.262615740740742, 22.659953703703703 ], "time_since_last_event": [ 0.0, 0.9344907407407408, 0.22939814814814816, 0.5631944444444444, 0.41597222222222224, 0.7453703703703703, 1.290462962962963, 0.27016203703703706, 1.6232870370370371, 0.23993055555555556, 0.028819444444444446, 0.07023148148148148, 0.26368055555555553, 0.08611111111111111, 0.005555555555555556, 1.5013888888888889, 1.0277314814814815, 0.7501157407407407, 0.30756944444444445, 0.2152777777777778, 0.59375, 0.8443055555555555, 1.406550925925926, 1.7769212962962964, 0.06805555555555555, 2.029166666666667, 0.7230092592592593, 0.3019907407407407, 2.859259259259259, 0.09085648148148148, 1.397337962962963 ], "type_event": [ 10, 0, 5, 5, 11, 9, 11, 0, 11, 6, 0, 0, 3, 5, 6, 14, 0, 6, 9, 7, 0, 0, 11, 7, 9, 0, 10, 11, 0, 0, 0 ], "type_text": [ "Burglary", "Theft", "Criminal Trespass", "Criminal Trespass", "Robbery", "Assault", "Robbery", "Theft", "Robbery", "Criminal Damage", "Theft", "Theft", "Deceptive Practice", "Criminal Trespass", "Criminal Damage", "Criminal Sexual Assault", "Theft", "Criminal Damage", "Assault", "Battery", "Theft", "Theft", "Robbery", "Battery", "Assault", "Theft", "Burglary", "Robbery", "Theft", "Theft", "Theft" ], "description": "The sequence of crime incidents begins with a burglary and theft occurring within the first two months, followed by a series of criminal trespasses and a robbery. As time progresses, there is a noticeable increase in the frequency of thefts, particularly clustered between six and eleven months. Robberies also appear periodically, with a notable occurrence around the 18-month mark. The events show a mix of violent crimes, such as assault and battery, interspersed with property crimes, with theft being the most prevalent type throughout the timeline." }, { "dim_process": 20, "seq_idx": 92, "seq_len": 36, "time_since_start": [ 0.0, 0.2107175925925926, 0.6353240740740741, 1.9280787037037037, 2.0344212962962964, 2.6925925925925926, 3.035023148148148, 3.3627083333333334, 3.449375, 4.402384259259259, 5.263680555555555, 7.056273148148148, 7.116712962962963, 7.225625, 8.29775462962963, 12.00099537037037, 12.066944444444445, 14.553958333333334, 15.320439814814815, 16.00608796296296, 16.268703703703704, 16.592662037037037, 17.809837962962963, 19.075300925925927, 19.735717592592593, 20.332847222222224, 20.92877314814815, 20.929444444444446, 20.94537037037037, 21.648912037037036, 21.81798611111111, 22.057777777777776, 22.12523148148148, 22.746828703703702, 23.01074074074074, 23.119560185185186 ], "time_since_last_event": [ 0.0, 0.2107175925925926, 0.4246064814814815, 1.2927546296296297, 0.10634259259259259, 0.6581712962962963, 0.34243055555555557, 0.3276851851851852, 0.08666666666666667, 0.9530092592592593, 0.8612962962962963, 1.7925925925925925, 0.060439814814814814, 0.10891203703703704, 1.0721296296296297, 3.703240740740741, 0.06594907407407408, 2.487013888888889, 0.7664814814814814, 0.6856481481481481, 0.26261574074074073, 0.32395833333333335, 1.2171759259259258, 1.265462962962963, 0.6604166666666667, 0.5971296296296297, 0.595925925925926, 0.0006712962962962962, 0.015925925925925927, 0.7035416666666666, 0.16907407407407407, 0.23979166666666665, 0.06745370370370371, 0.6215972222222222, 0.26391203703703703, 0.10881944444444444 ], "type_event": [ 1, 8, 9, 7, 8, 6, 11, 1, 9, 11, 1, 0, 7, 1, 7, 5, 9, 11, 11, 11, 6, 0, 5, 10, 6, 11, 9, 7, 12, 0, 14, 4, 7, 4, 9, 7 ], "type_text": [ "Weapons Violation", "Other Offense", "Assault", "Battery", "Other Offense", "Criminal Damage", "Robbery", "Weapons Violation", "Assault", "Robbery", "Weapons Violation", "Theft", "Battery", "Weapons Violation", "Battery", "Criminal Trespass", "Assault", "Robbery", "Robbery", "Robbery", "Criminal Damage", "Theft", "Criminal Trespass", "Burglary", "Criminal Damage", "Robbery", "Assault", "Battery", "Arson", "Theft", "Criminal Sexual Assault", "Motor Vehicle Theft", "Battery", "Motor Vehicle Theft", "Assault", "Battery" ], "description": "The sequence of crime incidents begins with a weapons violation and other offenses occurring within the first few months. Assaults and batteries appear intermittently in the early stages, with a noticeable increase in robbery incidents starting around the four-month mark. Throughout the timeline, there are clusters of weapons violations, thefts, and criminal damage that emerge later, particularly in the second half of the sequence. Towards the end, there is a diverse range of offenses, including motor vehicle theft and criminal sexual assault, indicating a broadening of crime types as time progresses." }, { "dim_process": 20, "seq_idx": 93, "seq_len": 91, "time_since_start": [ 0.0, 0.4642361111111111, 0.5078703703703704, 0.6381944444444444, 0.9392361111111112, 1.071574074074074, 1.1098611111111112, 1.1788194444444444, 1.2641666666666667, 1.2674768518518518, 1.2809027777777777, 1.3376157407407407, 1.6734953703703703, 1.784513888888889, 2.9210648148148146, 2.9489814814814816, 3.995023148148148, 4.061458333333333, 4.654513888888889, 5.490115740740741, 5.665625, 5.712152777777778, 6.316550925925926, 6.6517129629629625, 6.910648148148148, 7.291782407407408, 7.3850694444444445, 7.840625, 8.284305555555555, 8.319930555555555, 8.619444444444444, 8.732986111111112, 8.959837962962963, 9.03923611111111, 9.543402777777779, 10.245555555555555, 10.503449074074075, 10.551018518518518, 10.719097222222222, 10.811458333333333, 11.03125, 11.319791666666667, 12.382824074074074, 12.847800925925926, 13.205555555555556, 13.640625, 13.813078703703704, 14.184606481481481, 14.482314814814815, 14.682361111111112, 14.715625, 15.05164351851852, 15.821226851851852, 16.154027777777777, 16.763310185185187, 16.92710648148148, 17.021412037037038, 17.061574074074073, 17.205925925925925, 17.25011574074074, 17.297916666666666, 17.312708333333333, 17.67210648148148, 17.67210648148148, 18.21699074074074, 18.653472222222224, 18.665625, 18.707291666666666, 19.10590277777778, 19.13201388888889, 19.554606481481482, 19.84275462962963, 20.082291666666666, 20.240625, 20.36347222222222, 20.51701388888889, 20.823449074074073, 20.96013888888889, 21.237731481481482, 21.539699074074075, 22.252430555555556, 22.33877314814815, 22.34898148148148, 22.692013888888887, 22.90787037037037, 23.020138888888887, 23.077152777777776, 23.26590277777778, 23.267337962962962, 23.319791666666667, 24.219074074074076 ], "time_since_last_event": [ 0.0, 0.4642361111111111, 0.04363425925925926, 0.13032407407407406, 0.30104166666666665, 0.13233796296296296, 0.038287037037037036, 0.06895833333333333, 0.08534722222222223, 0.003310185185185185, 0.013425925925925926, 0.056712962962962965, 0.33587962962962964, 0.11101851851851852, 1.1365509259259259, 0.027916666666666666, 1.0460416666666668, 0.06643518518518518, 0.5930555555555556, 0.8356018518518519, 0.17550925925925925, 0.04652777777777778, 0.6043981481481482, 0.33516203703703706, 0.2589351851851852, 0.38113425925925926, 0.09328703703703704, 0.45555555555555555, 0.4436805555555556, 0.035625, 0.2995138888888889, 0.11354166666666667, 0.22685185185185186, 0.07939814814814815, 0.5041666666666667, 0.7021527777777777, 0.2578935185185185, 0.04756944444444444, 0.1680787037037037, 0.09236111111111112, 0.21979166666666666, 0.28854166666666664, 1.0630324074074073, 0.46497685185185184, 0.3577546296296296, 0.43506944444444445, 0.1724537037037037, 0.3715277777777778, 0.29770833333333335, 0.2000462962962963, 0.03326388888888889, 0.3360185185185185, 0.7695833333333333, 0.3328009259259259, 0.6092824074074074, 0.1637962962962963, 0.09430555555555556, 0.04016203703703704, 0.14435185185185184, 0.044189814814814814, 0.04780092592592593, 0.014791666666666667, 0.35939814814814813, 0.0, 0.5448842592592592, 0.43648148148148147, 0.012152777777777778, 0.041666666666666664, 0.39861111111111114, 0.026111111111111113, 0.4225925925925926, 0.28814814814814815, 0.23953703703703705, 0.15833333333333333, 0.12284722222222222, 0.15354166666666666, 0.3064351851851852, 0.13668981481481482, 0.2775925925925926, 0.3019675925925926, 0.7127314814814815, 0.0863425925925926, 0.010208333333333333, 0.3430324074074074, 0.21585648148148148, 0.11226851851851852, 0.05701388888888889, 0.18875, 0.0014351851851851852, 0.052453703703703704, 0.8992824074074074 ], "type_event": [ 0, 8, 16, 0, 7, 7, 7, 3, 16, 0, 0, 9, 7, 7, 11, 7, 2, 9, 3, 7, 0, 11, 0, 11, 11, 11, 11, 0, 9, 11, 7, 7, 0, 14, 4, 7, 16, 0, 11, 8, 11, 0, 15, 1, 7, 7, 16, 1, 10, 10, 0, 15, 7, 6, 7, 9, 9, 0, 6, 11, 9, 11, 2, 0, 7, 0, 0, 0, 0, 8, 0, 15, 7, 0, 0, 0, 11, 7, 11, 9, 0, 0, 6, 11, 18, 11, 8, 3, 3, 14, 0 ], "type_text": [ "Theft", "Other Offense", "Narcotics", "Theft", "Battery", "Battery", "Battery", "Deceptive Practice", "Narcotics", "Theft", "Theft", "Assault", "Battery", "Battery", "Robbery", "Battery", "Sex Offense", "Assault", "Deceptive Practice", "Battery", "Theft", "Robbery", "Theft", "Robbery", "Robbery", "Robbery", "Robbery", "Theft", "Assault", "Robbery", "Battery", "Battery", "Theft", "Criminal Sexual Assault", "Motor Vehicle Theft", "Battery", "Narcotics", "Theft", "Robbery", "Other Offense", "Robbery", "Theft", "Interference With Public Officer", "Weapons Violation", "Battery", "Battery", "Narcotics", "Weapons Violation", "Burglary", "Burglary", "Theft", "Interference With Public Officer", "Battery", "Criminal Damage", "Battery", "Assault", "Assault", "Theft", "Criminal Damage", "Robbery", "Assault", "Robbery", "Sex Offense", "Theft", "Battery", "Theft", "Theft", "Theft", "Theft", "Other Offense", "Theft", "Interference With Public Officer", "Battery", "Theft", "Theft", "Theft", "Robbery", "Battery", "Robbery", "Assault", "Theft", "Theft", "Criminal Damage", "Robbery", "Public Peace Violation", "Robbery", "Other Offense", "Deceptive Practice", "Deceptive Practice", "Criminal Sexual Assault", "Theft" ], "description": "The sequence of crime incidents in the Chicago block shows a diverse range of offenses occurring over time, with notable clustering of certain types. Initially, theft and battery incidents are prevalent in the early months, followed by a gradual increase in robbery incidents starting around the two-month mark. As time progresses, there is a noticeable rise in both theft and robbery events, particularly in the later months, while other offenses like narcotics and assaults appear more sporadically. Additionally, there are several instances of deceptive practices and sexual offenses interspersed throughout the timeline, indicating varied criminal activity across the observed period." }, { "dim_process": 20, "seq_idx": 94, "seq_len": 118, "time_since_start": [ 0.0, 0.032060185185185185, 0.05648148148148148, 0.12546296296296297, 0.16039351851851852, 0.5086805555555556, 1.2631944444444445, 1.322685185185185, 1.5231481481481481, 1.6745601851851852, 1.867361111111111, 1.9883101851851852, 2.0246064814814817, 2.1591435185185186, 2.258402777777778, 2.2944444444444443, 2.64375, 3.0314814814814817, 3.4318287037037036, 3.497685185185185, 3.5388657407407407, 3.8966435185185184, 4.441087962962963, 5.161111111111111, 5.21275462962963, 5.2877777777777775, 5.347916666666666, 5.3933333333333335, 5.552152777777778, 5.655625, 5.661342592592592, 5.863888888888889, 6.026736111111111, 6.077685185185185, 6.164930555555555, 6.219189814814815, 6.229629629629629, 6.23287037037037, 6.406944444444444, 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19.979976851851852, 19.997222222222224, 20.053935185185185, 20.733680555555555, 20.769444444444446, 20.820833333333333, 21.29722222222222, 21.330208333333335, 21.393356481481483, 21.50023148148148, 21.842546296296295, 22.072476851851853, 22.15946759259259, 22.402314814814815, 22.801574074074075, 22.80289351851852, 23.100694444444443, 23.101388888888888, 23.393194444444443, 23.39375, 23.767708333333335, 23.816666666666666, 23.968680555555554, 24.068055555555556, 24.083333333333332, 24.12638888888889, 24.16377314814815 ], "time_since_last_event": [ 0.0, 0.032060185185185185, 0.024421296296296295, 0.06898148148148148, 0.034930555555555555, 0.34828703703703706, 0.7545138888888889, 0.05949074074074074, 0.20046296296296295, 0.15141203703703704, 0.19280092592592593, 0.12094907407407407, 0.0362962962962963, 0.13453703703703704, 0.09925925925925926, 0.036041666666666666, 0.34930555555555554, 0.38773148148148145, 0.40034722222222224, 0.06585648148148149, 0.041180555555555554, 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0, 3, 11, 3, 11, 0, 5, 8, 7, 0, 7, 0, 0, 0, 7, 7, 0, 0, 0, 11, 11, 6, 9, 10, 0, 0, 0, 5, 6, 11, 0, 11, 19, 0, 9, 0, 0, 0, 0, 0, 4, 6, 0, 0, 7, 0, 10, 6, 0, 7, 0, 6, 7, 7, 0, 0, 0, 6, 0, 3, 0, 6, 8, 4, 7, 3, 11, 0, 11, 7, 5, 0, 7, 0, 7, 0, 14, 6, 10, 6, 0, 7, 6, 0, 7, 0, 7, 11, 5, 11, 11, 16, 7, 0, 6, 0, 9, 0, 8, 7, 7, 16, 6, 0, 0, 0, 7, 0, 7, 7, 0, 8, 11, 0, 6, 4, 0 ], "type_text": [ "Theft", "Theft", "Deceptive Practice", "Robbery", "Deceptive Practice", "Robbery", "Theft", "Criminal Trespass", "Other Offense", "Battery", "Theft", "Battery", "Theft", "Theft", "Theft", "Battery", "Battery", "Theft", "Theft", "Theft", "Robbery", "Robbery", "Criminal Damage", "Assault", "Burglary", "Theft", "Theft", "Theft", "Criminal Trespass", "Criminal Damage", "Robbery", "Theft", "Robbery", "Homicide", "Theft", "Assault", "Theft", "Theft", "Theft", "Theft", "Theft", "Motor Vehicle Theft", "Criminal Damage", "Theft", "Theft", "Battery", "Theft", "Burglary", "Criminal Damage", "Theft", "Battery", "Theft", "Criminal Damage", "Battery", "Battery", "Theft", "Theft", "Theft", "Criminal Damage", "Theft", "Deceptive Practice", "Theft", "Criminal Damage", "Other Offense", "Motor Vehicle Theft", "Battery", "Deceptive Practice", "Robbery", "Theft", "Robbery", "Battery", "Criminal Trespass", "Theft", "Battery", "Theft", "Battery", "Theft", "Criminal Sexual Assault", "Criminal Damage", "Burglary", "Criminal Damage", "Theft", "Battery", "Criminal Damage", "Theft", "Battery", "Theft", "Battery", "Robbery", "Criminal Trespass", "Robbery", "Robbery", "Narcotics", "Battery", "Theft", "Criminal Damage", "Theft", "Assault", "Theft", "Other Offense", "Battery", "Battery", "Narcotics", "Criminal Damage", "Theft", "Theft", "Theft", "Battery", "Theft", "Battery", "Battery", "Theft", "Other Offense", "Robbery", "Theft", "Criminal Damage", "Motor Vehicle Theft", "Theft" ], "description": "The sequence of crime incidents shows a high frequency of theft-related offenses, particularly concentrated in the earlier months and continuing throughout the timeline. Robberies appear more sporadically, with clusters observed at various intervals, particularly around the 3 to 6-month mark and again at the 19-month mark. Battery incidents also show a noticeable presence, with occurrences increasing in frequency over time. Criminal damage and other offenses are distributed throughout the sequence but tend to cluster in specific periods, particularly in the latter half of the timeline. Overall, theft remains the predominant crime type, while other offenses show varied patterns of occurrence." }, { "dim_process": 20, "seq_idx": 95, "seq_len": 47, "time_since_start": [ 0.0, 1.617361111111111, 2.376388888888889, 2.6594212962962964, 2.8060185185185187, 3.267361111111111, 4.975185185185185, 5.103472222222222, 6.036574074074074, 6.502083333333333, 8.76574074074074, 9.136875, 10.223796296296296, 10.388194444444444, 11.504861111111111, 12.033333333333333, 13.208333333333334, 13.6, 13.907638888888888, 13.952083333333333, 14.075925925925926, 14.407662037037037, 14.548958333333333, 15.171875, 15.453819444444445, 16.039583333333333, 16.560416666666665, 16.72828703703704, 16.735416666666666, 16.807662037037037, 17.73099537037037, 18.040972222222223, 18.643055555555556, 18.65972222222222, 18.726736111111112, 19.17152777777778, 19.430648148148148, 20.126944444444444, 20.44236111111111, 20.81365740740741, 21.588194444444444, 21.80763888888889, 21.87, 21.96736111111111, 22.04861111111111, 23.185416666666665, 23.466319444444444 ], "time_since_last_event": [ 0.0, 1.617361111111111, 0.7590277777777777, 0.2830324074074074, 0.1465972222222222, 0.4613425925925926, 1.707824074074074, 0.12828703703703703, 0.9331018518518519, 0.46550925925925923, 2.2636574074074076, 0.37113425925925925, 1.0869212962962962, 0.16439814814814815, 1.1166666666666667, 0.5284722222222222, 1.175, 0.39166666666666666, 0.3076388888888889, 0.044444444444444446, 0.12384259259259259, 0.3317361111111111, 0.1412962962962963, 0.6229166666666667, 0.28194444444444444, 0.5857638888888889, 0.5208333333333334, 0.16787037037037036, 0.00712962962962963, 0.07224537037037038, 0.9233333333333333, 0.30997685185185186, 0.6020833333333333, 0.016666666666666666, 0.06701388888888889, 0.44479166666666664, 0.2591203703703704, 0.6962962962962963, 0.3154166666666667, 0.3712962962962963, 0.774537037037037, 0.21944444444444444, 0.06236111111111111, 0.0973611111111111, 0.08125, 1.1368055555555556, 0.2809027777777778 ], "type_event": [ 9, 0, 6, 8, 11, 7, 7, 6, 6, 4, 4, 19, 9, 0, 6, 9, 6, 6, 7, 6, 6, 6, 9, 6, 11, 4, 3, 1, 0, 4, 7, 7, 10, 0, 9, 0, 9, 9, 0, 7, 3, 4, 7, 6, 4, 3, 7 ], "type_text": [ "Assault", "Theft", "Criminal Damage", "Other Offense", "Robbery", "Battery", "Battery", "Criminal Damage", "Criminal Damage", "Motor Vehicle Theft", "Motor Vehicle Theft", "Homicide", "Assault", "Theft", "Criminal Damage", "Assault", "Criminal Damage", "Criminal Damage", "Battery", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Assault", "Criminal Damage", "Robbery", "Motor Vehicle Theft", "Deceptive Practice", "Weapons Violation", "Theft", "Motor Vehicle Theft", "Battery", "Battery", "Burglary", "Theft", "Assault", "Theft", "Assault", "Assault", "Theft", "Battery", "Deceptive Practice", "Motor Vehicle Theft", "Battery", "Criminal Damage", "Motor Vehicle Theft", "Deceptive Practice", "Battery" ], "description": "The sequence of crime incidents shows a diverse range of offenses occurring over time, with certain types clustering in specific periods. Initially, assaults and thefts appear relatively early, while criminal damage incidents begin to increase notably around the third month. Motor vehicle thefts start to emerge around the sixth month and continue to appear intermittently throughout the sequence. Notably, battery incidents cluster in the later months, particularly around the 17th to 23rd month, alongside a consistent presence of thefts and deceptive practices. Homicide is a singular event that occurs around the ninth month, standing out amidst the other offenses." }, { "dim_process": 20, "seq_idx": 96, "seq_len": 31, "time_since_start": [ 0.0, 1.101736111111111, 2.923263888888889, 3.0052083333333335, 3.0375, 3.0885416666666665, 3.967800925925926, 3.9746527777777776, 4.034027777777778, 4.207870370370371, 4.869097222222222, 4.934444444444445, 5.330208333333333, 5.975347222222222, 7.529861111111111, 8.643472222222222, 10.394791666666666, 12.284722222222221, 12.496527777777779, 13.973032407407407, 15.15960648148148, 15.531828703703704, 15.673263888888888, 16.05613425925926, 16.23321759259259, 16.452199074074073, 17.663541666666667, 17.67048611111111, 21.689583333333335, 22.528819444444444, 23.18872685185185 ], "time_since_last_event": [ 0.0, 1.101736111111111, 1.8215277777777779, 0.08194444444444444, 0.03229166666666667, 0.051041666666666666, 0.8792592592592593, 0.006851851851851852, 0.059375, 0.1738425925925926, 0.6612268518518518, 0.06534722222222222, 0.3957638888888889, 0.6451388888888889, 1.554513888888889, 1.113611111111111, 1.7513194444444444, 1.8899305555555554, 0.21180555555555555, 1.4765046296296296, 1.186574074074074, 0.37222222222222223, 0.1414351851851852, 0.38287037037037036, 0.17708333333333334, 0.21898148148148147, 1.2113425925925927, 0.006944444444444444, 4.019097222222222, 0.8392361111111111, 0.6599074074074074 ], "type_event": [ 8, 0, 3, 0, 1, 4, 9, 7, 0, 7, 0, 4, 7, 8, 0, 11, 0, 6, 6, 7, 8, 4, 1, 7, 9, 4, 0, 4, 17, 0, 6 ], "type_text": [ "Other Offense", "Theft", "Deceptive Practice", "Theft", "Weapons Violation", "Motor Vehicle Theft", "Assault", "Battery", "Theft", "Battery", "Theft", "Motor Vehicle Theft", "Battery", "Other Offense", "Theft", "Robbery", "Theft", "Criminal Damage", "Criminal Damage", "Battery", "Other Offense", "Motor Vehicle Theft", "Weapons Violation", "Battery", "Assault", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Stalking", "Theft", "Criminal Damage" ], "description": "The sequence of crime incidents begins with a variety of offenses, including theft and other offenses, occurring within the first few months. As time progresses, theft incidents appear to be the most frequent, with several occurrences clustered between the third and fourth months. There is a noticeable increase in violent crimes, such as battery and assault, around the fourth month, which continues intermittently over the following months. By the later months, incidents of motor vehicle theft and criminal damage emerge, with theft remaining a consistent presence throughout the timeline. The sequence concludes with a stalking incident, indicating a shift in the nature of offenses as time advances." }, { "dim_process": 20, "seq_idx": 97, "seq_len": 37, "time_since_start": [ 0.0, 0.3472222222222222, 0.8646759259259259, 1.4574074074074075, 1.6477777777777778, 1.8229166666666667, 5.098207947530864, 6.03587962962963, 7.204421296296296, 7.871527777777778, 8.000023148148149, 8.032638888888888, 8.08974537037037, 8.865277777777777, 9.040879629629629, 11.694444444444445, 12.05726851851852, 13.566736111111112, 14.215277777777779, 14.624768518518518, 14.801388888888889, 15.305208333333333, 15.993425925925926, 16.157592592592593, 16.47587962962963, 16.59849537037037, 17.29664351851852, 17.839814814814815, 18.169444444444444, 18.185532407407408, 18.346527777777776, 18.57465277777778, 19.815300925925925, 21.791226851851853, 22.450162037037035, 22.51912037037037, 22.614398148148148 ], "time_since_last_event": [ 0.0, 0.3472222222222222, 0.5174537037037037, 0.5927314814814815, 0.19037037037037038, 0.1751388888888889, 3.2752912808641974, 0.9376716820987654, 1.1685416666666666, 0.6671064814814814, 0.12849537037037037, 0.032615740740740744, 0.05710648148148148, 0.7755324074074074, 0.17560185185185184, 2.653564814814815, 0.3628240740740741, 1.5094675925925927, 0.6485416666666667, 0.40949074074074077, 0.17662037037037037, 0.5038194444444445, 0.6882175925925926, 0.16416666666666666, 0.31828703703703703, 0.12261574074074075, 0.6981481481481482, 0.5431712962962963, 0.3296296296296296, 0.016087962962962964, 0.16099537037037037, 0.228125, 1.2406481481481482, 1.9759259259259259, 0.6589351851851852, 0.06895833333333333, 0.09527777777777778 ], "type_event": [ 9, 0, 1, 0, 9, 7, 1, 7, 0, 7, 6, 0, 11, 6, 0, 10, 16, 1, 6, 7, 4, 9, 7, 6, 8, 1, 1, 4, 0, 5, 6, 0, 3, 9, 7, 9, 3 ], "type_text": [ "Assault", "Theft", "Weapons Violation", "Theft", "Assault", "Battery", "Weapons Violation", "Battery", "Theft", "Battery", "Criminal Damage", "Theft", "Robbery", "Criminal Damage", "Theft", "Burglary", "Narcotics", "Weapons Violation", "Criminal Damage", "Battery", "Motor Vehicle Theft", "Assault", "Battery", "Criminal Damage", "Other Offense", "Weapons Violation", "Weapons Violation", "Motor Vehicle Theft", "Theft", "Criminal Trespass", "Criminal Damage", "Theft", "Deceptive Practice", "Assault", "Battery", "Assault", "Deceptive Practice" ], "description": "The sequence of crime incidents shows a varied pattern over time, with certain crime types appearing more frequently in specific periods. Initially, assaults and thefts are reported, with a notable increase in weapons violations occurring around the 5 to 7-month mark. As time progresses, there is a clustering of thefts and criminal damage incidents between 8 and 18 months, alongside a consistent presence of battery offenses. Towards the later months, there is a rise in assaults and deceptive practices, indicating a shift in the types of incidents reported as the timeline advances. Overall, the data reflects a dynamic range of crime types with periods of heightened activity in specific categories." }, { "dim_process": 20, "seq_idx": 98, "seq_len": 36, "time_since_start": [ 0.0, 1.0956018518518518, 1.5631481481481482, 2.0524537037037036, 4.033773148148148, 4.074328703703704, 4.629976851851852, 5.1338888888888885, 5.288564814814815, 5.733009259259259, 6.097939814814815, 6.0982870370370375, 6.202337962962963, 6.227199074074074, 6.461944444444445, 6.724907407407407, 7.005277777777778, 8.453819444444445, 9.714537037037037, 9.717986111111111, 9.766550925925927, 12.219814814814814, 12.919837962962964, 13.358009259259259, 13.544490740740741, 13.762384259259258, 14.829537037037037, 15.89423611111111, 16.430069444444445, 16.565694444444443, 16.919583333333332, 17.62148148148148, 18.121898148148148, 18.134444444444444, 18.458935185185187, 18.882430555555555 ], "time_since_last_event": [ 0.0, 1.0956018518518518, 0.4675462962962963, 0.48930555555555555, 1.9813194444444444, 0.04055555555555555, 0.5556481481481481, 0.503912037037037, 0.15467592592592594, 0.4444444444444444, 0.36493055555555554, 0.00034722222222222224, 0.10405092592592592, 0.02486111111111111, 0.23474537037037038, 0.26296296296296295, 0.2803703703703704, 1.4485416666666666, 1.2607175925925926, 0.003449074074074074, 0.04856481481481482, 2.453263888888889, 0.7000231481481481, 0.4381712962962963, 0.18648148148148147, 0.21789351851851851, 1.0671527777777778, 1.064699074074074, 0.5358333333333334, 0.135625, 0.35388888888888886, 0.7018981481481481, 0.5004166666666666, 0.012546296296296297, 0.32449074074074075, 0.4234953703703704 ], "type_event": [ 9, 9, 7, 7, 19, 7, 9, 7, 8, 7, 7, 6, 12, 12, 8, 7, 1, 9, 8, 8, 0, 6, 16, 9, 19, 8, 7, 6, 16, 7, 12, 16, 6, 6, 6, 0 ], "type_text": [ "Assault", "Assault", "Battery", "Battery", "Homicide", "Battery", "Assault", "Battery", "Other Offense", "Battery", "Battery", "Criminal Damage", "Arson", "Arson", "Other Offense", "Battery", "Weapons Violation", "Assault", "Other Offense", "Other Offense", "Theft", "Criminal Damage", "Narcotics", "Assault", "Homicide", "Other Offense", "Battery", "Criminal Damage", "Narcotics", "Battery", "Arson", "Narcotics", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Theft" ], "description": "The sequence of crime incidents begins with assaults and batteries occurring in the first few months, with a notable homicide occurring around the four-month mark. As time progresses, there is a noticeable clustering of battery incidents, particularly around the six to seven-month period, alongside a few other offenses and arsons. Later in the timeline, a variety of offenses including narcotics, criminal damage, and theft emerge, with several criminal damage incidents occurring in close succession towards the end of the sequence. Overall, the events demonstrate an initial concentration of violent crimes followed by a broader range of offenses as time advances." }, { "dim_process": 20, "seq_idx": 99, "seq_len": 32, "time_since_start": [ 0.0, 0.7193287037037037, 1.1714120370370371, 1.7315046296296297, 1.7659722222222223, 1.8315972222222223, 1.8398379629629629, 1.8975694444444444, 3.2447916666666665, 3.4703703703703703, 4.107384259259259, 4.4774768518518515, 4.873009259259259, 5.348101851851852, 5.35125, 6.139930555555556, 6.935509259259259, 8.836689814814815, 9.47988425925926, 10.577430555555555, 10.800972222222223, 11.045486111111112, 11.475648148148148, 13.37574074074074, 15.803912037037037, 17.57113425925926, 19.949189814814815, 20.43002314814815, 21.467060185185186, 21.479166666666668, 23.03122685185185, 23.788541666666667 ], "time_since_last_event": [ 0.0, 0.7193287037037037, 0.45208333333333334, 0.5600925925925926, 0.03446759259259259, 0.065625, 0.008240740740740741, 0.05773148148148148, 1.3472222222222223, 0.2255787037037037, 0.6370138888888889, 0.3700925925925926, 0.3955324074074074, 0.47509259259259257, 0.003148148148148148, 0.7886805555555556, 0.7955787037037036, 1.9011805555555557, 0.6431944444444444, 1.0975462962962963, 0.22354166666666667, 0.2445138888888889, 0.43016203703703704, 1.9000925925925927, 2.4281712962962962, 1.7672222222222222, 2.3780555555555556, 0.48083333333333333, 1.037037037037037, 0.012106481481481482, 1.5520601851851852, 0.7573148148148148 ], "type_event": [ 7, 4, 11, 7, 5, 0, 7, 0, 11, 7, 7, 8, 15, 9, 6, 0, 1, 8, 6, 11, 1, 6, 1, 6, 16, 8, 7, 1, 1, 7, 0, 6 ], "type_text": [ "Battery", "Motor Vehicle Theft", "Robbery", "Battery", "Criminal Trespass", "Theft", "Battery", "Theft", "Robbery", "Battery", "Battery", "Other Offense", "Interference With Public Officer", "Assault", "Criminal Damage", "Theft", "Weapons Violation", "Other Offense", "Criminal Damage", "Robbery", "Weapons Violation", "Criminal Damage", "Weapons Violation", "Criminal Damage", "Narcotics", "Other Offense", "Battery", "Weapons Violation", "Weapons Violation", "Battery", "Theft", "Criminal Damage" ], "description": "The sequence of crime incidents begins with battery and motor vehicle theft occurring within the first few months, followed by a mix of robbery, battery, and theft incidents clustered in the early months. As time progresses, there is a noticeable increase in the variety of offenses, including several instances of criminal damage and weapons violations occurring later in the timeline. The latter part of the sequence shows a trend of repeated offenses, particularly in battery and criminal damage, indicating a pattern of escalating incidents over time. Overall, the data reflects a gradual increase in the frequency and diversity of crime types as the months advance." }, { "dim_process": 20, "seq_idx": 100, "seq_len": 67, "time_since_start": [ 0.0, 0.46435185185185185, 0.5970138888888888, 0.6681018518518519, 0.7034722222222223, 1.0641203703703703, 1.7810416666666666, 2.686111111111111, 3.3900462962962963, 4.395671296296296, 4.547685185185185, 4.862777777777778, 5.465740740740741, 5.608981481481481, 6.061226851851852, 6.3143518518518515, 6.564236111111111, 6.738657407407407, 7.023842592592593, 7.035717592592593, 7.598495370370371, 7.600347222222222, 7.726458333333333, 7.929236111111111, 8.206018518518519, 8.741435185185185, 8.999074074074073, 9.244907407407407, 9.89537037037037, 11.025462962962964, 11.141550925925927, 11.194444444444445, 12.081018518518519, 12.096643518518519, 12.473032407407407, 12.514351851851853, 12.876851851851852, 15.633796296296296, 16.003587962962964, 16.575462962962963, 16.698958333333334, 16.838657407407407, 16.957638888888887, 17.163703703703703, 17.479282407407407, 17.55648148148148, 17.63016203703704, 17.634722222222223, 17.897291666666668, 18.46099537037037, 18.61574074074074, 18.759189814814814, 18.902893518518518, 18.903703703703705, 19.17423611111111, 19.52986111111111, 19.731018518518518, 20.96097222222222, 21.003657407407406, 21.645138888888887, 22.19414351851852, 22.350069444444443, 23.124421296296298, 23.30462962962963, 23.559745370370372, 23.774745370370372, 24.13738425925926 ], "time_since_last_event": [ 0.0, 0.46435185185185185, 0.13266203703703705, 0.07108796296296296, 0.03537037037037037, 0.36064814814814816, 0.7169212962962963, 0.9050694444444445, 0.7039351851851852, 1.005625, 0.1520138888888889, 0.3150925925925926, 0.6029629629629629, 0.14324074074074075, 0.4522453703703704, 0.253125, 0.24988425925925925, 0.1744212962962963, 0.2851851851851852, 0.011875, 0.5627777777777778, 0.001851851851851852, 0.12611111111111112, 0.20277777777777778, 0.2767824074074074, 0.5354166666666667, 0.25763888888888886, 0.24583333333333332, 0.6504629629629629, 1.1300925925925926, 0.11608796296296296, 0.05289351851851852, 0.8865740740740741, 0.015625, 0.3763888888888889, 0.04131944444444444, 0.3625, 2.7569444444444446, 0.3697916666666667, 0.571875, 0.12349537037037037, 0.1396990740740741, 0.11898148148148148, 0.2060648148148148, 0.3155787037037037, 0.07719907407407407, 0.07368055555555555, 0.004560185185185185, 0.26256944444444447, 0.5637037037037037, 0.15474537037037037, 0.14344907407407406, 0.1437037037037037, 0.0008101851851851852, 0.2705324074074074, 0.355625, 0.2011574074074074, 1.2299537037037036, 0.04268518518518519, 0.6414814814814814, 0.5490046296296296, 0.1559259259259259, 0.7743518518518518, 0.18020833333333333, 0.2551157407407407, 0.215, 0.3626388888888889 ], "type_event": [ 9, 0, 0, 0, 0, 0, 3, 11, 4, 0, 3, 7, 0, 9, 0, 3, 0, 0, 4, 0, 0, 0, 0, 6, 10, 0, 3, 0, 0, 0, 0, 0, 0, 4, 0, 9, 3, 3, 4, 3, 6, 7, 0, 0, 0, 0, 7, 0, 11, 7, 0, 0, 0, 0, 0, 0, 3, 5, 0, 0, 0, 0, 0, 0, 0, 0, 3 ], "type_text": [ "Assault", "Theft", "Theft", "Theft", "Theft", "Theft", "Deceptive Practice", "Robbery", "Motor Vehicle Theft", "Theft", "Deceptive Practice", "Battery", "Theft", "Assault", "Theft", "Deceptive Practice", "Theft", "Theft", "Motor Vehicle Theft", "Theft", "Theft", "Theft", "Theft", "Criminal Damage", "Burglary", "Theft", "Deceptive Practice", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Motor Vehicle Theft", "Theft", "Assault", "Deceptive Practice", "Deceptive Practice", "Motor Vehicle Theft", "Deceptive Practice", "Criminal Damage", "Battery", "Theft", "Theft", "Theft", "Theft", "Battery", "Theft", "Robbery", "Battery", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Deceptive Practice", "Criminal Trespass", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Deceptive Practice" ], "description": "The sequence of crime incidents in the Chicago block shows a notable clustering of theft-related events, particularly in the early and later months, with a significant number occurring in the first two years. Assaults and battery incidents are interspersed throughout, with assaults appearing early on and batteries occurring more frequently in the later stages. Deceptive practices are also present at various intervals, often following thefts. Motor vehicle thefts appear sporadically, while robbery incidents are less frequent but occur at distinct intervals. Overall, the trend indicates a predominance of thefts, especially in the initial months and again towards the end of the observed period." }, { "dim_process": 20, "seq_idx": 101, "seq_len": 104, "time_since_start": [ 0.0, 0.06837962962962962, 0.07138888888888889, 0.6346990740740741, 0.8088888888888889, 0.8900694444444445, 1.0304166666666668, 1.1994907407407407, 1.301550925925926, 1.4099305555555555, 1.5656944444444445, 1.7070370370370371, 1.883888888888889, 2.109583333333333, 2.174513888888889, 2.6456944444444446, 2.937708333333333, 3.4075, 3.4075694444444444, 3.906898148148148, 4.450555555555556, 4.800740740740741, 4.836759259259259, 5.538981481481481, 5.7997453703703705, 5.872685185185185, 5.977523148148149, 5.985277777777778, 6.046388888888889, 6.177337962962963, 6.630069444444445, 7.486666666666666, 7.817222222222222, 7.937592592592592, 8.07, 8.07474537037037, 8.337893518518518, 8.564444444444444, 8.636203703703703, 8.75611111111111, 8.942916666666667, 9.07738425925926, 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20.643217592592592, 20.71875, 21.10236111111111, 21.36722222222222, 21.750555555555554, 22.345, 22.669166666666666, 22.87173611111111, 22.957916666666666, 23.972430555555555 ], "time_since_last_event": [ 0.0, 0.06837962962962962, 0.0030092592592592593, 0.5633101851851852, 0.17418981481481483, 0.08118055555555556, 0.14034722222222223, 0.16907407407407407, 0.10206018518518518, 0.10837962962962963, 0.1557638888888889, 0.1413425925925926, 0.17685185185185184, 0.22569444444444445, 0.06493055555555556, 0.47118055555555555, 0.2920138888888889, 0.46979166666666666, 6.944444444444444e-05, 0.4993287037037037, 0.5436574074074074, 0.3501851851851852, 0.03601851851851852, 0.7022222222222222, 0.2607638888888889, 0.07293981481481482, 0.10483796296296297, 0.0077546296296296295, 0.06111111111111111, 0.13094907407407408, 0.45273148148148146, 0.8565972222222222, 0.33055555555555555, 0.12037037037037036, 0.13240740740740742, 0.00474537037037037, 0.26314814814814813, 0.22655092592592593, 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0.052222222222222225, 0.08944444444444444, 0.35694444444444445, 0.09861111111111111, 0.1342361111111111, 0.23706018518518518, 0.4613425925925926, 0.09305555555555556, 0.011412037037037037, 0.07553240740740741, 0.3836111111111111, 0.2648611111111111, 0.38333333333333336, 0.5944444444444444, 0.32416666666666666, 0.20256944444444444, 0.08618055555555555, 1.014513888888889 ], "type_event": [ 9, 8, 0, 8, 0, 6, 9, 0, 9, 9, 9, 7, 4, 0, 7, 0, 9, 0, 3, 19, 0, 9, 9, 6, 0, 0, 0, 6, 6, 4, 0, 6, 0, 11, 3, 0, 7, 0, 0, 0, 0, 7, 8, 0, 0, 7, 0, 7, 9, 9, 6, 6, 0, 9, 6, 8, 7, 18, 7, 11, 9, 3, 0, 11, 0, 7, 10, 6, 9, 9, 9, 3, 0, 0, 4, 0, 0, 0, 0, 9, 0, 0, 6, 9, 9, 0, 9, 3, 6, 0, 4, 0, 8, 0, 7, 11, 3, 3, 6, 0, 7, 9, 10, 8 ], "type_text": [ "Assault", "Other Offense", "Theft", "Other Offense", "Theft", "Criminal Damage", "Assault", "Theft", "Assault", "Assault", "Assault", "Battery", "Motor Vehicle Theft", "Theft", "Battery", "Theft", "Assault", "Theft", "Deceptive Practice", "Homicide", "Theft", "Assault", "Assault", "Criminal Damage", "Theft", "Theft", "Theft", "Criminal Damage", "Criminal Damage", "Motor Vehicle Theft", "Theft", "Criminal Damage", "Theft", "Robbery", "Deceptive Practice", "Theft", "Battery", "Theft", "Theft", "Theft", "Theft", "Battery", "Other Offense", "Theft", "Theft", "Battery", "Theft", "Battery", "Assault", "Assault", "Criminal Damage", "Criminal Damage", "Theft", "Assault", "Criminal Damage", "Other Offense", "Battery", "Public Peace Violation", "Battery", "Robbery", "Assault", "Deceptive Practice", "Theft", "Robbery", "Theft", "Battery", "Burglary", "Criminal Damage", "Assault", "Assault", "Assault", "Deceptive Practice", "Theft", "Theft", "Motor Vehicle Theft", "Theft", "Theft", "Theft", "Theft", "Assault", "Theft", "Theft", "Criminal Damage", "Assault", "Assault", "Theft", "Assault", "Deceptive Practice", "Criminal Damage", "Theft", "Motor Vehicle Theft", "Theft", "Other Offense", "Theft", "Battery", "Robbery", "Deceptive Practice", "Deceptive Practice", "Criminal Damage", "Theft", "Battery", "Assault", "Burglary", "Other Offense" ], "description": "The sequence of crime incidents shows a progression of various crime types over time, with notable clusters of specific offenses. Assaults and thefts appear frequently throughout the timeline, particularly in the earlier months, while other offenses and criminal damage incidents also occur intermittently. The frequency of thefts increases significantly in the later months, with several theft incidents clustered closely together. Battery and deceptive practice offenses are also present, with some clustering towards the middle and later parts of the timeline, while homicide appears as a singular event in the earlier months. Overall, the data reflects a pattern of increasing theft incidents over time, alongside a consistent presence of assaults and other offenses." }, { "dim_process": 20, "seq_idx": 102, "seq_len": 95, "time_since_start": [ 0.0, 0.46597222222222223, 0.6399305555555556, 0.8347222222222223, 1.0905787037037038, 1.1055555555555556, 1.5744212962962962, 1.6024305555555556, 1.6618055555555555, 2.2020833333333334, 2.203009259259259, 2.238425925925926, 2.259837962962963, 2.5373842592592593, 2.73912037037037, 2.801273148148148, 3.004861111111111, 3.3409722222222222, 4.3058101851851855, 4.748055555555555, 4.8000694444444445, 4.971875, 5.1305555555555555, 5.585462962962963, 5.6409722222222225, 5.770925925925926, 5.856064814814815, 6.431273148148148, 7.013194444444444, 7.139027777777778, 7.964930555555555, 7.972685185185185, 8.174097222222223, 8.264583333333333, 8.461805555555555, 9.162847222222222, 10.379861111111111, 10.406319444444444, 10.711805555555555, 10.995833333333334, 11.163541666666667, 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11, 13, 0, 9, 9, 9, 4, 4, 8, 11, 7, 9, 9, 3, 0, 6, 9, 7, 10, 0, 3, 4, 3, 6, 5, 6, 10, 3, 3, 3, 4, 9, 0, 9, 7, 14, 10, 4, 7, 0, 0, 10, 7, 0, 0, 9, 3, 6, 0, 0, 9, 0, 9, 10, 10, 3, 4, 4, 7, 10, 0, 4, 0, 6, 0, 0, 0, 0, 9, 3, 0, 0, 0, 3, 0, 0, 7, 7, 0, 9, 0, 3, 7, 3, 7, 4, 3 ], "type_text": [ "Assault", "Motor Vehicle Theft", "Battery", "Deceptive Practice", "Theft", "Battery", "Criminal Damage", "Deceptive Practice", "Robbery", "Offense Involving Children", "Theft", "Assault", "Assault", "Assault", "Motor Vehicle Theft", "Motor Vehicle Theft", "Other Offense", "Robbery", "Battery", "Assault", "Assault", "Deceptive Practice", "Theft", "Criminal Damage", "Assault", "Battery", "Burglary", "Theft", "Deceptive Practice", "Motor Vehicle Theft", "Deceptive Practice", "Criminal Damage", "Criminal Trespass", "Criminal Damage", "Burglary", "Deceptive Practice", "Deceptive Practice", "Deceptive Practice", "Motor Vehicle Theft", "Assault", "Theft", "Assault", "Battery", "Criminal Sexual Assault", "Burglary", "Motor Vehicle Theft", "Battery", "Theft", "Theft", "Burglary", "Battery", "Theft", "Theft", "Assault", "Deceptive Practice", "Criminal Damage", "Theft", "Theft", "Assault", "Theft", "Assault", "Burglary", "Burglary", "Deceptive Practice", "Motor Vehicle Theft", "Motor Vehicle Theft", "Battery", "Burglary", "Theft", "Motor Vehicle Theft", "Theft", "Criminal Damage", "Theft", "Theft", "Theft", "Theft", "Assault", "Deceptive Practice", "Theft", "Theft", "Theft", "Deceptive Practice", "Theft", "Theft", "Battery", "Battery", "Theft", "Assault", "Theft", "Deceptive Practice", "Battery", "Deceptive Practice", "Battery", "Motor Vehicle Theft", "Deceptive Practice" ], "description": "The sequence of crime incidents in the block reveals a pattern where various types of offenses occur over time, with notable clusters of specific crime types. Initially, assaults and thefts are reported, followed by a gradual increase in motor vehicle thefts and deceptive practices. As time progresses, there is a noticeable rise in battery incidents, alongside a consistent presence of theft-related offenses, particularly towards the latter part of the timeline. Deceptive practices appear intermittently throughout the sequence, and criminal damage incidents also emerge in clusters, particularly in the middle to later months. Overall, the data suggests a fluctuating but persistent occurrence of theft, assault, and battery offenses throughout the observed period." }, { "dim_process": 20, "seq_idx": 103, "seq_len": 41, "time_since_start": [ 0.0, 0.7125, 1.2648148148148148, 2.325, 4.104861111111111, 4.460648148148148, 4.660416666666666, 5.114583333333333, 5.228703703703704, 5.3694444444444445, 6.272569444444445, 7.473935185185185, 9.090162037037038, 10.610879629629629, 10.827777777777778, 12.11273148148148, 13.066319444444444, 13.806944444444444, 14.391666666666667, 14.441435185185185, 14.864583333333334, 14.94375, 15.541666666666666, 15.573796296296296, 15.800462962962962, 16.133333333333333, 16.764583333333334, 17.94097222222222, 18.522222222222222, 18.60789351851852, 18.825694444444444, 18.941666666666666, 19.105949074074076, 19.818287037037038, 20.67412037037037, 21.225, 21.497222222222224, 21.525, 22.32465277777778, 23.569444444444443, 23.59962962962963 ], "time_since_last_event": [ 0.0, 0.7125, 0.5523148148148148, 1.0601851851851851, 1.7798611111111111, 0.355787037037037, 0.1997685185185185, 0.45416666666666666, 0.11412037037037037, 0.14074074074074075, 0.903125, 1.2013657407407408, 1.6162268518518519, 1.5207175925925926, 0.21689814814814815, 1.2849537037037038, 0.953587962962963, 0.740625, 0.5847222222222223, 0.04976851851851852, 0.42314814814814816, 0.07916666666666666, 0.5979166666666667, 0.03212962962962963, 0.22666666666666666, 0.33287037037037037, 0.63125, 1.176388888888889, 0.58125, 0.0856712962962963, 0.21780092592592593, 0.11597222222222223, 0.1642824074074074, 0.7123379629629629, 0.8558333333333333, 0.5508796296296297, 0.2722222222222222, 0.027777777777777776, 0.7996527777777778, 1.2447916666666667, 0.030185185185185186 ], "type_event": [ 6, 9, 0, 2, 4, 4, 4, 11, 0, 0, 4, 4, 9, 0, 0, 11, 4, 0, 3, 0, 0, 0, 8, 16, 0, 0, 0, 0, 0, 0, 3, 0, 5, 9, 7, 3, 0, 4, 0, 0, 0 ], "type_text": [ "Criminal Damage", "Assault", "Theft", "Sex Offense", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Robbery", "Theft", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Assault", "Theft", "Theft", "Robbery", "Motor Vehicle Theft", "Theft", "Deceptive Practice", "Theft", "Theft", "Theft", "Other Offense", "Narcotics", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Deceptive Practice", "Theft", "Criminal Trespass", "Assault", "Battery", "Deceptive Practice", "Theft", "Motor Vehicle Theft", "Theft", "Theft", "Theft" ], "description": "The sequence of crime incidents shows a progression of various crime types over time, with certain patterns emerging. Initially, incidents such as Criminal Damage and Assault occur within the first few months, followed by a rise in Theft and Motor Vehicle Theft incidents as the timeline advances. Notably, there is a clustering of Theft incidents around the 15 to 19-month mark, with multiple occurrences in close succession. Additionally, Deceptive Practices and Assaults appear intermittently throughout the timeline, while Motor Vehicle Theft incidents are concentrated in the earlier middle months. Overall, the data reflects a trend of increasing Theft-related offenses as time progresses." }, { "dim_process": 20, "seq_idx": 104, "seq_len": 55, "time_since_start": [ 0.0, 0.002662037037037037, 1.1623842592592593, 1.2319212962962962, 2.3769675925925924, 2.515162037037037, 2.8512731481481484, 3.6727546296296296, 3.9185185185185185, 5.392939814814815, 5.667777777777777, 7.10662037037037, 7.492453703703704, 7.806597222222222, 7.9616898148148145, 8.018356481481481, 8.908472222222223, 9.179143518518519, 9.935902777777779, 10.845, 11.277847222222222, 13.280138888888889, 13.46962962962963, 13.645023148148148, 13.671458333333334, 13.677268518518519, 13.709606481481481, 13.71486111111111, 13.800717592592592, 14.338171296296297, 14.702662037037037, 14.973449074074074, 15.008935185185186, 15.144930555555556, 16.565509259259258, 17.208055555555557, 17.570069444444446, 17.571180555555557, 17.947199074074074, 19.065856481481482, 19.604791666666667, 20.877430555555556, 20.96664351851852, 21.01814814814815, 21.333055555555557, 22.60962962962963, 22.638333333333332, 22.675462962962964, 22.742847222222224, 22.93738425925926, 22.973472222222224, 23.268287037037037, 23.33310185185185, 23.508055555555554, 23.576157407407408 ], "time_since_last_event": [ 0.0, 0.002662037037037037, 1.1597222222222223, 0.06953703703703704, 1.1450462962962964, 0.13819444444444445, 0.33611111111111114, 0.8214814814814815, 0.2457638888888889, 1.4744212962962964, 0.274837962962963, 1.4388425925925925, 0.3858333333333333, 0.3141435185185185, 0.1550925925925926, 0.056666666666666664, 0.8901157407407407, 0.27067129629629627, 0.7567592592592592, 0.9090972222222222, 0.4328472222222222, 2.002291666666667, 0.18949074074074074, 0.17539351851851853, 0.026435185185185187, 0.005810185185185186, 0.032337962962962964, 0.00525462962962963, 0.08585648148148148, 0.5374537037037037, 0.3644907407407407, 0.27078703703703705, 0.035486111111111114, 0.13599537037037038, 1.4205787037037036, 0.6425462962962963, 0.3620138888888889, 0.0011111111111111111, 0.37601851851851853, 1.1186574074074074, 0.5389351851851852, 1.2726388888888889, 0.08921296296296297, 0.05150462962962963, 0.3149074074074074, 1.276574074074074, 0.028703703703703703, 0.03712962962962963, 0.06738425925925925, 0.19453703703703704, 0.03608796296296296, 0.2948148148148148, 0.06481481481481481, 0.1749537037037037, 0.06810185185185186 ], "type_event": [ 0, 7, 7, 6, 7, 13, 6, 9, 7, 7, 0, 11, 7, 7, 0, 6, 1, 7, 8, 19, 1, 7, 16, 8, 16, 7, 7, 7, 16, 16, 7, 7, 16, 16, 8, 9, 1, 0, 1, 7, 1, 1, 0, 7, 7, 16, 15, 0, 9, 4, 7, 16, 16, 0, 0 ], "type_text": [ "Theft", "Battery", "Battery", "Criminal Damage", "Battery", "Offense Involving Children", "Criminal Damage", "Assault", "Battery", "Battery", "Theft", "Robbery", "Battery", "Battery", "Theft", "Criminal Damage", "Weapons Violation", "Battery", "Other Offense", "Homicide", "Weapons Violation", "Battery", "Narcotics", "Other Offense", "Narcotics", "Battery", "Battery", "Battery", "Narcotics", "Narcotics", "Battery", "Battery", "Narcotics", "Narcotics", "Other Offense", "Assault", "Weapons Violation", "Theft", "Weapons Violation", "Battery", "Weapons Violation", "Weapons Violation", "Theft", "Battery", "Battery", "Narcotics", "Interference With Public Officer", "Theft", "Assault", "Motor Vehicle Theft", "Battery", "Narcotics", "Narcotics", "Theft", "Theft" ], "description": "The sequence of crime incidents shows a pattern where battery and theft incidents occur frequently throughout the timeline, with battery incidents appearing consistently in the earlier months and continuing to be reported later. Criminal damage and narcotics offenses appear intermittently, with narcotics incidents clustering in the later months. Weapons violations also increase in frequency as the timeline progresses, particularly in the latter half of the sequence. Assaults and other offenses are noted sporadically, while serious incidents like homicide are isolated events within the timeline. Overall, there is a noticeable increase in the variety of offenses as time advances, with certain crime types clustering in specific periods." }, { "dim_process": 20, "seq_idx": 105, "seq_len": 32, "time_since_start": [ 0.0, 0.1162037037037037, 1.5409722222222222, 2.035416666666667, 2.140347222222222, 2.7739814814814814, 3.558125, 3.6421296296296295, 3.8962268518518517, 3.9550925925925924, 4.489583333333333, 4.6216435185185185, 6.2868055555555555, 6.31474537037037, 6.353472222222222, 6.733912037037037, 8.247222222222222, 8.984004629629629, 10.819444444444445, 11.29287037037037, 12.917361111111111, 13.366666666666667, 13.488194444444444, 13.6125, 13.693055555555556, 13.714583333333334, 14.447824074074074, 17.002777777777776, 19.18078703703704, 19.381805555555555, 21.084606481481483, 22.155555555555555 ], "time_since_last_event": [ 0.0, 0.1162037037037037, 1.4247685185185186, 0.49444444444444446, 0.10493055555555555, 0.6336342592592593, 0.7841435185185185, 0.08400462962962962, 0.2540972222222222, 0.05886574074074074, 0.5344907407407408, 0.1320601851851852, 1.665162037037037, 0.027939814814814813, 0.03872685185185185, 0.3804398148148148, 1.5133101851851851, 0.7367824074074074, 1.8354398148148148, 0.4734259259259259, 1.6244907407407407, 0.44930555555555557, 0.12152777777777778, 0.12430555555555556, 0.08055555555555556, 0.021527777777777778, 0.7332407407407407, 2.5549537037037036, 2.1780092592592593, 0.2010185185185185, 1.702800925925926, 1.0709490740740741 ], "type_event": [ 6, 4, 9, 6, 8, 1, 0, 16, 6, 8, 11, 11, 0, 8, 6, 5, 0, 9, 0, 7, 4, 0, 4, 9, 11, 2, 6, 4, 7, 7, 8, 8 ], "type_text": [ "Criminal Damage", "Motor Vehicle Theft", "Assault", "Criminal Damage", "Other Offense", "Weapons Violation", "Theft", "Narcotics", "Criminal Damage", "Other Offense", "Robbery", "Robbery", "Theft", "Other Offense", "Criminal Damage", "Criminal Trespass", "Theft", "Assault", "Theft", "Battery", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Assault", "Robbery", "Sex Offense", "Criminal Damage", "Motor Vehicle Theft", "Battery", "Battery", "Other Offense", "Other Offense" ], "description": "The sequence of crime incidents shows a variety of offenses occurring over time, with notable clusters of certain crime types. Initially, criminal damage and motor vehicle theft are reported, followed by a mix of assaults and other offenses within the first few months. As time progresses, thefts and robberies become more frequent, particularly around the 6 to 14-month mark, where multiple thefts and robberies are recorded in close succession. Towards the later months, there is a resurgence of motor vehicle thefts and batteries, indicating a shift in the types of incidents reported. Overall, the pattern reveals that certain crimes, such as theft and robbery, tend to cluster together, while others, like motor vehicle theft, appear more sporadically throughout the timeline." }, { "dim_process": 20, "seq_idx": 106, "seq_len": 59, "time_since_start": [ 0.0, 0.04837962962962963, 0.5958333333333333, 0.8891203703703704, 1.457638888888889, 2.375, 3.4569444444444444, 3.5652777777777778, 3.6, 4.433356481481481, 4.959027777777778, 5.206018518518518, 5.838888888888889, 5.892361111111111, 6.228703703703704, 6.263425925925926, 6.893055555555556, 7.290277777777778, 7.783564814814815, 9.44513888888889, 9.544282407407408, 9.549027777777777, 10.645833333333334, 10.97638888888889, 11.271296296296295, 11.46875, 12.015277777777778, 13.2125, 13.444907407407408, 14.68576388888889, 14.880462962962962, 15.077013888888889, 15.42962962962963, 16.139375, 16.14375, 16.179166666666667, 16.608333333333334, 16.722916666666666, 17.22740740740741, 17.243055555555557, 17.61111111111111, 17.665393518518517, 17.865277777777777, 18.837060185185184, 18.947916666666668, 18.983333333333334, 19.763541666666665, 19.766666666666666, 19.784027777777776, 19.95625, 20.33449074074074, 20.366666666666667, 20.87962962962963, 21.018055555555556, 21.733356481481483, 22.56388888888889, 22.578125, 22.82777777777778, 23.431944444444444 ], "time_since_last_event": [ 0.0, 0.04837962962962963, 0.5474537037037037, 0.293287037037037, 0.5685185185185185, 0.9173611111111111, 1.0819444444444444, 0.10833333333333334, 0.034722222222222224, 0.8333564814814814, 0.5256712962962963, 0.24699074074074073, 0.6328703703703704, 0.05347222222222222, 0.3363425925925926, 0.034722222222222224, 0.6296296296296297, 0.3972222222222222, 0.493287037037037, 1.661574074074074, 0.09914351851851852, 0.00474537037037037, 1.0968055555555556, 0.33055555555555555, 0.2949074074074074, 0.19745370370370371, 0.5465277777777777, 1.1972222222222222, 0.2324074074074074, 1.2408564814814815, 0.19469907407407408, 0.19655092592592593, 0.35261574074074076, 0.7097453703703703, 0.004375, 0.035416666666666666, 0.42916666666666664, 0.11458333333333333, 0.5044907407407407, 0.015648148148148147, 0.3680555555555556, 0.054282407407407404, 0.19988425925925926, 0.9717824074074074, 0.11085648148148149, 0.035416666666666666, 0.7802083333333333, 0.003125, 0.017361111111111112, 0.17222222222222222, 0.37824074074074077, 0.03217592592592593, 0.512962962962963, 0.13842592592592592, 0.715300925925926, 0.8305324074074074, 0.01423611111111111, 0.24965277777777778, 0.6041666666666666 ], "type_event": [ 7, 9, 0, 9, 7, 7, 7, 7, 10, 7, 9, 7, 9, 10, 0, 0, 4, 9, 7, 7, 6, 1, 12, 9, 0, 0, 7, 8, 7, 9, 9, 9, 0, 0, 6, 9, 10, 6, 7, 10, 8, 7, 6, 7, 0, 3, 4, 6, 4, 7, 7, 3, 9, 0, 0, 5, 6, 3, 5 ], "type_text": [ "Battery", "Assault", "Theft", "Assault", "Battery", "Battery", "Battery", "Battery", "Burglary", "Battery", "Assault", "Battery", "Assault", "Burglary", "Theft", "Theft", "Motor Vehicle Theft", "Assault", "Battery", "Battery", "Criminal Damage", "Weapons Violation", "Arson", "Assault", "Theft", "Theft", "Battery", "Other Offense", "Battery", "Assault", "Assault", "Assault", "Theft", "Theft", "Criminal Damage", "Assault", "Burglary", "Criminal Damage", "Battery", "Burglary", "Other Offense", "Battery", "Criminal Damage", "Battery", "Theft", "Deceptive Practice", "Motor Vehicle Theft", "Criminal Damage", "Motor Vehicle Theft", "Battery", "Battery", "Deceptive Practice", "Assault", "Theft", "Theft", "Criminal Trespass", "Criminal Damage", "Deceptive Practice", "Criminal Trespass" ], "description": "The sequence of crime incidents shows a diverse range of offenses occurring over time, with certain types of crimes appearing more frequently at specific intervals. Initially, there is a notable cluster of battery and assault incidents within the first few months. As time progresses, there is an increase in thefts and burglaries, particularly in the middle of the timeline, followed by a rise in criminal damage and other offenses later on. Additionally, motor vehicle thefts emerge towards the end of the sequence, indicating a shift in the types of crimes reported as time advances. Overall, the data suggests a pattern of escalating crime types over the duration of the observed period." }, { "dim_process": 20, "seq_idx": 107, "seq_len": 53, "time_since_start": [ 0.0, 1.0680092592592592, 1.463148148148148, 1.4638425925925926, 1.7291203703703704, 1.9298148148148149, 2.459675925925926, 2.8666666666666667, 3.079814814814815, 5.155509259259259, 5.337453703703703, 6.792314814814815, 6.981203703703704, 6.981898148148148, 6.987106481481481, 7.049953703703704, 7.37912037037037, 7.637013888888889, 7.76800925925926, 7.881550925925926, 8.402037037037037, 8.490231481481482, 8.835601851851852, 9.51662037037037, 9.648217592592593, 9.890231481481482, 9.917314814814814, 10.104537037037037, 10.199953703703704, 10.200347222222222, 10.207337962962963, 10.46800925925926, 10.518009259259259, 11.194398148148148, 11.565925925925926, 11.655879629629629, 13.545902777777778, 13.640925925925925, 14.49787037037037, 15.591689814814815, 16.936759259259258, 17.233981481481482, 18.181898148148147, 18.40275462962963, 18.765231481481482, 19.733287037037037, 19.757430555555555, 20.136064814814816, 20.136134259259258, 21.615578703703704, 21.909675925925924, 23.09162037037037, 23.135416666666668 ], "time_since_last_event": [ 0.0, 1.0680092592592592, 0.3951388888888889, 0.0006944444444444445, 0.2652777777777778, 0.20069444444444445, 0.5298611111111111, 0.40699074074074076, 0.21314814814814814, 2.0756944444444443, 0.18194444444444444, 1.4548611111111112, 0.18888888888888888, 0.0006944444444444445, 0.005208333333333333, 0.06284722222222222, 0.32916666666666666, 0.2578935185185185, 0.13099537037037037, 0.11354166666666667, 0.5204861111111111, 0.08819444444444445, 0.3453703703703704, 0.6810185185185185, 0.13159722222222223, 0.2420138888888889, 0.027083333333333334, 0.18722222222222223, 0.09541666666666666, 0.0003935185185185185, 0.006990740740740741, 0.2606712962962963, 0.05, 0.6763888888888889, 0.3715277777777778, 0.0899537037037037, 1.8900231481481482, 0.09502314814814815, 0.8569444444444444, 1.0938194444444445, 1.3450694444444444, 0.2972222222222222, 0.9479166666666666, 0.2208564814814815, 0.36247685185185186, 0.9680555555555556, 0.02414351851851852, 0.37863425925925925, 6.944444444444444e-05, 1.4794444444444443, 0.29409722222222223, 1.1819444444444445, 0.0437962962962963 ], "type_event": [ 7, 0, 0, 0, 4, 0, 0, 0, 4, 4, 3, 6, 6, 0, 6, 6, 4, 11, 0, 6, 11, 4, 9, 0, 3, 3, 3, 4, 4, 0, 4, 0, 4, 0, 4, 0, 4, 9, 0, 4, 4, 4, 3, 0, 11, 4, 8, 0, 8, 0, 4, 3, 11 ], "type_text": [ "Battery", "Theft", "Theft", "Theft", "Motor Vehicle Theft", "Theft", "Theft", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Deceptive Practice", "Criminal Damage", "Criminal Damage", "Theft", "Criminal Damage", "Criminal Damage", "Motor Vehicle Theft", "Robbery", "Theft", "Criminal Damage", "Robbery", "Motor Vehicle Theft", "Assault", "Theft", "Deceptive Practice", "Deceptive Practice", "Deceptive Practice", "Motor Vehicle Theft", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Assault", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Deceptive Practice", "Theft", "Robbery", "Motor Vehicle Theft", "Other Offense", "Theft", "Other Offense", "Theft", "Motor Vehicle Theft", "Deceptive Practice", "Robbery" ], "description": "The sequence of crime incidents shows a notable clustering of theft-related offenses occurring predominantly in the early months, with multiple thefts reported within a short time frame. Motor vehicle thefts appear consistently throughout the timeline, with a significant number occurring in the later months. Criminal damage incidents emerge in the mid-sequence, while robbery and deceptive practices are interspersed throughout, particularly in the latter part of the timeline. Overall, there is a trend of increasing complexity in the types of crimes reported as time progresses." }, { "dim_process": 20, "seq_idx": 108, "seq_len": 30, "time_since_start": [ 0.0, 2.14537037037037, 3.315046296296296, 3.6657407407407407, 5.164583333333334, 5.6241666666666665, 8.302662037037036, 8.733449074074073, 9.581018518518519, 10.782407407407407, 10.905879629629629, 11.602546296296296, 11.768518518518519, 15.91851851851852, 15.967361111111112, 16.344212962962963, 16.369907407407407, 17.03935185185185, 17.476967592592594, 17.60324074074074, 17.637962962962963, 17.876851851851853, 18.225277777777777, 18.42962962962963, 19.63171296296296, 19.761458333333334, 20.435185185185187, 20.66849537037037, 21.93787037037037, 22.34212962962963 ], "time_since_last_event": [ 0.0, 2.14537037037037, 1.169675925925926, 0.3506944444444444, 1.4988425925925926, 0.45958333333333334, 2.67849537037037, 0.430787037037037, 0.8475694444444445, 1.2013888888888888, 0.12347222222222222, 0.6966666666666667, 0.16597222222222222, 4.15, 0.04884259259259259, 0.3768518518518518, 0.025694444444444443, 0.6694444444444444, 0.4376157407407407, 0.12627314814814813, 0.034722222222222224, 0.2388888888888889, 0.3484259259259259, 0.20435185185185184, 1.2020833333333334, 0.12974537037037037, 0.6737268518518519, 0.23331018518518518, 1.269375, 0.40425925925925926 ], "type_event": [ 0, 0, 10, 4, 7, 0, 7, 0, 0, 6, 3, 5, 0, 0, 0, 0, 4, 9, 0, 4, 0, 6, 6, 5, 8, 0, 0, 0, 3, 0 ], "type_text": [ "Theft", "Theft", "Burglary", "Motor Vehicle Theft", "Battery", "Theft", "Battery", "Theft", "Theft", "Criminal Damage", "Deceptive Practice", "Criminal Trespass", "Theft", "Theft", "Theft", "Theft", "Motor Vehicle Theft", "Assault", "Theft", "Motor Vehicle Theft", "Theft", "Criminal Damage", "Criminal Damage", "Criminal Trespass", "Other Offense", "Theft", "Theft", "Theft", "Deceptive Practice", "Theft" ], "description": "The sequence of crime incidents shows a pattern where theft is the most frequently reported crime, occurring at various intervals throughout the timeline. Burglary and motor vehicle theft appear relatively early, followed by a mix of battery and theft incidents in the middle of the timeline. Criminal damage and deceptive practices emerge later, with several theft incidents clustering towards the end. Overall, theft incidents tend to occur consistently, while other crime types appear more sporadically throughout the sequence." }, { "dim_process": 20, "seq_idx": 109, "seq_len": 48, "time_since_start": [ 0.0, 1.1125462962962962, 2.1174768518518516, 3.0800925925925924, 3.1210416666666667, 3.127314814814815, 3.3967592592592593, 3.7534953703703704, 4.720069444444444, 7.330092592592592, 7.431018518518519, 7.867361111111111, 8.461805555555555, 10.66664351851852, 10.729305555555555, 11.192592592592593, 11.41636574074074, 12.490972222222222, 12.887962962962963, 13.025810185185184, 13.025856481481481, 13.263587962962964, 13.918287037037038, 14.021296296296295, 14.175925925925926, 14.627476851851851, 15.096018518518518, 15.394074074074075, 15.644675925925926, 16.328217592592594, 16.845532407407408, 17.36111111111111, 17.452314814814816, 17.465, 17.873055555555556, 18.696064814814815, 18.824537037037036, 19.05300925925926, 20.062962962962963, 20.48002314814815, 20.516898148148147, 20.850949074074073, 22.147453703703704, 22.147453703703704, 22.31238425925926, 22.617569444444445, 22.715740740740742, 23.15787037037037 ], "time_since_last_event": [ 0.0, 1.1125462962962962, 1.0049305555555557, 0.9626157407407407, 0.040949074074074075, 0.006273148148148148, 0.26944444444444443, 0.3567361111111111, 0.966574074074074, 2.610023148148148, 0.10092592592592593, 0.4363425925925926, 0.5944444444444444, 2.204837962962963, 0.06266203703703704, 0.46328703703703705, 0.22377314814814814, 1.0746064814814815, 0.39699074074074076, 0.13784722222222223, 4.6296296296296294e-05, 0.2377314814814815, 0.6546990740740741, 0.10300925925925926, 0.15462962962962962, 0.45155092592592594, 0.4685416666666667, 0.2980555555555556, 0.25060185185185185, 0.6835416666666667, 0.5173148148148148, 0.5155787037037037, 0.0912037037037037, 0.012685185185185185, 0.40805555555555556, 0.8230092592592593, 0.1284722222222222, 0.22847222222222222, 1.0099537037037036, 0.4170601851851852, 0.036875, 0.33405092592592595, 1.2965046296296296, 0.0, 0.16493055555555555, 0.30518518518518517, 0.0981712962962963, 0.44212962962962965 ], "type_event": [ 6, 8, 8, 3, 0, 6, 14, 7, 6, 9, 6, 6, 6, 6, 6, 0, 6, 0, 7, 3, 3, 6, 0, 7, 0, 6, 6, 9, 3, 6, 3, 0, 4, 6, 6, 0, 0, 4, 11, 6, 9, 11, 3, 0, 9, 0, 9, 0 ], "type_text": [ "Criminal Damage", "Other Offense", "Other Offense", "Deceptive Practice", "Theft", "Criminal Damage", "Criminal Sexual Assault", "Battery", "Criminal Damage", "Assault", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Theft", "Criminal Damage", "Theft", "Battery", "Deceptive Practice", "Deceptive Practice", "Criminal Damage", "Theft", "Battery", "Theft", "Criminal Damage", "Criminal Damage", "Assault", "Deceptive Practice", "Criminal Damage", "Deceptive Practice", "Theft", "Motor Vehicle Theft", "Criminal Damage", "Criminal Damage", "Theft", "Theft", "Motor Vehicle Theft", "Robbery", "Criminal Damage", "Assault", "Robbery", "Deceptive Practice", "Theft", "Assault", "Theft", "Assault", "Theft" ], "description": "The sequence of crime incidents shows a pattern where various types of offenses occur throughout the timeline, with notable clusters of criminal damage incidents occurring primarily in the early to mid-periods. Other offenses, including theft and deceptive practices, appear consistently, particularly in the later months. Assaults and motor vehicle thefts emerge in the latter half of the sequence, indicating a potential shift in the types of crimes reported over time. Overall, there is a trend of increasing incidents of theft and criminal damage as the timeline progresses." }, { "dim_process": 20, "seq_idx": 110, "seq_len": 102, "time_since_start": [ 0.0, 0.1728009259259259, 0.2728009259259259, 0.29780092592592594, 0.43252314814814813, 0.5359722222222222, 0.6280092592592592, 0.767824074074074, 0.9045138888888888, 1.0748842592592593, 1.8994212962962962, 2.306134259259259, 2.6010416666666667, 2.616550925925926, 2.6309027777777776, 2.690162037037037, 3.042939814814815, 3.2422453703703704, 3.303472222222222, 3.30349537037037, 3.9399305555555557, 4.081134259259259, 4.1752314814814815, 4.297800925925926, 4.531134259259259, 4.8255787037037035, 4.8664351851851855, 5.000578703703703, 5.001967592592592, 5.001967592592592, 5.673495370370371, 5.778356481481482, 6.106134259259259, 6.346064814814815, 6.351273148148148, 6.369907407407408, 7.108287037037037, 7.426620370370371, 7.538078703703704, 7.675578703703704, 7.724976851851852, 7.72824074074074, 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0.5118055555555555, 0.1380324074074074, 0.12585648148148149, 0.14289351851851853, 0.16231481481481483, 0.209375, 0.024189814814814813, 0.06261574074074074, 0.20456018518518518, 0.40377314814814813, 0.03275462962962963, 0.3369212962962963 ], "type_event": [ 0, 0, 10, 0, 6, 9, 6, 0, 6, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9, 3, 0, 0, 4, 4, 7, 0, 0, 3, 0, 0, 0, 6, 11, 7, 9, 0, 0, 0, 7, 0, 6, 0, 0, 4, 0, 3, 4, 7, 6, 6, 0, 13, 0, 10, 10, 0, 0, 0, 12, 9, 7, 0, 6, 7, 6, 0, 7, 5, 9, 0, 0, 9, 4, 0, 9, 6, 5, 0, 0, 5, 7, 0, 6, 3, 9, 11, 0, 10, 0, 0, 0, 5, 4, 7, 0, 6, 7, 0, 5, 0 ], "type_text": [ "Theft", "Theft", "Burglary", "Theft", "Criminal Damage", "Assault", "Criminal Damage", "Theft", "Criminal Damage", "Motor Vehicle Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Assault", "Deceptive Practice", "Theft", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Battery", "Theft", "Theft", "Deceptive Practice", "Theft", "Theft", "Theft", "Criminal Damage", "Robbery", "Battery", "Assault", "Theft", "Theft", "Theft", "Battery", "Theft", "Criminal Damage", "Theft", "Theft", "Motor Vehicle Theft", "Theft", "Deceptive Practice", "Motor Vehicle Theft", "Battery", "Criminal Damage", "Criminal Damage", "Theft", "Offense Involving Children", "Theft", "Burglary", "Burglary", "Theft", "Theft", "Theft", "Arson", "Assault", "Battery", "Theft", "Criminal Damage", "Battery", "Criminal Damage", "Theft", "Battery", "Criminal Trespass", "Assault", "Theft", "Theft", "Assault", "Motor Vehicle Theft", "Theft", "Assault", "Criminal Damage", "Criminal Trespass", "Theft", "Theft", "Criminal Trespass", "Battery", "Theft", "Criminal Damage", "Deceptive Practice", "Assault", "Robbery", "Theft", "Burglary", "Theft", "Theft", "Theft", "Criminal Trespass", "Motor Vehicle Theft", "Battery", "Theft", "Criminal Damage", "Battery", "Theft", "Criminal Trespass", "Theft" ], "description": "The sequence of crime incidents reveals a notable prevalence of theft incidents, which occur frequently throughout the timeline, especially in the earlier months. Burglary incidents appear clustered around the 11-month mark, while motor vehicle thefts are concentrated in the later months. Criminal damage and battery incidents also show a tendency to occur intermittently, with some clustering in the mid to late months. Overall, the data indicates a sustained pattern of theft, with various other crime types emerging at different points in the timeline." }, { "dim_process": 20, "seq_idx": 111, "seq_len": 34, "time_since_start": [ 0.0, 0.471875, 2.810763888888889, 3.509537037037037, 4.538888888888889, 5.346875, 5.994814814814815, 6.414930555555555, 7.441319444444445, 8.759375, 9.999652777777778, 10.821875, 10.988541666666666, 11.62673611111111, 11.779212962962964, 12.562407407407408, 12.949652777777779, 14.192708333333334, 14.418402777777779, 14.75, 16.57115740740741, 17.057986111111113, 17.83298611111111, 18.059375, 18.38715277777778, 20.216666666666665, 20.316319444444446, 20.788541666666667, 21.27863425925926, 22.87675925925926, 23.476736111111112, 23.561875, 24.01990740740741, 24.071898148148147 ], "time_since_last_event": [ 0.0, 0.471875, 2.338888888888889, 0.6987731481481482, 1.0293518518518519, 0.8079861111111111, 0.6479398148148148, 0.42011574074074076, 1.0263888888888888, 1.3180555555555555, 1.2402777777777778, 0.8222222222222222, 0.16666666666666666, 0.6381944444444444, 0.15247685185185186, 0.7831944444444444, 0.3872453703703704, 1.2430555555555556, 0.22569444444444445, 0.3315972222222222, 1.8211574074074075, 0.4868287037037037, 0.775, 0.2263888888888889, 0.3277777777777778, 1.8295138888888889, 0.09965277777777778, 0.4722222222222222, 0.4900925925925926, 1.598125, 0.5999768518518519, 0.08513888888888889, 0.4580324074074074, 0.05199074074074074 ], "type_event": [ 3, 8, 6, 9, 7, 4, 6, 9, 0, 0, 0, 0, 0, 0, 0, 8, 7, 7, 8, 0, 7, 0, 6, 3, 3, 7, 7, 7, 6, 7, 9, 10, 9, 6 ], "type_text": [ "Deceptive Practice", "Other Offense", "Criminal Damage", "Assault", "Battery", "Motor Vehicle Theft", "Criminal Damage", "Assault", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Other Offense", "Battery", "Battery", "Other Offense", "Theft", "Battery", "Theft", "Criminal Damage", "Deceptive Practice", "Deceptive Practice", "Battery", "Battery", "Battery", "Criminal Damage", "Battery", "Assault", "Burglary", "Assault", "Criminal Damage" ], "description": "The sequence of crime incidents begins with deceptive practices and other offenses occurring within the first few months. Following this, there is a notable increase in incidents of criminal damage, assaults, and batteries, which cluster between months three and twenty-four. The theft incidents appear prominently after the initial offenses, particularly from months seven to twelve, with several occurrences clustered closely together. Towards the later months, batteries and criminal damage continue to appear, indicating a sustained trend of violent and property-related crimes. Overall, the sequence shows a progression from initial deceptive practices to a higher frequency of theft and violent offenses over time." }, { "dim_process": 20, "seq_idx": 112, "seq_len": 75, "time_since_start": [ 0.0, 0.4450462962962963, 0.4927314814814815, 0.9076157407407407, 1.9673842592592592, 2.1087037037037035, 2.3133333333333335, 4.028888888888889, 4.337916666666667, 4.490648148148148, 5.53162037037037, 6.581759259259259, 7.017731481481482, 7.027453703703704, 7.137013888888889, 7.165925925925926, 7.477013888888889, 7.828842592592593, 8.184166666666666, 9.696203703703704, 9.936666666666667, 10.013564814814815, 10.03, 10.667731481481482, 10.699444444444444, 10.867407407407407, 11.847708333333333, 11.970162037037037, 12.099675925925926, 12.166574074074074, 12.584328703703704, 12.759050925925926, 15.031620370370371, 15.037175925925926, 15.892731481481482, 16.243657407407408, 16.574791666666666, 16.63300925925926, 16.68023148148148, 16.749212962962964, 16.833587962962962, 17.109212962962964, 17.83162037037037, 18.13912037037037, 18.225532407407407, 18.441458333333333, 18.503009259259258, 18.537152777777777, 18.977222222222224, 18.994814814814816, 19.231620370370372, 19.24736111111111, 19.26912037037037, 19.835856481481482, 20.537175925925926, 20.538564814814816, 20.598287037037036, 20.685787037037038, 20.816041666666667, 20.840439814814815, 20.84060185185185, 20.86634259259259, 21.232847222222222, 21.27803240740741, 21.445162037037036, 21.68113425925926, 21.896898148148146, 22.164722222222224, 22.180115740740742, 22.63925925925926, 22.746712962962963, 23.136712962962964, 23.372939814814814, 23.39273148148148, 23.646898148148146 ], "time_since_last_event": [ 0.0, 0.4450462962962963, 0.047685185185185185, 0.41488425925925926, 1.0597685185185186, 0.14131944444444444, 0.20462962962962963, 1.7155555555555555, 0.3090277777777778, 0.15273148148148147, 1.0409722222222222, 1.050138888888889, 0.4359722222222222, 0.009722222222222222, 0.10956018518518519, 0.028912037037037038, 0.311087962962963, 0.3518287037037037, 0.35532407407407407, 1.512037037037037, 0.24046296296296296, 0.07689814814814815, 0.016435185185185185, 0.6377314814814815, 0.031712962962962964, 0.16796296296296295, 0.9803009259259259, 0.1224537037037037, 0.1295138888888889, 0.06689814814814815, 0.4177546296296296, 0.17472222222222222, 2.2725694444444446, 0.005555555555555556, 0.8555555555555555, 0.3509259259259259, 0.33113425925925927, 0.05821759259259259, 0.04722222222222222, 0.06898148148148148, 0.084375, 0.275625, 0.7224074074074074, 0.3075, 0.08641203703703704, 0.21592592592592594, 0.061550925925925926, 0.03414351851851852, 0.44006944444444446, 0.017592592592592594, 0.23680555555555555, 0.01574074074074074, 0.02175925925925926, 0.5667361111111111, 0.7013194444444445, 0.001388888888888889, 0.059722222222222225, 0.0875, 0.13025462962962964, 0.024398148148148148, 0.00016203703703703703, 0.02574074074074074, 0.36650462962962965, 0.04518518518518518, 0.16712962962962963, 0.23597222222222222, 0.2157638888888889, 0.26782407407407405, 0.015393518518518518, 0.45914351851851853, 0.1074537037037037, 0.39, 0.23622685185185185, 0.019791666666666666, 0.25416666666666665 ], "type_event": [ 1, 3, 6, 1, 16, 0, 16, 5, 7, 9, 16, 0, 0, 10, 8, 9, 18, 3, 8, 6, 8, 7, 15, 3, 6, 8, 1, 0, 3, 0, 5, 16, 7, 13, 8, 4, 16, 11, 3, 8, 1, 1, 0, 16, 8, 1, 5, 7, 9, 0, 0, 1, 0, 6, 6, 6, 6, 0, 0, 8, 7, 6, 6, 7, 16, 8, 8, 7, 7, 9, 15, 16, 6, 1, 6 ], "type_text": [ "Weapons Violation", "Deceptive Practice", "Criminal Damage", "Weapons Violation", "Narcotics", "Theft", "Narcotics", "Criminal Trespass", "Battery", "Assault", "Narcotics", "Theft", "Theft", "Burglary", "Other Offense", "Assault", "Public Peace Violation", "Deceptive Practice", "Other Offense", "Criminal Damage", "Other Offense", "Battery", "Interference With Public Officer", "Deceptive Practice", "Criminal Damage", "Other Offense", "Weapons Violation", "Theft", "Deceptive Practice", "Theft", "Criminal Trespass", "Narcotics", "Battery", "Offense Involving Children", "Other Offense", "Motor Vehicle Theft", "Narcotics", "Robbery", "Deceptive Practice", "Other Offense", "Weapons Violation", "Weapons Violation", "Theft", "Narcotics", "Other Offense", "Weapons Violation", "Criminal Trespass", "Battery", "Assault", "Theft", "Theft", "Weapons Violation", "Theft", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Theft", "Theft", "Other Offense", "Battery", "Criminal Damage", "Criminal Damage", "Battery", "Narcotics", "Other Offense", "Other Offense", "Battery", "Battery", "Assault", "Interference With Public Officer", "Narcotics", "Criminal Damage", "Weapons Violation", "Criminal Damage" ], "description": "The sequence of crime incidents shows a diverse range of offenses occurring over time, with certain types of crimes appearing more frequently in specific periods. Initially, weapons violations and deceptive practices are reported, followed by a mix of narcotics and theft incidents that cluster around the 2 to 7-month mark. As time progresses, there is a noticeable increase in the frequency of thefts, assaults, and various other offenses, particularly between the 15 to 23-month range, with criminal damage incidents becoming prominent in the latter part of the sequence. Overall, the data reflects a gradual escalation in the variety and frequency of crime types as time advances." }, { "dim_process": 20, "seq_idx": 113, "seq_len": 33, "time_since_start": [ 0.0, 0.23337962962962963, 1.136111111111111, 1.5034722222222223, 2.591203703703704, 3.410462962962963, 4.0875, 4.937962962962963, 4.954166666666667, 5.458333333333333, 5.870833333333334, 6.792592592592593, 7.291574074074074, 7.790277777777778, 7.845671296296296, 9.432708333333334, 9.777800925925925, 10.242222222222223, 10.506898148148148, 11.154861111111112, 15.707291666666666, 16.477708333333332, 16.978472222222223, 17.03377314814815, 17.045833333333334, 17.6125, 18.725, 18.868935185185187, 19.826851851851853, 20.34113425925926, 21.23085648148148, 21.763333333333332, 23.137199074074076 ], "time_since_last_event": [ 0.0, 0.23337962962962963, 0.9027314814814815, 0.36736111111111114, 1.0877314814814816, 0.8192592592592592, 0.677037037037037, 0.850462962962963, 0.016203703703703703, 0.5041666666666667, 0.4125, 0.9217592592592593, 0.49898148148148147, 0.4987037037037037, 0.055393518518518516, 1.587037037037037, 0.3450925925925926, 0.4644212962962963, 0.2646759259259259, 0.647962962962963, 4.5524305555555555, 0.7704166666666666, 0.5007638888888889, 0.05530092592592593, 0.012060185185185186, 0.5666666666666667, 1.1125, 0.1439351851851852, 0.9579166666666666, 0.5142824074074074, 0.8897222222222222, 0.5324768518518519, 1.3738657407407406 ], "type_event": [ 0, 16, 8, 11, 2, 1, 10, 1, 6, 6, 10, 7, 8, 3, 7, 5, 6, 1, 7, 11, 11, 1, 6, 1, 0, 0, 7, 1, 8, 16, 8, 8, 9 ], "type_text": [ "Theft", "Narcotics", "Other Offense", "Robbery", "Sex Offense", "Weapons Violation", "Burglary", "Weapons Violation", "Criminal Damage", "Criminal Damage", "Burglary", "Battery", "Other Offense", "Deceptive Practice", "Battery", "Criminal Trespass", "Criminal Damage", "Weapons Violation", "Battery", "Robbery", "Robbery", "Weapons Violation", "Criminal Damage", "Weapons Violation", "Theft", "Theft", "Battery", "Weapons Violation", "Other Offense", "Narcotics", "Other Offense", "Other Offense", "Assault" ], "description": "The sequence of crime incidents shows a progression of various crime types over time, with certain events clustering in specific periods. Initially, theft and narcotics offenses occur early in the timeline, followed by a mix of other offenses and violent crimes like robbery and battery that appear more frequently in the middle stages. As time progresses, there is a noticeable increase in weapons violations and criminal damage incidents, particularly in the later months. The sequence concludes with a rise in other offenses and an assault, indicating a diverse range of incidents throughout the timeline." }, { "dim_process": 20, "seq_idx": 114, "seq_len": 99, "time_since_start": [ 0.0, 0.03298611111111111, 0.26840277777777777, 1.7159722222222222, 1.9309027777777779, 2.363541666666667, 2.365625, 3.778125, 3.7974074074074076, 4.000972222222222, 4.065625, 4.463541666666667, 4.696203703703704, 4.730208333333334, 4.921180555555556, 4.932291666666667, 5.196180555555555, 5.630902777777778, 5.666203703703704, 5.669097222222222, 6.094791666666667, 6.099652777777778, 6.100347222222222, 6.100879629629629, 6.566087962962963, 7.300115740740741, 7.467361111111111, 7.532291666666667, 8.095254629629629, 8.228819444444444, 8.232291666666667, 9.134375, 9.146875, 9.399652777777778, 9.562847222222222, 9.629513888888889, 9.866666666666667, 10.067939814814816, 10.296180555555555, 11.229513888888889, 11.229791666666667, 11.934375, 11.966782407407408, 12.16423611111111, 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22.897800925925925, 23.365625, 23.365625 ], "time_since_last_event": [ 0.0, 0.03298611111111111, 0.23541666666666666, 1.4475694444444445, 0.21493055555555557, 0.4326388888888889, 0.0020833333333333333, 1.4125, 0.019282407407407408, 0.2035648148148148, 0.06465277777777778, 0.39791666666666664, 0.23266203703703703, 0.03400462962962963, 0.1909722222222222, 0.011111111111111112, 0.2638888888888889, 0.43472222222222223, 0.03530092592592592, 0.0028935185185185184, 0.42569444444444443, 0.004861111111111111, 0.0006944444444444445, 0.0005324074074074074, 0.46520833333333333, 0.7340277777777777, 0.16724537037037038, 0.06493055555555556, 0.562962962962963, 0.1335648148148148, 0.003472222222222222, 0.9020833333333333, 0.0125, 0.25277777777777777, 0.16319444444444445, 0.06666666666666667, 0.23715277777777777, 0.20127314814814815, 0.22824074074074074, 0.9333333333333333, 0.0002777777777777778, 0.7045833333333333, 0.032407407407407406, 0.19745370370370371, 0.23587962962962963, 0.030787037037037036, 0.1986111111111111, 0.034027777777777775, 0.001736111111111111, 0.0045138888888888885, 0.22604166666666667, 0.23576388888888888, 0.002777777777777778, 0.0012731481481481483, 0.23726851851851852, 0.221875, 0.2013888888888889, 0.23506944444444444, 0.028819444444444446, 0.1996527777777778, 0.940162037037037, 0.032824074074074075, 0.20166666666666666, 0.2660416666666667, 0.0013194444444444445, 0.6652777777777777, 0.26252314814814814, 0.47150462962962963, 0.46319444444444446, 0.23402777777777778, 0.0006944444444444445, 0.0004398148148148148, 0.4655324074074074, 0.4326388888888889, 0.03648148148148148, 0.13400462962962964, 0.06608796296296296, 0.03287037037037037, 0.0022916666666666667, 0.4629861111111111, 4.6296296296296294e-05, 0.004120370370370371, 0.2625, 0.16550925925925927, 0.0011574074074074073, 0.4673611111111111, 0.26180555555555557, 0.0011574074074074073, 0.4391203703703704, 0.2642361111111111, 0.002013888888888889, 0.46569444444444447, 0.23194444444444445, 0.1326388888888889, 0.06766203703703703, 0.03657407407407407, 0.6619675925925926, 0.46782407407407406, 0.0 ], "type_event": [ 7, 7, 7, 0, 7, 0, 7, 0, 1, 7, 0, 0, 0, 0, 6, 7, 4, 7, 11, 6, 0, 0, 0, 7, 0, 7, 7, 0, 11, 11, 7, 7, 14, 7, 0, 14, 7, 7, 0, 11, 0, 0, 0, 0, 0, 0, 0, 0, 0, 11, 7, 7, 0, 7, 0, 0, 0, 0, 6, 4, 7, 7, 0, 7, 7, 0, 0, 3, 6, 0, 0, 0, 7, 0, 7, 6, 0, 0, 11, 0, 0, 7, 0, 0, 0, 7, 0, 3, 7, 7, 14, 0, 0, 0, 0, 9, 0, 7, 0 ], "type_text": [ "Battery", "Battery", "Battery", "Theft", "Battery", "Theft", "Battery", "Theft", "Weapons Violation", "Battery", "Theft", "Theft", "Theft", "Theft", "Criminal Damage", "Battery", "Motor Vehicle Theft", "Battery", "Robbery", "Criminal Damage", "Theft", "Theft", "Theft", "Battery", "Theft", "Battery", "Battery", "Theft", "Robbery", "Robbery", "Battery", "Battery", "Criminal Sexual Assault", "Battery", "Theft", "Criminal Sexual Assault", "Battery", "Battery", "Theft", "Robbery", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Robbery", "Battery", "Battery", "Theft", "Battery", "Theft", "Theft", "Theft", "Theft", "Criminal Damage", "Motor Vehicle Theft", "Battery", "Battery", "Theft", "Battery", "Battery", "Theft", "Theft", "Deceptive Practice", "Criminal Damage", "Theft", "Theft", "Theft", "Battery", "Theft", "Battery", "Criminal Damage", "Theft", "Theft", "Robbery", "Theft", "Theft", "Battery", "Theft", "Theft", "Theft", "Battery", "Theft", "Deceptive Practice", "Battery", "Battery", "Criminal Sexual Assault", "Theft", "Theft", "Theft", "Theft", "Assault", "Theft", "Battery", "Theft" ], "description": "The sequence of crime incidents shows a notable prevalence of Battery incidents occurring early in the timeline, particularly within the first few months. Theft incidents begin to emerge around the two-month mark and become increasingly frequent, peaking in the later months of the sequence. Other crime types, such as Robbery and Criminal Damage, appear sporadically throughout the timeline, with some clustering in the middle to later months. Criminal Sexual Assault incidents are also recorded, primarily in the later stages of the sequence. Overall, the data indicates a shift from a higher concentration of Battery incidents to a more diverse array of crime types, particularly Theft, as time progresses." }, { "dim_process": 20, "seq_idx": 115, "seq_len": 49, "time_since_start": [ 0.0, 1.0604166666666666, 1.9444444444444444, 4.229907407407407, 5.158333333333333, 5.195833333333334, 5.436111111111111, 6.8996759259259255, 7.94587962962963, 8.131712962962963, 8.511365740740741, 8.544560185185185, 9.075347222222222, 9.164282407407407, 9.222222222222221, 9.577800925925926, 10.232407407407408, 10.233101851851853, 10.496875, 10.506944444444445, 10.63888888888889, 11.039351851851851, 11.99349537037037, 12.798101851851852, 12.91113425925926, 13.23263888888889, 13.57013888888889, 14.221527777777778, 14.255555555555556, 14.707638888888889, 14.8875, 15.29375, 15.321296296296296, 15.322222222222223, 15.33125, 15.331712962962962, 15.554166666666667, 15.630555555555556, 15.65625, 16.522222222222222, 17.533680555555556, 17.83888888888889, 18.04861111111111, 19.934722222222224, 19.943055555555556, 19.953587962962963, 20.07777777777778, 20.964583333333334, 23.79513888888889 ], "time_since_last_event": [ 0.0, 1.0604166666666666, 0.8840277777777777, 2.285462962962963, 0.9284259259259259, 0.0375, 0.24027777777777778, 1.4635648148148148, 1.0462037037037037, 0.18583333333333332, 0.3796527777777778, 0.03319444444444444, 0.530787037037037, 0.08893518518518519, 0.05793981481481481, 0.3555787037037037, 0.6546064814814815, 0.0006944444444444445, 0.2637731481481482, 0.010069444444444445, 0.13194444444444445, 0.40046296296296297, 0.9541435185185185, 0.8046064814814815, 0.1130324074074074, 0.3215046296296296, 0.3375, 0.6513888888888889, 0.034027777777777775, 0.45208333333333334, 0.1798611111111111, 0.40625, 0.027546296296296298, 0.000925925925925926, 0.009027777777777777, 0.000462962962962963, 0.2224537037037037, 0.0763888888888889, 0.025694444444444443, 0.8659722222222223, 1.0114583333333333, 0.30520833333333336, 0.20972222222222223, 1.886111111111111, 0.008333333333333333, 0.010532407407407407, 0.12418981481481481, 0.8868055555555555, 2.8305555555555557 ], "type_event": [ 0, 7, 3, 2, 8, 9, 4, 5, 3, 7, 7, 11, 18, 11, 0, 0, 7, 7, 8, 4, 4, 11, 0, 0, 11, 7, 0, 9, 4, 4, 4, 7, 4, 4, 7, 7, 0, 1, 4, 4, 4, 4, 4, 0, 0, 0, 4, 0, 7 ], "type_text": [ "Theft", "Battery", "Deceptive Practice", "Sex Offense", "Other Offense", "Assault", "Motor Vehicle Theft", "Criminal Trespass", "Deceptive Practice", "Battery", "Battery", "Robbery", "Public Peace Violation", "Robbery", "Theft", "Theft", "Battery", "Battery", "Other Offense", "Motor Vehicle Theft", "Motor Vehicle Theft", "Robbery", "Theft", "Theft", "Robbery", "Battery", "Theft", "Assault", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Battery", "Motor Vehicle Theft", "Motor Vehicle Theft", "Battery", "Battery", "Theft", "Weapons Violation", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Theft", "Theft", "Theft", "Motor Vehicle Theft", "Theft", "Battery" ], "description": "The sequence of crime incidents shows a progression of various crime types over time, with notable clusters of specific offenses. Initially, theft and battery incidents occur early in the timeline, followed by a mix of offenses such as deceptive practices and sexual offenses. A significant increase in motor vehicle thefts is observed in the later months, particularly around the 15-month mark, where multiple incidents occur in close succession. Additionally, theft incidents appear to rise again towards the end of the timeline, indicating a potential pattern of increased criminal activity in that category. Overall, the sequence reflects a trend of escalating motor vehicle thefts and a recurring presence of battery and theft offenses throughout the timeline." }, { "dim_process": 20, "seq_idx": 116, "seq_len": 35, "time_since_start": [ 0.0, 1.567824074074074, 3.1302083333333335, 3.9613194444444444, 4.446689814814815, 4.935949074074074, 5.686458333333333, 7.128472222222222, 7.167476851851852, 7.988125, 9.285416666666666, 10.492824074074074, 11.715972222222222, 12.085787037037036, 12.418541666666666, 15.025694444444444, 15.483449074074073, 15.566435185185185, 15.66875, 16.103472222222223, 16.771064814814814, 17.35789351851852, 18.76474537037037, 18.913078703703704, 18.961805555555557, 18.963310185185186, 18.963402777777777, 19.015625, 19.195138888888888, 19.290972222222223, 20.28125, 20.352083333333333, 20.432662037037037, 21.31597222222222, 21.825347222222224 ], "time_since_last_event": [ 0.0, 1.567824074074074, 1.5623842592592592, 0.8311111111111111, 0.4853703703703704, 0.4892592592592593, 0.7505092592592593, 1.442013888888889, 0.03900462962962963, 0.8206481481481481, 1.2972916666666667, 1.2074074074074075, 1.223148148148148, 0.3698148148148148, 0.33275462962962965, 2.607152777777778, 0.45775462962962965, 0.08298611111111111, 0.10231481481481482, 0.43472222222222223, 0.6675925925925926, 0.5868287037037037, 1.4068518518518518, 0.14833333333333334, 0.048726851851851855, 0.0015046296296296296, 9.259259259259259e-05, 0.052222222222222225, 0.1795138888888889, 0.09583333333333334, 0.9902777777777778, 0.07083333333333333, 0.08057870370370371, 0.8833101851851852, 0.509375 ], "type_event": [ 9, 10, 7, 1, 9, 11, 9, 7, 9, 0, 3, 7, 4, 16, 1, 9, 3, 3, 13, 4, 4, 1, 16, 7, 0, 15, 19, 3, 6, 4, 3, 0, 7, 3, 6 ], "type_text": [ "Assault", "Burglary", "Battery", "Weapons Violation", "Assault", "Robbery", "Assault", "Battery", "Assault", "Theft", "Deceptive Practice", "Battery", "Motor Vehicle Theft", "Narcotics", "Weapons Violation", "Assault", "Deceptive Practice", "Deceptive Practice", "Offense Involving Children", "Motor Vehicle Theft", "Motor Vehicle Theft", "Weapons Violation", "Narcotics", "Battery", "Theft", "Interference With Public Officer", "Homicide", "Deceptive Practice", "Criminal Damage", "Motor Vehicle Theft", "Deceptive Practice", "Theft", "Battery", "Deceptive Practice", "Criminal Damage" ], "description": "The sequence of crime incidents shows a progression of various crime types over time, with certain types appearing more frequently in clusters. Assaults and batteries are notably present in the earlier months, while property crimes such as theft and motor vehicle theft increase in frequency later in the timeline. Deceptive practices emerge consistently throughout the sequence, particularly clustered in the later months. Weapons violations and narcotics offenses also appear intermittently, indicating a varied pattern of incidents occurring at different intervals. Overall, there is a noticeable shift from violent crimes to property-related offenses as time progresses." }, { "dim_process": 20, "seq_idx": 117, "seq_len": 32, "time_since_start": [ 0.0, 0.03333333333333333, 0.28125, 0.9791666666666666, 1.5333333333333334, 1.6000694444444445, 1.9886805555555556, 3.0456018518518517, 3.265277777777778, 3.379166666666667, 3.529166666666667, 4.095833333333333, 4.766689814814815, 4.8, 5.744212962962963, 6.766203703703703, 6.9125, 13.794791666666667, 15.166666666666666, 15.2, 17.36826388888889, 17.93263888888889, 17.97013888888889, 18.461111111111112, 19.014375, 19.01826388888889, 19.051111111111112, 19.148796296296297, 19.986064814814814, 22.731944444444444, 22.766689814814814, 22.998402777777777 ], "time_since_last_event": [ 0.0, 0.03333333333333333, 0.24791666666666667, 0.6979166666666666, 0.5541666666666667, 0.06673611111111111, 0.38861111111111113, 1.0569212962962964, 0.2196759259259259, 0.11388888888888889, 0.15, 0.5666666666666667, 0.6708564814814815, 0.033310185185185186, 0.944212962962963, 1.0219907407407407, 0.14629629629629629, 6.882291666666666, 1.371875, 0.03333333333333333, 2.1682638888888888, 0.564375, 0.0375, 0.4909722222222222, 0.5532638888888889, 0.0038888888888888888, 0.03284722222222222, 0.09768518518518518, 0.8372685185185185, 2.7458796296296297, 0.03474537037037037, 0.23171296296296295 ], "type_event": [ 5, 0, 7, 7, 0, 7, 10, 7, 0, 4, 0, 7, 6, 6, 6, 0, 10, 7, 3, 7, 6, 9, 9, 0, 0, 0, 0, 7, 7, 9, 8, 0 ], "type_text": [ "Criminal Trespass", "Theft", "Battery", "Battery", "Theft", "Battery", "Burglary", "Battery", "Theft", "Motor Vehicle Theft", "Theft", "Battery", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Theft", "Burglary", "Battery", "Deceptive Practice", "Battery", "Criminal Damage", "Assault", "Assault", "Theft", "Theft", "Theft", "Theft", "Battery", "Battery", "Assault", "Other Offense", "Theft" ], "description": "The sequence of crime incidents begins with a Criminal Trespass and a Theft occurring within the first month. Battery incidents appear intermittently, with notable clusters around the 1 to 4-month mark. The frequency of Theft increases significantly after the 3-month point, with multiple occurrences in the later months, particularly between 18 and 23 months. Criminal Damage also shows a notable presence, primarily clustered between 4 and 6 months, while Burglary incidents are reported at 1.99 and 6.91 months. Assaults are concentrated towards the later part of the timeline, occurring around 17 to 23 months." }, { "dim_process": 20, "seq_idx": 118, "seq_len": 35, "time_since_start": [ 0.0, 1.126273148148148, 1.229050925925926, 1.7234953703703704, 2.9068287037037037, 4.170069444444445, 4.827662037037037, 5.2741898148148145, 5.374884259259259, 6.800578703703704, 7.1693287037037035, 7.4193287037037035, 7.791550925925926, 7.91875, 8.906828703703704, 9.31974537037037, 9.855671296296297, 10.29023148148148, 10.924652777777778, 13.70111111111111, 13.82349537037037, 14.947106481481482, 15.241550925925926, 15.986828703703704, 16.15613425925926, 17.869050925925926, 18.019328703703703, 19.756828703703704, 20.58877314814815, 21.253009259259258, 21.35266203703704, 21.39821759259259, 21.559930555555557, 22.35763888888889, 23.863773148148148 ], "time_since_last_event": [ 0.0, 1.126273148148148, 0.10277777777777777, 0.49444444444444446, 1.1833333333333333, 1.2632407407407407, 0.6575925925925926, 0.4465277777777778, 0.10069444444444445, 1.4256944444444444, 0.36875, 0.25, 0.37222222222222223, 0.12719907407407408, 0.9880787037037037, 0.41291666666666665, 0.5359259259259259, 0.4345601851851852, 0.6344212962962963, 2.7764583333333333, 0.12238425925925926, 1.1236111111111111, 0.29444444444444445, 0.7452777777777778, 0.16930555555555554, 1.7129166666666666, 0.1502777777777778, 1.7375, 0.8319444444444445, 0.6642361111111111, 0.09965277777777778, 0.04555555555555556, 0.16171296296296298, 0.7977083333333334, 1.5061342592592593 ], "type_event": [ 9, 7, 8, 9, 0, 6, 2, 7, 6, 8, 10, 7, 6, 7, 3, 7, 9, 9, 7, 13, 6, 0, 6, 7, 0, 11, 0, 0, 9, 7, 0, 6, 9, 9, 3 ], "type_text": [ "Assault", "Battery", "Other Offense", "Assault", "Theft", "Criminal Damage", "Sex Offense", "Battery", "Criminal Damage", "Other Offense", "Burglary", "Battery", "Criminal Damage", "Battery", "Deceptive Practice", "Battery", "Assault", "Assault", "Battery", "Offense Involving Children", "Criminal Damage", "Theft", "Criminal Damage", "Battery", "Theft", "Robbery", "Theft", "Theft", "Assault", "Battery", "Theft", "Criminal Damage", "Assault", "Assault", "Deceptive Practice" ], "description": "The sequence of crime incidents shows a variety of crime types occurring over time, with notable clustering of certain events. Assaults and batteries appear frequently in the earlier months, particularly within the first year. Criminal damage incidents begin to emerge after the first few months and continue to appear throughout the sequence, often in close succession. The occurrence of thefts increases significantly in the later months, with multiple incidents reported in a relatively short timeframe. Overall, there is a mix of violent and property crimes, with certain types like assault and battery dominating the initial period, while theft and criminal damage become more prominent as time progresses." }, { "dim_process": 20, "seq_idx": 119, "seq_len": 51, "time_since_start": [ 0.0, 0.37222222222222223, 0.9770833333333333, 1.3349537037037038, 1.7226851851851852, 2.318773148148148, 2.828472222222222, 3.152083333333333, 3.3631944444444444, 3.63125, 3.9875, 4.2659722222222225, 4.6305555555555555, 4.895138888888889, 5.252083333333333, 5.314583333333333, 5.81875, 6.302083333333333, 6.602083333333334, 7.028587962962963, 7.707638888888889, 7.83599537037037, 7.901296296296296, 8.179166666666667, 8.790972222222223, 8.795601851851853, 9.153726851851852, 9.525694444444444, 10.47048611111111, 10.970833333333333, 11.153472222222222, 12.516435185185186, 13.166666666666666, 14.287824074074074, 14.845138888888888, 15.085810185185185, 15.314699074074074, 16.26851851851852, 16.33212962962963, 16.463819444444443, 16.810694444444444, 17.571319444444445, 18.31712962962963, 18.518125, 18.787592592592592, 19.035069444444446, 19.047685185185184, 19.144444444444446, 20.10925925925926, 20.932986111111113, 21.571527777777778 ], "time_since_last_event": [ 0.0, 0.37222222222222223, 0.6048611111111111, 0.3578703703703704, 0.38773148148148145, 0.596087962962963, 0.5096990740740741, 0.3236111111111111, 0.2111111111111111, 0.26805555555555555, 0.35625, 0.27847222222222223, 0.3645833333333333, 0.26458333333333334, 0.35694444444444445, 0.0625, 0.5041666666666667, 0.48333333333333334, 0.3, 0.42650462962962965, 0.679050925925926, 0.1283564814814815, 0.06530092592592593, 0.2778703703703704, 0.6118055555555556, 0.004629629629629629, 0.358125, 0.3719675925925926, 0.9447916666666667, 0.5003472222222223, 0.18263888888888888, 1.362962962962963, 0.6502314814814815, 1.1211574074074073, 0.5573148148148148, 0.2406712962962963, 0.2288888888888889, 0.9538194444444444, 0.0636111111111111, 0.13168981481481482, 0.346875, 0.760625, 0.7458101851851852, 0.20099537037037038, 0.2694675925925926, 0.24747685185185186, 0.012615740740740742, 0.09675925925925925, 0.9648148148148148, 0.8237268518518519, 0.6385416666666667 ], "type_event": [ 9, 8, 0, 16, 0, 6, 6, 14, 6, 6, 7, 9, 9, 0, 3, 0, 13, 6, 3, 6, 6, 0, 0, 9, 6, 6, 0, 0, 6, 0, 9, 9, 7, 7, 6, 1, 11, 7, 9, 3, 18, 9, 8, 18, 7, 7, 0, 0, 7, 0, 4 ], "type_text": [ "Assault", "Other Offense", "Theft", "Narcotics", "Theft", "Criminal Damage", "Criminal Damage", "Criminal Sexual Assault", "Criminal Damage", "Criminal Damage", "Battery", "Assault", "Assault", "Theft", "Deceptive Practice", "Theft", "Offense Involving Children", "Criminal Damage", "Deceptive Practice", "Criminal Damage", "Criminal Damage", "Theft", "Theft", "Assault", "Criminal Damage", "Criminal Damage", "Theft", "Theft", "Criminal Damage", "Theft", "Assault", "Assault", "Battery", "Battery", "Criminal Damage", "Weapons Violation", "Robbery", "Battery", "Assault", "Deceptive Practice", "Public Peace Violation", "Assault", "Other Offense", "Public Peace Violation", "Battery", "Battery", "Theft", "Theft", "Battery", "Theft", "Motor Vehicle Theft" ], "description": "The sequence of crime incidents shows a diverse range of offenses occurring over time, with notable clusters of specific crime types. Assaults and thefts appear frequently throughout the timeline, with multiple occurrences in the later months. Criminal damage incidents are particularly prevalent in the middle of the timeline, while deceptive practices and battery offenses also emerge in various clusters. Overall, there is a noticeable increase in the frequency of incidents as the timeline progresses, with certain types of crimes, such as theft and assault, appearing more consistently in the latter months." }, { "dim_process": 20, "seq_idx": 120, "seq_len": 36, "time_since_start": [ 0.0, 0.0975, 0.13199074074074074, 1.4451851851851851, 1.8106944444444444, 2.696458333333333, 3.3026157407407406, 3.3350694444444446, 3.4384722222222224, 3.7794444444444446, 4.039166666666667, 4.644236111111111, 6.306875, 7.833263888888889, 8.118333333333334, 9.23324074074074, 9.332222222222223, 10.605833333333333, 10.880138888888888, 11.281550925925925, 13.962337962962962, 14.0475, 14.73638888888889, 14.866458333333334, 14.954421296296296, 14.969976851851852, 15.525393518518518, 16.387453703703702, 17.072777777777777, 19.1475, 19.47875, 19.8725, 20.34298611111111, 20.87064814814815, 22.260787037037037, 22.679444444444446 ], "time_since_last_event": [ 0.0, 0.0975, 0.03449074074074074, 1.3131944444444446, 0.36550925925925926, 0.8857638888888889, 0.6061574074074074, 0.03245370370370371, 0.10340277777777777, 0.34097222222222223, 0.25972222222222224, 0.6050694444444444, 1.662638888888889, 1.5263888888888888, 0.28506944444444443, 1.1149074074074075, 0.09898148148148148, 1.273611111111111, 0.2743055555555556, 0.40141203703703704, 2.680787037037037, 0.08516203703703704, 0.6888888888888889, 0.13006944444444443, 0.08796296296296297, 0.015555555555555555, 0.5554166666666667, 0.8620601851851852, 0.685324074074074, 2.0747222222222224, 0.33125, 0.39375, 0.4704861111111111, 0.5276620370370371, 1.3901388888888888, 0.4186574074074074 ], "type_event": [ 7, 7, 7, 7, 6, 11, 5, 16, 7, 13, 7, 6, 0, 0, 4, 0, 3, 0, 6, 6, 16, 3, 0, 0, 7, 8, 7, 6, 13, 3, 0, 10, 0, 9, 8, 0 ], "type_text": [ "Battery", "Battery", "Battery", "Battery", "Criminal Damage", "Robbery", "Criminal Trespass", "Narcotics", "Battery", "Offense Involving Children", "Battery", "Criminal Damage", "Theft", "Theft", "Motor Vehicle Theft", "Theft", "Deceptive Practice", "Theft", "Criminal Damage", "Criminal Damage", "Narcotics", "Deceptive Practice", "Theft", "Theft", "Battery", "Other Offense", "Battery", "Criminal Damage", "Offense Involving Children", "Deceptive Practice", "Theft", "Burglary", "Theft", "Assault", "Other Offense", "Theft" ], "description": "The sequence of crime incidents shows a notable clustering of battery offenses occurring primarily in the initial months, with multiple incidents reported within the first 1.5 months. Following this, there is a shift towards a variety of crime types, including criminal damage and theft, which become more prevalent in the later months. The theft incidents appear to increase significantly after the 6-month mark, with a peak around the 20-month mark. Additionally, deceptive practices and other offenses are reported sporadically throughout the timeline, indicating a diverse range of criminal activities emerging as time progresses." }, { "dim_process": 20, "seq_idx": 121, "seq_len": 47, "time_since_start": [ 0.0, 0.6755787037037037, 1.5484259259259259, 1.5983796296296295, 2.646412037037037, 3.475578703703704, 4.276967592592593, 4.410416666666666, 4.531481481481482, 5.739467592592592, 7.058217592592593, 7.306828703703704, 7.602546296296296, 7.844328703703703, 7.978587962962963, 8.342245370370371, 8.414467592592592, 8.822800925925925, 9.68761574074074, 9.825578703703703, 10.86724537037037, 11.400578703703705, 11.906828703703704, 12.15087962962963, 12.710648148148149, 13.525, 13.81800925925926, 14.607523148148148, 14.645717592592593, 14.761689814814815, 14.762384259259258, 14.966550925925926, 15.608935185185185, 15.62974537037037, 15.733217592592593, 17.123333333333335, 17.97488425925926, 18.360300925925927, 19.99224537037037, 20.308935185185184, 20.356828703703705, 20.75958333333333, 20.908217592592592, 20.99761574074074, 21.18773148148148, 21.933564814814815, 22.47488425925926 ], "time_since_last_event": [ 0.0, 0.6755787037037037, 0.8728472222222222, 0.0499537037037037, 1.0480324074074074, 0.8291666666666667, 0.8013888888888889, 0.13344907407407408, 0.12106481481481482, 1.2079861111111112, 1.31875, 0.24861111111111112, 0.2957175925925926, 0.24178240740740742, 0.13425925925925927, 0.36365740740740743, 0.07222222222222222, 0.4083333333333333, 0.8648148148148148, 0.13796296296296295, 1.0416666666666667, 0.5333333333333333, 0.50625, 0.24405092592592592, 0.5597685185185185, 0.8143518518518519, 0.29300925925925925, 0.7895138888888888, 0.03819444444444445, 0.11597222222222223, 0.0006944444444444445, 0.20416666666666666, 0.6423842592592592, 0.020810185185185185, 0.10347222222222222, 1.3901157407407407, 0.851550925925926, 0.3854166666666667, 1.6319444444444444, 0.31668981481481484, 0.047893518518518516, 0.40275462962962966, 0.14863425925925927, 0.08939814814814814, 0.19011574074074075, 0.7458333333333333, 0.5413194444444445 ], "type_event": [ 7, 3, 7, 11, 11, 3, 6, 6, 0, 4, 6, 4, 11, 4, 6, 0, 8, 3, 8, 3, 9, 3, 4, 1, 0, 0, 11, 7, 0, 3, 4, 4, 3, 6, 0, 8, 11, 6, 3, 4, 2, 8, 7, 8, 0, 9, 4 ], "type_text": [ "Battery", "Deceptive Practice", "Battery", "Robbery", "Robbery", "Deceptive Practice", "Criminal Damage", "Criminal Damage", "Theft", "Motor Vehicle Theft", "Criminal Damage", "Motor Vehicle Theft", "Robbery", "Motor Vehicle Theft", "Criminal Damage", "Theft", "Other Offense", "Deceptive Practice", "Other Offense", "Deceptive Practice", "Assault", "Deceptive Practice", "Motor Vehicle Theft", "Weapons Violation", "Theft", "Theft", "Robbery", "Battery", "Theft", "Deceptive Practice", "Motor Vehicle Theft", "Motor Vehicle Theft", "Deceptive Practice", "Criminal Damage", "Theft", "Other Offense", "Robbery", "Criminal Damage", "Deceptive Practice", "Motor Vehicle Theft", "Sex Offense", "Other Offense", "Battery", "Other Offense", "Theft", "Assault", "Motor Vehicle Theft" ], "description": "The sequence of crime incidents begins with Battery and Deceptive Practice occurring in the initial months, followed by a mix of Robbery and Theft events clustered around the 1.5 to 3.5-month mark. Criminal Damage incidents emerge prominently between 4 and 8 months, alongside a series of Motor Vehicle Theft occurrences. As the timeline progresses, Deceptive Practice resurfaces frequently, particularly around the 10 to 20-month range, with a notable increase in Other Offense and Theft incidents towards the end of the sequence. Overall, there is a pattern of clustering for certain crime types within specific timeframes, with Motor Vehicle Theft and Deceptive Practice appearing multiple times throughout the sequence." }, { "dim_process": 20, "seq_idx": 122, "seq_len": 92, "time_since_start": [ 0.0, 0.15578703703703703, 0.3899537037037037, 0.48842592592592593, 0.5224537037037037, 0.9481481481481482, 1.764837962962963, 3.018287037037037, 3.018287037037037, 3.348148148148148, 3.4319212962962964, 3.575925925925926, 3.653703703703704, 4.064814814814815, 4.121759259259259, 4.132638888888889, 4.2058333333333335, 4.362037037037037, 4.624143518518519, 5.159837962962963, 5.549768518518518, 5.729212962962963, 6.460648148148148, 6.8627314814814815, 6.927847222222222, 7.043981481481482, 7.236875, 7.364837962962963, 7.379745370370371, 7.827824074074074, 8.241898148148149, 9.045949074074073, 9.392592592592592, 9.485069444444445, 9.485648148148147, 9.498148148148148, 9.521180555555556, 10.244212962962964, 10.680787037037037, 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9, 6, 0, 6, 7, 7, 7, 6, 7, 6, 7, 7, 9, 7, 0, 7, 9, 10, 10, 7, 6, 0, 7, 10, 9, 6, 7, 9, 7, 7, 0, 4, 4, 4, 9, 7, 14, 0, 6, 6, 11, 8, 7, 7, 9, 7, 0, 5, 9, 7, 0, 7, 7, 12, 0, 9, 6, 7, 11, 10, 0, 7, 9, 7, 0, 0, 7 ], "type_text": [ "Criminal Damage", "Battery", "Assault", "Battery", "Battery", "Theft", "Burglary", "Other Offense", "Battery", "Deceptive Practice", "Weapons Violation", "Deceptive Practice", "Assault", "Theft", "Battery", "Battery", "Battery", "Theft", "Assault", "Battery", "Battery", "Criminal Damage", "Battery", "Theft", "Battery", "Assault", "Criminal Damage", "Theft", "Criminal Damage", "Battery", "Battery", "Battery", "Criminal Damage", "Battery", "Criminal Damage", "Battery", "Battery", "Assault", "Battery", "Theft", "Battery", "Assault", "Burglary", "Burglary", "Battery", "Criminal Damage", "Theft", "Battery", "Burglary", "Assault", "Criminal Damage", "Battery", "Assault", "Battery", "Battery", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Assault", "Battery", "Criminal Sexual Assault", "Theft", "Criminal Damage", "Criminal Damage", "Robbery", "Other Offense", "Battery", "Battery", "Assault", "Battery", "Theft", "Criminal Trespass", "Assault", "Battery", "Theft", "Battery", "Battery", "Arson", "Theft", "Assault", "Criminal Damage", "Battery", "Robbery", "Burglary", "Theft", "Battery", "Assault", "Battery", "Theft", "Theft", "Battery" ], "description": "The sequence of crime incidents shows a notable clustering of battery incidents throughout the timeline, particularly in the early months and again in the later months. Criminal damage incidents appear consistently, with occurrences spread throughout the timeline, while theft incidents tend to increase in frequency after the first year. Burglary events are concentrated in the middle of the timeline, and there are isolated spikes of other offenses, including motor vehicle theft and robbery, towards the end of the sequence. Assault incidents are relatively frequent and appear at various points, indicating a sustained presence throughout the timeline." }, { "dim_process": 20, "seq_idx": 123, "seq_len": 72, "time_since_start": [ 0.0, 2.627199074074074, 4.043055555555555, 4.066666666666666, 4.538888888888889, 4.8, 4.938888888888889, 5.057291666666667, 6.09, 7.039583333333334, 7.129652777777777, 7.239467592592592, 7.520833333333333, 7.725347222222222, 7.861064814814815, 7.887731481481482, 7.899537037037037, 8.18349537037037, 8.358888888888888, 8.722523148148149, 9.485416666666667, 9.588888888888889, 9.748217592592592, 9.916203703703705, 9.920833333333333, 9.938888888888888, 9.963888888888889, 9.991666666666667, 10.001388888888888, 10.002777777777778, 10.338888888888889, 10.3875, 10.490578703703704, 10.589907407407408, 10.605555555555556, 10.660370370370371, 10.770833333333334, 10.85, 11.321782407407408, 11.338888888888889, 11.48837962962963, 11.656412037037038, 11.685254629629629, 11.821064814814815, 12.03888888888889, 12.272222222222222, 12.834027777777777, 12.954050925925927, 13.015694444444444, 13.915972222222223, 14.19212962962963, 14.192361111111111, 15.705578703703704, 15.773958333333333, 17.064583333333335, 17.313194444444445, 17.55733796296296, 17.805555555555557, 17.99416666666667, 18.105578703703703, 18.22222222222222, 18.572222222222223, 18.837453703703705, 18.916666666666668, 19.85363425925926, 20.805555555555557, 21.13888888888889, 21.18888888888889, 21.348148148148148, 21.604166666666668, 22.194444444444443, 22.288032407407407 ], "time_since_last_event": [ 0.0, 2.627199074074074, 1.4158564814814816, 0.02361111111111111, 0.4722222222222222, 0.2611111111111111, 0.1388888888888889, 0.11840277777777777, 1.0327083333333333, 0.9495833333333333, 0.09006944444444444, 0.10981481481481481, 0.2813657407407407, 0.20451388888888888, 0.13571759259259258, 0.02666666666666667, 0.011805555555555555, 0.2839583333333333, 0.17539351851851853, 0.36363425925925924, 0.7628935185185185, 0.10347222222222222, 0.1593287037037037, 0.1679861111111111, 0.004629629629629629, 0.018055555555555554, 0.025, 0.027777777777777776, 0.009722222222222222, 0.001388888888888889, 0.33611111111111114, 0.04861111111111111, 0.1030787037037037, 0.0993287037037037, 0.015648148148148147, 0.054814814814814816, 0.11046296296296296, 0.07916666666666666, 0.4717824074074074, 0.017106481481481483, 0.14949074074074073, 0.1680324074074074, 0.028842592592592593, 0.13581018518518517, 0.2178240740740741, 0.23333333333333334, 0.5618055555555556, 0.12002314814814814, 0.06164351851851852, 0.9002777777777777, 0.2761574074074074, 0.0002314814814814815, 1.5132175925925926, 0.06837962962962962, 1.290625, 0.24861111111111112, 0.2441435185185185, 0.2482175925925926, 0.18861111111111112, 0.11141203703703703, 0.11664351851851852, 0.35, 0.26523148148148146, 0.07921296296296296, 0.9369675925925925, 0.9519212962962963, 0.3333333333333333, 0.05, 0.15925925925925927, 0.25601851851851853, 0.5902777777777778, 0.09358796296296296 ], "type_event": [ 6, 0, 4, 7, 0, 0, 4, 0, 0, 0, 11, 6, 3, 0, 5, 0, 7, 7, 10, 0, 0, 0, 0, 4, 0, 0, 0, 10, 10, 10, 0, 0, 10, 10, 3, 4, 0, 10, 0, 0, 0, 10, 10, 0, 6, 3, 7, 3, 7, 9, 0, 3, 4, 4, 0, 11, 0, 4, 0, 3, 0, 0, 3, 0, 0, 4, 10, 0, 7, 0, 0, 0 ], "type_text": [ "Criminal Damage", "Theft", "Motor Vehicle Theft", "Battery", "Theft", "Theft", "Motor Vehicle Theft", "Theft", "Theft", "Theft", "Robbery", "Criminal Damage", "Deceptive Practice", "Theft", "Criminal Trespass", "Theft", "Battery", "Battery", "Burglary", "Theft", "Theft", "Theft", "Theft", "Motor Vehicle Theft", "Theft", "Theft", "Theft", "Burglary", "Burglary", "Burglary", "Theft", "Theft", "Burglary", "Burglary", "Deceptive Practice", "Motor Vehicle Theft", "Theft", "Burglary", "Theft", "Theft", "Theft", "Burglary", "Burglary", "Theft", "Criminal Damage", "Deceptive Practice", "Battery", "Deceptive Practice", "Battery", "Assault", "Theft", "Deceptive Practice", "Motor Vehicle Theft", "Motor Vehicle Theft", "Theft", "Robbery", "Theft", "Motor Vehicle Theft", "Theft", "Deceptive Practice", "Theft", "Theft", "Deceptive Practice", "Theft", "Theft", "Motor Vehicle Theft", "Burglary", "Theft", "Battery", "Theft", "Theft", "Theft" ], "description": "The sequence of crime incidents in Chicago reveals a pattern where theft-related crimes are the most frequent and occur throughout the timeline, particularly clustering in the middle months. Criminal damage incidents appear early and again later in the sequence, while battery and robbery incidents are more concentrated in the mid to later months. Motor vehicle thefts are also prevalent, with occurrences appearing sporadically but consistently over time. Burglary incidents tend to cluster towards the later months, indicating a trend of increasing severity as the timeline progresses. Deceptive practices are interspersed throughout, often following theft incidents." }, { "dim_process": 20, "seq_idx": 124, "seq_len": 40, "time_since_start": [ 0.0, 1.0319444444444446, 1.426388888888889, 3.5701388888888888, 4.574305555555555, 5.3217592592592595, 5.977083333333334, 7.576967592592593, 7.927777777777778, 7.940972222222222, 8.66875, 9.48263888888889, 9.635416666666666, 9.70486111111111, 10.139583333333333, 10.36875, 11.996527777777779, 13.204282407407407, 13.40625, 13.885416666666666, 14.704606481481482, 14.838194444444444, 14.964583333333334, 15.334027777777777, 15.549305555555556, 15.575694444444444, 15.784027777777778, 16.197222222222223, 17.173449074074075, 17.395138888888887, 18.471875, 18.610416666666666, 18.879166666666666, 19.56539351851852, 19.76736111111111, 21.459027777777777, 22.06724537037037, 22.37013888888889, 23.09625, 23.268402777777776 ], "time_since_last_event": [ 0.0, 1.0319444444444446, 0.39444444444444443, 2.14375, 1.0041666666666667, 0.7474537037037037, 0.6553240740740741, 1.5998842592592593, 0.3508101851851852, 0.013194444444444444, 0.7277777777777777, 0.8138888888888889, 0.1527777777777778, 0.06944444444444445, 0.43472222222222223, 0.22916666666666666, 1.6277777777777778, 1.2077546296296295, 0.2019675925925926, 0.4791666666666667, 0.8191898148148148, 0.13358796296296296, 0.12638888888888888, 0.36944444444444446, 0.2152777777777778, 0.02638888888888889, 0.20833333333333334, 0.4131944444444444, 0.9762268518518519, 0.2216898148148148, 1.0767361111111111, 0.13854166666666667, 0.26875, 0.6862268518518518, 0.2019675925925926, 1.6916666666666667, 0.6082175925925926, 0.30289351851851853, 0.7261111111111112, 0.17215277777777777 ], "type_event": [ 3, 0, 0, 0, 0, 11, 6, 9, 0, 0, 0, 0, 0, 10, 10, 4, 3, 0, 8, 9, 3, 6, 3, 4, 4, 6, 0, 0, 11, 0, 4, 4, 6, 6, 3, 0, 3, 0, 0, 0 ], "type_text": [ "Deceptive Practice", "Theft", "Theft", "Theft", "Theft", "Robbery", "Criminal Damage", "Assault", "Theft", "Theft", "Theft", "Theft", "Theft", "Burglary", "Burglary", "Motor Vehicle Theft", "Deceptive Practice", "Theft", "Other Offense", "Assault", "Deceptive Practice", "Criminal Damage", "Deceptive Practice", "Motor Vehicle Theft", "Motor Vehicle Theft", "Criminal Damage", "Theft", "Theft", "Robbery", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Criminal Damage", "Criminal Damage", "Deceptive Practice", "Theft", "Deceptive Practice", "Theft", "Theft", "Theft" ], "description": "The sequence of crime incidents shows a pattern where theft is the most frequently reported crime, occurring in multiple clusters, particularly between the first and fourth months, and again around the 21st month. Deceptive practices appear intermittently, with notable occurrences at the beginning, around the 12th month, and again at the 14th month. Other crime types such as robbery, assault, and criminal damage are interspersed throughout the timeline, with some clustering observed around the 7th to 10th months and again towards the 18th month. Motor vehicle theft incidents also appear clustered in the later months, particularly between the 15th and 19th months." }, { "dim_process": 20, "seq_idx": 125, "seq_len": 60, "time_since_start": [ 0.0, 0.16150462962962964, 0.1869675925925926, 0.7910185185185186, 0.8986574074074074, 2.816087962962963, 3.0862731481481482, 3.4632407407407406, 4.858587962962963, 5.63613425925926, 6.746921296296296, 7.000208333333333, 7.28625, 7.348101851851852, 7.49912037037037, 8.347962962962963, 8.685231481481482, 9.260462962962963, 9.33, 9.749513888888888, 10.288981481481482, 10.34738425925926, 10.354907407407408, 11.05212962962963, 13.532800925925926, 13.628333333333334, 13.887083333333333, 14.852916666666667, 15.152592592592592, 15.353587962962964, 15.82037037037037, 16.566342592592594, 17.13349537037037, 17.259074074074075, 17.64865740740741, 17.721805555555555, 17.784305555555555, 17.98273148148148, 18.123541666666668, 18.188240740740742, 18.385231481481483, 18.626203703703705, 18.862986111111113, 18.922962962962963, 19.043078703703703, 19.21115740740741, 19.219768518518517, 19.560694444444444, 19.58395833333333, 19.616712962962964, 19.64865740740741, 19.68113425925926, 19.781296296296297, 20.38625, 20.518402777777776, 21.385, 21.74449074074074, 22.818101851851853, 23.018217592592592, 23.332685185185184 ], "time_since_last_event": [ 0.0, 0.16150462962962964, 0.02546296296296296, 0.6040509259259259, 0.1076388888888889, 1.9174305555555555, 0.2701851851851852, 0.3769675925925926, 1.3953472222222223, 0.7775462962962963, 1.110787037037037, 0.25328703703703703, 0.2860416666666667, 0.06185185185185185, 0.15101851851851852, 0.8488425925925925, 0.3372685185185185, 0.5752314814814815, 0.06953703703703704, 0.4195138888888889, 0.5394675925925926, 0.058402777777777776, 0.007523148148148148, 0.6972222222222222, 2.4806712962962965, 0.09553240740740741, 0.25875, 0.9658333333333333, 0.2996759259259259, 0.20099537037037038, 0.4667824074074074, 0.7459722222222223, 0.5671527777777777, 0.1255787037037037, 0.38958333333333334, 0.07314814814814814, 0.0625, 0.19842592592592592, 0.14081018518518518, 0.06469907407407408, 0.19699074074074074, 0.24097222222222223, 0.2367824074074074, 0.05997685185185185, 0.12011574074074075, 0.1680787037037037, 0.008611111111111111, 0.3409259259259259, 0.02326388888888889, 0.03275462962962963, 0.03194444444444444, 0.032476851851851854, 0.10016203703703704, 0.6049537037037037, 0.13215277777777779, 0.8665972222222222, 0.3594907407407407, 1.073611111111111, 0.20011574074074073, 0.3144675925925926 ], "type_event": [ 8, 0, 11, 9, 0, 7, 3, 6, 1, 1, 0, 8, 5, 0, 0, 7, 0, 0, 0, 0, 0, 0, 0, 0, 8, 9, 1, 5, 0, 0, 15, 1, 1, 0, 8, 8, 9, 0, 0, 9, 0, 5, 3, 11, 0, 3, 0, 11, 0, 0, 0, 0, 0, 11, 7, 0, 5, 9, 9, 11 ], "type_text": [ "Other Offense", "Theft", "Robbery", "Assault", "Theft", "Battery", "Deceptive Practice", "Criminal Damage", "Weapons Violation", "Weapons Violation", "Theft", "Other Offense", "Criminal Trespass", "Theft", "Theft", "Battery", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Other Offense", "Assault", "Weapons Violation", "Criminal Trespass", "Theft", "Theft", "Interference With Public Officer", "Weapons Violation", "Weapons Violation", "Theft", "Other Offense", "Other Offense", "Assault", "Theft", "Theft", "Assault", "Theft", "Criminal Trespass", "Deceptive Practice", "Robbery", "Theft", "Deceptive Practice", "Theft", "Robbery", "Theft", "Theft", "Theft", "Theft", "Theft", "Robbery", "Battery", "Theft", "Criminal Trespass", "Assault", "Assault", "Robbery" ], "description": "The sequence of crime incidents begins with a variety of offenses, including theft and robbery, occurring in the initial months. As time progresses, there is a noticeable clustering of theft incidents, particularly between months 6 and 23, with several occurrences concentrated in the later months. Other offense types, such as assaults and weapons violations, appear sporadically throughout the timeline, with some peaks in activity around months 8 to 10 and again around months 17 to 23. Overall, theft emerges as the most frequent incident type, especially in the latter part of the sequence." }, { "dim_process": 20, "seq_idx": 126, "seq_len": 37, "time_since_start": [ 0.0, 0.4534722222222222, 0.6916666666666667, 2.01087962962963, 2.373611111111111, 3.577777777777778, 3.765277777777778, 3.9469907407407407, 4.517361111111111, 6.438888888888889, 8.592361111111112, 9.393402777777778, 9.745833333333334, 9.788194444444445, 12.125, 13.357407407407408, 13.575, 13.798379629629629, 14.181944444444444, 15.483333333333333, 16.093333333333334, 16.809722222222224, 16.866759259259258, 17.07986111111111, 17.08125, 17.175, 17.27060185185185, 18.046875, 18.670833333333334, 18.683009259259258, 19.277083333333334, 19.591666666666665, 20.719444444444445, 20.887777777777778, 21.384027777777778, 21.391666666666666, 22.291666666666668 ], "time_since_last_event": [ 0.0, 0.4534722222222222, 0.23819444444444443, 1.319212962962963, 0.3627314814814815, 1.2041666666666666, 0.1875, 0.18171296296296297, 0.5703703703703704, 1.9215277777777777, 2.1534722222222222, 0.8010416666666667, 0.3524305555555556, 0.04236111111111111, 2.3368055555555554, 1.2324074074074074, 0.2175925925925926, 0.22337962962962962, 0.3835648148148148, 1.301388888888889, 0.61, 0.7163888888888889, 0.05703703703703704, 0.21310185185185185, 0.001388888888888889, 0.09375, 0.09560185185185185, 0.7762731481481482, 0.6239583333333333, 0.012175925925925925, 0.5940740740740741, 0.3145833333333333, 1.1277777777777778, 0.16833333333333333, 0.49625, 0.007638888888888889, 0.9 ], "type_event": [ 6, 8, 8, 9, 3, 8, 3, 10, 9, 4, 6, 1, 0, 11, 3, 7, 3, 11, 9, 4, 11, 0, 7, 0, 0, 3, 6, 10, 3, 0, 4, 3, 4, 6, 0, 0, 3 ], "type_text": [ "Criminal Damage", "Other Offense", "Other Offense", "Assault", "Deceptive Practice", "Other Offense", "Deceptive Practice", "Burglary", "Assault", "Motor Vehicle Theft", "Criminal Damage", "Weapons Violation", "Theft", "Robbery", "Deceptive Practice", "Battery", "Deceptive Practice", "Robbery", "Assault", "Motor Vehicle Theft", "Robbery", "Theft", "Battery", "Theft", "Theft", "Deceptive Practice", "Criminal Damage", "Burglary", "Deceptive Practice", "Theft", "Motor Vehicle Theft", "Deceptive Practice", "Motor Vehicle Theft", "Criminal Damage", "Theft", "Theft", "Deceptive Practice" ], "description": "The sequence of crime incidents shows a progression of various crime types over time, with a notable clustering of certain offenses. Initially, incidents such as Criminal Damage and Other Offenses occur early in the timeline, followed by a mix of Assaults and Deceptive Practices. As time progresses, there is an increase in Motor Vehicle Thefts and Robberies, particularly in the later months. Deceptive Practices appear multiple times throughout the sequence, indicating a recurring trend, while Theft incidents also cluster towards the latter part of the timeline. Overall, the data reflects a diverse range of offenses with certain types becoming more prominent as time advances." }, { "dim_process": 20, "seq_idx": 127, "seq_len": 40, "time_since_start": [ 0.0, 0.23819444444444443, 1.7208333333333334, 1.790162037037037, 1.797199074074074, 1.8111111111111111, 2.2925925925925927, 4.399050925925926, 5.629837962962963, 6.3961805555555555, 6.517361111111111, 6.992083333333333, 7.950694444444444, 8.690486111111111, 9.135648148148148, 9.313194444444445, 12.034722222222221, 14.311805555555555, 14.479351851851852, 15.04412037037037, 15.099398148148149, 15.217986111111111, 15.381944444444445, 17.479166666666668, 18.291412037037038, 18.566041666666667, 19.15476851851852, 19.24590277777778, 19.826041666666665, 19.854305555555555, 19.986805555555556, 20.014074074074074, 20.105555555555554, 20.367361111111112, 20.646527777777777, 20.664583333333333, 21.74710648148148, 21.860115740740742, 23.611805555555556, 24.14236111111111 ], "time_since_last_event": [ 0.0, 0.23819444444444443, 1.4826388888888888, 0.0693287037037037, 0.007037037037037037, 0.013912037037037037, 0.48148148148148145, 2.1064583333333333, 1.230787037037037, 0.7663425925925926, 0.12118055555555556, 0.4747222222222222, 0.9586111111111111, 0.7397916666666666, 0.44516203703703705, 0.17754629629629629, 2.7215277777777778, 2.277083333333333, 0.1675462962962963, 0.5647685185185185, 0.05527777777777778, 0.11858796296296296, 0.16395833333333334, 2.0972222222222223, 0.8122453703703704, 0.2746296296296296, 0.5887268518518518, 0.09113425925925926, 0.5801388888888889, 0.02826388888888889, 0.1325, 0.02726851851851852, 0.09148148148148148, 0.26180555555555557, 0.2791666666666667, 0.018055555555555554, 1.082523148148148, 0.11300925925925925, 1.7516898148148148, 0.5305555555555556 ], "type_event": [ 0, 0, 0, 9, 6, 13, 7, 9, 7, 11, 3, 1, 6, 7, 6, 3, 7, 7, 8, 7, 9, 8, 9, 6, 7, 0, 0, 6, 8, 7, 9, 6, 5, 9, 9, 6, 7, 7, 3, 6 ], "type_text": [ "Theft", "Theft", "Theft", "Assault", "Criminal Damage", "Offense Involving Children", "Battery", "Assault", "Battery", "Robbery", "Deceptive Practice", "Weapons Violation", "Criminal Damage", "Battery", "Criminal Damage", "Deceptive Practice", "Battery", "Battery", "Other Offense", "Battery", "Assault", "Other Offense", "Assault", "Criminal Damage", "Battery", "Theft", "Theft", "Criminal Damage", "Other Offense", "Battery", "Assault", "Criminal Damage", "Criminal Trespass", "Assault", "Assault", "Criminal Damage", "Battery", "Battery", "Deceptive Practice", "Criminal Damage" ], "description": "The sequence of crime incidents begins with a series of thefts occurring in the initial months, followed by a mix of assault and property-related offenses. Assaults and criminal damage incidents appear intermittently, with some clustering around the 1 to 3-month mark and again around the 15 to 20-month range. Battery incidents are notably frequent, appearing throughout the timeline, particularly in the later months. Deceptive practices and other offenses also emerge, with criminal damage consistently appearing as a recurring event type across the timeline. Overall, there is a noticeable increase in the variety of offenses over time, with certain types like assault and battery becoming more prominent in the latter part of the sequence." }, { "dim_process": 20, "seq_idx": 128, "seq_len": 53, "time_since_start": [ 0.0, 1.6041435185185184, 2.5560416666666668, 2.6193518518518517, 4.232013888888889, 4.710740740740741, 5.452523148148148, 5.540023148148149, 6.533310185185186, 6.872962962962963, 7.631064814814815, 7.926226851851852, 9.020949074074075, 9.785555555555556, 10.31375, 10.56525462962963, 10.694421296296296, 11.987476851851852, 12.141180555555556, 12.666412037037038, 14.35414351851852, 14.40275462962963, 14.533310185185185, 15.01386574074074, 15.066643518518518, 15.322060185185185, 15.495810185185185, 16.18400462962963, 16.668333333333333, 16.756226851851853, 16.909699074074073, 18.42335648148148, 18.81361111111111, 19.166481481481483, 19.28275462962963, 19.560578703703705, 19.868726851851854, 20.063171296296296, 20.961087962962964, 21.09233796296296, 21.325208333333332, 21.72775462962963, 21.75761574074074, 21.766296296296296, 21.766643518518517, 21.767337962962962, 22.209699074074074, 22.358888888888888, 22.368425925925926, 22.456921296296297, 22.54372685185185, 23.170185185185186, 23.549467592592592 ], "time_since_last_event": [ 0.0, 1.6041435185185184, 0.9518981481481481, 0.06331018518518519, 1.612662037037037, 0.4787268518518519, 0.7417824074074074, 0.0875, 0.993287037037037, 0.3396527777777778, 0.7581018518518519, 0.29516203703703703, 1.0947222222222222, 0.7646064814814815, 0.5281944444444444, 0.2515046296296296, 0.12916666666666668, 1.2930555555555556, 0.1537037037037037, 0.5252314814814815, 1.6877314814814814, 0.04861111111111111, 0.13055555555555556, 0.48055555555555557, 0.05277777777777778, 0.2554166666666667, 0.17375, 0.6881944444444444, 0.4843287037037037, 0.08789351851851852, 0.15347222222222223, 1.5136574074074074, 0.39025462962962965, 0.3528703703703704, 0.11627314814814815, 0.27782407407407406, 0.30814814814814817, 0.19444444444444445, 0.8979166666666667, 0.13125, 0.23287037037037037, 0.4025462962962963, 0.029861111111111113, 0.008680555555555556, 0.00034722222222222224, 0.0006944444444444445, 0.4423611111111111, 0.1491898148148148, 0.009537037037037037, 0.08849537037037038, 0.08680555555555555, 0.6264583333333333, 0.37928240740740743 ], "type_event": [ 14, 7, 7, 0, 7, 5, 5, 5, 2, 9, 9, 7, 7, 7, 6, 0, 7, 4, 4, 0, 11, 0, 0, 0, 14, 7, 7, 0, 14, 7, 7, 7, 7, 6, 8, 7, 0, 1, 0, 3, 7, 7, 0, 7, 14, 3, 7, 11, 7, 8, 0, 7, 7 ], "type_text": [ "Criminal Sexual Assault", "Battery", "Battery", "Theft", "Battery", "Criminal Trespass", "Criminal Trespass", "Criminal Trespass", "Sex Offense", "Assault", "Assault", "Battery", "Battery", "Battery", "Criminal Damage", "Theft", "Battery", "Motor Vehicle Theft", "Motor Vehicle Theft", "Theft", "Robbery", "Theft", "Theft", "Theft", "Criminal Sexual Assault", "Battery", "Battery", "Theft", "Criminal Sexual Assault", "Battery", "Battery", "Battery", "Battery", "Criminal Damage", "Other Offense", "Battery", "Theft", "Weapons Violation", "Theft", "Deceptive Practice", "Battery", "Battery", "Theft", "Battery", "Criminal Sexual Assault", "Deceptive Practice", "Battery", "Robbery", "Battery", "Other Offense", "Theft", "Battery", "Battery" ], "description": "The sequence of crime incidents begins with a Criminal Sexual Assault, followed by various types of Battery and Theft occurring at relatively close intervals in the early months. There is a noticeable cluster of Battery incidents that peak around the 15 to 23-month mark, with multiple occurrences in a short time frame. The sequence also shows a recurring pattern of Theft and Criminal Sexual Assault, which appear intermittently throughout the timeline, while other offenses like Robbery and Deceptive Practice emerge later in the sequence. Overall, the data indicates a trend of increasing crime frequency with a predominance of Battery incidents in the mid to later months." }, { "dim_process": 20, "seq_idx": 129, "seq_len": 30, "time_since_start": [ 0.0, 0.8694444444444445, 1.174375, 1.37875, 2.7425925925925925, 3.334375, 3.470486111111111, 4.292777777777777, 4.894907407407407, 7.416666666666667, 7.629861111111111, 9.38888888888889, 10.709722222222222, 11.189583333333333, 11.255555555555556, 11.356342592592593, 11.567824074074075, 11.627523148148148, 13.709282407407407, 14.338912037037037, 15.822222222222223, 16.663888888888888, 18.338194444444444, 18.42275462962963, 18.538888888888888, 18.89375, 19.213194444444444, 19.213194444444444, 21.158194444444444, 21.664583333333333 ], "time_since_last_event": [ 0.0, 0.8694444444444445, 0.30493055555555554, 0.204375, 1.3638425925925926, 0.5917824074074074, 0.1361111111111111, 0.8222916666666666, 0.6021296296296297, 2.5217592592592593, 0.21319444444444444, 1.7590277777777779, 1.3208333333333333, 0.4798611111111111, 0.06597222222222222, 0.10078703703703704, 0.2114814814814815, 0.05969907407407407, 2.0817592592592593, 0.6296296296296297, 1.483310185185185, 0.8416666666666667, 1.6743055555555555, 0.08456018518518518, 0.11613425925925926, 0.3548611111111111, 0.3194444444444444, 0.0, 1.945, 0.5063888888888889 ], "type_event": [ 0, 0, 9, 0, 4, 16, 0, 0, 8, 0, 0, 3, 11, 4, 4, 0, 4, 0, 6, 0, 0, 4, 0, 4, 4, 0, 6, 4, 7, 0 ], "type_text": [ "Theft", "Theft", "Assault", "Theft", "Motor Vehicle Theft", "Narcotics", "Theft", "Theft", "Other Offense", "Theft", "Theft", "Deceptive Practice", "Robbery", "Motor Vehicle Theft", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Theft", "Criminal Damage", "Theft", "Theft", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Theft", "Criminal Damage", "Motor Vehicle Theft", "Battery", "Theft" ], "description": "The sequence of crime incidents begins with a series of thefts occurring within the first few months, followed by an assault and a notable increase in motor vehicle thefts around the 2.74-month mark. As time progresses, thefts continue to be reported frequently, particularly clustered between the 7 to 19-month period, alongside various other offenses such as narcotics and robbery. Criminal damage incidents appear later in the sequence, with the final events showing a mix of theft and battery. Overall, theft is the most prevalent crime type throughout the sequence, with motor vehicle thefts also becoming prominent in the latter months." }, { "dim_process": 20, "seq_idx": 130, "seq_len": 37, "time_since_start": [ 0.0, 0.010648148148148148, 1.0745601851851851, 1.7727314814814814, 1.911574074074074, 4.636111111111111, 4.668865740740741, 4.813726851851852, 5.469444444444444, 6.68125, 6.736111111111111, 8.082986111111111, 8.141666666666667, 8.932638888888889, 8.975763888888888, 9.038541666666667, 10.077083333333333, 10.146851851851851, 10.575578703703703, 11.170370370370371, 12.40798611111111, 13.139583333333333, 15.21162037037037, 15.733333333333333, 16.216666666666665, 16.240972222222222, 17.620833333333334, 17.72372685185185, 17.80439814814815, 19.52541666666667, 20.966435185185187, 22.937407407407406, 23.334953703703704, 23.461689814814815, 23.506944444444443, 23.60861111111111, 23.623101851851853 ], "time_since_last_event": [ 0.0, 0.010648148148148148, 1.063912037037037, 0.6981712962962963, 0.1388425925925926, 2.724537037037037, 0.03275462962962963, 0.1448611111111111, 0.6557175925925925, 1.2118055555555556, 0.05486111111111111, 1.346875, 0.058680555555555555, 0.7909722222222222, 0.043125, 0.06277777777777778, 1.0385416666666667, 0.06976851851851852, 0.42872685185185183, 0.5947916666666667, 1.2376157407407407, 0.7315972222222222, 2.072037037037037, 0.521712962962963, 0.48333333333333334, 0.024305555555555556, 1.3798611111111112, 0.10289351851851852, 0.0806712962962963, 1.7210185185185185, 1.4410185185185185, 1.9709722222222221, 0.3975462962962963, 0.1267361111111111, 0.04525462962962963, 0.10166666666666667, 0.014490740740740742 ], "type_event": [ 4, 15, 3, 7, 4, 4, 9, 1, 3, 0, 3, 4, 0, 7, 9, 0, 0, 6, 0, 0, 0, 0, 10, 4, 3, 0, 10, 11, 3, 10, 6, 1, 0, 6, 0, 0, 6 ], "type_text": [ "Motor Vehicle Theft", "Interference With Public Officer", "Deceptive Practice", "Battery", "Motor Vehicle Theft", "Motor Vehicle Theft", "Assault", "Weapons Violation", "Deceptive Practice", "Theft", "Deceptive Practice", "Motor Vehicle Theft", "Theft", "Battery", "Assault", "Theft", "Theft", "Criminal Damage", "Theft", "Theft", "Theft", "Theft", "Burglary", "Motor Vehicle Theft", "Deceptive Practice", "Theft", "Burglary", "Robbery", "Deceptive Practice", "Burglary", "Criminal Damage", "Weapons Violation", "Theft", "Criminal Damage", "Theft", "Theft", "Criminal Damage" ], "description": "The sequence of crime incidents shows a notable prevalence of Motor Vehicle Theft occurring early in the timeline, particularly within the first few months. Deceptive Practices also appear relatively early, with several instances clustered around the 5 to 8-month mark. As time progresses, there is a noticeable increase in Theft incidents, which become more frequent in the later months, alongside a rise in Burglary and Criminal Damage events. Overall, the data suggests that certain crime types, such as Theft and Burglary, tend to cluster in the latter part of the timeline, while Motor Vehicle Theft and Deceptive Practices are more concentrated at the beginning." }, { "dim_process": 20, "seq_idx": 131, "seq_len": 40, "time_since_start": [ 0.0, 0.27, 0.3958333333333333, 0.8888888888888888, 1.9805555555555556, 3.213888888888889, 3.5305555555555554, 3.5791666666666666, 5.891967592592593, 6.344444444444444, 6.8277777777777775, 6.851388888888889, 6.967037037037037, 7.6305555555555555, 8.330555555555556, 8.408333333333333, 9.21111111111111, 9.286111111111111, 9.333333333333334, 9.412662037037038, 10.407430555555555, 12.047106481481482, 12.588194444444444, 13.377662037037037, 14.914050925925926, 14.985810185185185, 15.027777777777779, 15.393194444444445, 16.509722222222223, 17.10972222222222, 17.400532407407407, 17.656388888888888, 19.274745370370372, 19.5875, 19.766666666666666, 20.993055555555557, 22.11752314814815, 23.104166666666668, 23.405046296296295, 23.77886574074074 ], "time_since_last_event": [ 0.0, 0.27, 0.12583333333333332, 0.4930555555555556, 1.0916666666666666, 1.2333333333333334, 0.31666666666666665, 0.04861111111111111, 2.312800925925926, 0.4524768518518518, 0.48333333333333334, 0.02361111111111111, 0.11564814814814815, 0.6635185185185185, 0.7, 0.07777777777777778, 0.8027777777777778, 0.075, 0.04722222222222222, 0.0793287037037037, 0.9947685185185186, 1.639675925925926, 0.5410879629629629, 0.7894675925925926, 1.5363888888888888, 0.07175925925925926, 0.04196759259259259, 0.36541666666666667, 1.1165277777777778, 0.6, 0.2908101851851852, 0.2558564814814815, 1.6183564814814815, 0.31275462962962963, 0.17916666666666667, 1.226388888888889, 1.1244675925925927, 0.9866435185185185, 0.3008796296296296, 0.3738194444444444 ], "type_event": [ 14, 7, 0, 8, 8, 6, 3, 8, 6, 0, 8, 3, 0, 13, 6, 6, 4, 9, 7, 0, 8, 8, 7, 1, 0, 6, 6, 7, 8, 4, 4, 8, 7, 0, 10, 6, 10, 8, 8, 8 ], "type_text": [ "Criminal Sexual Assault", "Battery", "Theft", "Other Offense", "Other Offense", "Criminal Damage", "Deceptive Practice", "Other Offense", "Criminal Damage", "Theft", "Other Offense", "Deceptive Practice", "Theft", "Offense Involving Children", "Criminal Damage", "Criminal Damage", "Motor Vehicle Theft", "Assault", "Battery", "Theft", "Other Offense", "Other Offense", "Battery", "Weapons Violation", "Theft", "Criminal Damage", "Criminal Damage", "Battery", "Other Offense", "Motor Vehicle Theft", "Motor Vehicle Theft", "Other Offense", "Battery", "Theft", "Burglary", "Criminal Damage", "Burglary", "Other Offense", "Other Offense", "Other Offense" ], "description": "The sequence of crime incidents begins with a Criminal Sexual Assault, followed by a Battery and a Theft within the first month. Over the next several months, there is a mix of Other Offenses, Criminal Damage, and Deceptive Practices, with incidents generally clustering around the 3 to 6-month mark. As time progresses, Theft and Battery incidents become more frequent, particularly between 9 and 19 months, with a notable increase in Motor Vehicle Thefts around the 17-month mark. The sequence concludes with a series of Other Offenses and Burglary incidents occurring towards the end of the timeline." }, { "dim_process": 20, "seq_idx": 132, "seq_len": 44, "time_since_start": [ 0.0, 0.003472222222222222, 0.26261574074074073, 0.48125, 1.130324074074074, 1.6388888888888888, 2.022222222222222, 2.2928935185185186, 2.386111111111111, 2.693287037037037, 2.7319444444444443, 3.0347222222222223, 3.0613888888888887, 3.071064814814815, 3.1217592592592593, 4.993518518518519, 5.586111111111111, 6.954166666666667, 8.383078703703704, 9.639236111111112, 10.48611111111111, 10.785416666666666, 10.964583333333334, 11.7, 12.102777777777778, 12.751388888888888, 14.229166666666666, 15.028472222222222, 15.230555555555556, 15.406944444444445, 15.409722222222221, 15.411111111111111, 15.784652777777778, 16.030555555555555, 16.1, 18.454166666666666, 18.918055555555554, 20.20277777777778, 20.574814814814815, 20.791435185185186, 21.325, 21.98472222222222, 22.927777777777777, 23.576435185185186 ], "time_since_last_event": [ 0.0, 0.003472222222222222, 0.2591435185185185, 0.21863425925925925, 0.649074074074074, 0.5085648148148149, 0.38333333333333336, 0.27067129629629627, 0.09321759259259259, 0.3071759259259259, 0.038657407407407404, 0.30277777777777776, 0.02666666666666667, 0.009675925925925926, 0.050694444444444445, 1.8717592592592593, 0.5925925925925926, 1.3680555555555556, 1.428912037037037, 1.2561574074074073, 0.846875, 0.29930555555555555, 0.17916666666666667, 0.7354166666666667, 0.4027777777777778, 0.6486111111111111, 1.4777777777777779, 0.7993055555555556, 0.20208333333333334, 0.1763888888888889, 0.002777777777777778, 0.001388888888888889, 0.37354166666666666, 0.24590277777777778, 0.06944444444444445, 2.3541666666666665, 0.4638888888888889, 1.2847222222222223, 0.37203703703703705, 0.21662037037037038, 0.5335648148148148, 0.6597222222222222, 0.9430555555555555, 0.6486574074074074 ], "type_event": [ 6, 2, 9, 11, 10, 3, 8, 7, 8, 8, 7, 4, 9, 7, 7, 7, 14, 3, 7, 6, 4, 8, 4, 0, 0, 0, 4, 4, 0, 6, 1, 4, 8, 0, 0, 7, 3, 11, 11, 0, 8, 3, 6, 9 ], "type_text": [ "Criminal Damage", "Sex Offense", "Assault", "Robbery", "Burglary", "Deceptive Practice", "Other Offense", "Battery", "Other Offense", "Other Offense", "Battery", "Motor Vehicle Theft", "Assault", "Battery", "Battery", "Battery", "Criminal Sexual Assault", "Deceptive Practice", "Battery", "Criminal Damage", "Motor Vehicle Theft", "Other Offense", "Motor Vehicle Theft", "Theft", "Theft", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Theft", "Criminal Damage", "Weapons Violation", "Motor Vehicle Theft", "Other Offense", "Theft", "Theft", "Battery", "Deceptive Practice", "Robbery", "Robbery", "Theft", "Other Offense", "Deceptive Practice", "Criminal Damage", "Assault" ], "description": "The sequence of crime incidents begins with Criminal Damage and a Sex Offense occurring simultaneously at the start. Assault and Robbery follow within the first few months, with a noticeable increase in incidents around the 2 to 3-month mark, primarily involving Battery and Other Offenses. As time progresses, there is a significant clustering of Motor Vehicle Theft incidents between the 10 to 16-month period, along with a consistent presence of Theft and Deceptive Practice offenses. The sequence shows a gradual increase in the diversity of crime types over time, with certain types like Battery and Criminal Damage recurring multiple times throughout the timeline." }, { "dim_process": 20, "seq_idx": 133, "seq_len": 55, "time_since_start": [ 0.0, 0.5930555555555556, 0.603912037037037, 1.4240277777777777, 1.6574537037037036, 2.1777777777777776, 2.2205092592592592, 2.3244675925925926, 3.001388888888889, 3.3375, 4.256944444444445, 4.36199074074074, 4.579398148148148, 5.295138888888889, 5.6, 5.966666666666667, 5.981944444444444, 6.099606481481482, 6.850694444444445, 7.051620370370371, 7.1722222222222225, 7.391666666666667, 7.399166666666667, 7.698263888888889, 7.730555555555555, 7.773564814814815, 8.303611111111111, 9.011111111111111, 9.166666666666666, 9.23599537037037, 9.616898148148149, 9.857847222222222, 12.24699074074074, 13.609953703703704, 14.717361111111112, 14.879861111111111, 14.948912037037037, 15.91400462962963, 16.052291666666665, 16.48935185185185, 16.758333333333333, 17.471944444444443, 18.255416666666665, 19.84608796296296, 20.040277777777778, 20.044328703703705, 20.138773148148147, 20.798310185185183, 20.803032407407407, 20.862962962962964, 20.87525462962963, 21.072222222222223, 21.209953703703704, 21.335416666666667, 22.029282407407408 ], "time_since_last_event": [ 0.0, 0.5930555555555556, 0.01085648148148148, 0.8201157407407408, 0.23342592592592593, 0.5203240740740741, 0.04273148148148148, 0.10395833333333333, 0.6769212962962963, 0.33611111111111114, 0.9194444444444444, 0.10504629629629629, 0.2174074074074074, 0.7157407407407408, 0.30486111111111114, 0.36666666666666664, 0.015277777777777777, 0.11766203703703704, 0.751087962962963, 0.20092592592592592, 0.12060185185185185, 0.21944444444444444, 0.0075, 0.29909722222222224, 0.03229166666666667, 0.04300925925925926, 0.5300462962962963, 0.7075, 0.15555555555555556, 0.0693287037037037, 0.38090277777777776, 0.24094907407407407, 2.3891435185185186, 1.362962962962963, 1.1074074074074074, 0.1625, 0.06905092592592593, 0.9650925925925926, 0.13828703703703704, 0.4370601851851852, 0.2689814814814815, 0.7136111111111111, 0.7834722222222222, 1.5906712962962963, 0.19418981481481482, 0.004050925925925926, 0.09444444444444444, 0.659537037037037, 0.004722222222222222, 0.059930555555555556, 0.012291666666666666, 0.19696759259259258, 0.13773148148148148, 0.12546296296296297, 0.6938657407407407 ], "type_event": [ 3, 11, 1, 7, 9, 3, 7, 8, 11, 3, 7, 11, 7, 7, 3, 9, 9, 0, 7, 9, 11, 6, 7, 0, 7, 11, 11, 6, 3, 11, 9, 9, 8, 11, 11, 11, 0, 0, 9, 18, 7, 7, 9, 9, 7, 0, 11, 11, 10, 11, 10, 10, 11, 10, 6 ], "type_text": [ "Deceptive Practice", "Robbery", "Weapons Violation", "Battery", "Assault", "Deceptive Practice", "Battery", "Other Offense", "Robbery", "Deceptive Practice", "Battery", "Robbery", "Battery", "Battery", "Deceptive Practice", "Assault", "Assault", "Theft", "Battery", "Assault", "Robbery", "Criminal Damage", "Battery", "Theft", "Battery", "Robbery", "Robbery", "Criminal Damage", "Deceptive Practice", "Robbery", "Assault", "Assault", "Other Offense", "Robbery", "Robbery", "Robbery", "Theft", "Theft", "Assault", "Public Peace Violation", "Battery", "Battery", "Assault", "Assault", "Battery", "Theft", "Robbery", "Robbery", "Burglary", "Robbery", "Burglary", "Burglary", "Robbery", "Burglary", "Criminal Damage" ], "description": "The sequence of crime incidents shows a variety of crime types occurring over time, with notable clusters and trends. Initially, deceptive practices and robberies appear early in the timeline, followed by a mix of violent offenses such as battery and assault. As time progresses, there is an increase in robberies and burglaries, particularly in the later months, alongside a consistent presence of battery incidents. Additionally, the sequence reveals a pattern of repeated offenses, particularly in robbery and battery, suggesting a concentration of these crimes in specific periods." }, { "dim_process": 20, "seq_idx": 134, "seq_len": 33, "time_since_start": [ 0.0, 0.017777777777777778, 0.8840277777777777, 0.9556481481481481, 1.6081712962962964, 2.0881944444444445, 2.7319444444444443, 3.019791666666667, 4.651157407407408, 7.452083333333333, 8.105555555555556, 10.653472222222222, 10.667361111111111, 13.229861111111111, 14.448611111111111, 14.947523148148148, 15.803356481481481, 15.99125, 16.180648148148148, 17.117615740740742, 17.367361111111112, 18.493402777777778, 18.896527777777777, 19.914583333333333, 20.238194444444446, 20.472291666666667, 20.472592592592594, 20.60087962962963, 20.736805555555556, 21.367361111111112, 21.40138888888889, 21.439351851851853, 22.571643518518517 ], "time_since_last_event": [ 0.0, 0.017777777777777778, 0.86625, 0.07162037037037038, 0.6525231481481482, 0.48002314814814817, 0.64375, 0.2878472222222222, 1.6313657407407407, 2.800925925925926, 0.6534722222222222, 2.5479166666666666, 0.013888888888888888, 2.5625, 1.21875, 0.498912037037037, 0.8558333333333333, 0.18789351851851852, 0.18939814814814815, 0.9369675925925925, 0.24974537037037037, 1.1260416666666666, 0.403125, 1.0180555555555555, 0.3236111111111111, 0.23409722222222223, 0.00030092592592592595, 0.12828703703703703, 0.13592592592592592, 0.6305555555555555, 0.034027777777777775, 0.03796296296296296, 1.1322916666666667 ], "type_event": [ 6, 0, 7, 1, 1, 6, 4, 6, 6, 10, 11, 9, 6, 6, 3, 8, 7, 4, 8, 9, 4, 7, 7, 3, 1, 7, 1, 7, 6, 0, 0, 7, 11 ], "type_text": [ "Criminal Damage", "Theft", "Battery", "Weapons Violation", "Weapons Violation", "Criminal Damage", "Motor Vehicle Theft", "Criminal Damage", "Criminal Damage", "Burglary", "Robbery", "Assault", "Criminal Damage", "Criminal Damage", "Deceptive Practice", "Other Offense", "Battery", "Motor Vehicle Theft", "Other Offense", "Assault", "Motor Vehicle Theft", "Battery", "Battery", "Deceptive Practice", "Weapons Violation", "Battery", "Weapons Violation", "Battery", "Criminal Damage", "Theft", "Theft", "Battery", "Robbery" ], "description": "The sequence of crime incidents shows a pattern where Criminal Damage is the most frequently reported type, occurring multiple times throughout the timeline, particularly in the early months. Theft incidents appear clustered around the 21-month mark, while Weapons Violations and Battery incidents are also noted in close succession. Notably, there is a significant increase in the variety of offenses, including Burglary and Robbery, as the timeline progresses, with some events occurring in clusters within specific months. Overall, the sequence indicates a mix of property crimes and violent offenses, with certain types emerging more prominently at different intervals." }, { "dim_process": 20, "seq_idx": 135, "seq_len": 62, "time_since_start": [ 0.0, 0.0020833333333333333, 1.0177083333333334, 1.0974537037037038, 2.133634259259259, 2.2708333333333335, 2.8513888888888888, 3.0034722222222223, 3.459722222222222, 3.6689814814814814, 3.9375, 4.217361111111111, 4.317361111111111, 5.029861111111111, 5.064583333333333, 5.137847222222222, 5.2965277777777775, 5.317476851851852, 5.447916666666667, 6.039930555555555, 7.852083333333334, 8.638194444444444, 9.525694444444444, 9.663194444444445, 9.677083333333334, 9.985416666666667, 11.16875, 11.33275462962963, 11.534375, 12.160416666666666, 12.269907407407407, 12.30724537037037, 12.347407407407408, 12.972569444444444, 13.30324074074074, 14.503472222222221, 14.93125, 15.400694444444444, 15.446990740740741, 15.60763888888889, 16.246296296296297, 16.761111111111113, 17.01736111111111, 17.14525462962963, 17.30173611111111, 17.374305555555555, 17.907523148148147, 18.19375, 18.260416666666668, 19.438194444444445, 19.50625, 19.51736111111111, 19.527083333333334, 19.865277777777777, 20.01875, 20.077083333333334, 20.396180555555556, 20.666203703703705, 21.334027777777777, 22.165347222222223, 22.241319444444443, 22.740162037037038 ], "time_since_last_event": [ 0.0, 0.0020833333333333333, 1.015625, 0.07974537037037037, 1.0361805555555557, 0.13719907407407408, 0.5805555555555556, 0.15208333333333332, 0.45625, 0.20925925925925926, 0.26851851851851855, 0.2798611111111111, 0.1, 0.7125, 0.034722222222222224, 0.07326388888888889, 0.15868055555555555, 0.020949074074074075, 0.13043981481481481, 0.5920138888888888, 1.8121527777777777, 0.7861111111111111, 0.8875, 0.1375, 0.013888888888888888, 0.30833333333333335, 1.1833333333333333, 0.16400462962962964, 0.20162037037037037, 0.6260416666666667, 0.10949074074074074, 0.03733796296296296, 0.04016203703703704, 0.625162037037037, 0.33067129629629627, 1.2002314814814814, 0.42777777777777776, 0.46944444444444444, 0.046296296296296294, 0.16064814814814815, 0.6386574074074074, 0.5148148148148148, 0.25625, 0.12789351851851852, 0.15648148148148147, 0.07256944444444445, 0.5332175925925926, 0.28622685185185187, 0.06666666666666667, 1.1777777777777778, 0.06805555555555555, 0.011111111111111112, 0.009722222222222222, 0.33819444444444446, 0.15347222222222223, 0.058333333333333334, 0.3190972222222222, 0.27002314814814815, 0.6678240740740741, 0.8313194444444445, 0.07597222222222222, 0.4988425925925926 ], "type_event": [ 0, 0, 7, 0, 8, 0, 7, 6, 6, 0, 0, 14, 14, 0, 8, 0, 7, 3, 0, 0, 4, 6, 10, 0, 0, 7, 0, 9, 9, 0, 7, 6, 5, 0, 0, 10, 8, 0, 7, 9, 4, 6, 14, 0, 18, 7, 0, 0, 0, 0, 0, 0, 0, 5, 5, 14, 11, 7, 0, 6, 7, 4 ], "type_text": [ "Theft", "Theft", "Battery", "Theft", "Other Offense", "Theft", "Battery", "Criminal Damage", "Criminal Damage", "Theft", "Theft", "Criminal Sexual Assault", "Criminal Sexual Assault", "Theft", "Other Offense", "Theft", "Battery", "Deceptive Practice", "Theft", "Theft", "Motor Vehicle Theft", "Criminal Damage", "Burglary", "Theft", "Theft", "Battery", "Theft", "Assault", "Assault", "Theft", "Battery", "Criminal Damage", "Criminal Trespass", "Theft", "Theft", "Burglary", "Other Offense", "Theft", "Battery", "Assault", "Motor Vehicle Theft", "Criminal Damage", "Criminal Sexual Assault", "Theft", "Public Peace Violation", "Battery", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Criminal Trespass", "Criminal Trespass", "Criminal Sexual Assault", "Robbery", "Battery", "Theft", "Criminal Damage", "Battery", "Motor Vehicle Theft" ], "description": "The sequence of crime incidents in the block reveals a pattern where thefts occur frequently and are concentrated in the earlier months, particularly within the first 20 months. Other offenses, such as battery and criminal damage, appear intermittently, with some clustering around the 5 to 12-month range. Notably, criminal sexual assaults and motor vehicle thefts appear later in the timeline, indicating a shift in the types of incidents reported as time progresses. Overall, theft remains the most prevalent crime type throughout the sequence, while other offenses show more variability in occurrence." }, { "dim_process": 20, "seq_idx": 136, "seq_len": 40, "time_since_start": [ 0.0, 2.7333333333333334, 2.9972222222222222, 4.107430555555555, 4.263888888888889, 5.982638888888889, 6.933333333333334, 7.508333333333334, 8.375, 8.528935185185185, 8.532199074074073, 8.735324074074073, 8.843055555555555, 9.008333333333333, 9.454930555555556, 9.737268518518519, 9.824722222222222, 10.025, 11.96238425925926, 11.970601851851852, 12.032939814814815, 12.07986111111111, 13.16388888888889, 13.561458333333333, 13.81412037037037, 14.305787037037037, 16.894328703703703, 17.518402777777776, 17.941689814814815, 18.023611111111112, 18.52638888888889, 19.35625, 19.83888888888889, 20.494444444444444, 20.893055555555556, 21.044097222222224, 21.04675925925926, 21.524074074074075, 21.802777777777777, 22.733333333333334 ], "time_since_last_event": [ 0.0, 2.7333333333333334, 0.2638888888888889, 1.1102083333333332, 0.15645833333333334, 1.71875, 0.9506944444444444, 0.575, 0.8666666666666667, 0.15393518518518517, 0.003263888888888889, 0.203125, 0.10773148148148148, 0.16527777777777777, 0.4465972222222222, 0.282337962962963, 0.0874537037037037, 0.20027777777777778, 1.9373842592592592, 0.008217592592592592, 0.06233796296296296, 0.046921296296296294, 1.0840277777777778, 0.3975694444444444, 0.25266203703703705, 0.49166666666666664, 2.5885416666666665, 0.6240740740740741, 0.423287037037037, 0.0819212962962963, 0.5027777777777778, 0.8298611111111112, 0.4826388888888889, 0.6555555555555556, 0.39861111111111114, 0.15104166666666666, 0.002662037037037037, 0.4773148148148148, 0.27870370370370373, 0.9305555555555556 ], "type_event": [ 5, 0, 6, 8, 0, 7, 14, 3, 0, 7, 6, 8, 8, 3, 8, 6, 0, 8, 4, 11, 10, 10, 6, 4, 6, 6, 0, 9, 0, 3, 4, 0, 6, 6, 2, 6, 11, 4, 4, 0 ], "type_text": [ "Criminal Trespass", "Theft", "Criminal Damage", "Other Offense", "Theft", "Battery", "Criminal Sexual Assault", "Deceptive Practice", "Theft", "Battery", "Criminal Damage", "Other Offense", "Other Offense", "Deceptive Practice", "Other Offense", "Criminal Damage", "Theft", "Other Offense", "Motor Vehicle Theft", "Robbery", "Burglary", "Burglary", "Criminal Damage", "Motor Vehicle Theft", "Criminal Damage", "Criminal Damage", "Theft", "Assault", "Theft", "Deceptive Practice", "Motor Vehicle Theft", "Theft", "Criminal Damage", "Criminal Damage", "Sex Offense", "Criminal Damage", "Robbery", "Motor Vehicle Theft", "Motor Vehicle Theft", "Theft" ], "description": "The sequence of crime incidents begins with a Criminal Trespass, followed by Theft and Criminal Damage occurring relatively early in the timeline. A notable cluster of various offenses, including multiple Thefts, Criminal Damages, and Other Offenses, emerges between approximately 8 to 10 months. As the timeline progresses, there is an increase in serious crimes such as Motor Vehicle Theft and Robbery, particularly in the later months. The pattern indicates that Theft and Criminal Damage are prevalent throughout, with a gradual rise in more severe offenses towards the end of the sequence." }, { "dim_process": 20, "seq_idx": 137, "seq_len": 39, "time_since_start": [ 0.0, 0.9208333333333333, 1.1175, 1.2027777777777777, 1.2880555555555555, 2.6840277777777777, 4.521527777777778, 5.263194444444444, 5.897916666666666, 6.143055555555556, 6.466666666666667, 6.95, 6.954328703703704, 8.75, 9.080555555555556, 9.0875, 9.136921296296297, 9.254282407407407, 9.318055555555556, 9.78888888888889, 10.004861111111111, 10.502430555555556, 12.149305555555555, 12.615277777777777, 12.654166666666667, 13.24236111111111, 14.394027777777778, 15.206944444444444, 15.316666666666666, 16.38451388888889, 17.903773148148147, 18.95486111111111, 20.8375, 21.70486111111111, 22.1875, 22.195833333333333, 22.726388888888888, 23.030555555555555, 23.71071759259259 ], "time_since_last_event": [ 0.0, 0.9208333333333333, 0.19666666666666666, 0.08527777777777777, 0.08527777777777777, 1.3959722222222222, 1.8375, 0.7416666666666667, 0.6347222222222222, 0.24513888888888888, 0.3236111111111111, 0.48333333333333334, 0.0043287037037037035, 1.7956712962962964, 0.33055555555555555, 0.006944444444444444, 0.049421296296296297, 0.11736111111111111, 0.06377314814814815, 0.4708333333333333, 0.21597222222222223, 0.49756944444444445, 1.646875, 0.46597222222222223, 0.03888888888888889, 0.5881944444444445, 1.1516666666666666, 0.8129166666666666, 0.10972222222222222, 1.0678472222222222, 1.5192592592592593, 1.051087962962963, 1.882638888888889, 0.8673611111111111, 0.4826388888888889, 0.008333333333333333, 0.5305555555555556, 0.30416666666666664, 0.680162037037037 ], "type_event": [ 6, 10, 1, 4, 6, 0, 7, 0, 10, 7, 8, 9, 6, 0, 4, 6, 4, 6, 0, 4, 9, 7, 11, 6, 3, 4, 11, 7, 4, 8, 9, 4, 9, 6, 0, 0, 0, 4, 9 ], "type_text": [ "Criminal Damage", "Burglary", "Weapons Violation", "Motor Vehicle Theft", "Criminal Damage", "Theft", "Battery", "Theft", "Burglary", "Battery", "Other Offense", "Assault", "Criminal Damage", "Theft", "Motor Vehicle Theft", "Criminal Damage", "Motor Vehicle Theft", "Criminal Damage", "Theft", "Motor Vehicle Theft", "Assault", "Battery", "Robbery", "Criminal Damage", "Deceptive Practice", "Motor Vehicle Theft", "Robbery", "Battery", "Motor Vehicle Theft", "Other Offense", "Assault", "Motor Vehicle Theft", "Assault", "Criminal Damage", "Theft", "Theft", "Theft", "Motor Vehicle Theft", "Assault" ], "description": "The sequence of crime incidents begins with Criminal Damage occurring first, followed by a variety of offenses such as Burglary and Weapons Violation within the first two months. Theft incidents start to appear around the two-month mark and continue to cluster in the later months. Motor Vehicle Theft emerges multiple times throughout the sequence, particularly in the later months, indicating a trend of increasing frequency. Assault and Battery incidents also appear sporadically, with a noticeable increase in frequency as the timeline progresses, while Criminal Damage reoccurs consistently throughout the sequence. Overall, there is a pattern of escalating crime types and frequency as time advances." }, { "dim_process": 20, "seq_idx": 138, "seq_len": 32, "time_since_start": [ 0.0, 0.33194444444444443, 2.8041666666666667, 3.464583333333333, 3.467361111111111, 4.186805555555556, 5.060902777777778, 5.5655324074074075, 5.755439814814815, 6.029537037037037, 6.662569444444444, 7.601388888888889, 8.202777777777778, 8.4375, 9.036111111111111, 10.530555555555555, 10.591666666666667, 11.03574074074074, 13.029976851851853, 14.020138888888889, 14.433981481481482, 14.83300925925926, 14.86875, 14.994027777777777, 15.056944444444444, 15.463888888888889, 15.531944444444445, 15.533958333333333, 15.863888888888889, 18.04675925925926, 18.125, 21.189583333333335 ], "time_since_last_event": [ 0.0, 0.33194444444444443, 2.4722222222222223, 0.6604166666666667, 0.002777777777777778, 0.7194444444444444, 0.8740972222222222, 0.5046296296296297, 0.1899074074074074, 0.2740972222222222, 0.6330324074074074, 0.9388194444444444, 0.6013888888888889, 0.23472222222222222, 0.5986111111111111, 1.4944444444444445, 0.06111111111111111, 0.44407407407407407, 1.994236111111111, 0.9901620370370371, 0.4138425925925926, 0.39902777777777776, 0.03574074074074074, 0.12527777777777777, 0.06291666666666666, 0.40694444444444444, 0.06805555555555555, 0.002013888888888889, 0.32993055555555556, 2.1828703703703702, 0.07824074074074074, 3.064583333333333 ], "type_event": [ 11, 0, 0, 7, 7, 2, 9, 1, 4, 7, 7, 6, 10, 4, 7, 0, 0, 4, 11, 9, 1, 1, 7, 7, 0, 0, 7, 1, 6, 7, 11, 4 ], "type_text": [ "Robbery", "Theft", "Theft", "Battery", "Battery", "Sex Offense", "Assault", "Weapons Violation", "Motor Vehicle Theft", "Battery", "Battery", "Criminal Damage", "Burglary", "Motor Vehicle Theft", "Battery", "Theft", "Theft", "Motor Vehicle Theft", "Robbery", "Assault", "Weapons Violation", "Weapons Violation", "Battery", "Battery", "Theft", "Theft", "Battery", "Weapons Violation", "Criminal Damage", "Battery", "Robbery", "Motor Vehicle Theft" ], "description": "The sequence of crime incidents begins with a robbery and a theft occurring within the first few months. Battery incidents appear frequently in the following months, indicating a clustering of this crime type. As time progresses, there is a notable increase in thefts and motor vehicle thefts, particularly around the mid-point of the timeline. Towards the latter part of the sequence, multiple weapons violations and additional robberies are reported, suggesting a rise in more serious offenses as time continues. Overall, the data shows a pattern of increasing crime variety and frequency as the months advance." }, { "dim_process": 20, "seq_idx": 139, "seq_len": 37, "time_since_start": [ 0.0, 0.1348611111111111, 0.45037037037037037, 0.45361111111111113, 0.8070833333333334, 2.2925, 3.216111111111111, 3.2327777777777778, 3.3712962962962965, 3.5036111111111112, 3.8959722222222224, 5.3966666666666665, 6.384166666666666, 6.934351851851852, 11.245277777777778, 11.50824074074074, 12.118981481481482, 13.629305555555556, 13.744583333333333, 17.211712962962963, 17.260671296296298, 17.321666666666665, 17.32409722222222, 17.646087962962962, 19.381851851851852, 19.677337962962962, 19.919675925925926, 20.585324074074073, 21.432083333333335, 21.44273148148148, 22.019583333333333, 22.043194444444445, 22.343194444444446, 22.508819444444445, 22.559166666666666, 23.202916666666667, 23.22513888888889 ], "time_since_last_event": [ 0.0, 0.1348611111111111, 0.31550925925925927, 0.0032407407407407406, 0.35347222222222224, 1.4854166666666666, 0.9236111111111112, 0.016666666666666666, 0.1385185185185185, 0.1323148148148148, 0.3923611111111111, 1.5006944444444446, 0.9875, 0.5501851851851852, 4.310925925925926, 0.26296296296296295, 0.6107407407407407, 1.510324074074074, 0.11527777777777778, 3.4671296296296297, 0.04895833333333333, 0.06099537037037037, 0.0024305555555555556, 0.32199074074074074, 1.7357638888888889, 0.2954861111111111, 0.24233796296296295, 0.6656481481481481, 0.8467592592592592, 0.010648148148148148, 0.5768518518518518, 0.02361111111111111, 0.3, 0.165625, 0.050347222222222224, 0.64375, 0.022222222222222223 ], "type_event": [ 7, 7, 1, 3, 9, 10, 7, 9, 6, 9, 0, 9, 3, 7, 2, 11, 0, 9, 9, 6, 7, 7, 6, 0, 0, 7, 6, 7, 4, 11, 4, 11, 4, 9, 4, 6, 8 ], "type_text": [ "Battery", "Battery", "Weapons Violation", "Deceptive Practice", "Assault", "Burglary", "Battery", "Assault", "Criminal Damage", "Assault", "Theft", "Assault", "Deceptive Practice", "Battery", "Sex Offense", "Robbery", "Theft", "Assault", "Assault", "Criminal Damage", "Battery", "Battery", "Criminal Damage", "Theft", "Theft", "Battery", "Criminal Damage", "Battery", "Motor Vehicle Theft", "Robbery", "Motor Vehicle Theft", "Robbery", "Motor Vehicle Theft", "Assault", "Motor Vehicle Theft", "Criminal Damage", "Other Offense" ], "description": "The sequence of crime incidents shows a pattern where battery and assault incidents occur frequently in the early months, with several assaults clustered around the 3-month mark. As time progresses, there is a noticeable increase in the variety of crime types, including theft and motor vehicle theft, which begin to emerge prominently around the 19-month mark. Criminal damage incidents also appear to cluster in the later months, particularly around the 17-month and 23-month marks. Overall, the data reveals an initial concentration of violent crimes followed by a shift towards property crimes as time advances." }, { "dim_process": 20, "seq_idx": 140, "seq_len": 63, "time_since_start": [ 0.0, 0.298125, 0.58125, 1.3194444444444444, 1.5055555555555555, 1.7250462962962962, 2.15, 2.150625, 2.563263888888889, 3.1430555555555557, 3.263888888888889, 3.404861111111111, 3.6636342592592595, 3.670486111111111, 3.6708333333333334, 4.3375, 4.50625, 4.560787037037037, 4.79537037037037, 4.8375, 5.2444444444444445, 5.6113888888888885, 5.6119212962962965, 5.641180555555556, 6.176388888888889, 6.177314814814815, 6.17800925925926, 7.497962962962963, 7.529166666666667, 7.607407407407408, 8.248333333333333, 8.43923611111111, 8.470138888888888, 8.50113425925926, 9.198263888888889, 9.355324074074074, 9.931064814814814, 10.427083333333334, 12.794444444444444, 13.044907407407408, 13.330717592592592, 13.507962962962964, 13.998958333333333, 14.371875, 15.116666666666667, 15.148958333333333, 15.301273148148148, 15.348611111111111, 15.535486111111112, 16.25034722222222, 16.479814814814816, 16.833333333333332, 16.877314814814813, 17.240717592592592, 18.33298611111111, 19.242361111111112, 20.579166666666666, 21.41111111111111, 21.425046296296298, 22.401851851851852, 22.60162037037037, 22.603472222222223, 22.80775462962963 ], "time_since_last_event": [ 0.0, 0.298125, 0.283125, 0.7381944444444445, 0.18611111111111112, 0.21949074074074074, 0.4249537037037037, 0.000625, 0.4126388888888889, 0.5797916666666667, 0.12083333333333333, 0.14097222222222222, 0.25877314814814817, 0.006851851851851852, 0.00034722222222222224, 0.6666666666666666, 0.16875, 0.05453703703703704, 0.23458333333333334, 0.04212962962962963, 0.40694444444444444, 0.36694444444444446, 0.0005324074074074074, 0.02925925925925926, 0.5352083333333333, 0.000925925925925926, 0.0006944444444444445, 1.3199537037037037, 0.031203703703703702, 0.07824074074074074, 0.6409259259259259, 0.19090277777777778, 0.03090277777777778, 0.03099537037037037, 0.6971296296296297, 0.1570601851851852, 0.5757407407407408, 0.4960185185185185, 2.3673611111111112, 0.25046296296296294, 0.2858101851851852, 0.17724537037037036, 0.4909953703703704, 0.3729166666666667, 0.7447916666666666, 0.03229166666666667, 0.15231481481481482, 0.047337962962962964, 0.186875, 0.7148611111111111, 0.22946759259259258, 0.3535185185185185, 0.04398148148148148, 0.3634027777777778, 1.0922685185185186, 0.909375, 1.3368055555555556, 0.8319444444444445, 0.013935185185185186, 0.9768055555555556, 0.1997685185185185, 0.001851851851851852, 0.2042824074074074 ], "type_event": [ 0, 5, 7, 6, 0, 10, 6, 6, 9, 0, 0, 0, 8, 0, 0, 0, 0, 6, 0, 0, 6, 0, 0, 3, 0, 0, 0, 9, 0, 9, 0, 3, 9, 5, 0, 6, 0, 11, 0, 0, 0, 9, 0, 0, 7, 11, 11, 5, 9, 0, 7, 3, 0, 6, 0, 11, 6, 0, 3, 0, 5, 8, 9 ], "type_text": [ "Theft", "Criminal Trespass", "Battery", "Criminal Damage", "Theft", "Burglary", "Criminal Damage", "Criminal Damage", "Assault", "Theft", "Theft", "Theft", "Other Offense", "Theft", "Theft", "Theft", "Theft", "Criminal Damage", "Theft", "Theft", "Criminal Damage", "Theft", "Theft", "Deceptive Practice", "Theft", "Theft", "Theft", "Assault", "Theft", "Assault", "Theft", "Deceptive Practice", "Assault", "Criminal Trespass", "Theft", "Criminal Damage", "Theft", "Robbery", "Theft", "Theft", "Theft", "Assault", "Theft", "Theft", "Battery", "Robbery", "Robbery", "Criminal Trespass", "Assault", "Theft", "Battery", "Deceptive Practice", "Theft", "Criminal Damage", "Theft", "Robbery", "Criminal Damage", "Theft", "Deceptive Practice", "Theft", "Criminal Trespass", "Other Offense", "Assault" ], "description": "The sequence of crime incidents shows a varied pattern over time, with thefts occurring frequently throughout the timeline, particularly in the later months. Criminal damage incidents appear to cluster in the first half of the timeline, while assaults and robberies are more concentrated in the latter half. Criminal trespass incidents are interspersed throughout, but there is a notable increase in the frequency of thefts as the timeline progresses. Overall, the data indicates a trend of escalating theft incidents, alongside sporadic occurrences of other crime types." }, { "dim_process": 20, "seq_idx": 141, "seq_len": 31, "time_since_start": [ 0.0, 0.43495370370370373, 0.8964814814814814, 1.03125, 1.8376620370370371, 2.027222222222222, 2.0694444444444446, 2.2374305555555556, 2.260601851851852, 2.3291666666666666, 2.3305555555555557, 2.779259259259259, 3.4133796296296297, 4.328125, 6.424305555555556, 6.529444444444445, 6.998842592592593, 8.376273148148147, 9.734027777777778, 10.704143518518519, 11.172407407407407, 11.370949074074074, 11.537222222222223, 11.537685185185186, 11.949328703703705, 18.066157407407406, 18.160416666666666, 18.314583333333335, 18.370486111111113, 18.581944444444446, 19.374097222222222 ], "time_since_last_event": [ 0.0, 0.43495370370370373, 0.46152777777777776, 0.1347685185185185, 0.806412037037037, 0.1895601851851852, 0.042222222222222223, 0.1679861111111111, 0.023171296296296297, 0.06856481481481481, 0.001388888888888889, 0.4487037037037037, 0.6341203703703704, 0.9147453703703704, 2.0961805555555557, 0.10513888888888889, 0.4693981481481482, 1.3774305555555555, 1.3577546296296297, 0.9701157407407407, 0.46826388888888887, 0.19854166666666667, 0.16627314814814814, 0.000462962962962963, 0.4116435185185185, 6.116828703703704, 0.09425925925925926, 0.15416666666666667, 0.05590277777777778, 0.21145833333333333, 0.7921527777777778 ], "type_event": [ 7, 9, 7, 7, 7, 7, 7, 7, 9, 7, 9, 6, 6, 7, 0, 7, 7, 5, 7, 5, 7, 7, 7, 1, 4, 7, 7, 0, 7, 9, 9 ], "type_text": [ "Battery", "Assault", "Battery", "Battery", "Battery", "Battery", "Battery", "Battery", "Assault", "Battery", "Assault", "Criminal Damage", "Criminal Damage", "Battery", "Theft", "Battery", "Battery", "Criminal Trespass", "Battery", "Criminal Trespass", "Battery", "Battery", "Battery", "Weapons Violation", "Motor Vehicle Theft", "Battery", "Battery", "Theft", "Battery", "Assault", "Assault" ], "description": "The sequence of crime incidents shows a pattern where Battery incidents are the most frequent, occurring throughout the timeline, particularly clustered in the early months and again towards the end. Assaults appear sporadically, primarily in the early and later stages of the timeline. Criminal Damage incidents occur in the middle of the sequence, while Theft and Criminal Trespass incidents are noted towards the latter part. Overall, there is a notable concentration of Battery incidents across various points, indicating a trend of recurring violence in this area." }, { "dim_process": 20, "seq_idx": 142, "seq_len": 35, "time_since_start": [ 0.0, 0.06805555555555555, 0.575, 0.8958333333333334, 1.035925925925926, 4.273611111111111, 4.719444444444444, 4.775, 5.176620370370371, 6.3375, 7.17800925925926, 10.733333333333333, 11.372222222222222, 12.277430555555556, 14.23449074074074, 14.503310185185185, 15.339583333333334, 16.15138888888889, 16.725, 16.934189814814815, 17.273611111111112, 17.34375, 17.416666666666668, 17.601388888888888, 17.63888888888889, 19.695833333333333, 19.997222222222224, 20.066666666666666, 20.460208333333334, 20.976967592592594, 21.25511574074074, 21.444444444444443, 21.995601851851852, 22.070833333333333, 22.711111111111112 ], "time_since_last_event": [ 0.0, 0.06805555555555555, 0.5069444444444444, 0.32083333333333336, 0.1400925925925926, 3.2376851851851853, 0.44583333333333336, 0.05555555555555555, 0.40162037037037035, 1.1608796296296295, 0.8405092592592592, 3.555324074074074, 0.6388888888888888, 0.9052083333333333, 1.9570601851851852, 0.26881944444444444, 0.8362731481481481, 0.8118055555555556, 0.5736111111111111, 0.20918981481481483, 0.3394212962962963, 0.07013888888888889, 0.07291666666666667, 0.18472222222222223, 0.0375, 2.0569444444444445, 0.3013888888888889, 0.06944444444444445, 0.3935416666666667, 0.5167592592592593, 0.27814814814814814, 0.1893287037037037, 0.5511574074074074, 0.07523148148148148, 0.6402777777777777 ], "type_event": [ 0, 0, 8, 0, 3, 7, 0, 0, 7, 9, 11, 4, 0, 4, 9, 0, 7, 3, 8, 9, 9, 9, 9, 9, 7, 3, 3, 9, 3, 7, 6, 7, 7, 0, 0 ], "type_text": [ "Theft", "Theft", "Other Offense", "Theft", "Deceptive Practice", "Battery", "Theft", "Theft", "Battery", "Assault", "Robbery", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Assault", "Theft", "Battery", "Deceptive Practice", "Other Offense", "Assault", "Assault", "Assault", "Assault", "Assault", "Battery", "Deceptive Practice", "Deceptive Practice", "Assault", "Deceptive Practice", "Battery", "Criminal Damage", "Battery", "Battery", "Theft", "Theft" ], "description": "The sequence of crime incidents begins with a cluster of thefts occurring within the first month, followed by a variety of offenses including deceptive practices and battery over the next several months. Notably, there is a significant increase in assaults and batteries occurring around the 17-month mark, indicating a peak in violent incidents. The sequence also shows a resurgence of thefts towards the end, with multiple incidents occurring in close succession. Overall, thefts are prominent early on, while assaults and batteries become more concentrated later in the timeline." }, { "dim_process": 20, "seq_idx": 143, "seq_len": 32, "time_since_start": [ 0.0, 1.4277546296296297, 1.6061574074074074, 1.6952546296296296, 1.7288194444444445, 2.370486111111111, 2.4733796296296298, 3.1288194444444444, 4.8875, 5.008055555555556, 5.645486111111111, 5.6774305555555555, 6.267708333333333, 6.434375, 7.198263888888889, 7.5211805555555555, 12.412152777777777, 12.775115740740741, 12.795833333333333, 14.912152777777777, 16.355208333333334, 16.64525462962963, 17.202430555555555, 17.580601851851853, 18.379050925925927, 18.761226851851852, 19.852430555555557, 20.432986111111113, 21.566898148148148, 22.73287037037037, 23.321180555555557, 23.73576388888889 ], "time_since_last_event": [ 0.0, 1.4277546296296297, 0.17840277777777777, 0.08909722222222222, 0.03356481481481482, 0.6416666666666667, 0.10289351851851852, 0.6554398148148148, 1.7586805555555556, 0.12055555555555555, 0.6374305555555555, 0.03194444444444444, 0.5902777777777778, 0.16666666666666666, 0.7638888888888888, 0.3229166666666667, 4.8909722222222225, 0.362962962962963, 0.020717592592592593, 2.1163194444444446, 1.4430555555555555, 0.2900462962962963, 0.5571759259259259, 0.3781712962962963, 0.7984490740740741, 0.3821759259259259, 1.0912037037037037, 0.5805555555555556, 1.133912037037037, 1.1659722222222222, 0.5883101851851852, 0.41458333333333336 ], "type_event": [ 7, 0, 6, 9, 8, 10, 16, 7, 5, 1, 0, 7, 7, 2, 4, 7, 3, 10, 7, 3, 7, 7, 7, 10, 6, 0, 6, 7, 9, 9, 7, 0 ], "type_text": [ "Battery", "Theft", "Criminal Damage", "Assault", "Other Offense", "Burglary", "Narcotics", "Battery", "Criminal Trespass", "Weapons Violation", "Theft", "Battery", "Battery", "Sex Offense", "Motor Vehicle Theft", "Battery", "Deceptive Practice", "Burglary", "Battery", "Deceptive Practice", "Battery", "Battery", "Battery", "Burglary", "Criminal Damage", "Theft", "Criminal Damage", "Battery", "Assault", "Assault", "Battery", "Theft" ], "description": "The sequence of crime incidents shows a variety of offenses occurring over time, with certain types of crimes appearing more frequently in specific periods. Initially, incidents such as battery, theft, and criminal damage are reported within the first few months, indicating a cluster of offenses early in the timeline. As time progresses, there is a notable increase in battery incidents, particularly around the 12 to 24-month mark, alongside a re-emergence of burglary and theft offenses. The sequence also highlights a pattern of deceptive practices and assaults occurring later in the timeline, suggesting a shift in the types of crimes reported as time advances." }, { "dim_process": 20, "seq_idx": 144, "seq_len": 71, "time_since_start": [ 0.0, 0.5300925925925926, 1.0231481481481481, 1.025925925925926, 1.3773148148148149, 1.5561342592592593, 1.6655092592592593, 1.955787037037037, 2.432824074074074, 2.9092592592592594, 3.1369212962962965, 3.9001157407407407, 3.982175925925926, 3.9988425925925926, 5.498634259259259, 5.903356481481482, 6.003703703703704, 6.532175925925926, 6.857175925925926, 7.737615740740741, 9.673472222222221, 9.843981481481482, 9.974467592592593, 10.298310185185185, 10.544675925925926, 10.73525462962963, 11.300208333333334, 11.494143518518518, 11.577361111111111, 11.810671296296297, 11.93912037037037, 12.166203703703705, 12.200787037037037, 12.739351851851852, 13.669675925925926, 14.1, 14.825925925925926, 14.990162037037036, 15.27375, 15.658217592592592, 15.699305555555556, 16.062037037037037, 16.328703703703702, 16.747453703703705, 17.132152777777776, 17.192685185185184, 17.245763888888888, 17.357175925925926, 17.72627314814815, 17.834606481481483, 19.46203703703704, 19.810648148148147, 20.112037037037037, 20.123541666666668, 20.16550925925926, 20.167291666666667, 20.23263888888889, 20.338912037037037, 20.660648148148148, 20.811666666666667, 21.059375, 21.065162037037037, 21.07002314814815, 21.36898148148148, 21.39738425925926, 21.59224537037037, 21.673148148148147, 21.893680555555555, 21.967824074074073, 22.102314814814815, 22.115439814814813 ], "time_since_last_event": [ 0.0, 0.5300925925925926, 0.4930555555555556, 0.002777777777777778, 0.35138888888888886, 0.17881944444444445, 0.109375, 0.2902777777777778, 0.47703703703703704, 0.4764351851851852, 0.22766203703703702, 0.7631944444444444, 0.08206018518518518, 0.016666666666666666, 1.4997916666666666, 0.4047222222222222, 0.10034722222222223, 0.5284722222222222, 0.325, 0.8804398148148148, 1.9358564814814814, 0.17050925925925925, 0.1304861111111111, 0.32384259259259257, 0.24636574074074075, 0.1905787037037037, 0.5649537037037037, 0.19393518518518518, 0.08321759259259259, 0.23331018518518518, 0.12844907407407408, 0.22708333333333333, 0.034583333333333334, 0.5385648148148148, 0.930324074074074, 0.4303240740740741, 0.725925925925926, 0.1642361111111111, 0.28358796296296296, 0.3844675925925926, 0.041087962962962965, 0.3627314814814815, 0.26666666666666666, 0.41875, 0.38469907407407405, 0.06053240740740741, 0.053078703703703704, 0.11141203703703703, 0.36909722222222224, 0.10833333333333334, 1.6274305555555555, 0.3486111111111111, 0.3013888888888889, 0.01150462962962963, 0.04196759259259259, 0.0017824074074074075, 0.06534722222222222, 0.10627314814814814, 0.3217361111111111, 0.15101851851851852, 0.24770833333333334, 0.005787037037037037, 0.004861111111111111, 0.2989583333333333, 0.028402777777777777, 0.19486111111111112, 0.08090277777777778, 0.2205324074074074, 0.07414351851851853, 0.13449074074074074, 0.013125 ], "type_event": [ 6, 0, 0, 0, 3, 0, 0, 0, 3, 11, 11, 0, 0, 3, 11, 15, 0, 0, 0, 7, 9, 3, 8, 19, 10, 9, 7, 3, 11, 6, 0, 3, 7, 10, 0, 6, 0, 9, 9, 2, 7, 7, 11, 9, 0, 5, 11, 9, 5, 7, 3, 0, 7, 3, 5, 5, 9, 8, 7, 7, 4, 5, 5, 9, 9, 11, 9, 9, 9, 0, 6 ], "type_text": [ "Criminal Damage", "Theft", "Theft", "Theft", "Deceptive Practice", "Theft", "Theft", "Theft", "Deceptive Practice", "Robbery", "Robbery", "Theft", "Theft", "Deceptive Practice", "Robbery", "Interference With Public Officer", "Theft", "Theft", "Theft", "Battery", "Assault", "Deceptive Practice", "Other Offense", "Homicide", "Burglary", "Assault", "Battery", "Deceptive Practice", "Robbery", "Criminal Damage", "Theft", "Deceptive Practice", "Battery", "Burglary", "Theft", "Criminal Damage", "Theft", "Assault", "Assault", "Sex Offense", "Battery", "Battery", "Robbery", "Assault", "Theft", "Criminal Trespass", "Robbery", "Assault", "Criminal Trespass", "Battery", "Deceptive Practice", "Theft", "Battery", "Deceptive Practice", "Criminal Trespass", "Criminal Trespass", "Assault", "Other Offense", "Battery", "Battery", "Motor Vehicle Theft", "Criminal Trespass", "Criminal Trespass", "Assault", "Assault", "Robbery", "Assault", "Assault", "Assault", "Theft", "Criminal Damage" ], "description": "The sequence of crime incidents shows a notable clustering of thefts occurring primarily in the early months, with a significant number of theft events concentrated within the first two years. Deceptive practices appear intermittently throughout the timeline, particularly in the early and later months. Robberies increase in frequency after the first year, with multiple occurrences noted in the following months. Assaults and batteries also emerge as significant events, particularly in the later months, while other offenses and criminal trespasses appear sporadically throughout the timeline. Overall, the sequence indicates a progression from theft-dominant incidents to a more varied mix of crime types as time advances." }, { "dim_process": 20, "seq_idx": 145, "seq_len": 32, "time_since_start": [ 0.0, 0.10504629629629629, 1.676574074074074, 2.0371064814814814, 6.524953703703703, 6.963634259259259, 8.029305555555556, 8.731203703703704, 9.245787037037037, 10.512453703703704, 11.286550925925926, 11.46662037037037, 12.742430555555556, 12.873564814814815, 13.351527777777777, 13.58363425925926, 13.629814814814814, 14.845787037037036, 15.248564814814815, 15.408287037037036, 16.795277777777777, 16.934675925925927, 18.02148148148148, 18.623564814814817, 19.334675925925925, 20.543518518518518, 20.9775, 21.011967592592594, 21.242569444444445, 21.351805555555554, 21.74125, 23.488842592592594 ], "time_since_last_event": [ 0.0, 0.10504629629629629, 1.5715277777777779, 0.3605324074074074, 4.487847222222222, 0.4386805555555556, 1.0656712962962962, 0.7018981481481481, 0.5145833333333333, 1.2666666666666666, 0.7740972222222222, 0.18006944444444445, 1.275810185185185, 0.13113425925925926, 0.477962962962963, 0.23210648148148147, 0.04618055555555556, 1.2159722222222222, 0.4027777777777778, 0.1597222222222222, 1.3869907407407407, 0.13939814814814816, 1.0868055555555556, 0.6020833333333333, 0.7111111111111111, 1.2088425925925925, 0.43398148148148147, 0.03446759259259259, 0.23060185185185186, 0.10923611111111112, 0.3894444444444444, 1.7475925925925926 ], "type_event": [ 0, 7, 7, 10, 6, 7, 14, 7, 4, 9, 6, 9, 9, 4, 11, 11, 8, 10, 8, 4, 8, 7, 10, 4, 7, 9, 7, 18, 9, 11, 7, 9 ], "type_text": [ "Theft", "Battery", "Battery", "Burglary", "Criminal Damage", "Battery", "Criminal Sexual Assault", "Battery", "Motor Vehicle Theft", "Assault", "Criminal Damage", "Assault", "Assault", "Motor Vehicle Theft", "Robbery", "Robbery", "Other Offense", "Burglary", "Other Offense", "Motor Vehicle Theft", "Other Offense", "Battery", "Burglary", "Motor Vehicle Theft", "Battery", "Assault", "Battery", "Public Peace Violation", "Assault", "Robbery", "Battery", "Assault" ], "description": "The sequence of crime incidents in Chicago begins with theft and battery occurring in the initial months. Battery incidents appear frequently throughout the timeline, particularly clustered in the early and later months. Burglary and motor vehicle thefts emerge at various points, with burglaries occurring in the mid to late timeline. Assaults also show a consistent presence, especially in the latter half of the sequence, while robberies and other offenses appear sporadically. Criminal damage is noted in the middle of the timeline, indicating a varied pattern of crime types over time." }, { "dim_process": 20, "seq_idx": 146, "seq_len": 35, "time_since_start": [ 0.0, 1.0420138888888888, 1.4759722222222222, 3.4038194444444443, 3.6927083333333335, 5.232986111111111, 6.382986111111111, 7.729513888888889, 8.642013888888888, 9.440625, 10.675324074074075, 12.142592592592592, 12.274652777777778, 14.002430555555556, 14.119097222222223, 14.232986111111112, 14.431828703703705, 14.488148148148149, 14.955208333333333, 15.338541666666666, 15.85173611111111, 16.391319444444445, 16.71909722222222, 17.07888888888889, 18.10798611111111, 18.646782407407407, 18.694097222222222, 19.036180555555557, 19.241319444444443, 19.508680555555557, 19.543680555555557, 19.558587962962964, 19.627916666666668, 20.11076388888889, 20.388657407407408 ], "time_since_last_event": [ 0.0, 1.0420138888888888, 0.43395833333333333, 1.9278472222222223, 0.28888888888888886, 1.5402777777777779, 1.15, 1.3465277777777778, 0.9125, 0.7986111111111112, 1.234699074074074, 1.4672685185185186, 0.1320601851851852, 1.7277777777777779, 0.11666666666666667, 0.11388888888888889, 0.1988425925925926, 0.05631944444444444, 0.46706018518518516, 0.38333333333333336, 0.5131944444444444, 0.5395833333333333, 0.3277777777777778, 0.3597916666666667, 1.0290972222222223, 0.5387962962962963, 0.047314814814814816, 0.34208333333333335, 0.2051388888888889, 0.2673611111111111, 0.035, 0.014907407407407407, 0.0693287037037037, 0.4828472222222222, 0.2778935185185185 ], "type_event": [ 9, 7, 9, 4, 0, 10, 0, 5, 0, 5, 3, 3, 3, 0, 0, 0, 9, 1, 3, 0, 3, 7, 0, 7, 3, 8, 6, 0, 0, 0, 0, 0, 0, 4, 6 ], "type_text": [ "Assault", "Battery", "Assault", "Motor Vehicle Theft", "Theft", "Burglary", "Theft", "Criminal Trespass", "Theft", "Criminal Trespass", "Deceptive Practice", "Deceptive Practice", "Deceptive Practice", "Theft", "Theft", "Theft", "Assault", "Weapons Violation", "Deceptive Practice", "Theft", "Deceptive Practice", "Battery", "Theft", "Battery", "Deceptive Practice", "Other Offense", "Criminal Damage", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Motor Vehicle Theft", "Criminal Damage" ], "description": "The sequence of crime incidents shows a variety of crime types occurring over time, with certain patterns in their timing. Initially, assaults and batteries are reported within the first few months, followed by a mix of thefts and property crimes that begin to increase significantly around the 14-month mark. Deceptive practices appear consistently throughout the sequence, particularly clustered in the later months. The frequency of thefts peaks towards the end of the timeline, indicating a trend of increasing theft incidents as time progresses. Additionally, motor vehicle thefts are noted at both the early and later stages of the sequence, suggesting a recurring issue." }, { "dim_process": 20, "seq_idx": 147, "seq_len": 53, "time_since_start": [ 0.0, 0.8685879629629629, 1.5314814814814814, 1.5698611111111112, 2.1708796296296295, 2.328125, 2.6041666666666665, 2.604537037037037, 3.2371527777777778, 3.734490740740741, 4.204675925925926, 4.210717592592593, 4.705092592592592, 5.6406018518518515, 6.503472222222222, 6.752662037037037, 6.840277777777778, 8.008587962962963, 8.133680555555555, 8.614166666666666, 8.91388888888889, 8.947222222222223, 9.075625, 10.136435185185185, 10.264236111111112, 10.33449074074074, 11.41388888888889, 11.97037037037037, 12.72650462962963, 12.93414351851852, 13.363888888888889, 14.042939814814815, 14.572685185185184, 16.867361111111112, 16.93263888888889, 17.193055555555556, 17.285092592592594, 17.2875, 17.97337962962963, 18.308333333333334, 18.71087962962963, 18.875, 19.42071759259259, 19.513194444444444, 19.564097222222223, 19.663194444444443, 20.169097222222224, 20.83974537037037, 21.06736111111111, 22.53125, 22.841666666666665, 23.301435185185184, 23.605555555555554 ], "time_since_last_event": [ 0.0, 0.8685879629629629, 0.6628935185185185, 0.03837962962962963, 0.6010185185185185, 0.15724537037037037, 0.2760416666666667, 0.00037037037037037035, 0.6326157407407408, 0.49733796296296295, 0.4701851851851852, 0.0060416666666666665, 0.494375, 0.9355092592592592, 0.8628703703703704, 0.2491898148148148, 0.08761574074074074, 1.1683101851851851, 0.1250925925925926, 0.4804861111111111, 0.2997222222222222, 0.03333333333333333, 0.12840277777777778, 1.0608101851851852, 0.12780092592592593, 0.07025462962962963, 1.079398148148148, 0.5564814814814815, 0.7561342592592593, 0.2076388888888889, 0.42974537037037036, 0.679050925925926, 0.5297453703703704, 2.294675925925926, 0.06527777777777778, 0.2604166666666667, 0.09203703703703704, 0.0024074074074074076, 0.6858796296296297, 0.3349537037037037, 0.4025462962962963, 0.16412037037037036, 0.5457175925925926, 0.09247685185185185, 0.050902777777777776, 0.09909722222222223, 0.5059027777777778, 0.6706481481481481, 0.22761574074074073, 1.4638888888888888, 0.3104166666666667, 0.4597685185185185, 0.3041203703703704 ], "type_event": [ 0, 7, 0, 4, 0, 9, 6, 6, 0, 0, 1, 7, 0, 0, 0, 10, 3, 10, 9, 0, 0, 0, 7, 7, 0, 0, 10, 3, 7, 0, 0, 9, 2, 7, 0, 3, 6, 10, 11, 6, 0, 6, 10, 6, 4, 0, 0, 11, 0, 17, 0, 6, 0 ], "type_text": [ "Theft", "Battery", "Theft", "Motor Vehicle Theft", "Theft", "Assault", "Criminal Damage", "Criminal Damage", "Theft", "Theft", "Weapons Violation", "Battery", "Theft", "Theft", "Theft", "Burglary", "Deceptive Practice", "Burglary", "Assault", "Theft", "Theft", "Theft", "Battery", "Battery", "Theft", "Theft", "Burglary", "Deceptive Practice", "Battery", "Theft", "Theft", "Assault", "Sex Offense", "Battery", "Theft", "Deceptive Practice", "Criminal Damage", "Burglary", "Robbery", "Criminal Damage", "Theft", "Criminal Damage", "Burglary", "Criminal Damage", "Motor Vehicle Theft", "Theft", "Theft", "Robbery", "Theft", "Stalking", "Theft", "Criminal Damage", "Theft" ], "description": "The sequence of crime incidents shows a pattern where theft is the most frequently reported crime, occurring throughout the timeline with notable clusters at various intervals. Battery and criminal damage incidents also appear multiple times, particularly in the earlier months. Burglary incidents start to emerge around the six-month mark and continue to appear intermittently. Additionally, there are spikes in violent crimes, such as assault and robbery, occurring later in the timeline. Deceptive practices and weapons violations appear sporadically, contributing to the overall diversity of crime types reported over time." }, { "dim_process": 20, "seq_idx": 148, "seq_len": 34, "time_since_start": [ 0.0, 0.5868055555555556, 1.31875, 1.5638194444444444, 1.636111111111111, 1.7384259259259258, 2.4886574074074073, 3.585462962962963, 4.715625, 6.797800925925926, 7.831944444444445, 10.003819444444444, 10.53125, 10.745833333333334, 12.286527777777778, 12.6875, 12.757685185185185, 13.798032407407407, 14.636111111111111, 15.118055555555555, 15.501550925925926, 15.547847222222222, 15.54962962962963, 15.549907407407407, 15.610925925925926, 15.733587962962963, 15.80486111111111, 17.336111111111112, 17.979444444444443, 18.6375, 19.0125, 19.019675925925927, 19.105555555555554, 20.129166666666666 ], "time_since_last_event": [ 0.0, 0.5868055555555556, 0.7319444444444444, 0.24506944444444445, 0.07229166666666667, 0.10231481481481482, 0.7502314814814814, 1.0968055555555556, 1.130162037037037, 2.082175925925926, 1.0341435185185186, 2.171875, 0.5274305555555555, 0.21458333333333332, 1.5406944444444444, 0.40097222222222223, 0.07018518518518518, 1.0403472222222223, 0.8380787037037037, 0.48194444444444445, 0.38349537037037035, 0.046296296296296294, 0.0017824074074074075, 0.0002777777777777778, 0.06101851851851852, 0.12266203703703704, 0.07127314814814815, 1.53125, 0.6433333333333333, 0.6580555555555555, 0.375, 0.007175925925925926, 0.08587962962962963, 1.023611111111111 ], "type_event": [ 0, 7, 7, 7, 0, 17, 1, 9, 6, 6, 9, 6, 5, 4, 1, 6, 6, 7, 4, 6, 3, 1, 9, 16, 5, 5, 6, 0, 9, 0, 6, 6, 6, 0 ], "type_text": [ "Theft", "Battery", "Battery", "Battery", "Theft", "Stalking", "Weapons Violation", "Assault", "Criminal Damage", "Criminal Damage", "Assault", "Criminal Damage", "Criminal Trespass", "Motor Vehicle Theft", "Weapons Violation", "Criminal Damage", "Criminal Damage", "Battery", "Motor Vehicle Theft", "Criminal Damage", "Deceptive Practice", "Weapons Violation", "Assault", "Narcotics", "Criminal Trespass", "Criminal Trespass", "Criminal Damage", "Theft", "Assault", "Theft", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Theft" ], "description": "The sequence of crime incidents begins with theft and battery occurring within the first two months, followed by a series of battery incidents clustered closely together. As time progresses, there is a notable increase in the variety of crime types, with weapons violations and assaults appearing around the third to fifth months. Criminal damage incidents start to emerge more frequently after the sixth month, peaking in the later months alongside a resurgence of theft and other crime types. The latter part of the sequence shows a mix of theft, criminal damage, and various other offenses, indicating a diverse range of incidents occurring as time goes on." }, { "dim_process": 20, "seq_idx": 149, "seq_len": 32, "time_since_start": [ 0.0, 0.004166666666666667, 0.12606481481481482, 0.23842592592592593, 1.7384259259259258, 1.7386574074074075, 3.5963194444444446, 4.309722222222222, 4.582638888888889, 5.818125, 7.001388888888889, 7.5, 7.5670370370370375, 7.991666666666666, 9.284722222222221, 9.6875, 13.380555555555556, 13.520486111111111, 13.770092592592592, 14.12673611111111, 14.353125, 14.574537037037038, 14.73611111111111, 14.770023148148148, 14.791458333333333, 14.816666666666666, 15.766666666666667, 17.19212962962963, 18.87638888888889, 20.4125, 23.5875, 23.95138888888889 ], "time_since_last_event": [ 0.0, 0.004166666666666667, 0.12189814814814814, 0.1123611111111111, 1.5, 0.0002314814814814815, 1.8576620370370371, 0.7134027777777778, 0.27291666666666664, 1.235486111111111, 1.183263888888889, 0.4986111111111111, 0.06703703703703703, 0.42462962962962963, 1.2930555555555556, 0.4027777777777778, 3.6930555555555555, 0.13993055555555556, 0.24960648148148148, 0.3566435185185185, 0.2263888888888889, 0.22141203703703705, 0.16157407407407406, 0.03391203703703704, 0.021435185185185186, 0.025208333333333333, 0.95, 1.425462962962963, 1.6842592592592593, 1.5361111111111112, 3.175, 0.3638888888888889 ], "type_event": [ 8, 3, 7, 6, 3, 1, 7, 3, 4, 6, 0, 3, 9, 9, 0, 6, 11, 0, 0, 7, 0, 0, 0, 0, 7, 9, 4, 7, 4, 9, 3, 0 ], "type_text": [ "Other Offense", "Deceptive Practice", "Battery", "Criminal Damage", "Deceptive Practice", "Weapons Violation", "Battery", "Deceptive Practice", "Motor Vehicle Theft", "Criminal Damage", "Theft", "Deceptive Practice", "Assault", "Assault", "Theft", "Criminal Damage", "Robbery", "Theft", "Theft", "Battery", "Theft", "Theft", "Theft", "Theft", "Battery", "Assault", "Motor Vehicle Theft", "Battery", "Motor Vehicle Theft", "Assault", "Deceptive Practice", "Theft" ], "description": "The sequence of crime incidents shows a varied pattern over time, with multiple types of offenses occurring at different intervals. Initially, there are incidents of deceptive practices and batteries clustered within the first few months. As time progresses, thefts and deceptive practices become more frequent, particularly around the 7 to 14-month mark, where theft incidents notably increase. Towards the later months, there is a resurgence of motor vehicle thefts and assaults, indicating a shift in the types of crimes reported as the sequence unfolds. Overall, the data reflects a trend of escalating theft-related offenses and recurring deceptive practices throughout the timeline." }, { "dim_process": 20, "seq_idx": 150, "seq_len": 55, "time_since_start": [ 0.0, 1.5385416666666667, 1.6111111111111112, 1.7175925925925926, 2.8722222222222222, 3.3456944444444443, 3.4430555555555555, 3.671875, 3.8854166666666665, 4.665162037037037, 5.38125, 5.456944444444445, 5.662268518518519, 5.877430555555556, 6.1402777777777775, 6.243055555555555, 6.276388888888889, 6.5159722222222225, 6.529583333333333, 6.5478703703703705, 7.298611111111111, 7.624305555555556, 7.625393518518519, 7.856597222222222, 8.679398148148149, 8.708333333333334, 9.144791666666666, 9.350347222222222, 9.81550925925926, 12.50625, 12.841550925925926, 13.70011574074074, 13.934074074074074, 13.981944444444444, 14.705902777777778, 15.769675925925926, 16.17013888888889, 16.279166666666665, 16.860347222222224, 17.252083333333335, 17.574305555555554, 18.238611111111112, 18.53738425925926, 18.904166666666665, 18.91125, 19.204166666666666, 19.274305555555557, 20.305555555555557, 21.491666666666667, 22.03796296296296, 22.103819444444444, 22.12761574074074, 22.30840277777778, 22.540462962962962, 22.75428240740741 ], "time_since_last_event": [ 0.0, 1.5385416666666667, 0.07256944444444445, 0.10648148148148148, 1.1546296296296297, 0.47347222222222224, 0.0973611111111111, 0.22881944444444444, 0.21354166666666666, 0.7797453703703704, 0.716087962962963, 0.07569444444444444, 0.20532407407407408, 0.21516203703703704, 0.26284722222222223, 0.10277777777777777, 0.03333333333333333, 0.23958333333333334, 0.01361111111111111, 0.018287037037037036, 0.7507407407407407, 0.32569444444444445, 0.0010879629629629629, 0.23120370370370372, 0.8228009259259259, 0.028935185185185185, 0.43645833333333334, 0.20555555555555555, 0.465162037037037, 2.6907407407407407, 0.3353009259259259, 0.8585648148148148, 0.23395833333333332, 0.04787037037037037, 0.7239583333333334, 1.063773148148148, 0.40046296296296297, 0.10902777777777778, 0.5811805555555556, 0.3917361111111111, 0.32222222222222224, 0.6643055555555556, 0.29877314814814815, 0.3667824074074074, 0.007083333333333333, 0.29291666666666666, 0.07013888888888889, 1.03125, 1.1861111111111111, 0.5462962962962963, 0.06585648148148149, 0.023796296296296298, 0.18078703703703702, 0.23206018518518517, 0.21381944444444445 ], "type_event": [ 18, 10, 6, 6, 10, 1, 0, 6, 0, 6, 0, 6, 0, 0, 0, 0, 6, 0, 0, 9, 3, 6, 6, 6, 0, 0, 0, 11, 7, 0, 4, 6, 0, 0, 0, 0, 0, 0, 11, 6, 0, 0, 8, 0, 11, 4, 6, 6, 8, 0, 8, 0, 6, 8, 6 ], "type_text": [ "Public Peace Violation", "Burglary", "Criminal Damage", "Criminal Damage", "Burglary", "Weapons Violation", "Theft", "Criminal Damage", "Theft", "Criminal Damage", "Theft", "Criminal Damage", "Theft", "Theft", "Theft", "Theft", "Criminal Damage", "Theft", "Theft", "Assault", "Deceptive Practice", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Theft", "Theft", "Theft", "Robbery", "Battery", "Theft", "Motor Vehicle Theft", "Criminal Damage", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Robbery", "Criminal Damage", "Theft", "Theft", "Other Offense", "Theft", "Robbery", "Motor Vehicle Theft", "Criminal Damage", "Criminal Damage", "Other Offense", "Theft", "Other Offense", "Theft", "Criminal Damage", "Other Offense", "Criminal Damage" ], "description": "The sequence of crime incidents shows a notable clustering of events, particularly in the early months, with a mix of public peace violations, burglaries, and criminal damage occurring within the first few months. As time progresses, theft becomes the predominant crime type, peaking around the six to eight-month mark, followed by a gradual increase in criminal damage incidents. Robberies and motor vehicle thefts appear later in the timeline, indicating a shift in the types of crimes reported as time advances. Additionally, other offenses emerge intermittently, often coinciding with periods of heightened theft and criminal damage." }, { "dim_process": 20, "seq_idx": 151, "seq_len": 44, "time_since_start": [ 0.0, 0.2611111111111111, 0.5650462962962963, 0.7926157407407407, 0.9041666666666667, 1.3295138888888889, 2.723263888888889, 3.3893518518518517, 4.508356481481481, 5.132638888888889, 5.236111111111111, 7.070671296296296, 7.504166666666666, 7.879166666666666, 8.09386574074074, 8.36199074074074, 8.364421296296296, 8.603472222222223, 9.395949074074075, 9.532546296296296, 9.735416666666667, 9.743055555555555, 9.845833333333333, 10.056944444444444, 10.174305555555556, 10.57638888888889, 12.10138888888889, 12.556944444444444, 13.193055555555556, 14.027430555555556, 14.471921296296296, 15.14861111111111, 16.411087962962963, 17.179212962962964, 17.23263888888889, 17.34611111111111, 17.505555555555556, 18.86863425925926, 19.759722222222223, 19.804259259259258, 21.601388888888888, 22.358333333333334, 23.994444444444444, 24.095833333333335 ], "time_since_last_event": [ 0.0, 0.2611111111111111, 0.3039351851851852, 0.22756944444444444, 0.11155092592592593, 0.4253472222222222, 1.39375, 0.6660879629629629, 1.1190046296296297, 0.6242824074074074, 0.10347222222222222, 1.8345601851851852, 0.4334953703703704, 0.375, 0.21469907407407407, 0.268125, 0.0024305555555555556, 0.23905092592592592, 0.7924768518518519, 0.13659722222222223, 0.20287037037037037, 0.007638888888888889, 0.10277777777777777, 0.2111111111111111, 0.11736111111111111, 0.40208333333333335, 1.525, 0.45555555555555555, 0.6361111111111111, 0.834375, 0.44449074074074074, 0.6766898148148148, 1.2624768518518519, 0.768125, 0.053425925925925925, 0.11347222222222222, 0.15944444444444444, 1.3630787037037038, 0.891087962962963, 0.044537037037037035, 1.7971296296296295, 0.7569444444444444, 1.636111111111111, 0.10138888888888889 ], "type_event": [ 8, 7, 7, 8, 4, 6, 0, 7, 1, 8, 0, 7, 4, 6, 4, 10, 8, 4, 8, 0, 4, 0, 3, 0, 0, 11, 4, 4, 4, 7, 1, 4, 7, 8, 6, 7, 6, 4, 10, 7, 4, 0, 10, 0 ], "type_text": [ "Other Offense", "Battery", "Battery", "Other Offense", "Motor Vehicle Theft", "Criminal Damage", "Theft", "Battery", "Weapons Violation", "Other Offense", "Theft", "Battery", "Motor Vehicle Theft", "Criminal Damage", "Motor Vehicle Theft", "Burglary", "Other Offense", "Motor Vehicle Theft", "Other Offense", "Theft", "Motor Vehicle Theft", "Theft", "Deceptive Practice", "Theft", "Theft", "Robbery", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Battery", "Weapons Violation", "Motor Vehicle Theft", "Battery", "Other Offense", "Criminal Damage", "Battery", "Criminal Damage", "Motor Vehicle Theft", "Burglary", "Battery", "Motor Vehicle Theft", "Theft", "Burglary", "Theft" ], "description": "The sequence of crime incidents shows a varied pattern of offenses occurring over time. Initially, there is a mix of \"Other Offense\" and \"Battery\" incidents, with some motor vehicle thefts starting to appear around the 0.9-month mark. As time progresses, there is a notable increase in motor vehicle thefts, particularly clustered between 8 and 12 months, while battery incidents also appear consistently throughout the timeline. The sequence includes multiple occurrences of theft and burglary, particularly in the later months, indicating a trend towards these crime types as time advances. Overall, the data reflects a gradual increase in specific crime types, particularly motor vehicle theft, with certain offenses like battery and criminal damage appearing at various intervals throughout the timeline." }, { "dim_process": 20, "seq_idx": 152, "seq_len": 108, "time_since_start": [ 0.0, 0.011805555555555555, 0.09502314814814815, 0.16875, 0.25763888888888886, 0.45766203703703706, 1.1765972222222223, 1.2068981481481482, 1.2409722222222221, 1.394212962962963, 1.4340277777777777, 1.8768055555555556, 1.9388657407407408, 1.9755787037037038, 2.314398148148148, 2.377083333333333, 2.765972222222222, 2.863888888888889, 2.8756944444444446, 2.95, 2.971412037037037, 3.071875, 3.292708333333333, 3.5988425925925926, 3.623263888888889, 4.003125, 4.03625, 4.166666666666667, 4.709421296296297, 4.7444444444444445, 4.875694444444444, 4.8783564814814815, 5.307638888888889, 5.6744212962962965, 5.677222222222222, 5.678472222222222, 5.807569444444445, 6.2, 6.454074074074074, 6.578009259259259, 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0.049305555555555554, 0.24375, 0.9352314814814815, 0.0009490740740740741, 0.0013194444444444445, 0.10972222222222222, 0.20972222222222223, 0.8423611111111111, 0.2625, 0.45023148148148145, 0.06641203703703703, 0.23335648148148147, 0.09097222222222222, 0.07361111111111111, 0.23476851851851852, 0.16106481481481483, 0.02013888888888889, 0.4378472222222222, 0.03439814814814815, 0.707037037037037, 0.09571759259259259, 0.738912037037037, 0.11247685185185186, 0.059953703703703703, 0.3960648148148148, 0.38384259259259257 ], "type_event": [ 4, 10, 4, 4, 0, 3, 4, 7, 7, 4, 6, 7, 7, 7, 10, 0, 4, 4, 0, 10, 4, 7, 7, 7, 4, 4, 7, 4, 0, 9, 4, 11, 9, 4, 7, 4, 15, 4, 6, 7, 7, 7, 0, 8, 1, 7, 4, 7, 4, 0, 4, 4, 14, 0, 9, 18, 8, 7, 8, 11, 0, 6, 8, 0, 8, 4, 18, 8, 1, 15, 7, 9, 9, 7, 7, 9, 11, 7, 7, 5, 7, 0, 0, 7, 8, 7, 0, 0, 0, 4, 0, 7, 7, 4, 4, 4, 7, 7, 9, 0, 5, 11, 9, 4, 4, 7, 7, 4 ], "type_text": [ "Motor Vehicle Theft", "Burglary", "Motor Vehicle Theft", "Motor Vehicle Theft", "Theft", "Deceptive Practice", "Motor Vehicle Theft", "Battery", "Battery", "Motor Vehicle Theft", "Criminal Damage", "Battery", "Battery", "Battery", "Burglary", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Theft", "Burglary", "Motor Vehicle Theft", "Battery", "Battery", "Battery", "Motor Vehicle Theft", "Motor Vehicle Theft", "Battery", "Motor Vehicle Theft", "Theft", "Assault", "Motor Vehicle Theft", "Robbery", "Assault", "Motor Vehicle Theft", "Battery", "Motor Vehicle Theft", "Interference With Public Officer", "Motor Vehicle Theft", "Criminal Damage", "Battery", "Battery", "Battery", "Theft", "Other Offense", "Weapons Violation", "Battery", "Motor Vehicle Theft", "Battery", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Criminal Sexual Assault", "Theft", "Assault", "Public Peace Violation", "Other Offense", "Battery", "Other Offense", "Robbery", "Theft", "Criminal Damage", "Other Offense", "Theft", "Other Offense", "Motor Vehicle Theft", "Public Peace Violation", "Other Offense", "Weapons Violation", "Interference With Public Officer", "Battery", "Assault", "Assault", "Battery", "Battery", "Assault", "Robbery", "Battery", "Battery", "Criminal Trespass", "Battery", "Theft", "Theft", "Battery", "Other Offense", "Battery", "Theft", "Theft", "Theft", "Motor Vehicle Theft", "Theft", "Battery", "Battery", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Battery", "Battery", "Assault", "Theft", "Criminal Trespass", "Robbery", "Assault", "Motor Vehicle Theft", "Motor Vehicle Theft", "Battery", "Battery", "Motor Vehicle Theft" ], "description": "The sequence of crime incidents shows a notable prevalence of motor vehicle theft, which occurs frequently throughout the timeline, particularly in the earlier months and continuing at regular intervals. Battery incidents also appear consistently, with clusters observed in the middle and later parts of the timeline. Burglary and theft incidents are more concentrated in the earlier months, while other offenses and violent crimes, such as robbery and assault, emerge more prominently in the later stages. Overall, there is a trend of increasing diversity in crime types as time progresses, with a significant number of incidents occurring within specific clusters." }, { "dim_process": 20, "seq_idx": 153, "seq_len": 36, "time_since_start": [ 0.0, 0.1284722222222222, 1.0697916666666667, 1.7164351851851851, 3.337037037037037, 3.682638888888889, 3.7944444444444443, 4.346875, 4.736111111111111, 4.844444444444444, 7.329861111111111, 7.610995370370371, 7.714583333333334, 8.70386574074074, 10.001296296296296, 10.0525, 10.321527777777778, 10.567592592592593, 10.567592592592593, 10.649305555555555, 11.418009259259259, 11.508680555555555, 11.904398148148148, 12.060069444444444, 12.089583333333334, 13.51724537037037, 16.03472222222222, 16.236180555555556, 16.280555555555555, 16.341273148148147, 16.73409722222222, 17.618055555555557, 18.213078703703705, 21.0375, 21.398009259259258, 21.778935185185187 ], "time_since_last_event": [ 0.0, 0.1284722222222222, 0.9413194444444445, 0.6466435185185185, 1.620601851851852, 0.3456018518518518, 0.11180555555555556, 0.5524305555555555, 0.3892361111111111, 0.10833333333333334, 2.4854166666666666, 0.2811342592592593, 0.10358796296296297, 0.9892824074074074, 1.2974305555555556, 0.0512037037037037, 0.26902777777777775, 0.24606481481481482, 0.0, 0.08171296296296296, 0.7687037037037037, 0.09067129629629629, 0.3957175925925926, 0.1556712962962963, 0.029513888888888888, 1.427662037037037, 2.517476851851852, 0.20145833333333332, 0.044375, 0.060717592592592594, 0.39282407407407405, 0.8839583333333333, 0.5950231481481482, 2.8244212962962965, 0.36050925925925925, 0.38092592592592595 ], "type_event": [ 3, 7, 16, 11, 6, 7, 7, 7, 7, 6, 0, 0, 6, 9, 4, 5, 7, 0, 5, 4, 7, 9, 7, 6, 0, 7, 6, 6, 3, 6, 9, 11, 16, 4, 7, 4 ], "type_text": [ "Deceptive Practice", "Battery", "Narcotics", "Robbery", "Criminal Damage", "Battery", "Battery", "Battery", "Battery", "Criminal Damage", "Theft", "Theft", "Criminal Damage", "Assault", "Motor Vehicle Theft", "Criminal Trespass", "Battery", "Theft", "Criminal Trespass", "Motor Vehicle Theft", "Battery", "Assault", "Battery", "Criminal Damage", "Theft", "Battery", "Criminal Damage", "Criminal Damage", "Deceptive Practice", "Criminal Damage", "Assault", "Robbery", "Narcotics", "Motor Vehicle Theft", "Battery", "Motor Vehicle Theft" ], "description": "The sequence of crime incidents begins with a deceptive practice and a battery occurring within the first month. Over the next few months, there is a notable increase in battery incidents, which cluster around the 3 to 5-month mark. As time progresses, theft and criminal damage incidents emerge more frequently, particularly between 7 and 12 months. Towards the later months, there is a rise in motor vehicle thefts and a reoccurrence of battery incidents, indicating a pattern of varied crime types with certain clusters appearing at specific intervals." }, { "dim_process": 20, "seq_idx": 154, "seq_len": 97, "time_since_start": [ 0.0, 0.39699074074074076, 0.6344907407407407, 0.8178240740740741, 1.0747685185185185, 1.9006712962962964, 2.1858796296296297, 2.1924537037037037, 2.2230555555555553, 2.4997685185185183, 2.706898148148148, 2.990601851851852, 3.0230324074074075, 3.4841435185185183, 3.484722222222222, 3.756365740740741, 3.9768518518518516, 4.142361111111111, 4.336574074074074, 4.4185185185185185, 4.472407407407408, 4.830324074074074, 5.068402777777778, 5.128935185185185, 5.583796296296296, 5.920601851851852, 6.036134259259259, 6.265046296296297, 7.1431712962962965, 7.7831018518518515, 7.790069444444445, 8.319212962962963, 8.378935185185185, 8.473611111111111, 8.66087962962963, 8.765046296296296, 8.879074074074074, 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23.166435185185186, 23.169212962962963, 23.524074074074075, 23.654282407407408, 23.665578703703705, 23.944953703703703, 23.95201388888889, 24.01574074074074, 24.10949074074074 ], "time_since_last_event": [ 0.0, 0.39699074074074076, 0.2375, 0.18333333333333332, 0.2569444444444444, 0.8259027777777778, 0.28520833333333334, 0.006574074074074074, 0.030601851851851852, 0.27671296296296294, 0.20712962962962964, 0.2837037037037037, 0.03243055555555555, 0.46111111111111114, 0.0005787037037037037, 0.27164351851851853, 0.2204861111111111, 0.16550925925925927, 0.19421296296296298, 0.08194444444444444, 0.05388888888888889, 0.35791666666666666, 0.2380787037037037, 0.06053240740740741, 0.4548611111111111, 0.3368055555555556, 0.1155324074074074, 0.22891203703703702, 0.878125, 0.6399305555555556, 0.006967592592592593, 0.5291435185185185, 0.059722222222222225, 0.09467592592592593, 0.18726851851851853, 0.10416666666666667, 0.11402777777777778, 0.44708333333333333, 0.08263888888888889, 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0.002777777777777778, 0.3548611111111111, 0.13020833333333334, 0.011296296296296296, 0.279375, 0.007060185185185185, 0.06372685185185185, 0.09375 ], "type_event": [ 8, 10, 0, 14, 6, 0, 14, 9, 10, 8, 9, 1, 1, 7, 6, 7, 6, 7, 6, 7, 7, 14, 9, 7, 6, 0, 0, 2, 9, 4, 7, 9, 4, 8, 3, 0, 4, 4, 6, 9, 4, 10, 7, 4, 9, 6, 10, 4, 9, 4, 7, 0, 0, 7, 4, 10, 7, 6, 9, 7, 6, 0, 8, 7, 4, 5, 6, 0, 4, 9, 1, 4, 9, 9, 3, 8, 14, 7, 4, 9, 7, 7, 6, 0, 0, 4, 7, 6, 3, 9, 0, 11, 5, 7, 7, 4, 7 ], "type_text": [ "Other Offense", "Burglary", "Theft", "Criminal Sexual Assault", "Criminal Damage", "Theft", "Criminal Sexual Assault", "Assault", "Burglary", "Other Offense", "Assault", "Weapons Violation", "Weapons Violation", "Battery", "Criminal Damage", "Battery", "Criminal Damage", "Battery", "Criminal Damage", "Battery", "Battery", "Criminal Sexual Assault", "Assault", "Battery", "Criminal Damage", "Theft", "Theft", "Sex Offense", "Assault", "Motor Vehicle Theft", "Battery", "Assault", "Motor Vehicle Theft", "Other Offense", "Deceptive Practice", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Criminal Damage", "Assault", "Motor Vehicle Theft", "Burglary", "Battery", "Motor Vehicle Theft", "Assault", "Criminal Damage", "Burglary", "Motor Vehicle Theft", "Assault", "Motor Vehicle Theft", "Battery", "Theft", "Theft", "Battery", "Motor Vehicle Theft", "Burglary", "Battery", "Criminal Damage", "Assault", "Battery", "Criminal Damage", "Theft", "Other Offense", "Battery", "Motor Vehicle Theft", "Criminal Trespass", "Criminal Damage", "Theft", "Motor Vehicle Theft", "Assault", "Weapons Violation", "Motor Vehicle Theft", "Assault", "Assault", "Deceptive Practice", "Other Offense", "Criminal Sexual Assault", "Battery", "Motor Vehicle Theft", "Assault", "Battery", "Battery", "Criminal Damage", "Theft", "Theft", "Motor Vehicle Theft", "Battery", "Criminal Damage", "Deceptive Practice", "Assault", "Theft", "Robbery", "Criminal Trespass", "Battery", "Battery", "Motor Vehicle Theft", "Battery" ], "description": "The sequence of crime incidents in the block shows a progression of various crime types over time, with notable clustering of certain offenses. Initially, there are a mix of offenses, including burglaries and thefts, but as time progresses, incidents of assault and battery become more frequent, particularly in the latter months. Motor vehicle thefts emerge prominently in the middle to later stages of the timeline, indicating a potential increase in this specific crime type. Additionally, criminal damage incidents appear consistently throughout the timeline, suggesting a persistent issue. Overall, the data reflects a dynamic pattern of crime with certain types becoming more prevalent at different intervals." }, { "dim_process": 20, "seq_idx": 155, "seq_len": 37, "time_since_start": [ 0.0, 0.5888888888888889, 0.6972222222222222, 2.307638888888889, 2.3465277777777778, 3.0875, 3.301388888888889, 3.890277777777778, 3.9722222222222223, 4.2027777777777775, 4.524305555555555, 4.951157407407408, 7.170046296296296, 8.379166666666666, 8.722222222222221, 8.855555555555556, 9.230925925925925, 9.825694444444444, 10.881944444444445, 12.08125, 14.940625, 15.836828703703704, 16.033217592592592, 16.926643518518517, 17.01527777777778, 17.325, 17.80388888888889, 18.29650462962963, 19.341666666666665, 20.076944444444443, 20.491666666666667, 20.837268518518517, 21.190277777777776, 21.853472222222223, 21.858587962962964, 22.34722222222222, 23.283333333333335 ], "time_since_last_event": [ 0.0, 0.5888888888888889, 0.10833333333333334, 1.6104166666666666, 0.03888888888888889, 0.7409722222222223, 0.21388888888888888, 0.5888888888888889, 0.08194444444444444, 0.23055555555555557, 0.3215277777777778, 0.42685185185185187, 2.218888888888889, 1.2091203703703703, 0.34305555555555556, 0.13333333333333333, 0.37537037037037035, 0.5947685185185185, 1.05625, 1.1993055555555556, 2.859375, 0.8962037037037037, 0.1963888888888889, 0.893425925925926, 0.08863425925925926, 0.30972222222222223, 0.47888888888888886, 0.4926157407407407, 1.0451620370370371, 0.7352777777777778, 0.4147222222222222, 0.3456018518518518, 0.35300925925925924, 0.6631944444444444, 0.005115740740740741, 0.48863425925925924, 0.9361111111111111 ], "type_event": [ 4, 3, 6, 0, 0, 0, 6, 4, 3, 17, 11, 0, 0, 3, 0, 0, 6, 4, 3, 0, 7, 7, 10, 6, 0, 0, 8, 11, 3, 4, 6, 17, 0, 7, 8, 0, 0 ], "type_text": [ "Motor Vehicle Theft", "Deceptive Practice", "Criminal Damage", "Theft", "Theft", "Theft", "Criminal Damage", "Motor Vehicle Theft", "Deceptive Practice", "Stalking", "Robbery", "Theft", "Theft", "Deceptive Practice", "Theft", "Theft", "Criminal Damage", "Motor Vehicle Theft", "Deceptive Practice", "Theft", "Battery", "Battery", "Burglary", "Criminal Damage", "Theft", "Theft", "Other Offense", "Robbery", "Deceptive Practice", "Motor Vehicle Theft", "Criminal Damage", "Stalking", "Theft", "Battery", "Other Offense", "Theft", "Theft" ], "description": "The sequence of crime incidents shows a pattern where theft-related offenses are prevalent throughout, particularly clustering in the early and later months of the timeline. Motor vehicle thefts and criminal damage incidents appear multiple times, with a noticeable increase in frequency in the middle of the sequence. Deceptive practices are also recurrent, occurring at various intervals. Other offenses, including robbery and battery, appear sporadically, with no distinct clustering. Overall, the timeline indicates a gradual escalation of theft and criminal damage incidents over time." }, { "dim_process": 20, "seq_idx": 156, "seq_len": 32, "time_since_start": [ 0.0, 0.1063888888888889, 1.566111111111111, 4.512060185185185, 4.697222222222222, 5.815231481481481, 5.830555555555556, 6.70625, 6.843055555555556, 6.863888888888889, 7.341666666666667, 9.251388888888888, 9.26388888888889, 10.480555555555556, 10.544675925925926, 11.051273148148148, 11.951574074074074, 12.136111111111111, 12.16537037037037, 12.358101851851853, 13.56875, 14.947222222222223, 15.786111111111111, 16.205902777777776, 16.36111111111111, 16.363888888888887, 18.043865740740742, 18.435532407407408, 20.76527777777778, 21.196875, 21.378680555555555, 21.963194444444444 ], "time_since_last_event": [ 0.0, 0.1063888888888889, 1.4597222222222221, 2.945949074074074, 0.18516203703703704, 1.1180092592592592, 0.015324074074074073, 0.8756944444444444, 0.13680555555555557, 0.020833333333333332, 0.4777777777777778, 1.9097222222222223, 0.0125, 1.2166666666666666, 0.06412037037037037, 0.5065972222222223, 0.9003009259259259, 0.18453703703703703, 0.02925925925925926, 0.19273148148148148, 1.2106481481481481, 1.3784722222222223, 0.8388888888888889, 0.4197916666666667, 0.15520833333333334, 0.002777777777777778, 1.6799768518518519, 0.39166666666666666, 2.3297453703703703, 0.43159722222222224, 0.18180555555555555, 0.5845138888888889 ], "type_event": [ 3, 7, 3, 9, 4, 8, 6, 7, 10, 3, 6, 3, 6, 7, 0, 7, 7, 3, 7, 7, 4, 4, 6, 9, 8, 0, 7, 7, 9, 9, 8, 6 ], "type_text": [ "Deceptive Practice", "Battery", "Deceptive Practice", "Assault", "Motor Vehicle Theft", "Other Offense", "Criminal Damage", "Battery", "Burglary", "Deceptive Practice", "Criminal Damage", "Deceptive Practice", "Criminal Damage", "Battery", "Theft", "Battery", "Battery", "Deceptive Practice", "Battery", "Battery", "Motor Vehicle Theft", "Motor Vehicle Theft", "Criminal Damage", "Assault", "Other Offense", "Theft", "Battery", "Battery", "Assault", "Assault", "Other Offense", "Criminal Damage" ], "description": "The sequence of crime incidents shows a varied pattern over time, with Deceptive Practices occurring early in the timeline, followed by a mix of Battery, Assault, and Criminal Damage incidents clustering in the later months. Initially, incidents are relatively sparse, but there is a noticeable increase in frequency and diversity of crime types after the first few months. Motor Vehicle Theft appears later in the sequence, while Battery incidents become more frequent as time progresses, indicating a trend of escalating violence. Overall, the events demonstrate a gradual build-up in both the number and types of crimes reported as the months advance." }, { "dim_process": 20, "seq_idx": 157, "seq_len": 39, "time_since_start": [ 0.0, 0.5762731481481481, 0.683125, 1.4060185185185186, 1.802314814814815, 2.9641203703703702, 4.006828703703704, 4.927314814814815, 6.930092592592593, 7.200115740740741, 7.608333333333333, 8.314884259259259, 8.612615740740742, 9.97974537037037, 11.138032407407408, 11.376388888888888, 11.378703703703703, 12.146064814814816, 12.147430555555555, 12.839814814814815, 13.448888888888888, 13.87835648148148, 15.398842592592592, 16.502662037037037, 16.550324074074073, 17.066203703703703, 17.60162037037037, 19.881481481481483, 19.94039351851852, 20.03726851851852, 20.417337962962964, 20.874837962962964, 21.83425925925926, 22.351990740740742, 22.618541666666665, 22.77037037037037, 22.97013888888889, 23.802685185185187, 24.080092592592592 ], "time_since_last_event": [ 0.0, 0.5762731481481481, 0.10685185185185185, 0.7228935185185185, 0.3962962962962963, 1.1618055555555555, 1.0427083333333333, 0.9204861111111111, 2.0027777777777778, 0.27002314814814815, 0.4082175925925926, 0.7065509259259259, 0.2977314814814815, 1.3671296296296296, 1.158287037037037, 0.23835648148148147, 0.0023148148148148147, 0.7673611111111112, 0.0013657407407407407, 0.6923842592592593, 0.6090740740740741, 0.4294675925925926, 1.5204861111111112, 1.1038194444444445, 0.04766203703703704, 0.5158796296296296, 0.5354166666666667, 2.279861111111111, 0.058912037037037034, 0.096875, 0.38006944444444446, 0.4575, 0.9594212962962962, 0.5177314814814815, 0.26655092592592594, 0.15182870370370372, 0.1997685185185185, 0.8325462962962963, 0.2774074074074074 ], "type_event": [ 8, 16, 1, 9, 3, 7, 6, 7, 0, 7, 0, 7, 7, 7, 8, 7, 4, 0, 1, 7, 7, 7, 0, 4, 8, 4, 16, 0, 0, 9, 1, 16, 0, 9, 8, 3, 0, 9, 6 ], "type_text": [ "Other Offense", "Narcotics", "Weapons Violation", "Assault", "Deceptive Practice", "Battery", "Criminal Damage", "Battery", "Theft", "Battery", "Theft", "Battery", "Battery", "Battery", "Other Offense", "Battery", "Motor Vehicle Theft", "Theft", "Weapons Violation", "Battery", "Battery", "Battery", "Theft", "Motor Vehicle Theft", "Other Offense", "Motor Vehicle Theft", "Narcotics", "Theft", "Theft", "Assault", "Weapons Violation", "Narcotics", "Theft", "Assault", "Other Offense", "Deceptive Practice", "Theft", "Assault", "Criminal Damage" ], "description": "The sequence of crime incidents shows a pattern where various types of offenses are reported over time, with certain crime types appearing more frequently in clusters. Early incidents include other offenses and narcotics violations, followed by a rise in assaults and battery incidents in the first year. As time progresses, theft becomes a more prominent crime type, particularly in the latter months, alongside recurring incidents of battery and motor vehicle theft. Overall, there is a noticeable increase in the frequency of theft-related offenses and a consistent presence of battery incidents throughout the timeline." }, { "dim_process": 20, "seq_idx": 158, "seq_len": 43, "time_since_start": [ 0.0, 1.0663194444444444, 1.684837962962963, 1.851412037037037, 2.175925925925926, 2.8444444444444446, 4.132268518518519, 4.500162037037037, 4.551203703703703, 5.884722222222222, 5.970833333333333, 6.143055555555556, 6.461574074074074, 6.881944444444445, 6.939976851851852, 7.32037037037037, 7.346157407407407, 7.618055555555555, 7.941087962962963, 8.07638888888889, 8.45486111111111, 8.551412037037037, 8.616666666666667, 9.509722222222223, 9.530555555555555, 9.544444444444444, 9.714930555555556, 10.218055555555555, 10.408333333333333, 10.581944444444444, 10.6875, 10.820833333333333, 10.890185185185185, 11.251388888888888, 11.502777777777778, 11.57986111111111, 11.823703703703703, 12.0375, 12.743055555555555, 12.74375, 14.016226851851853, 14.034375, 14.44513888888889 ], "time_since_last_event": [ 0.0, 1.0663194444444444, 0.6185185185185185, 0.16657407407407407, 0.3245138888888889, 0.6685185185185185, 1.287824074074074, 0.36789351851851854, 0.051041666666666666, 1.3335185185185185, 0.08611111111111111, 0.17222222222222222, 0.31851851851851853, 0.4203703703703704, 0.05803240740740741, 0.3803935185185185, 0.025787037037037035, 0.27189814814814817, 0.3230324074074074, 0.13530092592592594, 0.3784722222222222, 0.09655092592592593, 0.06525462962962963, 0.8930555555555556, 0.020833333333333332, 0.013888888888888888, 0.17048611111111112, 0.503125, 0.19027777777777777, 0.1736111111111111, 0.10555555555555556, 0.13333333333333333, 0.06935185185185185, 0.3612037037037037, 0.2513888888888889, 0.07708333333333334, 0.24384259259259258, 0.2137962962962963, 0.7055555555555556, 0.0006944444444444445, 1.2724768518518519, 0.01814814814814815, 0.4107638888888889 ], "type_event": [ 3, 7, 0, 3, 1, 4, 7, 7, 7, 3, 7, 13, 0, 6, 6, 7, 9, 9, 9, 4, 5, 0, 4, 0, 4, 0, 4, 4, 4, 7, 0, 6, 6, 0, 4, 18, 0, 0, 6, 6, 9, 8, 7 ], "type_text": [ "Deceptive Practice", "Battery", "Theft", "Deceptive Practice", "Weapons Violation", "Motor Vehicle Theft", "Battery", "Battery", "Battery", "Deceptive Practice", "Battery", "Offense Involving Children", "Theft", "Criminal Damage", "Criminal Damage", "Battery", "Assault", "Assault", "Assault", "Motor Vehicle Theft", "Criminal Trespass", "Theft", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Battery", "Theft", "Criminal Damage", "Criminal Damage", "Theft", "Motor Vehicle Theft", "Public Peace Violation", "Theft", "Theft", "Criminal Damage", "Criminal Damage", "Assault", "Other Offense", "Battery" ], "description": "The sequence of crime incidents shows a progression of various crime types over time, with certain patterns emerging. Initially, deceptive practices and battery incidents occur within the first few months, followed by a mix of theft and motor vehicle theft incidents that begin to cluster around the 8 to 11-month mark. As the timeline progresses, there is a noticeable increase in battery and assault incidents occurring in the latter months, while theft and motor vehicle theft incidents dominate the middle of the timeline. Criminal damage incidents also appear in clusters towards the end of the sequence, indicating a trend of increasing crime frequency over time." }, { "dim_process": 20, "seq_idx": 159, "seq_len": 53, "time_since_start": [ 0.0, 0.6284722222222222, 0.6333333333333333, 0.6962962962962963, 0.9576388888888889, 1.9284722222222221, 2.3270833333333334, 2.3944444444444444, 2.5219675925925924, 2.959490740740741, 3.032824074074074, 3.647222222222222, 4.070486111111111, 4.617152777777778, 4.723495370370371, 5.085763888888889, 6.241666666666666, 7.064583333333333, 7.881944444444445, 8.085717592592593, 8.51923611111111, 8.925694444444444, 10.866666666666667, 11.1, 11.227777777777778, 12.165138888888889, 12.389814814814814, 12.756203703703704, 13.066689814814815, 13.765625, 13.796527777777778, 14.822939814814815, 14.926736111111111, 14.92675925925926, 16.084722222222222, 16.55662037037037, 17.09865740740741, 17.363680555555554, 17.750833333333333, 18.148680555555554, 18.534675925925924, 18.966666666666665, 19.27914351851852, 19.78611111111111, 20.222569444444446, 20.33534722222222, 20.719444444444445, 20.8875, 21.49328703703704, 21.952083333333334, 23.392083333333332, 23.86925925925926, 24.255555555555556 ], "time_since_last_event": [ 0.0, 0.6284722222222222, 0.004861111111111111, 0.06296296296296296, 0.26134259259259257, 0.9708333333333333, 0.39861111111111114, 0.06736111111111111, 0.12752314814814814, 0.43752314814814813, 0.07333333333333333, 0.6143981481481482, 0.4232638888888889, 0.5466666666666666, 0.10634259259259259, 0.36226851851851855, 1.1559027777777777, 0.8229166666666666, 0.8173611111111111, 0.20377314814814815, 0.4335185185185185, 0.4064583333333333, 1.9409722222222223, 0.23333333333333334, 0.12777777777777777, 0.9373611111111111, 0.22467592592592592, 0.3663888888888889, 0.31048611111111113, 0.6989351851851852, 0.03090277777777778, 1.026412037037037, 0.1037962962962963, 2.3148148148148147e-05, 1.1579629629629629, 0.4718981481481481, 0.542037037037037, 0.26502314814814815, 0.3871527777777778, 0.39784722222222224, 0.38599537037037035, 0.43199074074074073, 0.31247685185185187, 0.5069675925925926, 0.43645833333333334, 0.11277777777777778, 0.3840972222222222, 0.16805555555555557, 0.6057870370370371, 0.4587962962962963, 1.44, 0.47717592592592595, 0.3862962962962963 ], "type_event": [ 3, 0, 0, 4, 7, 7, 3, 11, 7, 7, 4, 6, 0, 0, 11, 7, 9, 9, 6, 0, 6, 0, 3, 7, 0, 2, 0, 9, 3, 4, 4, 4, 7, 7, 11, 19, 7, 7, 7, 0, 11, 3, 3, 4, 3, 13, 8, 0, 0, 5, 10, 11, 0 ], "type_text": [ "Deceptive Practice", "Theft", "Theft", "Motor Vehicle Theft", "Battery", "Battery", "Deceptive Practice", "Robbery", "Battery", "Battery", "Motor Vehicle Theft", "Criminal Damage", "Theft", "Theft", "Robbery", "Battery", "Assault", "Assault", "Criminal Damage", "Theft", "Criminal Damage", "Theft", "Deceptive Practice", "Battery", "Theft", "Sex Offense", "Theft", "Assault", "Deceptive Practice", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Battery", "Battery", "Robbery", "Homicide", "Battery", "Battery", "Battery", "Theft", "Robbery", "Deceptive Practice", "Deceptive Practice", "Motor Vehicle Theft", "Deceptive Practice", "Offense Involving Children", "Other Offense", "Theft", "Theft", "Criminal Trespass", "Burglary", "Robbery", "Theft" ], "description": "The sequence of crime incidents shows a variety of crime types occurring over time, with certain patterns emerging. Initially, incidents of Deceptive Practice and Theft are reported, followed by a rise in Battery and Motor Vehicle Theft incidents in the early months. As time progresses, there is a noticeable increase in Robbery and Criminal Damage incidents, particularly around the mid-point of the timeline. Towards the later months, the frequency of Theft remains high, while other crime types like Homicide and Burglary appear as more isolated incidents. Overall, the data indicates clustering of certain crime types at various points, with Theft and Battery being prominent throughout the sequence." }, { "dim_process": 20, "seq_idx": 160, "seq_len": 60, "time_since_start": [ 0.0, 0.1412962962962963, 0.17844907407407407, 0.20032407407407407, 0.20032407407407407, 0.2539351851851852, 0.7187268518518518, 0.8617824074074074, 1.9090046296296297, 2.553912037037037, 2.6678703703703706, 3.746111111111111, 3.776111111111111, 3.8434953703703703, 4.297893518518518, 4.534467592592593, 4.595208333333333, 4.627129629629629, 4.641643518518518, 5.127060185185186, 5.368726851851852, 6.0470138888888885, 6.085671296296296, 6.091550925925926, 6.665486111111111, 7.185740740740741, 7.331226851851852, 7.664560185185185, 7.6874768518518515, 8.924282407407407, 8.930532407407407, 9.654143518518518, 9.82048611111111, 9.837476851851852, 10.240972222222222, 10.40900462962963, 10.597893518518518, 10.657615740740741, 10.823587962962963, 11.788773148148149, 11.89511574074074, 12.443726851851851, 12.686782407407408, 12.808310185185185, 13.09951388888889, 13.692337962962963, 15.624282407407408, 16.120462962962964, 16.201875, 17.02162037037037, 18.210555555555555, 18.317337962962963, 18.768726851851852, 18.85900462962963, 19.169421296296296, 19.99789351851852, 20.065949074074073, 22.78851851851852, 23.02983796296296, 23.642337962962962 ], "time_since_last_event": [ 0.0, 0.1412962962962963, 0.03715277777777778, 0.021875, 0.0, 0.05361111111111111, 0.46479166666666666, 0.14305555555555555, 1.0472222222222223, 0.6449074074074074, 0.11395833333333333, 1.0782407407407408, 0.03, 0.06738425925925925, 0.45439814814814816, 0.23657407407407408, 0.06074074074074074, 0.031921296296296295, 0.014513888888888889, 0.48541666666666666, 0.24166666666666667, 0.6782870370370371, 0.038657407407407404, 0.00587962962962963, 0.5739351851851852, 0.5202546296296297, 0.14548611111111112, 0.3333333333333333, 0.022916666666666665, 1.2368055555555555, 0.00625, 0.7236111111111111, 0.1663425925925926, 0.01699074074074074, 0.40349537037037037, 0.1680324074074074, 0.18888888888888888, 0.059722222222222225, 0.16597222222222222, 0.9651851851851851, 0.10634259259259259, 0.5486111111111112, 0.24305555555555555, 0.12152777777777778, 0.2912037037037037, 0.5928240740740741, 1.9319444444444445, 0.49618055555555557, 0.08141203703703703, 0.8197453703703703, 1.1889351851851853, 0.10678240740740741, 0.4513888888888889, 0.09027777777777778, 0.3104166666666667, 0.8284722222222223, 0.06805555555555555, 2.7225694444444444, 0.24131944444444445, 0.6125 ], "type_event": [ 7, 7, 7, 0, 9, 9, 9, 0, 7, 7, 6, 7, 7, 6, 9, 0, 6, 10, 0, 9, 16, 7, 7, 7, 7, 10, 0, 10, 10, 7, 9, 7, 7, 6, 4, 0, 0, 10, 7, 6, 4, 6, 7, 6, 6, 0, 9, 9, 8, 7, 7, 4, 9, 7, 10, 0, 4, 1, 4, 7 ], "type_text": [ "Battery", "Battery", "Battery", "Theft", "Assault", "Assault", "Assault", "Theft", "Battery", "Battery", "Criminal Damage", "Battery", "Battery", "Criminal Damage", "Assault", "Theft", "Criminal Damage", "Burglary", "Theft", "Assault", "Narcotics", "Battery", "Battery", "Battery", "Battery", "Burglary", "Theft", "Burglary", "Burglary", "Battery", "Assault", "Battery", "Battery", "Criminal Damage", "Motor Vehicle Theft", "Theft", "Theft", "Burglary", "Battery", "Criminal Damage", "Motor Vehicle Theft", "Criminal Damage", "Battery", "Criminal Damage", "Criminal Damage", "Theft", "Assault", "Assault", "Other Offense", "Battery", "Battery", "Motor Vehicle Theft", "Assault", "Battery", "Burglary", "Theft", "Motor Vehicle Theft", "Weapons Violation", "Motor Vehicle Theft", "Battery" ], "description": "The sequence of crime incidents in the block shows a pattern where battery incidents occur frequently in the early months, with several clustered occurrences within the first two years. Assault and theft incidents also appear early on but tend to increase in frequency and variety as time progresses. Criminal damage and burglary incidents emerge more prominently in the later months, with a noticeable rise in motor vehicle thefts towards the end of the timeline. Overall, there is a trend of increasing diversity in crime types as the sequence unfolds, with certain types like battery and assault appearing more initially, while others like burglary and motor vehicle theft become more prevalent in the latter stages." }, { "dim_process": 20, "seq_idx": 161, "seq_len": 33, "time_since_start": [ 0.0, 0.0009490740740740741, 0.714837962962963, 2.4566898148148146, 2.4926157407407405, 3.369699074074074, 4.404652777777778, 4.514861111111111, 4.760671296296296, 7.047129629629629, 7.965416666666667, 8.657199074074073, 9.015625, 10.447476851851851, 11.82837962962963, 12.495162037037037, 12.603726851851851, 12.674444444444445, 13.11212962962963, 13.721967592592593, 14.175949074074074, 14.333587962962962, 14.809421296296296, 15.315601851851852, 16.02025462962963, 17.450949074074074, 17.917361111111113, 18.513726851851853, 19.739837962962962, 20.698171296296298, 22.006504629629628, 22.10712962962963, 22.96761574074074 ], "time_since_last_event": [ 0.0, 0.0009490740740740741, 0.7138888888888889, 1.7418518518518518, 0.035925925925925924, 0.8770833333333333, 1.0349537037037038, 0.11020833333333334, 0.2458101851851852, 2.2864583333333335, 0.9182870370370371, 0.6917824074074074, 0.3584259259259259, 1.431851851851852, 1.3809027777777778, 0.6667824074074075, 0.10856481481481481, 0.0707175925925926, 0.4376851851851852, 0.609837962962963, 0.4539814814814815, 0.15763888888888888, 0.47583333333333333, 0.5061805555555555, 0.7046527777777778, 1.4306944444444445, 0.46641203703703704, 0.5963657407407408, 1.2261111111111112, 0.9583333333333334, 1.3083333333333333, 0.100625, 0.8604861111111111 ], "type_event": [ 0, 7, 3, 16, 8, 0, 9, 1, 0, 7, 9, 9, 0, 4, 4, 18, 0, 7, 1, 12, 8, 0, 1, 7, 7, 6, 4, 4, 6, 0, 0, 7, 0 ], "type_text": [ "Theft", "Battery", "Deceptive Practice", "Narcotics", "Other Offense", "Theft", "Assault", "Weapons Violation", "Theft", "Battery", "Assault", "Assault", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Public Peace Violation", "Theft", "Battery", "Weapons Violation", "Arson", "Other Offense", "Theft", "Weapons Violation", "Battery", "Battery", "Criminal Damage", "Motor Vehicle Theft", "Motor Vehicle Theft", "Criminal Damage", "Theft", "Theft", "Battery", "Theft" ], "description": "The sequence of crime incidents shows a variety of offenses occurring over time, with certain types of crimes appearing more frequently at specific intervals. Initially, theft and battery incidents are reported, followed by a mix of offenses including deceptive practices and narcotics. As time progresses, there is a noticeable clustering of theft incidents, particularly around the 12 to 22-month mark, alongside a consistent presence of battery and motor vehicle theft incidents. Additionally, weapons violations and assaults appear intermittently throughout the sequence, indicating a diverse range of criminal activity over the observed period." }, { "dim_process": 20, "seq_idx": 162, "seq_len": 32, "time_since_start": [ 0.0, 2.297222222222222, 2.3623148148148148, 4.101388888888889, 4.625, 5.379398148148148, 5.419212962962963, 6.759143518518519, 6.802777777777778, 6.9223842592592595, 7.948333333333333, 7.969444444444444, 8.013194444444444, 12.092060185185185, 12.144444444444444, 12.341666666666667, 12.48925925925926, 12.684722222222222, 13.578541666666666, 14.014120370370371, 15.025, 15.29861111111111, 15.367291666666667, 15.485416666666667, 15.807986111111111, 16.343055555555555, 17.29546296296296, 17.805555555555557, 19.37638888888889, 20.740277777777777, 20.899305555555557, 21.715740740740742 ], "time_since_last_event": [ 0.0, 2.297222222222222, 0.06509259259259259, 1.739074074074074, 0.5236111111111111, 0.7543981481481481, 0.03981481481481482, 1.3399305555555556, 0.04363425925925926, 0.11960648148148148, 1.025949074074074, 0.021111111111111112, 0.04375, 4.078865740740741, 0.05238425925925926, 0.19722222222222222, 0.14759259259259258, 0.19546296296296295, 0.8938194444444445, 0.4355787037037037, 1.0108796296296296, 0.27361111111111114, 0.06868055555555555, 0.118125, 0.32256944444444446, 0.5350694444444445, 0.9524074074074074, 0.5100925925925925, 1.5708333333333333, 1.363888888888889, 0.15902777777777777, 0.8164351851851852 ], "type_event": [ 7, 7, 1, 9, 3, 0, 6, 4, 4, 4, 7, 0, 6, 16, 0, 4, 6, 7, 6, 7, 8, 8, 8, 7, 5, 4, 7, 3, 4, 11, 0, 5 ], "type_text": [ "Battery", "Battery", "Weapons Violation", "Assault", "Deceptive Practice", "Theft", "Criminal Damage", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Battery", "Theft", "Criminal Damage", "Narcotics", "Theft", "Motor Vehicle Theft", "Criminal Damage", "Battery", "Criminal Damage", "Battery", "Other Offense", "Other Offense", "Other Offense", "Battery", "Criminal Trespass", "Motor Vehicle Theft", "Battery", "Deceptive Practice", "Motor Vehicle Theft", "Robbery", "Theft", "Criminal Trespass" ], "description": "The sequence of crime incidents shows a progression of events over time, with certain types of crimes occurring in clusters. Initially, battery incidents are reported, followed by a mix of violent and property crimes such as weapons violations and thefts. As time progresses, there is a notable increase in motor vehicle thefts, particularly around the 6 to 19-month mark, while battery incidents continue to appear intermittently. Toward the end of the sequence, there is a rise in other offenses and criminal trespass incidents, indicating a shift in the types of crimes reported. Overall, the timeline reflects a pattern of escalating crime types with certain clusters of similar offenses occurring at various intervals." }, { "dim_process": 20, "seq_idx": 163, "seq_len": 62, "time_since_start": [ 0.0, 0.12638888888888888, 1.4939351851851852, 3.6018518518518516, 3.86875, 3.9402314814814816, 4.139583333333333, 4.9006944444444445, 6.4072453703703705, 6.677083333333333, 8.540046296296296, 8.54861111111111, 10.543055555555556, 10.543055555555556, 11.151388888888889, 11.344444444444445, 11.66875, 11.777199074074074, 13.109027777777778, 13.144675925925926, 13.408333333333333, 14.471527777777778, 15.846527777777778, 16.04375, 16.205555555555556, 16.210416666666667, 16.239583333333332, 16.413888888888888, 16.47400462962963, 16.67615740740741, 16.706944444444446, 16.70798611111111, 16.741666666666667, 16.87361111111111, 16.877777777777776, 16.975, 17.072916666666668, 17.075, 17.21388888888889, 17.240277777777777, 17.404166666666665, 17.40798611111111, 17.413888888888888, 17.441666666666666, 17.44375, 17.44763888888889, 17.581944444444446, 17.605555555555554, 17.709722222222222, 17.780555555555555, 17.875, 17.908333333333335, 17.969444444444445, 17.972685185185185, 17.97337962962963, 17.974305555555556, 18.141666666666666, 18.179861111111112, 18.368402777777778, 18.37847222222222, 18.40474537037037, 18.40972222222222 ], "time_since_last_event": [ 0.0, 0.12638888888888888, 1.3675462962962963, 2.1079166666666667, 0.26689814814814816, 0.07148148148148148, 0.19935185185185186, 0.7611111111111111, 1.506550925925926, 0.269837962962963, 1.862962962962963, 0.008564814814814815, 1.9944444444444445, 0.0, 0.6083333333333333, 0.19305555555555556, 0.32430555555555557, 0.10844907407407407, 1.3318287037037038, 0.03564814814814815, 0.2636574074074074, 1.0631944444444446, 1.375, 0.19722222222222222, 0.16180555555555556, 0.004861111111111111, 0.029166666666666667, 0.17430555555555555, 0.06011574074074074, 0.20215277777777776, 0.030787037037037036, 0.0010416666666666667, 0.033680555555555554, 0.13194444444444445, 0.004166666666666667, 0.09722222222222222, 0.09791666666666667, 0.0020833333333333333, 0.1388888888888889, 0.02638888888888889, 0.1638888888888889, 0.0038194444444444443, 0.005902777777777778, 0.027777777777777776, 0.0020833333333333333, 0.0038888888888888888, 0.13430555555555557, 0.02361111111111111, 0.10416666666666667, 0.07083333333333333, 0.09444444444444444, 0.03333333333333333, 0.06111111111111111, 0.0032407407407407406, 0.0006944444444444445, 0.000925925925925926, 0.1673611111111111, 0.03819444444444445, 0.18854166666666666, 0.010069444444444445, 0.02627314814814815, 0.004976851851851852 ], "type_event": [ 0, 0, 11, 0, 8, 0, 6, 11, 3, 0, 0, 6, 4, 0, 10, 0, 7, 0, 0, 0, 4, 0, 6, 6, 0, 6, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 6, 0, 6, 6, 6, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 3, 0, 0, 0 ], "type_text": [ "Theft", "Theft", "Robbery", "Theft", "Other Offense", "Theft", "Criminal Damage", "Robbery", "Deceptive Practice", "Theft", "Theft", "Criminal Damage", "Motor Vehicle Theft", "Theft", "Burglary", "Theft", "Battery", "Theft", "Theft", "Theft", "Motor Vehicle Theft", "Theft", "Criminal Damage", "Criminal Damage", "Theft", "Criminal Damage", "Theft", "Theft", "Theft", "Theft", "Theft", "Criminal Damage", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Criminal Damage", "Theft", "Criminal Damage", "Theft", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Criminal Damage", "Theft", "Deceptive Practice", "Theft", "Theft", "Theft" ], "description": "The sequence of crime incidents shows a notable concentration of thefts, particularly in the later months, with multiple thefts occurring in close succession. Initially, thefts are followed by a variety of other crime types, including robbery and criminal damage, but as time progresses, theft becomes the predominant crime type. Criminal damage incidents also cluster in the latter part of the sequence, often occurring alongside thefts. Overall, the data reflects a trend of increasing theft incidents over time, with other crime types appearing less frequently as the sequence unfolds." }, { "dim_process": 20, "seq_idx": 164, "seq_len": 39, "time_since_start": [ 0.0, 1.438287037037037, 1.5256944444444445, 1.9128472222222221, 5.087268518518519, 5.356273148148148, 5.74212962962963, 6.072453703703704, 6.540625, 6.575694444444444, 7.21261574074074, 7.2681712962962965, 7.4840277777777775, 7.6506944444444445, 8.015277777777778, 8.70625, 11.428935185185185, 12.13125, 12.568194444444444, 12.88125, 13.28125, 16.196527777777778, 16.596527777777776, 16.688194444444445, 16.866226851851852, 17.605555555555554, 17.642939814814813, 18.112152777777776, 18.200694444444444, 18.308101851851852, 18.497569444444444, 18.591550925925926, 19.37351851851852, 20.29722222222222, 21.30752314814815, 21.3125, 22.067083333333333, 23.10224537037037, 23.32986111111111 ], "time_since_last_event": [ 0.0, 1.438287037037037, 0.0874074074074074, 0.3871527777777778, 3.174421296296296, 0.2690046296296296, 0.3858564814814815, 0.33032407407407405, 0.4681712962962963, 0.035069444444444445, 0.6369212962962963, 0.05555555555555555, 0.21585648148148148, 0.16666666666666666, 0.3645833333333333, 0.6909722222222222, 2.722685185185185, 0.7023148148148148, 0.43694444444444447, 0.31305555555555553, 0.4, 2.915277777777778, 0.4, 0.09166666666666666, 0.17803240740740742, 0.7393287037037037, 0.037384259259259256, 0.46921296296296294, 0.08854166666666667, 0.10740740740740741, 0.1894675925925926, 0.09398148148148149, 0.7819675925925926, 0.9237037037037037, 1.010300925925926, 0.004976851851851852, 0.7545833333333334, 1.0351620370370371, 0.22761574074074073 ], "type_event": [ 9, 8, 7, 8, 11, 9, 8, 4, 4, 7, 9, 6, 4, 6, 7, 7, 7, 7, 11, 0, 0, 11, 8, 8, 6, 9, 6, 11, 10, 11, 0, 5, 6, 0, 7, 7, 9, 0, 0 ], "type_text": [ "Assault", "Other Offense", "Battery", "Other Offense", "Robbery", "Assault", "Other Offense", "Motor Vehicle Theft", "Motor Vehicle Theft", "Battery", "Assault", "Criminal Damage", "Motor Vehicle Theft", "Criminal Damage", "Battery", "Battery", "Battery", "Battery", "Robbery", "Theft", "Theft", "Robbery", "Other Offense", "Other Offense", "Criminal Damage", "Assault", "Criminal Damage", "Robbery", "Burglary", "Robbery", "Theft", "Criminal Trespass", "Criminal Damage", "Theft", "Battery", "Battery", "Assault", "Theft", "Theft" ], "description": "The sequence of crime incidents shows an initial cluster of assaults and other offenses occurring within the first two months, followed by a rise in battery incidents. As time progresses, there is a noticeable increase in motor vehicle thefts and robberies around the six to twelve-month mark, with these events occurring more frequently in that period. Towards the later months, thefts and criminal damage incidents become more prevalent, with a consistent presence of battery and assault incidents throughout the timeline. The sequence indicates that while certain crime types appear in clusters, others are more evenly distributed over time." }, { "dim_process": 20, "seq_idx": 165, "seq_len": 35, "time_since_start": [ 0.0, 0.1100462962962963, 3.941527777777778, 5.061898148148148, 5.6628240740740745, 7.165717592592593, 7.37949074074074, 7.962824074074074, 8.173240740740741, 8.19337962962963, 8.383657407407407, 9.740601851851851, 9.870694444444444, 10.031597222222222, 11.346851851851852, 12.046157407407408, 12.11736111111111, 12.197430555555556, 12.425138888888888, 12.701064814814815, 13.864513888888888, 14.447314814814815, 14.924143518518518, 15.026712962962963, 15.426319444444445, 17.60261574074074, 18.627407407407407, 18.894513888888888, 19.59490740740741, 20.787685185185186, 20.99564814814815, 21.535046296296297, 22.005416666666665, 23.197754629629628, 23.56275462962963 ], "time_since_last_event": [ 0.0, 0.1100462962962963, 3.8314814814814815, 1.1203703703703705, 0.600925925925926, 1.5028935185185186, 0.21377314814814816, 0.5833333333333334, 0.21041666666666667, 0.02013888888888889, 0.19027777777777777, 1.3569444444444445, 0.1300925925925926, 0.16090277777777778, 1.3152546296296297, 0.6993055555555555, 0.0712037037037037, 0.08006944444444444, 0.22770833333333335, 0.2759259259259259, 1.1634490740740742, 0.5828009259259259, 0.4768287037037037, 0.10256944444444445, 0.3996064814814815, 2.176296296296296, 1.0247916666666668, 0.2671064814814815, 0.7003935185185185, 1.1927777777777777, 0.20796296296296296, 0.5393981481481481, 0.4703703703703704, 1.192337962962963, 0.365 ], "type_event": [ 1, 7, 7, 9, 8, 6, 0, 0, 0, 10, 7, 6, 6, 7, 0, 0, 0, 6, 8, 7, 1, 0, 7, 11, 19, 9, 6, 1, 9, 7, 7, 4, 11, 7, 6 ], "type_text": [ "Weapons Violation", "Battery", "Battery", "Assault", "Other Offense", "Criminal Damage", "Theft", "Theft", "Theft", "Burglary", "Battery", "Criminal Damage", "Criminal Damage", "Battery", "Theft", "Theft", "Theft", "Criminal Damage", "Other Offense", "Battery", "Weapons Violation", "Theft", "Battery", "Robbery", "Homicide", "Assault", "Criminal Damage", "Weapons Violation", "Assault", "Battery", "Battery", "Motor Vehicle Theft", "Robbery", "Battery", "Criminal Damage" ], "description": "The sequence of crime incidents begins with a weapons violation and a battery occurring in the initial months, followed by a mix of battery, assault, and other offenses within the first year. As time progresses, thefts and criminal damage incidents become more frequent, particularly clustering around the 8 to 12-month mark. The latter part of the timeline sees a resurgence of violent crimes, including multiple batteries, robberies, and a homicide, with weapons violations also appearing again. Overall, there is a noticeable increase in the variety and frequency of incidents as time advances, with certain crime types like theft and criminal damage showing peaks in specific periods." }, { "dim_process": 20, "seq_idx": 166, "seq_len": 36, "time_since_start": [ 0.0, 0.038842592592592595, 0.9339583333333333, 1.209814814814815, 2.939537037037037, 3.6632175925925927, 3.7763425925925924, 3.787800925925926, 4.1214814814814815, 5.263148148148148, 5.2666203703703705, 5.33150462962963, 6.768703703703704, 7.040949074074074, 7.107592592592592, 7.800648148148148, 8.116851851851852, 8.17287037037037, 8.565925925925926, 10.10412037037037, 10.390925925925925, 11.193703703703704, 11.553425925925925, 13.190601851851852, 13.794652777777777, 14.60361111111111, 15.184675925925927, 15.281550925925925, 15.324953703703704, 16.11175925925926, 16.433287037037037, 16.784212962962965, 17.69509259259259, 19.436759259259258, 20.27428240740741, 20.945046296296297 ], "time_since_last_event": [ 0.0, 0.038842592592592595, 0.8951157407407407, 0.2758564814814815, 1.7297222222222222, 0.7236805555555555, 0.113125, 0.011458333333333333, 0.33368055555555554, 1.1416666666666666, 0.003472222222222222, 0.06488425925925925, 1.437199074074074, 0.2722453703703704, 0.06664351851851852, 0.6930555555555555, 0.3162037037037037, 0.056018518518518516, 0.39305555555555555, 1.5381944444444444, 0.28680555555555554, 0.8027777777777778, 0.3597222222222222, 1.637175925925926, 0.6040509259259259, 0.8089583333333333, 0.5810648148148149, 0.096875, 0.043402777777777776, 0.7868055555555555, 0.3215277777777778, 0.3509259259259259, 0.9108796296296297, 1.7416666666666667, 0.8375231481481481, 0.6707638888888889 ], "type_event": [ 7, 4, 1, 6, 7, 6, 9, 6, 0, 0, 3, 0, 6, 8, 0, 4, 11, 0, 4, 4, 4, 14, 6, 5, 9, 1, 10, 6, 0, 0, 6, 6, 9, 6, 6, 9 ], "type_text": [ "Battery", "Motor Vehicle Theft", "Weapons Violation", "Criminal Damage", "Battery", "Criminal Damage", "Assault", "Criminal Damage", "Theft", "Theft", "Deceptive Practice", "Theft", "Criminal Damage", "Other Offense", "Theft", "Motor Vehicle Theft", "Robbery", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Criminal Sexual Assault", "Criminal Damage", "Criminal Trespass", "Assault", "Weapons Violation", "Burglary", "Criminal Damage", "Theft", "Theft", "Criminal Damage", "Criminal Damage", "Assault", "Criminal Damage", "Criminal Damage", "Assault" ], "description": "The sequence of crime incidents begins with a battery and a motor vehicle theft occurring within the first month. Over time, there is a notable clustering of criminal damage incidents, particularly between the third and fifth months, alongside various thefts. As the timeline progresses, motor vehicle thefts become more frequent, especially in the later months, while assaults and weapons violations appear intermittently throughout the sequence. The sequence concludes with a series of criminal damage events and assaults occurring towards the end of the timeline, indicating a sustained pattern of these offenses." }, { "dim_process": 20, "seq_idx": 167, "seq_len": 35, "time_since_start": [ 0.0, 1.9074537037037036, 2.3025925925925925, 2.8100694444444443, 2.9044444444444446, 3.4383564814814815, 4.098541666666667, 5.039745370370371, 5.041134259259259, 6.101550925925926, 7.04837962962963, 7.06900462962963, 7.169143518518519, 8.219606481481481, 9.882800925925926, 13.216597222222223, 13.54011574074074, 13.947060185185185, 14.104027777777778, 14.133587962962963, 14.433310185185185, 14.517407407407408, 14.879444444444445, 15.051550925925927, 15.064976851851851, 15.152708333333333, 16.08972222222222, 16.700925925925926, 17.69877314814815, 17.800856481481482, 18.18377314814815, 18.778194444444445, 20.10824074074074, 21.641828703703705, 21.795625 ], "time_since_last_event": [ 0.0, 1.9074537037037036, 0.3951388888888889, 0.5074768518518519, 0.094375, 0.533912037037037, 0.6601851851851852, 0.9412037037037037, 0.001388888888888889, 1.0604166666666666, 0.9468287037037038, 0.020625, 0.10013888888888889, 1.050462962962963, 1.6631944444444444, 3.3337962962962964, 0.32351851851851854, 0.40694444444444444, 0.1569675925925926, 0.029560185185185186, 0.2997222222222222, 0.08409722222222223, 0.36203703703703705, 0.17210648148148147, 0.013425925925925926, 0.08773148148148148, 0.9370138888888889, 0.6112037037037037, 0.9978472222222222, 0.10208333333333333, 0.3829166666666667, 0.5944212962962963, 1.3300462962962962, 1.533587962962963, 0.1537962962962963 ], "type_event": [ 3, 13, 6, 0, 0, 0, 0, 0, 0, 0, 9, 3, 0, 13, 4, 1, 11, 11, 8, 16, 9, 8, 8, 8, 8, 7, 7, 0, 8, 10, 11, 7, 7, 6, 8 ], "type_text": [ "Deceptive Practice", "Offense Involving Children", "Criminal Damage", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Assault", "Deceptive Practice", "Theft", "Offense Involving Children", "Motor Vehicle Theft", "Weapons Violation", "Robbery", "Robbery", "Other Offense", "Narcotics", "Assault", "Other Offense", "Other Offense", "Other Offense", "Other Offense", "Battery", "Battery", "Theft", "Other Offense", "Burglary", "Robbery", "Battery", "Battery", "Criminal Damage", "Other Offense" ], "description": "The sequence of crime incidents shows a progression over time, with a notable clustering of theft-related offenses occurring within the first six months. Following this initial surge, incidents involving assault and deceptive practices appear around the seven-month mark. As time progresses, a wider variety of offenses emerge, including robbery, motor vehicle theft, and various other offenses, particularly from the 13-month point onward. The latter part of the timeline sees a mix of battery, criminal damage, and other offenses, indicating a diversification of crime types as time advances." }, { "dim_process": 20, "seq_idx": 168, "seq_len": 51, "time_since_start": [ 0.0, 0.16518518518518518, 0.4014351851851852, 0.47891203703703705, 1.5242824074074075, 2.2645601851851853, 2.2652546296296294, 2.3889814814814816, 2.6666435185185184, 4.790949074074074, 5.179143518518519, 5.300671296296296, 5.302800925925926, 6.397083333333334, 6.628240740740741, 6.904375, 6.934699074074074, 7.1397916666666665, 7.36474537037037, 7.398587962962963, 7.603703703703704, 7.831388888888889, 7.863263888888889, 8.312476851851851, 8.628564814814816, 8.997407407407408, 9.032916666666667, 9.462476851851852, 9.724976851851851, 9.732708333333333, 9.732731481481482, 9.948587962962963, 10.159537037037037, 10.227060185185184, 11.365671296296297, 11.54962962962963, 11.960046296296296, 12.251365740740741, 12.254259259259259, 12.966643518518518, 13.89962962962963, 13.900439814814815, 14.89650462962963, 15.764467592592593, 15.89650462962963, 17.123055555555556, 17.280532407407406, 19.801574074074075, 20.93747685185185, 21.42914351851852, 22.025671296296295 ], "time_since_last_event": [ 0.0, 0.16518518518518518, 0.23625, 0.07747685185185185, 1.0453703703703703, 0.7402777777777778, 0.0006944444444444445, 0.12372685185185185, 0.277662037037037, 2.1243055555555554, 0.38819444444444445, 0.12152777777777778, 0.0021296296296296298, 1.0942824074074073, 0.2311574074074074, 0.2761342592592593, 0.030324074074074073, 0.2050925925925926, 0.2249537037037037, 0.03384259259259259, 0.20511574074074074, 0.22768518518518518, 0.031875, 0.449212962962963, 0.316087962962963, 0.3688425925925926, 0.03550925925925926, 0.4295601851851852, 0.2625, 0.0077314814814814815, 2.3148148148148147e-05, 0.21585648148148148, 0.21094907407407407, 0.06752314814814815, 1.138611111111111, 0.18395833333333333, 0.41041666666666665, 0.29131944444444446, 0.0028935185185185184, 0.7123842592592593, 0.9329861111111111, 0.0008101851851851852, 0.9960648148148148, 0.8679629629629629, 0.13203703703703704, 1.226550925925926, 0.15747685185185184, 2.5210416666666666, 1.1359027777777777, 0.49166666666666664, 0.5965277777777778 ], "type_event": [ 10, 6, 7, 7, 6, 6, 6, 1, 0, 6, 6, 5, 9, 1, 7, 6, 6, 1, 7, 6, 6, 1, 6, 6, 7, 9, 7, 15, 6, 1, 6, 0, 7, 7, 1, 1, 6, 7, 0, 3, 6, 7, 0, 1, 0, 0, 0, 9, 7, 4, 6 ], "type_text": [ "Burglary", "Criminal Damage", "Battery", "Battery", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Weapons Violation", "Theft", "Criminal Damage", "Criminal Damage", "Criminal Trespass", "Assault", "Weapons Violation", "Battery", "Criminal Damage", "Criminal Damage", "Weapons Violation", "Battery", "Criminal Damage", "Criminal Damage", "Weapons Violation", "Criminal Damage", "Criminal Damage", "Battery", "Assault", "Battery", "Interference With Public Officer", "Criminal Damage", "Weapons Violation", "Criminal Damage", "Theft", "Battery", "Battery", "Weapons Violation", "Weapons Violation", "Criminal Damage", "Battery", "Theft", "Deceptive Practice", "Criminal Damage", "Battery", "Theft", "Weapons Violation", "Theft", "Theft", "Theft", "Assault", "Battery", "Motor Vehicle Theft", "Criminal Damage" ], "description": "The sequence of crime incidents shows a diverse range of crime types occurring over time, with a notable clustering of criminal damage incidents, particularly in the earlier months. Battery incidents appear frequently throughout the timeline, with a slight increase in frequency in the later months. Weapons violations also emerge as a recurring event, particularly in the mid to late stages of the timeline. The theft incidents begin to appear more prominently in the later months, indicating a potential shift in the types of crimes reported as time progresses. Overall, the sequence reflects a pattern of varying crime types with certain types, like criminal damage and battery, occurring more consistently earlier, while theft becomes more prevalent towards the end." }, { "dim_process": 20, "seq_idx": 169, "seq_len": 35, "time_since_start": [ 0.0, 0.16006944444444443, 1.5420138888888888, 1.7047222222222222, 1.8197916666666667, 2.048958333333333, 2.207986111111111, 2.678101851851852, 3.0471064814814817, 3.402199074074074, 3.499791666666667, 4.495138888888889, 4.764768518518519, 4.810069444444444, 5.032476851851852, 5.301666666666667, 7.269490740740741, 9.040648148148149, 9.083680555555556, 9.090833333333334, 9.253472222222221, 10.089930555555556, 10.384375, 11.855902777777779, 12.015625, 13.238541666666666, 13.501157407407407, 13.75775462962963, 14.282708333333334, 15.339236111111111, 16.064699074074074, 17.59224537037037, 17.869791666666668, 20.939212962962962, 21.290625 ], "time_since_last_event": [ 0.0, 0.16006944444444443, 1.3819444444444444, 0.16270833333333334, 0.11506944444444445, 0.22916666666666666, 0.15902777777777777, 0.47011574074074075, 0.36900462962962965, 0.35509259259259257, 0.09759259259259259, 0.9953472222222223, 0.2696296296296296, 0.045300925925925925, 0.22240740740740741, 0.2691898148148148, 1.967824074074074, 1.7711574074074075, 0.04303240740740741, 0.007152777777777778, 0.1626388888888889, 0.8364583333333333, 0.29444444444444445, 1.4715277777777778, 0.1597222222222222, 1.2229166666666667, 0.26261574074074073, 0.2565972222222222, 0.5249537037037038, 1.0565277777777777, 0.725462962962963, 1.5275462962962962, 0.2775462962962963, 3.069421296296296, 0.35141203703703705 ], "type_event": [ 7, 0, 6, 10, 4, 3, 7, 6, 17, 8, 1, 6, 8, 8, 8, 8, 8, 11, 6, 7, 2, 6, 7, 3, 0, 6, 7, 7, 9, 9, 7, 11, 7, 11, 0 ], "type_text": [ "Battery", "Theft", "Criminal Damage", "Burglary", "Motor Vehicle Theft", "Deceptive Practice", "Battery", "Criminal Damage", "Stalking", "Other Offense", "Weapons Violation", "Criminal Damage", "Other Offense", "Other Offense", "Other Offense", "Other Offense", "Other Offense", "Robbery", "Criminal Damage", "Battery", "Sex Offense", "Criminal Damage", "Battery", "Deceptive Practice", "Theft", "Criminal Damage", "Battery", "Battery", "Assault", "Assault", "Battery", "Robbery", "Battery", "Robbery", "Theft" ], "description": "The sequence of crime incidents begins with battery and theft occurring within the first two months, followed by a mix of criminal damage, burglary, and motor vehicle theft in the subsequent months. A notable clustering of \"Other Offense\" incidents occurs around the four to six-month mark, while criminal damage incidents appear frequently throughout the timeline. As the sequence progresses, robbery incidents emerge later, particularly clustered around the 9 to 21-month period, alongside a consistent presence of battery offenses. Overall, the sequence shows an initial variety of crime types that gradually transitions into more specific offenses, particularly robbery and repeated battery incidents, as time advances." }, { "dim_process": 20, "seq_idx": 170, "seq_len": 32, "time_since_start": [ 0.0, 0.6876157407407407, 1.1251157407407408, 1.3734722222222222, 1.6806712962962962, 1.7118981481481481, 3.2199074074074074, 3.414699074074074, 3.8781944444444445, 4.795949074074074, 5.097615740740741, 5.2533564814814815, 5.495254629629629, 6.6216435185185185, 7.123032407407408, 8.93761574074074, 10.24699074074074, 10.643194444444445, 10.903472222222222, 11.102592592592593, 11.129976851851852, 11.989097222222222, 12.907916666666667, 13.464699074074074, 15.308541666666667, 15.854976851851852, 16.025810185185186, 16.600625, 17.103587962962962, 17.801041666666666, 18.059490740740742, 21.89472222222222 ], "time_since_last_event": [ 0.0, 0.6876157407407407, 0.4375, 0.24835648148148148, 0.3071990740740741, 0.031226851851851853, 1.5080092592592593, 0.19479166666666667, 0.46349537037037036, 0.9177546296296296, 0.3016666666666667, 0.15574074074074074, 0.24189814814814814, 1.1263888888888889, 0.5013888888888889, 1.8145833333333334, 1.309375, 0.3962037037037037, 0.2602777777777778, 0.19912037037037036, 0.02738425925925926, 0.8591203703703704, 0.9188194444444444, 0.5567824074074074, 1.8438425925925925, 0.5464351851851852, 0.17083333333333334, 0.5748148148148148, 0.502962962962963, 0.6974537037037037, 0.2584490740740741, 3.8352314814814816 ], "type_event": [ 9, 6, 8, 6, 0, 6, 0, 6, 7, 6, 7, 7, 10, 0, 9, 4, 7, 4, 6, 9, 10, 6, 7, 10, 9, 0, 0, 7, 0, 4, 7, 0 ], "type_text": [ "Assault", "Criminal Damage", "Other Offense", "Criminal Damage", "Theft", "Criminal Damage", "Theft", "Criminal Damage", "Battery", "Criminal Damage", "Battery", "Battery", "Burglary", "Theft", "Assault", "Motor Vehicle Theft", "Battery", "Motor Vehicle Theft", "Criminal Damage", "Assault", "Burglary", "Criminal Damage", "Battery", "Burglary", "Assault", "Theft", "Theft", "Battery", "Theft", "Motor Vehicle Theft", "Battery", "Theft" ], "description": "The sequence of crime incidents shows a variety of crime types occurring over time, with a notable clustering of criminal damage incidents in the early months. Assaults and batteries appear intermittently throughout the timeline, while theft incidents become more frequent as the sequence progresses, particularly in the later months. Motor vehicle thefts are reported towards the end of the timeline, indicating a potential increase in this type of crime. Overall, there is a pattern of increasing theft incidents as the sequence unfolds, alongside a consistent presence of criminal damage and battery events." }, { "dim_process": 20, "seq_idx": 171, "seq_len": 76, "time_since_start": [ 0.0, 0.26284722222222223, 1.089236111111111, 1.3100925925925926, 1.5315972222222223, 2.254861111111111, 2.4938657407407407, 2.8309027777777778, 2.8982638888888888, 2.9600694444444446, 3.9291666666666667, 3.939861111111111, 4.089236111111111, 4.675115740740741, 5.404444444444445, 5.507291666666666, 5.810069444444444, 5.962847222222222, 6.100787037037037, 6.272569444444445, 6.948726851851852, 6.992708333333334, 7.193402777777778, 7.263912037037037, 8.610069444444445, 8.692708333333334, 8.748148148148148, 9.260069444444444, 10.198958333333334, 10.310069444444444, 10.452430555555555, 10.997569444444444, 11.08611111111111, 11.140138888888888, 11.172569444444445, 11.547199074074074, 12.87673611111111, 14.093402777777778, 14.098611111111111, 14.12673611111111, 14.164444444444445, 14.403125, 14.711967592592593, 14.773449074074074, 15.783680555555556, 15.875, 15.905902777777778, 16.134027777777778, 16.965625, 17.31423611111111, 17.34201388888889, 17.396875, 17.598263888888887, 17.678125, 18.145949074074075, 18.328263888888888, 18.40590277777778, 18.91136574074074, 19.240972222222222, 19.494444444444444, 19.761458333333334, 19.832546296296297, 20.642060185185183, 20.86284722222222, 21.403703703703705, 21.723958333333332, 21.8325, 21.93925925925926, 21.953078703703703, 21.984444444444446, 22.103958333333335, 22.194097222222222, 22.727777777777778, 22.790625, 22.85972222222222, 23.450625 ], "time_since_last_event": [ 0.0, 0.26284722222222223, 0.8263888888888888, 0.2208564814814815, 0.22150462962962963, 0.7232638888888889, 0.23900462962962962, 0.337037037037037, 0.06736111111111111, 0.06180555555555556, 0.9690972222222223, 0.010694444444444444, 0.149375, 0.5858796296296296, 0.7293287037037037, 0.10284722222222223, 0.30277777777777776, 0.1527777777777778, 0.13793981481481482, 0.1717824074074074, 0.6761574074074074, 0.04398148148148148, 0.20069444444444445, 0.07050925925925926, 1.3461574074074074, 0.08263888888888889, 0.05543981481481482, 0.5119212962962963, 0.9388888888888889, 0.1111111111111111, 0.1423611111111111, 0.5451388888888888, 0.08854166666666667, 0.05402777777777778, 0.03243055555555555, 0.37462962962962965, 1.329537037037037, 1.2166666666666666, 0.005208333333333333, 0.028125, 0.03770833333333334, 0.23868055555555556, 0.3088425925925926, 0.061481481481481484, 1.0102314814814815, 0.09131944444444444, 0.03090277777777778, 0.228125, 0.8315972222222222, 0.3486111111111111, 0.027777777777777776, 0.05486111111111111, 0.2013888888888889, 0.0798611111111111, 0.46782407407407406, 0.18231481481481482, 0.07763888888888888, 0.505462962962963, 0.3296064814814815, 0.2534722222222222, 0.2670138888888889, 0.07108796296296296, 0.8095138888888889, 0.22078703703703703, 0.5408564814814815, 0.32025462962962964, 0.10854166666666666, 0.10675925925925926, 0.013819444444444445, 0.03136574074074074, 0.11951388888888889, 0.0901388888888889, 0.5336805555555556, 0.06284722222222222, 0.06909722222222223, 0.5909027777777778 ], "type_event": [ 7, 0, 0, 2, 16, 0, 13, 7, 4, 8, 7, 0, 9, 7, 1, 8, 3, 0, 7, 10, 0, 3, 3, 7, 9, 4, 6, 9, 8, 8, 0, 4, 0, 8, 9, 7, 8, 15, 9, 8, 7, 4, 9, 9, 5, 7, 8, 8, 0, 7, 7, 14, 7, 14, 6, 6, 7, 7, 9, 16, 0, 7, 9, 0, 7, 7, 9, 7, 7, 5, 7, 0, 0, 9, 5, 6 ], "type_text": [ "Battery", "Theft", "Theft", "Sex Offense", "Narcotics", "Theft", "Offense Involving Children", "Battery", "Motor Vehicle Theft", "Other Offense", "Battery", "Theft", "Assault", "Battery", "Weapons Violation", "Other Offense", "Deceptive Practice", "Theft", "Battery", "Burglary", "Theft", "Deceptive Practice", "Deceptive Practice", "Battery", "Assault", "Motor Vehicle Theft", "Criminal Damage", "Assault", "Other Offense", "Other Offense", "Theft", "Motor Vehicle Theft", "Theft", "Other Offense", "Assault", "Battery", "Other Offense", "Interference With Public Officer", "Assault", "Other Offense", "Battery", "Motor Vehicle Theft", "Assault", "Assault", "Criminal Trespass", "Battery", "Other Offense", "Other Offense", "Theft", "Battery", "Battery", "Criminal Sexual Assault", "Battery", "Criminal Sexual Assault", "Criminal Damage", "Criminal Damage", "Battery", "Battery", "Assault", "Narcotics", "Theft", "Battery", "Assault", "Theft", "Battery", "Battery", "Assault", "Battery", "Battery", "Criminal Trespass", "Battery", "Theft", "Theft", "Assault", "Criminal Trespass", "Criminal Damage" ], "description": "The sequence of crime incidents shows a variety of crime types occurring over time, with notable clustering of specific offenses. Initially, theft and battery incidents are prevalent in the early months, followed by a mix of offenses including sexual offenses and narcotics. As time progresses, there is a noticeable increase in the frequency of battery and assault incidents, particularly in the later months, while theft remains consistently reported throughout. Other offenses, including criminal damage and trespass, also appear intermittently, suggesting a diverse pattern of criminal activity across the observed period." }, { "dim_process": 20, "seq_idx": 172, "seq_len": 30, "time_since_start": [ 0.0, 2.057986111111111, 2.1185185185185187, 2.687962962962963, 3.526388888888889, 4.095486111111111, 4.300162037037037, 4.723263888888889, 7.698055555555555, 8.485763888888888, 9.213541666666666, 9.213541666666666, 10.52951388888889, 12.606597222222222, 13.536458333333334, 13.75587962962963, 14.062152777777778, 16.533402777777777, 17.27287037037037, 17.64201388888889, 17.844791666666666, 18.255902777777777, 18.270138888888887, 18.273958333333333, 18.278078703703702, 18.369791666666668, 18.96701388888889, 19.56423611111111, 21.434375, 21.706180555555555 ], "time_since_last_event": [ 0.0, 2.057986111111111, 0.06053240740740741, 0.5694444444444444, 0.8384259259259259, 0.5690972222222223, 0.20467592592592593, 0.42310185185185184, 2.9747916666666665, 0.7877083333333333, 0.7277777777777777, 0.0, 1.3159722222222223, 2.0770833333333334, 0.9298611111111111, 0.2194212962962963, 0.30627314814814816, 2.47125, 0.7394675925925925, 0.3691435185185185, 0.20277777777777778, 0.4111111111111111, 0.01423611111111111, 0.0038194444444444443, 0.004120370370370371, 0.09171296296296297, 0.5972222222222222, 0.5972222222222222, 1.8701388888888888, 0.2718055555555556 ], "type_event": [ 7, 7, 7, 7, 9, 16, 16, 7, 16, 7, 3, 0, 0, 7, 7, 7, 16, 9, 5, 7, 7, 3, 7, 16, 9, 16, 7, 14, 16, 16 ], "type_text": [ "Battery", "Battery", "Battery", "Battery", "Assault", "Narcotics", "Narcotics", "Battery", "Narcotics", "Battery", "Deceptive Practice", "Theft", "Theft", "Battery", "Battery", "Battery", "Narcotics", "Assault", "Criminal Trespass", "Battery", "Battery", "Deceptive Practice", "Battery", "Narcotics", "Assault", "Narcotics", "Battery", "Criminal Sexual Assault", "Narcotics", "Narcotics" ], "description": "The sequence of crime incidents begins with a series of battery incidents occurring within the first few months, followed by a mix of assaults and narcotics-related offenses starting around the fourth month. As time progresses, there is a notable clustering of narcotics incidents around the 7 to 21-month mark, interspersed with occasional battery and assault cases. The latter part of the sequence includes incidents of deceptive practices and theft, indicating a shift in the types of crimes reported as time advances. Overall, battery incidents are prominent early on, while narcotics offenses increase significantly in frequency over the course of the timeline." }, { "dim_process": 20, "seq_idx": 173, "seq_len": 45, "time_since_start": [ 0.0, 1.610787037037037, 2.687476851851852, 2.812615740740741, 4.485092592592593, 5.086736111111111, 5.585949074074074, 5.601111111111111, 5.855185185185185, 6.549861111111111, 9.463333333333333, 9.88, 11.649212962962963, 12.346782407407407, 12.58650462962963, 12.744351851851851, 12.820046296296296, 13.137407407407407, 13.819814814814816, 13.901990740740741, 14.356134259259258, 14.645046296296297, 15.070046296296296, 16.112384259259258, 16.12122685185185, 16.51789351851852, 17.024212962962963, 17.131851851851852, 17.145810185185184, 17.16726851851852, 17.514722222222222, 18.677685185185187, 18.92263888888889, 19.35685185185185, 19.445046296296297, 19.782060185185184, 19.847361111111113, 19.851712962962964, 20.637523148148148, 21.86662037037037, 22.00199074074074, 22.187569444444446, 22.44087962962963, 22.878310185185185, 22.881435185185186 ], "time_since_last_event": [ 0.0, 1.610787037037037, 1.0766898148148147, 0.12513888888888888, 1.6724768518518518, 0.6016435185185185, 0.49921296296296297, 0.015162037037037036, 0.25407407407407406, 0.694675925925926, 2.913472222222222, 0.4166666666666667, 1.769212962962963, 0.6975694444444445, 0.23972222222222223, 0.15784722222222222, 0.07569444444444444, 0.3173611111111111, 0.6824074074074075, 0.08217592592592593, 0.45414351851851853, 0.28891203703703705, 0.425, 1.042337962962963, 0.008842592592592593, 0.39666666666666667, 0.5063194444444444, 0.1076388888888889, 0.013958333333333333, 0.021458333333333333, 0.3474537037037037, 1.162962962962963, 0.2449537037037037, 0.43421296296296297, 0.08819444444444445, 0.3370138888888889, 0.06530092592592593, 0.0043518518518518515, 0.7858101851851852, 1.2290972222222223, 0.13537037037037036, 0.1855787037037037, 0.25331018518518517, 0.43743055555555554, 0.003125 ], "type_event": [ 1, 14, 11, 7, 1, 3, 9, 8, 9, 16, 6, 6, 0, 4, 1, 4, 1, 8, 9, 4, 1, 4, 8, 18, 1, 7, 7, 9, 1, 4, 1, 0, 1, 4, 0, 1, 9, 1, 9, 7, 8, 6, 4, 6, 1 ], "type_text": [ "Weapons Violation", "Criminal Sexual Assault", "Robbery", "Battery", "Weapons Violation", "Deceptive Practice", "Assault", "Other Offense", "Assault", "Narcotics", "Criminal Damage", "Criminal Damage", "Theft", "Motor Vehicle Theft", "Weapons Violation", "Motor Vehicle Theft", "Weapons Violation", "Other Offense", "Assault", "Motor Vehicle Theft", "Weapons Violation", "Motor Vehicle Theft", "Other Offense", "Public Peace Violation", "Weapons Violation", "Battery", "Battery", "Assault", "Weapons Violation", "Motor Vehicle Theft", "Weapons Violation", "Theft", "Weapons Violation", "Motor Vehicle Theft", "Theft", "Weapons Violation", "Assault", "Weapons Violation", "Assault", "Battery", "Other Offense", "Criminal Damage", "Motor Vehicle Theft", "Criminal Damage", "Weapons Violation" ], "description": "The sequence of crime incidents shows a diverse range of offenses reported over time, with certain types of crimes occurring more frequently at specific intervals. Initially, there are incidents related to weapons violations and sexual assault, followed by a mix of robbery and battery. As the timeline progresses, there is a noticeable clustering of motor vehicle thefts and weapons violations, particularly in the later months. Additionally, assaults and other offenses appear consistently throughout the sequence, indicating a sustained pattern of these types of incidents over time. Overall, the data reflects a gradual increase in the variety and frequency of crimes, especially in the latter part of the timeline." }, { "dim_process": 20, "seq_idx": 174, "seq_len": 32, "time_since_start": [ 0.0, 0.9325231481481482, 1.5919444444444444, 2.1491203703703703, 2.2146296296296297, 3.782824074074074, 4.120648148148148, 5.12412037037037, 5.163009259259259, 5.172731481481481, 5.989398148148148, 9.782453703703704, 10.024467592592593, 10.251898148148149, 10.282453703703704, 11.330601851851851, 13.320046296296296, 13.393796296296296, 15.105532407407408, 15.584305555555556, 16.30178240740741, 16.689398148148147, 17.51439814814815, 18.433194444444446, 18.68141203703704, 19.394953703703703, 20.29634259259259, 20.754791666666666, 20.916481481481483, 21.46300925925926, 21.925763888888888, 22.903287037037035 ], "time_since_last_event": [ 0.0, 0.9325231481481482, 0.6594212962962963, 0.5571759259259259, 0.06550925925925925, 1.5681944444444444, 0.33782407407407405, 1.0034722222222223, 0.03888888888888889, 0.009722222222222222, 0.8166666666666667, 3.7930555555555556, 0.2420138888888889, 0.22743055555555555, 0.030555555555555555, 1.048148148148148, 1.9894444444444443, 0.07375, 1.7117361111111111, 0.47877314814814814, 0.7174768518518518, 0.38761574074074073, 0.825, 0.9187962962962963, 0.2482175925925926, 0.7135416666666666, 0.9013888888888889, 0.4584490740740741, 0.16168981481481481, 0.5465277777777777, 0.46275462962962965, 0.9775231481481481 ], "type_event": [ 7, 1, 7, 8, 6, 7, 0, 6, 0, 7, 7, 6, 6, 19, 3, 6, 7, 6, 6, 3, 9, 4, 3, 1, 7, 4, 6, 0, 7, 6, 3, 11 ], "type_text": [ "Battery", "Weapons Violation", "Battery", "Other Offense", "Criminal Damage", "Battery", "Theft", "Criminal Damage", "Theft", "Battery", "Battery", "Criminal Damage", "Criminal Damage", "Homicide", "Deceptive Practice", "Criminal Damage", "Battery", "Criminal Damage", "Criminal Damage", "Deceptive Practice", "Assault", "Motor Vehicle Theft", "Deceptive Practice", "Weapons Violation", "Battery", "Motor Vehicle Theft", "Criminal Damage", "Theft", "Battery", "Criminal Damage", "Deceptive Practice", "Robbery" ], "description": "The sequence of crime incidents shows a pattern where Battery incidents occur frequently in the earlier months, with a notable cluster within the first five months. Criminal Damage appears consistently throughout the timeline, with several occurrences in the latter months. Deceptive Practices and Theft incidents are also present, emerging more prominently after the initial cluster of Battery incidents. Homicide is a singular event that occurs later in the sequence, while Weapons Violations and Motor Vehicle Theft appear intermittently, indicating a varied trend in crime types over time." }, { "dim_process": 20, "seq_idx": 175, "seq_len": 36, "time_since_start": [ 0.0, 1.7619907407407407, 1.925185185185185, 3.0751851851851852, 5.466550925925926, 7.540462962962963, 8.61962962962963, 9.414074074074074, 9.961296296296297, 9.972407407407408, 10.246689814814815, 10.81638888888889, 10.863564814814815, 12.214074074074073, 13.21337962962963, 14.289421296296297, 14.458518518518519, 14.758263888888889, 14.923125, 15.429351851851852, 16.465, 18.28, 18.484791666666666, 18.61546296296296, 18.724375, 18.78351851851852, 18.784953703703703, 18.99111111111111, 19.190231481481483, 20.093356481481482, 20.093935185185185, 20.915393518518517, 21.292731481481482, 21.372407407407408, 22.71928240740741, 23.573333333333334 ], "time_since_last_event": [ 0.0, 1.7619907407407407, 0.16319444444444445, 1.15, 2.3913657407407407, 2.073912037037037, 1.0791666666666666, 0.7944444444444444, 0.5472222222222223, 0.011111111111111112, 0.2742824074074074, 0.569699074074074, 0.04717592592592593, 1.3505092592592594, 0.9993055555555556, 1.0760416666666666, 0.16909722222222223, 0.29974537037037036, 0.16486111111111112, 0.5062268518518519, 1.035648148148148, 1.815, 0.20479166666666668, 0.13067129629629629, 0.10891203703703704, 0.05914351851851852, 0.0014351851851851852, 0.2061574074074074, 0.19912037037037036, 0.903125, 0.0005787037037037037, 0.8214583333333333, 0.37733796296296296, 0.07967592592592593, 1.346875, 0.8540509259259259 ], "type_event": [ 4, 7, 9, 3, 9, 10, 8, 0, 6, 8, 0, 7, 14, 0, 9, 2, 4, 9, 10, 8, 6, 10, 1, 9, 7, 6, 9, 11, 7, 7, 6, 9, 9, 0, 8, 8 ], "type_text": [ "Motor Vehicle Theft", "Battery", "Assault", "Deceptive Practice", "Assault", "Burglary", "Other Offense", "Theft", "Criminal Damage", "Other Offense", "Theft", "Battery", "Criminal Sexual Assault", "Theft", "Assault", "Sex Offense", "Motor Vehicle Theft", "Assault", "Burglary", "Other Offense", "Criminal Damage", "Burglary", "Weapons Violation", "Assault", "Battery", "Criminal Damage", "Assault", "Robbery", "Battery", "Battery", "Criminal Damage", "Assault", "Assault", "Theft", "Other Offense", "Other Offense" ], "description": "The sequence of crime incidents begins with a motor vehicle theft, followed by battery and assault incidents occurring within the first two months. A pattern emerges where violent crimes, such as assault and battery, cluster in the earlier months, while property crimes like theft and burglary appear later in the timeline. Notably, there is a resurgence of violent offenses, including multiple assaults and batteries, occurring in the later months, alongside a consistent presence of other offenses. The sequence also shows a gradual increase in the variety of crime types reported as time progresses." }, { "dim_process": 20, "seq_idx": 176, "seq_len": 35, "time_since_start": [ 0.0, 0.01650462962962963, 0.30972222222222223, 1.1543287037037038, 1.7194444444444446, 3.691666666666667, 4.600694444444445, 5.068101851851852, 5.738148148148148, 5.755162037037037, 6.166666666666667, 6.216319444444444, 6.979166666666667, 7.61386574074074, 7.945833333333334, 10.623171296296297, 11.582152777777777, 14.583333333333334, 15.445833333333333, 16.57199074074074, 18.631944444444443, 18.82787037037037, 19.879166666666666, 20.694328703703704, 21.288425925925925, 21.291666666666668, 21.740277777777777, 21.747222222222224, 21.99328703703704, 22.924305555555556, 23.145833333333332, 23.156944444444445, 23.284027777777776, 23.545833333333334, 23.587523148148147 ], "time_since_last_event": [ 0.0, 0.01650462962962963, 0.2932175925925926, 0.8446064814814814, 0.5651157407407408, 1.9722222222222223, 0.9090277777777778, 0.4674074074074074, 0.6700462962962963, 0.017013888888888887, 0.41150462962962964, 0.049652777777777775, 0.7628472222222222, 0.6346990740740741, 0.3319675925925926, 2.677337962962963, 0.9589814814814814, 3.0011805555555555, 0.8625, 1.1261574074074074, 2.059953703703704, 0.19592592592592592, 1.0512962962962964, 0.815162037037037, 0.5940972222222223, 0.0032407407407407406, 0.4486111111111111, 0.006944444444444444, 0.24606481481481482, 0.9310185185185185, 0.22152777777777777, 0.011111111111111112, 0.12708333333333333, 0.26180555555555557, 0.04168981481481481 ], "type_event": [ 4, 6, 4, 7, 0, 0, 7, 7, 9, 11, 0, 8, 3, 7, 3, 9, 4, 4, 0, 7, 4, 0, 3, 11, 6, 7, 0, 7, 16, 11, 7, 0, 7, 3, 7 ], "type_text": [ "Motor Vehicle Theft", "Criminal Damage", "Motor Vehicle Theft", "Battery", "Theft", "Theft", "Battery", "Battery", "Assault", "Robbery", "Theft", "Other Offense", "Deceptive Practice", "Battery", "Deceptive Practice", "Assault", "Motor Vehicle Theft", "Motor Vehicle Theft", "Theft", "Battery", "Motor Vehicle Theft", "Theft", "Deceptive Practice", "Robbery", "Criminal Damage", "Battery", "Theft", "Battery", "Narcotics", "Robbery", "Battery", "Theft", "Battery", "Deceptive Practice", "Battery" ], "description": "The sequence of crime incidents begins with motor vehicle theft and criminal damage occurring within the first month. Over the following months, there is a notable increase in battery incidents, which cluster between 1.15 and 23.59 months. Theft incidents appear intermittently throughout the timeline, with a slight increase in frequency after the initial months. Deceptive practices and robberies emerge later in the sequence, particularly around the 7 to 23-month mark, indicating a shift in the types of crimes reported as time progresses. Motor vehicle theft incidents are also repeated, showing a pattern of recurrence at various intervals throughout the timeline." }, { "dim_process": 20, "seq_idx": 177, "seq_len": 37, "time_since_start": [ 0.0, 1.5028472222222222, 2.748263888888889, 2.8125925925925928, 3.0770833333333334, 4.70462962962963, 4.886111111111111, 5.677384259259259, 6.923611111111111, 7.984583333333333, 8.372407407407408, 8.448310185185186, 8.507430555555555, 8.704166666666667, 8.73449074074074, 9.153587962962963, 9.575462962962963, 9.84201388888889, 11.050439814814816, 12.10576388888889, 13.026134259259258, 13.35138888888889, 13.46701388888889, 13.901342592592593, 13.97949074074074, 14.37761574074074, 15.006944444444445, 15.631944444444445, 16.184375, 16.567013888888887, 16.769212962962964, 18.534861111111113, 18.82, 19.914236111111112, 20.773842592592594, 21.99923611111111, 23.833726851851853 ], "time_since_last_event": [ 0.0, 1.5028472222222222, 1.2454166666666666, 0.06432870370370371, 0.26449074074074075, 1.6275462962962963, 0.1814814814814815, 0.7912731481481482, 1.2462268518518518, 1.0609722222222222, 0.3878240740740741, 0.07590277777777778, 0.05912037037037037, 0.1967361111111111, 0.030324074074074073, 0.41909722222222223, 0.421875, 0.26655092592592594, 1.208425925925926, 1.0553240740740741, 0.9203703703703704, 0.32525462962962964, 0.115625, 0.4343287037037037, 0.07814814814814815, 0.398125, 0.6293287037037038, 0.625, 0.5524305555555555, 0.38263888888888886, 0.2021990740740741, 1.765648148148148, 0.2851388888888889, 1.0942361111111112, 0.8596064814814814, 1.2253935185185185, 1.8344907407407407 ], "type_event": [ 6, 5, 1, 8, 0, 5, 6, 16, 7, 7, 4, 16, 8, 1, 6, 0, 1, 16, 1, 16, 6, 0, 0, 16, 7, 6, 7, 16, 11, 0, 1, 16, 0, 5, 11, 11, 9 ], "type_text": [ "Criminal Damage", "Criminal Trespass", "Weapons Violation", "Other Offense", "Theft", "Criminal Trespass", "Criminal Damage", "Narcotics", "Battery", "Battery", "Motor Vehicle Theft", "Narcotics", "Other Offense", "Weapons Violation", "Criminal Damage", "Theft", "Weapons Violation", "Narcotics", "Weapons Violation", "Narcotics", "Criminal Damage", "Theft", "Theft", "Narcotics", "Battery", "Criminal Damage", "Battery", "Narcotics", "Robbery", "Theft", "Weapons Violation", "Narcotics", "Theft", "Criminal Trespass", "Robbery", "Robbery", "Assault" ], "description": "The sequence of crime incidents shows a varied pattern over time, with certain types of offenses occurring in clusters. Initially, there are incidents of criminal damage and trespass, followed by a rise in weapons violations and narcotics offenses around the mid-point of the timeline. As the sequence progresses, thefts become more frequent, especially in the latter months, alongside a notable increase in robbery incidents. Battery offenses also appear intermittently throughout the timeline, indicating a mix of violent and property crimes occurring at different intervals." }, { "dim_process": 20, "seq_idx": 178, "seq_len": 63, "time_since_start": [ 0.0, 4.6296296296296294e-05, 1.432175925925926, 2.2090277777777776, 2.2270833333333333, 2.281458333333333, 2.810462962962963, 3.8114583333333334, 4.690972222222222, 4.77287037037037, 4.924305555555556, 5.875694444444444, 6.124305555555556, 6.364583333333333, 6.852083333333334, 6.929861111111111, 7.421550925925926, 7.528819444444444, 7.929861111111111, 8.261805555555556, 10.187870370370371, 11.414467592592592, 11.603472222222223, 11.755578703703703, 12.653564814814814, 12.974305555555556, 13.665138888888889, 13.88888888888889, 14.084722222222222, 14.316898148148148, 14.328472222222222, 14.390162037037037, 14.436805555555555, 14.64537037037037, 14.653819444444444, 14.655902777777778, 15.354166666666666, 15.525694444444444, 15.639768518518519, 16.063194444444445, 16.38287037037037, 16.43402777777778, 16.692870370370372, 16.713194444444444, 17.185416666666665, 17.384282407407408, 18.293055555555554, 18.686805555555555, 18.829398148148147, 18.85701388888889, 18.99240740740741, 20.493055555555557, 20.522916666666667, 21.089166666666667, 21.385416666666668, 21.488194444444446, 21.98472222222222, 22.545972222222222, 22.644444444444446, 22.645138888888887, 23.340972222222224, 23.44726851851852, 23.479861111111113 ], "time_since_last_event": [ 0.0, 4.6296296296296294e-05, 1.4321296296296295, 0.7768518518518519, 0.018055555555555554, 0.054375, 0.5290046296296296, 1.0009953703703705, 0.8795138888888889, 0.08189814814814815, 0.15143518518518517, 0.9513888888888888, 0.24861111111111112, 0.24027777777777778, 0.4875, 0.07777777777777778, 0.49168981481481483, 0.10726851851851851, 0.4010416666666667, 0.33194444444444443, 1.9260648148148147, 1.2265972222222221, 0.18900462962962963, 0.15210648148148148, 0.8979861111111112, 0.3207407407407407, 0.6908333333333333, 0.22375, 0.19583333333333333, 0.23217592592592592, 0.011574074074074073, 0.061689814814814815, 0.04664351851851852, 0.20856481481481481, 0.008449074074074074, 0.0020833333333333333, 0.6982638888888889, 0.17152777777777778, 0.11407407407407408, 0.42342592592592593, 0.3196759259259259, 0.05115740740740741, 0.25884259259259257, 0.020324074074074074, 0.4722222222222222, 0.19886574074074073, 0.9087731481481481, 0.39375, 0.1425925925925926, 0.02761574074074074, 0.13539351851851852, 1.5006481481481482, 0.029861111111111113, 0.56625, 0.29625, 0.10277777777777777, 0.4965277777777778, 0.56125, 0.09847222222222222, 0.0006944444444444445, 0.6958333333333333, 0.10629629629629629, 0.03259259259259259 ], "type_event": [ 0, 0, 9, 4, 6, 8, 8, 8, 6, 7, 9, 2, 0, 6, 0, 0, 7, 7, 3, 0, 7, 3, 0, 7, 9, 8, 3, 9, 4, 7, 7, 7, 4, 8, 7, 7, 8, 7, 4, 8, 2, 6, 9, 0, 7, 9, 4, 0, 6, 7, 9, 7, 7, 7, 6, 0, 9, 7, 9, 9, 6, 7, 8 ], "type_text": [ "Theft", "Theft", "Assault", "Motor Vehicle Theft", "Criminal Damage", "Other Offense", "Other Offense", "Other Offense", "Criminal Damage", "Battery", "Assault", "Sex Offense", "Theft", "Criminal Damage", "Theft", "Theft", "Battery", "Battery", "Deceptive Practice", "Theft", "Battery", "Deceptive Practice", "Theft", "Battery", "Assault", "Other Offense", "Deceptive Practice", "Assault", "Motor Vehicle Theft", "Battery", "Battery", "Battery", "Motor Vehicle Theft", "Other Offense", "Battery", "Battery", "Other Offense", "Battery", "Motor Vehicle Theft", "Other Offense", "Sex Offense", "Criminal Damage", "Assault", "Theft", "Battery", "Assault", "Motor Vehicle Theft", "Theft", "Criminal Damage", "Battery", "Assault", "Battery", "Battery", "Battery", "Criminal Damage", "Theft", "Assault", "Battery", "Assault", "Assault", "Criminal Damage", "Battery", "Other Offense" ], "description": "The sequence of crime incidents shows a notable clustering of thefts and assaults in the earlier months, with theft occurring multiple times at the beginning. As time progresses, there is an increase in the variety of offenses, including a rise in battery incidents around the middle of the timeline. Criminal damage also appears consistently throughout, with a noticeable spike in the later months. The occurrence of motor vehicle thefts is more concentrated in the latter part of the sequence, indicating a shift in the types of crimes reported over time. Overall, the data reflects a progression from primarily theft and assault to a broader range of offenses, particularly battery and motor vehicle theft." }, { "dim_process": 20, "seq_idx": 179, "seq_len": 30, "time_since_start": [ 0.0, 0.4111111111111111, 3.3090277777777777, 3.435763888888889, 4.071412037037037, 4.951712962962963, 5.069444444444445, 5.401064814814815, 6.665902777777778, 9.29375, 9.434027777777779, 10.690277777777778, 10.694907407407408, 10.868981481481482, 10.915277777777778, 11.668055555555556, 11.693055555555556, 12.033680555555556, 12.891435185185186, 12.894074074074075, 12.896412037037036, 13.487152777777778, 13.64861111111111, 17.399652777777778, 18.0, 18.63125, 19.195833333333333, 19.545949074074073, 20.65625, 22.20101851851852 ], "time_since_last_event": [ 0.0, 0.4111111111111111, 2.8979166666666667, 0.1267361111111111, 0.6356481481481482, 0.8803009259259259, 0.11773148148148148, 0.33162037037037034, 1.264837962962963, 2.627847222222222, 0.14027777777777778, 1.25625, 0.004629629629629629, 0.17407407407407408, 0.046296296296296294, 0.7527777777777778, 0.025, 0.340625, 0.8577546296296297, 0.002638888888888889, 0.002337962962962963, 0.5907407407407408, 0.16145833333333334, 3.7510416666666666, 0.6003472222222223, 0.63125, 0.5645833333333333, 0.35011574074074076, 1.110300925925926, 1.5447685185185185 ], "type_event": [ 4, 2, 9, 7, 0, 0, 8, 6, 7, 7, 6, 8, 8, 7, 3, 6, 7, 7, 8, 6, 6, 9, 3, 7, 7, 4, 4, 0, 7, 7 ], "type_text": [ "Motor Vehicle Theft", "Sex Offense", "Assault", "Battery", "Theft", "Theft", "Other Offense", "Criminal Damage", "Battery", "Battery", "Criminal Damage", "Other Offense", "Other Offense", "Battery", "Deceptive Practice", "Criminal Damage", "Battery", "Battery", "Other Offense", "Criminal Damage", "Criminal Damage", "Assault", "Deceptive Practice", "Battery", "Battery", "Motor Vehicle Theft", "Motor Vehicle Theft", "Theft", "Battery", "Battery" ], "description": "The sequence of crime incidents shows an initial occurrence of Motor Vehicle Theft, followed by a mix of sex offenses and assaults within the first few months. As time progresses, there is a notable clustering of battery incidents, particularly between the 9th and 20th month, alongside recurring instances of other offenses and criminal damage. The theft incidents appear sporadically, with a slight increase in frequency towards the later months, while motor vehicle thefts also re-emerge after the initial incident. Overall, the latter part of the timeline is characterized by a higher concentration of battery and criminal damage events." }, { "dim_process": 20, "seq_idx": 180, "seq_len": 40, "time_since_start": [ 0.0, 3.384837962962963, 3.449074074074074, 4.582407407407407, 5.242824074074074, 5.654583333333333, 6.359259259259259, 6.536574074074074, 6.768518518518518, 7.166435185185185, 8.036574074074075, 9.133796296296296, 9.496296296296297, 9.653726851851852, 9.863657407407407, 10.072222222222223, 10.329074074074073, 10.546550925925926, 11.67824074074074, 12.258101851851851, 12.466435185185185, 12.599074074074075, 13.556944444444444, 13.747685185185185, 13.778935185185185, 13.895949074074075, 14.449027777777777, 14.71712962962963, 14.821296296296296, 15.403935185185185, 15.51574074074074, 16.06678240740741, 16.105162037037037, 18.536574074074075, 18.97824074074074, 19.387268518518518, 20.050509259259258, 20.39351851851852, 21.521805555555556, 22.457615740740742 ], "time_since_last_event": [ 0.0, 3.384837962962963, 0.0642361111111111, 1.1333333333333333, 0.6604166666666667, 0.41175925925925927, 0.7046759259259259, 0.17731481481481481, 0.23194444444444445, 0.39791666666666664, 0.8701388888888889, 1.0972222222222223, 0.3625, 0.15743055555555555, 0.20993055555555556, 0.20856481481481481, 0.25685185185185183, 0.21747685185185187, 1.131689814814815, 0.5798611111111112, 0.20833333333333334, 0.1326388888888889, 0.9578703703703704, 0.19074074074074074, 0.03125, 0.11701388888888889, 0.5530787037037037, 0.26810185185185187, 0.10416666666666667, 0.5826388888888889, 0.11180555555555556, 0.5510416666666667, 0.03837962962962963, 2.431412037037037, 0.44166666666666665, 0.40902777777777777, 0.6632407407407407, 0.34300925925925924, 1.128287037037037, 0.9358101851851852 ], "type_event": [ 16, 6, 3, 8, 10, 8, 9, 7, 0, 6, 8, 4, 6, 4, 9, 2, 7, 8, 0, 2, 0, 6, 3, 7, 7, 7, 9, 0, 4, 7, 3, 6, 11, 3, 0, 9, 8, 6, 9, 0 ], "type_text": [ "Narcotics", "Criminal Damage", "Deceptive Practice", "Other Offense", "Burglary", "Other Offense", "Assault", "Battery", "Theft", "Criminal Damage", "Other Offense", "Motor Vehicle Theft", "Criminal Damage", "Motor Vehicle Theft", "Assault", "Sex Offense", "Battery", "Other Offense", "Theft", "Sex Offense", "Theft", "Criminal Damage", "Deceptive Practice", "Battery", "Battery", "Battery", "Assault", "Theft", "Motor Vehicle Theft", "Battery", "Deceptive Practice", "Criminal Damage", "Robbery", "Deceptive Practice", "Theft", "Assault", "Other Offense", "Criminal Damage", "Assault", "Theft" ], "description": "The sequence of crime incidents begins with narcotics offenses, followed by a series of property-related crimes such as criminal damage and burglary occurring in the early months. As time progresses, there is an increase in violent offenses, including assaults and batteries, particularly around the 6 to 14-month mark. The latter part of the sequence shows a notable clustering of thefts and repeated incidents of criminal damage, with deceptive practices also appearing intermittently. Overall, the timeline reflects a shift from drug-related offenses to more violent and property crimes as time advances." }, { "dim_process": 20, "seq_idx": 181, "seq_len": 44, "time_since_start": [ 0.0, 0.15069444444444444, 1.0222222222222221, 1.5090277777777779, 3.422222222222222, 3.7256944444444446, 5.983657407407407, 7.5552777777777775, 8.186111111111112, 8.412106481481482, 9.033796296296297, 10.203217592592592, 10.309722222222222, 10.421111111111111, 10.707638888888889, 11.668055555555556, 11.681944444444444, 11.982337962962964, 12.018055555555556, 12.021226851851852, 12.219675925925927, 14.333078703703704, 14.33611111111111, 14.818402777777777, 15.14875, 15.38474537037037, 15.8375, 15.838657407407407, 15.911111111111111, 16.246111111111112, 16.89474537037037, 16.992361111111112, 17.21488425925926, 17.279166666666665, 17.875462962962963, 18.792800925925928, 19.406944444444445, 20.146296296296295, 20.755555555555556, 22.352777777777778, 23.054861111111112, 23.130555555555556, 23.249074074074073, 23.28965277777778 ], "time_since_last_event": [ 0.0, 0.15069444444444444, 0.8715277777777778, 0.48680555555555555, 1.9131944444444444, 0.3034722222222222, 2.257962962962963, 1.5716203703703704, 0.6308333333333334, 0.22599537037037037, 0.6216898148148148, 1.1694212962962962, 0.10650462962962963, 0.11138888888888888, 0.28652777777777777, 0.9604166666666667, 0.013888888888888888, 0.30039351851851853, 0.03571759259259259, 0.003171296296296296, 0.19844907407407408, 2.113402777777778, 0.0030324074074074073, 0.4822916666666667, 0.33034722222222224, 0.23599537037037038, 0.45275462962962965, 0.0011574074074074073, 0.0724537037037037, 0.335, 0.6486342592592592, 0.09761574074074074, 0.22252314814814814, 0.06428240740740741, 0.5962962962962963, 0.917337962962963, 0.6141435185185186, 0.7393518518518518, 0.6092592592592593, 1.5972222222222223, 0.7020833333333333, 0.07569444444444444, 0.11851851851851852, 0.04057870370370371 ], "type_event": [ 0, 14, 4, 0, 4, 4, 7, 7, 6, 7, 4, 7, 4, 0, 0, 4, 4, 9, 7, 9, 0, 7, 6, 7, 7, 1, 4, 6, 6, 7, 6, 9, 19, 0, 4, 9, 3, 6, 0, 0, 4, 0, 9, 8 ], "type_text": [ "Theft", "Criminal Sexual Assault", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Battery", "Battery", "Criminal Damage", "Battery", "Motor Vehicle Theft", "Battery", "Motor Vehicle Theft", "Theft", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Assault", "Battery", "Assault", "Theft", "Battery", "Criminal Damage", "Battery", "Battery", "Weapons Violation", "Motor Vehicle Theft", "Criminal Damage", "Criminal Damage", "Battery", "Criminal Damage", "Assault", "Homicide", "Theft", "Motor Vehicle Theft", "Assault", "Deceptive Practice", "Criminal Damage", "Theft", "Theft", "Motor Vehicle Theft", "Theft", "Assault", "Other Offense" ], "description": "The sequence of crime incidents shows a variety of crime types occurring over time, with notable clustering patterns. Initially, theft and criminal sexual assault are reported, followed by a series of motor vehicle thefts that dominate the early months. As time progresses, there is an increase in battery incidents, particularly around the 10 to 15-month mark, alongside a rise in criminal damage reports. Towards the latter part of the sequence, assaults and thefts continue to appear, with a significant incident of homicide occurring shortly after the 17-month mark, indicating a diverse range of offenses throughout the timeline." }, { "dim_process": 20, "seq_idx": 182, "seq_len": 61, "time_since_start": [ 0.0, 0.2596527777777778, 0.4599537037037037, 0.5266203703703703, 0.9578703703703704, 1.0328703703703703, 1.3938425925925926, 1.4328703703703705, 1.9957175925925925, 3.028703703703704, 3.3630787037037035, 3.5347222222222223, 3.7266203703703704, 3.7668981481481483, 4.034027777777778, 6.280092592592593, 7.049305555555556, 7.931481481481481, 7.980092592592593, 8.229398148148148, 8.53113425925926, 8.698148148148148, 8.766203703703704, 9.396412037037036, 9.470902777777777, 9.631481481481481, 9.705115740740741, 9.932060185185184, 10.29988425925926, 10.594097222222222, 10.629398148148148, 10.763425925925926, 10.829513888888888, 11.70613425925926, 11.967708333333333, 12.193981481481481, 12.199861111111112, 12.363194444444444, 12.613425925925926, 13.095972222222223, 13.990162037037036, 14.033101851851852, 14.060648148148148, 15.76574074074074, 16.23175925925926, 16.66377314814815, 18.756828703703704, 19.491666666666667, 19.67800925925926, 19.73148148148148, 19.893287037037037, 20.128009259259258, 20.130092592592593, 20.163425925925925, 20.362037037037037, 20.59474537037037, 21.230787037037036, 21.696064814814815, 22.866203703703704, 22.93425925925926, 22.968587962962964 ], "time_since_last_event": [ 0.0, 0.2596527777777778, 0.20030092592592594, 0.06666666666666667, 0.43125, 0.075, 0.36097222222222225, 0.03902777777777778, 0.5628472222222223, 1.0329861111111112, 0.334375, 0.17164351851851853, 0.19189814814814815, 0.04027777777777778, 0.2671296296296296, 2.246064814814815, 0.7692129629629629, 0.882175925925926, 0.04861111111111111, 0.24930555555555556, 0.3017361111111111, 0.16701388888888888, 0.06805555555555555, 0.6302083333333334, 0.07449074074074075, 0.1605787037037037, 0.07363425925925926, 0.22694444444444445, 0.3678240740740741, 0.29421296296296295, 0.03530092592592592, 0.13402777777777777, 0.06608796296296296, 0.8766203703703703, 0.26157407407407407, 0.22627314814814814, 0.00587962962962963, 0.16333333333333333, 0.2502314814814815, 0.4825462962962963, 0.8941898148148149, 0.04293981481481481, 0.027546296296296298, 1.7050925925925926, 0.4660185185185185, 0.43201388888888886, 2.0930555555555554, 0.734837962962963, 0.1863425925925926, 0.05347222222222222, 0.16180555555555556, 0.23472222222222222, 0.0020833333333333333, 0.03333333333333333, 0.1986111111111111, 0.23270833333333332, 0.6360416666666666, 0.4652777777777778, 1.1701388888888888, 0.06805555555555555, 0.0343287037037037 ], "type_event": [ 18, 18, 7, 7, 7, 7, 7, 7, 7, 14, 18, 7, 7, 0, 7, 14, 9, 9, 7, 7, 9, 7, 9, 7, 7, 0, 8, 7, 7, 7, 9, 7, 18, 9, 7, 7, 9, 7, 13, 7, 6, 7, 9, 3, 7, 0, 4, 7, 8, 0, 7, 7, 6, 7, 7, 7, 9, 7, 7, 7, 0 ], "type_text": [ "Public Peace Violation", "Public Peace Violation", "Battery", "Battery", "Battery", "Battery", "Battery", "Battery", "Battery", "Criminal Sexual Assault", "Public Peace Violation", "Battery", "Battery", "Theft", "Battery", "Criminal Sexual Assault", "Assault", "Assault", "Battery", "Battery", "Assault", "Battery", "Assault", "Battery", "Battery", "Theft", "Other Offense", "Battery", "Battery", "Battery", "Assault", "Battery", "Public Peace Violation", "Assault", "Battery", "Battery", "Assault", "Battery", "Offense Involving Children", "Battery", "Criminal Damage", "Battery", "Assault", "Deceptive Practice", "Battery", "Theft", "Motor Vehicle Theft", "Battery", "Other Offense", "Theft", "Battery", "Battery", "Criminal Damage", "Battery", "Battery", "Battery", "Assault", "Battery", "Battery", "Battery", "Theft" ], "description": "The sequence of crime incidents in the block reveals a pattern where Public Peace Violations occur early in the timeline, followed by a significant cluster of Battery incidents that dominate the initial months. As time progresses, there is a noticeable increase in Assaults and a few Criminal Sexual Assaults. The latter part of the sequence sees a rise in Theft incidents, alongside continued occurrences of Battery. Overall, Battery is the most frequent crime type, with Assault and Theft becoming more prominent as the timeline advances." }, { "dim_process": 20, "seq_idx": 183, "seq_len": 69, "time_since_start": [ 0.0, 0.5358101851851852, 0.664537037037037, 0.8638888888888889, 2.151759259259259, 2.7354166666666666, 2.9875, 3.026087962962963, 3.4402777777777778, 4.016666666666667, 5.069907407407407, 5.236111111111111, 5.352777777777778, 5.6625, 5.919444444444444, 6.031203703703704, 6.254467592592593, 6.365671296296297, 6.421875, 7.486111111111111, 7.527083333333334, 7.564467592592592, 7.977407407407408, 9.032291666666667, 9.035092592592592, 9.088194444444444, 9.459259259259259, 9.491666666666667, 9.576736111111112, 11.134375, 12.328888888888889, 12.465324074074074, 12.99375, 13.003680555555556, 13.017986111111112, 13.270069444444445, 13.420648148148148, 13.444791666666667, 13.471967592592593, 14.695069444444444, 14.984027777777778, 15.067939814814816, 15.190300925925927, 16.598773148148148, 16.599074074074075, 17.070578703703703, 17.20476851851852, 17.26597222222222, 17.528425925925927, 17.690625, 17.833726851851853, 17.893055555555556, 18.135, 18.195324074074072, 18.509722222222223, 18.68726851851852, 19.022314814814816, 19.106805555555557, 19.116666666666667, 19.26724537037037, 19.291666666666668, 19.67222222222222, 20.438078703703702, 20.932291666666668, 20.97773148148148, 21.435416666666665, 21.870833333333334, 22.84861111111111, 23.06662037037037 ], "time_since_last_event": [ 0.0, 0.5358101851851852, 0.12872685185185184, 0.19935185185185186, 1.2878703703703704, 0.5836574074074075, 0.2520833333333333, 0.03858796296296296, 0.4141898148148148, 0.5763888888888888, 1.0532407407407407, 0.16620370370370371, 0.11666666666666667, 0.30972222222222223, 0.2569444444444444, 0.11175925925925925, 0.2232638888888889, 0.11120370370370371, 0.05620370370370371, 1.0642361111111112, 0.04097222222222222, 0.037384259259259256, 0.4129398148148148, 1.0548842592592593, 0.002800925925925926, 0.05310185185185185, 0.3710648148148148, 0.032407407407407406, 0.08506944444444445, 1.5576388888888888, 1.1945138888888889, 0.1364351851851852, 0.528425925925926, 0.009930555555555555, 0.014305555555555556, 0.2520833333333333, 0.15057870370370371, 0.02414351851851852, 0.027175925925925926, 1.223101851851852, 0.2889583333333333, 0.08391203703703703, 0.12236111111111111, 1.4084722222222221, 0.00030092592592592595, 0.47150462962962963, 0.13418981481481482, 0.061203703703703705, 0.2624537037037037, 0.16219907407407408, 0.14310185185185184, 0.0593287037037037, 0.24194444444444443, 0.06032407407407407, 0.31439814814814815, 0.17754629629629629, 0.3350462962962963, 0.08449074074074074, 0.00986111111111111, 0.15057870370370371, 0.024421296296296295, 0.38055555555555554, 0.7658564814814814, 0.49421296296296297, 0.045439814814814815, 0.4576851851851852, 0.4354166666666667, 0.9777777777777777, 0.21800925925925926 ], "type_event": [ 11, 5, 7, 6, 1, 7, 11, 8, 7, 3, 14, 16, 7, 0, 3, 9, 7, 1, 7, 0, 9, 10, 5, 9, 19, 7, 7, 7, 0, 4, 7, 12, 0, 12, 9, 1, 7, 6, 9, 6, 9, 6, 16, 7, 7, 1, 11, 16, 16, 7, 16, 6, 16, 16, 0, 0, 16, 10, 7, 7, 3, 6, 0, 4, 11, 7, 0, 3, 1 ], "type_text": [ "Robbery", "Criminal Trespass", "Battery", "Criminal Damage", "Weapons Violation", "Battery", "Robbery", "Other Offense", "Battery", "Deceptive Practice", "Criminal Sexual Assault", "Narcotics", "Battery", "Theft", "Deceptive Practice", "Assault", "Battery", "Weapons Violation", "Battery", "Theft", "Assault", "Burglary", "Criminal Trespass", "Assault", "Homicide", "Battery", "Battery", "Battery", "Theft", "Motor Vehicle Theft", "Battery", "Arson", "Theft", "Arson", "Assault", "Weapons Violation", "Battery", "Criminal Damage", "Assault", "Criminal Damage", "Assault", "Criminal Damage", "Narcotics", "Battery", "Battery", "Weapons Violation", "Robbery", "Narcotics", "Narcotics", "Battery", "Narcotics", "Criminal Damage", "Narcotics", "Narcotics", "Theft", "Theft", "Narcotics", "Burglary", "Battery", "Battery", "Deceptive Practice", "Criminal Damage", "Theft", "Motor Vehicle Theft", "Robbery", "Battery", "Theft", "Deceptive Practice", "Weapons Violation" ], "description": "The sequence of crime incidents in Chicago shows a gradual increase in the frequency and variety of offenses over time. Initial events include robberies and criminal trespass, with battery incidents appearing frequently in the early months. As time progresses, there is a noticeable rise in thefts and narcotics-related offenses, particularly in the later months. Additionally, weapons violations and assaults appear intermittently throughout the timeline, while arson incidents cluster towards the later part of the sequence. Overall, the data reflects a trend of increasing crime complexity and frequency as time advances." }, { "dim_process": 20, "seq_idx": 184, "seq_len": 44, "time_since_start": [ 0.0, 1.4447453703703703, 2.8756944444444446, 2.9447916666666667, 3.3774305555555557, 3.918287037037037, 4.891666666666667, 7.720833333333333, 7.898611111111111, 8.0625, 8.2875, 8.335740740740741, 8.572916666666666, 8.934027777777779, 10.851643518518518, 11.259328703703703, 11.845138888888888, 12.139583333333333, 12.5125, 12.75, 15.472222222222221, 15.770694444444445, 16.59537037037037, 16.787523148148146, 16.867361111111112, 17.174305555555556, 17.308333333333334, 18.270833333333332, 18.43402777777778, 18.68611111111111, 18.87152777777778, 19.051944444444445, 19.056597222222223, 19.056898148148147, 19.24300925925926, 19.680902777777778, 20.115277777777777, 20.122222222222224, 20.53733796296296, 20.677777777777777, 21.36898148148148, 21.648611111111112, 23.088657407407407, 23.83703703703704 ], "time_since_last_event": [ 0.0, 1.4447453703703703, 1.430949074074074, 0.06909722222222223, 0.4326388888888889, 0.5408564814814815, 0.9733796296296297, 2.8291666666666666, 0.17777777777777778, 0.1638888888888889, 0.225, 0.048240740740740744, 0.23717592592592593, 0.3611111111111111, 1.9176157407407408, 0.4076851851851852, 0.5858101851851852, 0.29444444444444445, 0.3729166666666667, 0.2375, 2.7222222222222223, 0.29847222222222225, 0.824675925925926, 0.19215277777777778, 0.07983796296296296, 0.30694444444444446, 0.13402777777777777, 0.9625, 0.16319444444444445, 0.2520833333333333, 0.18541666666666667, 0.18041666666666667, 0.004652777777777777, 0.00030092592592592595, 0.18611111111111112, 0.43789351851851854, 0.434375, 0.006944444444444444, 0.41511574074074076, 0.14043981481481482, 0.6912037037037037, 0.2796296296296296, 1.4400462962962963, 0.7483796296296297 ], "type_event": [ 9, 7, 9, 0, 7, 8, 8, 13, 3, 6, 9, 0, 9, 8, 11, 6, 0, 0, 4, 4, 9, 0, 10, 3, 7, 7, 0, 6, 0, 7, 7, 10, 11, 11, 8, 9, 4, 4, 11, 9, 7, 0, 7, 7 ], "type_text": [ "Assault", "Battery", "Assault", "Theft", "Battery", "Other Offense", "Other Offense", "Offense Involving Children", "Deceptive Practice", "Criminal Damage", "Assault", "Theft", "Assault", "Other Offense", "Robbery", "Criminal Damage", "Theft", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Assault", "Theft", "Burglary", "Deceptive Practice", "Battery", "Battery", "Theft", "Criminal Damage", "Theft", "Battery", "Battery", "Burglary", "Robbery", "Robbery", "Other Offense", "Assault", "Motor Vehicle Theft", "Motor Vehicle Theft", "Robbery", "Assault", "Battery", "Theft", "Battery", "Battery" ], "description": "The sequence of crime incidents shows a progression of various crime types over time, with notable clusters of certain offenses. Assaults and thefts appear frequently throughout the timeline, particularly in the earlier months, while other offenses such as robbery and motor vehicle theft emerge later in the sequence. Battery incidents are also prevalent, particularly in the later stages. Overall, the data indicates a mix of violent and property crimes, with some types, like theft and assault, occurring consistently throughout the timeline, while others, like burglary and robbery, appear more sporadically." }, { "dim_process": 20, "seq_idx": 185, "seq_len": 36, "time_since_start": [ 0.0, 0.19775462962962964, 0.5463657407407407, 2.8402314814814815, 4.357476851851852, 5.231064814814815, 5.468819444444445, 5.617546296296296, 6.094976851851852, 7.859861111111111, 9.796550925925926, 10.41337962962963, 10.829652777777778, 11.199328703703705, 13.21164351851852, 13.620671296296296, 13.742546296296297, 15.038032407407407, 15.371828703703704, 15.728032407407408, 16.95747685185185, 17.65199074074074, 18.96199074074074, 19.60122685185185, 20.149953703703705, 20.197453703703705, 20.31766203703704, 20.556550925925926, 21.19122685185185, 22.056087962962962, 22.425532407407406, 22.621712962962963, 23.077384259259258, 23.13048611111111, 23.149837962962962, 23.384560185185187 ], "time_since_last_event": [ 0.0, 0.19775462962962964, 0.3486111111111111, 2.2938657407407406, 1.5172453703703703, 0.8735879629629629, 0.23775462962962962, 0.14872685185185186, 0.4774305555555556, 1.7648842592592593, 1.9366898148148148, 0.6168287037037037, 0.41627314814814814, 0.3696759259259259, 2.0123148148148147, 0.40902777777777777, 0.121875, 1.2954861111111111, 0.3337962962962963, 0.3562037037037037, 1.2294444444444443, 0.6945138888888889, 1.31, 0.6392361111111111, 0.5487268518518519, 0.0475, 0.12020833333333333, 0.2388888888888889, 0.6346759259259259, 0.8648611111111111, 0.36944444444444446, 0.19618055555555555, 0.45567129629629627, 0.05310185185185185, 0.019351851851851853, 0.23472222222222222 ], "type_event": [ 10, 6, 11, 10, 6, 7, 19, 9, 6, 7, 7, 5, 7, 9, 0, 11, 16, 4, 9, 18, 7, 0, 7, 7, 6, 6, 9, 10, 7, 6, 10, 9, 3, 1, 7, 6 ], "type_text": [ "Burglary", "Criminal Damage", "Robbery", "Burglary", "Criminal Damage", "Battery", "Homicide", "Assault", "Criminal Damage", "Battery", "Battery", "Criminal Trespass", "Battery", "Assault", "Theft", "Robbery", "Narcotics", "Motor Vehicle Theft", "Assault", "Public Peace Violation", "Battery", "Theft", "Battery", "Battery", "Criminal Damage", "Criminal Damage", "Assault", "Burglary", "Battery", "Criminal Damage", "Burglary", "Assault", "Deceptive Practice", "Weapons Violation", "Battery", "Criminal Damage" ], "description": "The sequence of crime incidents shows a varied pattern over time, with certain types of crimes occurring more frequently at specific intervals. Initially, incidents such as burglary and criminal damage appear early in the timeline, followed by a mix of robbery and violent crimes like battery and homicide around the mid-point. As the timeline progresses, there is a noticeable clustering of battery incidents, particularly in the later months, alongside a consistent presence of criminal damage. Additionally, theft and narcotics offenses emerge in the latter part of the timeline, indicating a shift in the types of crimes reported. Overall, the sequence highlights a progression from property crimes to more violent offenses, with a notable increase in battery incidents as time advances." }, { "dim_process": 20, "seq_idx": 186, "seq_len": 76, "time_since_start": [ 0.0, 0.5819444444444445, 0.7419675925925926, 1.0730787037037037, 1.6319444444444444, 1.8331481481481482, 2.5930555555555554, 2.7063888888888887, 3.0653703703703705, 3.186111111111111, 3.498611111111111, 3.7961805555555554, 3.813888888888889, 3.814722222222222, 3.8560185185185185, 4.041666666666667, 4.050694444444445, 4.351041666666666, 4.411111111111111, 4.454490740740741, 4.45462962962963, 4.723263888888889, 4.8555324074074075, 4.869212962962963, 5.008101851851852, 5.638981481481482, 5.981944444444444, 6.534722222222222, 6.581944444444445, 6.965277777777778, 7.548101851851852, 7.769444444444445, 8.57013888888889, 9.220416666666667, 9.728518518518518, 10.577546296296296, 11.392708333333333, 11.505555555555556, 11.551157407407407, 11.805324074074074, 12.556180555555555, 12.670023148148148, 12.89537037037037, 13.040277777777778, 13.426435185185186, 14.354166666666666, 14.427592592592593, 14.569444444444445, 14.99212962962963, 15.070555555555556, 15.197962962962963, 15.6625, 15.68912037037037, 15.75300925925926, 15.917962962962964, 15.934282407407407, 16.133240740740742, 16.261203703703703, 16.949768518518518, 17.07002314814815, 17.127083333333335, 18.428958333333334, 18.45810185185185, 18.571527777777778, 18.766319444444445, 19.381944444444443, 19.93539351851852, 20.327083333333334, 20.763587962962962, 20.79375, 21.68611111111111, 21.723958333333332, 22.163888888888888, 22.350833333333334, 23.220069444444444, 23.447754629629628 ], "time_since_last_event": [ 0.0, 0.5819444444444445, 0.16002314814814814, 0.33111111111111113, 0.5588657407407407, 0.2012037037037037, 0.7599074074074074, 0.11333333333333333, 0.35898148148148146, 0.12074074074074075, 0.3125, 0.29756944444444444, 0.017708333333333333, 0.0008333333333333334, 0.041296296296296296, 0.18564814814814815, 0.009027777777777777, 0.3003472222222222, 0.060069444444444446, 0.04337962962962963, 0.0001388888888888889, 0.26863425925925927, 0.1322685185185185, 0.013680555555555555, 0.1388888888888889, 0.6308796296296296, 0.34296296296296297, 0.5527777777777778, 0.04722222222222222, 0.38333333333333336, 0.5828240740740741, 0.2213425925925926, 0.8006944444444445, 0.6502777777777777, 0.5081018518518519, 0.8490277777777778, 0.815162037037037, 0.11284722222222222, 0.04560185185185185, 0.25416666666666665, 0.7508564814814814, 0.11384259259259259, 0.22534722222222223, 0.1449074074074074, 0.3861574074074074, 0.9277314814814814, 0.07342592592592592, 0.14185185185185184, 0.42268518518518516, 0.07842592592592593, 0.1274074074074074, 0.464537037037037, 0.02662037037037037, 0.06388888888888888, 0.1649537037037037, 0.016319444444444445, 0.19895833333333332, 0.12796296296296297, 0.6885648148148148, 0.12025462962962963, 0.057060185185185186, 1.301875, 0.02914351851851852, 0.11342592592592593, 0.19479166666666667, 0.615625, 0.5534490740740741, 0.3916898148148148, 0.4365046296296296, 0.030162037037037036, 0.8923611111111112, 0.03784722222222222, 0.43993055555555555, 0.18694444444444444, 0.8692361111111111, 0.22768518518518518 ], "type_event": [ 0, 7, 5, 0, 0, 8, 3, 7, 8, 9, 6, 11, 6, 7, 6, 6, 8, 6, 6, 7, 9, 0, 6, 9, 2, 8, 7, 7, 8, 0, 9, 4, 4, 9, 8, 7, 9, 5, 6, 6, 7, 7, 7, 6, 1, 9, 8, 11, 4, 6, 7, 6, 16, 4, 0, 1, 1, 5, 0, 7, 8, 1, 3, 7, 6, 6, 6, 7, 8, 11, 0, 0, 4, 0, 7, 7 ], "type_text": [ "Theft", "Battery", "Criminal Trespass", "Theft", "Theft", "Other Offense", "Deceptive Practice", "Battery", "Other Offense", "Assault", "Criminal Damage", "Robbery", "Criminal Damage", "Battery", "Criminal Damage", "Criminal Damage", "Other Offense", "Criminal Damage", "Criminal Damage", "Battery", "Assault", "Theft", "Criminal Damage", "Assault", "Sex Offense", "Other Offense", "Battery", "Battery", "Other Offense", "Theft", "Assault", "Motor Vehicle Theft", "Motor Vehicle Theft", "Assault", "Other Offense", "Battery", "Assault", "Criminal Trespass", "Criminal Damage", "Criminal Damage", "Battery", "Battery", "Battery", "Criminal Damage", "Weapons Violation", "Assault", "Other Offense", "Robbery", "Motor Vehicle Theft", "Criminal Damage", "Battery", "Criminal Damage", "Narcotics", "Motor Vehicle Theft", "Theft", "Weapons Violation", "Weapons Violation", "Criminal Trespass", "Theft", "Battery", "Other Offense", "Weapons Violation", "Deceptive Practice", "Battery", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Battery", "Other Offense", "Robbery", "Theft", "Theft", "Motor Vehicle Theft", "Theft", "Battery", "Battery" ], "description": "The sequence of crime incidents shows a diverse range of offenses occurring over time, with notable clustering of certain types. Initially, thefts and batteries are prominent, with thefts occurring frequently in the early months. As time progresses, there is a significant increase in criminal damage incidents, particularly around the mid to later months, alongside a rise in assaults and motor vehicle thefts. Other offenses and weapons violations also appear intermittently, indicating a varied pattern of crime types throughout the timeline." }, { "dim_process": 20, "seq_idx": 187, "seq_len": 43, "time_since_start": [ 0.0, 1.4305555555555556, 1.4336805555555556, 1.9126851851851852, 2.3229166666666665, 3.0182175925925927, 3.024050925925926, 3.566666666666667, 4.0003472222222225, 4.718055555555556, 5.8679398148148145, 6.084745370370371, 6.72337962962963, 6.955555555555556, 7.0488888888888885, 8.195833333333333, 9.59388888888889, 10.877083333333333, 10.9625, 11.360416666666667, 11.656828703703704, 11.795393518518518, 12.602083333333333, 13.075462962962963, 14.16287037037037, 14.190972222222221, 14.565277777777778, 15.166527777777778, 15.59474537037037, 15.772222222222222, 15.926898148148148, 16.1375, 16.141666666666666, 16.756944444444443, 16.826273148148147, 16.844444444444445, 17.302777777777777, 17.863888888888887, 18.308333333333334, 21.209722222222222, 21.46898148148148, 23.49185185185185, 23.56125 ], "time_since_last_event": [ 0.0, 1.4305555555555556, 0.003125, 0.47900462962962964, 0.4102314814814815, 0.695300925925926, 0.005833333333333334, 0.5426157407407407, 0.43368055555555557, 0.7177083333333333, 1.1498842592592593, 0.21680555555555556, 0.6386342592592592, 0.23217592592592592, 0.09333333333333334, 1.1469444444444445, 1.3980555555555556, 1.2831944444444445, 0.08541666666666667, 0.39791666666666664, 0.29641203703703706, 0.1385648148148148, 0.8066898148148148, 0.47337962962962965, 1.0874074074074074, 0.028101851851851854, 0.37430555555555556, 0.60125, 0.42821759259259257, 0.17747685185185186, 0.15467592592592594, 0.21060185185185185, 0.004166666666666667, 0.6152777777777778, 0.0693287037037037, 0.018171296296296297, 0.4583333333333333, 0.5611111111111111, 0.4444444444444444, 2.901388888888889, 0.25925925925925924, 2.0228703703703705, 0.06939814814814815 ], "type_event": [ 17, 6, 7, 7, 3, 9, 9, 8, 4, 7, 7, 9, 19, 11, 7, 1, 1, 8, 4, 7, 7, 1, 7, 7, 11, 4, 6, 7, 7, 0, 8, 5, 0, 0, 4, 4, 7, 9, 7, 9, 11, 7, 6 ], "type_text": [ "Stalking", "Criminal Damage", "Battery", "Battery", "Deceptive Practice", "Assault", "Assault", "Other Offense", "Motor Vehicle Theft", "Battery", "Battery", "Assault", "Homicide", "Robbery", "Battery", "Weapons Violation", "Weapons Violation", "Other Offense", "Motor Vehicle Theft", "Battery", "Battery", "Weapons Violation", "Battery", "Battery", "Robbery", "Motor Vehicle Theft", "Criminal Damage", "Battery", "Battery", "Theft", "Other Offense", "Criminal Trespass", "Theft", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Battery", "Assault", "Battery", "Assault", "Robbery", "Battery", "Criminal Damage" ], "description": "The sequence of crime incidents shows a gradual increase in frequency and variety over time. Initially, incidents such as stalking and battery occur within the first few months, followed by a mix of assaults and property crimes like motor vehicle theft. As time progresses, there is a noticeable clustering of battery incidents, particularly in the later months, alongside a rise in violent crimes such as robbery and homicide. Additionally, weapon violations appear later in the timeline, indicating a shift in the nature of reported offenses as the sequence unfolds. Overall, the data reflects a trend of escalating criminal activity with certain types of crimes becoming more prevalent in the latter stages." }, { "dim_process": 20, "seq_idx": 188, "seq_len": 58, "time_since_start": [ 0.0, 0.8372685185185185, 0.8671296296296296, 1.089351851851852, 1.7695601851851852, 2.495601851851852, 4.8099537037037035, 5.431018518518519, 6.171412037037037, 6.173263888888889, 6.198842592592593, 6.931597222222222, 7.143518518518518, 8.531481481481482, 8.794907407407408, 8.965046296296297, 9.291435185185184, 9.630555555555556, 10.438888888888888, 10.592824074074073, 10.646296296296295, 10.890046296296296, 10.961574074074074, 11.025462962962964, 11.210185185185185, 12.040393518518519, 12.201851851851853, 12.429236111111111, 12.643518518518519, 12.894444444444444, 13.189583333333333, 13.230162037037037, 13.230324074074074, 13.364699074074075, 13.425462962962962, 13.43162037037037, 13.826851851851853, 13.897083333333333, 13.93449074074074, 14.520601851851852, 15.30787037037037, 15.337962962962964, 15.762384259259258, 16.504166666666666, 16.59351851851852, 18.007407407407406, 18.74074074074074, 18.833796296296295, 18.999074074074073, 19.962268518518517, 20.424467592592592, 20.63275462962963, 21.297685185185184, 21.731712962962963, 22.024074074074075, 22.903935185185187, 23.50115740740741, 23.69238425925926 ], "time_since_last_event": [ 0.0, 0.8372685185185185, 0.029861111111111113, 0.2222222222222222, 0.6802083333333333, 0.7260416666666667, 2.314351851851852, 0.6210648148148148, 0.7403935185185185, 0.001851851851851852, 0.025578703703703704, 0.7327546296296297, 0.2119212962962963, 1.387962962962963, 0.26342592592592595, 0.1701388888888889, 0.3263888888888889, 0.33912037037037035, 0.8083333333333333, 0.15393518518518517, 0.05347222222222222, 0.24375, 0.07152777777777777, 0.06388888888888888, 0.18472222222222223, 0.8302083333333333, 0.16145833333333334, 0.22738425925925926, 0.2142824074074074, 0.25092592592592594, 0.2951388888888889, 0.04057870370370371, 0.00016203703703703703, 0.134375, 0.06076388888888889, 0.0061574074074074074, 0.39523148148148146, 0.07023148148148148, 0.03740740740740741, 0.5861111111111111, 0.7872685185185185, 0.03009259259259259, 0.42442129629629627, 0.7417824074074074, 0.08935185185185185, 1.413888888888889, 0.7333333333333333, 0.09305555555555556, 0.16527777777777777, 0.9631944444444445, 0.46219907407407407, 0.20828703703703705, 0.6649305555555556, 0.4340277777777778, 0.2923611111111111, 0.8798611111111111, 0.5972222222222222, 0.19122685185185184 ], "type_event": [ 6, 0, 0, 0, 0, 7, 9, 0, 0, 0, 7, 0, 0, 7, 7, 9, 0, 6, 0, 0, 11, 0, 0, 0, 8, 0, 4, 11, 0, 0, 0, 7, 7, 6, 0, 7, 0, 0, 0, 0, 0, 7, 0, 0, 6, 11, 0, 0, 0, 0, 9, 0, 7, 4, 16, 0, 0, 7 ], "type_text": [ "Criminal Damage", "Theft", "Theft", "Theft", "Theft", "Battery", "Assault", "Theft", "Theft", "Theft", "Battery", "Theft", "Theft", "Battery", "Battery", "Assault", "Theft", "Criminal Damage", "Theft", "Theft", "Robbery", "Theft", "Theft", "Theft", "Other Offense", "Theft", "Motor Vehicle Theft", "Robbery", "Theft", "Theft", "Theft", "Battery", "Battery", "Criminal Damage", "Theft", "Battery", "Theft", "Theft", "Theft", "Theft", "Theft", "Battery", "Theft", "Theft", "Criminal Damage", "Robbery", "Theft", "Theft", "Theft", "Theft", "Assault", "Theft", "Battery", "Motor Vehicle Theft", "Narcotics", "Theft", "Theft", "Battery" ], "description": "The sequence of crime incidents shows a progression over time with a notable prevalence of thefts occurring throughout the entire timeline, particularly clustered in the earlier months. Battery incidents appear intermittently, with a slight increase in frequency around the middle of the timeline. Assaults and robberies are less frequent but emerge later in the sequence, while criminal damage incidents appear sporadically. Overall, there is a consistent trend of theft being the most reported crime, with other offenses like battery and assault appearing in clusters at various points." }, { "dim_process": 20, "seq_idx": 189, "seq_len": 30, "time_since_start": [ 0.0, 0.18930555555555556, 0.18988425925925925, 0.2586574074074074, 0.29050925925925924, 3.259097222222222, 3.294467592592593, 3.759675925925926, 4.060578703703704, 5.079560185185185, 8.18224537037037, 8.59, 8.743611111111111, 8.75087962962963, 9.426574074074074, 9.517777777777777, 9.620555555555555, 11.4025, 12.691273148148149, 13.32738425925926, 14.528888888888888, 15.22125, 15.396018518518519, 15.624027777777778, 18.84138888888889, 19.451689814814817, 20.52912037037037, 20.787222222222223, 21.027893518518518, 22.13900462962963 ], "time_since_last_event": [ 0.0, 0.18930555555555556, 0.0005787037037037037, 0.06877314814814815, 0.03185185185185185, 2.968587962962963, 0.03537037037037037, 0.46520833333333333, 0.3009027777777778, 1.0189814814814815, 3.102685185185185, 0.4077546296296296, 0.15361111111111111, 0.007268518518518519, 0.6756944444444445, 0.0912037037037037, 0.10277777777777777, 1.7819444444444446, 1.2887731481481481, 0.6361111111111111, 1.2015046296296297, 0.6923611111111111, 0.17476851851851852, 0.22800925925925927, 3.217361111111111, 0.6103009259259259, 1.0774305555555554, 0.25810185185185186, 0.2406712962962963, 1.1111111111111112 ], "type_event": [ 7, 9, 6, 7, 7, 9, 14, 9, 9, 5, 2, 9, 6, 6, 7, 2, 2, 6, 9, 9, 9, 3, 7, 7, 1, 0, 7, 7, 7, 11 ], "type_text": [ "Battery", "Assault", "Criminal Damage", "Battery", "Battery", "Assault", "Criminal Sexual Assault", "Assault", "Assault", "Criminal Trespass", "Sex Offense", "Assault", "Criminal Damage", "Criminal Damage", "Battery", "Sex Offense", "Sex Offense", "Criminal Damage", "Assault", "Assault", "Assault", "Deceptive Practice", "Battery", "Battery", "Weapons Violation", "Theft", "Battery", "Battery", "Battery", "Robbery" ], "description": "The sequence of crime incidents begins with battery and assault occurring in the initial months, followed by a mix of criminal damage and sexual offenses in the subsequent months. Assault incidents appear frequently, particularly clustered around the 3 to 14-month mark. As time progresses, there is a noticeable increase in the variety of crime types, including theft and robbery, which emerge later in the timeline. Battery remains a consistent type of incident throughout, with a notable concentration in the earlier and later months of the sequence." }, { "dim_process": 20, "seq_idx": 190, "seq_len": 48, "time_since_start": [ 0.0, 0.18472222222222223, 1.0585416666666667, 1.3520833333333333, 3.359722222222222, 3.811111111111111, 4.489166666666667, 5.170694444444444, 5.228472222222222, 5.491319444444445, 5.760925925925926, 6.200208333333333, 7.0575, 7.1836574074074075, 7.271527777777778, 7.464004629629629, 7.882638888888889, 8.721875, 9.345138888888888, 9.391087962962963, 9.79375, 10.277430555555556, 10.816041666666667, 12.06875, 12.322685185185184, 12.41875, 12.6875, 12.834027777777777, 13.017013888888888, 13.318171296296295, 13.324305555555556, 14.553819444444445, 14.963194444444444, 15.498449074074074, 16.74564814814815, 16.785416666666666, 17.30784722222222, 19.886319444444446, 20.061805555555555, 20.552083333333332, 20.588564814814816, 21.072453703703705, 21.41625, 21.420023148148147, 21.49648148148148, 22.84050925925926, 22.840972222222224, 23.760416666666668 ], "time_since_last_event": [ 0.0, 0.18472222222222223, 0.8738194444444445, 0.29354166666666665, 2.0076388888888888, 0.4513888888888889, 0.6780555555555555, 0.6815277777777777, 0.057777777777777775, 0.26284722222222223, 0.2696064814814815, 0.4392824074074074, 0.8572916666666667, 0.1261574074074074, 0.08787037037037038, 0.19247685185185184, 0.41863425925925923, 0.8392361111111111, 0.6232638888888888, 0.04594907407407407, 0.402662037037037, 0.48368055555555556, 0.5386111111111112, 1.2527083333333333, 0.2539351851851852, 0.09606481481481481, 0.26875, 0.14652777777777778, 0.1829861111111111, 0.30115740740740743, 0.0061342592592592594, 1.2295138888888888, 0.409375, 0.5352546296296297, 1.2471990740740742, 0.039768518518518516, 0.5224305555555555, 2.578472222222222, 0.17548611111111112, 0.49027777777777776, 0.03648148148148148, 0.48388888888888887, 0.3437962962962963, 0.0037731481481481483, 0.07645833333333334, 1.3440277777777778, 0.000462962962962963, 0.9194444444444444 ], "type_event": [ 6, 2, 8, 2, 10, 0, 1, 7, 6, 7, 1, 12, 7, 7, 6, 7, 3, 7, 3, 8, 10, 7, 7, 10, 7, 7, 0, 7, 7, 6, 8, 0, 3, 10, 3, 17, 9, 6, 7, 4, 0, 7, 6, 7, 7, 7, 7, 6 ], "type_text": [ "Criminal Damage", "Sex Offense", "Other Offense", "Sex Offense", "Burglary", "Theft", "Weapons Violation", "Battery", "Criminal Damage", "Battery", "Weapons Violation", "Arson", "Battery", "Battery", "Criminal Damage", "Battery", "Deceptive Practice", "Battery", "Deceptive Practice", "Other Offense", "Burglary", "Battery", "Battery", "Burglary", "Battery", "Battery", "Theft", "Battery", "Battery", "Criminal Damage", "Other Offense", "Theft", "Deceptive Practice", "Burglary", "Deceptive Practice", "Stalking", "Assault", "Criminal Damage", "Battery", "Motor Vehicle Theft", "Theft", "Battery", "Criminal Damage", "Battery", "Battery", "Battery", "Battery", "Criminal Damage" ], "description": "The sequence of crime incidents shows a progression over time, with various types of offenses occurring at different intervals. Initially, incidents of Criminal Damage and Sex Offenses are reported, followed by a mix of Other Offenses and property crimes like Burglary and Theft. A notable clustering of Battery incidents occurs in the later months, particularly between the 7th and 13th months, while Deceptive Practices and Criminal Damage also appear frequently in the latter part of the timeline. Overall, the data indicates that violent crimes, such as Battery, tend to increase in frequency as time progresses, while property crimes are more dispersed throughout the timeline." }, { "dim_process": 20, "seq_idx": 191, "seq_len": 42, "time_since_start": [ 0.0, 1.980162037037037, 1.9920833333333334, 2.5218287037037035, 3.524259259259259, 4.059560185185185, 4.214143518518519, 4.801689814814814, 5.223773148148148, 5.590671296296296, 6.301319444444444, 6.985949074074074, 7.566504629629629, 8.612337962962963, 10.469976851851852, 11.719282407407407, 11.722962962962963, 11.749837962962962, 12.050856481481482, 12.122337962962963, 12.122592592592593, 12.37900462962963, 12.40826388888889, 12.666527777777778, 13.127777777777778, 13.75699074074074, 13.80761574074074, 13.835972222222223, 14.058194444444444, 14.087546296296296, 14.099837962962964, 14.221157407407407, 14.356203703703704, 15.299837962962963, 16.283148148148147, 16.338726851851852, 17.087337962962962, 18.51335648148148, 19.678541666666668, 20.112337962962965, 20.492037037037036, 22.727013888888887 ], "time_since_last_event": [ 0.0, 1.980162037037037, 0.011921296296296296, 0.5297453703703704, 1.0024305555555555, 0.5353009259259259, 0.15458333333333332, 0.5875462962962963, 0.4220833333333333, 0.36689814814814814, 0.7106481481481481, 0.6846296296296296, 0.5805555555555556, 1.0458333333333334, 1.8576388888888888, 1.2493055555555554, 0.0036805555555555554, 0.026875, 0.3010185185185185, 0.07148148148148148, 0.0002546296296296296, 0.256412037037037, 0.02925925925925926, 0.2582638888888889, 0.46125, 0.6292129629629629, 0.050625, 0.028356481481481483, 0.2222222222222222, 0.02935185185185185, 0.012291666666666666, 0.12131944444444444, 0.1350462962962963, 0.9436342592592593, 0.9833101851851852, 0.05557870370370371, 0.7486111111111111, 1.4260185185185186, 1.165185185185185, 0.4337962962962963, 0.37969907407407405, 2.234976851851852 ], "type_event": [ 7, 0, 3, 7, 6, 6, 7, 7, 6, 3, 1, 8, 17, 6, 9, 3, 3, 3, 7, 3, 3, 3, 3, 2, 3, 7, 7, 7, 3, 3, 3, 3, 3, 3, 3, 11, 0, 7, 6, 2, 9, 1 ], "type_text": [ "Battery", "Theft", "Deceptive Practice", "Battery", "Criminal Damage", "Criminal Damage", "Battery", "Battery", "Criminal Damage", "Deceptive Practice", "Weapons Violation", "Other Offense", "Stalking", "Criminal Damage", "Assault", "Deceptive Practice", "Deceptive Practice", "Deceptive Practice", "Battery", "Deceptive Practice", "Deceptive Practice", "Deceptive Practice", "Deceptive Practice", "Sex Offense", "Deceptive Practice", "Battery", "Battery", "Battery", "Deceptive Practice", "Deceptive Practice", "Deceptive Practice", "Deceptive Practice", "Deceptive Practice", "Deceptive Practice", "Deceptive Practice", "Robbery", "Theft", "Battery", "Criminal Damage", "Sex Offense", "Assault", "Weapons Violation" ], "description": "The sequence of crime incidents shows a variety of crime types reported over time, with notable clustering of certain offenses. Initially, battery incidents occur early in the timeline, followed by theft and deceptive practices. As time progresses, there is a significant increase in the frequency of deceptive practices, particularly around the later months, while criminal damage and battery incidents also appear consistently throughout the sequence. The latter part of the timeline sees the introduction of sex offenses and weapons violations, indicating a diversification of crime types as the sequence unfolds." }, { "dim_process": 20, "seq_idx": 192, "seq_len": 31, "time_since_start": [ 0.0, 0.6630787037037037, 0.6892592592592592, 1.9658564814814814, 2.060416666666667, 2.359027777777778, 2.6206944444444447, 3.6305555555555555, 4.035185185185185, 4.291666666666667, 4.586759259259259, 6.204166666666667, 6.821527777777778, 7.25, 7.331018518518518, 7.985416666666667, 8.354976851851852, 8.425, 8.958333333333334, 13.455555555555556, 14.462037037037037, 15.706944444444444, 16.29627314814815, 17.558680555555554, 17.725694444444443, 18.34601851851852, 19.082638888888887, 20.286898148148147, 20.56574074074074, 20.921875, 21.488425925925927 ], "time_since_last_event": [ 0.0, 0.6630787037037037, 0.026180555555555554, 1.2765972222222222, 0.09456018518518519, 0.2986111111111111, 0.26166666666666666, 1.009861111111111, 0.4046296296296296, 0.2564814814814815, 0.2950925925925926, 1.6174074074074074, 0.6173611111111111, 0.4284722222222222, 0.08101851851851852, 0.6543981481481481, 0.3695601851851852, 0.07002314814814815, 0.5333333333333333, 4.497222222222222, 1.0064814814814815, 1.2449074074074074, 0.5893287037037037, 1.2624074074074074, 0.16701388888888888, 0.6203240740740741, 0.7366203703703704, 1.2042592592592594, 0.2788425925925926, 0.35613425925925923, 0.5665509259259259 ], "type_event": [ 0, 4, 0, 0, 9, 0, 1, 9, 4, 0, 1, 10, 9, 10, 7, 4, 18, 6, 0, 7, 16, 7, 0, 0, 6, 10, 0, 6, 4, 6, 0 ], "type_text": [ "Theft", "Motor Vehicle Theft", "Theft", "Theft", "Assault", "Theft", "Weapons Violation", "Assault", "Motor Vehicle Theft", "Theft", "Weapons Violation", "Burglary", "Assault", "Burglary", "Battery", "Motor Vehicle Theft", "Public Peace Violation", "Criminal Damage", "Theft", "Battery", "Narcotics", "Battery", "Theft", "Theft", "Criminal Damage", "Burglary", "Theft", "Criminal Damage", "Motor Vehicle Theft", "Criminal Damage", "Theft" ], "description": "The sequence of crime incidents shows a pattern where theft-related crimes occur frequently in the early months, with multiple occurrences clustered within the first few months. Assaults and weapons violations appear around the two to three-month mark, while motor vehicle thefts emerge later, particularly around the four to eight-month range. Burglary incidents start to appear after six months, with a notable increase in the following months. Towards the end of the sequence, there is a rise in criminal damage incidents, alongside continued occurrences of theft and battery. Overall, theft remains a consistent issue throughout, with other crime types emerging at various intervals." }, { "dim_process": 20, "seq_idx": 193, "seq_len": 60, "time_since_start": [ 0.0, 0.26875, 0.5769212962962963, 1.3328703703703704, 2.732800925925926, 3.0393981481481482, 3.208101851851852, 3.2944444444444443, 3.738888888888889, 4.079027777777778, 4.5375, 4.939814814814815, 5.006944444444445, 6.0055555555555555, 6.070138888888889, 6.4625, 6.4847222222222225, 6.573611111111111, 6.583726851851852, 7.192361111111111, 7.193078703703704, 7.378333333333333, 7.622222222222222, 8.396527777777777, 8.855902777777779, 9.139467592592593, 9.772314814814814, 10.16388888888889, 11.261111111111111, 12.432314814814815, 12.969444444444445, 13.070833333333333, 13.215555555555556, 13.606180555555556, 14.072222222222223, 14.184791666666667, 14.266435185185186, 14.427546296296295, 14.51875, 14.84099537037037, 15.158333333333333, 16.32638888888889, 16.53090277777778, 16.65138888888889, 16.79451388888889, 16.940277777777776, 16.940277777777776, 17.355324074074073, 17.927083333333332, 19.155555555555555, 19.45138888888889, 21.497430555555557, 21.523287037037036, 21.90773148148148, 23.401921296296297, 23.427430555555556, 23.519444444444446, 23.614583333333332, 23.766342592592594, 23.903472222222224 ], "time_since_last_event": [ 0.0, 0.26875, 0.3081712962962963, 0.7559490740740741, 1.3999305555555555, 0.30659722222222224, 0.16870370370370372, 0.0863425925925926, 0.4444444444444444, 0.3401388888888889, 0.4584722222222222, 0.4023148148148148, 0.06712962962962964, 0.9986111111111111, 0.06458333333333334, 0.3923611111111111, 0.022222222222222223, 0.08888888888888889, 0.010115740740740741, 0.6086342592592593, 0.0007175925925925926, 0.18525462962962963, 0.24388888888888888, 0.7743055555555556, 0.459375, 0.2835648148148148, 0.6328472222222222, 0.3915740740740741, 1.0972222222222223, 1.1712037037037037, 0.5371296296296296, 0.10138888888888889, 0.14472222222222222, 0.390625, 0.4660416666666667, 0.11256944444444444, 0.08164351851851852, 0.16111111111111112, 0.0912037037037037, 0.3222453703703704, 0.31733796296296296, 1.1680555555555556, 0.20451388888888888, 0.12048611111111111, 0.143125, 0.1457638888888889, 0.0, 0.4150462962962963, 0.5717592592592593, 1.2284722222222222, 0.29583333333333334, 2.0460416666666665, 0.02585648148148148, 0.3844444444444444, 1.4941898148148147, 0.02550925925925926, 0.0920138888888889, 0.09513888888888888, 0.15175925925925926, 0.13712962962962963 ], "type_event": [ 0, 0, 10, 6, 9, 2, 4, 13, 7, 7, 7, 9, 3, 6, 9, 14, 6, 7, 3, 6, 7, 6, 6, 7, 0, 0, 7, 6, 8, 3, 0, 18, 10, 11, 4, 5, 0, 3, 0, 4, 7, 0, 6, 7, 7, 4, 10, 7, 7, 3, 3, 7, 9, 9, 0, 8, 3, 7, 0, 7 ], "type_text": [ "Theft", "Theft", "Burglary", "Criminal Damage", "Assault", "Sex Offense", "Motor Vehicle Theft", "Offense Involving Children", "Battery", "Battery", "Battery", "Assault", "Deceptive Practice", "Criminal Damage", "Assault", "Criminal Sexual Assault", "Criminal Damage", "Battery", "Deceptive Practice", "Criminal Damage", "Battery", "Criminal Damage", "Criminal Damage", "Battery", "Theft", "Theft", "Battery", "Criminal Damage", "Other Offense", "Deceptive Practice", "Theft", "Public Peace Violation", "Burglary", "Robbery", "Motor Vehicle Theft", "Criminal Trespass", "Theft", "Deceptive Practice", "Theft", "Motor Vehicle Theft", "Battery", "Theft", "Criminal Damage", "Battery", "Battery", "Motor Vehicle Theft", "Burglary", "Battery", "Battery", "Deceptive Practice", "Deceptive Practice", "Battery", "Assault", "Assault", "Theft", "Other Offense", "Deceptive Practice", "Battery", "Theft", "Battery" ], "description": "The sequence of crime incidents shows a variety of crime types occurring over time, with notable clusters of events. Initially, thefts and a burglary are reported in the first few months, followed by a rise in violent offenses such as assault and battery in the subsequent months. Criminal damage incidents appear frequently, particularly in the middle of the timeline, alongside a consistent presence of thefts and batteries. Towards the later months, there is a noticeable increase in deceptive practices and repeated occurrences of theft and battery, indicating a pattern of certain crime types emerging more prominently as time progresses." }, { "dim_process": 20, "seq_idx": 194, "seq_len": 42, "time_since_start": [ 0.0, 1.7840277777777778, 1.8063657407407407, 2.7449305555555554, 5.349768518518519, 5.990277777777778, 6.058564814814815, 6.292222222222223, 8.291319444444444, 8.552893518518518, 8.657638888888888, 9.01875, 9.250694444444445, 10.051041666666666, 10.3125, 11.140277777777778, 11.229328703703704, 11.229375, 11.615925925925925, 13.338888888888889, 13.379861111111111, 14.36736111111111, 14.70486111111111, 14.864583333333334, 15.043287037037038, 15.417708333333334, 15.473611111111111, 16.536574074074075, 16.639375, 16.643657407407407, 16.961111111111112, 17.414583333333333, 17.976388888888888, 19.181527777777777, 19.488194444444446, 19.947916666666668, 20.117824074074075, 20.821527777777778, 21.945138888888888, 21.989768518518517, 22.19375, 22.237962962962964 ], "time_since_last_event": [ 0.0, 1.7840277777777778, 0.022337962962962962, 0.9385648148148148, 2.604837962962963, 0.6405092592592593, 0.06828703703703703, 0.2336574074074074, 1.9990972222222223, 0.26157407407407407, 0.10474537037037036, 0.3611111111111111, 0.23194444444444445, 0.8003472222222222, 0.26145833333333335, 0.8277777777777777, 0.08905092592592592, 4.6296296296296294e-05, 0.38655092592592594, 1.722962962962963, 0.04097222222222222, 0.9875, 0.3375, 0.1597222222222222, 0.1787037037037037, 0.3744212962962963, 0.05590277777777778, 1.0629629629629629, 0.10280092592592592, 0.0042824074074074075, 0.3174537037037037, 0.4534722222222222, 0.5618055555555556, 1.205138888888889, 0.30666666666666664, 0.4597222222222222, 0.1699074074074074, 0.7037037037037037, 1.1236111111111111, 0.04462962962962963, 0.20398148148148149, 0.04421296296296296 ], "type_event": [ 7, 8, 16, 7, 4, 11, 11, 0, 11, 11, 2, 9, 0, 4, 8, 7, 1, 1, 6, 7, 7, 4, 0, 4, 7, 4, 0, 11, 14, 4, 9, 0, 9, 7, 0, 0, 4, 4, 0, 9, 7, 7 ], "type_text": [ "Battery", "Other Offense", "Narcotics", "Battery", "Motor Vehicle Theft", "Robbery", "Robbery", "Theft", "Robbery", "Robbery", "Sex Offense", "Assault", "Theft", "Motor Vehicle Theft", "Other Offense", "Battery", "Weapons Violation", "Weapons Violation", "Criminal Damage", "Battery", "Battery", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Battery", "Motor Vehicle Theft", "Theft", "Robbery", "Criminal Sexual Assault", "Motor Vehicle Theft", "Assault", "Theft", "Assault", "Battery", "Theft", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Theft", "Assault", "Battery", "Battery" ], "description": "The sequence of crime incidents shows a varied pattern over time, with distinct clusters of certain crime types. Initially, battery incidents occur frequently in the early months, followed by a rise in other offenses and narcotics. As time progresses, there is a noticeable increase in motor vehicle thefts and robberies, particularly around the mid to late stages of the timeline. Additionally, theft incidents appear to cluster towards the latter part of the sequence, while assaults and weapons violations also emerge in the later months. Overall, the data reflects a trend where violent crimes and property crimes tend to occur in close succession, with certain types of offenses becoming more prevalent as time advances." }, { "dim_process": 20, "seq_idx": 195, "seq_len": 33, "time_since_start": [ 0.0, 0.029976851851851852, 0.27152777777777776, 1.2659722222222223, 1.9050925925925926, 2.06875, 2.2600694444444445, 2.3743055555555554, 2.490625, 2.8216435185185187, 2.8296296296296295, 3.017361111111111, 3.154166666666667, 3.6668055555555554, 3.855023148148148, 4.064583333333333, 4.252083333333333, 4.254166666666666, 6.571527777777778, 7.469444444444444, 7.498865740740741, 8.576875, 8.722916666666666, 9.166666666666666, 9.725347222222222, 10.01875, 15.426689814814814, 15.4625, 18.653240740740742, 19.03611111111111, 19.303472222222222, 20.270925925925926, 24.058888888888887 ], "time_since_last_event": [ 0.0, 0.029976851851851852, 0.24155092592592592, 0.9944444444444445, 0.6391203703703704, 0.16365740740740742, 0.19131944444444443, 0.11423611111111111, 0.11631944444444445, 0.33101851851851855, 0.00798611111111111, 0.18773148148148147, 0.13680555555555557, 0.5126388888888889, 0.1882175925925926, 0.20956018518518518, 0.1875, 0.0020833333333333333, 2.317361111111111, 0.8979166666666667, 0.029421296296296296, 1.0780092592592592, 0.14604166666666665, 0.44375, 0.5586805555555555, 0.2934027777777778, 5.407939814814815, 0.03581018518518519, 3.1907407407407407, 0.38287037037037036, 0.2673611111111111, 0.9674537037037036, 3.787962962962963 ], "type_event": [ 8, 3, 3, 0, 7, 7, 9, 7, 0, 9, 7, 7, 9, 5, 2, 7, 0, 6, 6, 7, 7, 9, 0, 5, 0, 9, 9, 0, 7, 16, 0, 19, 0 ], "type_text": [ "Other Offense", "Deceptive Practice", "Deceptive Practice", "Theft", "Battery", "Battery", "Assault", "Battery", "Theft", "Assault", "Battery", "Battery", "Assault", "Criminal Trespass", "Sex Offense", "Battery", "Theft", "Criminal Damage", "Criminal Damage", "Battery", "Battery", "Assault", "Theft", "Criminal Trespass", "Theft", "Assault", "Assault", "Theft", "Battery", "Narcotics", "Theft", "Homicide", "Theft" ], "description": "The sequence of crime incidents begins with other offenses and deceptive practices occurring within the first few months. As time progresses, there is a notable increase in battery and assault incidents, particularly between the second and third months. Theft incidents appear to cluster in the later months, with multiple occurrences noted after the 4-month mark. Criminal trespass and criminal damage events also emerge, with a significant spike in battery incidents observed in the latter part of the timeline. The sequence culminates in a homicide incident, followed by a final theft event." }, { "dim_process": 20, "seq_idx": 196, "seq_len": 33, "time_since_start": [ 0.0, 1.6513194444444443, 3.6012731481481484, 4.008680555555555, 4.337152777777778, 5.342777777777778, 6.482291666666667, 7.043402777777778, 7.974421296296296, 8.372569444444444, 8.661898148148149, 9.467708333333333, 10.012847222222222, 10.256666666666666, 11.314652777777777, 11.433680555555556, 11.67951388888889, 11.934722222222222, 12.034930555555556, 12.34363425925926, 13.03298611111111, 13.63726851851852, 13.853657407407407, 17.160439814814815, 18.410069444444446, 18.828819444444445, 18.831666666666667, 19.320324074074072, 19.976736111111112, 20.171180555555555, 20.201041666666665, 20.30462962962963, 21.371180555555554 ], "time_since_last_event": [ 0.0, 1.6513194444444443, 1.9499537037037038, 0.4074074074074074, 0.3284722222222222, 1.005625, 1.139513888888889, 0.5611111111111111, 0.9310185185185185, 0.39814814814814814, 0.2893287037037037, 0.8058101851851852, 0.5451388888888888, 0.24381944444444445, 1.057986111111111, 0.11902777777777777, 0.24583333333333332, 0.2552083333333333, 0.10020833333333333, 0.3087037037037037, 0.6893518518518519, 0.6042824074074075, 0.21638888888888888, 3.3067824074074075, 1.2496296296296296, 0.41875, 0.0028472222222222223, 0.48865740740740743, 0.656412037037037, 0.19444444444444445, 0.029861111111111113, 0.10358796296296297, 1.0665509259259258 ], "type_event": [ 7, 6, 0, 7, 9, 11, 10, 9, 7, 0, 0, 9, 7, 10, 7, 3, 0, 9, 10, 8, 0, 9, 10, 7, 4, 11, 9, 11, 0, 4, 0, 4, 6 ], "type_text": [ "Battery", "Criminal Damage", "Theft", "Battery", "Assault", "Robbery", "Burglary", "Assault", "Battery", "Theft", "Theft", "Assault", "Battery", "Burglary", "Battery", "Deceptive Practice", "Theft", "Assault", "Burglary", "Other Offense", "Theft", "Assault", "Burglary", "Battery", "Motor Vehicle Theft", "Robbery", "Assault", "Robbery", "Theft", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Criminal Damage" ], "description": "The sequence of crime incidents shows a varied pattern over time, with multiple types of offenses occurring throughout the observed period. Initially, incidents such as Battery and Criminal Damage appear relatively early, followed by a mix of Theft and Assault incidents that cluster around the mid-point of the timeline. As time progresses, there is a noticeable increase in the frequency of Theft and Motor Vehicle Theft incidents, particularly in the later months. Additionally, Burglary incidents are consistently reported, with some clustering towards the end of the sequence, indicating a trend of escalating property crimes as the timeline advances." }, { "dim_process": 20, "seq_idx": 197, "seq_len": 38, "time_since_start": [ 0.0, 0.7263888888888889, 2.1333333333333333, 2.3680555555555554, 3.602777777777778, 4.274537037037037, 4.959722222222222, 5.6715277777777775, 6.748611111111111, 6.752129629629629, 8.195115740740741, 8.906944444444445, 9.965277777777779, 10.069583333333334, 10.14861111111111, 10.180902777777778, 10.327569444444444, 10.470162037037037, 10.864814814814816, 12.091203703703703, 12.893055555555556, 13.073842592592593, 13.23613425925926, 13.85724537037037, 14.224490740740741, 14.393888888888888, 14.426736111111111, 15.369444444444444, 15.569097222222222, 15.575694444444444, 16.865277777777777, 17.594930555555557, 18.122222222222224, 18.35, 18.981944444444444, 19.018055555555556, 19.381458333333335, 19.895138888888887 ], "time_since_last_event": [ 0.0, 0.7263888888888889, 1.4069444444444446, 0.23472222222222222, 1.2347222222222223, 0.6717592592592593, 0.6851851851851852, 0.7118055555555556, 1.0770833333333334, 0.0035185185185185185, 1.442986111111111, 0.7118287037037037, 1.0583333333333333, 0.10430555555555555, 0.07902777777777778, 0.03229166666666667, 0.14666666666666667, 0.1425925925925926, 0.3946527777777778, 1.226388888888889, 0.8018518518518518, 0.18078703703703702, 0.16229166666666667, 0.6211111111111111, 0.36724537037037036, 0.16939814814814816, 0.03284722222222222, 0.9427083333333334, 0.1996527777777778, 0.006597222222222222, 1.2895833333333333, 0.7296527777777778, 0.5272916666666667, 0.22777777777777777, 0.6319444444444444, 0.03611111111111111, 0.3634027777777778, 0.5136805555555556 ], "type_event": [ 7, 7, 4, 9, 7, 9, 0, 0, 9, 9, 7, 0, 4, 7, 6, 7, 1, 1, 4, 6, 0, 0, 10, 19, 7, 8, 9, 0, 7, 7, 9, 9, 6, 4, 4, 4, 0, 4 ], "type_text": [ "Battery", "Battery", "Motor Vehicle Theft", "Assault", "Battery", "Assault", "Theft", "Theft", "Assault", "Assault", "Battery", "Theft", "Motor Vehicle Theft", "Battery", "Criminal Damage", "Battery", "Weapons Violation", "Weapons Violation", "Motor Vehicle Theft", "Criminal Damage", "Theft", "Theft", "Burglary", "Homicide", "Battery", "Other Offense", "Assault", "Theft", "Battery", "Battery", "Assault", "Assault", "Criminal Damage", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft" ], "description": "The sequence of crime incidents shows a pattern where battery incidents occur frequently in the early months, with multiple occurrences clustered together. Assaults appear consistently after the initial battery events, with a notable increase in frequency around the mid-point of the timeline. Motor vehicle theft incidents begin to emerge later in the sequence and increase in frequency towards the end, indicating a trend of rising theft-related crimes. Additionally, criminal damage and theft incidents are interspersed throughout, with some clustering observed in the later months. Overall, the sequence reflects a progression from primarily battery and assault incidents to a more diverse range of offenses, including a significant rise in motor vehicle theft as time advances." }, { "dim_process": 20, "seq_idx": 198, "seq_len": 35, "time_since_start": [ 0.0, 2.2380787037037035, 3.0481481481481483, 5.531828703703703, 5.548495370370371, 6.511458333333334, 7.147013888888889, 7.362060185185185, 7.408912037037037, 7.802662037037037, 8.060300925925926, 8.06585648148148, 8.06585648148148, 10.101967592592592, 10.550648148148149, 10.838078703703705, 11.807523148148148, 12.662847222222222, 13.301273148148148, 13.543842592592593, 13.700578703703703, 13.748634259259259, 13.755092592592593, 13.939467592592592, 15.638078703703703, 15.723842592592593, 15.810925925925925, 16.443171296296295, 16.807060185185186, 17.024189814814815, 17.47037037037037, 18.444791666666667, 19.911643518518517, 20.424606481481483, 20.46863425925926 ], "time_since_last_event": [ 0.0, 2.2380787037037035, 0.8100694444444444, 2.4836805555555554, 0.016666666666666666, 0.9629629629629629, 0.6355555555555555, 0.2150462962962963, 0.04685185185185185, 0.39375, 0.25763888888888886, 0.005555555555555556, 0.0, 2.036111111111111, 0.4486805555555556, 0.2874305555555556, 0.9694444444444444, 0.8553240740740741, 0.638425925925926, 0.24256944444444445, 0.1567361111111111, 0.04805555555555555, 0.006458333333333333, 0.184375, 1.698611111111111, 0.08576388888888889, 0.08708333333333333, 0.6322453703703703, 0.3638888888888889, 0.21712962962962962, 0.4461805555555556, 0.9744212962962963, 1.4668518518518519, 0.512962962962963, 0.04402777777777778 ], "type_event": [ 9, 0, 7, 10, 8, 7, 7, 0, 5, 4, 0, 13, 2, 11, 6, 0, 0, 7, 6, 1, 0, 0, 0, 4, 8, 5, 4, 7, 0, 0, 7, 7, 11, 7, 3 ], "type_text": [ "Assault", "Theft", "Battery", "Burglary", "Other Offense", "Battery", "Battery", "Theft", "Criminal Trespass", "Motor Vehicle Theft", "Theft", "Offense Involving Children", "Sex Offense", "Robbery", "Criminal Damage", "Theft", "Theft", "Battery", "Criminal Damage", "Weapons Violation", "Theft", "Theft", "Theft", "Motor Vehicle Theft", "Other Offense", "Criminal Trespass", "Motor Vehicle Theft", "Battery", "Theft", "Theft", "Battery", "Battery", "Robbery", "Battery", "Deceptive Practice" ], "description": "The sequence of crime incidents shows a varied pattern of occurrences over time, with a notable clustering of events around the 7 to 14-month mark. Initially, incidents such as assault and theft appear early in the timeline, followed by a mix of battery and theft incidents that peak around the 7 to 8-month period. As the timeline progresses, there is a noticeable increase in theft incidents, particularly between the 13 to 17-month range, alongside a consistent presence of battery offenses. The sequence concludes with a few distinct events, including robbery and deceptive practices occurring later in the timeline." }, { "dim_process": 20, "seq_idx": 199, "seq_len": 108, "time_since_start": [ 0.0, 0.48518518518518516, 1.0813194444444445, 2.8364583333333333, 2.957175925925926, 3.089351851851852, 3.269212962962963, 3.341435185185185, 3.4685185185185183, 3.528587962962963, 3.834490740740741, 3.9407407407407407, 4.383796296296296, 4.406712962962963, 4.6347453703703705, 5.099189814814815, 5.135185185185185, 5.5331018518518515, 5.973148148148148, 5.97824074074074, 6.168171296296296, 6.315763888888889, 6.331226851851852, 6.815740740740741, 7.544351851851852, 7.795532407407407, 8.688310185185186, 8.772222222222222, 8.931712962962964, 9.074074074074074, 9.113078703703703, 9.134490740740741, 9.16712962962963, 9.867939814814815, 9.93287037037037, 10.13136574074074, 10.635185185185184, 10.768958333333334, 10.906620370370371, 10.94275462962963, 10.947106481481482, 11.042060185185186, 11.104282407407407, 11.629166666666666, 11.722523148148149, 11.85601851851852, 11.883796296296296, 11.95298611111111, 12.070162037037036, 12.343518518518518, 12.351851851851851, 12.374768518518518, 12.382407407407408, 12.390162037037037, 12.505324074074075, 12.58300925925926, 12.617314814814815, 12.805324074074074, 12.808564814814815, 13.271296296296295, 13.314351851851852, 13.829398148148147, 14.504398148148148, 14.740856481481481, 15.001273148148147, 15.032800925925926, 15.135185185185184, 15.16851851851852, 15.19912037037037, 15.269907407407407, 15.632175925925926, 15.749351851851852, 15.757407407407408, 15.89699074074074, 15.901851851851852, 15.938657407407407, 16.40511574074074, 16.584791666666668, 16.592476851851853, 16.667106481481483, 17.03935185185185, 17.36574074074074, 17.82974537037037, 17.86976851851852, 17.98349537037037, 18.69560185185185, 18.837962962962962, 18.92685185185185, 19.011967592592594, 19.152199074074073, 19.380671296296295, 19.997685185185187, 20.39849537037037, 20.565671296296298, 20.569444444444443, 20.671296296296298, 20.740046296296295, 20.844212962962963, 20.97476851851852, 20.994907407407407, 21.24240740740741, 21.436226851851853, 21.48935185185185, 21.888657407407408, 21.996296296296297, 22.27988425925926, 23.586597222222224, 23.798703703703705 ], "time_since_last_event": [ 0.0, 0.48518518518518516, 0.5961342592592592, 1.7551388888888888, 0.1207175925925926, 0.13217592592592592, 0.1798611111111111, 0.07222222222222222, 0.12708333333333333, 0.060069444444444446, 0.3059027777777778, 0.10625, 0.44305555555555554, 0.022916666666666665, 0.2280324074074074, 0.46444444444444444, 0.03599537037037037, 0.39791666666666664, 0.44004629629629627, 0.005092592592592593, 0.18993055555555555, 0.14759259259259258, 0.015462962962962963, 0.4845138888888889, 0.7286111111111111, 0.2511805555555556, 0.8927777777777778, 0.08391203703703703, 0.15949074074074074, 0.1423611111111111, 0.03900462962962963, 0.02141203703703704, 0.03263888888888889, 0.7008101851851852, 0.06493055555555556, 0.19849537037037038, 0.5038194444444445, 0.13377314814814814, 0.13766203703703703, 0.03613425925925926, 0.0043518518518518515, 0.0949537037037037, 0.06222222222222222, 0.5248842592592593, 0.09335648148148148, 0.13349537037037038, 0.027777777777777776, 0.06918981481481482, 0.11717592592592592, 0.2733564814814815, 0.008333333333333333, 0.022916666666666665, 0.007638888888888889, 0.0077546296296296295, 0.11516203703703703, 0.07768518518518519, 0.034305555555555554, 0.18800925925925926, 0.0032407407407407406, 0.46273148148148147, 0.043055555555555555, 0.5150462962962963, 0.675, 0.23645833333333333, 0.2604166666666667, 0.03152777777777778, 0.10238425925925926, 0.03333333333333333, 0.030601851851851852, 0.07078703703703704, 0.36226851851851855, 0.11717592592592592, 0.008055555555555555, 0.13958333333333334, 0.004861111111111111, 0.03680555555555556, 0.4664583333333333, 0.17967592592592593, 0.0076851851851851855, 0.07462962962962963, 0.37224537037037037, 0.3263888888888889, 0.46400462962962963, 0.04002314814814815, 0.11372685185185186, 0.7121064814814815, 0.1423611111111111, 0.08888888888888889, 0.08511574074074074, 0.14023148148148148, 0.22847222222222222, 0.6170138888888889, 0.4008101851851852, 0.16717592592592592, 0.0037731481481481483, 0.10185185185185185, 0.06875, 0.10416666666666667, 0.13055555555555556, 0.02013888888888889, 0.2475, 0.19381944444444443, 0.053125, 0.3993055555555556, 0.1076388888888889, 0.28358796296296296, 1.306712962962963, 0.21210648148148148 ], "type_event": [ 3, 6, 16, 0, 11, 6, 0, 0, 0, 6, 3, 0, 0, 0, 18, 0, 7, 0, 7, 0, 0, 4, 9, 6, 9, 5, 6, 9, 0, 7, 8, 3, 6, 6, 6, 6, 0, 9, 6, 7, 6, 7, 7, 7, 6, 6, 6, 6, 0, 11, 6, 0, 6, 6, 0, 6, 6, 0, 0, 6, 6, 11, 8, 7, 6, 7, 0, 3, 6, 0, 0, 11, 7, 6, 0, 0, 6, 6, 6, 7, 0, 0, 0, 7, 1, 9, 3, 6, 7, 6, 6, 0, 0, 9, 4, 0, 0, 0, 6, 7, 2, 0, 6, 10, 7, 7, 10, 7 ], "type_text": [ "Deceptive Practice", "Criminal Damage", "Narcotics", "Theft", "Robbery", "Criminal Damage", "Theft", "Theft", "Theft", "Criminal Damage", "Deceptive Practice", "Theft", "Theft", "Theft", "Public Peace Violation", "Theft", "Battery", "Theft", "Battery", "Theft", "Theft", "Motor Vehicle Theft", "Assault", "Criminal Damage", "Assault", "Criminal Trespass", "Criminal Damage", "Assault", "Theft", "Battery", "Other Offense", "Deceptive Practice", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Theft", "Assault", "Criminal Damage", "Battery", "Criminal Damage", "Battery", "Battery", "Battery", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Theft", "Robbery", "Criminal Damage", "Theft", "Criminal Damage", "Criminal Damage", "Theft", "Criminal Damage", "Criminal Damage", "Theft", "Theft", "Criminal Damage", "Criminal Damage", "Robbery", "Other Offense", "Battery", "Criminal Damage", "Battery", "Theft", "Deceptive Practice", "Criminal Damage", "Theft", "Theft", "Robbery", "Battery", "Criminal Damage", "Theft", "Theft", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Battery", "Theft", "Theft", "Theft", "Battery", "Weapons Violation", "Assault", "Deceptive Practice", "Criminal Damage", "Battery", "Criminal Damage", "Criminal Damage", "Theft", "Theft", "Assault", "Motor Vehicle Theft", "Theft", "Theft", "Theft", "Criminal Damage", "Battery", "Sex Offense", "Theft", "Criminal Damage", "Burglary", "Battery", "Battery", "Burglary", "Battery" ], "description": "The sequence of crime incidents shows a progression of various crime types over time, with notable clustering of specific offenses. Initially, incidents such as Deceptive Practice and Criminal Damage occur, followed by a rise in Theft incidents that dominate the middle period. Towards the later months, there is an increase in Battery and Criminal Damage offenses, along with a few instances of Assault and Robbery. Overall, Theft appears to be the most frequent crime type, with Criminal Damage also consistently reported throughout the timeline." }, { "dim_process": 20, "seq_idx": 200, "seq_len": 41, "time_since_start": [ 0.0, 0.07039351851851852, 1.7341666666666666, 1.9207407407407406, 2.483587962962963, 2.937060185185185, 3.5727546296296295, 3.6038657407407406, 3.7203935185185184, 4.045740740740741, 4.1176157407407405, 4.67224537037037, 4.974560185185185, 5.067615740740741, 5.908935185185185, 7.211134259259259, 7.409050925925926, 7.632662037037037, 7.824560185185185, 10.485324074074073, 10.933078703703703, 10.97849537037037, 11.874560185185185, 12.252337962962963, 12.719814814814814, 13.071203703703704, 13.072152777777777, 13.45150462962963, 13.89087962962963, 14.100717592592593, 14.349027777777778, 14.973865740740742, 17.30636574074074, 17.582893518518517, 18.07872685185185, 19.142083333333332, 19.458587962962962, 19.66726851851852, 20.748171296296295, 21.481689814814814, 23.36136574074074 ], "time_since_last_event": [ 0.0, 0.07039351851851852, 1.6637731481481481, 0.1865740740740741, 0.5628472222222223, 0.4534722222222222, 0.6356944444444445, 0.03111111111111111, 0.11652777777777777, 0.32534722222222223, 0.071875, 0.5546296296296296, 0.3023148148148148, 0.09305555555555556, 0.8413194444444444, 1.302199074074074, 0.19791666666666666, 0.22361111111111112, 0.19189814814814815, 2.660763888888889, 0.44775462962962964, 0.04541666666666667, 0.8960648148148148, 0.37777777777777777, 0.46747685185185184, 0.35138888888888886, 0.0009490740740740741, 0.37935185185185183, 0.439375, 0.20983796296296298, 0.2483101851851852, 0.624837962962963, 2.3325, 0.27652777777777776, 0.49583333333333335, 1.0633564814814815, 0.3165046296296296, 0.20868055555555556, 1.0809027777777778, 0.7335185185185186, 1.879675925925926 ], "type_event": [ 9, 6, 7, 0, 9, 7, 11, 11, 9, 11, 11, 6, 3, 4, 0, 9, 7, 6, 0, 1, 9, 7, 7, 9, 9, 0, 1, 3, 11, 7, 16, 4, 1, 11, 7, 0, 11, 11, 4, 6, 6 ], "type_text": [ "Assault", "Criminal Damage", "Battery", "Theft", "Assault", "Battery", "Robbery", "Robbery", "Assault", "Robbery", "Robbery", "Criminal Damage", "Deceptive Practice", "Motor Vehicle Theft", "Theft", "Assault", "Battery", "Criminal Damage", "Theft", "Weapons Violation", "Assault", "Battery", "Battery", "Assault", "Assault", "Theft", "Weapons Violation", "Deceptive Practice", "Robbery", "Battery", "Narcotics", "Motor Vehicle Theft", "Weapons Violation", "Robbery", "Battery", "Theft", "Robbery", "Robbery", "Motor Vehicle Theft", "Criminal Damage", "Criminal Damage" ], "description": "The sequence of crime incidents shows a variety of crime types occurring over time, with certain patterns emerging. Initially, assaults and criminal damage are reported, followed by a mix of battery and theft incidents. Robberies begin to cluster around the 3 to 5-month mark, while motor vehicle thefts appear later in the sequence. As time progresses, there is a noticeable increase in the frequency of weapons violations and a resurgence of criminal damage incidents towards the end of the timeline. Overall, the data indicates that violent crimes tend to occur earlier, while property crimes and specific violations appear more prominently in the latter months." }, { "dim_process": 20, "seq_idx": 201, "seq_len": 116, "time_since_start": [ 0.0, 1.2020833333333334, 2.058333333333333, 2.354861111111111, 2.833449074074074, 2.8636805555555553, 3.0905092592592593, 3.261111111111111, 3.3194444444444446, 3.5284722222222222, 3.6944444444444446, 4.255324074074074, 4.462685185185185, 4.465740740740741, 4.496180555555555, 5.2, 5.364282407407408, 5.397222222222222, 5.427546296296296, 5.490185185185185, 5.525925925925926, 6.124953703703704, 6.43125, 6.563194444444444, 6.566319444444445, 6.761805555555555, 6.831944444444445, 7.26525462962963, 7.454513888888889, 7.463888888888889, 7.531828703703703, 7.671944444444445, 7.713240740740741, 8.16650462962963, 8.198958333333334, 8.294444444444444, 8.390277777777778, 8.634953703703705, 8.685648148148148, 9.361759259259259, 9.598263888888889, 10.03125, 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21.46388888888889, 21.471759259259258, 21.966666666666665, 22.18037037037037, 22.195138888888888, 22.227337962962963, 22.352083333333333, 22.42361111111111, 22.66574074074074, 22.688425925925927, 22.69988425925926, 23.165277777777778, 23.22361111111111, 23.224305555555556, 23.621898148148148, 23.799305555555556, 23.826435185185186, 24.029166666666665, 24.03263888888889, 24.033101851851853, 24.064583333333335, 24.30034722222222 ], "time_since_last_event": [ 0.0, 1.2020833333333334, 0.85625, 0.2965277777777778, 0.47858796296296297, 0.03023148148148148, 0.2268287037037037, 0.17060185185185187, 0.058333333333333334, 0.20902777777777778, 0.16597222222222222, 0.5608796296296297, 0.2073611111111111, 0.0030555555555555557, 0.030439814814814815, 0.7038194444444444, 0.1642824074074074, 0.03293981481481482, 0.030324074074074073, 0.06263888888888888, 0.03574074074074074, 0.5990277777777778, 0.3062962962962963, 0.13194444444444445, 0.003125, 0.1954861111111111, 0.07013888888888889, 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0.00037037037037037035, 0.03287037037037037, 0.1996527777777778, 0.4709027777777778, 0.7284027777777777, 0.2375, 0.058912037037037034, 0.053125, 0.08217592592592593, 0.3730787037037037, 0.06752314814814815, 0.4887962962962963, 0.010763888888888889, 0.026041666666666668, 0.0005324074074074074, 0.30918981481481483, 0.0016666666666666668, 0.09284722222222222, 0.2349074074074074, 0.46502314814814816, 0.00787037037037037, 0.4949074074074074, 0.2137037037037037, 0.01476851851851852, 0.032199074074074074, 0.12474537037037037, 0.07152777777777777, 0.24212962962962964, 0.022685185185185187, 0.011458333333333333, 0.4653935185185185, 0.058333333333333334, 0.0006944444444444445, 0.3975925925925926, 0.1774074074074074, 0.02712962962962963, 0.20273148148148148, 0.003472222222222222, 0.000462962962962963, 0.03148148148148148, 0.23576388888888888 ], "type_event": [ 0, 0, 4, 0, 6, 19, 7, 4, 7, 3, 0, 7, 1, 7, 0, 6, 1, 0, 7, 9, 9, 7, 7, 7, 7, 0, 9, 7, 9, 0, 7, 11, 2, 7, 7, 0, 4, 11, 3, 3, 11, 0, 0, 7, 7, 7, 7, 0, 0, 7, 0, 4, 18, 0, 7, 7, 7, 7, 0, 0, 7, 3, 9, 2, 4, 11, 7, 4, 11, 3, 0, 0, 8, 8, 7, 7, 7, 3, 7, 3, 6, 0, 0, 3, 7, 6, 0, 11, 0, 3, 10, 10, 1, 7, 9, 0, 7, 0, 0, 9, 7, 5, 7, 7, 10, 0, 0, 0, 9, 0, 7, 0, 7, 0, 3, 9 ], "type_text": [ "Theft", "Theft", "Motor Vehicle Theft", "Theft", "Criminal Damage", "Homicide", "Battery", "Motor Vehicle Theft", "Battery", "Deceptive Practice", "Theft", "Battery", "Weapons Violation", "Battery", "Theft", "Criminal Damage", "Weapons Violation", "Theft", "Battery", "Assault", "Assault", "Battery", "Battery", "Battery", "Battery", "Theft", "Assault", "Battery", "Assault", "Theft", "Battery", "Robbery", "Sex Offense", "Battery", "Battery", "Theft", "Motor Vehicle Theft", "Robbery", "Deceptive Practice", "Deceptive Practice", "Robbery", "Theft", "Theft", "Battery", "Battery", "Battery", "Battery", "Theft", "Theft", "Battery", "Theft", "Motor Vehicle Theft", "Public Peace Violation", "Theft", "Battery", "Battery", "Battery", "Battery", "Theft", "Theft", "Battery", "Deceptive Practice", "Assault", "Sex Offense", "Motor Vehicle Theft", "Robbery", "Battery", "Motor Vehicle Theft", "Robbery", "Deceptive Practice", "Theft", "Theft", "Other Offense", "Other Offense", "Battery", "Battery", "Battery", "Deceptive Practice", "Battery", "Deceptive Practice", "Criminal Damage", "Theft", "Theft", "Deceptive Practice", "Battery", "Criminal Damage", "Theft", "Robbery", "Theft", "Deceptive Practice", "Burglary", "Burglary", "Weapons Violation", "Battery", "Assault", "Theft", "Battery", "Theft", "Theft", "Assault", "Battery", "Criminal Trespass", "Battery", "Battery", "Burglary", "Theft", "Theft", "Theft", "Assault", "Theft", "Battery", "Theft", "Battery", "Theft", "Deceptive Practice", "Assault" ], "description": "The sequence of crime incidents in the block shows a gradual increase in the frequency and variety of crimes over time. Theft incidents appear consistently throughout the timeline, often clustered in the earlier months, while violent crimes such as battery and assault become more prevalent in the later months. Motor vehicle thefts and robberies also emerge as notable crime types, with several occurrences concentrated in the middle to later stages of the timeline. Deceptive practices are reported intermittently, with a noticeable increase towards the end of the sequence, indicating a trend of rising complexity in the types of crimes reported." }, { "dim_process": 20, "seq_idx": 202, "seq_len": 35, "time_since_start": [ 0.0, 0.028287037037037038, 1.725439814814815, 5.399861111111111, 5.405347222222222, 6.213287037037037, 6.399837962962963, 6.950787037037037, 7.099398148148148, 7.954097222222222, 7.958425925925926, 8.198703703703703, 8.48550925925926, 8.486875, 9.21398148148148, 9.259583333333333, 9.469467592592592, 9.519537037037036, 11.636527777777777, 13.163564814814816, 13.305578703703704, 13.702175925925927, 16.665023148148148, 17.816064814814816, 18.200092592592593, 18.37439814814815, 18.802824074074074, 19.084814814814816, 19.19175925925926, 19.58851851851852, 20.70252314814815, 21.66814814814815, 22.204953703703705, 22.436550925925925, 23.171944444444446 ], "time_since_last_event": [ 0.0, 0.028287037037037038, 1.6971527777777777, 3.674421296296296, 0.005486111111111111, 0.8079398148148148, 0.18655092592592593, 0.5509490740740741, 0.1486111111111111, 0.8546990740740741, 0.0043287037037037035, 0.24027777777777778, 0.28680555555555554, 0.0013657407407407407, 0.7271064814814815, 0.04560185185185185, 0.20988425925925927, 0.050069444444444444, 2.1169907407407407, 1.527037037037037, 0.14201388888888888, 0.3965972222222222, 2.9628472222222224, 1.1510416666666667, 0.3840277777777778, 0.17430555555555555, 0.42842592592592593, 0.28199074074074076, 0.10694444444444444, 0.39675925925925926, 1.1140046296296295, 0.965625, 0.5368055555555555, 0.23159722222222223, 0.7353935185185185 ], "type_event": [ 7, 0, 7, 9, 7, 0, 3, 4, 4, 7, 10, 4, 4, 7, 0, 8, 6, 6, 7, 9, 7, 6, 8, 7, 4, 6, 7, 6, 4, 8, 4, 7, 6, 8, 0 ], "type_text": [ "Battery", "Theft", "Battery", "Assault", "Battery", "Theft", "Deceptive Practice", "Motor Vehicle Theft", "Motor Vehicle Theft", "Battery", "Burglary", "Motor Vehicle Theft", "Motor Vehicle Theft", "Battery", "Theft", "Other Offense", "Criminal Damage", "Criminal Damage", "Battery", "Assault", "Battery", "Criminal Damage", "Other Offense", "Battery", "Motor Vehicle Theft", "Criminal Damage", "Battery", "Criminal Damage", "Motor Vehicle Theft", "Other Offense", "Motor Vehicle Theft", "Battery", "Criminal Damage", "Other Offense", "Theft" ], "description": "The sequence of crime incidents begins with battery and theft occurring within the first month, followed by additional batteries and an assault several months later. As time progresses, there is a notable increase in motor vehicle thefts and criminal damage incidents, particularly clustered around the 6 to 20-month mark. Battery incidents appear consistently throughout the timeline, while other offenses and thefts tend to emerge more frequently in the later months, indicating a shift in the types of crimes reported as time advances." }, { "dim_process": 20, "seq_idx": 203, "seq_len": 37, "time_since_start": [ 0.0, 1.073726851851852, 2.7202546296296295, 3.2105324074074075, 4.136921296296296, 5.541782407407408, 5.608449074074074, 7.054282407407407, 7.9751157407407405, 8.459837962962963, 9.71099537037037, 9.932060185185184, 10.90289351851852, 11.570578703703704, 12.319560185185185, 12.88900462962963, 13.454699074074075, 13.986226851851852, 14.51863425925926, 15.730787037037038, 16.083912037037038, 16.455671296296295, 17.241782407407406, 17.27233796296296, 17.77025462962963, 18.158449074074074, 18.27511574074074, 18.323726851851852, 19.08861111111111, 19.222337962962964, 20.495856481481482, 20.621643518518518, 20.89872685185185, 20.89872685185185, 21.998032407407408, 22.408449074074074, 22.57210648148148 ], "time_since_last_event": [ 0.0, 1.073726851851852, 1.6465277777777778, 0.49027777777777776, 0.9263888888888889, 1.4048611111111111, 0.06666666666666667, 1.4458333333333333, 0.9208333333333333, 0.4847222222222222, 1.2511574074074074, 0.22106481481481483, 0.9708333333333333, 0.6676851851851852, 0.7489814814814815, 0.5694444444444444, 0.5656944444444445, 0.5315277777777778, 0.5324074074074074, 1.2121527777777779, 0.353125, 0.37175925925925923, 0.7861111111111111, 0.030555555555555555, 0.4979166666666667, 0.38819444444444445, 0.11666666666666667, 0.04861111111111111, 0.7648842592592593, 0.13372685185185185, 1.2735185185185185, 0.12578703703703703, 0.27708333333333335, 0.0, 1.0993055555555555, 0.41041666666666665, 0.16365740740740742 ], "type_event": [ 5, 0, 0, 0, 4, 3, 3, 3, 4, 3, 8, 4, 3, 8, 0, 3, 0, 3, 0, 6, 0, 4, 3, 6, 0, 3, 3, 3, 7, 0, 0, 10, 0, 3, 8, 0, 7 ], "type_text": [ "Criminal Trespass", "Theft", "Theft", "Theft", "Motor Vehicle Theft", "Deceptive Practice", "Deceptive Practice", "Deceptive Practice", "Motor Vehicle Theft", "Deceptive Practice", "Other Offense", "Motor Vehicle Theft", "Deceptive Practice", "Other Offense", "Theft", "Deceptive Practice", "Theft", "Deceptive Practice", "Theft", "Criminal Damage", "Theft", "Motor Vehicle Theft", "Deceptive Practice", "Criminal Damage", "Theft", "Deceptive Practice", "Deceptive Practice", "Deceptive Practice", "Battery", "Theft", "Theft", "Burglary", "Theft", "Deceptive Practice", "Other Offense", "Theft", "Battery" ], "description": "The sequence of crime incidents shows a progression over time with notable clusters of specific crime types. Initially, criminal trespass and thefts occur within the first few months, followed by a rise in deceptive practices and motor vehicle thefts around the mid-point of the timeline. As the sequence continues, theft remains a prevalent crime type, frequently appearing alongside deceptive practices. Towards the end of the timeline, other offenses and battery incidents emerge, indicating a shift in the types of crimes reported as time progresses. Overall, theft and deceptive practices dominate the earlier months, while other offenses and battery appear later in the sequence." }, { "dim_process": 20, "seq_idx": 204, "seq_len": 31, "time_since_start": [ 0.0, 0.3096990740740741, 1.9261574074074075, 2.8342592592592593, 2.894212962962963, 2.932476851851852, 2.9342592592592593, 3.059953703703704, 4.230555555555555, 5.744675925925926, 6.336203703703704, 6.7012731481481485, 8.06412037037037, 8.128472222222221, 9.074097222222223, 11.010046296296297, 11.011342592592593, 11.106481481481481, 12.400925925925925, 12.66550925925926, 13.544351851851852, 15.008912037037037, 15.329976851851852, 17.87664351851852, 18.60127314814815, 19.298055555555557, 19.35439814814815, 21.02523148148148, 21.06365740740741, 21.06365740740741, 21.093194444444446 ], "time_since_last_event": [ 0.0, 0.3096990740740741, 1.6164583333333333, 0.9081018518518519, 0.059953703703703703, 0.03826388888888889, 0.0017824074074074075, 0.12569444444444444, 1.170601851851852, 1.5141203703703703, 0.5915277777777778, 0.36506944444444445, 1.3628472222222223, 0.06435185185185185, 0.945625, 1.9359490740740741, 0.0012962962962962963, 0.09513888888888888, 1.2944444444444445, 0.26458333333333334, 0.8788425925925926, 1.4645601851851853, 0.3210648148148148, 2.546666666666667, 0.7246296296296296, 0.6967824074074074, 0.05634259259259259, 1.6708333333333334, 0.038425925925925926, 0.0, 0.02953703703703704 ], "type_event": [ 0, 7, 0, 0, 0, 0, 0, 0, 6, 4, 0, 0, 0, 0, 7, 7, 6, 6, 0, 8, 5, 10, 0, 3, 3, 3, 0, 4, 0, 3, 0 ], "type_text": [ "Theft", "Battery", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Criminal Damage", "Motor Vehicle Theft", "Theft", "Theft", "Theft", "Theft", "Battery", "Battery", "Criminal Damage", "Criminal Damage", "Theft", "Other Offense", "Criminal Trespass", "Burglary", "Theft", "Deceptive Practice", "Deceptive Practice", "Deceptive Practice", "Theft", "Motor Vehicle Theft", "Theft", "Deceptive Practice", "Theft" ], "description": "The sequence of crime incidents begins with a theft, followed by a battery incident shortly after. Over the following months, thefts become the most frequent type of crime, peaking around the third month with multiple occurrences clustered closely together. After a period of varied incidents, including criminal damage and motor vehicle theft, the trend shifts towards deceptive practices and additional thefts in the later months. Overall, thefts dominate the early to mid-sequence, while other crime types emerge more sporadically throughout the timeline." }, { "dim_process": 20, "seq_idx": 205, "seq_len": 36, "time_since_start": [ 0.0, 0.8904166666666666, 1.2897222222222222, 1.4695833333333332, 2.0949305555555555, 2.5306944444444444, 3.370972222222222, 3.8475, 3.968935185185185, 4.053912037037037, 4.930694444444445, 5.180694444444445, 5.6204629629629625, 6.5529166666666665, 6.814027777777778, 7.8973148148148145, 7.957083333333333, 8.220972222222223, 8.602916666666667, 8.79111111111111, 9.888449074074074, 10.454305555555555, 10.705810185185186, 11.669606481481482, 12.556944444444444, 12.964027777777778, 13.494583333333333, 13.729976851851852, 14.390393518518518, 15.749791666666667, 17.188217592592594, 17.735185185185184, 17.854305555555555, 18.78625, 18.93627314814815, 19.03763888888889 ], "time_since_last_event": [ 0.0, 0.8904166666666666, 0.3993055555555556, 0.1798611111111111, 0.6253472222222223, 0.4357638888888889, 0.8402777777777778, 0.4765277777777778, 0.12143518518518519, 0.08497685185185185, 0.8767824074074074, 0.25, 0.4397685185185185, 0.9324537037037037, 0.2611111111111111, 1.083287037037037, 0.05976851851851852, 0.2638888888888889, 0.3819444444444444, 0.18819444444444444, 1.097337962962963, 0.5658564814814815, 0.2515046296296296, 0.9637962962962963, 0.887337962962963, 0.40708333333333335, 0.5305555555555556, 0.23539351851851853, 0.6604166666666667, 1.359398148148148, 1.438425925925926, 0.5469675925925926, 0.11912037037037038, 0.9319444444444445, 0.15002314814814816, 0.10136574074074074 ], "type_event": [ 7, 0, 9, 9, 6, 9, 7, 9, 7, 16, 9, 8, 7, 0, 0, 4, 14, 0, 8, 3, 3, 1, 7, 7, 6, 7, 0, 18, 6, 0, 3, 7, 4, 0, 10, 0 ], "type_text": [ "Battery", "Theft", "Assault", "Assault", "Criminal Damage", "Assault", "Battery", "Assault", "Battery", "Narcotics", "Assault", "Other Offense", "Battery", "Theft", "Theft", "Motor Vehicle Theft", "Criminal Sexual Assault", "Theft", "Other Offense", "Deceptive Practice", "Deceptive Practice", "Weapons Violation", "Battery", "Battery", "Criminal Damage", "Battery", "Theft", "Public Peace Violation", "Criminal Damage", "Theft", "Deceptive Practice", "Battery", "Motor Vehicle Theft", "Theft", "Burglary", "Theft" ], "description": "The sequence of crime incidents shows a pattern where battery and assault incidents occur frequently in the early months, with theft starting to appear shortly after. As time progresses, theft begins to dominate the later months, particularly with multiple incidents clustered around the 6 to 19-month mark. Additionally, there are instances of criminal damage and motor vehicle theft that appear intermittently throughout the sequence, while other offenses and deceptive practices also emerge later on. Overall, the trend indicates an initial prevalence of violent crimes, followed by a shift towards property crimes as time advances." }, { "dim_process": 20, "seq_idx": 206, "seq_len": 32, "time_since_start": [ 0.0, 0.7279398148148148, 1.06625, 1.7895138888888888, 3.232222222222222, 3.524236111111111, 7.033032407407408, 7.1582638888888885, 7.424236111111111, 7.432916666666666, 7.433032407407407, 8.857569444444444, 9.51173611111111, 9.821458333333334, 10.232337962962964, 10.845069444444444, 11.545069444444444, 11.561944444444444, 11.899236111111112, 12.960347222222222, 14.825625, 15.332916666666666, 15.561041666666666, 16.033148148148147, 16.058958333333333, 16.757407407407406, 17.295532407407407, 18.714282407407406, 19.207106481481482, 19.59958333333333, 20.37840277777778, 21.496967592592593 ], "time_since_last_event": [ 0.0, 0.7279398148148148, 0.3383101851851852, 0.7232638888888889, 1.4427083333333333, 0.2920138888888889, 3.508796296296296, 0.12523148148148147, 0.2659722222222222, 0.008680555555555556, 0.00011574074074074075, 1.424537037037037, 0.6541666666666667, 0.30972222222222223, 0.41087962962962965, 0.6127314814814815, 0.7, 0.016875, 0.33729166666666666, 1.0611111111111111, 1.8652777777777778, 0.5072916666666667, 0.228125, 0.4721064814814815, 0.025810185185185186, 0.6984490740740741, 0.538125, 1.41875, 0.4928240740740741, 0.3924768518518518, 0.7788194444444444, 1.1185648148148148 ], "type_event": [ 7, 7, 7, 7, 7, 2, 9, 7, 7, 9, 9, 9, 8, 8, 7, 14, 16, 16, 7, 7, 7, 7, 0, 7, 9, 0, 7, 6, 1, 7, 8, 8 ], "type_text": [ "Battery", "Battery", "Battery", "Battery", "Battery", "Sex Offense", "Assault", "Battery", "Battery", "Assault", "Assault", "Assault", "Other Offense", "Other Offense", "Battery", "Criminal Sexual Assault", "Narcotics", "Narcotics", "Battery", "Battery", "Battery", "Battery", "Theft", "Battery", "Assault", "Theft", "Battery", "Criminal Damage", "Weapons Violation", "Battery", "Other Offense", "Other Offense" ], "description": "The sequence of crime incidents shows a predominance of Battery offenses occurring early in the timeline, with multiple incidents clustered within the first 12 months. Assault incidents begin to appear around the 7-month mark and continue to occur intermittently, while other offense types such as Theft and Narcotics emerge later in the sequence. Notably, there is a slight increase in the variety of crime types after the first year, with Criminal Sexual Assault and Weapons Violations appearing toward the end of the timeline. Overall, the data indicates a trend of Battery offenses being the most frequent early on, followed by a gradual diversification of crime types as time progresses." }, { "dim_process": 20, "seq_idx": 207, "seq_len": 91, "time_since_start": [ 0.0, 0.12662037037037038, 0.1375, 0.20856481481481481, 0.2655092592592593, 0.26967592592592593, 0.3978009259259259, 0.7034722222222223, 0.7392824074074074, 0.7692129629629629, 0.8381944444444445, 0.8413888888888889, 0.8661574074074074, 0.9012731481481482, 0.9046296296296297, 1.0061574074074073, 1.1852777777777779, 1.2050231481481481, 1.2650925925925927, 1.2835648148148149, 1.8961805555555555, 2.265509259259259, 2.6002314814814813, 2.6055555555555556, 3.1994907407407407, 3.464074074074074, 3.7940046296296295, 4.528310185185185, 5.864907407407407, 5.999537037037037, 6.232986111111111, 6.364699074074074, 6.469675925925926, 6.565277777777778, 6.707407407407407, 6.777523148148148, 7.229212962962963, 8.68037037037037, 9.130902777777777, 9.436342592592593, 9.833564814814816, 13.12800925925926, 13.301805555555555, 13.832152777777777, 14.137175925925925, 14.4125, 14.464467592592593, 14.608912037037037, 14.684861111111111, 14.729722222222222, 15.305092592592592, 15.911944444444444, 15.950231481481481, 17.15798611111111, 17.464930555555554, 18.00060185185185, 18.15127314814815, 18.203796296296296, 18.28275462962963, 18.397106481481483, 18.487731481481482, 18.60798611111111, 18.772569444444443, 18.83900462962963, 18.870601851851852, 19.150046296296296, 19.23400462962963, 19.264976851851852, 19.37534722222222, 19.566898148148148, 19.896805555555556, 20.09236111111111, 20.439814814814813, 20.604097222222222, 20.640925925925927, 20.673842592592592, 20.709027777777777, 21.063541666666666, 21.136041666666667, 21.148032407407406, 21.300694444444446, 21.80925925925926, 21.90300925925926, 22.028587962962963, 22.500671296296296, 22.769675925925927, 23.158564814814813, 23.27800925925926, 23.435208333333332, 23.49525462962963, 23.53113425925926 ], "time_since_last_event": [ 0.0, 0.12662037037037038, 0.01087962962962963, 0.07106481481481482, 0.05694444444444444, 0.004166666666666667, 0.128125, 0.3056712962962963, 0.03581018518518519, 0.029930555555555554, 0.06898148148148148, 0.0031944444444444446, 0.02476851851851852, 0.03511574074074074, 0.0033564814814814816, 0.10152777777777777, 0.17912037037037037, 0.01974537037037037, 0.060069444444444446, 0.018472222222222223, 0.6126157407407408, 0.3693287037037037, 0.3347222222222222, 0.005324074074074074, 0.5939351851851852, 0.26458333333333334, 0.32993055555555556, 0.7343055555555555, 1.3365972222222222, 0.13462962962962963, 0.2334490740740741, 0.13171296296296298, 0.10497685185185185, 0.09560185185185185, 0.14212962962962963, 0.07011574074074074, 0.4516898148148148, 1.4511574074074074, 0.4505324074074074, 0.3054398148148148, 0.3972222222222222, 3.2944444444444443, 0.1737962962962963, 0.5303472222222222, 0.3050231481481481, 0.27532407407407405, 0.05196759259259259, 0.14444444444444443, 0.07594907407407407, 0.04486111111111111, 0.5753703703703704, 0.6068518518518519, 0.038287037037037036, 1.2077546296296295, 0.30694444444444446, 0.5356712962962963, 0.1506712962962963, 0.052523148148148145, 0.07895833333333334, 0.11435185185185186, 0.090625, 0.12025462962962963, 0.16458333333333333, 0.06643518518518518, 0.03159722222222222, 0.27944444444444444, 0.08395833333333333, 0.030972222222222224, 0.11037037037037037, 0.19155092592592593, 0.3299074074074074, 0.19555555555555557, 0.3474537037037037, 0.1642824074074074, 0.036828703703703704, 0.032916666666666664, 0.03518518518518519, 0.3545138888888889, 0.0725, 0.011990740740740741, 0.15266203703703704, 0.5085648148148149, 0.09375, 0.1255787037037037, 0.47208333333333335, 0.2690046296296296, 0.3888888888888889, 0.11944444444444445, 0.15719907407407407, 0.0600462962962963, 0.03587962962962963 ], "type_event": [ 16, 16, 16, 11, 16, 16, 16, 16, 16, 16, 4, 16, 16, 16, 16, 16, 14, 16, 16, 9, 16, 0, 11, 16, 16, 6, 1, 7, 7, 9, 16, 16, 16, 16, 7, 1, 7, 6, 9, 0, 3, 16, 16, 16, 10, 0, 7, 16, 16, 16, 7, 9, 7, 6, 9, 6, 7, 16, 8, 16, 0, 11, 16, 16, 7, 16, 9, 18, 16, 7, 16, 7, 4, 11, 7, 16, 11, 16, 16, 1, 4, 0, 8, 16, 16, 0, 11, 0, 16, 16, 16 ], "type_text": [ "Narcotics", "Narcotics", "Narcotics", "Robbery", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Motor Vehicle Theft", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Criminal Sexual Assault", "Narcotics", "Narcotics", "Assault", "Narcotics", "Theft", "Robbery", "Narcotics", "Narcotics", "Criminal Damage", "Weapons Violation", "Battery", "Battery", "Assault", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Battery", "Weapons Violation", "Battery", "Criminal Damage", "Assault", "Theft", "Deceptive Practice", "Narcotics", "Narcotics", "Narcotics", "Burglary", "Theft", "Battery", "Narcotics", "Narcotics", "Narcotics", "Battery", "Assault", "Battery", "Criminal Damage", "Assault", "Criminal Damage", "Battery", "Narcotics", "Other Offense", "Narcotics", "Theft", "Robbery", "Narcotics", "Narcotics", "Battery", "Narcotics", "Assault", "Public Peace Violation", "Narcotics", "Battery", "Narcotics", "Battery", "Motor Vehicle Theft", "Robbery", "Battery", "Narcotics", "Robbery", "Narcotics", "Narcotics", "Weapons Violation", "Motor Vehicle Theft", "Theft", "Other Offense", "Narcotics", "Narcotics", "Theft", "Robbery", "Theft", "Narcotics", "Narcotics", "Narcotics" ], "description": "The sequence of crime incidents shows a significant prevalence of narcotics-related offenses occurring early in the timeline, with multiple incidents clustered within the first few months. Robberies and thefts appear later in the sequence, often following narcotics incidents. Battery and assault incidents also emerge periodically throughout the timeline, with some clustering in the later months. Criminal damage and weapons violations are noted as sporadic events, while other offenses appear towards the end of the sequence, indicating a diverse range of crime types over time." }, { "dim_process": 20, "seq_idx": 208, "seq_len": 100, "time_since_start": [ 0.0, 0.30145833333333333, 0.7150925925925926, 0.8192592592592592, 1.5187962962962962, 1.5407870370370371, 1.5696064814814814, 1.9939120370370371, 2.8246064814814815, 2.9208796296296295, 3.3524074074074073, 3.43974537037037, 3.758611111111111, 3.761273148148148, 3.765347222222222, 3.8936342592592594, 4.036273148148148, 4.189050925925926, 4.220439814814815, 4.589050925925926, 4.594606481481481, 4.715439814814815, 4.85474537037037, 5.2276851851851855, 5.486273148148148, 5.73099537037037, 5.915439814814815, 6.086967592592592, 6.1196064814814815, 6.549467592592593, 7.459884259259259, 7.770185185185185, 8.391828703703704, 8.541180555555556, 8.952939814814815, 8.956064814814814, 9.768217592592592, 10.13210648148148, 11.02238425925926, 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21.39060185185185, 21.671458333333334, 21.850162037037038, 22.39849537037037, 22.686226851851853, 23.057106481481483, 23.898078703703703, 24.102939814814814, 24.119606481481483 ], "time_since_last_event": [ 0.0, 0.30145833333333333, 0.4136342592592593, 0.10416666666666667, 0.6995370370370371, 0.02199074074074074, 0.028819444444444446, 0.42430555555555555, 0.8306944444444444, 0.09627314814814815, 0.4315277777777778, 0.08733796296296296, 0.31886574074074076, 0.002662037037037037, 0.004074074074074074, 0.12828703703703703, 0.1426388888888889, 0.1527777777777778, 0.03138888888888889, 0.3686111111111111, 0.005555555555555556, 0.12083333333333333, 0.13930555555555554, 0.3729398148148148, 0.25858796296296294, 0.24472222222222223, 0.18444444444444444, 0.17152777777777778, 0.03263888888888889, 0.42986111111111114, 0.9104166666666667, 0.31030092592592595, 0.6216435185185185, 0.14935185185185185, 0.41175925925925927, 0.003125, 0.8121527777777777, 0.3638888888888889, 0.8902777777777777, 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0.16620370370370371, 0.07453703703703704, 0.07303240740740741, 0.1168287037037037, 0.28085648148148146, 0.1787037037037037, 0.5483333333333333, 0.2877314814814815, 0.3708796296296296, 0.8409722222222222, 0.2048611111111111, 0.016666666666666666 ], "type_event": [ 3, 1, 0, 7, 11, 6, 9, 6, 7, 7, 8, 8, 8, 9, 8, 1, 7, 8, 7, 7, 8, 7, 1, 7, 0, 16, 8, 6, 3, 6, 0, 6, 14, 11, 4, 7, 4, 4, 3, 8, 7, 4, 16, 7, 8, 9, 7, 0, 4, 4, 0, 8, 0, 7, 16, 4, 16, 7, 0, 5, 0, 7, 0, 17, 9, 0, 3, 8, 9, 9, 6, 4, 7, 9, 4, 9, 4, 8, 13, 7, 7, 1, 6, 11, 1, 5, 6, 7, 6, 5, 6, 11, 7, 6, 7, 16, 10, 11, 0, 0 ], "type_text": [ "Deceptive Practice", "Weapons Violation", "Theft", "Battery", "Robbery", "Criminal Damage", "Assault", "Criminal Damage", "Battery", "Battery", "Other Offense", "Other Offense", "Other Offense", "Assault", "Other Offense", "Weapons Violation", "Battery", "Other Offense", "Battery", "Battery", "Other Offense", "Battery", "Weapons Violation", "Battery", "Theft", "Narcotics", "Other Offense", "Criminal Damage", "Deceptive Practice", "Criminal Damage", "Theft", "Criminal Damage", "Criminal Sexual Assault", "Robbery", "Motor Vehicle Theft", "Battery", "Motor Vehicle Theft", "Motor Vehicle Theft", "Deceptive Practice", "Other Offense", "Battery", "Motor Vehicle Theft", "Narcotics", "Battery", "Other Offense", "Assault", "Battery", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Theft", "Other Offense", "Theft", "Battery", "Narcotics", "Motor Vehicle Theft", "Narcotics", "Battery", "Theft", "Criminal Trespass", "Theft", "Battery", "Theft", "Stalking", "Assault", "Theft", "Deceptive Practice", "Other Offense", "Assault", "Assault", "Criminal Damage", "Motor Vehicle Theft", "Battery", "Assault", "Motor Vehicle Theft", "Assault", "Motor Vehicle Theft", "Other Offense", "Offense Involving Children", "Battery", "Battery", "Weapons Violation", "Criminal Damage", "Robbery", "Weapons Violation", "Criminal Trespass", "Criminal Damage", "Battery", "Criminal Damage", "Criminal Trespass", "Criminal Damage", "Robbery", "Battery", "Criminal Damage", "Battery", "Narcotics", "Burglary", "Robbery", "Theft", "Theft" ], "description": "The sequence of crime incidents shows a variety of crime types occurring over time, with certain patterns emerging. Initially, incidents like Deceptive Practice and Weapons Violations appear early on, while Theft and Battery incidents start appearing more frequently as the timeline progresses. A notable clustering of Other Offense incidents occurs around the third month, followed by a rise in Battery and Theft incidents. As the timeline continues, Motor Vehicle Theft becomes prominent, particularly in the later months, alongside a consistent presence of Battery and Criminal Damage incidents throughout the sequence." }, { "dim_process": 20, "seq_idx": 209, "seq_len": 100, "time_since_start": [ 0.0, 0.23710648148148147, 0.2609490740740741, 0.29125, 0.4963425925925926, 0.5475, 0.6301388888888889, 0.7315277777777778, 0.8640509259259259, 1.0037962962962963, 1.0502777777777779, 1.0880092592592592, 1.2980787037037036, 1.5227083333333333, 1.5866666666666667, 2.492986111111111, 2.493402777777778, 2.557615740740741, 2.618009259259259, 2.6878935185185187, 2.85375, 2.8655555555555554, 3.0704166666666666, 3.099212962962963, 3.12, 3.299351851851852, 3.488472222222222, 3.7316435185185184, 3.7536111111111112, 3.754074074074074, 3.7844675925925926, 4.2676388888888885, 4.70375, 5.083773148148148, 5.250972222222222, 5.456365740740741, 5.489629629629629, 5.50375, 5.688125, 5.776666666666666, 5.859305555555555, 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18.637175925925927, 18.716342592592593, 20.14402777777778, 23.51761574074074, 23.685648148148147, 23.784884259259258 ], "time_since_last_event": [ 0.0, 0.23710648148148147, 0.023842592592592592, 0.030300925925925926, 0.2050925925925926, 0.05115740740740741, 0.08263888888888889, 0.10138888888888889, 0.13252314814814814, 0.13974537037037038, 0.046481481481481485, 0.037731481481481484, 0.21006944444444445, 0.22462962962962962, 0.06395833333333334, 0.9063194444444445, 0.0004166666666666667, 0.06421296296296296, 0.06039351851851852, 0.06988425925925926, 0.1658564814814815, 0.011805555555555555, 0.2048611111111111, 0.028796296296296296, 0.020787037037037038, 0.17935185185185185, 0.18912037037037038, 0.2431712962962963, 0.021967592592592594, 0.000462962962962963, 0.030393518518518518, 0.4831712962962963, 0.4361111111111111, 0.38002314814814814, 0.16719907407407408, 0.20539351851851853, 0.03326388888888889, 0.01412037037037037, 0.184375, 0.08854166666666667, 0.08263888888888889, 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0.3190277777777778, 0.1335185185185185, 0.2501157407407407, 0.09893518518518518, 0.804050925925926, 0.07916666666666666, 1.4276851851851853, 3.373587962962963, 0.1680324074074074, 0.09923611111111111 ], "type_event": [ 16, 7, 9, 0, 16, 6, 16, 16, 16, 7, 16, 16, 16, 16, 16, 16, 16, 9, 16, 16, 3, 11, 0, 16, 16, 16, 16, 16, 16, 16, 16, 4, 7, 16, 16, 16, 16, 16, 16, 7, 16, 16, 16, 16, 16, 0, 16, 16, 4, 16, 16, 16, 16, 16, 4, 11, 16, 11, 7, 0, 16, 16, 16, 6, 16, 16, 16, 16, 7, 16, 1, 16, 16, 1, 5, 16, 16, 16, 16, 16, 7, 16, 16, 1, 16, 9, 16, 15, 7, 7, 16, 16, 7, 16, 8, 9, 7, 16, 16, 16 ], "type_text": [ "Narcotics", "Battery", "Assault", "Theft", "Narcotics", "Criminal Damage", "Narcotics", "Narcotics", "Narcotics", "Battery", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Assault", "Narcotics", "Narcotics", "Deceptive Practice", "Robbery", "Theft", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Motor Vehicle Theft", "Battery", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Battery", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Theft", "Narcotics", "Narcotics", "Motor Vehicle Theft", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Motor Vehicle Theft", "Robbery", "Narcotics", "Robbery", "Battery", "Theft", "Narcotics", "Narcotics", "Narcotics", "Criminal Damage", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Battery", "Narcotics", "Weapons Violation", "Narcotics", "Narcotics", "Weapons Violation", "Criminal Trespass", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Battery", "Narcotics", "Narcotics", "Weapons Violation", "Narcotics", "Assault", "Narcotics", "Interference With Public Officer", "Battery", "Battery", "Narcotics", "Narcotics", "Battery", "Narcotics", "Other Offense", "Assault", "Battery", "Narcotics", "Narcotics", "Narcotics" ], "description": "The sequence of crime incidents shows a significant prevalence of narcotics-related offenses occurring throughout the timeline, particularly clustered in the earlier months and continuing intermittently into later months. Battery incidents appear consistently, with notable occurrences spread throughout the sequence, while theft and robbery incidents are more sporadic. Criminal damage and weapons violations are less frequent but appear at various points, indicating a diverse range of crime types. Overall, narcotics offenses dominate the sequence, with other crime types appearing in smaller clusters at various intervals." }, { "dim_process": 20, "seq_idx": 210, "seq_len": 65, "time_since_start": [ 0.0, 0.0037962962962962963, 0.1721990740740741, 0.7204861111111112, 0.77, 1.6732407407407408, 1.6746296296296297, 1.7041435185185185, 1.8037962962962963, 1.8040277777777778, 1.8399074074074073, 1.8718518518518519, 1.873587962962963, 1.8996296296296296, 2.037824074074074, 2.1374768518518517, 2.1395601851851853, 2.3756712962962965, 2.5412962962962964, 3.3413194444444443, 3.7371296296296297, 4.002407407407407, 4.605069444444444, 7.478796296296296, 7.903564814814815, 7.9403703703703705, 9.131342592592592, 9.304375, 9.569189814814814, 10.773240740740741, 11.007962962962964, 11.874976851851851, 12.798472222222221, 12.916296296296297, 13.539560185185184, 14.905439814814814, 15.165787037037036, 15.472152777777778, 15.474166666666667, 16.072199074074074, 16.16490740740741, 16.366203703703704, 16.374513888888888, 16.57150462962963, 17.063518518518517, 19.405185185185186, 19.667685185185185, 20.031736111111112, 20.701574074074074, 20.797893518518517, 20.974560185185187, 21.033425925925926, 21.675555555555555, 22.668032407407406, 22.66976851851852, 22.68087962962963, 22.836435185185184, 22.905856481481482, 22.906574074074076, 23.074166666666667, 23.077407407407406, 23.140138888888888, 23.217685185185186, 23.272939814814816, 23.364560185185184 ], "time_since_last_event": [ 0.0, 0.0037962962962962963, 0.1684027777777778, 0.5482870370370371, 0.04951388888888889, 0.9032407407407408, 0.001388888888888889, 0.029513888888888888, 0.09965277777777778, 0.0002314814814814815, 0.03587962962962963, 0.03194444444444444, 0.001736111111111111, 0.026041666666666668, 0.13819444444444445, 0.09965277777777778, 0.0020833333333333333, 0.2361111111111111, 0.165625, 0.8000231481481481, 0.3958101851851852, 0.2652777777777778, 0.602662037037037, 2.8737268518518517, 0.42476851851851855, 0.03680555555555556, 1.1909722222222223, 0.1730324074074074, 0.26481481481481484, 1.204050925925926, 0.23472222222222222, 0.8670138888888889, 0.9234953703703703, 0.11782407407407407, 0.6232638888888888, 1.3658796296296296, 0.26034722222222223, 0.30636574074074074, 0.002013888888888889, 0.5980324074074074, 0.09270833333333334, 0.2012962962962963, 0.008310185185185184, 0.19699074074074074, 0.49201388888888886, 2.341666666666667, 0.2625, 0.3640509259259259, 0.6698379629629629, 0.09631944444444444, 0.17666666666666667, 0.05886574074074074, 0.6421296296296296, 0.9924768518518519, 0.001736111111111111, 0.011111111111111112, 0.15555555555555556, 0.0694212962962963, 0.0007175925925925926, 0.1675925925925926, 0.0032407407407407406, 0.06273148148148149, 0.0775462962962963, 0.05525462962962963, 0.09162037037037037 ], "type_event": [ 7, 7, 7, 8, 7, 7, 7, 9, 6, 11, 7, 7, 7, 7, 7, 0, 0, 16, 7, 7, 0, 8, 0, 0, 0, 7, 7, 0, 1, 2, 7, 11, 16, 0, 0, 7, 9, 7, 7, 7, 7, 7, 7, 7, 7, 0, 0, 9, 16, 9, 7, 9, 5, 0, 7, 4, 7, 18, 7, 18, 7, 11, 4, 7, 6 ], "type_text": [ "Battery", "Battery", "Battery", "Other Offense", "Battery", "Battery", "Battery", "Assault", "Criminal Damage", "Robbery", "Battery", "Battery", "Battery", "Battery", "Battery", "Theft", "Theft", "Narcotics", "Battery", "Battery", "Theft", "Other Offense", "Theft", "Theft", "Theft", "Battery", "Battery", "Theft", "Weapons Violation", "Sex Offense", "Battery", "Robbery", "Narcotics", "Theft", "Theft", "Battery", "Assault", "Battery", "Battery", "Battery", "Battery", "Battery", "Battery", "Battery", "Battery", "Theft", "Theft", "Assault", "Narcotics", "Assault", "Battery", "Assault", "Criminal Trespass", "Theft", "Battery", "Motor Vehicle Theft", "Battery", "Public Peace Violation", "Battery", "Public Peace Violation", "Battery", "Robbery", "Motor Vehicle Theft", "Battery", "Criminal Damage" ], "description": "The sequence of crime incidents begins with a high frequency of Battery offenses occurring early on, particularly within the first two months. As time progresses, various crime types such as Theft and Other Offenses emerge, with Theft incidents becoming more prominent in later months. Notably, there are clusters of Battery incidents that continue to appear throughout the timeline, while other offenses like Assault and Robbery also appear intermittently. The sequence shows a gradual increase in the diversity of crime types over time, with some events, like Narcotics and Weapons Violations, appearing less frequently but still contributing to the overall pattern." }, { "dim_process": 20, "seq_idx": 211, "seq_len": 67, "time_since_start": [ 0.0, 3.1590277777777778, 4.744583333333333, 5.204583333333333, 5.2353703703703705, 5.546296296296297, 5.557430555555555, 5.798032407407407, 6.3351851851851855, 6.492824074074074, 6.576041666666667, 7.071643518518519, 7.131712962962963, 7.137962962962963, 7.139351851851852, 7.233217592592593, 7.3299768518518515, 7.614953703703704, 7.74050925925926, 7.745787037037037, 8.496296296296297, 8.56837962962963, 9.034722222222221, 9.04351851851852, 9.073148148148148, 9.372222222222222, 9.375462962962963, 11.947662037037038, 13.44212962962963, 13.57875, 14.576620370370371, 15.11275462962963, 15.472685185185185, 15.499652777777778, 15.502546296296297, 16.033101851851853, 16.826851851851853, 16.965046296296297, 16.965046296296297, 17.77037037037037, 18.172916666666666, 18.54976851851852, 18.749074074074073, 18.86747685185185, 18.881944444444443, 19.071296296296296, 19.367824074074075, 19.50671296296296, 20.047662037037036, 20.072337962962962, 20.30462962962963, 20.796296296296298, 21.00150462962963, 21.030324074074073, 21.069560185185185, 21.093703703703703, 21.095601851851853, 21.201851851851853, 21.39212962962963, 21.502175925925926, 21.51337962962963, 21.70740740740741, 21.986574074074074, 22.211805555555557, 22.39351851851852, 22.53935185185185, 23.27337962962963 ], "time_since_last_event": [ 0.0, 3.1590277777777778, 1.5855555555555556, 0.46, 0.030787037037037036, 0.31092592592592594, 0.011134259259259259, 0.24060185185185184, 0.5371527777777778, 0.15763888888888888, 0.08321759259259259, 0.49560185185185185, 0.060069444444444446, 0.00625, 0.001388888888888889, 0.09386574074074074, 0.09675925925925925, 0.28497685185185184, 0.12555555555555556, 0.005277777777777778, 0.7505092592592593, 0.07208333333333333, 0.4663425925925926, 0.008796296296296297, 0.02962962962962963, 0.29907407407407405, 0.0032407407407407406, 2.572199074074074, 1.4944675925925925, 0.13662037037037036, 0.9978703703703704, 0.5361342592592593, 0.35993055555555553, 0.02696759259259259, 0.0028935185185185184, 0.5305555555555556, 0.79375, 0.13819444444444445, 0.0, 0.805324074074074, 0.4025462962962963, 0.3768518518518518, 0.19930555555555557, 0.11840277777777777, 0.014467592592592593, 0.18935185185185185, 0.2965277777777778, 0.1388888888888889, 0.5409490740740741, 0.024675925925925928, 0.23229166666666667, 0.49166666666666664, 0.20520833333333333, 0.028819444444444446, 0.03923611111111111, 0.02414351851851852, 0.0018981481481481482, 0.10625, 0.19027777777777777, 0.1100462962962963, 0.011203703703703704, 0.19402777777777777, 0.2791666666666667, 0.22523148148148148, 0.18171296296296297, 0.14583333333333334, 0.7340277777777777 ], "type_event": [ 0, 0, 7, 0, 7, 6, 9, 2, 0, 0, 7, 0, 7, 6, 0, 6, 0, 7, 0, 15, 4, 0, 0, 6, 0, 0, 0, 16, 0, 15, 6, 1, 0, 0, 0, 0, 0, 4, 0, 11, 0, 4, 7, 0, 10, 0, 0, 0, 15, 6, 0, 0, 0, 0, 10, 0, 0, 6, 0, 0, 1, 0, 10, 1, 0, 14, 11 ], "type_text": [ "Theft", "Theft", "Battery", "Theft", "Battery", "Criminal Damage", "Assault", "Sex Offense", "Theft", "Theft", "Battery", "Theft", "Battery", "Criminal Damage", "Theft", "Criminal Damage", "Theft", "Battery", "Theft", "Interference With Public Officer", "Motor Vehicle Theft", "Theft", "Theft", "Criminal Damage", "Theft", "Theft", "Theft", "Narcotics", "Theft", "Interference With Public Officer", "Criminal Damage", "Weapons Violation", "Theft", "Theft", "Theft", "Theft", "Theft", "Motor Vehicle Theft", "Theft", "Robbery", "Theft", "Motor Vehicle Theft", "Battery", "Theft", "Burglary", "Theft", "Theft", "Theft", "Interference With Public Officer", "Criminal Damage", "Theft", "Theft", "Theft", "Theft", "Burglary", "Theft", "Theft", "Criminal Damage", "Theft", "Theft", "Weapons Violation", "Theft", "Burglary", "Weapons Violation", "Theft", "Criminal Sexual Assault", "Robbery" ], "description": "The sequence of crime incidents begins with thefts occurring early on, with several reported within the first few months. As time progresses, there is a noticeable increase in the variety of crime types, including battery, criminal damage, and assaults, clustering around the 5 to 8-month mark. The frequency of theft remains high throughout the sequence, with multiple incidents occurring in close succession, particularly between the 6 and 21-month marks. Towards the end of the timeline, there are additional occurrences of robbery and more serious offenses like weapons violations and sexual assault, indicating a diversification of crime types as time advances." }, { "dim_process": 20, "seq_idx": 212, "seq_len": 35, "time_since_start": [ 0.0, 0.3138888888888889, 3.7258333333333336, 3.930972222222222, 4.420185185185185, 4.420902777777778, 4.694444444444445, 5.331597222222222, 5.481365740740741, 7.127430555555556, 7.916388888888889, 7.942384259259259, 8.126319444444444, 8.45324074074074, 8.622685185185185, 8.753194444444444, 9.740972222222222, 9.758009259259259, 9.776388888888889, 9.874189814814814, 10.46111111111111, 10.48263888888889, 10.684282407407407, 10.743055555555555, 11.42361111111111, 12.286111111111111, 12.572916666666666, 12.963888888888889, 13.472337962962962, 14.579166666666667, 15.326736111111112, 15.796875, 16.836458333333333, 17.22013888888889, 18.9875 ], "time_since_last_event": [ 0.0, 0.3138888888888889, 3.4119444444444444, 0.2051388888888889, 0.48921296296296296, 0.0007175925925925926, 0.2735416666666667, 0.6371527777777778, 0.14976851851851852, 1.646064814814815, 0.7889583333333333, 0.02599537037037037, 0.18393518518518517, 0.3269212962962963, 0.16944444444444445, 0.13050925925925927, 0.9877777777777778, 0.017037037037037038, 0.01837962962962963, 0.09780092592592593, 0.5869212962962963, 0.021527777777777778, 0.20164351851851853, 0.05877314814814815, 0.6805555555555556, 0.8625, 0.28680555555555554, 0.3909722222222222, 0.508449074074074, 1.1068287037037037, 0.7475694444444444, 0.4701388888888889, 1.0395833333333333, 0.3836805555555556, 1.7673611111111112 ], "type_event": [ 6, 8, 10, 7, 9, 9, 4, 3, 0, 7, 9, 9, 0, 7, 9, 7, 7, 7, 3, 8, 7, 3, 7, 7, 0, 0, 0, 5, 6, 3, 7, 7, 6, 4, 0 ], "type_text": [ "Criminal Damage", "Other Offense", "Burglary", "Battery", "Assault", "Assault", "Motor Vehicle Theft", "Deceptive Practice", "Theft", "Battery", "Assault", "Assault", "Theft", "Battery", "Assault", "Battery", "Battery", "Battery", "Deceptive Practice", "Other Offense", "Battery", "Deceptive Practice", "Battery", "Battery", "Theft", "Theft", "Theft", "Criminal Trespass", "Criminal Damage", "Deceptive Practice", "Battery", "Battery", "Criminal Damage", "Motor Vehicle Theft", "Theft" ], "description": "The sequence of crime incidents begins with Criminal Damage and Other Offense occurring within the first few months, followed by a series of property crimes such as Burglary and Motor Vehicle Theft. Battery and Assault incidents appear clustered between the fourth and ninth months, with multiple occurrences within short timeframes. As time progresses, there is a noticeable increase in Theft incidents, particularly in the later months, alongside a consistent presence of Deceptive Practices and Criminal Damage. The sequence shows a trend of escalating incidents, particularly violent crimes, followed by a rise in property-related offenses as time advances." }, { "dim_process": 20, "seq_idx": 213, "seq_len": 54, "time_since_start": [ 0.0, 0.09560185185185185, 0.7446296296296296, 1.9432407407407408, 2.3331712962962965, 2.4807407407407407, 2.660833333333333, 3.0675462962962965, 3.4814351851851852, 3.499722222222222, 4.163726851851852, 5.004953703703704, 5.64324074074074, 6.339444444444444, 6.498796296296296, 6.847060185185185, 7.254351851851852, 8.512060185185184, 8.671018518518519, 8.92986111111111, 8.93212962962963, 9.068240740740741, 9.088611111111112, 10.29324074074074, 10.575185185185186, 10.771342592592593, 10.97076388888889, 11.931435185185185, 11.998101851851851, 12.13949074074074, 12.598541666666666, 12.730277777777777, 13.792777777777777, 14.065625, 14.622060185185186, 14.742708333333333, 15.23537037037037, 15.25851851851852, 15.359907407407407, 15.79949074074074, 18.299722222222222, 18.334560185185186, 18.432824074074073, 18.912222222222223, 19.665694444444444, 19.93976851851852, 20.389675925925925, 21.29011574074074, 21.46148148148148, 22.089074074074073, 22.35800925925926, 22.37009259259259, 22.463379629629628, 22.638125 ], "time_since_last_event": [ 0.0, 0.09560185185185185, 0.6490277777777778, 1.198611111111111, 0.38993055555555556, 0.14756944444444445, 0.18009259259259258, 0.40671296296296294, 0.41388888888888886, 0.018287037037037036, 0.6640046296296296, 0.8412268518518519, 0.638287037037037, 0.6962037037037037, 0.15935185185185186, 0.3482638888888889, 0.40729166666666666, 1.2577083333333334, 0.15895833333333334, 0.25884259259259257, 0.0022685185185185187, 0.1361111111111111, 0.020370370370370372, 1.2046296296296297, 0.28194444444444444, 0.19615740740740742, 0.1994212962962963, 0.9606712962962963, 0.06666666666666667, 0.1413888888888889, 0.45905092592592595, 0.1317361111111111, 1.0625, 0.27284722222222224, 0.5564351851851852, 0.12064814814814814, 0.49266203703703704, 0.023148148148148147, 0.10138888888888889, 0.4395833333333333, 2.5002314814814817, 0.034837962962962966, 0.09826388888888889, 0.47939814814814813, 0.7534722222222222, 0.2740740740740741, 0.4499074074074074, 0.9004398148148148, 0.17136574074074074, 0.6275925925925926, 0.26893518518518517, 0.012083333333333333, 0.09328703703703704, 0.17474537037037038 ], "type_event": [ 7, 1, 9, 0, 0, 8, 9, 6, 0, 9, 6, 1, 7, 1, 4, 6, 9, 1, 14, 9, 7, 6, 6, 9, 0, 7, 1, 4, 0, 15, 7, 7, 7, 7, 11, 9, 6, 0, 0, 1, 0, 0, 7, 7, 7, 6, 11, 7, 16, 3, 1, 16, 6, 8 ], "type_text": [ "Battery", "Weapons Violation", "Assault", "Theft", "Theft", "Other Offense", "Assault", "Criminal Damage", "Theft", "Assault", "Criminal Damage", "Weapons Violation", "Battery", "Weapons Violation", "Motor Vehicle Theft", "Criminal Damage", "Assault", "Weapons Violation", "Criminal Sexual Assault", "Assault", "Battery", "Criminal Damage", "Criminal Damage", "Assault", "Theft", "Battery", "Weapons Violation", "Motor Vehicle Theft", "Theft", "Interference With Public Officer", "Battery", "Battery", "Battery", "Battery", "Robbery", "Assault", "Criminal Damage", "Theft", "Theft", "Weapons Violation", "Theft", "Theft", "Battery", "Battery", "Battery", "Criminal Damage", "Robbery", "Battery", "Narcotics", "Deceptive Practice", "Weapons Violation", "Narcotics", "Criminal Damage", "Other Offense" ], "description": "The sequence of crime incidents shows a diverse range of offenses occurring over time, with certain types of crimes appearing more frequently at different intervals. Initially, incidents such as battery and weapons violations are reported, followed by a cluster of thefts and assaults in the early months. As time progresses, there is a noticeable increase in criminal damage incidents, particularly in the later months, alongside a consistent presence of battery and weapons violations. The sequence also indicates a pattern of repeated offenses, with multiple occurrences of similar crime types clustered together, particularly in the middle to later stages of the timeline." }, { "dim_process": 20, "seq_idx": 214, "seq_len": 47, "time_since_start": [ 0.0, 0.29356481481481483, 1.2152083333333332, 1.3704166666666666, 2.786875, 3.2870833333333334, 3.5231944444444445, 5.139166666666667, 5.962314814814815, 5.995925925925926, 6.3822222222222225, 6.671967592592592, 6.7943287037037035, 8.139166666666666, 9.035694444444445, 9.085694444444444, 9.392291666666667, 10.293333333333333, 10.560231481481482, 11.337152777777778, 11.567523148148148, 11.69513888888889, 11.841712962962964, 12.036273148148148, 12.293333333333333, 13.813472222222222, 15.45337962962963, 15.814861111111112, 15.816550925925926, 16.723518518518517, 16.762083333333333, 16.80027777777778, 16.808055555555555, 16.83400462962963, 17.74835648148148, 17.89587962962963, 17.946805555555557, 17.964861111111112, 18.1975, 18.846805555555555, 19.26902777777778, 19.615, 20.230833333333333, 20.231180555555557, 21.389791666666667, 22.45162037037037, 23.557152777777777 ], "time_since_last_event": [ 0.0, 0.29356481481481483, 0.9216435185185186, 0.15520833333333334, 1.4164583333333334, 0.5002083333333334, 0.2361111111111111, 1.6159722222222221, 0.8231481481481482, 0.03361111111111111, 0.3862962962962963, 0.28974537037037035, 0.12236111111111111, 1.344837962962963, 0.8965277777777778, 0.05, 0.30659722222222224, 0.9010416666666666, 0.26689814814814816, 0.7769212962962962, 0.23037037037037036, 0.12761574074074075, 0.14657407407407408, 0.1945601851851852, 0.2570601851851852, 1.520138888888889, 1.6399074074074074, 0.36148148148148146, 0.0016898148148148148, 0.9069675925925926, 0.038564814814814816, 0.03819444444444445, 0.0077777777777777776, 0.025949074074074076, 0.9143518518518519, 0.14752314814814815, 0.05092592592592592, 0.018055555555555554, 0.2326388888888889, 0.6493055555555556, 0.4222222222222222, 0.34597222222222224, 0.6158333333333333, 0.00034722222222222224, 1.158611111111111, 1.0618287037037037, 1.1055324074074073 ], "type_event": [ 9, 0, 0, 6, 8, 6, 9, 5, 0, 9, 7, 8, 7, 8, 2, 7, 9, 9, 6, 7, 7, 9, 4, 6, 7, 3, 0, 4, 19, 7, 7, 9, 6, 6, 0, 9, 0, 4, 9, 6, 6, 7, 7, 7, 0, 4, 0 ], "type_text": [ "Assault", "Theft", "Theft", "Criminal Damage", "Other Offense", "Criminal Damage", "Assault", "Criminal Trespass", "Theft", "Assault", "Battery", "Other Offense", "Battery", "Other Offense", "Sex Offense", "Battery", "Assault", "Assault", "Criminal Damage", "Battery", "Battery", "Assault", "Motor Vehicle Theft", "Criminal Damage", "Battery", "Deceptive Practice", "Theft", "Motor Vehicle Theft", "Homicide", "Battery", "Battery", "Assault", "Criminal Damage", "Criminal Damage", "Theft", "Assault", "Theft", "Motor Vehicle Theft", "Assault", "Criminal Damage", "Criminal Damage", "Battery", "Battery", "Battery", "Theft", "Motor Vehicle Theft", "Theft" ], "description": "The sequence of crime incidents shows a progression of various crime types over time, with notable clusters occurring at specific intervals. Assaults and thefts are prevalent in the earlier months, while criminal damage incidents appear consistently throughout the timeline. Battery incidents begin to increase significantly around the six-month mark and continue to be reported frequently. Motor vehicle thefts and other offenses also emerge later in the sequence, indicating a diversification of crime types as time progresses. Overall, there is a noticeable trend of increasing crime variety as the months advance, with certain types like theft and assault occurring more frequently in the initial stages." }, { "dim_process": 20, "seq_idx": 215, "seq_len": 31, "time_since_start": [ 0.0, 0.16319444444444445, 0.37962962962962965, 0.7097222222222223, 2.6333333333333333, 3.1103935185185185, 5.232407407407408, 8.468472222222223, 9.044444444444444, 9.049953703703704, 9.075856481481482, 9.20988425925926, 9.373287037037038, 9.443240740740741, 10.571157407407407, 10.759722222222223, 10.868425925925926, 11.283101851851852, 12.966412037037037, 13.497222222222222, 15.723611111111111, 16.52986111111111, 16.838194444444444, 18.201319444444444, 19.011111111111113, 20.40159722222222, 20.880555555555556, 21.41111111111111, 22.14375, 22.597569444444446, 23.257638888888888 ], "time_since_last_event": [ 0.0, 0.16319444444444445, 0.21643518518518517, 0.3300925925925926, 1.9236111111111112, 0.47706018518518517, 2.122013888888889, 3.236064814814815, 0.5759722222222222, 0.005509259259259259, 0.025902777777777778, 0.13402777777777777, 0.16340277777777779, 0.0699537037037037, 1.1279166666666667, 0.18856481481481482, 0.1087037037037037, 0.41467592592592595, 1.6833101851851853, 0.5308101851851852, 2.2263888888888888, 0.80625, 0.30833333333333335, 1.363125, 0.8097916666666667, 1.390486111111111, 0.4789583333333333, 0.5305555555555556, 0.7326388888888888, 0.45381944444444444, 0.6600694444444445 ], "type_event": [ 0, 9, 9, 10, 0, 16, 3, 7, 10, 10, 16, 9, 16, 16, 0, 7, 9, 0, 7, 7, 9, 11, 16, 7, 10, 9, 4, 0, 0, 7, 7 ], "type_text": [ "Theft", "Assault", "Assault", "Burglary", "Theft", "Narcotics", "Deceptive Practice", "Battery", "Burglary", "Burglary", "Narcotics", "Assault", "Narcotics", "Narcotics", "Theft", "Battery", "Assault", "Theft", "Battery", "Battery", "Assault", "Robbery", "Narcotics", "Battery", "Burglary", "Assault", "Motor Vehicle Theft", "Theft", "Theft", "Battery", "Battery" ], "description": "The sequence of crime incidents shows a variety of crime types occurring over time, with notable clustering of certain events. Initially, theft and assault are reported within the first few months, followed by a burglary incident. As time progresses, there is a noticeable increase in narcotics-related incidents around the ninth month, coinciding with a spike in assaults and batteries. The latter part of the sequence sees multiple thefts and batteries occurring in close succession, with a few instances of robbery and motor vehicle theft appearing later on. Overall, the data indicates that theft and assault are more prevalent in the earlier months, while narcotics and battery incidents increase as time goes on." }, { "dim_process": 20, "seq_idx": 216, "seq_len": 50, "time_since_start": [ 0.0, 0.4847222222222222, 3.091134259259259, 4.075231481481482, 4.248657407407407, 6.340277777777778, 6.36087962962963, 7.097916666666666, 7.235416666666667, 7.332638888888889, 7.932638888888889, 8.387962962962963, 8.470833333333333, 8.72638888888889, 8.73101851851852, 9.002777777777778, 9.220856481481482, 9.233333333333333, 9.346527777777778, 9.620833333333334, 11.099166666666667, 11.204166666666667, 12.213310185185184, 12.708333333333334, 13.204166666666667, 13.205, 13.614444444444445, 13.8375, 14.580555555555556, 15.015277777777778, 15.126898148148149, 16.020439814814814, 16.040277777777778, 17.05296296296296, 17.787523148148146, 17.896180555555556, 18.04722222222222, 18.502777777777776, 18.543055555555554, 18.630555555555556, 19.707291666666666, 20.133333333333333, 21.222569444444446, 21.53611111111111, 21.621365740740742, 21.931944444444444, 22.245601851851852, 22.665277777777778, 22.87361111111111, 23.64953703703704 ], "time_since_last_event": [ 0.0, 0.4847222222222222, 2.606412037037037, 0.9840972222222222, 0.17342592592592593, 2.09162037037037, 0.02060185185185185, 0.737037037037037, 0.1375, 0.09722222222222222, 0.6, 0.45532407407407405, 0.08287037037037037, 0.25555555555555554, 0.004629629629629629, 0.27175925925925926, 0.2180787037037037, 0.012476851851851852, 0.11319444444444444, 0.2743055555555556, 1.4783333333333333, 0.105, 1.0091435185185185, 0.49502314814814813, 0.49583333333333335, 0.0008333333333333334, 0.40944444444444444, 0.22305555555555556, 0.7430555555555556, 0.43472222222222223, 0.11162037037037037, 0.8935416666666667, 0.019837962962962963, 1.0126851851851852, 0.7345601851851852, 0.10865740740740741, 0.15104166666666666, 0.45555555555555555, 0.04027777777777778, 0.0875, 1.0767361111111111, 0.42604166666666665, 1.089236111111111, 0.31354166666666666, 0.08525462962962962, 0.3105787037037037, 0.3136574074074074, 0.41967592592592595, 0.20833333333333334, 0.7759259259259259 ], "type_event": [ 3, 3, 5, 7, 8, 7, 0, 0, 7, 9, 0, 7, 0, 4, 4, 3, 4, 3, 3, 3, 8, 0, 9, 0, 0, 0, 8, 3, 9, 7, 7, 9, 3, 8, 3, 9, 7, 3, 14, 0, 0, 0, 6, 8, 9, 0, 0, 0, 0, 7 ], "type_text": [ "Deceptive Practice", "Deceptive Practice", "Criminal Trespass", "Battery", "Other Offense", "Battery", "Theft", "Theft", "Battery", "Assault", "Theft", "Battery", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Deceptive Practice", "Motor Vehicle Theft", "Deceptive Practice", "Deceptive Practice", "Deceptive Practice", "Other Offense", "Theft", "Assault", "Theft", "Theft", "Theft", "Other Offense", "Deceptive Practice", "Assault", "Battery", "Battery", "Assault", "Deceptive Practice", "Other Offense", "Deceptive Practice", "Assault", "Battery", "Deceptive Practice", "Criminal Sexual Assault", "Theft", "Theft", "Theft", "Criminal Damage", "Other Offense", "Assault", "Theft", "Theft", "Theft", "Theft", "Battery" ], "description": "The sequence of crime incidents shows a pattern where deceptive practices are reported early on, with multiple occurrences clustered within the first few months. As time progresses, there is a noticeable increase in violent offenses, particularly batteries and assaults, which begin to appear more frequently around the seven-month mark. Theft incidents become prominent in the latter half of the timeline, with several clustered occurrences, while other offenses also appear intermittently throughout the sequence. The presence of motor vehicle thefts is noted around the nine-month mark, and the variety of crime types suggests a diverse range of incidents over the observed period." }, { "dim_process": 20, "seq_idx": 217, "seq_len": 32, "time_since_start": [ 0.0, 1.5071527777777778, 4.033009259259259, 5.042523148148148, 7.125555555555556, 7.616527777777778, 9.264305555555556, 9.270347222222222, 9.83875, 12.180416666666666, 12.372453703703703, 13.544537037037037, 13.732152777777777, 13.747662037037037, 14.471736111111111, 14.513078703703703, 15.342569444444445, 16.26972222222222, 16.51560185185185, 16.539768518518517, 17.014444444444443, 17.151203703703704, 17.482847222222222, 17.70023148148148, 18.121967592592593, 19.003703703703703, 19.003796296296297, 20.813958333333332, 21.502199074074074, 22.21733796296296, 22.400439814814813, 22.848240740740742 ], "time_since_last_event": [ 0.0, 1.5071527777777778, 2.5258564814814815, 1.0095138888888888, 2.0830324074074076, 0.4909722222222222, 1.6477777777777778, 0.0060416666666666665, 0.5684027777777778, 2.341666666666667, 0.19203703703703703, 1.1720833333333334, 0.18761574074074075, 0.015509259259259259, 0.7240740740740741, 0.04134259259259259, 0.8294907407407407, 0.9271527777777778, 0.24587962962962964, 0.024166666666666666, 0.47467592592592595, 0.13675925925925925, 0.33164351851851853, 0.21738425925925925, 0.4217361111111111, 0.8817361111111112, 9.259259259259259e-05, 1.810162037037037, 0.6882407407407407, 0.7151388888888889, 0.18310185185185185, 0.4478009259259259 ], "type_event": [ 9, 7, 16, 16, 4, 7, 16, 11, 6, 4, 16, 7, 16, 1, 7, 16, 0, 1, 9, 7, 0, 7, 7, 16, 6, 16, 7, 7, 16, 7, 16, 7 ], "type_text": [ "Assault", "Battery", "Narcotics", "Narcotics", "Motor Vehicle Theft", "Battery", "Narcotics", "Robbery", "Criminal Damage", "Motor Vehicle Theft", "Narcotics", "Battery", "Narcotics", "Weapons Violation", "Battery", "Narcotics", "Theft", "Weapons Violation", "Assault", "Battery", "Theft", "Battery", "Battery", "Narcotics", "Criminal Damage", "Narcotics", "Battery", "Battery", "Narcotics", "Battery", "Narcotics", "Battery" ], "description": "The sequence of crime incidents shows a variety of crime types reported over time, with notable clustering of specific types. Assaults and batteries occur early in the timeline, while narcotics-related incidents begin to appear consistently after the first few months. Motor vehicle thefts are reported around the mid-point, followed by a mix of thefts, criminal damage, and weapons violations in the latter months. The frequency of battery incidents increases significantly in the later stages, indicating a trend towards more violent crimes as time progresses. Overall, narcotics offenses and battery incidents are predominant in the latter part of the sequence." }, { "dim_process": 20, "seq_idx": 218, "seq_len": 44, "time_since_start": [ 0.0, 0.8228472222222222, 1.5634722222222222, 1.6424768518518518, 2.099814814814815, 2.2878935185185183, 2.643449074074074, 2.8624305555555556, 4.476157407407407, 4.522615740740741, 4.533842592592593, 4.826782407407407, 4.954282407407407, 5.294305555555556, 5.338449074074074, 6.021111111111111, 6.099236111111111, 7.423310185185185, 7.424467592592593, 7.567060185185185, 9.109305555555556, 9.96599537037037, 10.043217592592592, 10.317407407407407, 10.898472222222223, 12.002685185185186, 12.339884259259259, 12.665138888888889, 12.837199074074075, 13.620185185185186, 13.964212962962963, 14.193842592592592, 14.605949074074074, 15.493564814814814, 15.525625, 17.346851851851852, 18.560810185185186, 20.152708333333333, 20.195300925925928, 20.797615740740742, 21.273310185185185, 21.50872685185185, 22.602708333333332, 23.260300925925925 ], "time_since_last_event": [ 0.0, 0.8228472222222222, 0.740625, 0.07900462962962963, 0.457337962962963, 0.1880787037037037, 0.35555555555555557, 0.21898148148148147, 1.613726851851852, 0.04645833333333333, 0.011226851851851852, 0.2929398148148148, 0.1275, 0.34002314814814816, 0.04414351851851852, 0.682662037037037, 0.078125, 1.3240740740740742, 0.0011574074074074073, 0.1425925925925926, 1.5422453703703705, 0.8566898148148148, 0.07722222222222222, 0.2741898148148148, 0.5810648148148149, 1.104212962962963, 0.33719907407407407, 0.32525462962962964, 0.17206018518518518, 0.7829861111111112, 0.34402777777777777, 0.22962962962962963, 0.4121064814814815, 0.8876157407407408, 0.032060185185185185, 1.821226851851852, 1.2139583333333333, 1.5918981481481482, 0.04259259259259259, 0.6023148148148149, 0.4756944444444444, 0.23541666666666666, 1.0939814814814814, 0.6575925925925926 ], "type_event": [ 19, 9, 0, 7, 7, 10, 9, 0, 19, 8, 11, 8, 16, 18, 7, 2, 7, 3, 7, 7, 7, 11, 11, 11, 9, 3, 9, 10, 8, 7, 6, 11, 8, 0, 9, 7, 0, 7, 0, 10, 7, 4, 7, 8 ], "type_text": [ "Homicide", "Assault", "Theft", "Battery", "Battery", "Burglary", "Assault", "Theft", "Homicide", "Other Offense", "Robbery", "Other Offense", "Narcotics", "Public Peace Violation", "Battery", "Sex Offense", "Battery", "Deceptive Practice", "Battery", "Battery", "Battery", "Robbery", "Robbery", "Robbery", "Assault", "Deceptive Practice", "Assault", "Burglary", "Other Offense", "Battery", "Criminal Damage", "Robbery", "Other Offense", "Theft", "Assault", "Battery", "Theft", "Battery", "Theft", "Burglary", "Battery", "Motor Vehicle Theft", "Battery", "Other Offense" ], "description": "The sequence of crime incidents begins with a homicide and an assault occurring within the first few months, followed by various thefts and batteries that emerge in the subsequent months. A noticeable cluster of battery incidents appears around the 7 to 10-month mark, alongside several robberies. As time progresses, there is a mix of crime types, including thefts and assaults, with a recurring presence of batteries throughout the timeline. Towards the end of the sequence, other offenses and a motor vehicle theft are reported, indicating a diverse range of incidents occurring over time." }, { "dim_process": 20, "seq_idx": 219, "seq_len": 62, "time_since_start": [ 0.0, 0.13243055555555555, 0.17148148148148148, 0.5634953703703703, 1.4963194444444445, 1.6025, 2.459837962962963, 2.8449305555555555, 3.0294675925925927, 3.058125, 3.278263888888889, 3.618564814814815, 4.323402777777778, 4.696898148148148, 4.9936342592592595, 6.452916666666667, 6.560902777777778, 6.709791666666667, 6.819930555555556, 6.8998842592592595, 7.535949074074074, 7.535995370370371, 7.726967592592593, 8.39900462962963, 8.769675925925926, 9.172476851851853, 10.0675, 10.094421296296296, 10.096041666666666, 10.152965663580247, 10.294236111111111, 10.49537037037037, 10.660717592592592, 11.106273148148148, 11.178263888888889, 11.27224537037037, 11.391481481481481, 11.828888888888889, 11.836597222222222, 11.930763888888889, 12.001481481481482, 12.472199074074075, 12.661365740740742, 12.927199074074075, 13.039259259259259, 13.661712962962962, 13.827847222222223, 14.569907407407408, 15.004560185185186, 15.28625, 15.460856481481482, 15.530069444444445, 15.98625, 17.37261574074074, 17.548425925925926, 18.572708333333335, 19.024560185185184, 20.711597222222224, 21.00136574074074, 21.709675925925925, 22.232337962962962, 23.259166666666665 ], "time_since_last_event": [ 0.0, 0.13243055555555555, 0.039050925925925926, 0.3920138888888889, 0.9328240740740741, 0.10618055555555556, 0.8573379629629629, 0.3850925925925926, 0.18453703703703703, 0.028657407407407406, 0.22013888888888888, 0.3403009259259259, 0.704837962962963, 0.3734953703703704, 0.2967361111111111, 1.4592824074074073, 0.10798611111111112, 0.14888888888888888, 0.11013888888888888, 0.07995370370370371, 0.6360648148148148, 4.6296296296296294e-05, 0.1909722222222222, 0.672037037037037, 0.3706712962962963, 0.4028009259259259, 0.8950231481481481, 0.026921296296296297, 0.0016203703703703703, 0.056923996913580244, 0.1412704475308642, 0.20113425925925926, 0.16534722222222223, 0.44555555555555554, 0.07199074074074074, 0.09398148148148149, 0.11923611111111111, 0.4374074074074074, 0.0077083333333333335, 0.09416666666666666, 0.0707175925925926, 0.4707175925925926, 0.18916666666666668, 0.2658333333333333, 0.11206018518518518, 0.6224537037037037, 0.16613425925925926, 0.7420601851851852, 0.4346527777777778, 0.2816898148148148, 0.17460648148148147, 0.06921296296296296, 0.45618055555555553, 1.3863657407407408, 0.17581018518518518, 1.0242824074074075, 0.45185185185185184, 1.6870370370370371, 0.28976851851851854, 0.7083101851851852, 0.5226620370370371, 1.0268287037037036 ], "type_event": [ 16, 4, 16, 16, 11, 7, 16, 3, 16, 7, 8, 7, 16, 16, 16, 19, 16, 1, 0, 16, 7, 6, 16, 6, 9, 7, 16, 16, 16, 1, 16, 16, 16, 16, 16, 16, 16, 16, 6, 16, 16, 16, 16, 7, 16, 16, 16, 16, 16, 16, 16, 19, 16, 16, 11, 7, 10, 7, 16, 16, 16, 9 ], "type_text": [ "Narcotics", "Motor Vehicle Theft", "Narcotics", "Narcotics", "Robbery", "Battery", "Narcotics", "Deceptive Practice", "Narcotics", "Battery", "Other Offense", "Battery", "Narcotics", "Narcotics", "Narcotics", "Homicide", "Narcotics", "Weapons Violation", "Theft", "Narcotics", "Battery", "Criminal Damage", "Narcotics", "Criminal Damage", "Assault", "Battery", "Narcotics", "Narcotics", "Narcotics", "Weapons Violation", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Criminal Damage", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Battery", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Narcotics", "Homicide", "Narcotics", "Narcotics", "Robbery", "Battery", "Burglary", "Battery", "Narcotics", "Narcotics", "Narcotics", "Assault" ], "description": "The sequence of crime incidents begins with narcotics-related offenses occurring early on, followed by a mix of motor vehicle theft and robbery shortly after. As time progresses, narcotics incidents continue to dominate the timeline, with several clusters appearing at various intervals, particularly around the 10 to 15-month mark. Battery offenses also appear intermittently, with notable instances occurring after the initial narcotics reports. Homicides are recorded at two points, with one occurring around the 6-month mark and another later in the sequence, while other crime types like theft and burglary appear less frequently. Overall, narcotics offenses are the most prevalent throughout the timeline, with other types of crimes appearing in a more sporadic manner." }, { "dim_process": 20, "seq_idx": 220, "seq_len": 32, "time_since_start": [ 0.0, 0.9104166666666667, 2.7426157407407405, 2.9881944444444444, 4.244259259259259, 4.261805555555555, 4.290277777777778, 4.324305555555555, 4.421018518518519, 4.910185185185185, 7.464583333333334, 7.756944444444445, 7.956944444444445, 8.325462962962963, 9.386805555555556, 11.332638888888889, 11.442708333333334, 11.821527777777778, 12.191666666666666, 12.692638888888888, 12.693055555555556, 13.90650462962963, 15.754861111111111, 17.04513888888889, 17.895138888888887, 17.912037037037038, 18.054513888888888, 18.197916666666668, 18.221527777777776, 19.78125, 20.48263888888889, 20.788194444444443 ], "time_since_last_event": [ 0.0, 0.9104166666666667, 1.8321990740740741, 0.24557870370370372, 1.2560648148148148, 0.017546296296296296, 0.02847222222222222, 0.034027777777777775, 0.09671296296296296, 0.4891666666666667, 2.5543981481481484, 0.2923611111111111, 0.2, 0.3685185185185185, 1.0613425925925926, 1.9458333333333333, 0.11006944444444444, 0.37881944444444443, 0.3701388888888889, 0.5009722222222223, 0.0004166666666666667, 1.213449074074074, 1.8483564814814815, 1.2902777777777779, 0.85, 0.016898148148148148, 0.14247685185185185, 0.14340277777777777, 0.02361111111111111, 1.5597222222222222, 0.7013888888888888, 0.3055555555555556 ], "type_event": [ 11, 3, 8, 7, 7, 4, 4, 0, 8, 0, 4, 4, 0, 11, 4, 11, 4, 3, 11, 16, 16, 6, 4, 0, 7, 11, 4, 0, 0, 4, 4, 4 ], "type_text": [ "Robbery", "Deceptive Practice", "Other Offense", "Battery", "Battery", "Motor Vehicle Theft", "Motor Vehicle Theft", "Theft", "Other Offense", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Theft", "Robbery", "Motor Vehicle Theft", "Robbery", "Motor Vehicle Theft", "Deceptive Practice", "Robbery", "Narcotics", "Narcotics", "Criminal Damage", "Motor Vehicle Theft", "Theft", "Battery", "Robbery", "Motor Vehicle Theft", "Theft", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft" ], "description": "The sequence of crime incidents shows a variety of offenses occurring over time, with notable clusters of specific crime types. Initially, robberies and deceptive practices are reported, followed by a mix of other offenses and batteries within the first few months. A significant concentration of motor vehicle thefts emerges around the four-month mark, continuing to appear frequently in subsequent months. The pattern indicates that theft-related incidents, including both motor vehicle thefts and general thefts, become more prevalent as time progresses, particularly after the seven-month mark, while robberies and narcotics offenses also appear intermittently throughout the sequence." }, { "dim_process": 20, "seq_idx": 221, "seq_len": 112, "time_since_start": [ 0.0, 0.06180555555555556, 0.2574074074074074, 0.2712962962962963, 0.4045138888888889, 0.46912037037037035, 0.7256481481481482, 0.8782407407407408, 0.8805324074074075, 1.155324074074074, 1.2185185185185186, 1.2385416666666667, 1.2886574074074073, 1.2949074074074074, 1.389351851851852, 1.6087962962962963, 1.799074074074074, 1.8247685185185185, 1.8930092592592593, 2.231921296296296, 2.412615740740741, 3.0671296296296298, 3.4916666666666667, 3.753935185185185, 3.9125694444444443, 4.372685185185185, 4.717129629629629, 4.776851851851852, 5.4284027777777775, 5.725462962962963, 5.948379629629629, 6.160185185185185, 6.325462962962963, 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15.768703703703704, 15.774074074074074, 16.34212962962963, 17.006805555555555, 17.105925925925927, 17.203935185185184, 17.59548611111111, 17.885185185185186, 18.49738425925926, 18.53449074074074, 18.637962962962963, 18.667824074074073, 19.49212962962963, 20.03796296296296, 20.593657407407406, 20.856712962962963, 21.175486111111113, 21.32025462962963, 21.74074074074074, 21.774074074074075, 21.84351851851852, 21.973125, 22.086435185185184, 22.237962962962964, 22.621296296296297, 22.858796296296298, 23.56712962962963, 23.92476851851852 ], "time_since_last_event": [ 0.0, 0.06180555555555556, 0.19560185185185186, 0.013888888888888888, 0.13321759259259258, 0.06460648148148149, 0.2565277777777778, 0.15259259259259259, 0.0022916666666666667, 0.27479166666666666, 0.06319444444444444, 0.020023148148148148, 0.05011574074074074, 0.00625, 0.09444444444444444, 0.21944444444444444, 0.19027777777777777, 0.025694444444444443, 0.06824074074074074, 0.33891203703703704, 0.18069444444444444, 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0.03194444444444444, 0.2388888888888889, 0.17222222222222222, 0.24560185185185185, 0.1112962962962963, 0.05976851851851852, 0.071875, 0.1617824074074074, 0.2038888888888889, 0.13745370370370372, 0.1752314814814815, 0.02199074074074074, 0.1295138888888889, 0.1081712962962963, 0.00537037037037037, 0.5680555555555555, 0.664675925925926, 0.09912037037037037, 0.09800925925925925, 0.39155092592592594, 0.2896990740740741, 0.612199074074074, 0.03710648148148148, 0.10347222222222222, 0.029861111111111113, 0.8243055555555555, 0.5458333333333333, 0.5556944444444445, 0.26305555555555554, 0.31877314814814817, 0.14476851851851852, 0.4204861111111111, 0.03333333333333333, 0.06944444444444445, 0.1296064814814815, 0.11331018518518518, 0.1515277777777778, 0.38333333333333336, 0.2375, 0.7083333333333334, 0.3576388888888889 ], "type_event": [ 11, 11, 6, 0, 11, 2, 11, 7, 10, 0, 10, 11, 6, 9, 10, 4, 3, 6, 0, 13, 6, 7, 8, 7, 7, 4, 10, 0, 7, 0, 4, 2, 0, 4, 0, 4, 4, 6, 7, 4, 4, 0, 5, 4, 6, 6, 6, 7, 7, 10, 8, 6, 7, 7, 0, 3, 4, 8, 9, 0, 4, 9, 7, 8, 0, 1, 14, 16, 4, 4, 0, 9, 4, 0, 0, 8, 0, 0, 0, 7, 13, 11, 4, 3, 0, 0, 0, 9, 0, 6, 9, 8, 7, 8, 0, 11, 3, 4, 3, 10, 0, 8, 4, 4, 4, 9, 8, 4, 4, 7, 4, 0 ], "type_text": [ "Robbery", "Robbery", "Criminal Damage", "Theft", "Robbery", "Sex Offense", "Robbery", "Battery", "Burglary", "Theft", "Burglary", "Robbery", "Criminal Damage", "Assault", "Burglary", "Motor Vehicle Theft", "Deceptive Practice", "Criminal Damage", "Theft", "Offense Involving Children", "Criminal Damage", "Battery", "Other Offense", "Battery", "Battery", "Motor Vehicle Theft", "Burglary", "Theft", "Battery", "Theft", "Motor Vehicle Theft", "Sex Offense", "Theft", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Criminal Damage", "Battery", "Motor Vehicle Theft", "Motor Vehicle Theft", "Theft", "Criminal Trespass", "Motor Vehicle Theft", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Battery", "Battery", "Burglary", "Other Offense", "Criminal Damage", "Battery", "Battery", "Theft", "Deceptive Practice", "Motor Vehicle Theft", "Other Offense", "Assault", "Theft", "Motor Vehicle Theft", "Assault", "Battery", "Other Offense", "Theft", "Weapons Violation", "Criminal Sexual Assault", "Narcotics", "Motor Vehicle Theft", "Motor Vehicle Theft", "Theft", "Assault", "Motor Vehicle Theft", "Theft", "Theft", "Other Offense", "Theft", "Theft", "Theft", "Battery", "Offense Involving Children", "Robbery", "Motor Vehicle Theft", "Deceptive Practice", "Theft", "Theft", "Theft", "Assault", "Theft", "Criminal Damage", "Assault", "Other Offense", "Battery", "Other Offense", "Theft", "Robbery", "Deceptive Practice", "Motor Vehicle Theft", "Deceptive Practice", "Burglary", "Theft", "Other Offense", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Assault", "Other Offense", "Motor Vehicle Theft", "Motor Vehicle Theft", "Battery", "Motor Vehicle Theft", "Theft" ], "description": "The sequence of crime incidents shows a fluctuating pattern over time, with various types of crimes occurring throughout the observed period. Robberies and thefts appear frequently in the early months, while motor vehicle thefts become more prominent in the later months. Criminal damage incidents are also noted at various intervals, with a notable clustering of battery incidents occurring around the mid to late period. Other offenses and assaults appear sporadically, with a gradual increase in the variety of crime types as time progresses. Overall, there is a trend of increasing complexity and frequency of incidents as the timeline advances." }, { "dim_process": 20, "seq_idx": 222, "seq_len": 43, "time_since_start": [ 0.0, 2.2336342592592593, 2.6433564814814816, 3.185347222222222, 3.4006944444444445, 3.4393055555555554, 3.575300925925926, 4.23886574074074, 6.207453703703703, 7.740115740740741, 7.740231481481482, 8.13775462962963, 8.400300925925926, 8.976296296296296, 9.603078703703703, 11.57113425925926, 11.647546296296296, 11.878078703703704, 12.456782407407408, 12.482060185185185, 14.174305555555556, 15.01125, 15.230856481481482, 15.939652777777777, 16.41141203703704, 17.078078703703703, 19.100300925925925, 19.47215277777778, 19.525300925925926, 20.262453703703702, 20.784166666666668, 20.852430555555557, 21.087245370370372, 21.216574074074074, 21.216967592592592, 21.251689814814814, 21.28386574074074, 21.430393518518517, 21.50724537037037, 22.067013888888887, 22.281712962962963, 22.294050925925927, 22.526689814814816 ], "time_since_last_event": [ 0.0, 2.2336342592592593, 0.4097222222222222, 0.5419907407407407, 0.21534722222222222, 0.03861111111111111, 0.13599537037037038, 0.6635648148148148, 1.968587962962963, 1.532662037037037, 0.00011574074074074075, 0.39752314814814815, 0.2625462962962963, 0.5759953703703704, 0.6267824074074074, 1.9680555555555554, 0.07641203703703704, 0.2305324074074074, 0.5787037037037037, 0.025277777777777777, 1.6922453703703704, 0.8369444444444445, 0.21960648148148149, 0.7087962962962963, 0.47175925925925927, 0.6666666666666666, 2.022222222222222, 0.3718518518518519, 0.053148148148148146, 0.7371527777777778, 0.521712962962963, 0.06826388888888889, 0.2348148148148148, 0.1293287037037037, 0.0003935185185185185, 0.034722222222222224, 0.03217592592592593, 0.14652777777777778, 0.07685185185185185, 0.5597685185185185, 0.21469907407407407, 0.012337962962962964, 0.2326388888888889 ], "type_event": [ 8, 6, 0, 7, 7, 7, 13, 7, 7, 7, 7, 7, 14, 7, 3, 8, 7, 9, 11, 6, 9, 8, 7, 7, 7, 4, 6, 16, 11, 8, 6, 9, 9, 7, 4, 7, 6, 11, 0, 18, 7, 7, 4 ], "type_text": [ "Other Offense", "Criminal Damage", "Theft", "Battery", "Battery", "Battery", "Offense Involving Children", "Battery", "Battery", "Battery", "Battery", "Battery", "Criminal Sexual Assault", "Battery", "Deceptive Practice", "Other Offense", "Battery", "Assault", "Robbery", "Criminal Damage", "Assault", "Other Offense", "Battery", "Battery", "Battery", "Motor Vehicle Theft", "Criminal Damage", "Narcotics", "Robbery", "Other Offense", "Criminal Damage", "Assault", "Assault", "Battery", "Motor Vehicle Theft", "Battery", "Criminal Damage", "Robbery", "Theft", "Public Peace Violation", "Battery", "Battery", "Motor Vehicle Theft" ], "description": "The sequence of crime incidents shows a gradual increase in reported offenses over time, with a notable clustering of battery incidents occurring between the third and eighth months. Other offenses and criminal damage appear throughout the timeline but are more sporadic. The incidents of robbery and motor vehicle theft emerge later in the sequence, indicating a shift in the types of crimes reported as time progresses. Overall, the data reflects a concentration of battery-related offenses in the earlier months, with a diversification of crime types appearing as the timeline advances." }, { "dim_process": 20, "seq_idx": 223, "seq_len": 52, "time_since_start": [ 0.0, 1.9431712962962964, 2.8743055555555554, 3.254861111111111, 4.480555555555555, 4.4840277777777775, 5.013703703703704, 5.484467592592592, 5.7518518518518515, 6.006944444444445, 6.308796296296296, 6.509027777777778, 6.585416666666666, 7.684027777777778, 7.964583333333334, 10.184027777777779, 10.238194444444444, 10.310416666666667, 10.579166666666667, 11.013194444444444, 11.699305555555556, 11.975694444444445, 12.729861111111111, 14.217361111111112, 14.916296296296297, 14.946296296296296, 15.264351851851853, 15.96412037037037, 16.242592592592594, 16.402638888888887, 16.443287037037038, 16.61435185185185, 16.71875, 16.731944444444444, 16.743055555555557, 16.89560185185185, 17.719791666666666, 17.862152777777776, 18.75233796296296, 18.915046296296296, 19.481944444444444, 19.71462962962963, 20.461111111111112, 20.597916666666666, 21.464583333333334, 22.113194444444446, 22.83736111111111, 22.93888888888889, 23.104166666666668, 23.40277777777778, 23.4725, 23.614583333333332 ], "time_since_last_event": [ 0.0, 1.9431712962962964, 0.9311342592592593, 0.38055555555555554, 1.2256944444444444, 0.003472222222222222, 0.5296759259259259, 0.47076388888888887, 0.26738425925925924, 0.2550925925925926, 0.30185185185185187, 0.20023148148148148, 0.0763888888888889, 1.0986111111111112, 0.28055555555555556, 2.2194444444444446, 0.05416666666666667, 0.07222222222222222, 0.26875, 0.4340277777777778, 0.6861111111111111, 0.2763888888888889, 0.7541666666666667, 1.4875, 0.6989351851851852, 0.03, 0.31805555555555554, 0.6997685185185185, 0.27847222222222223, 0.1600462962962963, 0.04064814814814815, 0.1710648148148148, 0.10439814814814814, 0.013194444444444444, 0.011111111111111112, 0.1525462962962963, 0.8241898148148148, 0.1423611111111111, 0.8901851851851852, 0.16270833333333334, 0.5668981481481481, 0.2326851851851852, 0.7464814814814815, 0.13680555555555557, 0.8666666666666667, 0.6486111111111111, 0.7241666666666666, 0.10152777777777777, 0.16527777777777777, 0.2986111111111111, 0.06972222222222223, 0.14208333333333334 ], "type_event": [ 6, 9, 4, 11, 9, 9, 1, 1, 4, 7, 11, 4, 3, 6, 5, 0, 0, 0, 4, 0, 6, 4, 3, 4, 7, 6, 6, 9, 6, 8, 0, 6, 3, 8, 4, 7, 11, 6, 0, 1, 4, 9, 4, 9, 11, 4, 8, 0, 7, 4, 8, 8 ], "type_text": [ "Criminal Damage", "Assault", "Motor Vehicle Theft", "Robbery", "Assault", "Assault", "Weapons Violation", "Weapons Violation", "Motor Vehicle Theft", "Battery", "Robbery", "Motor Vehicle Theft", "Deceptive Practice", "Criminal Damage", "Criminal Trespass", "Theft", "Theft", "Theft", "Motor Vehicle Theft", "Theft", "Criminal Damage", "Motor Vehicle Theft", "Deceptive Practice", "Motor Vehicle Theft", "Battery", "Criminal Damage", "Criminal Damage", "Assault", "Criminal Damage", "Other Offense", "Theft", "Criminal Damage", "Deceptive Practice", "Other Offense", "Motor Vehicle Theft", "Battery", "Robbery", "Criminal Damage", "Theft", "Weapons Violation", "Motor Vehicle Theft", "Assault", "Motor Vehicle Theft", "Assault", "Robbery", "Motor Vehicle Theft", "Other Offense", "Theft", "Battery", "Motor Vehicle Theft", "Other Offense", "Other Offense" ], "description": "The sequence of crime incidents begins with Criminal Damage and progresses through various crime types, including Assault, Motor Vehicle Theft, and Robbery. Early incidents primarily consist of Assaults and Criminal Damage, while Motor Vehicle Theft becomes more prevalent in the middle to later stages of the timeline. The latter part of the sequence shows a noticeable clustering of Theft incidents, alongside a consistent presence of Criminal Damage and Motor Vehicle Theft. Overall, there is a trend of increasing complexity in the types of offenses reported as time progresses, with certain crime types appearing in clusters and recurring throughout the timeline." }, { "dim_process": 20, "seq_idx": 224, "seq_len": 58, "time_since_start": [ 0.0, 0.0019675925925925924, 0.2984953703703704, 0.44849537037037035, 2.01875, 2.513078703703704, 2.781851851851852, 5.362291666666667, 5.881828703703704, 6.238773148148148, 6.5443287037037035, 7.062384259259259, 7.173495370370371, 7.281828703703703, 7.288587962962963, 8.031828703703704, 9.326967592592593, 10.747453703703703, 10.915162037037037, 11.128912037037036, 12.544328703703703, 12.59710648148148, 12.676157407407407, 13.133217592592592, 13.248495370370371, 13.500578703703704, 13.610069444444445, 13.671064814814814, 13.801273148148148, 14.06238425925926, 14.195717592592592, 14.629050925925926, 14.995601851851852, 16.59849537037037, 16.877662037037037, 16.90196759259259, 17.381828703703704, 17.410833333333333, 18.13738425925926, 18.207708333333333, 18.305439814814815, 18.505439814814814, 18.545023148148147, 18.583078703703702, 18.602083333333333, 18.60821759259259, 19.077662037037037, 19.43372685185185, 19.451273148148147, 19.880555555555556, 20.217939814814816, 20.26238425925926, 20.408217592592592, 20.79571759259259, 22.174189814814813, 22.315162037037037, 23.800763888888888, 24.140625 ], "time_since_last_event": [ 0.0, 0.0019675925925925924, 0.2965277777777778, 0.15, 1.5702546296296296, 0.4943287037037037, 0.2687731481481481, 2.580439814814815, 0.519537037037037, 0.35694444444444445, 0.3055555555555556, 0.5180555555555556, 0.1111111111111111, 0.10833333333333334, 0.006759259259259259, 0.7432407407407408, 1.2951388888888888, 1.4204861111111111, 0.16770833333333332, 0.21375, 1.4154166666666668, 0.05277777777777778, 0.07905092592592593, 0.4570601851851852, 0.11527777777777778, 0.2520833333333333, 0.10949074074074074, 0.06099537037037037, 0.13020833333333334, 0.2611111111111111, 0.13333333333333333, 0.43333333333333335, 0.3665509259259259, 1.6028935185185185, 0.2791666666666667, 0.024305555555555556, 0.4798611111111111, 0.02900462962962963, 0.726550925925926, 0.07032407407407408, 0.09773148148148147, 0.2, 0.03958333333333333, 0.03805555555555556, 0.019004629629629628, 0.0061342592592592594, 0.46944444444444444, 0.35606481481481483, 0.017546296296296296, 0.4292824074074074, 0.33738425925925924, 0.044444444444444446, 0.14583333333333334, 0.3875, 1.3784722222222223, 0.14097222222222222, 1.485601851851852, 0.3398611111111111 ], "type_event": [ 8, 8, 9, 0, 6, 7, 8, 8, 4, 7, 0, 0, 0, 6, 1, 0, 0, 0, 11, 8, 4, 4, 6, 4, 0, 9, 4, 7, 8, 3, 0, 3, 8, 8, 9, 7, 0, 7, 0, 9, 4, 4, 4, 6, 16, 9, 0, 11, 9, 0, 4, 0, 4, 0, 0, 9, 1, 7 ], "type_text": [ "Other Offense", "Other Offense", "Assault", "Theft", "Criminal Damage", "Battery", "Other Offense", "Other Offense", "Motor Vehicle Theft", "Battery", "Theft", "Theft", "Theft", "Criminal Damage", "Weapons Violation", "Theft", "Theft", "Theft", "Robbery", "Other Offense", "Motor Vehicle Theft", "Motor Vehicle Theft", "Criminal Damage", "Motor Vehicle Theft", "Theft", "Assault", "Motor Vehicle Theft", "Battery", "Other Offense", "Deceptive Practice", "Theft", "Deceptive Practice", "Other Offense", "Other Offense", "Assault", "Battery", "Theft", "Battery", "Theft", "Assault", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Criminal Damage", "Narcotics", "Assault", "Theft", "Robbery", "Assault", "Theft", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Theft", "Theft", "Assault", "Weapons Violation", "Battery" ], "description": "The sequence of crime incidents in the block shows a pattern where \"Other Offense\" and \"Theft\" are prevalent early on, with multiple occurrences within the first few months. As time progresses, incidents of \"Assault,\" \"Battery,\" and \"Motor Vehicle Theft\" begin to cluster, particularly around the 13 to 20-month mark. There is a notable increase in \"Theft\" incidents towards the later months, with several reported in succession. Additionally, \"Criminal Damage\" and \"Robbery\" appear intermittently throughout the timeline, with \"Motor Vehicle Theft\" becoming more frequent as the sequence advances. Overall, the data reflects a shift in crime types over time, with certain offenses becoming more prominent in specific periods." }, { "dim_process": 20, "seq_idx": 225, "seq_len": 49, "time_since_start": [ 0.0, 0.09703703703703703, 0.3017824074074074, 1.0588425925925926, 1.626226851851852, 2.4289814814814816, 2.828287037037037, 3.1022685185185184, 5.166087962962963, 5.197037037037037, 5.811041666666667, 5.881759259259259, 6.831759259259259, 6.863449074074074, 7.802013888888889, 8.087314814814814, 8.115787037037038, 9.63587962962963, 10.752824074074073, 10.775509259259259, 10.965555555555556, 11.03625, 11.500162037037038, 11.628935185185185, 12.742175925925926, 13.367175925925926, 14.065787037037037, 14.227592592592593, 14.258263888888889, 14.371134259259259, 14.665787037037036, 16.13453703703704, 16.22828703703704, 16.248078703703705, 16.381875, 17.067870370370372, 17.09425925925926, 17.301203703703703, 18.708842592592593, 19.463703703703704, 19.464050925925925, 19.863587962962963, 19.865092592592593, 20.066689814814815, 20.367268518518518, 20.587314814814814, 21.035925925925927, 21.300810185185185, 21.302662037037038 ], "time_since_last_event": [ 0.0, 0.09703703703703703, 0.20474537037037038, 0.7570601851851851, 0.5673842592592593, 0.8027546296296296, 0.3993055555555556, 0.2739814814814815, 2.0638194444444444, 0.030949074074074073, 0.6140046296296297, 0.0707175925925926, 0.95, 0.031689814814814816, 0.9385648148148148, 0.28530092592592593, 0.02847222222222222, 1.5200925925925926, 1.1169444444444445, 0.022685185185185187, 0.1900462962962963, 0.07069444444444445, 0.46391203703703704, 0.12877314814814814, 1.1132407407407408, 0.625, 0.6986111111111111, 0.16180555555555556, 0.030671296296296297, 0.11287037037037037, 0.29465277777777776, 1.46875, 0.09375, 0.019791666666666666, 0.1337962962962963, 0.6859953703703704, 0.02638888888888889, 0.20694444444444443, 1.4076388888888889, 0.7548611111111111, 0.00034722222222222224, 0.399537037037037, 0.0015046296296296296, 0.20159722222222223, 0.3005787037037037, 0.2200462962962963, 0.4486111111111111, 0.26488425925925924, 0.001851851851851852 ], "type_event": [ 3, 7, 7, 7, 1, 0, 11, 6, 7, 0, 9, 0, 7, 7, 11, 0, 8, 7, 0, 0, 7, 11, 7, 6, 9, 0, 0, 6, 7, 1, 7, 9, 0, 4, 7, 7, 0, 4, 0, 11, 11, 11, 11, 11, 7, 0, 4, 0, 7 ], "type_text": [ "Deceptive Practice", "Battery", "Battery", "Battery", "Weapons Violation", "Theft", "Robbery", "Criminal Damage", "Battery", "Theft", "Assault", "Theft", "Battery", "Battery", "Robbery", "Theft", "Other Offense", "Battery", "Theft", "Theft", "Battery", "Robbery", "Battery", "Criminal Damage", "Assault", "Theft", "Theft", "Criminal Damage", "Battery", "Weapons Violation", "Battery", "Assault", "Theft", "Motor Vehicle Theft", "Battery", "Battery", "Theft", "Motor Vehicle Theft", "Theft", "Robbery", "Robbery", "Robbery", "Robbery", "Robbery", "Battery", "Theft", "Motor Vehicle Theft", "Theft", "Battery" ], "description": "The sequence of crime incidents shows a variety of offenses reported over time, with certain types of crimes occurring more frequently at specific intervals. Initially, incidents of Battery and Deceptive Practice are reported within the first few months, followed by a notable increase in Theft and Robbery incidents around the 8 to 20-month mark. There is a clustering of Battery incidents towards the later months, particularly between the 14 and 21-month range, alongside a consistent presence of Theft and Robbery events throughout the sequence. Criminal Damage and Weapons Violations appear sporadically, contributing to the overall trend of increasing crime frequency as time progresses." }, { "dim_process": 20, "seq_idx": 226, "seq_len": 32, "time_since_start": [ 0.0, 1.2106018518518518, 1.3451388888888889, 1.7662037037037037, 2.176203703703704, 3.1770833333333335, 4.665046296296296, 5.660462962962963, 7.678055555555556, 7.932175925925926, 10.210416666666667, 10.716921296296297, 10.896921296296297, 11.17824074074074, 11.566203703703703, 11.712569444444444, 14.391736111111111, 15.345671296296297, 15.345833333333333, 16.24537037037037, 16.53289351851852, 17.53148148148148, 17.638078703703705, 17.708333333333332, 18.27974537037037, 18.349305555555556, 18.83877314814815, 18.916412037037038, 19.181898148148147, 19.93425925925926, 20.793287037037036, 21.230486111111112 ], "time_since_last_event": [ 0.0, 1.2106018518518518, 0.13453703703703704, 0.42106481481481484, 0.41, 1.0008796296296296, 1.487962962962963, 0.9954166666666666, 2.0175925925925924, 0.2541203703703704, 2.2782407407407406, 0.5065046296296296, 0.18, 0.28131944444444446, 0.38796296296296295, 0.14636574074074074, 2.6791666666666667, 0.9539351851851852, 0.00016203703703703703, 0.899537037037037, 0.28752314814814817, 0.9985879629629629, 0.10659722222222222, 0.07025462962962963, 0.571412037037037, 0.06956018518518518, 0.4894675925925926, 0.07763888888888888, 0.2654861111111111, 0.7523611111111111, 0.8590277777777777, 0.4371990740740741 ], "type_event": [ 1, 8, 7, 5, 16, 16, 8, 16, 8, 4, 11, 16, 16, 1, 7, 1, 7, 7, 7, 7, 9, 11, 0, 1, 7, 6, 7, 4, 7, 11, 9, 7 ], "type_text": [ "Weapons Violation", "Other Offense", "Battery", "Criminal Trespass", "Narcotics", "Narcotics", "Other Offense", "Narcotics", "Other Offense", "Motor Vehicle Theft", "Robbery", "Narcotics", "Narcotics", "Weapons Violation", "Battery", "Weapons Violation", "Battery", "Battery", "Battery", "Battery", "Assault", "Robbery", "Theft", "Weapons Violation", "Battery", "Criminal Damage", "Battery", "Motor Vehicle Theft", "Battery", "Robbery", "Assault", "Battery" ], "description": "The sequence of crime incidents shows a progression of various offenses over time, with certain types of crimes appearing more frequently during specific periods. Initially, there is a mix of weapons violations, other offenses, and battery incidents within the first few months. As time progresses, narcotics offenses emerge prominently, followed by a notable increase in battery incidents around the 14 to 21-month mark. Robberies and thefts also appear later in the timeline, suggesting a clustering of certain crime types towards the latter part of the sequence, particularly battery and robbery." }, { "dim_process": 20, "seq_idx": 227, "seq_len": 48, "time_since_start": [ 0.0, 3.0947916666666666, 3.095138888888889, 4.8440972222222225, 4.888541666666667, 4.928125, 5.435069444444444, 5.795486111111111, 5.852199074074074, 6.271875, 6.483796296296297, 6.53125, 6.542731481481481, 6.7399305555555555, 7.076319444444445, 7.1777546296296295, 8.357013888888888, 8.752199074074074, 8.822569444444444, 9.138541666666667, 9.318402777777777, 9.748611111111112, 9.792708333333334, 10.261458333333334, 10.355856481481482, 10.357291666666667, 10.536875, 10.561458333333333, 10.593240740740741, 10.62861111111111, 10.727430555555555, 10.846296296296297, 11.297569444444445, 11.910763888888889, 13.723287037037037, 14.875694444444445, 16.451273148148147, 16.756597222222222, 17.558680555555554, 17.855208333333334, 18.029351851851853, 18.15636574074074, 19.567939814814814, 19.568402777777777, 19.803819444444443, 21.99451388888889, 22.12622685185185, 22.505208333333332 ], "time_since_last_event": [ 0.0, 3.0947916666666666, 0.00034722222222222224, 1.7489583333333334, 0.044444444444444446, 0.03958333333333333, 0.5069444444444444, 0.36041666666666666, 0.056712962962962965, 0.41967592592592595, 0.2119212962962963, 0.047453703703703706, 0.011481481481481481, 0.19719907407407408, 0.3363888888888889, 0.10143518518518518, 1.1792592592592592, 0.3951851851851852, 0.07037037037037037, 0.3159722222222222, 0.1798611111111111, 0.43020833333333336, 0.044097222222222225, 0.46875, 0.09439814814814815, 0.0014351851851851852, 0.17958333333333334, 0.024583333333333332, 0.031782407407407405, 0.03537037037037037, 0.09881944444444445, 0.11886574074074074, 0.4512731481481482, 0.6131944444444445, 1.812523148148148, 1.1524074074074073, 1.5755787037037037, 0.3053240740740741, 0.8020833333333334, 0.2965277777777778, 0.17414351851851853, 0.1270138888888889, 1.411574074074074, 0.000462962962962963, 0.23541666666666666, 2.1906944444444445, 0.13171296296296298, 0.3789814814814815 ], "type_event": [ 7, 1, 1, 8, 0, 7, 4, 3, 4, 6, 7, 7, 4, 4, 7, 11, 9, 7, 9, 0, 7, 7, 7, 7, 0, 7, 11, 4, 9, 1, 10, 7, 9, 0, 9, 6, 7, 4, 0, 4, 1, 4, 4, 4, 6, 0, 3, 4 ], "type_text": [ "Battery", "Weapons Violation", "Weapons Violation", "Other Offense", "Theft", "Battery", "Motor Vehicle Theft", "Deceptive Practice", "Motor Vehicle Theft", "Criminal Damage", "Battery", "Battery", "Motor Vehicle Theft", "Motor Vehicle Theft", "Battery", "Robbery", "Assault", "Battery", "Assault", "Theft", "Battery", "Battery", "Battery", "Battery", "Theft", "Battery", "Robbery", "Motor Vehicle Theft", "Assault", "Weapons Violation", "Burglary", "Battery", "Assault", "Theft", "Assault", "Criminal Damage", "Battery", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Weapons Violation", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Criminal Damage", "Theft", "Deceptive Practice", "Motor Vehicle Theft" ], "description": "The sequence of crime incidents shows a progression of various crime types over time, with certain patterns emerging. Initially, battery and weapons violations are reported, followed by a mix of theft and motor vehicle theft incidents as time progresses. A notable clustering of battery incidents occurs between the 6th and 10th months, while motor vehicle thefts appear more frequently in the later months. The sequence also indicates a rise in theft and assault incidents towards the latter part of the timeline, suggesting a diverse range of offenses occurring throughout the period." }, { "dim_process": 20, "seq_idx": 228, "seq_len": 34, "time_since_start": [ 0.0, 0.31252314814814813, 1.6333333333333333, 2.6752083333333334, 2.6791666666666667, 2.936111111111111, 3.4791666666666665, 4.144675925925926, 4.279166666666667, 4.3277777777777775, 4.822222222222222, 5.575694444444444, 5.597222222222222, 5.823611111111111, 7.735416666666667, 7.873611111111111, 8.092361111111112, 9.675694444444444, 10.363888888888889, 10.459027777777777, 10.459722222222222, 10.843055555555555, 11.309722222222222, 12.526666666666667, 12.636805555555556, 13.738888888888889, 14.172222222222222, 14.57638888888889, 15.043287037037038, 15.177777777777777, 15.945092592592593, 16.393055555555556, 19.16516203703704, 19.427083333333332 ], "time_since_last_event": [ 0.0, 0.31252314814814813, 1.3208101851851852, 1.041875, 0.003958333333333334, 0.2569444444444444, 0.5430555555555555, 0.6655092592592593, 0.13449074074074074, 0.04861111111111111, 0.49444444444444446, 0.7534722222222222, 0.021527777777777778, 0.2263888888888889, 1.9118055555555555, 0.13819444444444445, 0.21875, 1.5833333333333333, 0.6881944444444444, 0.09513888888888888, 0.0006944444444444445, 0.38333333333333336, 0.4666666666666667, 1.2169444444444444, 0.11013888888888888, 1.1020833333333333, 0.43333333333333335, 0.4041666666666667, 0.4668981481481482, 0.13449074074074074, 0.7673148148148148, 0.44796296296296295, 2.7721064814814813, 0.2619212962962963 ], "type_event": [ 0, 0, 6, 6, 6, 8, 0, 7, 6, 6, 4, 4, 4, 3, 14, 7, 9, 4, 6, 6, 6, 6, 9, 3, 0, 6, 6, 0, 1, 7, 1, 0, 6, 0 ], "type_text": [ "Theft", "Theft", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Other Offense", "Theft", "Battery", "Criminal Damage", "Criminal Damage", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Deceptive Practice", "Criminal Sexual Assault", "Battery", "Assault", "Motor Vehicle Theft", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Assault", "Deceptive Practice", "Theft", "Criminal Damage", "Criminal Damage", "Theft", "Weapons Violation", "Battery", "Weapons Violation", "Theft", "Criminal Damage", "Theft" ], "description": "The sequence of crime incidents begins with a series of thefts occurring within the first few months, followed by a notable increase in criminal damage incidents that cluster around the 2 to 4-month mark. As time progresses, other offenses such as battery and motor vehicle theft emerge, with motor vehicle theft incidents appearing prominently between 4 and 10 months. The sequence also shows a rise in violent crimes, including criminal sexual assault and assaults, around the 7 to 11-month period, before returning to a mix of theft and criminal damage incidents in the later months. Overall, thefts are consistently present throughout, while criminal damage appears to peak at various intervals." }, { "dim_process": 20, "seq_idx": 229, "seq_len": 37, "time_since_start": [ 0.0, 0.06400462962962963, 1.0805555555555555, 2.488425925925926, 3.2041666666666666, 5.919398148148148, 5.924305555555556, 5.99375, 6.188958333333333, 6.63125, 8.080509259259259, 8.714097222222222, 8.883101851851851, 8.907407407407407, 9.481458333333334, 12.005555555555556, 12.00625, 13.225972222222222, 14.29861111111111, 15.65912037037037, 15.722569444444444, 17.012615740740742, 18.125694444444445, 18.224537037037038, 18.99861111111111, 19.60178240740741, 19.995833333333334, 20.169444444444444, 20.175, 20.897083333333335, 21.783148148148147, 22.36236111111111, 22.589583333333334, 22.606944444444444, 22.623425925925925, 23.123680555555556, 23.7375 ], "time_since_last_event": [ 0.0, 0.06400462962962963, 1.016550925925926, 1.4078703703703703, 0.7157407407407408, 2.7152314814814815, 0.004907407407407407, 0.06944444444444445, 0.19520833333333334, 0.4422916666666667, 1.4492592592592592, 0.6335879629629629, 0.16900462962962962, 0.024305555555555556, 0.5740509259259259, 2.524097222222222, 0.0006944444444444445, 1.2197222222222222, 1.072638888888889, 1.3605092592592594, 0.06344907407407407, 1.2900462962962962, 1.1130787037037038, 0.09884259259259259, 0.774074074074074, 0.6031712962962963, 0.39405092592592594, 0.1736111111111111, 0.005555555555555556, 0.7220833333333333, 0.8860648148148148, 0.579212962962963, 0.22722222222222221, 0.017361111111111112, 0.016481481481481482, 0.5002546296296296, 0.6138194444444445 ], "type_event": [ 4, 9, 3, 3, 7, 16, 7, 0, 1, 6, 16, 1, 8, 7, 7, 6, 6, 16, 8, 1, 0, 11, 4, 11, 6, 6, 0, 4, 19, 7, 9, 7, 8, 6, 1, 11, 0 ], "type_text": [ "Motor Vehicle Theft", "Assault", "Deceptive Practice", "Deceptive Practice", "Battery", "Narcotics", "Battery", "Theft", "Weapons Violation", "Criminal Damage", "Narcotics", "Weapons Violation", "Other Offense", "Battery", "Battery", "Criminal Damage", "Criminal Damage", "Narcotics", "Other Offense", "Weapons Violation", "Theft", "Robbery", "Motor Vehicle Theft", "Robbery", "Criminal Damage", "Criminal Damage", "Theft", "Motor Vehicle Theft", "Homicide", "Battery", "Assault", "Battery", "Other Offense", "Criminal Damage", "Weapons Violation", "Robbery", "Theft" ], "description": "The sequence of crime incidents shows a gradual increase in the frequency and variety of offenses over time. Initial incidents, such as motor vehicle theft and assault, occur early in the timeline, followed by a mix of deceptive practices and battery incidents. As time progresses, there is a noticeable clustering of violent crimes, including multiple instances of battery and robbery, particularly in the later months. Additionally, property crimes such as theft and criminal damage appear frequently, with some events occurring in close succession. Overall, the data reflects a trend of escalating criminal activity, particularly in the latter half of the timeline." }, { "dim_process": 20, "seq_idx": 230, "seq_len": 38, "time_since_start": [ 0.0, 2.899814814814815, 3.2043518518518517, 3.45, 3.488101851851852, 6.543981481481482, 7.190277777777778, 10.622754629629629, 10.67986111111111, 11.301087962962963, 12.594837962962963, 13.715277777777779, 13.741828703703703, 13.815486111111111, 14.068148148148149, 14.53287037037037, 16.356944444444444, 16.5125, 16.533333333333335, 16.939583333333335, 18.25173611111111, 18.596527777777776, 20.09861111111111, 20.223680555555557, 20.454166666666666, 20.786875, 20.792384259259258, 21.098587962962963, 21.220833333333335, 21.54513888888889, 21.558310185185185, 21.94097222222222, 21.997222222222224, 22.492708333333333, 22.49398148148148, 23.618078703703702, 23.703449074074076, 24.102569444444445 ], "time_since_last_event": [ 0.0, 2.899814814814815, 0.30453703703703705, 0.24564814814814814, 0.03810185185185185, 3.05587962962963, 0.6462962962962963, 3.432476851851852, 0.05710648148148148, 0.6212268518518519, 1.29375, 1.120439814814815, 0.026550925925925926, 0.07365740740740741, 0.25266203703703705, 0.4647222222222222, 1.8240740740740742, 0.15555555555555556, 0.020833333333333332, 0.40625, 1.3121527777777777, 0.34479166666666666, 1.5020833333333334, 0.12506944444444446, 0.2304861111111111, 0.33270833333333333, 0.005509259259259259, 0.3062037037037037, 0.12224537037037037, 0.32430555555555557, 0.013171296296296296, 0.38266203703703705, 0.05625, 0.4954861111111111, 0.0012731481481481483, 1.1240972222222223, 0.08537037037037037, 0.39912037037037035 ], "type_event": [ 0, 1, 1, 9, 8, 7, 4, 6, 6, 9, 10, 0, 7, 7, 6, 7, 6, 4, 8, 4, 16, 0, 10, 8, 13, 8, 9, 7, 4, 8, 8, 11, 4, 1, 7, 18, 8, 8 ], "type_text": [ "Theft", "Weapons Violation", "Weapons Violation", "Assault", "Other Offense", "Battery", "Motor Vehicle Theft", "Criminal Damage", "Criminal Damage", "Assault", "Burglary", "Theft", "Battery", "Battery", "Criminal Damage", "Battery", "Criminal Damage", "Motor Vehicle Theft", "Other Offense", "Motor Vehicle Theft", "Narcotics", "Theft", "Burglary", "Other Offense", "Offense Involving Children", "Other Offense", "Assault", "Battery", "Motor Vehicle Theft", "Other Offense", "Other Offense", "Robbery", "Motor Vehicle Theft", "Weapons Violation", "Battery", "Public Peace Violation", "Other Offense", "Other Offense" ], "description": "The sequence of crime incidents shows a progression of events over time, with various types of offenses occurring at different intervals. Initially, thefts and weapons violations appear early in the timeline, followed by a mix of assaults and other offenses in the mid-range period. As time advances, there is a noticeable clustering of motor vehicle thefts and criminal damage incidents, particularly in the later months. The sequence also indicates a rise in other offenses and violent crimes, such as battery and robbery, towards the end of the timeline, suggesting an increase in criminal activity as time progresses." }, { "dim_process": 20, "seq_idx": 231, "seq_len": 65, "time_since_start": [ 0.0, 0.47314814814814815, 0.5720601851851852, 2.696203703703704, 2.7640277777777778, 2.7980324074074074, 2.91125, 3.4384259259259258, 3.9724537037037035, 3.986689814814815, 3.9939814814814816, 4.600925925925926, 4.601041666666666, 5.255925925925926, 6.254398148148148, 6.585648148148148, 6.586458333333334, 7.317592592592592, 7.322291666666667, 7.3412037037037035, 7.505092592592592, 7.705092592592592, 7.726388888888889, 7.797638888888889, 8.174537037037037, 9.041805555555555, 9.249074074074073, 9.468981481481482, 9.644675925925926, 9.691203703703703, 9.832175925925926, 9.832407407407407, 9.83287037037037, 10.107893518518518, 11.435995370370371, 13.162731481481481, 13.303472222222222, 13.328703703703704, 13.39398148148148, 13.526550925925926, 13.577615740740741, 14.440717592592593, 14.783564814814815, 15.868194444444445, 16.288564814814816, 16.502314814814813, 16.516203703703702, 16.84034722222222, 16.983796296296298, 17.51064814814815, 17.87175925925926, 18.440231481481483, 18.82324074074074, 19.43287037037037, 19.502314814814813, 19.57800925925926, 20.874074074074073, 21.030787037037037, 21.208333333333332, 21.740347222222223, 22.255092592592593, 22.256481481481483, 22.67800925925926, 22.710416666666667, 22.988425925925927 ], "time_since_last_event": [ 0.0, 0.47314814814814815, 0.09891203703703703, 2.1241435185185185, 0.06782407407407408, 0.03400462962962963, 0.11321759259259259, 0.5271759259259259, 0.5340277777777778, 0.01423611111111111, 0.007291666666666667, 0.6069444444444444, 0.00011574074074074075, 0.6548842592592593, 0.9984722222222222, 0.33125, 0.0008101851851851852, 0.7311342592592592, 0.004699074074074074, 0.018912037037037036, 0.1638888888888889, 0.2, 0.021296296296296296, 0.07125, 0.37689814814814815, 0.8672685185185185, 0.20726851851851852, 0.2199074074074074, 0.17569444444444443, 0.04652777777777778, 0.14097222222222222, 0.0002314814814814815, 0.000462962962962963, 0.27502314814814816, 1.328101851851852, 1.726736111111111, 0.14074074074074075, 0.025231481481481483, 0.06527777777777778, 0.13256944444444443, 0.05106481481481481, 0.8631018518518518, 0.34284722222222225, 1.0846296296296296, 0.4203703703703704, 0.21375, 0.013888888888888888, 0.3241435185185185, 0.14344907407407406, 0.5268518518518519, 0.3611111111111111, 0.5684722222222223, 0.38300925925925927, 0.6096296296296296, 0.06944444444444445, 0.07569444444444444, 1.2960648148148148, 0.15671296296296297, 0.17754629629629629, 0.5320138888888889, 0.5147453703703704, 0.001388888888888889, 0.4215277777777778, 0.032407407407407406, 0.27800925925925923 ], "type_event": [ 3, 6, 16, 7, 9, 1, 7, 6, 7, 7, 7, 6, 7, 16, 7, 17, 8, 6, 6, 6, 0, 4, 7, 7, 1, 7, 7, 4, 4, 7, 4, 11, 4, 13, 7, 7, 9, 6, 7, 6, 6, 7, 6, 9, 3, 4, 8, 7, 11, 6, 10, 8, 3, 4, 9, 11, 4, 10, 4, 7, 11, 11, 0, 7, 5 ], "type_text": [ "Deceptive Practice", "Criminal Damage", "Narcotics", "Battery", "Assault", "Weapons Violation", "Battery", "Criminal Damage", "Battery", "Battery", "Battery", "Criminal Damage", "Battery", "Narcotics", "Battery", "Stalking", "Other Offense", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Theft", "Motor Vehicle Theft", "Battery", "Battery", "Weapons Violation", "Battery", "Battery", "Motor Vehicle Theft", "Motor Vehicle Theft", "Battery", "Motor Vehicle Theft", "Robbery", "Motor Vehicle Theft", "Offense Involving Children", "Battery", "Battery", "Assault", "Criminal Damage", "Battery", "Criminal Damage", "Criminal Damage", "Battery", "Criminal Damage", "Assault", "Deceptive Practice", "Motor Vehicle Theft", "Other Offense", "Battery", "Robbery", "Criminal Damage", "Burglary", "Other Offense", "Deceptive Practice", "Motor Vehicle Theft", "Assault", "Robbery", "Motor Vehicle Theft", "Burglary", "Motor Vehicle Theft", "Battery", "Robbery", "Robbery", "Theft", "Battery", "Criminal Trespass" ], "description": "The sequence of crime incidents shows a progression over time, with various types of crimes occurring at different intervals. Initially, incidents such as Deceptive Practices and Criminal Damage appear early in the timeline, followed by a noticeable increase in Battery incidents around the two to three-month mark. As time progresses, there is a clustering of Criminal Damage and Battery events, particularly between the six and ten-month periods, alongside a rise in Motor Vehicle Theft and Robbery incidents towards the later months. The sequence concludes with a mix of Battery, Robbery, and Criminal Trespass incidents, indicating a diverse range of crime types occurring as time advances." }, { "dim_process": 20, "seq_idx": 232, "seq_len": 32, "time_since_start": [ 0.0, 2.8003935185185185, 5.354560185185186, 5.498217592592592, 6.898310185185185, 7.584421296296297, 7.695648148148148, 8.519837962962963, 8.657337962962963, 9.155949074074075, 9.497615740740741, 9.646921296296297, 9.793449074074074, 10.097962962962963, 11.33650462962963, 11.751782407407408, 13.449004629629629, 13.622847222222223, 13.885462962962963, 14.156967592592592, 14.157337962962963, 14.629560185185186, 16.46011574074074, 17.196921296296296, 17.88349537037037, 19.76011574074074, 19.93511574074074, 20.125625, 22.462777777777777, 22.482337962962962, 22.49622685185185, 22.80178240740741 ], "time_since_last_event": [ 0.0, 2.8003935185185185, 2.5541666666666667, 0.1436574074074074, 1.4000925925925927, 0.6861111111111111, 0.11122685185185185, 0.8241898148148148, 0.1375, 0.4986111111111111, 0.3416666666666667, 0.14930555555555555, 0.14652777777777778, 0.30451388888888886, 1.2385416666666667, 0.4152777777777778, 1.6972222222222222, 0.1738425925925926, 0.26261574074074073, 0.2715046296296296, 0.00037037037037037035, 0.4722222222222222, 1.8305555555555555, 0.7368055555555556, 0.6865740740740741, 1.8766203703703703, 0.175, 0.19050925925925927, 2.337152777777778, 0.019560185185185184, 0.013888888888888888, 0.3055555555555556 ], "type_event": [ 1, 7, 0, 7, 0, 7, 7, 14, 0, 6, 0, 0, 9, 9, 0, 0, 7, 9, 7, 0, 6, 0, 9, 7, 3, 0, 7, 9, 4, 7, 6, 0 ], "type_text": [ "Weapons Violation", "Battery", "Theft", "Battery", "Theft", "Battery", "Battery", "Criminal Sexual Assault", "Theft", "Criminal Damage", "Theft", "Theft", "Assault", "Assault", "Theft", "Theft", "Battery", "Assault", "Battery", "Theft", "Criminal Damage", "Theft", "Assault", "Battery", "Deceptive Practice", "Theft", "Battery", "Assault", "Motor Vehicle Theft", "Battery", "Criminal Damage", "Theft" ], "description": "The sequence of crime incidents shows a gradual increase in reported events over time, with a noticeable clustering of specific crime types. Weapons violations occur early in the timeline, followed by a series of battery incidents that appear intermittently throughout the sequence. Theft incidents are particularly prevalent, peaking in frequency during the middle to later months, while assaults and criminal damage incidents also appear in clusters. Overall, the data indicates a trend of increasing criminal activity, with certain types of crimes, like theft and battery, recurring more frequently as time progresses." }, { "dim_process": 20, "seq_idx": 233, "seq_len": 38, "time_since_start": [ 0.0, 0.19282407407407406, 0.33145833333333335, 0.6030555555555556, 2.533472222222222, 2.6010416666666667, 4.884814814814815, 6.32962962962963, 6.9, 7.491319444444445, 8.535300925925926, 10.134027777777778, 13.43462962962963, 13.868055555555555, 14.204398148148147, 15.628935185185185, 15.824305555555556, 16.0375, 16.325, 17.931944444444444, 18.53472222222222, 18.94638888888889, 19.02638888888889, 19.264074074074074, 19.676388888888887, 19.85648148148148, 20.10914351851852, 21.35884259259259, 21.40648148148148, 21.479004629629628, 21.514930555555555, 21.589837962962964, 21.64236111111111, 22.45983796296296, 22.50662037037037, 22.668055555555554, 22.704814814814814, 22.919398148148147 ], "time_since_last_event": [ 0.0, 0.19282407407407406, 0.13863425925925926, 0.2715972222222222, 1.9304166666666667, 0.06756944444444445, 2.283773148148148, 1.4448148148148148, 0.5703703703703704, 0.5913194444444444, 1.0439814814814814, 1.5987268518518518, 3.300601851851852, 0.43342592592592594, 0.3363425925925926, 1.424537037037037, 0.19537037037037036, 0.21319444444444444, 0.2875, 1.6069444444444445, 0.6027777777777777, 0.4116666666666667, 0.08, 0.2376851851851852, 0.4123148148148148, 0.18009259259259258, 0.25266203703703705, 1.249699074074074, 0.04763888888888889, 0.07252314814814814, 0.035925925925925924, 0.07490740740740741, 0.052523148148148145, 0.8174768518518518, 0.046782407407407404, 0.16143518518518518, 0.03675925925925926, 0.21458333333333332 ], "type_event": [ 8, 0, 0, 11, 17, 9, 0, 18, 0, 5, 7, 4, 11, 7, 6, 9, 6, 0, 8, 9, 0, 7, 9, 8, 6, 4, 7, 6, 9, 9, 8, 8, 4, 7, 8, 3, 7, 8 ], "type_text": [ "Other Offense", "Theft", "Theft", "Robbery", "Stalking", "Assault", "Theft", "Public Peace Violation", "Theft", "Criminal Trespass", "Battery", "Motor Vehicle Theft", "Robbery", "Battery", "Criminal Damage", "Assault", "Criminal Damage", "Theft", "Other Offense", "Assault", "Theft", "Battery", "Assault", "Other Offense", "Criminal Damage", "Motor Vehicle Theft", "Battery", "Criminal Damage", "Assault", "Assault", "Other Offense", "Other Offense", "Motor Vehicle Theft", "Battery", "Other Offense", "Deceptive Practice", "Battery", "Other Offense" ], "description": "The sequence of crime incidents begins with various offenses clustered in the initial months, particularly thefts and other offenses. As time progresses, there is a noticeable increase in violent crimes, such as assaults and batteries, occurring more frequently in the later months. The data shows a trend of thefts occurring earlier in the timeline, while incidents like motor vehicle theft and criminal damage appear more prominently in the latter part of the sequence. Overall, the events exhibit a pattern where certain crime types, particularly theft and violent offenses, are concentrated in specific periods, with a gradual escalation in the variety of offenses over time." }, { "dim_process": 20, "seq_idx": 234, "seq_len": 32, "time_since_start": [ 0.0, 0.7486111111111111, 1.1222222222222222, 2.1333333333333333, 3.9972222222222222, 4.996851851851852, 5.780555555555556, 5.931597222222222, 6.716666666666667, 7.088888888888889, 7.169444444444444, 8.346527777777778, 10.116666666666667, 11.21087962962963, 11.410300925925926, 13.810972222222222, 14.355324074074074, 15.38613425925926, 15.41388888888889, 16.97013888888889, 16.975, 17.62013888888889, 17.869675925925925, 18.215972222222224, 18.306944444444444, 18.579166666666666, 18.961111111111112, 19.3125, 20.30650462962963, 20.551388888888887, 20.574768518518518, 21.67361111111111 ], "time_since_last_event": [ 0.0, 0.7486111111111111, 0.3736111111111111, 1.011111111111111, 1.863888888888889, 0.9996296296296296, 0.7837037037037037, 0.15104166666666666, 0.7850694444444445, 0.37222222222222223, 0.08055555555555556, 1.1770833333333333, 1.770138888888889, 1.0942129629629629, 0.1994212962962963, 2.4006712962962964, 0.5443518518518519, 1.0308101851851852, 0.02775462962962963, 1.55625, 0.004861111111111111, 0.6451388888888889, 0.24953703703703703, 0.34629629629629627, 0.09097222222222222, 0.2722222222222222, 0.3819444444444444, 0.35138888888888886, 0.9940046296296297, 0.24488425925925925, 0.02337962962962963, 1.0988425925925926 ], "type_event": [ 9, 0, 5, 4, 8, 10, 4, 0, 6, 4, 4, 6, 4, 11, 4, 16, 9, 4, 4, 0, 0, 6, 16, 7, 0, 4, 9, 0, 8, 0, 6, 0 ], "type_text": [ "Assault", "Theft", "Criminal Trespass", "Motor Vehicle Theft", "Other Offense", "Burglary", "Motor Vehicle Theft", "Theft", "Criminal Damage", "Motor Vehicle Theft", "Motor Vehicle Theft", "Criminal Damage", "Motor Vehicle Theft", "Robbery", "Motor Vehicle Theft", "Narcotics", "Assault", "Motor Vehicle Theft", "Motor Vehicle Theft", "Theft", "Theft", "Criminal Damage", "Narcotics", "Battery", "Theft", "Motor Vehicle Theft", "Assault", "Theft", "Other Offense", "Theft", "Criminal Damage", "Theft" ], "description": "The sequence of crime incidents shows a varied pattern over time, with multiple types of offenses occurring at different intervals. Initial incidents include assaults and thefts, followed by a notable increase in motor vehicle thefts clustered around the mid-point of the timeline. Criminal damage and narcotics offenses appear later in the sequence, while thefts are consistently reported throughout, particularly in the latter months. The timeline indicates a trend of increasing complexity in the types of crimes reported as time progresses." }, { "dim_process": 20, "seq_idx": 235, "seq_len": 50, "time_since_start": [ 0.0, 0.27099537037037036, 1.4110648148148148, 1.6577777777777778, 1.6806712962962962, 2.010763888888889, 2.8114814814814815, 3.491435185185185, 3.656851851851852, 3.817083333333333, 5.67337962962963, 6.156018518518518, 6.223333333333334, 6.369907407407408, 7.321412037037037, 9.372685185185185, 9.505324074074075, 9.96087962962963, 9.992476851851851, 10.247337962962963, 10.288657407407408, 10.321296296296296, 13.525462962962964, 13.859375, 13.948611111111111, 14.20949074074074, 14.84386574074074, 14.96701388888889, 16.03587962962963, 17.825069444444445, 17.825578703703705, 17.838078703703705, 18.449074074074073, 19.67648148148148, 19.70775462962963, 19.71909722222222, 19.72199074074074, 20.193101851851853, 20.61365740740741, 20.836458333333333, 21.271296296296295, 21.424699074074073, 22.00050925925926, 22.117824074074075, 22.290393518518517, 22.510532407407407, 22.807060185185186, 22.866666666666667, 22.866782407407406, 23.03636574074074 ], "time_since_last_event": [ 0.0, 0.27099537037037036, 1.1400694444444444, 0.24671296296296297, 0.022893518518518518, 0.3300925925925926, 0.8007175925925926, 0.6799537037037037, 0.16541666666666666, 0.16023148148148147, 1.8562962962962963, 0.4826388888888889, 0.06731481481481481, 0.14657407407407408, 0.9515046296296297, 2.051273148148148, 0.1326388888888889, 0.45555555555555555, 0.03159722222222222, 0.2548611111111111, 0.04131944444444444, 0.03263888888888889, 3.2041666666666666, 0.33391203703703703, 0.08923611111111111, 0.26087962962962963, 0.634375, 0.12314814814814815, 1.0688657407407407, 1.7891898148148149, 0.0005092592592592592, 0.0125, 0.6109953703703703, 1.2274074074074075, 0.03127314814814815, 0.011342592592592593, 0.0028935185185185184, 0.4711111111111111, 0.42055555555555557, 0.22280092592592593, 0.43483796296296295, 0.15340277777777778, 0.5758101851851852, 0.11731481481481482, 0.17256944444444444, 0.22013888888888888, 0.2965277777777778, 0.05960648148148148, 0.00011574074074074075, 0.16958333333333334 ], "type_event": [ 0, 0, 1, 8, 9, 4, 3, 9, 11, 11, 0, 2, 9, 4, 8, 0, 6, 6, 10, 11, 0, 4, 11, 15, 0, 3, 7, 11, 11, 11, 1, 6, 9, 8, 7, 9, 4, 19, 7, 11, 6, 11, 11, 3, 11, 7, 0, 11, 11, 7 ], "type_text": [ "Theft", "Theft", "Weapons Violation", "Other Offense", "Assault", "Motor Vehicle Theft", "Deceptive Practice", "Assault", "Robbery", "Robbery", "Theft", "Sex Offense", "Assault", "Motor Vehicle Theft", "Other Offense", "Theft", "Criminal Damage", "Criminal Damage", "Burglary", "Robbery", "Theft", "Motor Vehicle Theft", "Robbery", "Interference With Public Officer", "Theft", "Deceptive Practice", "Battery", "Robbery", "Robbery", "Robbery", "Weapons Violation", "Criminal Damage", "Assault", "Other Offense", "Battery", "Assault", "Motor Vehicle Theft", "Homicide", "Battery", "Robbery", "Criminal Damage", "Robbery", "Robbery", "Deceptive Practice", "Robbery", "Battery", "Theft", "Robbery", "Robbery", "Battery" ], "description": "The sequence of crime incidents in the block shows a pattern where theft-related offenses occur frequently in the early months, followed by a rise in violent crimes such as assault and robbery as time progresses. Weapons violations and other offenses appear within the first few months, while motor vehicle thefts and deceptive practices are also noted in the early to mid-stages. A notable increase in robbery incidents occurs around the middle to later months, with several clusters of robbery offenses observed. Towards the end of the sequence, there is a mix of battery and homicide incidents, indicating a shift towards more violent crime types." }, { "dim_process": 20, "seq_idx": 236, "seq_len": 66, "time_since_start": [ 0.0, 0.002662037037037037, 0.24814814814814815, 0.7395833333333334, 0.8474537037037037, 1.029837962962963, 1.6047916666666666, 1.829398148148148, 1.9158333333333333, 1.9780092592592593, 2.4457175925925925, 2.6549768518518517, 2.6793981481481484, 2.6812037037037038, 3.1413194444444446, 3.303472222222222, 4.700231481481482, 4.96412037037037, 5.051620370370371, 5.1369444444444445, 6.117592592592593, 6.315509259259259, 6.698842592592593, 7.080787037037037, 7.089814814814815, 7.114120370370371, 7.468287037037037, 7.557175925925926, 8.32800925925926, 8.55162037037037, 8.713032407407407, 8.874537037037037, 9.079699074074075, 9.099768518518518, 9.126967592592592, 9.272291666666666, 9.272453703703704, 9.418333333333333, 9.618194444444445, 11.114814814814816, 11.306527777777777, 11.502523148148148, 12.044675925925926, 12.404537037037038, 12.59537037037037, 12.845833333333333, 12.982129629629629, 13.47800925925926, 13.63287037037037, 13.728935185185184, 13.840810185185186, 14.676273148148148, 15.733564814814814, 15.941828703703704, 16.22037037037037, 16.274907407407408, 16.50162037037037, 16.565509259259258, 17.27574074074074, 17.674074074074074, 17.800763888888888, 18.74189814814815, 19.33539351851852, 21.41148148148148, 21.608333333333334, 22.180671296296296 ], "time_since_last_event": [ 0.0, 0.002662037037037037, 0.2454861111111111, 0.4914351851851852, 0.10787037037037037, 0.18238425925925925, 0.5749537037037037, 0.2246064814814815, 0.08643518518518518, 0.062175925925925926, 0.46770833333333334, 0.20925925925925926, 0.024421296296296295, 0.0018055555555555555, 0.46011574074074074, 0.16215277777777778, 1.3967592592592593, 0.2638888888888889, 0.0875, 0.08532407407407408, 0.9806481481481482, 0.19791666666666666, 0.38333333333333336, 0.3819444444444444, 0.009027777777777777, 0.024305555555555556, 0.3541666666666667, 0.08888888888888889, 0.7708333333333334, 0.22361111111111112, 0.16141203703703705, 0.16150462962962964, 0.20516203703703703, 0.020069444444444445, 0.027199074074074073, 0.14532407407407408, 0.00016203703703703703, 0.14587962962962964, 0.1998611111111111, 1.4966203703703704, 0.19171296296296297, 0.19599537037037038, 0.5421527777777778, 0.35986111111111113, 0.19083333333333333, 0.25046296296296294, 0.1362962962962963, 0.4958796296296296, 0.15486111111111112, 0.09606481481481481, 0.111875, 0.835462962962963, 1.0572916666666667, 0.2082638888888889, 0.2785416666666667, 0.05453703703703704, 0.22671296296296295, 0.06388888888888888, 0.7102314814814815, 0.3983333333333333, 0.1266898148148148, 0.9411342592592593, 0.5934953703703704, 2.076087962962963, 0.19685185185185186, 0.5723379629629629 ], "type_event": [ 9, 11, 7, 4, 6, 7, 7, 4, 16, 4, 6, 7, 6, 6, 7, 7, 6, 3, 8, 1, 6, 11, 9, 6, 5, 0, 3, 6, 9, 7, 12, 7, 5, 6, 7, 7, 0, 7, 9, 4, 0, 8, 7, 7, 11, 11, 6, 6, 6, 4, 9, 9, 7, 8, 0, 7, 0, 0, 6, 9, 9, 8, 11, 7, 7, 6 ], "type_text": [ "Assault", "Robbery", "Battery", "Motor Vehicle Theft", "Criminal Damage", "Battery", "Battery", "Motor Vehicle Theft", "Narcotics", "Motor Vehicle Theft", "Criminal Damage", "Battery", "Criminal Damage", "Criminal Damage", "Battery", "Battery", "Criminal Damage", "Deceptive Practice", "Other Offense", "Weapons Violation", "Criminal Damage", "Robbery", "Assault", "Criminal Damage", "Criminal Trespass", "Theft", "Deceptive Practice", "Criminal Damage", "Assault", "Battery", "Arson", "Battery", "Criminal Trespass", "Criminal Damage", "Battery", "Battery", "Theft", "Battery", "Assault", "Motor Vehicle Theft", "Theft", "Other Offense", "Battery", "Battery", "Robbery", "Robbery", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Motor Vehicle Theft", "Assault", "Assault", "Battery", "Other Offense", "Theft", "Battery", "Theft", "Theft", "Criminal Damage", "Assault", "Assault", "Other Offense", "Robbery", "Battery", "Battery", "Criminal Damage" ], "description": "The sequence of crime incidents shows a diverse range of offenses occurring over time, with notable clustering of specific types. Initially, assaults and robberies are reported early in the timeline, followed by a mix of batteries and motor vehicle thefts. Criminal damage incidents appear frequently, particularly in the middle of the sequence, while other offenses and thefts become more prominent later on. The data indicates that certain crime types, such as battery and criminal damage, recur multiple times throughout the timeline, suggesting a pattern of repeated offenses. Overall, the sequence reflects a gradual increase in the variety of crime types as time progresses, with some events clustered closely together." }, { "dim_process": 20, "seq_idx": 237, "seq_len": 43, "time_since_start": [ 0.0, 0.9916666666666667, 1.1990277777777778, 1.3534722222222222, 1.4333333333333333, 2.3097222222222222, 2.522222222222222, 3.205347222222222, 3.6262037037037036, 3.7347916666666667, 3.7683333333333335, 3.821759259259259, 4.395138888888889, 4.514027777777778, 4.530555555555556, 4.536111111111111, 4.569050925925926, 5.634722222222222, 6.252083333333333, 6.572222222222222, 7.637152777777778, 8.178935185185185, 10.463541666666666, 12.990023148148149, 13.328703703703704, 13.577638888888888, 14.266666666666667, 15.034837962962962, 16.142453703703705, 16.335439814814816, 17.17513888888889, 17.706944444444446, 17.70715277777778, 17.868055555555557, 18.05648148148148, 19.05902777777778, 20.14289351851852, 20.752777777777776, 20.99861111111111, 21.473055555555554, 22.72511574074074, 22.87349537037037, 23.02777777777778 ], "time_since_last_event": [ 0.0, 0.9916666666666667, 0.2073611111111111, 0.15444444444444444, 0.0798611111111111, 0.8763888888888889, 0.2125, 0.683125, 0.42085648148148147, 0.10858796296296297, 0.033541666666666664, 0.053425925925925925, 0.5733796296296296, 0.11888888888888889, 0.016527777777777777, 0.005555555555555556, 0.03293981481481482, 1.0656712962962962, 0.6173611111111111, 0.32013888888888886, 1.0649305555555555, 0.5417824074074075, 2.2846064814814815, 2.5264814814814813, 0.33868055555555554, 0.24893518518518518, 0.6890277777777778, 0.7681712962962963, 1.1076157407407408, 0.1929861111111111, 0.8396990740740741, 0.5318055555555555, 0.00020833333333333335, 0.16090277777777778, 0.1884259259259259, 1.0025462962962963, 1.0838657407407408, 0.6098842592592593, 0.24583333333333332, 0.47444444444444445, 1.2520601851851851, 0.14837962962962964, 0.1542824074074074 ], "type_event": [ 0, 7, 0, 0, 6, 4, 0, 16, 7, 16, 1, 1, 3, 6, 6, 6, 1, 6, 0, 1, 1, 1, 11, 1, 9, 9, 8, 1, 7, 7, 7, 1, 1, 4, 1, 6, 7, 8, 4, 8, 9, 7, 8 ], "type_text": [ "Theft", "Battery", "Theft", "Theft", "Criminal Damage", "Motor Vehicle Theft", "Theft", "Narcotics", "Battery", "Narcotics", "Weapons Violation", "Weapons Violation", "Deceptive Practice", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Weapons Violation", "Criminal Damage", "Theft", "Weapons Violation", "Weapons Violation", "Weapons Violation", "Robbery", "Weapons Violation", "Assault", "Assault", "Other Offense", "Weapons Violation", "Battery", "Battery", "Battery", "Weapons Violation", "Weapons Violation", "Motor Vehicle Theft", "Weapons Violation", "Criminal Damage", "Battery", "Other Offense", "Motor Vehicle Theft", "Other Offense", "Assault", "Battery", "Other Offense" ], "description": "The sequence of crime incidents shows an initial prevalence of theft-related offenses in the early months, followed by a notable increase in battery incidents and weapons violations as time progresses. Criminal damage incidents cluster around the 4 to 6-month mark, while narcotics offenses appear in the early to mid-range of the timeline. As the sequence continues, there is a rise in assaults and other offenses, with weapons violations becoming increasingly frequent towards the latter part of the timeline. Motor vehicle thefts occur sporadically, with a slight increase in the later months. Overall, the data indicates a shift from theft to more violent and weapon-related crimes over time." }, { "dim_process": 20, "seq_idx": 238, "seq_len": 72, "time_since_start": [ 0.0, 0.08608796296296296, 1.1759259259259258, 2.627986111111111, 3.0746527777777777, 3.1467592592592593, 3.3245601851851854, 3.5253472222222224, 3.5711805555555554, 3.7024305555555554, 4.271875, 4.345138888888889, 4.449050925925926, 4.65275462962963, 4.909027777777778, 5.452083333333333, 5.5623148148148145, 5.818402777777778, 6.307291666666667, 6.765324074074074, 7.161689814814815, 7.6038194444444445, 8.083564814814816, 8.417013888888889, 8.52787037037037, 8.701041666666667, 9.698611111111111, 10.74664351851852, 10.75798611111111, 11.061736111111111, 11.209375, 11.299652777777778, 11.300069444444444, 11.544791666666667, 12.02275462962963, 12.535532407407407, 12.569050925925925, 12.696782407407408, 13.229513888888889, 13.325578703703703, 13.723217592592592, 14.397893518518519, 14.402430555555556, 14.49826388888889, 14.584652777777778, 14.72349537037037, 14.730555555555556, 14.791319444444444, 15.106597222222222, 15.15925925925926, 15.160069444444444, 15.220254629629629, 15.392708333333333, 16.266412037037036, 16.328125, 16.575925925925926, 16.816712962962963, 17.148032407407406, 17.148356481481482, 18.373032407407408, 18.64377314814815, 18.991550925925925, 19.29400462962963, 19.490625, 19.563541666666666, 19.791828703703704, 20.190092592592592, 20.43923611111111, 21.26909722222222, 22.15659722222222, 22.827430555555555, 22.86087962962963 ], "time_since_last_event": [ 0.0, 0.08608796296296296, 1.0898379629629629, 1.452060185185185, 0.44666666666666666, 0.07210648148148148, 0.17780092592592592, 0.20078703703703704, 0.04583333333333333, 0.13125, 0.5694444444444444, 0.07326388888888889, 0.10391203703703704, 0.2037037037037037, 0.25627314814814817, 0.5430555555555555, 0.11023148148148149, 0.256087962962963, 0.4888888888888889, 0.4580324074074074, 0.39636574074074077, 0.44212962962962965, 0.47974537037037035, 0.3334490740740741, 0.11085648148148149, 0.1731712962962963, 0.9975694444444444, 1.0480324074074074, 0.011342592592592593, 0.30375, 0.14763888888888888, 0.09027777777777778, 0.0004166666666666667, 0.24472222222222223, 0.477962962962963, 0.5127777777777778, 0.03351851851851852, 0.12773148148148147, 0.5327314814814815, 0.09606481481481481, 0.3976388888888889, 0.674675925925926, 0.004537037037037037, 0.09583333333333334, 0.08638888888888889, 0.1388425925925926, 0.007060185185185185, 0.06076388888888889, 0.31527777777777777, 0.052662037037037035, 0.0008101851851851852, 0.06018518518518518, 0.1724537037037037, 0.8737037037037036, 0.06171296296296296, 0.24780092592592592, 0.24078703703703705, 0.33131944444444444, 0.00032407407407407406, 1.224675925925926, 0.2707407407407407, 0.3477777777777778, 0.3024537037037037, 0.19662037037037036, 0.07291666666666667, 0.22828703703703704, 0.39826388888888886, 0.24914351851851851, 0.8298611111111112, 0.8875, 0.6708333333333333, 0.033449074074074076 ], "type_event": [ 7, 8, 7, 1, 9, 7, 16, 1, 7, 4, 4, 9, 11, 1, 9, 0, 6, 7, 7, 7, 19, 7, 7, 9, 6, 9, 9, 6, 0, 0, 4, 0, 16, 7, 1, 7, 7, 16, 6, 9, 7, 6, 0, 7, 9, 9, 8, 7, 4, 4, 9, 8, 6, 9, 4, 6, 7, 7, 15, 9, 10, 7, 7, 8, 9, 1, 8, 7, 4, 2, 9, 6 ], "type_text": [ "Battery", "Other Offense", "Battery", "Weapons Violation", "Assault", "Battery", "Narcotics", "Weapons Violation", "Battery", "Motor Vehicle Theft", "Motor Vehicle Theft", "Assault", "Robbery", "Weapons Violation", "Assault", "Theft", "Criminal Damage", "Battery", "Battery", "Battery", "Homicide", "Battery", "Battery", "Assault", "Criminal Damage", "Assault", "Assault", "Criminal Damage", "Theft", "Theft", "Motor Vehicle Theft", "Theft", "Narcotics", "Battery", "Weapons Violation", "Battery", "Battery", "Narcotics", "Criminal Damage", "Assault", "Battery", "Criminal Damage", "Theft", "Battery", "Assault", "Assault", "Other Offense", "Battery", "Motor Vehicle Theft", "Motor Vehicle Theft", "Assault", "Other Offense", "Criminal Damage", "Assault", "Motor Vehicle Theft", "Criminal Damage", "Battery", "Battery", "Interference With Public Officer", "Assault", "Burglary", "Battery", "Battery", "Other Offense", "Assault", "Weapons Violation", "Other Offense", "Battery", "Motor Vehicle Theft", "Sex Offense", "Assault", "Criminal Damage" ], "description": "The sequence of crime incidents shows a variety of offenses occurring over time, with notable clustering of certain types. Battery incidents are prevalent, appearing frequently throughout the timeline, particularly in the earlier months and continuing into later months. Assaults also occur in clusters, especially around the mid to later months. Motor vehicle thefts are concentrated in the latter part of the timeline, while weapons violations and criminal damage show intermittent occurrences. Other offenses and narcotics-related incidents appear sporadically throughout the sequence, indicating a diverse range of criminal activities over the observed period." }, { "dim_process": 20, "seq_idx": 239, "seq_len": 41, "time_since_start": [ 0.0, 0.9880787037037037, 0.9885648148148148, 1.223912037037037, 1.3187037037037037, 1.7988194444444445, 1.8603472222222222, 2.093634259259259, 2.4234953703703703, 2.9252314814814815, 3.0827546296296298, 3.5552546296296295, 4.125439814814815, 4.407638888888889, 4.866550925925926, 5.360300925925926, 5.437407407407408, 5.9445601851851855, 6.377662037037037, 6.858217592592593, 8.058680555555556, 8.415162037037037, 8.57476851851852, 8.595810185185185, 8.789467592592592, 8.958564814814816, 9.324189814814815, 11.78888888888889, 12.490393518518518, 12.490856481481481, 13.055694444444445, 14.355092592592593, 14.804351851851852, 15.881828703703704, 16.205092592592592, 16.68321759259259, 19.337847222222223, 19.71863425925926, 20.19039351851852, 22.438240740740742, 22.714814814814815 ], "time_since_last_event": [ 0.0, 0.9880787037037037, 0.0004861111111111111, 0.23534722222222224, 0.09479166666666666, 0.48011574074074076, 0.06152777777777778, 0.23328703703703704, 0.3298611111111111, 0.5017361111111112, 0.15752314814814813, 0.4725, 0.5701851851851852, 0.2821990740740741, 0.45891203703703703, 0.49375, 0.07710648148148148, 0.5071527777777778, 0.43310185185185185, 0.48055555555555557, 1.200462962962963, 0.35648148148148145, 0.1596064814814815, 0.021041666666666667, 0.19365740740740742, 0.16909722222222223, 0.365625, 2.464699074074074, 0.7015046296296297, 0.000462962962962963, 0.564837962962963, 1.2993981481481482, 0.44925925925925925, 1.0774768518518518, 0.3232638888888889, 0.478125, 2.6546296296296297, 0.38078703703703703, 0.47175925925925927, 2.247847222222222, 0.2765740740740741 ], "type_event": [ 1, 6, 7, 9, 2, 6, 6, 7, 8, 7, 9, 9, 9, 7, 6, 7, 7, 7, 4, 9, 7, 7, 7, 7, 7, 7, 4, 0, 7, 7, 9, 4, 14, 0, 7, 3, 9, 13, 9, 6, 9 ], "type_text": [ "Weapons Violation", "Criminal Damage", "Battery", "Assault", "Sex Offense", "Criminal Damage", "Criminal Damage", "Battery", "Other Offense", "Battery", "Assault", "Assault", "Assault", "Battery", "Criminal Damage", "Battery", "Battery", "Battery", "Motor Vehicle Theft", "Assault", "Battery", "Battery", "Battery", "Battery", "Battery", "Battery", "Motor Vehicle Theft", "Theft", "Battery", "Battery", "Assault", "Motor Vehicle Theft", "Criminal Sexual Assault", "Theft", "Battery", "Deceptive Practice", "Assault", "Offense Involving Children", "Assault", "Criminal Damage", "Assault" ], "description": "The sequence of crime incidents begins with a weapons violation and quickly transitions into various types of offenses, including criminal damage and battery, within the first few months. Assaults appear consistently throughout the timeline, with a notable increase in frequency around the 3 to 5-month mark. Battery incidents cluster heavily between the 5 and 9-month periods, while motor vehicle thefts are reported at intervals around the 6 and 14-month marks. The sequence concludes with a mix of assaults and criminal damage occurring towards the end of the timeline, indicating a sustained presence of violent offenses over time." }, { "dim_process": 20, "seq_idx": 240, "seq_len": 40, "time_since_start": [ 0.0, 0.13597222222222222, 0.5116666666666667, 1.166875, 1.465787037037037, 2.6686111111111113, 2.774236111111111, 5.174861111111111, 6.031805555555556, 6.256805555555555, 6.3845833333333335, 6.880416666666667, 6.909490740740741, 7.610972222222222, 8.519305555555556, 9.380416666666667, 9.408888888888889, 9.415138888888889, 10.002638888888889, 12.602638888888889, 13.205416666666666, 13.84013888888889, 13.982662037037038, 14.192523148148148, 14.820694444444445, 15.88412037037037, 16.928912037037037, 17.491180555555555, 18.138055555555557, 18.341967592592592, 18.34349537037037, 19.485972222222223, 21.577175925925925, 22.77125, 22.90835648148148, 23.22252314814815, 23.588055555555556, 23.680995370370372, 24.17185185185185, 24.306805555555556 ], "time_since_last_event": [ 0.0, 0.13597222222222222, 0.37569444444444444, 0.6552083333333333, 0.29891203703703706, 1.202824074074074, 0.105625, 2.400625, 0.8569444444444444, 0.225, 0.12777777777777777, 0.49583333333333335, 0.029074074074074075, 0.7014814814814815, 0.9083333333333333, 0.8611111111111112, 0.02847222222222222, 0.00625, 0.5875, 2.6, 0.6027777777777777, 0.6347222222222222, 0.14252314814814815, 0.2098611111111111, 0.6281712962962963, 1.063425925925926, 1.0447916666666666, 0.5622685185185186, 0.646875, 0.20391203703703703, 0.0015277777777777779, 1.1424768518518518, 2.091203703703704, 1.194074074074074, 0.13710648148148147, 0.31416666666666665, 0.3655324074074074, 0.09293981481481481, 0.4908564814814815, 0.13495370370370371 ], "type_event": [ 6, 7, 0, 0, 6, 7, 0, 0, 3, 0, 7, 0, 7, 0, 9, 7, 0, 0, 8, 3, 3, 0, 7, 7, 11, 9, 7, 6, 9, 7, 7, 0, 7, 7, 6, 2, 14, 7, 7, 7 ], "type_text": [ "Criminal Damage", "Battery", "Theft", "Theft", "Criminal Damage", "Battery", "Theft", "Theft", "Deceptive Practice", "Theft", "Battery", "Theft", "Battery", "Theft", "Assault", "Battery", "Theft", "Theft", "Other Offense", "Deceptive Practice", "Deceptive Practice", "Theft", "Battery", "Battery", "Robbery", "Assault", "Battery", "Criminal Damage", "Assault", "Battery", "Battery", "Theft", "Battery", "Battery", "Criminal Damage", "Sex Offense", "Criminal Sexual Assault", "Battery", "Battery", "Battery" ], "description": "The sequence of crime incidents shows a pattern where Theft appears frequently in the early months, particularly clustering around the first year. Battery incidents also occur consistently throughout the timeline, with notable clusters in the latter half of the sequence. Criminal Damage appears intermittently, while Deceptive Practices and Assaults are noted at various points, with a slight increase in frequency as the timeline progresses. The sequence concludes with a series of Battery incidents, indicating a potential rise in this type of offense towards the end." }, { "dim_process": 20, "seq_idx": 241, "seq_len": 38, "time_since_start": [ 0.0, 1.5793055555555555, 1.692199074074074, 2.5279398148148147, 2.854560185185185, 3.5813888888888887, 4.246226851851852, 4.777199074074074, 6.187175925925926, 6.655717592592593, 7.4119675925925925, 7.846921296296296, 8.469143518518518, 8.570763888888889, 8.807106481481481, 10.364421296296296, 10.402939814814815, 10.541828703703704, 11.02099537037037, 11.106111111111112, 11.94949074074074, 12.42925925925926, 13.345995370370371, 13.84738425925926, 13.930277777777778, 14.900856481481481, 15.134652777777777, 15.941597222222223, 15.994375, 16.94738425925926, 20.080347222222223, 21.00525462962963, 21.35178240740741, 21.842291666666668, 21.981296296296296, 22.023078703703703, 22.063240740740742, 22.37537037037037 ], "time_since_last_event": [ 0.0, 1.5793055555555555, 0.11289351851851852, 0.8357407407407408, 0.3266203703703704, 0.7268287037037037, 0.6648379629629629, 0.5309722222222222, 1.4099768518518518, 0.4685416666666667, 0.75625, 0.43495370370370373, 0.6222222222222222, 0.10162037037037037, 0.2363425925925926, 1.5573148148148148, 0.03851851851851852, 0.1388888888888889, 0.4791666666666667, 0.08511574074074074, 0.8433796296296296, 0.47976851851851854, 0.9167361111111111, 0.5013888888888889, 0.08289351851851852, 0.9705787037037037, 0.2337962962962963, 0.8069444444444445, 0.05277777777777778, 0.9530092592592593, 3.132962962962963, 0.9249074074074074, 0.34652777777777777, 0.49050925925925926, 0.13900462962962962, 0.04178240740740741, 0.04016203703703704, 0.31212962962962965 ], "type_event": [ 10, 0, 0, 6, 8, 6, 7, 11, 16, 0, 7, 0, 9, 0, 0, 0, 3, 0, 7, 6, 10, 10, 0, 10, 10, 8, 9, 0, 0, 4, 7, 7, 4, 6, 11, 9, 10, 7 ], "type_text": [ "Burglary", "Theft", "Theft", "Criminal Damage", "Other Offense", "Criminal Damage", "Battery", "Robbery", "Narcotics", "Theft", "Battery", "Theft", "Assault", "Theft", "Theft", "Theft", "Deceptive Practice", "Theft", "Battery", "Criminal Damage", "Burglary", "Burglary", "Theft", "Burglary", "Burglary", "Other Offense", "Assault", "Theft", "Theft", "Motor Vehicle Theft", "Battery", "Battery", "Motor Vehicle Theft", "Criminal Damage", "Robbery", "Assault", "Burglary", "Battery" ], "description": "The sequence of crime incidents shows a pattern where theft-related offenses are prevalent in the earlier months, with multiple occurrences clustered within the first year. Criminal damage and battery incidents appear consistently throughout the timeline, while burglary incidents start to increase after the first year and continue to appear intermittently. Robbery and motor vehicle theft incidents are noted later in the sequence, indicating a potential shift in crime types over time. Overall, there is a noticeable clustering of various crime types in the initial months, followed by a diversification of incident types as time progresses." }, { "dim_process": 20, "seq_idx": 242, "seq_len": 33, "time_since_start": [ 0.0, 1.2949074074074074, 1.3090277777777777, 1.3166666666666667, 2.3309027777777778, 2.9402777777777778, 3.7515277777777776, 3.770601851851852, 3.7805555555555554, 3.816666666666667, 4.8902777777777775, 4.9, 5.878981481481482, 5.91238425925926, 8.850833333333334, 9.208564814814816, 9.61736111111111, 9.698611111111111, 10.160416666666666, 10.408333333333333, 10.817361111111111, 12.201851851851853, 14.175, 15.879722222222222, 16.612152777777776, 17.377777777777776, 18.443287037037038, 19.327083333333334, 19.54199074074074, 19.933796296296297, 20.309722222222224, 20.327638888888888, 20.441666666666666 ], "time_since_last_event": [ 0.0, 1.2949074074074074, 0.01412037037037037, 0.007638888888888889, 1.0142361111111111, 0.609375, 0.81125, 0.019074074074074073, 0.009953703703703704, 0.03611111111111111, 1.073611111111111, 0.009722222222222222, 0.9789814814814815, 0.03340277777777778, 2.938449074074074, 0.3577314814814815, 0.40879629629629627, 0.08125, 0.4618055555555556, 0.24791666666666667, 0.40902777777777777, 1.3844907407407407, 1.973148148148148, 1.7047222222222222, 0.7324305555555556, 0.765625, 1.0655092592592592, 0.8837962962962963, 0.2149074074074074, 0.3918055555555556, 0.37592592592592594, 0.017916666666666668, 0.11402777777777778 ], "type_event": [ 7, 9, 9, 6, 8, 0, 0, 7, 7, 0, 9, 7, 7, 8, 4, 9, 6, 3, 8, 6, 5, 7, 7, 7, 7, 6, 6, 7, 7, 3, 7, 0, 0 ], "type_text": [ "Battery", "Assault", "Assault", "Criminal Damage", "Other Offense", "Theft", "Theft", "Battery", "Battery", "Theft", "Assault", "Battery", "Battery", "Other Offense", "Motor Vehicle Theft", "Assault", "Criminal Damage", "Deceptive Practice", "Other Offense", "Criminal Damage", "Criminal Trespass", "Battery", "Battery", "Battery", "Battery", "Criminal Damage", "Criminal Damage", "Battery", "Battery", "Deceptive Practice", "Battery", "Theft", "Theft" ], "description": "The sequence of crime incidents begins with battery and assault occurring within the first few months, followed by a mix of other offenses and thefts in the subsequent months. Notably, there is a concentration of battery incidents that emerge consistently over time, particularly in the later months. Criminal damage events appear sporadically but increase in frequency as the timeline progresses. The sequence also shows a few instances of deceptive practices and thefts clustered towards the end of the timeline, indicating a diverse range of crime types occurring throughout the observed period." }, { "dim_process": 20, "seq_idx": 243, "seq_len": 37, "time_since_start": [ 0.0, 0.7519907407407408, 1.8355555555555556, 2.0077777777777777, 3.5121527777777777, 3.739375, 3.870185185185185, 4.070972222222222, 5.3462962962962965, 6.9062731481481485, 8.339583333333334, 9.071666666666667, 10.512083333333333, 10.534166666666666, 11.260555555555555, 12.137314814814815, 12.649444444444445, 13.62513888888889, 14.364027777777778, 14.400439814814815, 14.445023148148149, 14.7175, 14.753796296296295, 14.918888888888889, 14.96888888888889, 15.891041666666666, 15.906041666666667, 16.57261574074074, 17.93803240740741, 19.39296296296296, 19.533472222222223, 19.534305555555555, 19.63083333333333, 19.863333333333333, 20.761921296296297, 22.42791666666667, 23.21289351851852 ], "time_since_last_event": [ 0.0, 0.7519907407407408, 1.083564814814815, 0.17222222222222222, 1.504375, 0.22722222222222221, 0.1308101851851852, 0.20078703703703704, 1.275324074074074, 1.5599768518518518, 1.4333101851851853, 0.7320833333333333, 1.4404166666666667, 0.022083333333333333, 0.7263888888888889, 0.8767592592592592, 0.5121296296296296, 0.9756944444444444, 0.7388888888888889, 0.036412037037037034, 0.044583333333333336, 0.27247685185185183, 0.0362962962962963, 0.1650925925925926, 0.05, 0.9221527777777778, 0.015, 0.6665740740740741, 1.3654166666666667, 1.4549305555555556, 0.14050925925925925, 0.0008333333333333334, 0.09652777777777778, 0.2325, 0.898587962962963, 1.6659953703703703, 0.7849768518518518 ], "type_event": [ 7, 6, 11, 13, 7, 9, 19, 16, 18, 7, 1, 6, 7, 9, 0, 7, 1, 7, 9, 10, 6, 7, 2, 7, 6, 9, 9, 1, 7, 7, 0, 19, 4, 17, 13, 7, 8 ], "type_text": [ "Battery", "Criminal Damage", "Robbery", "Offense Involving Children", "Battery", "Assault", "Homicide", "Narcotics", "Public Peace Violation", "Battery", "Weapons Violation", "Criminal Damage", "Battery", "Assault", "Theft", "Battery", "Weapons Violation", "Battery", "Assault", "Burglary", "Criminal Damage", "Battery", "Sex Offense", "Battery", "Criminal Damage", "Assault", "Assault", "Weapons Violation", "Battery", "Battery", "Theft", "Homicide", "Motor Vehicle Theft", "Stalking", "Offense Involving Children", "Battery", "Other Offense" ], "description": "The sequence of crime incidents shows a variety of crime types reported over time, with a notable clustering of battery incidents occurring throughout the timeline. Initially, incidents such as battery and criminal damage are reported, followed by a mix of robbery and offenses involving children. As time progresses, there is a significant increase in the frequency of battery, assault, and criminal damage incidents, particularly in the later months. Homicides appear twice in close succession, while other offenses like theft and narcotics violations are also present, indicating a diverse range of criminal activity over the observed period." }, { "dim_process": 20, "seq_idx": 244, "seq_len": 45, "time_since_start": [ 0.0, 1.275, 1.8721064814814814, 4.009722222222222, 4.4430555555555555, 5.134398148148148, 6.1789351851851855, 6.307337962962963, 7.1829629629629625, 7.804444444444444, 7.904583333333333, 8.054976851851851, 8.282662037037037, 9.03601851851852, 9.19835648148148, 9.436111111111112, 10.276388888888889, 10.619699074074074, 11.348611111111111, 11.749791666666667, 12.477407407407407, 13.545277777777779, 13.805185185185184, 14.375, 14.384490740740741, 14.63888888888889, 14.891319444444445, 15.533333333333333, 15.56423611111111, 15.725462962962963, 17.142546296296295, 17.824305555555554, 17.946527777777778, 18.340162037037036, 19.206805555555555, 19.20685185185185, 19.36875, 19.711018518518518, 19.791273148148147, 20.005208333333332, 20.396527777777777, 20.731319444444445, 20.981435185185184, 21.306597222222223, 21.82777777777778 ], "time_since_last_event": [ 0.0, 1.275, 0.5971064814814815, 2.1376157407407406, 0.43333333333333335, 0.6913425925925926, 1.044537037037037, 0.12840277777777778, 0.875625, 0.6214814814814815, 0.10013888888888889, 0.1503935185185185, 0.22768518518518518, 0.7533564814814815, 0.16233796296296296, 0.23775462962962962, 0.8402777777777778, 0.3433101851851852, 0.728912037037037, 0.40118055555555554, 0.7276157407407408, 1.0678703703703705, 0.2599074074074074, 0.5698148148148148, 0.00949074074074074, 0.25439814814814815, 0.25243055555555555, 0.6420138888888889, 0.03090277777777778, 0.16122685185185184, 1.4170833333333333, 0.6817592592592593, 0.12222222222222222, 0.39363425925925927, 0.8666435185185185, 4.6296296296296294e-05, 0.16189814814814815, 0.3422685185185185, 0.08025462962962963, 0.21393518518518517, 0.39131944444444444, 0.33479166666666665, 0.2501157407407407, 0.32516203703703705, 0.5211805555555555 ], "type_event": [ 6, 0, 9, 6, 3, 9, 7, 1, 10, 1, 8, 6, 11, 3, 3, 4, 7, 7, 11, 10, 6, 10, 0, 10, 10, 4, 0, 4, 9, 9, 11, 0, 7, 9, 11, 11, 9, 3, 0, 1, 7, 9, 10, 11, 2 ], "type_text": [ "Criminal Damage", "Theft", "Assault", "Criminal Damage", "Deceptive Practice", "Assault", "Battery", "Weapons Violation", "Burglary", "Weapons Violation", "Other Offense", "Criminal Damage", "Robbery", "Deceptive Practice", "Deceptive Practice", "Motor Vehicle Theft", "Battery", "Battery", "Robbery", "Burglary", "Criminal Damage", "Burglary", "Theft", "Burglary", "Burglary", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Assault", "Assault", "Robbery", "Theft", "Battery", "Assault", "Robbery", "Robbery", "Assault", "Deceptive Practice", "Theft", "Weapons Violation", "Battery", "Assault", "Burglary", "Robbery", "Sex Offense" ], "description": "The sequence of crime incidents shows a progression of various crime types over time, with certain types appearing more frequently in specific periods. Initially, incidents such as Criminal Damage and Theft occur within the first few months, followed by a rise in Assault and Weapons Violations as time progresses. A notable clustering of Robbery and Burglary offenses appears in the latter months, particularly around the 17 to 21-month mark, while Deceptive Practices and Motor Vehicle Theft also emerge consistently throughout the timeline. Overall, the data reflects a gradual increase in the variety and frequency of crime incidents as time advances." }, { "dim_process": 20, "seq_idx": 245, "seq_len": 36, "time_since_start": [ 0.0, 0.2040509259259259, 0.5455092592592593, 1.265462962962963, 2.441550925925926, 3.0247685185185187, 3.3003935185185185, 4.157986111111111, 5.070486111111111, 5.157638888888889, 6.608587962962963, 7.199189814814815, 7.472222222222222, 9.17361111111111, 9.239814814814816, 10.186041666666666, 11.093402777777778, 12.169097222222222, 12.315810185185185, 12.698726851851852, 12.866087962962963, 14.909768518518518, 15.338148148148148, 16.00803240740741, 16.13898148148148, 16.203842592592594, 17.032152777777778, 17.241226851851852, 18.398263888888888, 18.423726851851853, 18.515694444444446, 19.195486111111112, 19.465324074074076, 19.52314814814815, 19.604282407407407, 20.352430555555557 ], "time_since_last_event": [ 0.0, 0.2040509259259259, 0.3414583333333333, 0.7199537037037037, 1.176087962962963, 0.5832175925925925, 0.275625, 0.8575925925925926, 0.9125, 0.08715277777777777, 1.450949074074074, 0.5906018518518519, 0.2730324074074074, 1.7013888888888888, 0.06620370370370371, 0.9462268518518518, 0.9073611111111111, 1.0756944444444445, 0.14671296296296296, 0.3829166666666667, 0.1673611111111111, 2.0436805555555555, 0.4283796296296296, 0.6698842592592592, 0.13094907407407408, 0.0648611111111111, 0.8283101851851852, 0.20907407407407408, 1.157037037037037, 0.02546296296296296, 0.09196759259259259, 0.6797916666666667, 0.269837962962963, 0.057824074074074076, 0.08113425925925925, 0.7481481481481481 ], "type_event": [ 6, 6, 16, 16, 8, 8, 9, 3, 13, 2, 8, 4, 6, 16, 9, 16, 3, 4, 9, 1, 9, 8, 15, 8, 12, 7, 7, 16, 0, 9, 0, 0, 7, 8, 6, 11 ], "type_text": [ "Criminal Damage", "Criminal Damage", "Narcotics", "Narcotics", "Other Offense", "Other Offense", "Assault", "Deceptive Practice", "Offense Involving Children", "Sex Offense", "Other Offense", "Motor Vehicle Theft", "Criminal Damage", "Narcotics", "Assault", "Narcotics", "Deceptive Practice", "Motor Vehicle Theft", "Assault", "Weapons Violation", "Assault", "Other Offense", "Interference With Public Officer", "Other Offense", "Arson", "Battery", "Battery", "Narcotics", "Theft", "Assault", "Theft", "Theft", "Battery", "Other Offense", "Criminal Damage", "Robbery" ], "description": "The sequence of crime incidents shows a pattern where Criminal Damage and Narcotics offenses occur early in the timeline, with multiple instances clustered within the first few months. Other Offenses appear consistently throughout the sequence, with notable occurrences at various intervals. Assaults and Battery offenses increase in frequency as the timeline progresses, particularly in the later months. The sequence also includes a mix of theft and robbery incidents that emerge towards the end, indicating a shift in the types of crimes reported over time." }, { "dim_process": 20, "seq_idx": 246, "seq_len": 32, "time_since_start": [ 0.0, 1.0402777777777779, 1.9840277777777777, 2.013888888888889, 2.9449074074074075, 3.003125, 4.324328703703704, 4.854166666666667, 6.494861111111111, 7.544444444444444, 7.757638888888889, 8.904745370370371, 10.001388888888888, 10.376388888888888, 10.4625, 10.520833333333334, 11.077083333333333, 12.188888888888888, 13.805208333333333, 14.089583333333334, 16.239768518518517, 16.362986111111113, 17.281388888888888, 17.5125, 17.571064814814815, 18.13888888888889, 19.219444444444445, 20.36875, 20.61284722222222, 20.878842592592594, 22.73599537037037, 22.85333333333333 ], "time_since_last_event": [ 0.0, 1.0402777777777779, 0.94375, 0.029861111111111113, 0.9310185185185185, 0.05821759259259259, 1.3212037037037037, 0.5298379629629629, 1.6406944444444445, 1.0495833333333333, 0.21319444444444444, 1.1471064814814815, 1.0966435185185186, 0.375, 0.08611111111111111, 0.058333333333333334, 0.55625, 1.1118055555555555, 1.6163194444444444, 0.284375, 2.150185185185185, 0.12321759259259259, 0.9184027777777778, 0.2311111111111111, 0.05856481481481481, 0.5678240740740741, 1.0805555555555555, 1.1493055555555556, 0.24409722222222222, 0.26599537037037035, 1.8571527777777779, 0.11733796296296296 ], "type_event": [ 6, 3, 0, 0, 1, 0, 0, 4, 0, 7, 7, 7, 0, 6, 7, 6, 13, 8, 6, 7, 3, 6, 7, 0, 0, 3, 6, 3, 8, 3, 8, 4 ], "type_text": [ "Criminal Damage", "Deceptive Practice", "Theft", "Theft", "Weapons Violation", "Theft", "Theft", "Motor Vehicle Theft", "Theft", "Battery", "Battery", "Battery", "Theft", "Criminal Damage", "Battery", "Criminal Damage", "Offense Involving Children", "Other Offense", "Criminal Damage", "Battery", "Deceptive Practice", "Criminal Damage", "Battery", "Theft", "Theft", "Deceptive Practice", "Criminal Damage", "Deceptive Practice", "Other Offense", "Deceptive Practice", "Other Offense", "Motor Vehicle Theft" ], "description": "The sequence of crime incidents shows a progression of various crime types over time, with certain patterns emerging. Initially, incidents of Theft and Criminal Damage are prevalent within the first few months, followed by a noticeable increase in Battery incidents around the seven-month mark. Deceptive Practices appear intermittently, particularly clustered in the later months, while Other Offenses and Weapons Violations are less frequent and appear sporadically. Overall, the data indicates a trend of increasing variety in crime types as time progresses, with certain types like Theft and Battery becoming more prominent in the latter half of the sequence." }, { "dim_process": 20, "seq_idx": 247, "seq_len": 42, "time_since_start": [ 0.0, 0.7939351851851851, 1.3652777777777778, 1.493287037037037, 2.7680555555555557, 3.7597222222222224, 4.376388888888889, 4.773611111111111, 5.019444444444445, 5.707407407407407, 5.793009259259259, 6.398611111111111, 7.311157407407407, 7.759722222222222, 7.772453703703704, 8.23611111111111, 9.666435185185184, 10.139583333333333, 10.147175925925925, 10.165277777777778, 10.8, 11.535416666666666, 11.573449074074073, 12.034282407407407, 12.496736111111112, 13.4125, 15.483333333333333, 15.789930555555555, 15.790023148148148, 16.022222222222222, 16.32986111111111, 16.631226851851853, 16.801388888888887, 17.12847222222222, 17.96736111111111, 21.06625, 21.790972222222223, 22.176458333333333, 22.428472222222222, 23.40486111111111, 23.502314814814813, 23.895138888888887 ], "time_since_last_event": [ 0.0, 0.7939351851851851, 0.5713425925925926, 0.12800925925925927, 1.2747685185185185, 0.9916666666666667, 0.6166666666666667, 0.3972222222222222, 0.24583333333333332, 0.687962962962963, 0.08560185185185185, 0.6056018518518519, 0.9125462962962962, 0.4485648148148148, 0.01273148148148148, 0.4636574074074074, 1.4303240740740741, 0.47314814814814815, 0.007592592592592593, 0.01810185185185185, 0.6347222222222222, 0.7354166666666667, 0.03803240740740741, 0.4608333333333333, 0.4624537037037037, 0.9157638888888889, 2.0708333333333333, 0.30659722222222224, 9.259259259259259e-05, 0.23219907407407409, 0.3076388888888889, 0.30136574074074074, 0.17016203703703703, 0.32708333333333334, 0.8388888888888889, 3.098888888888889, 0.7247222222222223, 0.3854861111111111, 0.25201388888888887, 0.9763888888888889, 0.09745370370370371, 0.39282407407407405 ], "type_event": [ 4, 0, 4, 0, 6, 3, 11, 0, 0, 4, 9, 8, 7, 3, 6, 7, 11, 7, 0, 3, 4, 9, 8, 11, 8, 10, 4, 9, 7, 4, 5, 3, 4, 6, 4, 7, 0, 8, 9, 6, 10, 7 ], "type_text": [ "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Theft", "Criminal Damage", "Deceptive Practice", "Robbery", "Theft", "Theft", "Motor Vehicle Theft", "Assault", "Other Offense", "Battery", "Deceptive Practice", "Criminal Damage", "Battery", "Robbery", "Battery", "Theft", "Deceptive Practice", "Motor Vehicle Theft", "Assault", "Other Offense", "Robbery", "Other Offense", "Burglary", "Motor Vehicle Theft", "Assault", "Battery", "Motor Vehicle Theft", "Criminal Trespass", "Deceptive Practice", "Motor Vehicle Theft", "Criminal Damage", "Motor Vehicle Theft", "Battery", "Theft", "Other Offense", "Assault", "Criminal Damage", "Burglary", "Battery" ], "description": "The sequence of crime incidents shows a pattern where Motor Vehicle Theft occurs frequently and tends to appear both early and later in the timeline, indicating a sustained presence throughout the period. Theft incidents also appear consistently, with several occurrences clustered in the early months and again later on. Other offenses like Assault and Battery emerge in clusters around the mid to later months, while Robbery appears sporadically but consistently after the initial few months. Deceptive Practices and Criminal Damage incidents are interspersed throughout, with some clustering in the mid to later months of the timeline." }, { "dim_process": 20, "seq_idx": 248, "seq_len": 54, "time_since_start": [ 0.0, 0.2836574074074074, 0.4913194444444444, 1.205787037037037, 1.8772222222222221, 2.0625, 3.2398148148148147, 4.221967592592593, 4.818032407407407, 5.08125, 5.5398148148148145, 5.904166666666667, 7.050740740740741, 7.499212962962963, 7.549884259259259, 7.833958333333333, 8.06875, 8.115601851851851, 8.450046296296296, 8.691319444444444, 9.689583333333333, 10.520787037037037, 10.72962962962963, 10.744444444444444, 11.27460648148148, 11.28125, 11.761111111111111, 11.842384259259259, 11.848611111111111, 11.992800925925925, 12.113680555555556, 12.483217592592593, 13.073842592592593, 13.347916666666666, 13.538310185185185, 13.64837962962963, 13.64837962962963, 14.444328703703704, 14.457986111111111, 14.991666666666667, 18.09375, 18.479097222222222, 18.945324074074072, 19.031689814814815, 20.097708333333333, 20.113194444444446, 20.56273148148148, 21.008796296296296, 21.360277777777778, 21.363032407407406, 22.051574074074075, 23.07847222222222, 23.443055555555556, 23.838657407407407 ], "time_since_last_event": [ 0.0, 0.2836574074074074, 0.20766203703703703, 0.7144675925925926, 0.6714351851851852, 0.1852777777777778, 1.177314814814815, 0.9821527777777778, 0.5960648148148148, 0.2632175925925926, 0.4585648148148148, 0.36435185185185187, 1.146574074074074, 0.4484722222222222, 0.0506712962962963, 0.2840740740740741, 0.23479166666666668, 0.04685185185185185, 0.33444444444444443, 0.24127314814814815, 0.9982638888888888, 0.8312037037037037, 0.20884259259259258, 0.014814814814814815, 0.530162037037037, 0.006643518518518518, 0.4798611111111111, 0.08127314814814815, 0.0062268518518518515, 0.14418981481481483, 0.12087962962962963, 0.36953703703703705, 0.590625, 0.2740740740740741, 0.19039351851851852, 0.11006944444444444, 0.0, 0.7959490740740741, 0.013657407407407408, 0.5336805555555556, 3.1020833333333333, 0.38534722222222223, 0.46622685185185186, 0.08636574074074074, 1.0660185185185185, 0.015486111111111112, 0.449537037037037, 0.4460648148148148, 0.3514814814814815, 0.0027546296296296294, 0.6885416666666667, 1.026898148148148, 0.3645833333333333, 0.39560185185185187 ], "type_event": [ 0, 7, 7, 11, 16, 9, 7, 6, 6, 9, 7, 0, 7, 1, 7, 5, 7, 1, 7, 4, 11, 10, 9, 4, 0, 11, 10, 8, 4, 7, 8, 8, 7, 7, 1, 7, 6, 8, 10, 9, 11, 10, 8, 7, 9, 4, 8, 8, 1, 1, 1, 4, 4, 16 ], "type_text": [ "Theft", "Battery", "Battery", "Robbery", "Narcotics", "Assault", "Battery", "Criminal Damage", "Criminal Damage", "Assault", "Battery", "Theft", "Battery", "Weapons Violation", "Battery", "Criminal Trespass", "Battery", "Weapons Violation", "Battery", "Motor Vehicle Theft", "Robbery", "Burglary", "Assault", "Motor Vehicle Theft", "Theft", "Robbery", "Burglary", "Other Offense", "Motor Vehicle Theft", "Battery", "Other Offense", "Other Offense", "Battery", "Battery", "Weapons Violation", "Battery", "Criminal Damage", "Other Offense", "Burglary", "Assault", "Robbery", "Burglary", "Other Offense", "Battery", "Assault", "Motor Vehicle Theft", "Other Offense", "Other Offense", "Weapons Violation", "Weapons Violation", "Weapons Violation", "Motor Vehicle Theft", "Motor Vehicle Theft", "Narcotics" ], "description": "The sequence of crime incidents shows a variety of offenses occurring over time, with certain types of crimes appearing more frequently in specific periods. Initially, theft and battery incidents are reported, followed by a mix of robbery, narcotics, and assault events. As time progresses, there is a notable increase in battery and other violent offenses, with a clustering of various crimes, including weapons violations and motor vehicle thefts, around the latter months. Towards the end of the sequence, multiple occurrences of motor vehicle theft and other offenses are recorded, indicating a shift in crime patterns as time advances." }, { "dim_process": 20, "seq_idx": 249, "seq_len": 47, "time_since_start": [ 0.0, 0.03930555555555556, 0.04659722222222222, 0.3353703703703704, 0.48444444444444446, 0.9538888888888889, 1.3879166666666667, 2.124722222222222, 2.2997453703703705, 3.673611111111111, 3.931087962962963, 4.435601851851852, 5.620555555555556, 6.623333333333333, 7.103518518518518, 7.224027777777778, 7.501805555555555, 7.9309259259259255, 8.124722222222223, 8.630023148148148, 8.952037037037037, 9.59625, 10.691041666666667, 10.934907407407408, 10.943472222222223, 11.37326388888889, 12.048518518518518, 12.799722222222222, 13.304930555555556, 14.045555555555556, 14.144166666666667, 15.28386574074074, 15.79474537037037, 16.63016203703704, 18.43849537037037, 18.52541666666667, 19.37611111111111, 19.410138888888888, 19.623101851851853, 19.67652777777778, 19.990694444444443, 21.478194444444444, 21.801111111111112, 22.123333333333335, 22.503657407407406, 24.208055555555557, 24.222037037037037 ], "time_since_last_event": [ 0.0, 0.03930555555555556, 0.007291666666666667, 0.28877314814814814, 0.14907407407407408, 0.46944444444444444, 0.4340277777777778, 0.7368055555555556, 0.17502314814814815, 1.3738657407407406, 0.2574768518518519, 0.5045138888888889, 1.1849537037037037, 1.0027777777777778, 0.48018518518518516, 0.12050925925925926, 0.2777777777777778, 0.4291203703703704, 0.1937962962962963, 0.5053009259259259, 0.3220138888888889, 0.6442129629629629, 1.0947916666666666, 0.24386574074074074, 0.008564814814814815, 0.4297916666666667, 0.6752546296296297, 0.7512037037037037, 0.5052083333333334, 0.740625, 0.09861111111111111, 1.139699074074074, 0.5108796296296296, 0.8354166666666667, 1.8083333333333333, 0.0869212962962963, 0.8506944444444444, 0.034027777777777775, 0.21296296296296297, 0.053425925925925925, 0.31416666666666665, 1.4875, 0.3229166666666667, 0.32222222222222224, 0.3803240740740741, 1.704398148148148, 0.013981481481481482 ], "type_event": [ 7, 9, 6, 6, 3, 4, 0, 0, 4, 8, 6, 11, 0, 4, 3, 4, 4, 4, 4, 8, 4, 4, 9, 17, 17, 9, 8, 4, 0, 8, 3, 6, 9, 1, 4, 11, 8, 7, 7, 6, 0, 6, 6, 0, 7, 8, 3 ], "type_text": [ "Battery", "Assault", "Criminal Damage", "Criminal Damage", "Deceptive Practice", "Motor Vehicle Theft", "Theft", "Theft", "Motor Vehicle Theft", "Other Offense", "Criminal Damage", "Robbery", "Theft", "Motor Vehicle Theft", "Deceptive Practice", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Other Offense", "Motor Vehicle Theft", "Motor Vehicle Theft", "Assault", "Stalking", "Stalking", "Assault", "Other Offense", "Motor Vehicle Theft", "Theft", "Other Offense", "Deceptive Practice", "Criminal Damage", "Assault", "Weapons Violation", "Motor Vehicle Theft", "Robbery", "Other Offense", "Battery", "Battery", "Criminal Damage", "Theft", "Criminal Damage", "Criminal Damage", "Theft", "Battery", "Other Offense", "Deceptive Practice" ], "description": "The sequence of crime incidents shows a variety of offenses occurring over time, with certain types of crimes clustered in specific periods. Initially, there are incidents of Battery and Assault, followed by a mix of Criminal Damage and Deceptive Practices. A notable trend is the frequent occurrence of Motor Vehicle Theft, which begins to appear after several months and continues to dominate the later part of the timeline. Other Offenses and Theft also appear intermittently throughout the sequence, with a slight increase in the frequency of Assaults and Battery incidents as time progresses. Criminal Damage incidents are spread throughout the timeline, with a noticeable concentration in the latter months." }, { "dim_process": 20, "seq_idx": 250, "seq_len": 46, "time_since_start": [ 0.0, 0.04090277777777778, 0.408125, 2.268032407407407, 3.0530787037037035, 3.989398148148148, 4.167060185185186, 4.197152777777778, 4.2096527777777775, 4.747152777777778, 5.161041666666667, 5.235856481481481, 5.996921296296296, 6.133263888888889, 7.729097222222222, 8.100763888888888, 8.221689814814814, 8.427175925925926, 8.489097222222222, 8.695787037037038, 8.797847222222222, 10.049930555555555, 10.689375, 11.077407407407408, 11.562870370370371, 12.06451388888889, 12.534143518518519, 12.58511574074074, 12.69298611111111, 13.132939814814815, 14.195162037037036, 14.427939814814815, 14.462407407407408, 15.036435185185185, 15.795787037037037, 16.553680555555555, 16.889930555555555, 17.331180555555555, 17.862430555555555, 18.033148148148147, 18.172615740740742, 18.347569444444446, 18.623541666666668, 19.010416666666668, 19.91386574074074, 20.25023148148148 ], "time_since_last_event": [ 0.0, 0.04090277777777778, 0.3672222222222222, 1.8599074074074073, 0.7850462962962963, 0.9363194444444445, 0.17766203703703703, 0.03009259259259259, 0.0125, 0.5375, 0.41388888888888886, 0.07481481481481482, 0.7610648148148148, 0.1363425925925926, 1.5958333333333334, 0.37166666666666665, 0.12092592592592592, 0.20548611111111112, 0.061921296296296294, 0.20668981481481483, 0.10206018518518518, 1.2520833333333334, 0.6394444444444445, 0.3880324074074074, 0.485462962962963, 0.5016435185185185, 0.4696296296296296, 0.050972222222222224, 0.10787037037037037, 0.4399537037037037, 1.0622222222222222, 0.23277777777777778, 0.03446759259259259, 0.5740277777777778, 0.7593518518518518, 0.7578935185185185, 0.33625, 0.44125, 0.53125, 0.1707175925925926, 0.1394675925925926, 0.1749537037037037, 0.27597222222222223, 0.386875, 0.903449074074074, 0.3363657407407407 ], "type_event": [ 1, 0, 7, 7, 9, 9, 6, 8, 6, 8, 7, 7, 1, 6, 8, 8, 8, 1, 1, 0, 6, 7, 7, 17, 9, 10, 7, 7, 7, 7, 9, 1, 1, 9, 6, 4, 7, 1, 6, 7, 9, 9, 7, 7, 9, 6 ], "type_text": [ "Weapons Violation", "Theft", "Battery", "Battery", "Assault", "Assault", "Criminal Damage", "Other Offense", "Criminal Damage", "Other Offense", "Battery", "Battery", "Weapons Violation", "Criminal Damage", "Other Offense", "Other Offense", "Other Offense", "Weapons Violation", "Weapons Violation", "Theft", "Criminal Damage", "Battery", "Battery", "Stalking", "Assault", "Burglary", "Battery", "Battery", "Battery", "Battery", "Assault", "Weapons Violation", "Weapons Violation", "Assault", "Criminal Damage", "Motor Vehicle Theft", "Battery", "Weapons Violation", "Criminal Damage", "Battery", "Assault", "Assault", "Battery", "Battery", "Assault", "Criminal Damage" ], "description": "The sequence of crime incidents shows a variety of crime types reported over time, with notable clustering of certain offenses. Initially, weapons violations and theft occur early in the timeline, followed by a series of battery incidents that peak around the 10-month mark. Assaults and other offenses appear intermittently, with a notable increase in weapons violations and criminal damage as the timeline progresses. Towards the latter part of the sequence, there is a significant rise in battery incidents, alongside a steady occurrence of assaults and criminal damage, indicating a trend of increasing crime frequency over time." }, { "dim_process": 20, "seq_idx": 251, "seq_len": 84, "time_since_start": [ 0.0, 0.13020833333333334, 0.1307638888888889, 0.15243055555555557, 0.19131944444444443, 0.8675462962962963, 3.0288194444444443, 3.2315972222222222, 3.9127314814814813, 4.006597222222222, 4.305208333333334, 4.744097222222222, 4.852986111111111, 5.041643518518518, 5.442708333333333, 5.6149305555555555, 5.995486111111111, 6.042013888888889, 6.182199074074074, 6.254606481481481, 7.051041666666666, 7.518402777777778, 7.670486111111111, 7.709375, 8.052430555555556, 8.081597222222221, 8.440625, 8.612152777777778, 8.947106481481482, 8.960416666666667, 9.25798611111111, 9.405902777777778, 9.766087962962963, 10.24826388888889, 10.267870370370371, 11.10625, 11.216597222222223, 12.160763888888889, 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0.03888888888888889, 0.6762268518518518, 2.161273148148148, 0.20277777777777778, 0.6811342592592593, 0.09386574074074074, 0.2986111111111111, 0.4388888888888889, 0.10888888888888888, 0.1886574074074074, 0.4010648148148148, 0.17222222222222222, 0.38055555555555554, 0.04652777777777778, 0.1401851851851852, 0.0724074074074074, 0.7964351851851852, 0.4673611111111111, 0.15208333333333332, 0.03888888888888889, 0.34305555555555556, 0.029166666666666667, 0.3590277777777778, 0.17152777777777778, 0.3349537037037037, 0.013310185185185185, 0.29756944444444444, 0.14791666666666667, 0.36018518518518516, 0.48217592592592595, 0.01960648148148148, 0.8383796296296296, 0.11034722222222222, 0.9441666666666667, 0.04722222222222222, 0.5972222222222222, 0.17543981481481483, 0.425, 0.024560185185185185, 0.5638888888888889, 0.35347222222222224, 0.046296296296296294, 0.5780092592592593, 0.09930555555555555, 0.11875, 0.014930555555555556, 0.8893287037037036, 0.3512962962962963, 0.27152777777777776, 0.26180555555555557, 0.1711574074074074, 0.018425925925925925, 0.8613425925925926, 0.2181712962962963, 0.2296064814814815, 0.015092592592592593, 0.13898148148148148, 0.1638888888888889, 0.04722222222222222, 0.14305555555555555, 0.022824074074074073, 0.26502314814814815, 0.21157407407407408, 0.03715277777777778, 0.14537037037037037, 0.23125, 0.2826388888888889, 0.08518518518518518, 0.38981481481481484, 0.08194444444444444, 0.10555555555555556, 0.5501388888888888, 0.10888888888888888, 0.17152777777777778, 0.1111111111111111, 0.4023148148148148, 0.347337962962963, 0.30777777777777776, 0.2884027777777778, 0.0375 ], "type_event": [ 10, 10, 10, 10, 4, 6, 4, 4, 9, 4, 7, 0, 6, 1, 4, 7, 8, 6, 7, 7, 7, 7, 4, 0, 8, 10, 7, 0, 7, 9, 17, 6, 7, 3, 8, 7, 0, 0, 4, 0, 7, 0, 3, 3, 0, 11, 7, 0, 6, 11, 0, 4, 5, 7, 9, 5, 4, 6, 9, 6, 4, 0, 6, 4, 6, 7, 11, 7, 4, 6, 7, 0, 4, 0, 0, 0, 4, 0, 9, 7, 3, 7, 11, 0 ], "type_text": [ "Burglary", "Burglary", "Burglary", "Burglary", "Motor Vehicle Theft", "Criminal Damage", "Motor Vehicle Theft", "Motor Vehicle Theft", "Assault", "Motor Vehicle Theft", "Battery", "Theft", "Criminal Damage", "Weapons Violation", "Motor Vehicle Theft", "Battery", "Other Offense", "Criminal Damage", "Battery", "Battery", "Battery", "Battery", "Motor Vehicle Theft", "Theft", "Other Offense", "Burglary", "Battery", "Theft", "Battery", "Assault", "Stalking", "Criminal Damage", "Battery", "Deceptive Practice", "Other Offense", "Battery", "Theft", "Theft", "Motor Vehicle Theft", "Theft", "Battery", "Theft", "Deceptive Practice", "Deceptive Practice", "Theft", "Robbery", "Battery", "Theft", "Criminal Damage", "Robbery", "Theft", "Motor Vehicle Theft", "Criminal Trespass", "Battery", "Assault", "Criminal Trespass", "Motor Vehicle Theft", "Criminal Damage", "Assault", "Criminal Damage", "Motor Vehicle Theft", "Theft", "Criminal Damage", "Motor Vehicle Theft", "Criminal Damage", "Battery", "Robbery", "Battery", "Motor Vehicle Theft", "Criminal Damage", "Battery", "Theft", "Motor Vehicle Theft", "Theft", "Theft", "Theft", "Motor Vehicle Theft", "Theft", "Assault", "Battery", "Deceptive Practice", "Battery", "Robbery", "Theft" ], "description": "The sequence of crime incidents begins with a cluster of burglaries occurring in the initial months, followed by a rise in motor vehicle thefts shortly thereafter. As time progresses, there is a noticeable increase in battery incidents and criminal damage reports, particularly in the mid to later months. The frequency of thefts also escalates, with several occurrences noted in the latter part of the timeline. Additionally, there are sporadic reports of assaults and robberies interspersed throughout the sequence, indicating a diverse range of crime types emerging over time." }, { "dim_process": 20, "seq_idx": 252, "seq_len": 54, "time_since_start": [ 0.0, 0.6366898148148148, 2.635300925925926, 2.6814814814814816, 3.7503935185185187, 3.8984953703703704, 4.543634259259259, 5.052337962962963, 5.209513888888889, 5.211481481481481, 8.138078703703703, 8.767708333333333, 9.01099537037037, 9.34363425925926, 10.57974537037037, 10.964467592592593, 10.974884259259259, 11.838078703703705, 12.285324074074074, 12.324189814814815, 12.389930555555555, 12.77349537037037, 13.01099537037037, 13.709537037037038, 13.7175, 13.799189814814815, 14.085300925925926, 14.599189814814816, 14.800856481481482, 15.076967592592593, 15.448541666666667, 16.808564814814815, 16.995949074074073, 17.23599537037037, 17.621412037037036, 17.910185185185185, 18.032523148148147, 18.07789351851852, 18.47488425925926, 18.50497685185185, 18.60127314814815, 18.713657407407407, 19.085324074074073, 19.619629629629628, 19.851990740740742, 19.93988425925926, 20.14224537037037, 20.47974537037037, 20.761574074074073, 20.904050925925926, 22.27974537037037, 22.446064814814815, 22.985300925925927, 23.480925925925927 ], "time_since_last_event": [ 0.0, 0.6366898148148148, 1.9986111111111111, 0.04618055555555556, 1.068912037037037, 0.14810185185185185, 0.6451388888888889, 0.5087037037037037, 0.1571759259259259, 0.0019675925925925924, 2.926597222222222, 0.6296296296296297, 0.24328703703703702, 0.3326388888888889, 1.2361111111111112, 0.38472222222222224, 0.010416666666666666, 0.8631944444444445, 0.4472453703703704, 0.03886574074074074, 0.06574074074074074, 0.3835648148148148, 0.2375, 0.6985416666666666, 0.007962962962962963, 0.08168981481481481, 0.2861111111111111, 0.5138888888888888, 0.20166666666666666, 0.2761111111111111, 0.37157407407407406, 1.3600231481481482, 0.18738425925925925, 0.24004629629629629, 0.3854166666666667, 0.28877314814814814, 0.12233796296296297, 0.04537037037037037, 0.39699074074074076, 0.03009259259259259, 0.0962962962962963, 0.11238425925925925, 0.37166666666666665, 0.5343055555555556, 0.2323611111111111, 0.08789351851851852, 0.2023611111111111, 0.3375, 0.2818287037037037, 0.14247685185185185, 1.3756944444444446, 0.16631944444444444, 0.5392361111111111, 0.495625 ], "type_event": [ 9, 0, 0, 6, 7, 7, 9, 6, 5, 7, 4, 7, 6, 7, 0, 7, 9, 10, 3, 14, 14, 9, 7, 6, 5, 7, 0, 0, 7, 4, 9, 6, 6, 9, 9, 0, 0, 3, 0, 4, 6, 4, 0, 7, 0, 9, 0, 0, 9, 9, 11, 6, 0, 9 ], "type_text": [ "Assault", "Theft", "Theft", "Criminal Damage", "Battery", "Battery", "Assault", "Criminal Damage", "Criminal Trespass", "Battery", "Motor Vehicle Theft", "Battery", "Criminal Damage", "Battery", "Theft", "Battery", "Assault", "Burglary", "Deceptive Practice", "Criminal Sexual Assault", "Criminal Sexual Assault", "Assault", "Battery", "Criminal Damage", "Criminal Trespass", "Battery", "Theft", "Theft", "Battery", "Motor Vehicle Theft", "Assault", "Criminal Damage", "Criminal Damage", "Assault", "Assault", "Theft", "Theft", "Deceptive Practice", "Theft", "Motor Vehicle Theft", "Criminal Damage", "Motor Vehicle Theft", "Theft", "Battery", "Theft", "Assault", "Theft", "Theft", "Assault", "Assault", "Robbery", "Criminal Damage", "Theft", "Assault" ], "description": "The sequence of crime incidents shows a variety of crime types occurring over time, with notable clustering of certain events. Assaults and batteries appear frequently throughout the timeline, particularly in the earlier months and again towards the end. Thefts also demonstrate a consistent presence, with multiple occurrences spread out over the entire period. Criminal damage incidents are more concentrated in the middle of the timeline, while motor vehicle thefts appear in the later months. Additionally, there are instances of deceptive practices and a robbery that occur towards the end of the sequence, indicating a potential shift in crime type as time progresses." }, { "dim_process": 20, "seq_idx": 253, "seq_len": 35, "time_since_start": [ 0.0, 0.025555555555555557, 0.5998611111111111, 2.3783333333333334, 4.301828703703704, 4.748472222222222, 6.220694444444445, 6.346736111111111, 6.6621296296296295, 6.962361111111111, 7.262361111111111, 7.892222222222222, 9.092916666666667, 9.282337962962963, 9.718263888888888, 10.595277777777778, 12.827638888888888, 13.634583333333333, 14.32625, 14.532962962962962, 14.925902777777777, 15.29875, 15.540300925925926, 15.877986111111111, 15.888055555555555, 16.4075, 16.631805555555555, 17.093819444444446, 17.758194444444445, 18.118773148148147, 18.807662037037037, 19.928726851851852, 21.28712962962963, 21.656712962962963, 22.043263888888887 ], "time_since_last_event": [ 0.0, 0.025555555555555557, 0.5743055555555555, 1.7784722222222222, 1.9234953703703703, 0.4466435185185185, 1.4722222222222223, 0.12604166666666666, 0.31539351851851855, 0.3002314814814815, 0.3, 0.6298611111111111, 1.2006944444444445, 0.1894212962962963, 0.43592592592592594, 0.8770138888888889, 2.232361111111111, 0.8069444444444445, 0.6916666666666667, 0.20671296296296296, 0.3929398148148148, 0.3728472222222222, 0.24155092592592592, 0.3376851851851852, 0.010069444444444445, 0.5194444444444445, 0.22430555555555556, 0.4620138888888889, 0.664375, 0.3605787037037037, 0.6888888888888889, 1.1210648148148148, 1.3584027777777778, 0.3695833333333333, 0.38655092592592594 ], "type_event": [ 0, 4, 0, 6, 4, 13, 4, 0, 4, 4, 0, 6, 4, 8, 10, 1, 0, 11, 4, 15, 8, 1, 6, 8, 8, 4, 0, 4, 6, 0, 4, 6, 7, 1, 7 ], "type_text": [ "Theft", "Motor Vehicle Theft", "Theft", "Criminal Damage", "Motor Vehicle Theft", "Offense Involving Children", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Theft", "Criminal Damage", "Motor Vehicle Theft", "Other Offense", "Burglary", "Weapons Violation", "Theft", "Robbery", "Motor Vehicle Theft", "Interference With Public Officer", "Other Offense", "Weapons Violation", "Criminal Damage", "Other Offense", "Other Offense", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Criminal Damage", "Theft", "Motor Vehicle Theft", "Criminal Damage", "Battery", "Weapons Violation", "Battery" ], "description": "The sequence of crime incidents shows a pattern where theft and motor vehicle theft are the most frequently reported types, occurring throughout the timeline with notable clustering. Early incidents include theft and motor vehicle theft, followed by a mix of offenses, including criminal damage and other offenses, in the mid-range months. As time progresses, there is a noticeable increase in motor vehicle theft incidents, particularly around the 6 to 18-month mark, while other crimes such as robbery and battery appear later in the sequence. Criminal damage incidents also show a tendency to cluster towards the latter part of the timeline." }, { "dim_process": 20, "seq_idx": 254, "seq_len": 35, "time_since_start": [ 0.0, 4.7037962962962965, 5.5502314814814815, 6.8627314814814815, 7.715509259259259, 8.582592592592592, 8.753472222222221, 9.041898148148148, 10.215347222222222, 11.83287037037037, 12.279398148148148, 12.762546296296296, 13.848842592592593, 14.874537037037037, 15.804398148148149, 16.63662037037037, 17.16872685185185, 17.471064814814813, 17.845439814814814, 18.108912037037037, 18.21013888888889, 18.480787037037036, 19.009953703703705, 19.209722222222222, 19.73009259259259, 19.83949074074074, 20.179421296296297, 20.379814814814814, 20.534953703703703, 20.635300925925925, 20.999421296296298, 21.399560185185184, 21.600671296296298, 21.747453703703705, 23.301296296296297 ], "time_since_last_event": [ 0.0, 4.7037962962962965, 0.8464351851851852, 1.3125, 0.8527777777777777, 0.8670833333333333, 0.17087962962962963, 0.2884259259259259, 1.1734490740740742, 1.6175231481481482, 0.4465277777777778, 0.48314814814814816, 1.0862962962962963, 1.0256944444444445, 0.9298611111111111, 0.8322222222222222, 0.5321064814814814, 0.30233796296296295, 0.374375, 0.2634722222222222, 0.10122685185185185, 0.27064814814814814, 0.5291666666666667, 0.1997685185185185, 0.5203703703703704, 0.10939814814814815, 0.33993055555555557, 0.20039351851851853, 0.15513888888888888, 0.10034722222222223, 0.36412037037037037, 0.4001388888888889, 0.2011111111111111, 0.14678240740740742, 1.5538425925925925 ], "type_event": [ 6, 6, 3, 3, 6, 8, 4, 7, 7, 4, 7, 15, 3, 4, 3, 7, 1, 9, 16, 16, 16, 0, 4, 8, 18, 9, 7, 7, 10, 4, 16, 6, 16, 0, 16 ], "type_text": [ "Criminal Damage", "Criminal Damage", "Deceptive Practice", "Deceptive Practice", "Criminal Damage", "Other Offense", "Motor Vehicle Theft", "Battery", "Battery", "Motor Vehicle Theft", "Battery", "Interference With Public Officer", "Deceptive Practice", "Motor Vehicle Theft", "Deceptive Practice", "Battery", "Weapons Violation", "Assault", "Narcotics", "Narcotics", "Narcotics", "Theft", "Motor Vehicle Theft", "Other Offense", "Public Peace Violation", "Assault", "Battery", "Battery", "Burglary", "Motor Vehicle Theft", "Narcotics", "Criminal Damage", "Narcotics", "Theft", "Narcotics" ], "description": "The sequence of crime incidents shows a pattern where Criminal Damage occurs early on, with multiple incidents clustered within the first year. Deceptive Practices appear shortly after, followed by a rise in Battery incidents. Motor Vehicle Theft incidents are notably frequent, occurring at various intervals throughout the timeline. Towards the end of the sequence, there is a significant increase in Narcotics-related offenses, which cluster in the latter part of the timeline, alongside other offenses such as Assault and Theft. Overall, the data reveals a progression from property crimes to violent and drug-related offenses as time advances." }, { "dim_process": 20, "seq_idx": 255, "seq_len": 31, "time_since_start": [ 0.0, 1.2894675925925927, 1.5876851851851852, 2.182638888888889, 2.2487268518518517, 2.6469675925925924, 3.074537037037037, 3.1550925925925926, 3.551041666666667, 4.909537037037037, 7.220949074074074, 7.740439814814815, 8.360763888888888, 11.1225, 11.19050925925926, 11.394675925925926, 11.522916666666667, 12.820023148148149, 12.856967592592593, 13.053819444444445, 14.355625, 14.584606481481481, 14.5875, 16.02314814814815, 16.324537037037036, 17.624027777777776, 19.889699074074073, 19.955092592592592, 21.296435185185185, 21.65138888888889, 22.936203703703704 ], "time_since_last_event": [ 0.0, 1.2894675925925927, 0.2982175925925926, 0.5949537037037037, 0.06608796296296296, 0.39824074074074073, 0.42756944444444445, 0.08055555555555556, 0.3959490740740741, 1.3584953703703704, 2.3114120370370372, 0.5194907407407408, 0.6203240740740741, 2.761736111111111, 0.06800925925925926, 0.20416666666666666, 0.12824074074074074, 1.2971064814814814, 0.036944444444444446, 0.19685185185185186, 1.3018055555555557, 0.22898148148148148, 0.0028935185185185184, 1.4356481481481482, 0.3013888888888889, 1.2994907407407408, 2.265671296296296, 0.06539351851851852, 1.3413425925925926, 0.3549537037037037, 1.2848148148148149 ], "type_event": [ 10, 6, 4, 7, 11, 0, 7, 3, 7, 5, 7, 6, 6, 7, 5, 3, 6, 9, 6, 8, 4, 7, 0, 7, 7, 8, 5, 0, 10, 0, 10 ], "type_text": [ "Burglary", "Criminal Damage", "Motor Vehicle Theft", "Battery", "Robbery", "Theft", "Battery", "Deceptive Practice", "Battery", "Criminal Trespass", "Battery", "Criminal Damage", "Criminal Damage", "Battery", "Criminal Trespass", "Deceptive Practice", "Criminal Damage", "Assault", "Criminal Damage", "Other Offense", "Motor Vehicle Theft", "Battery", "Theft", "Battery", "Battery", "Other Offense", "Criminal Trespass", "Theft", "Burglary", "Theft", "Burglary" ], "description": "The sequence of crime incidents shows a variety of crime types occurring over time, with a notable clustering of battery incidents occurring in the early months. Burglary events appear at the beginning and towards the end of the timeline, while criminal damage incidents are more frequent in the middle period. Motor vehicle thefts are spaced out, occurring at both the beginning and later in the sequence, while theft incidents are interspersed throughout, with a slight increase towards the end. Overall, there is a pattern of increasing frequency in certain crime types, particularly battery and criminal damage, as the timeline progresses." }, { "dim_process": 20, "seq_idx": 256, "seq_len": 49, "time_since_start": [ 0.0, 0.30310185185185184, 0.5544907407407408, 1.6513194444444443, 2.570462962962963, 3.6544907407407408, 3.9680324074074074, 5.512824074074074, 5.6896759259259255, 5.900324074074074, 6.972546296296296, 7.027638888888889, 7.123935185185185, 8.27636574074074, 8.684699074074073, 9.056574074074074, 9.097546296296295, 9.735046296296296, 10.314907407407407, 10.422592592592592, 10.648935185185184, 11.145810185185185, 11.469074074074074, 12.01837962962963, 12.172546296296296, 13.021157407407408, 13.212824074074074, 13.33898148148148, 13.345810185185185, 13.750324074074074, 15.951018518518518, 16.27810185185185, 16.63574074074074, 16.801712962962963, 17.177175925925926, 17.421157407407406, 17.943935185185186, 18.18226851851852, 18.195231481481482, 18.489212962962963, 20.240601851851853, 20.325324074074075, 20.365601851851853, 21.379490740740742, 21.789560185185184, 22.775324074074074, 23.30449074074074, 23.937824074074076, 24.115949074074074 ], "time_since_last_event": [ 0.0, 0.30310185185185184, 0.2513888888888889, 1.0968287037037037, 0.9191435185185185, 1.0840277777777778, 0.31354166666666666, 1.5447916666666666, 0.17685185185185184, 0.21064814814814814, 1.0722222222222222, 0.055092592592592596, 0.0962962962962963, 1.1524305555555556, 0.4083333333333333, 0.371875, 0.04097222222222222, 0.6375, 0.5798611111111112, 0.10768518518518519, 0.2263425925925926, 0.496875, 0.3232638888888889, 0.5493055555555556, 0.15416666666666667, 0.8486111111111111, 0.19166666666666668, 0.1261574074074074, 0.006828703703703704, 0.4045138888888889, 2.2006944444444443, 0.32708333333333334, 0.3576388888888889, 0.16597222222222222, 0.37546296296296294, 0.2439814814814815, 0.5227777777777778, 0.23833333333333334, 0.012962962962962963, 0.29398148148148145, 1.7513888888888889, 0.08472222222222223, 0.04027777777777778, 1.0138888888888888, 0.41006944444444443, 0.9857638888888889, 0.5291666666666667, 0.6333333333333333, 0.178125 ], "type_event": [ 5, 11, 0, 5, 0, 3, 6, 0, 7, 10, 0, 6, 11, 0, 16, 11, 10, 9, 0, 11, 4, 8, 5, 0, 3, 6, 0, 16, 7, 0, 7, 0, 4, 6, 0, 0, 5, 4, 4, 7, 9, 4, 3, 4, 7, 6, 0, 2, 0 ], "type_text": [ "Criminal Trespass", "Robbery", "Theft", "Criminal Trespass", "Theft", "Deceptive Practice", "Criminal Damage", "Theft", "Battery", "Burglary", "Theft", "Criminal Damage", "Robbery", "Theft", "Narcotics", "Robbery", "Burglary", "Assault", "Theft", "Robbery", "Motor Vehicle Theft", "Other Offense", "Criminal Trespass", "Theft", "Deceptive Practice", "Criminal Damage", "Theft", "Narcotics", "Battery", "Theft", "Battery", "Theft", "Motor Vehicle Theft", "Criminal Damage", "Theft", "Theft", "Criminal Trespass", "Motor Vehicle Theft", "Motor Vehicle Theft", "Battery", "Assault", "Motor Vehicle Theft", "Deceptive Practice", "Motor Vehicle Theft", "Battery", "Criminal Damage", "Theft", "Sex Offense", "Theft" ], "description": "The sequence of crime incidents shows a variety of crime types occurring over time, with certain patterns emerging. Initially, incidents such as Criminal Trespass and Robbery appear within the first few months, followed by a notable increase in Theft incidents around the 5 to 10-month mark. As time progresses, there is a clustering of Motor Vehicle Theft and Criminal Damage events, particularly from the 16-month point onward. Additionally, there are intermittent occurrences of violent crimes, such as Battery and Assault, with some Deceptive Practices appearing later in the timeline. Overall, Theft remains the most frequent crime type throughout the sequence, with its frequency peaking in the latter months." }, { "dim_process": 20, "seq_idx": 257, "seq_len": 91, "time_since_start": [ 0.0, 0.04631944444444445, 0.24715277777777778, 0.33175925925925925, 0.4220833333333333, 0.4469675925925926, 0.5196064814814815, 1.0870833333333334, 1.4302777777777778, 1.7193518518518518, 2.0324537037037036, 2.310925925925926, 2.3116203703703704, 2.4428703703703705, 2.475138888888889, 2.6463425925925925, 2.708148148148148, 2.8630092592592593, 3.4762037037037037, 3.5279629629629627, 4.222037037037037, 4.609953703703703, 4.8566666666666665, 4.933958333333333, 5.659537037037037, 5.660578703703703, 6.056759259259259, 6.431759259259259, 6.528981481481481, 6.831759259259259, 7.2289814814814815, 8.56125, 8.997546296296296, 8.999814814814815, 9.017870370370371, 9.625046296296297, 10.165092592592593, 10.190787037037037, 10.551203703703704, 10.621296296296297, 10.779282407407408, 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"time_since_last_event": [ 0.0, 0.04631944444444445, 0.20083333333333334, 0.08460648148148148, 0.09032407407407407, 0.02488425925925926, 0.07263888888888889, 0.5674768518518518, 0.34319444444444447, 0.2890740740740741, 0.31310185185185185, 0.27847222222222223, 0.0006944444444444445, 0.13125, 0.032268518518518516, 0.1712037037037037, 0.06180555555555556, 0.15486111111111112, 0.6131944444444445, 0.05175925925925926, 0.6940740740740741, 0.3879166666666667, 0.24671296296296297, 0.07729166666666666, 0.7255787037037037, 0.0010416666666666667, 0.39618055555555554, 0.375, 0.09722222222222222, 0.30277777777777776, 0.3972222222222222, 1.3322685185185186, 0.4362962962962963, 0.0022685185185185187, 0.018055555555555554, 0.607175925925926, 0.5400462962962963, 0.025694444444444443, 0.36041666666666666, 0.0700925925925926, 0.1579861111111111, 0.8510185185185185, 0.25354166666666667, 0.029861111111111113, 0.014351851851851852, 0.4356481481481482, 0.0125, 0.1638888888888889, 0.256875, 0.655625, 0.02638888888888889, 0.014837962962962963, 0.04488425925925926, 0.6196759259259259, 0.3022685185185185, 0.08930555555555555, 0.008888888888888889, 0.02298611111111111, 0.169375, 0.09513888888888888, 0.7048611111111112, 0.3300925925925926, 0.1962962962962963, 0.075, 0.22291666666666668, 0.18587962962962962, 0.3356712962962963, 0.6499768518518518, 0.4795601851851852, 0.3329398148148148, 0.005555555555555556, 2.3148148148148147e-05, 0.016666666666666666, 0.09921296296296296, 0.13409722222222223, 0.1375, 0.0763888888888889, 0.038657407407407404, 0.8155092592592592, 0.015046296296296295, 0.5799537037037037, 0.5508333333333333, 0.1017824074074074, 0.5234953703703704, 0.04414351851851852, 0.05002314814814815, 0.049305555555555554, 0.08402777777777778, 0.18388888888888888, 0.09759259259259259, 1.487962962962963 ], "type_event": [ 0, 8, 7, 10, 7, 8, 7, 7, 0, 8, 7, 7, 0, 8, 8, 6, 8, 4, 6, 7, 0, 6, 7, 1, 0, 4, 4, 4, 4, 10, 4, 6, 0, 7, 9, 8, 3, 4, 10, 11, 8, 9, 7, 6, 7, 0, 3, 6, 6, 0, 8, 6, 7, 7, 9, 3, 10, 0, 7, 0, 10, 4, 3, 3, 0, 7, 6, 7, 9, 5, 4, 4, 0, 0, 6, 0, 0, 9, 6, 6, 7, 11, 11, 0, 7, 0, 6, 0, 11, 6, 0 ], "type_text": [ "Theft", "Other Offense", "Battery", "Burglary", "Battery", "Other Offense", "Battery", "Battery", "Theft", "Other Offense", "Battery", "Battery", "Theft", "Other Offense", "Other Offense", "Criminal Damage", "Other Offense", "Motor Vehicle Theft", "Criminal Damage", "Battery", "Theft", "Criminal Damage", "Battery", "Weapons Violation", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Burglary", "Motor Vehicle Theft", "Criminal Damage", "Theft", "Battery", "Assault", "Other Offense", "Deceptive Practice", "Motor Vehicle Theft", "Burglary", "Robbery", "Other Offense", "Assault", "Battery", "Criminal Damage", "Battery", "Theft", "Deceptive Practice", "Criminal Damage", "Criminal Damage", "Theft", "Other Offense", "Criminal Damage", "Battery", "Battery", "Assault", "Deceptive Practice", "Burglary", "Theft", "Battery", "Theft", "Burglary", "Motor Vehicle Theft", "Deceptive Practice", "Deceptive Practice", "Theft", "Battery", "Criminal Damage", "Battery", "Assault", "Criminal Trespass", "Motor Vehicle Theft", "Motor Vehicle Theft", "Theft", "Theft", "Criminal Damage", "Theft", "Theft", "Assault", "Criminal Damage", "Criminal Damage", "Battery", "Robbery", "Robbery", "Theft", "Battery", "Theft", "Criminal Damage", "Theft", "Robbery", "Criminal Damage", "Theft" ], "description": "The sequence of crime incidents shows a pattern where certain types of offenses, particularly Battery and Theft, occur frequently throughout the timeline, with Battery incidents appearing consistently at various intervals. Other Offenses and Criminal Damage are also prevalent, often clustering together in specific periods. Motor Vehicle Theft appears prominently in the later months, indicating a potential increase in this type of crime over time. Additionally, there are notable occurrences of Robbery and Deceptive Practices towards the end of the sequence, suggesting a diversification of crime types as time progresses. Overall, the data reflects a mix of recurring offenses and a gradual evolution of crime types over the observed period." }, { "dim_process": 20, "seq_idx": 258, "seq_len": 31, "time_since_start": [ 0.0, 0.31407407407407406, 1.4675694444444445, 3.287916666666667, 3.4654629629629627, 3.5196296296296294, 5.651481481481482, 6.650185185185185, 7.23212962962963, 8.85226851851852, 9.649907407407408, 10.983055555555556, 11.83212962962963, 11.97726851851852, 12.248310185185185, 13.184907407407408, 13.38699074074074, 13.555046296296297, 14.014074074074074, 17.449837962962963, 17.511990740740742, 18.44439814814815, 18.777962962962963, 19.684907407407408, 21.12162037037037, 21.359328703703703, 22.101574074074072, 22.101990740740742, 22.483078703703704, 22.489305555555557, 22.48988425925926 ], "time_since_last_event": [ 0.0, 0.31407407407407406, 1.1534953703703703, 1.8203472222222221, 0.17754629629629629, 0.05416666666666667, 2.131851851851852, 0.9987037037037036, 0.5819444444444445, 1.6201388888888888, 0.7976388888888889, 1.3331481481481482, 0.8490740740740741, 0.1451388888888889, 0.2710416666666667, 0.9365972222222222, 0.20208333333333334, 0.16805555555555557, 0.45902777777777776, 3.435763888888889, 0.06215277777777778, 0.9324074074074075, 0.3335648148148148, 0.9069444444444444, 1.436712962962963, 0.23770833333333333, 0.7422453703703704, 0.0004166666666666667, 0.381087962962963, 0.0062268518518518515, 0.0005787037037037037 ], "type_event": [ 7, 3, 15, 0, 7, 0, 9, 8, 5, 3, 11, 7, 6, 8, 0, 9, 9, 8, 5, 11, 0, 0, 0, 0, 7, 7, 0, 7, 9, 6, 7 ], "type_text": [ "Battery", "Deceptive Practice", "Interference With Public Officer", "Theft", "Battery", "Theft", "Assault", "Other Offense", "Criminal Trespass", "Deceptive Practice", "Robbery", "Battery", "Criminal Damage", "Other Offense", "Theft", "Assault", "Assault", "Other Offense", "Criminal Trespass", "Robbery", "Theft", "Theft", "Theft", "Theft", "Battery", "Battery", "Theft", "Battery", "Assault", "Criminal Damage", "Battery" ], "description": "The sequence of crime incidents begins with a battery and a deceptive practice occurring within the first month, followed by a mix of offenses including theft and assault that emerge in the subsequent months. Notably, there is a clustering of battery incidents around the 21-month mark, alongside a significant increase in theft incidents that peak between 17 and 19 months. The sequence also shows a pattern of repeated offenses, particularly theft and battery, occurring in close succession towards the latter part of the timeline. Overall, the events exhibit a progression from a variety of crime types early on to a concentration of specific offenses as time advances." }, { "dim_process": 20, "seq_idx": 259, "seq_len": 31, "time_since_start": [ 0.0, 0.5224537037037037, 2.123611111111111, 3.0520833333333335, 4.073379629629629, 7.027777777777778, 7.739583333333333, 7.764583333333333, 7.9631944444444445, 8.187152777777778, 8.203495370370371, 8.749305555555555, 9.972800925925926, 10.153472222222222, 10.545833333333333, 15.323055555555555, 15.769444444444444, 17.40138888888889, 18.020138888888887, 18.711805555555557, 19.08888888888889, 19.353472222222223, 19.69363425925926, 20.22800925925926, 20.957361111111112, 21.02986111111111, 21.28125, 22.802083333333332, 23.510416666666668, 23.78263888888889, 24.10798611111111 ], "time_since_last_event": [ 0.0, 0.5224537037037037, 1.6011574074074073, 0.9284722222222223, 1.0212962962962964, 2.9543981481481483, 0.7118055555555556, 0.025, 0.1986111111111111, 0.22395833333333334, 0.016342592592592593, 0.5458101851851852, 1.2234953703703704, 0.1806712962962963, 0.3923611111111111, 4.777222222222222, 0.4463888888888889, 1.6319444444444444, 0.61875, 0.6916666666666667, 0.3770833333333333, 0.26458333333333334, 0.340162037037037, 0.534375, 0.7293518518518518, 0.0725, 0.2513888888888889, 1.5208333333333333, 0.7083333333333334, 0.2722222222222222, 0.32534722222222223 ], "type_event": [ 6, 7, 3, 3, 3, 6, 7, 6, 0, 0, 3, 0, 6, 3, 0, 13, 9, 7, 3, 4, 3, 3, 6, 7, 3, 0, 0, 9, 13, 0, 4 ], "type_text": [ "Criminal Damage", "Battery", "Deceptive Practice", "Deceptive Practice", "Deceptive Practice", "Criminal Damage", "Battery", "Criminal Damage", "Theft", "Theft", "Deceptive Practice", "Theft", "Criminal Damage", "Deceptive Practice", "Theft", "Offense Involving Children", "Assault", "Battery", "Deceptive Practice", "Motor Vehicle Theft", "Deceptive Practice", "Deceptive Practice", "Criminal Damage", "Battery", "Deceptive Practice", "Theft", "Theft", "Assault", "Offense Involving Children", "Theft", "Motor Vehicle Theft" ], "description": "The sequence of crime incidents shows a variety of crime types reported over a span of time, with certain types occurring more frequently in clusters. Initially, incidents of Criminal Damage and Battery appear early in the timeline, followed by a notable increase in Deceptive Practices around the 2 to 10-month mark. Theft incidents begin to emerge prominently after the 7-month point, with a peak in occurrences between 18 and 24 months. Additionally, Offenses Involving Children and Assaults are reported later in the timeline, suggesting a trend of escalating crime types as time progresses. Overall, Deceptive Practices and Theft are the most frequent crime types, while Criminal Damage and Battery appear more sporadically." }, { "dim_process": 20, "seq_idx": 260, "seq_len": 41, "time_since_start": [ 0.0, 0.0006944444444444445, 0.4232638888888889, 1.4146527777777778, 2.057523148148148, 2.176388888888889, 3.2375, 3.31875, 5.192361111111111, 5.891319444444444, 7.06875, 7.465740740740741, 10.617916666666666, 11.258333333333333, 11.920300925925925, 12.197569444444444, 13.125949074074073, 13.294212962962963, 14.002777777777778, 14.256944444444445, 14.325, 14.990972222222222, 15.220833333333333, 15.430625, 15.497453703703703, 15.637731481481481, 15.63775462962963, 16.687546296296297, 16.99386574074074, 17.101388888888888, 17.270833333333332, 17.496064814814815, 17.86898148148148, 17.89548611111111, 18.468055555555555, 18.636805555555554, 19.184722222222224, 19.765810185185185, 20.460416666666667, 21.008333333333333, 21.14097222222222 ], "time_since_last_event": [ 0.0, 0.0006944444444444445, 0.42256944444444444, 0.9913888888888889, 0.6428703703703704, 0.11886574074074074, 1.0611111111111111, 0.08125, 1.8736111111111111, 0.6989583333333333, 1.1774305555555555, 0.39699074074074076, 3.152175925925926, 0.6404166666666666, 0.6619675925925926, 0.2772685185185185, 0.9283796296296296, 0.16826388888888888, 0.7085648148148148, 0.25416666666666665, 0.06805555555555555, 0.6659722222222222, 0.2298611111111111, 0.20979166666666665, 0.06682870370370371, 0.14027777777777778, 2.3148148148148147e-05, 1.0497916666666667, 0.3063194444444444, 0.10752314814814815, 0.16944444444444445, 0.22523148148148148, 0.3729166666666667, 0.026504629629629628, 0.5725694444444445, 0.16875, 0.5479166666666667, 0.581087962962963, 0.6946064814814815, 0.5479166666666667, 0.1326388888888889 ], "type_event": [ 6, 7, 9, 1, 18, 8, 7, 9, 9, 0, 1, 7, 8, 0, 9, 7, 1, 6, 0, 8, 8, 0, 9, 0, 7, 6, 7, 10, 8, 7, 8, 9, 7, 7, 7, 0, 9, 6, 9, 7, 11 ], "type_text": [ "Criminal Damage", "Battery", "Assault", "Weapons Violation", "Public Peace Violation", "Other Offense", "Battery", "Assault", "Assault", "Theft", "Weapons Violation", "Battery", "Other Offense", "Theft", "Assault", "Battery", "Weapons Violation", "Criminal Damage", "Theft", "Other Offense", "Other Offense", "Theft", "Assault", "Theft", "Battery", "Criminal Damage", "Battery", "Burglary", "Other Offense", "Battery", "Other Offense", "Assault", "Battery", "Battery", "Battery", "Theft", "Assault", "Criminal Damage", "Assault", "Battery", "Robbery" ], "description": "The sequence of crime incidents shows a diverse range of offenses occurring over time, with certain types of crimes appearing more frequently in specific periods. Initially, incidents of Criminal Damage and Battery are reported, followed by a rise in Assaults and Weapons Violations in the early months. As time progresses, there is a noticeable clustering of Battery and Assault incidents, particularly in the later months, alongside a steady occurrence of Theft and Other Offenses. The sequence culminates with a Robbery incident, highlighting a gradual increase in the variety of crime types as time advances." }, { "dim_process": 20, "seq_idx": 261, "seq_len": 71, "time_since_start": [ 0.0, 0.01425925925925926, 0.018958333333333334, 0.03145833333333333, 0.043958333333333335, 0.14916666666666667, 0.15229166666666666, 0.17868055555555556, 0.6179166666666667, 0.8765277777777778, 1.3071527777777778, 1.5783333333333334, 1.6163194444444444, 2.3161805555555555, 2.316875, 2.549166666666667, 2.6131712962962963, 2.6536805555555554, 3.125763888888889, 3.1622453703703703, 3.346388888888889, 3.863402777777778, 4.5245138888888885, 5.075902777777777, 5.123125, 5.230069444444444, 5.841064814814815, 5.9125, 6.166851851851852, 6.185509259259259, 7.100902777777778, 7.157847222222222, 7.184236111111111, 7.286203703703704, 7.335416666666666, 7.613402777777778, 8.035972222222222, 8.310625, 8.733171296296296, 9.462708333333333, 9.753680555555556, 10.09675925925926, 10.212708333333333, 10.597800925925926, 10.715486111111112, 10.980069444444444, 11.108541666666667, 12.694074074074074, 14.689444444444444, 15.013819444444444, 15.12599537037037, 15.346736111111111, 16.57173611111111, 17.858541666666667, 18.163402777777776, 18.180069444444445, 19.41722222222222, 19.918958333333332, 19.922291666666666, 19.92798611111111, 20.36201388888889, 20.541180555555556, 21.096759259259258, 21.098819444444445, 21.564444444444444, 21.69673611111111, 22.84349537037037, 23.30645833333333, 23.716875, 23.752962962962965, 23.762013888888887 ], "time_since_last_event": [ 0.0, 0.01425925925925926, 0.004699074074074074, 0.0125, 0.0125, 0.10520833333333333, 0.003125, 0.02638888888888889, 0.4392361111111111, 0.2586111111111111, 0.430625, 0.27118055555555554, 0.03798611111111111, 0.6998611111111112, 0.0006944444444444445, 0.23229166666666667, 0.06400462962962963, 0.04050925925925926, 0.47208333333333335, 0.03648148148148148, 0.1841435185185185, 0.5170138888888889, 0.6611111111111111, 0.5513888888888889, 0.04722222222222222, 0.10694444444444444, 0.6109953703703703, 0.07143518518518518, 0.25435185185185183, 0.018657407407407407, 0.9153935185185185, 0.05694444444444444, 0.02638888888888889, 0.1019675925925926, 0.049212962962962965, 0.2779861111111111, 0.42256944444444444, 0.2746527777777778, 0.4225462962962963, 0.729537037037037, 0.29097222222222224, 0.3430787037037037, 0.11594907407407408, 0.3850925925925926, 0.11768518518518518, 0.26458333333333334, 0.1284722222222222, 1.5855324074074073, 1.9953703703703705, 0.324375, 0.11217592592592593, 0.22074074074074074, 1.225, 1.2868055555555555, 0.30486111111111114, 0.016666666666666666, 1.2371527777777778, 0.5017361111111112, 0.0033333333333333335, 0.005694444444444445, 0.4340277777777778, 0.17916666666666667, 0.5555787037037037, 0.0020601851851851853, 0.465625, 0.13229166666666667, 1.1467592592592593, 0.46296296296296297, 0.41041666666666665, 0.03608796296296296, 0.009050925925925926 ], "type_event": [ 8, 7, 9, 8, 10, 9, 9, 9, 7, 7, 9, 7, 7, 9, 3, 9, 9, 7, 6, 4, 8, 3, 4, 3, 0, 10, 7, 3, 7, 6, 4, 0, 9, 9, 7, 3, 6, 10, 3, 6, 0, 3, 3, 7, 0, 10, 0, 7, 0, 3, 8, 0, 18, 4, 3, 3, 5, 0, 11, 4, 4, 4, 0, 7, 0, 3, 3, 6, 4, 3, 9 ], "type_text": [ "Other Offense", "Battery", "Assault", "Other Offense", "Burglary", "Assault", "Assault", "Assault", "Battery", "Battery", "Assault", "Battery", "Battery", "Assault", "Deceptive Practice", "Assault", "Assault", "Battery", "Criminal Damage", "Motor Vehicle Theft", "Other Offense", "Deceptive Practice", "Motor Vehicle Theft", "Deceptive Practice", "Theft", "Burglary", "Battery", "Deceptive Practice", "Battery", "Criminal Damage", "Motor Vehicle Theft", "Theft", "Assault", "Assault", "Battery", "Deceptive Practice", "Criminal Damage", "Burglary", "Deceptive Practice", "Criminal Damage", "Theft", "Deceptive Practice", "Deceptive Practice", "Battery", "Theft", "Burglary", "Theft", "Battery", "Theft", "Deceptive Practice", "Other Offense", "Theft", "Public Peace Violation", "Motor Vehicle Theft", "Deceptive Practice", "Deceptive Practice", "Criminal Trespass", "Theft", "Robbery", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Theft", "Battery", "Theft", "Deceptive Practice", "Deceptive Practice", "Criminal Damage", "Motor Vehicle Theft", "Deceptive Practice", "Assault" ], "description": "The sequence of crime incidents shows a variety of offenses reported over time, with certain types of crimes occurring more frequently in specific periods. Initially, there is a cluster of assaults and batteries within the first few months, followed by a gradual increase in deceptive practices and thefts as time progresses. Motor vehicle thefts appear intermittently throughout the timeline, with a noticeable rise in frequency after the first year. Criminal damage incidents also emerge later in the sequence, indicating a shift in the types of offenses reported as time advances. Overall, the data reveals a trend of increasing complexity in the types of crimes over the observed period." }, { "dim_process": 20, "seq_idx": 262, "seq_len": 60, "time_since_start": [ 0.0, 2.1810185185185187, 3.160185185185185, 3.4342592592592593, 4.165046296296296, 5.614351851851852, 5.667129629629629, 5.91574074074074, 5.932407407407408, 5.943518518518519, 5.960069444444445, 6.637569444444445, 6.786574074074074, 7.347708333333333, 7.563310185185185, 7.565740740740741, 7.7310185185185185, 7.839351851851852, 8.052662037037036, 9.013217592592593, 9.088310185185184, 9.39050925925926, 9.983101851851853, 10.040740740740741, 10.041435185185184, 10.330277777777777, 10.81087962962963, 11.538194444444445, 11.549074074074074, 11.731712962962963, 12.369560185185184, 12.476851851851851, 12.518518518518519, 12.81349537037037, 13.045601851851853, 13.149421296296296, 13.740717592592592, 13.940740740740742, 14.344212962962963, 14.914351851851851, 15.541782407407407, 15.549074074074074, 15.924074074074074, 15.974768518518518, 16.043518518518518, 16.40601851851852, 16.432407407407407, 16.440046296296295, 16.497685185185187, 16.640439814814815, 16.839351851851852, 17.05212962962963, 17.074768518518518, 17.26712962962963, 17.296689814814815, 18.046296296296298, 18.058333333333334, 18.18912037037037, 18.831712962962964, 19.125462962962963 ], "time_since_last_event": [ 0.0, 2.1810185185185187, 0.9791666666666666, 0.2740740740740741, 0.7307870370370371, 1.4493055555555556, 0.05277777777777778, 0.24861111111111112, 0.016666666666666666, 0.011111111111111112, 0.016550925925925927, 0.6775, 0.14900462962962963, 0.5611342592592593, 0.21560185185185185, 0.0024305555555555556, 0.16527777777777777, 0.10833333333333334, 0.21331018518518519, 0.9605555555555556, 0.07509259259259259, 0.3021990740740741, 0.5925925925925926, 0.05763888888888889, 0.0006944444444444445, 0.2888425925925926, 0.48060185185185184, 0.7273148148148149, 0.01087962962962963, 0.18263888888888888, 0.6378472222222222, 0.10729166666666666, 0.041666666666666664, 0.29497685185185185, 0.23210648148148147, 0.10381944444444445, 0.5912962962962963, 0.20002314814814814, 0.40347222222222223, 0.5701388888888889, 0.6274305555555556, 0.007291666666666667, 0.375, 0.050694444444444445, 0.06875, 0.3625, 0.02638888888888889, 0.007638888888888889, 0.05763888888888889, 0.14275462962962962, 0.19891203703703703, 0.2127777777777778, 0.02263888888888889, 0.19236111111111112, 0.029560185185185186, 0.7496064814814815, 0.012037037037037037, 0.13078703703703703, 0.6425925925925926, 0.29375 ], "type_event": [ 0, 9, 3, 8, 0, 10, 4, 6, 8, 0, 0, 7, 0, 0, 0, 4, 5, 6, 6, 6, 6, 6, 7, 11, 11, 8, 6, 4, 0, 7, 3, 6, 0, 6, 0, 0, 7, 4, 0, 0, 6, 0, 6, 6, 0, 6, 0, 0, 8, 6, 4, 0, 6, 3, 8, 7, 0, 4, 0, 5 ], "type_text": [ "Theft", "Assault", "Deceptive Practice", "Other Offense", "Theft", "Burglary", "Motor Vehicle Theft", "Criminal Damage", "Other Offense", "Theft", "Theft", "Battery", "Theft", "Theft", "Theft", "Motor Vehicle Theft", "Criminal Trespass", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Battery", "Robbery", "Robbery", "Other Offense", "Criminal Damage", "Motor Vehicle Theft", "Theft", "Battery", "Deceptive Practice", "Criminal Damage", "Theft", "Criminal Damage", "Theft", "Theft", "Battery", "Motor Vehicle Theft", "Theft", "Theft", "Criminal Damage", "Theft", "Criminal Damage", "Criminal Damage", "Theft", "Criminal Damage", "Theft", "Theft", "Other Offense", "Criminal Damage", "Motor Vehicle Theft", "Theft", "Criminal Damage", "Deceptive Practice", "Other Offense", "Battery", "Theft", "Motor Vehicle Theft", "Theft", "Criminal Trespass" ], "description": "The sequence of crime incidents shows a variety of crime types occurring over time, with notable clustering of specific events. Initially, theft and assault are reported early in the timeline, followed by a mix of offenses such as deceptive practices and other offenses. A significant increase in theft incidents is observed around the 5 to 10-month mark, with multiple thefts occurring in close succession. Criminal damage incidents begin to cluster around the 8 to 15-month period, while motor vehicle thefts appear intermittently throughout the sequence. Battery and robbery incidents also emerge later in the timeline, indicating a diverse range of crime types that evolve over the observed period." }, { "dim_process": 20, "seq_idx": 263, "seq_len": 41, "time_since_start": [ 0.0, 0.5246759259259259, 0.5246759259259259, 0.5248379629629629, 0.6996527777777778, 0.7505787037037037, 0.9447916666666667, 1.3877546296296297, 1.3885416666666666, 1.6899305555555555, 1.9552314814814815, 2.0079861111111112, 4.026041666666667, 4.189930555555556, 5.161134259259259, 5.550023148148148, 8.610763888888888, 9.081597222222221, 9.081944444444444, 9.305208333333333, 11.389236111111112, 12.72962962962963, 12.845532407407408, 14.902430555555556, 14.919791666666667, 14.920092592592592, 15.373495370370371, 15.373495370370371, 15.707777777777778, 16.198356481481483, 17.896180555555556, 18.178055555555556, 20.408333333333335, 20.883680555555557, 20.985416666666666, 21.384722222222223, 21.51678240740741, 21.850347222222222, 22.22048611111111, 23.074675925925927, 23.10375 ], "time_since_last_event": [ 0.0, 0.5246759259259259, 0.0, 0.00016203703703703703, 0.1748148148148148, 0.05092592592592592, 0.19421296296296298, 0.44296296296296295, 0.000787037037037037, 0.3013888888888889, 0.2653009259259259, 0.05275462962962963, 2.0180555555555557, 0.1638888888888889, 0.9712037037037037, 0.3888888888888889, 3.0607407407407408, 0.4708333333333333, 0.00034722222222222224, 0.2232638888888889, 2.0840277777777776, 1.3403935185185185, 0.11590277777777777, 2.0568981481481483, 0.017361111111111112, 0.00030092592592592595, 0.45340277777777777, 0.0, 0.3342824074074074, 0.4905787037037037, 1.697824074074074, 0.281875, 2.230277777777778, 0.4753472222222222, 0.10173611111111111, 0.3993055555555556, 0.1320601851851852, 0.3335648148148148, 0.3701388888888889, 0.8541898148148148, 0.029074074074074075 ], "type_event": [ 7, 13, 2, 7, 0, 7, 4, 7, 8, 6, 16, 8, 9, 7, 7, 9, 7, 7, 14, 0, 9, 6, 8, 0, 7, 8, 8, 9, 13, 11, 6, 6, 4, 4, 9, 11, 8, 6, 3, 7, 8 ], "type_text": [ "Battery", "Offense Involving Children", "Sex Offense", "Battery", "Theft", "Battery", "Motor Vehicle Theft", "Battery", "Other Offense", "Criminal Damage", "Narcotics", "Other Offense", "Assault", "Battery", "Battery", "Assault", "Battery", "Battery", "Criminal Sexual Assault", "Theft", "Assault", "Criminal Damage", "Other Offense", "Theft", "Battery", "Other Offense", "Other Offense", "Assault", "Offense Involving Children", "Robbery", "Criminal Damage", "Criminal Damage", "Motor Vehicle Theft", "Motor Vehicle Theft", "Assault", "Robbery", "Other Offense", "Criminal Damage", "Deceptive Practice", "Battery", "Other Offense" ], "description": "The sequence of crime incidents in the specified block shows a notable clustering of battery offenses, which occur frequently in the early months and continue intermittently throughout the timeline. Other offenses, including theft and assault, also appear multiple times, with theft incidents concentrated in the later months. Additionally, there is a gradual increase in the variety of crime types over time, with a shift towards more diverse offenses such as robbery and deceptive practices occurring in the latter part of the timeline. Overall, the data reflects a pattern of increasing complexity and frequency of incidents as time progresses." }, { "dim_process": 20, "seq_idx": 264, "seq_len": 40, "time_since_start": [ 0.0, 1.9702083333333333, 2.348912037037037, 3.696134259259259, 4.187546296296296, 4.289166666666667, 4.6428009259259255, 4.894421296296296, 5.323217592592592, 5.38224537037037, 5.835717592592593, 5.876689814814815, 5.877731481481481, 6.156319444444445, 6.675115740740741, 7.062800925925926, 7.226226851851852, 7.690578703703704, 8.709259259259259, 8.72599537037037, 9.622523148148149, 12.45238425925926, 12.916967592592593, 13.253657407407408, 14.158634259259259, 15.128240740740742, 15.380856481481482, 15.631041666666667, 17.178101851851853, 17.827384259259258, 17.894050925925924, 17.905856481481482, 18.29196759259259, 18.679189814814816, 20.31766203703704, 21.027407407407406, 21.28710648148148, 21.379143518518518, 22.754467592592594, 22.792152777777776 ], "time_since_last_event": [ 0.0, 1.9702083333333333, 0.3787037037037037, 1.3472222222222223, 0.49141203703703706, 0.10162037037037037, 0.35363425925925923, 0.2516203703703704, 0.4287962962962963, 0.059027777777777776, 0.4534722222222222, 0.04097222222222222, 0.0010416666666666667, 0.27858796296296295, 0.5187962962962963, 0.3876851851851852, 0.16342592592592592, 0.46435185185185185, 1.0186805555555556, 0.01673611111111111, 0.8965277777777778, 2.829861111111111, 0.46458333333333335, 0.3366898148148148, 0.9049768518518518, 0.9696064814814814, 0.2526157407407407, 0.2501851851851852, 1.5470601851851853, 0.6492824074074074, 0.06666666666666667, 0.011805555555555555, 0.3861111111111111, 0.38722222222222225, 1.6384722222222223, 0.7097453703703703, 0.25969907407407405, 0.09203703703703704, 1.375324074074074, 0.03768518518518518 ], "type_event": [ 8, 6, 4, 7, 1, 1, 8, 9, 9, 0, 0, 7, 16, 11, 4, 6, 9, 10, 1, 7, 7, 6, 4, 7, 4, 7, 4, 19, 1, 10, 7, 0, 0, 0, 7, 7, 4, 7, 9, 7 ], "type_text": [ "Other Offense", "Criminal Damage", "Motor Vehicle Theft", "Battery", "Weapons Violation", "Weapons Violation", "Other Offense", "Assault", "Assault", "Theft", "Theft", "Battery", "Narcotics", "Robbery", "Motor Vehicle Theft", "Criminal Damage", "Assault", "Burglary", "Weapons Violation", "Battery", "Battery", "Criminal Damage", "Motor Vehicle Theft", "Battery", "Motor Vehicle Theft", "Battery", "Motor Vehicle Theft", "Homicide", "Weapons Violation", "Burglary", "Battery", "Theft", "Theft", "Theft", "Battery", "Battery", "Motor Vehicle Theft", "Battery", "Assault", "Battery" ], "description": "The sequence of crime incidents shows a progression of various crime types over time, with notable clusters of specific offenses. Initially, there are a few distinct offenses, including \"Other Offense\" and \"Criminal Damage,\" occurring within the first few months. As time advances, there is an increase in violent crimes such as \"Battery\" and \"Assault,\" which frequently appear in clusters around the 5 to 10-month mark. Motor vehicle theft incidents are also prominent, occurring at multiple points throughout the sequence, particularly in the later months. Weapons violations and burglaries appear intermittently, with a significant rise in battery incidents towards the end of the timeline. Overall, the sequence indicates a mix of property crimes and violent offenses, with certain types recurring more frequently in specific periods." }, { "dim_process": 20, "seq_idx": 265, "seq_len": 84, "time_since_start": [ 0.0, 0.7418287037037037, 0.8168287037037038, 0.8734259259259259, 0.9737731481481482, 1.2936805555555555, 1.5661342592592593, 1.6084953703703704, 2.1279398148148148, 3.1571064814814815, 3.3652546296296295, 3.7977314814814815, 3.9342361111111113, 4.230625, 4.492361111111111, 5.063356481481481, 5.09599537037037, 5.79599537037037, 6.164467592592593, 6.180023148148148, 6.5252083333333335, 7.255902777777778, 7.762662037037037, 7.876134259259259, 8.477939814814814, 9.073425925925926, 9.25849537037037, 9.34912037037037, 9.524768518518519, 9.619143518518518, 9.68113425925926, 9.687129629629629, 9.780694444444444, 9.843796296296297, 9.99738425925926, 10.030694444444444, 10.320509259259259, 10.60962962962963, 10.79076388888889, 10.915717592592593, 11.005717592592593, 11.287662037037038, 11.298356481481482, 11.951550925925925, 11.981412037037037, 12.677939814814815, 12.737662037037037, 12.826550925925925, 13.123425925925925, 13.575717592592593, 14.046388888888888, 14.642407407407408, 14.90048611111111, 15.113101851851852, 15.466828703703703, 15.933958333333333, 16.08962962962963, 16.25027777777778, 17.000162037037036, 17.026782407407406, 17.09173611111111, 18.62886574074074, 19.026412037037037, 19.115439814814813, 19.180717592592593, 19.360578703703705, 19.55201388888889, 19.898541666666667, 20.180717592592593, 20.227708333333332, 20.529351851851853, 21.18627314814815, 21.348078703703703, 21.392523148148147, 21.79599537037037, 21.895995370370372, 22.243217592592593, 22.42189814814815, 23.147662037037037, 23.15539351851852, 23.489745370370372, 23.68627314814815, 23.714050925925925, 23.762685185185184 ], "time_since_last_event": [ 0.0, 0.7418287037037037, 0.075, 0.05659722222222222, 0.10034722222222223, 0.3199074074074074, 0.2724537037037037, 0.04236111111111111, 0.5194444444444445, 1.0291666666666666, 0.20814814814814814, 0.43247685185185186, 0.13650462962962964, 0.29638888888888887, 0.2617361111111111, 0.5709953703703704, 0.03263888888888889, 0.7, 0.3684722222222222, 0.015555555555555555, 0.3451851851851852, 0.7306944444444444, 0.5067592592592592, 0.11347222222222222, 0.6018055555555556, 0.5954861111111112, 0.18506944444444445, 0.090625, 0.17564814814814814, 0.094375, 0.06199074074074074, 0.0059953703703703705, 0.09356481481481481, 0.06310185185185185, 0.15358796296296295, 0.033310185185185186, 0.2898148148148148, 0.28912037037037036, 0.18113425925925927, 0.1249537037037037, 0.09, 0.28194444444444444, 0.010694444444444444, 0.6531944444444444, 0.029861111111111113, 0.6965277777777777, 0.059722222222222225, 0.08888888888888889, 0.296875, 0.45229166666666665, 0.4706712962962963, 0.5960185185185185, 0.2580787037037037, 0.21261574074074074, 0.3537268518518519, 0.4671296296296296, 0.1556712962962963, 0.16064814814814815, 0.7498842592592593, 0.02662037037037037, 0.06495370370370371, 1.5371296296296297, 0.3975462962962963, 0.08902777777777778, 0.06527777777777778, 0.1798611111111111, 0.19143518518518518, 0.34652777777777777, 0.28217592592592594, 0.04699074074074074, 0.3016435185185185, 0.6569212962962963, 0.16180555555555556, 0.044444444444444446, 0.40347222222222223, 0.1, 0.3472222222222222, 0.17868055555555556, 0.7257638888888889, 0.0077314814814814815, 0.33435185185185184, 0.19652777777777777, 0.027777777777777776, 0.04863425925925926 ], "type_event": [ 5, 0, 13, 16, 0, 0, 6, 8, 16, 0, 16, 6, 15, 8, 8, 7, 0, 13, 9, 8, 15, 8, 8, 0, 7, 0, 7, 15, 8, 9, 9, 8, 9, 8, 6, 8, 4, 8, 6, 8, 6, 16, 8, 9, 16, 7, 8, 0, 7, 15, 5, 5, 18, 8, 6, 6, 15, 16, 11, 8, 9, 7, 7, 13, 6, 0, 6, 8, 17, 16, 3, 9, 7, 6, 7, 7, 8, 7, 6, 15, 0, 8, 3, 6 ], "type_text": [ "Criminal Trespass", "Theft", "Offense Involving Children", "Narcotics", "Theft", "Theft", "Criminal Damage", "Other Offense", "Narcotics", "Theft", "Narcotics", "Criminal Damage", "Interference With Public Officer", "Other Offense", "Other Offense", "Battery", "Theft", "Offense Involving Children", "Assault", "Other Offense", "Interference With Public Officer", "Other Offense", "Other Offense", "Theft", "Battery", "Theft", "Battery", "Interference With Public Officer", "Other Offense", "Assault", "Assault", "Other Offense", "Assault", "Other Offense", "Criminal Damage", "Other Offense", "Motor Vehicle Theft", "Other Offense", "Criminal Damage", "Other Offense", "Criminal Damage", "Narcotics", "Other Offense", "Assault", "Narcotics", "Battery", "Other Offense", "Theft", "Battery", "Interference With Public Officer", "Criminal Trespass", "Criminal Trespass", "Public Peace Violation", "Other Offense", "Criminal Damage", "Criminal Damage", "Interference With Public Officer", "Narcotics", "Robbery", "Other Offense", "Assault", "Battery", "Battery", "Offense Involving Children", "Criminal Damage", "Theft", "Criminal Damage", "Other Offense", "Stalking", "Narcotics", "Deceptive Practice", "Assault", "Battery", "Criminal Damage", "Battery", "Battery", "Other Offense", "Battery", "Criminal Damage", "Interference With Public Officer", "Theft", "Other Offense", "Deceptive Practice", "Criminal Damage" ], "description": "The sequence of crime incidents shows a varied pattern over time, with certain types of offenses occurring more frequently at different intervals. Initially, theft and narcotics offenses appear prominently in the early months, followed by a rise in other offenses and criminal damage as time progresses. Notably, there is a clustering of assaults and batteries in the later months, alongside a consistent presence of other offenses throughout the timeline. Additionally, incidents involving interference with public officers appear intermittently, suggesting a recurring issue. Overall, the data reflects a dynamic pattern of crime types that evolve as time advances." }, { "dim_process": 20, "seq_idx": 266, "seq_len": 35, "time_since_start": [ 0.0, 1.4625, 1.5920138888888888, 1.7789814814814815, 2.264236111111111, 2.337152777777778, 2.591759259259259, 2.669513888888889, 3.9034722222222222, 4.337152777777778, 4.665856481481481, 5.480208333333334, 5.828819444444444, 6.767708333333333, 7.082986111111111, 7.316296296296296, 7.631597222222222, 7.85900462962963, 7.906412037037037, 8.131597222222222, 8.961458333333333, 9.942708333333334, 10.796226851851852, 12.953819444444445, 13.018402777777778, 13.316527777777777, 13.402592592592592, 13.599652777777777, 14.537916666666666, 15.162847222222222, 15.536990740740741, 17.159375, 19.865625, 19.97074074074074, 21.198958333333334 ], "time_since_last_event": [ 0.0, 1.4625, 0.1295138888888889, 0.1869675925925926, 0.4852546296296296, 0.07291666666666667, 0.25460648148148146, 0.07775462962962963, 1.2339583333333333, 0.43368055555555557, 0.3287037037037037, 0.8143518518518519, 0.3486111111111111, 0.9388888888888889, 0.31527777777777777, 0.23331018518518518, 0.3153009259259259, 0.22740740740740742, 0.047407407407407405, 0.22518518518518518, 0.8298611111111112, 0.98125, 0.8535185185185186, 2.1575925925925925, 0.06458333333333334, 0.298125, 0.08606481481481482, 0.19706018518518517, 0.9382638888888889, 0.6249305555555555, 0.3741435185185185, 1.6223842592592592, 2.70625, 0.10511574074074075, 1.2282175925925927 ], "type_event": [ 10, 6, 2, 7, 9, 1, 1, 18, 9, 18, 16, 10, 9, 0, 4, 4, 6, 9, 7, 16, 10, 8, 7, 3, 8, 8, 1, 6, 7, 4, 7, 6, 0, 9, 7 ], "type_text": [ "Burglary", "Criminal Damage", "Sex Offense", "Battery", "Assault", "Weapons Violation", "Weapons Violation", "Public Peace Violation", "Assault", "Public Peace Violation", "Narcotics", "Burglary", "Assault", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Criminal Damage", "Assault", "Battery", "Narcotics", "Burglary", "Other Offense", "Battery", "Deceptive Practice", "Other Offense", "Other Offense", "Weapons Violation", "Criminal Damage", "Battery", "Motor Vehicle Theft", "Battery", "Criminal Damage", "Theft", "Assault", "Battery" ], "description": "The sequence of crime incidents in Chicago begins with a burglary, followed by various offenses such as criminal damage and sexual offenses within the first few months. Assaults and weapons violations appear in the early to mid-range of the timeline, with a noticeable clustering of battery incidents occurring later. Motor vehicle thefts emerge around the seven-month mark, while narcotics offenses and other types of crimes appear intermittently throughout the sequence. Towards the end of the timeline, there is a resurgence of criminal damage and battery incidents, indicating a pattern of recurring offenses in the latter months." }, { "dim_process": 20, "seq_idx": 267, "seq_len": 60, "time_since_start": [ 0.0, 0.3681712962962963, 1.057060185185185, 1.073726851851852, 1.2440972222222222, 1.3631944444444444, 2.0077546296296296, 2.133796296296296, 2.2737268518518516, 3.330671296296296, 3.560300925925926, 3.5703009259259257, 3.9010648148148146, 4.373958333333333, 4.493171296296296, 4.531365740740741, 5.060532407407408, 6.180671296296296, 6.375810185185185, 6.894560185185185, 7.531018518518518, 7.555509259259259, 7.579745370370371, 7.8306712962962965, 7.834143518518519, 7.989351851851852, 8.136342592592593, 8.258888888888889, 8.739930555555556, 9.11724537037037, 9.351851851851851, 10.49664351851852, 10.930671296296296, 11.303310185185186, 11.357060185185185, 11.548726851851852, 12.966782407407408, 13.51261574074074, 13.565393518518519, 13.825717592592593, 15.629282407407407, 15.76201388888889, 16.365856481481483, 16.591782407407408, 17.393402777777776, 18.038078703703704, 18.44039351851852, 18.863865740740742, 18.902037037037037, 19.46087962962963, 20.032060185185184, 20.53553240740741, 20.883703703703702, 21.16724537037037, 21.477893518518517, 21.597314814814816, 22.01678240740741, 22.559837962962963, 22.633449074074075, 22.70150462962963 ], "time_since_last_event": [ 0.0, 0.3681712962962963, 0.6888888888888889, 0.016666666666666666, 0.17037037037037037, 0.11909722222222222, 0.6445601851851852, 0.12604166666666666, 0.13993055555555556, 1.0569444444444445, 0.22962962962962963, 0.01, 0.3307638888888889, 0.4728935185185185, 0.11921296296296297, 0.03819444444444445, 0.5291666666666667, 1.1201388888888888, 0.1951388888888889, 0.51875, 0.6364583333333333, 0.02449074074074074, 0.02423611111111111, 0.25092592592592594, 0.003472222222222222, 0.15520833333333334, 0.14699074074074073, 0.12254629629629629, 0.48104166666666665, 0.3773148148148148, 0.23460648148148147, 1.1447916666666667, 0.4340277777777778, 0.3726388888888889, 0.05375, 0.19166666666666668, 1.4180555555555556, 0.5458333333333333, 0.05277777777777778, 0.2603240740740741, 1.803564814814815, 0.13273148148148148, 0.6038425925925925, 0.22592592592592592, 0.8016203703703704, 0.6446759259259259, 0.4023148148148148, 0.42347222222222225, 0.03817129629629629, 0.5588425925925926, 0.5711805555555556, 0.5034722222222222, 0.3481712962962963, 0.2835416666666667, 0.3106481481481482, 0.1194212962962963, 0.4194675925925926, 0.5430555555555555, 0.07361111111111111, 0.06805555555555555 ], "type_event": [ 7, 7, 7, 0, 6, 5, 4, 7, 7, 7, 7, 7, 7, 14, 3, 0, 9, 0, 2, 7, 7, 7, 14, 7, 7, 6, 7, 16, 9, 3, 6, 7, 7, 11, 7, 7, 7, 10, 0, 6, 0, 7, 7, 4, 0, 8, 0, 6, 9, 7, 7, 7, 9, 7, 7, 7, 9, 9, 0, 0 ], "type_text": [ "Battery", "Battery", "Battery", "Theft", "Criminal Damage", "Criminal Trespass", "Motor Vehicle Theft", "Battery", "Battery", "Battery", "Battery", "Battery", "Battery", "Criminal Sexual Assault", "Deceptive Practice", "Theft", "Assault", "Theft", "Sex Offense", "Battery", "Battery", "Battery", "Criminal Sexual Assault", "Battery", "Battery", "Criminal Damage", "Battery", "Narcotics", "Assault", "Deceptive Practice", "Criminal Damage", "Battery", "Battery", "Robbery", "Battery", "Battery", "Battery", "Burglary", "Theft", "Criminal Damage", "Theft", "Battery", "Battery", "Motor Vehicle Theft", "Theft", "Other Offense", "Theft", "Criminal Damage", "Assault", "Battery", "Battery", "Battery", "Assault", "Battery", "Battery", "Battery", "Assault", "Assault", "Theft", "Theft" ], "description": "The sequence of crime incidents shows a high frequency of battery offenses occurring early in the timeline, particularly within the first few months. Theft incidents begin to appear shortly after, with a noticeable increase in variety and frequency of crime types around the 4 to 8-month mark, including criminal damage and sexual assault. As the timeline progresses, there are clusters of battery and theft incidents, with a gradual introduction of other offenses like robbery and burglary in the later months. The trend indicates that battery remains the most common crime type throughout, while theft and criminal damage also become prominent as time advances." }, { "dim_process": 20, "seq_idx": 268, "seq_len": 37, "time_since_start": [ 0.0, 0.12395833333333334, 1.3354166666666667, 1.7193055555555556, 2.269212962962963, 2.9730324074074073, 3.5076388888888888, 4.565972222222222, 4.598263888888889, 4.598263888888889, 4.758912037037037, 5.041828703703704, 5.043796296296296, 5.052777777777778, 5.094398148148148, 5.396527777777778, 5.6463425925925925, 6.665972222222222, 8.565277777777778, 8.606944444444444, 9.230555555555556, 11.266296296296296, 11.559027777777779, 13.758333333333333, 14.0625, 14.990277777777777, 17.03148148148148, 17.041435185185186, 17.073611111111113, 18.69699074074074, 19.811319444444443, 19.935902777777777, 20.885416666666668, 20.885416666666668, 21.893981481481482, 22.2875, 22.940277777777776 ], "time_since_last_event": [ 0.0, 0.12395833333333334, 1.2114583333333333, 0.3838888888888889, 0.5499074074074074, 0.7038194444444444, 0.5346064814814815, 1.0583333333333333, 0.03229166666666667, 0.0, 0.16064814814814815, 0.28291666666666665, 0.0019675925925925924, 0.008981481481481481, 0.04162037037037037, 0.30212962962962964, 0.24981481481481482, 1.0196296296296297, 1.8993055555555556, 0.041666666666666664, 0.6236111111111111, 2.035740740740741, 0.2927314814814815, 2.1993055555555556, 0.30416666666666664, 0.9277777777777778, 2.0412037037037036, 0.009953703703703704, 0.03217592592592593, 1.6233796296296297, 1.1143287037037037, 0.12458333333333334, 0.9495138888888889, 0.0, 1.0085648148148147, 0.39351851851851855, 0.6527777777777778 ], "type_event": [ 7, 9, 10, 9, 6, 6, 7, 7, 18, 8, 3, 0, 1, 8, 8, 0, 7, 9, 4, 8, 0, 7, 8, 7, 7, 3, 6, 1, 3, 7, 6, 11, 7, 9, 11, 0, 6 ], "type_text": [ "Battery", "Assault", "Burglary", "Assault", "Criminal Damage", "Criminal Damage", "Battery", "Battery", "Public Peace Violation", "Other Offense", "Deceptive Practice", "Theft", "Weapons Violation", "Other Offense", "Other Offense", "Theft", "Battery", "Assault", "Motor Vehicle Theft", "Other Offense", "Theft", "Battery", "Other Offense", "Battery", "Battery", "Deceptive Practice", "Criminal Damage", "Weapons Violation", "Deceptive Practice", "Battery", "Criminal Damage", "Robbery", "Battery", "Assault", "Robbery", "Theft", "Criminal Damage" ], "description": "The sequence of crime incidents shows a variety of offenses occurring over time, with certain types of crimes clustering in specific periods. Initially, battery and assault incidents are reported, followed by a rise in property-related crimes such as burglary and theft. As the timeline progresses, there is a notable increase in criminal damage and other offenses, particularly around the mid to late stages. Battery incidents appear consistently throughout the sequence, while robbery incidents are concentrated towards the end. Overall, the data reflects a mix of violent and property crimes, with fluctuations in the frequency and type of offenses over the observed period." }, { "dim_process": 20, "seq_idx": 269, "seq_len": 60, "time_since_start": [ 0.0, 0.15324074074074073, 1.3886574074074074, 1.4800925925925925, 1.6949768518518518, 1.7194444444444446, 2.296527777777778, 2.477592592592593, 3.3313425925925926, 3.4631944444444445, 3.857638888888889, 4.462337962962963, 5.663194444444445, 5.889722222222222, 6.029861111111111, 6.1090277777777775, 6.298611111111111, 6.6491898148148145, 6.7573842592592595, 7.065162037037037, 7.314583333333333, 7.580555555555556, 7.928865740740741, 8.30486111111111, 8.651041666666666, 8.926944444444445, 9.741666666666667, 9.963217592592592, 10.264583333333333, 10.647222222222222, 12.590046296296297, 12.774305555555555, 13.888194444444444, 13.896550925925926, 13.933634259259259, 14.057638888888889, 14.130324074074075, 15.128472222222221, 15.433981481481482, 15.61875, 15.820162037037036, 15.960416666666667, 16.897916666666667, 17.560439814814814, 17.65625, 17.75891203703704, 17.798773148148147, 18.091458333333332, 18.230925925925927, 18.277083333333334, 18.313055555555554, 18.323958333333334, 18.48125, 19.19849537037037, 19.385416666666668, 19.81138888888889, 19.880555555555556, 20.262037037037036, 20.352777777777778, 20.79523148148148 ], "time_since_last_event": [ 0.0, 0.15324074074074073, 1.2354166666666666, 0.09143518518518519, 0.21488425925925925, 0.024467592592592593, 0.5770833333333333, 0.18106481481481482, 0.85375, 0.13185185185185186, 0.39444444444444443, 0.6046990740740741, 1.2008564814814815, 0.22652777777777777, 0.1401388888888889, 0.07916666666666666, 0.18958333333333333, 0.3505787037037037, 0.10819444444444444, 0.30777777777777776, 0.2494212962962963, 0.2659722222222222, 0.3483101851851852, 0.3759953703703704, 0.34618055555555555, 0.2759027777777778, 0.8147222222222222, 0.22155092592592593, 0.30136574074074074, 0.38263888888888886, 1.942824074074074, 0.18425925925925926, 1.113888888888889, 0.008356481481481482, 0.037083333333333336, 0.12400462962962963, 0.07268518518518519, 0.9981481481481481, 0.30550925925925926, 0.18476851851851853, 0.20141203703703703, 0.14025462962962962, 0.9375, 0.6625231481481482, 0.09581018518518518, 0.10266203703703704, 0.03986111111111111, 0.29268518518518516, 0.1394675925925926, 0.046157407407407404, 0.035972222222222225, 0.010902777777777779, 0.15729166666666666, 0.7172453703703704, 0.1869212962962963, 0.4259722222222222, 0.06916666666666667, 0.3814814814814815, 0.09074074074074075, 0.4424537037037037 ], "type_event": [ 0, 3, 7, 9, 9, 9, 4, 10, 8, 8, 4, 2, 14, 7, 4, 3, 8, 8, 6, 9, 9, 0, 7, 0, 0, 7, 4, 0, 9, 7, 0, 4, 4, 0, 5, 9, 4, 0, 0, 7, 8, 4, 6, 11, 3, 9, 7, 1, 0, 0, 10, 0, 0, 7, 8, 9, 0, 1, 0, 9 ], "type_text": [ "Theft", "Deceptive Practice", "Battery", "Assault", "Assault", "Assault", "Motor Vehicle Theft", "Burglary", "Other Offense", "Other Offense", "Motor Vehicle Theft", "Sex Offense", "Criminal Sexual Assault", "Battery", "Motor Vehicle Theft", "Deceptive Practice", "Other Offense", "Other Offense", "Criminal Damage", "Assault", "Assault", "Theft", "Battery", "Theft", "Theft", "Battery", "Motor Vehicle Theft", "Theft", "Assault", "Battery", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Theft", "Criminal Trespass", "Assault", "Motor Vehicle Theft", "Theft", "Theft", "Battery", "Other Offense", "Motor Vehicle Theft", "Criminal Damage", "Robbery", "Deceptive Practice", "Assault", "Battery", "Weapons Violation", "Theft", "Theft", "Burglary", "Theft", "Theft", "Battery", "Other Offense", "Assault", "Theft", "Weapons Violation", "Theft", "Assault" ], "description": "The sequence of crime incidents shows a progression of various crime types over time, with notable clusters of specific offenses. Initially, theft and deceptive practices occur early in the timeline, followed by a series of assaults and batteries within the first few months. Motor vehicle thefts appear intermittently throughout the sequence, with a noticeable increase in frequency in the later months. Other offenses and thefts also show a tendency to cluster together, particularly in the middle to later stages of the timeline, while violent crimes like assaults and batteries are more concentrated in the earlier months. Overall, the data indicates a diverse range of crime types with varying frequencies at different points in time." }, { "dim_process": 20, "seq_idx": 270, "seq_len": 43, "time_since_start": [ 0.0, 1.001273148148148, 1.8834259259259258, 2.250462962962963, 2.4875, 3.0, 3.786111111111111, 4.123611111111111, 5.366712962962963, 5.684259259259259, 5.686550925925926, 5.748611111111111, 5.766435185185185, 6.616828703703704, 7.422361111111111, 7.554768518518519, 8.011111111111111, 8.821180555555555, 9.202430555555555, 9.489236111111111, 10.280555555555555, 10.754166666666666, 10.833425925925926, 11.033333333333333, 11.353819444444444, 12.86111111111111, 13.617708333333333, 14.179050925925926, 15.213888888888889, 15.977777777777778, 16.883449074074075, 17.69884259259259, 17.70277777777778, 17.8, 18.75, 19.21736111111111, 20.270833333333332, 20.80472222222222, 21.88361111111111, 22.816666666666666, 23.394444444444446, 23.558333333333334, 24.00138888888889 ], "time_since_last_event": [ 0.0, 1.001273148148148, 0.8821527777777778, 0.36703703703703705, 0.23703703703703705, 0.5125, 0.7861111111111111, 0.3375, 1.243101851851852, 0.31754629629629627, 0.0022916666666666667, 0.062060185185185184, 0.017824074074074076, 0.8503935185185185, 0.8055324074074074, 0.13240740740740742, 0.4563425925925926, 0.8100694444444444, 0.38125, 0.28680555555555554, 0.7913194444444445, 0.4736111111111111, 0.07925925925925927, 0.1999074074074074, 0.32048611111111114, 1.5072916666666667, 0.7565972222222223, 0.5613425925925926, 1.034837962962963, 0.7638888888888888, 0.9056712962962963, 0.8153935185185185, 0.003935185185185185, 0.09722222222222222, 0.95, 0.4673611111111111, 1.0534722222222221, 0.5338888888888889, 1.0788888888888888, 0.9330555555555555, 0.5777777777777777, 0.1638888888888889, 0.44305555555555554 ], "type_event": [ 6, 7, 7, 8, 4, 3, 0, 0, 7, 7, 9, 6, 6, 5, 9, 7, 6, 9, 6, 9, 5, 6, 9, 3, 3, 0, 9, 0, 0, 8, 7, 7, 9, 0, 0, 8, 6, 7, 0, 0, 10, 6, 5 ], "type_text": [ "Criminal Damage", "Battery", "Battery", "Other Offense", "Motor Vehicle Theft", "Deceptive Practice", "Theft", "Theft", "Battery", "Battery", "Assault", "Criminal Damage", "Criminal Damage", "Criminal Trespass", "Assault", "Battery", "Criminal Damage", "Assault", "Criminal Damage", "Assault", "Criminal Trespass", "Criminal Damage", "Assault", "Deceptive Practice", "Deceptive Practice", "Theft", "Assault", "Theft", "Theft", "Other Offense", "Battery", "Battery", "Assault", "Theft", "Theft", "Other Offense", "Criminal Damage", "Battery", "Theft", "Theft", "Burglary", "Criminal Damage", "Criminal Trespass" ], "description": "The sequence of crime incidents in the block shows a variety of crime types occurring over time, with notable clustering patterns. Initially, incidents such as Criminal Damage and Battery appear within the first few months, followed by a mix of offenses including Theft and Assault as time progresses. There is a noticeable increase in the frequency of Battery and Assault incidents around the 5 to 9-month mark, while Theft incidents tend to cluster later in the sequence, particularly between the 12 to 22-month range. Criminal Damage also appears consistently throughout the timeline, with several occurrences in the latter months. Overall, the sequence exhibits a gradual escalation in the diversity and frequency of crime types over time." }, { "dim_process": 20, "seq_idx": 271, "seq_len": 37, "time_since_start": [ 0.0, 0.16770833333333332, 1.0766898148148147, 1.0768287037037036, 1.0771527777777778, 1.0784722222222223, 3.009212962962963, 3.441550925925926, 4.648912037037037, 4.972569444444445, 6.189236111111111, 6.669791666666667, 6.949675925925926, 7.176273148148148, 7.238657407407407, 12.919444444444444, 13.07798611111111, 13.511805555555556, 14.136574074074074, 14.169907407407408, 14.915972222222223, 15.563194444444445, 15.671550925925926, 16.18275462962963, 16.244444444444444, 16.883564814814815, 17.36664351851852, 17.403240740740742, 18.21875, 18.5, 18.57699074074074, 19.30289351851852, 19.913796296296297, 20.34375, 21.880671296296295, 22.018402777777776, 23.009027777777778 ], "time_since_last_event": [ 0.0, 0.16770833333333332, 0.9089814814814815, 0.0001388888888888889, 0.00032407407407407406, 0.0013194444444444445, 1.9307407407407406, 0.43233796296296295, 1.207361111111111, 0.3236574074074074, 1.2166666666666666, 0.48055555555555557, 0.27988425925925925, 0.22659722222222223, 0.06238425925925926, 5.680787037037037, 0.15854166666666666, 0.4338194444444444, 0.6247685185185186, 0.03333333333333333, 0.7460648148148148, 0.6472222222222223, 0.10835648148148148, 0.5112037037037037, 0.061689814814814815, 0.6391203703703704, 0.4830787037037037, 0.036597222222222225, 0.8155092592592592, 0.28125, 0.07699074074074073, 0.7259027777777778, 0.6109027777777778, 0.4299537037037037, 1.5369212962962964, 0.13773148148148148, 0.990625 ], "type_event": [ 17, 1, 16, 6, 15, 9, 16, 9, 1, 3, 1, 0, 1, 0, 7, 4, 1, 0, 0, 0, 7, 0, 3, 9, 7, 3, 3, 6, 10, 11, 1, 7, 1, 10, 7, 6, 0 ], "type_text": [ "Stalking", "Weapons Violation", "Narcotics", "Criminal Damage", "Interference With Public Officer", "Assault", "Narcotics", "Assault", "Weapons Violation", "Deceptive Practice", "Weapons Violation", "Theft", "Weapons Violation", "Theft", "Battery", "Motor Vehicle Theft", "Weapons Violation", "Theft", "Theft", "Theft", "Battery", "Theft", "Deceptive Practice", "Assault", "Battery", "Deceptive Practice", "Deceptive Practice", "Criminal Damage", "Burglary", "Robbery", "Weapons Violation", "Battery", "Weapons Violation", "Burglary", "Battery", "Criminal Damage", "Theft" ], "description": "The sequence of crime incidents shows a pattern where various types of crimes occur in clusters, particularly in the early months and later months. Initially, there is a mix of stalking and weapons violations, followed by a concentration of narcotics and assault incidents around the one-month mark. As time progresses, weapons violations and thefts become more frequent, with several incidents of theft clustered between the 14th and 15th month. Towards the end of the sequence, there is a notable presence of battery and criminal damage incidents, indicating a shift in the types of crimes reported over time." }, { "dim_process": 20, "seq_idx": 272, "seq_len": 54, "time_since_start": [ 0.0, 0.14560185185185184, 0.8265277777777778, 2.332060185185185, 2.732175925925926, 3.3019675925925926, 3.466203703703704, 3.872453703703704, 4.910416666666666, 5.174537037037037, 5.492893518518518, 5.59837962962963, 6.082870370370371, 6.434444444444445, 6.880648148148148, 7.4773148148148145, 8.725231481481481, 8.928125, 9.230231481481482, 9.860648148148147, 10.366736111111111, 10.838310185185184, 10.963402777777778, 11.172916666666667, 11.642824074074074, 11.73773148148148, 12.106712962962963, 12.134953703703705, 12.473842592592593, 13.231944444444444, 14.525578703703705, 14.561458333333333, 14.664837962962963, 14.846064814814815, 14.879398148148148, 16.170833333333334, 16.366666666666667, 16.60266203703704, 17.001550925925926, 18.771064814814814, 19.05474537037037, 19.294652777777777, 19.872800925925926, 20.047453703703702, 20.33912037037037, 20.366180555555555, 20.513773148148147, 20.88287037037037, 20.997453703703705, 21.643287037037037, 21.896296296296295, 22.398541666666667, 22.588078703703705, 22.660949074074075 ], "time_since_last_event": [ 0.0, 0.14560185185185184, 0.6809259259259259, 1.5055324074074075, 0.40011574074074074, 0.5697916666666667, 0.1642361111111111, 0.40625, 1.037962962962963, 0.2641203703703704, 0.3183564814814815, 0.10548611111111111, 0.4844907407407407, 0.3515740740740741, 0.4462037037037037, 0.5966666666666667, 1.2479166666666666, 0.20289351851851853, 0.3021064814814815, 0.6304166666666666, 0.506087962962963, 0.4715740740740741, 0.1250925925925926, 0.2095138888888889, 0.4699074074074074, 0.09490740740740741, 0.36898148148148147, 0.02824074074074074, 0.3388888888888889, 0.7581018518518519, 1.2936342592592593, 0.03587962962962963, 0.10337962962962963, 0.18122685185185186, 0.03333333333333333, 1.291435185185185, 0.19583333333333333, 0.23599537037037038, 0.3988888888888889, 1.7695138888888888, 0.28368055555555555, 0.2399074074074074, 0.5781481481481482, 0.17465277777777777, 0.2916666666666667, 0.027060185185185184, 0.14759259259259258, 0.36909722222222224, 0.11458333333333333, 0.6458333333333334, 0.25300925925925927, 0.5022453703703704, 0.18953703703703703, 0.07287037037037038 ], "type_event": [ 4, 11, 0, 16, 9, 7, 0, 1, 2, 4, 1, 9, 0, 5, 9, 6, 11, 7, 6, 4, 4, 4, 6, 12, 9, 4, 7, 9, 4, 7, 9, 6, 7, 10, 0, 6, 0, 1, 1, 7, 4, 0, 11, 4, 7, 9, 4, 4, 0, 0, 0, 16, 7, 16 ], "type_text": [ "Motor Vehicle Theft", "Robbery", "Theft", "Narcotics", "Assault", "Battery", "Theft", "Weapons Violation", "Sex Offense", "Motor Vehicle Theft", "Weapons Violation", "Assault", "Theft", "Criminal Trespass", "Assault", "Criminal Damage", "Robbery", "Battery", "Criminal Damage", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Criminal Damage", "Arson", "Assault", "Motor Vehicle Theft", "Battery", "Assault", "Motor Vehicle Theft", "Battery", "Assault", "Criminal Damage", "Battery", "Burglary", "Theft", "Criminal Damage", "Theft", "Weapons Violation", "Weapons Violation", "Battery", "Motor Vehicle Theft", "Theft", "Robbery", "Motor Vehicle Theft", "Battery", "Assault", "Motor Vehicle Theft", "Motor Vehicle Theft", "Theft", "Theft", "Theft", "Narcotics", "Battery", "Narcotics" ], "description": "The sequence of crime incidents shows a variety of crime types occurring over time, with certain patterns emerging. Initial incidents include motor vehicle theft and robbery, followed by a mix of theft and violent crimes like assault and battery in the early months. As time progresses, there is a noticeable clustering of motor vehicle theft incidents, particularly in the later months, alongside repeated occurrences of theft and battery. Additionally, there are several instances of criminal damage and narcotics offenses that appear later in the timeline, indicating a diverse range of criminal activities throughout the observed period." }, { "dim_process": 20, "seq_idx": 273, "seq_len": 34, "time_since_start": [ 0.0, 0.3171527777777778, 0.9845138888888889, 1.6047685185185185, 1.8794675925925926, 2.241296296296296, 3.7022222222222223, 3.8794675925925928, 3.9096527777777776, 3.9163657407407406, 5.1883333333333335, 5.640416666666667, 5.770277777777777, 5.795277777777778, 5.975069444444444, 7.046666666666667, 8.881388888888889, 9.444351851851852, 10.49150462962963, 10.551990740740742, 11.579652777777778, 13.457777777777778, 13.849444444444444, 13.858472222222222, 15.498680555555556, 15.912199074074074, 16.229837962962964, 18.409861111111113, 19.475833333333334, 20.79388888888889, 21.47074074074074, 21.47074074074074, 21.516203703703702, 21.908125 ], "time_since_last_event": [ 0.0, 0.3171527777777778, 0.6673611111111111, 0.6202546296296296, 0.27469907407407407, 0.3618287037037037, 1.460925925925926, 0.17724537037037036, 0.030185185185185186, 0.006712962962962963, 1.2719675925925926, 0.45208333333333334, 0.12986111111111112, 0.025, 0.17979166666666666, 1.0715972222222223, 1.8347222222222221, 0.562962962962963, 1.0471527777777778, 0.06048611111111111, 1.027662037037037, 1.878125, 0.39166666666666666, 0.009027777777777777, 1.6402083333333333, 0.4135185185185185, 0.3176388888888889, 2.1800231481481482, 1.0659722222222223, 1.3180555555555555, 0.6768518518518518, 0.0, 0.04546296296296296, 0.3919212962962963 ], "type_event": [ 13, 7, 7, 7, 9, 0, 3, 11, 19, 8, 19, 0, 8, 6, 1, 8, 4, 9, 11, 9, 0, 11, 4, 11, 1, 6, 9, 7, 5, 3, 7, 9, 11, 11 ], "type_text": [ "Offense Involving Children", "Battery", "Battery", "Battery", "Assault", "Theft", "Deceptive Practice", "Robbery", "Homicide", "Other Offense", "Homicide", "Theft", "Other Offense", "Criminal Damage", "Weapons Violation", "Other Offense", "Motor Vehicle Theft", "Assault", "Robbery", "Assault", "Theft", "Robbery", "Motor Vehicle Theft", "Robbery", "Weapons Violation", "Criminal Damage", "Assault", "Battery", "Criminal Trespass", "Deceptive Practice", "Battery", "Assault", "Robbery", "Robbery" ], "description": "The sequence of crime incidents begins with offenses involving children and several battery incidents occurring within the first two months. Assaults and thefts emerge shortly after, with a notable increase in robbery and homicide incidents around the three to six-month mark. As time progresses, there is a clustering of various offenses, including multiple robberies and assaults, occurring between the 10 to 22-month range, with a mix of thefts and other offenses interspersed throughout. The data shows a trend of escalating violence and property crimes over time, with certain types of offenses, such as robbery and assault, occurring more frequently in the latter months of the sequence." }, { "dim_process": 20, "seq_idx": 274, "seq_len": 47, "time_since_start": [ 0.0, 0.020833333333333332, 0.8833333333333333, 1.928587962962963, 2.1488425925925925, 2.258888888888889, 3.1958333333333333, 3.6013888888888888, 3.602615740740741, 4.473611111111111, 4.604166666666667, 4.788888888888889, 5.5379398148148145, 5.954166666666667, 6.2444444444444445, 6.320648148148148, 6.388310185185185, 6.456944444444445, 6.636111111111111, 6.666828703703704, 7.0625, 7.454861111111111, 7.685162037037037, 9.48837962962963, 9.963888888888889, 10.36736111111111, 10.736805555555556, 10.935416666666667, 13.02361111111111, 15.395833333333334, 15.637523148148148, 16.15763888888889, 16.795601851851853, 18.020833333333332, 18.396527777777777, 18.883287037037036, 18.900694444444444, 19.47222222222222, 19.69212962962963, 19.8625, 20.524305555555557, 21.633333333333333, 22.65449074074074, 22.693055555555556, 22.80300925925926, 23.125694444444445, 23.2625 ], "time_since_last_event": [ 0.0, 0.020833333333333332, 0.8625, 1.0452546296296297, 0.22025462962962963, 0.1100462962962963, 0.9369444444444445, 0.40555555555555556, 0.0012268518518518518, 0.8709953703703703, 0.13055555555555556, 0.18472222222222223, 0.7490509259259259, 0.4162268518518519, 0.2902777777777778, 0.0762037037037037, 0.06766203703703703, 0.06863425925925926, 0.17916666666666667, 0.03071759259259259, 0.39567129629629627, 0.3923611111111111, 0.23030092592592594, 1.8032175925925926, 0.47550925925925924, 0.40347222222222223, 0.36944444444444446, 0.1986111111111111, 2.0881944444444445, 2.3722222222222222, 0.2416898148148148, 0.5201157407407407, 0.637962962962963, 1.2252314814814815, 0.37569444444444444, 0.4867592592592593, 0.017407407407407406, 0.5715277777777777, 0.2199074074074074, 0.17037037037037037, 0.6618055555555555, 1.1090277777777777, 1.0211574074074075, 0.038564814814814816, 0.1099537037037037, 0.3226851851851852, 0.13680555555555557 ], "type_event": [ 7, 0, 0, 0, 0, 0, 6, 6, 0, 10, 3, 0, 11, 0, 7, 0, 0, 0, 0, 6, 0, 3, 10, 0, 0, 10, 0, 0, 3, 0, 0, 7, 0, 0, 3, 7, 0, 7, 9, 0, 0, 0, 0, 0, 0, 0, 10 ], "type_text": [ "Battery", "Theft", "Theft", "Theft", "Theft", "Theft", "Criminal Damage", "Criminal Damage", "Theft", "Burglary", "Deceptive Practice", "Theft", "Robbery", "Theft", "Battery", "Theft", "Theft", "Theft", "Theft", "Criminal Damage", "Theft", "Deceptive Practice", "Burglary", "Theft", "Theft", "Burglary", "Theft", "Theft", "Deceptive Practice", "Theft", "Theft", "Battery", "Theft", "Theft", "Deceptive Practice", "Battery", "Theft", "Battery", "Assault", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Burglary" ], "description": "The sequence of crime incidents shows a pattern where thefts are the most frequently reported crime type, occurring throughout the timeline with notable clusters, particularly in the earlier months and again around the 15-month mark. Battery incidents appear sporadically, with a slight increase in frequency in the later months. Criminal damage and burglary incidents are less frequent but occur at distinct points, with burglaries appearing primarily in the mid to later months of the timeline. Deceptive practices also show a pattern of clustering around the middle of the sequence. Overall, the data reflects a predominance of theft incidents, with other crime types interspersed throughout the timeline." }, { "dim_process": 20, "seq_idx": 275, "seq_len": 30, "time_since_start": [ 0.0, 1.144212962962963, 1.6365740740740742, 3.9293518518518518, 4.206944444444445, 4.806018518518519, 5.2325231481481485, 6.438657407407407, 7.377037037037037, 7.597916666666666, 8.038657407407408, 8.065046296296297, 8.650810185185184, 9.312268518518518, 10.286944444444444, 11.545601851851853, 12.634143518518519, 12.903472222222222, 14.145601851851852, 14.49826388888889, 16.13449074074074, 16.656712962962963, 17.420601851851853, 18.392824074074074, 18.745694444444446, 19.34837962962963, 19.928935185185185, 20.23726851851852, 21.452546296296298, 22.558796296296297 ], "time_since_last_event": [ 0.0, 1.144212962962963, 0.49236111111111114, 2.292777777777778, 0.2775925925925926, 0.5990740740740741, 0.42650462962962965, 1.2061342592592592, 0.9383796296296296, 0.22087962962962962, 0.44074074074074077, 0.02638888888888889, 0.5857638888888889, 0.6614583333333334, 0.9746759259259259, 1.2586574074074075, 1.0885416666666667, 0.2693287037037037, 1.2421296296296296, 0.352662037037037, 1.636226851851852, 0.5222222222222223, 0.7638888888888888, 0.9722222222222222, 0.3528703703703704, 0.6026851851851852, 0.5805555555555556, 0.30833333333333335, 1.2152777777777777, 1.10625 ], "type_event": [ 0, 3, 3, 0, 9, 0, 0, 0, 7, 0, 4, 3, 0, 4, 0, 4, 0, 6, 0, 11, 3, 5, 6, 6, 6, 0, 3, 4, 8, 6 ], "type_text": [ "Theft", "Deceptive Practice", "Deceptive Practice", "Theft", "Assault", "Theft", "Theft", "Theft", "Battery", "Theft", "Motor Vehicle Theft", "Deceptive Practice", "Theft", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Theft", "Criminal Damage", "Theft", "Robbery", "Deceptive Practice", "Criminal Trespass", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Theft", "Deceptive Practice", "Motor Vehicle Theft", "Other Offense", "Criminal Damage" ], "description": "The sequence of crime incidents shows a progression where theft incidents occur frequently, particularly in the earlier months, establishing a pattern of theft as a dominant crime type. Deceptive practices also appear early on, with multiple occurrences clustered within the first few months. As time progresses, there is a noticeable increase in violent crimes, such as assault and battery, occurring around mid-sequence. Towards the later months, criminal damage incidents increase significantly, alongside a few motor vehicle thefts and a robbery. Overall, the sequence reflects a trend of theft and deceptive practices dominating the early period, followed by a rise in violent and property crimes as time advances." }, { "dim_process": 20, "seq_idx": 276, "seq_len": 34, "time_since_start": [ 0.0, 2.1708796296296295, 2.321296296296296, 2.845833333333333, 2.8680555555555554, 3.7102314814814816, 3.932638888888889, 4.732638888888889, 4.825, 6.375810185185185, 7.177777777777778, 8.195833333333333, 9.509722222222223, 9.92361111111111, 10.1375, 10.903819444444444, 11.047222222222222, 11.570833333333333, 11.743055555555555, 14.208842592592593, 14.218055555555555, 15.401388888888889, 15.593055555555555, 15.699537037037038, 15.982222222222223, 15.990972222222222, 17.00076388888889, 17.09164351851852, 17.985416666666666, 20.027662037037036, 21.32638888888889, 21.413912037037036, 21.74965277777778, 22.008333333333333 ], "time_since_last_event": [ 0.0, 2.1708796296296295, 0.15041666666666667, 0.524537037037037, 0.022222222222222223, 0.8421759259259259, 0.22240740740740741, 0.8, 0.09236111111111112, 1.5508101851851852, 0.8019675925925925, 1.0180555555555555, 1.3138888888888889, 0.41388888888888886, 0.21388888888888888, 0.7663194444444444, 0.14340277777777777, 0.5236111111111111, 0.17222222222222222, 2.465787037037037, 0.009212962962962963, 1.1833333333333333, 0.19166666666666668, 0.10648148148148148, 0.2826851851851852, 0.00875, 1.0097916666666666, 0.09087962962962963, 0.8937731481481481, 2.0422453703703702, 1.2987268518518518, 0.08752314814814814, 0.33574074074074073, 0.2586805555555556 ], "type_event": [ 0, 1, 0, 4, 4, 1, 6, 0, 0, 1, 0, 1, 7, 1, 11, 0, 7, 4, 4, 7, 6, 9, 4, 4, 6, 6, 7, 7, 0, 19, 8, 7, 0, 8 ], "type_text": [ "Theft", "Weapons Violation", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Weapons Violation", "Criminal Damage", "Theft", "Theft", "Weapons Violation", "Theft", "Weapons Violation", "Battery", "Weapons Violation", "Robbery", "Theft", "Battery", "Motor Vehicle Theft", "Motor Vehicle Theft", "Battery", "Criminal Damage", "Assault", "Motor Vehicle Theft", "Motor Vehicle Theft", "Criminal Damage", "Criminal Damage", "Battery", "Battery", "Theft", "Homicide", "Other Offense", "Battery", "Theft", "Other Offense" ], "description": "The sequence of crime incidents begins with thefts occurring early on, followed by a mix of weapons violations and motor vehicle thefts shortly thereafter. As time progresses, there is a noticeable increase in violent offenses, including batteries and a homicide, which appear later in the timeline. The pattern shows a clustering of theft-related incidents in the initial months, while violent crimes and property damage offenses become more prominent in the later stages. Overall, the sequence reflects a transition from property crimes to more serious offenses as time advances." }, { "dim_process": 20, "seq_idx": 277, "seq_len": 68, "time_since_start": [ 0.0, 0.03335648148148148, 0.2178240740740741, 0.6400462962962963, 1.573773148148148, 1.6922453703703704, 2.058101851851852, 2.4880787037037035, 2.6622685185185184, 3.160138888888889, 3.1663657407407406, 3.698263888888889, 4.196296296296296, 5.371296296296296, 5.438888888888889, 6.2689814814814815, 6.6268518518518515, 7.087962962962963, 8.620902777777777, 9.087268518518519, 9.19087962962963, 9.596064814814815, 9.602199074074074, 10.032800925925926, 10.153587962962963, 10.15451388888889, 11.197916666666666, 11.295601851851853, 11.901157407407407, 12.254861111111111, 12.920601851851853, 12.932361111111112, 12.99699074074074, 13.127546296296297, 13.623032407407408, 14.695601851851851, 15.140393518518518, 15.145601851851852, 15.215046296296297, 15.45486111111111, 15.461435185185184, 15.474768518518518, 15.493518518518519, 15.829375, 16.074467592592594, 16.43587962962963, 16.558796296296297, 16.720324074074075, 17.257106481481483, 17.56678240740741, 18.352314814814815, 18.353935185185186, 18.652546296296297, 19.085069444444443, 19.119212962962962, 19.869907407407407, 20.024768518518517, 20.12349537037037, 20.16900462962963, 20.566990740740742, 20.585949074074072, 20.63449074074074, 20.639606481481483, 20.96087962962963, 21.513194444444444, 21.88125, 22.068981481481483, 22.08587962962963 ], "time_since_last_event": [ 0.0, 0.03335648148148148, 0.1844675925925926, 0.4222222222222222, 0.9337268518518519, 0.11847222222222223, 0.3658564814814815, 0.42997685185185186, 0.17418981481481483, 0.49787037037037035, 0.0062268518518518515, 0.5318981481481482, 0.4980324074074074, 1.175, 0.06759259259259259, 0.8300925925925926, 0.3578703703703704, 0.46111111111111114, 1.5329398148148148, 0.4663657407407407, 0.10361111111111111, 0.4051851851851852, 0.0061342592592592594, 0.43060185185185185, 0.12078703703703704, 0.000925925925925926, 1.0434027777777777, 0.09768518518518518, 0.6055555555555555, 0.3537037037037037, 0.6657407407407407, 0.01175925925925926, 0.06462962962962963, 0.13055555555555556, 0.4954861111111111, 1.0725694444444445, 0.44479166666666664, 0.005208333333333333, 0.06944444444444445, 0.23981481481481481, 0.006574074074074074, 0.013333333333333334, 0.01875, 0.3358564814814815, 0.24509259259259258, 0.36141203703703706, 0.12291666666666666, 0.16152777777777777, 0.5367824074074075, 0.3096759259259259, 0.7855324074074074, 0.0016203703703703703, 0.2986111111111111, 0.43252314814814813, 0.03414351851851852, 0.7506944444444444, 0.15486111111111112, 0.09872685185185186, 0.045509259259259256, 0.3979861111111111, 0.018958333333333334, 0.048541666666666664, 0.005115740740740741, 0.32127314814814817, 0.5523148148148148, 0.3680555555555556, 0.18773148148148147, 0.016898148148148148 ], "type_event": [ 9, 8, 7, 0, 7, 11, 9, 0, 11, 11, 6, 6, 0, 0, 12, 0, 0, 11, 16, 0, 1, 9, 17, 0, 0, 0, 0, 3, 7, 0, 3, 0, 0, 3, 7, 7, 14, 0, 7, 0, 11, 7, 0, 0, 4, 7, 16, 16, 6, 0, 0, 7, 0, 0, 0, 6, 1, 16, 1, 7, 9, 0, 4, 4, 11, 0, 9, 9 ], "type_text": [ "Assault", "Other Offense", "Battery", "Theft", "Battery", "Robbery", "Assault", "Theft", "Robbery", "Robbery", "Criminal Damage", "Criminal Damage", "Theft", "Theft", "Arson", "Theft", "Theft", "Robbery", "Narcotics", "Theft", "Weapons Violation", "Assault", "Stalking", "Theft", "Theft", "Theft", "Theft", "Deceptive Practice", "Battery", "Theft", "Deceptive Practice", "Theft", "Theft", "Deceptive Practice", "Battery", "Battery", "Criminal Sexual Assault", "Theft", "Battery", "Theft", "Robbery", "Battery", "Theft", "Theft", "Motor Vehicle Theft", "Battery", "Narcotics", "Narcotics", "Criminal Damage", "Theft", "Theft", "Battery", "Theft", "Theft", "Theft", "Criminal Damage", "Weapons Violation", "Narcotics", "Weapons Violation", "Battery", "Assault", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Robbery", "Theft", "Assault", "Assault" ], "description": "The sequence of crime incidents shows a progression of various crime types over time, with certain types appearing more frequently at different intervals. Initially, assaults and other offenses are reported, followed by a mix of batteries, thefts, and robberies. As time progresses, theft becomes the predominant crime type, particularly in the later months, while incidents of robbery and battery also continue to occur but with less frequency. Additionally, there are clusters of criminal damage and narcotics offenses towards the middle of the timeline, with a notable rise in weapons violations and motor vehicle thefts in the latter part of the sequence. Overall, the data indicates a trend of increasing theft incidents over time, alongside a consistent presence of violent crimes such as assault and battery." }, { "dim_process": 20, "seq_idx": 278, "seq_len": 37, "time_since_start": [ 0.0, 0.38483796296296297, 1.2244212962962964, 2.1889351851851853, 2.422337962962963, 3.8561805555555555, 4.255092592592592, 5.209722222222222, 5.300925925925926, 5.444467592592592, 5.53900462962963, 6.201597222222222, 7.555625, 7.752893518518518, 8.129282407407407, 8.378587962962962, 10.015069444444444, 10.695717592592592, 11.139027777777779, 12.43414351851852, 12.92650462962963, 13.684606481481481, 14.030671296296296, 14.23263888888889, 14.291412037037038, 14.322430555555556, 14.610300925925927, 15.705671296296297, 15.727777777777778, 20.095555555555556, 20.13900462962963, 20.470949074074074, 20.86261574074074, 21.88300925925926, 22.06400462962963, 22.697337962962962, 22.825694444444444 ], "time_since_last_event": [ 0.0, 0.38483796296296297, 0.8395833333333333, 0.9645138888888889, 0.23340277777777776, 1.4338425925925926, 0.39891203703703704, 0.9546296296296296, 0.0912037037037037, 0.14354166666666668, 0.09453703703703703, 0.6625925925925926, 1.3540277777777778, 0.1972685185185185, 0.3763888888888889, 0.24930555555555556, 1.6364814814814814, 0.6806481481481481, 0.44331018518518517, 1.2951157407407408, 0.49236111111111114, 0.7581018518518519, 0.3460648148148148, 0.2019675925925926, 0.05877314814814815, 0.031018518518518518, 0.2878703703703704, 1.0953703703703703, 0.02210648148148148, 4.3677777777777775, 0.04344907407407408, 0.33194444444444443, 0.39166666666666666, 1.0203935185185184, 0.18099537037037036, 0.6333333333333333, 0.1283564814814815 ], "type_event": [ 7, 3, 8, 8, 3, 8, 0, 6, 0, 6, 6, 5, 0, 4, 6, 9, 6, 0, 7, 4, 4, 7, 7, 0, 0, 1, 7, 4, 0, 7, 3, 7, 0, 8, 6, 9, 8 ], "type_text": [ "Battery", "Deceptive Practice", "Other Offense", "Other Offense", "Deceptive Practice", "Other Offense", "Theft", "Criminal Damage", "Theft", "Criminal Damage", "Criminal Damage", "Criminal Trespass", "Theft", "Motor Vehicle Theft", "Criminal Damage", "Assault", "Criminal Damage", "Theft", "Battery", "Motor Vehicle Theft", "Motor Vehicle Theft", "Battery", "Battery", "Theft", "Theft", "Weapons Violation", "Battery", "Motor Vehicle Theft", "Theft", "Battery", "Deceptive Practice", "Battery", "Theft", "Other Offense", "Criminal Damage", "Assault", "Other Offense" ], "description": "The sequence of crime incidents shows a gradual increase in the variety and frequency of offenses over time. Initially, incidents such as Battery and Deceptive Practice appear early in the timeline, followed by a clustering of Other Offenses within the first few months. As time progresses, Theft and Criminal Damage become more prevalent, particularly around the mid-point of the timeline, with multiple incidents occurring in close succession. Towards the end of the sequence, there is a notable resurgence of Battery incidents along with continued occurrences of Theft and Motor Vehicle Theft, indicating a sustained pattern of these offenses." }, { "dim_process": 20, "seq_idx": 279, "seq_len": 33, "time_since_start": [ 0.0, 0.43766203703703704, 0.8282407407407407, 2.3591435185185183, 2.5570601851851853, 3.0414351851851853, 6.039351851851852, 6.886574074074074, 6.9706018518518515, 7.141435185185185, 7.3118287037037035, 7.9081018518518515, 8.610879629629629, 8.84212962962963, 9.89074074074074, 9.99074074074074, 11.179652777777777, 11.232407407407408, 11.90324074074074, 13.208101851851852, 13.999074074074073, 14.267129629629629, 15.122916666666667, 15.705416666666666, 17.297337962962963, 17.50324074074074, 17.69351851851852, 18.314351851851853, 18.389351851851853, 19.029351851851853, 21.180324074074075, 21.59664351851852, 22.23761574074074 ], "time_since_last_event": [ 0.0, 0.43766203703703704, 0.3905787037037037, 1.5309027777777777, 0.19791666666666666, 0.484375, 2.997916666666667, 0.8472222222222222, 0.08402777777777778, 0.17083333333333334, 0.17039351851851853, 0.5962731481481481, 0.7027777777777777, 0.23125, 1.0486111111111112, 0.1, 1.188912037037037, 0.05275462962962963, 0.6708333333333333, 1.304861111111111, 0.7909722222222222, 0.26805555555555555, 0.8557870370370371, 0.5825, 1.5919212962962963, 0.20590277777777777, 0.19027777777777777, 0.6208333333333333, 0.075, 0.64, 2.1509722222222223, 0.41631944444444446, 0.6409722222222223 ], "type_event": [ 3, 3, 3, 6, 0, 9, 3, 14, 3, 3, 1, 9, 3, 3, 3, 3, 3, 0, 0, 3, 7, 0, 7, 11, 3, 3, 3, 0, 0, 3, 3, 3, 3 ], "type_text": [ "Deceptive Practice", "Deceptive Practice", "Deceptive Practice", "Criminal Damage", "Theft", "Assault", "Deceptive Practice", "Criminal Sexual Assault", "Deceptive Practice", "Deceptive Practice", "Weapons Violation", "Assault", "Deceptive Practice", "Deceptive Practice", "Deceptive Practice", "Deceptive Practice", "Deceptive Practice", "Theft", "Theft", "Deceptive Practice", "Battery", "Theft", "Battery", "Robbery", "Deceptive Practice", "Deceptive Practice", "Deceptive Practice", "Theft", "Theft", "Deceptive Practice", "Deceptive Practice", "Deceptive Practice", "Deceptive Practice" ], "description": "The sequence of crime incidents begins with a series of Deceptive Practices occurring frequently in the initial months, followed by a mix of Criminal Damage and Theft. Assaults appear later in the timeline, interspersed with additional Deceptive Practices. As the sequence progresses, there is a notable increase in the variety of crime types, including Weapons Violations, Criminal Sexual Assault, and Robbery, while Deceptive Practices continue to be reported consistently throughout the timeline. The latter months show a clustering of Theft incidents, indicating a potential shift in the types of crimes occurring." }, { "dim_process": 20, "seq_idx": 280, "seq_len": 31, "time_since_start": [ 0.0, 1.4055555555555554, 1.629699074074074, 2.9559027777777778, 3.0989583333333335, 3.600810185185185, 3.6397222222222223, 4.511481481481481, 4.707962962962963, 4.872569444444444, 5.199884259259259, 6.110069444444444, 6.411458333333333, 6.699652777777778, 6.857291666666667, 7.003125, 7.378148148148148, 8.12136574074074, 9.163703703703703, 9.223263888888889, 10.268402777777778, 13.374652777777778, 13.835069444444445, 14.269791666666666, 14.744791666666666, 16.138333333333332, 16.240625, 16.705208333333335, 19.01849537037037, 19.850231481481483, 21.19349537037037 ], "time_since_last_event": [ 0.0, 1.4055555555555554, 0.22414351851851852, 1.3262037037037038, 0.14305555555555555, 0.5018518518518519, 0.03891203703703704, 0.8717592592592592, 0.19648148148148148, 0.1646064814814815, 0.32731481481481484, 0.9101851851851852, 0.3013888888888889, 0.2881944444444444, 0.15763888888888888, 0.14583333333333334, 0.37502314814814813, 0.7432175925925926, 1.042337962962963, 0.05956018518518519, 1.0451388888888888, 3.10625, 0.46041666666666664, 0.43472222222222223, 0.475, 1.3935416666666667, 0.10229166666666667, 0.46458333333333335, 2.313287037037037, 0.8317361111111111, 1.3432638888888888 ], "type_event": [ 7, 11, 11, 8, 4, 8, 8, 4, 8, 4, 9, 0, 8, 4, 4, 0, 6, 0, 19, 4, 0, 4, 4, 0, 4, 16, 6, 6, 6, 7, 7 ], "type_text": [ "Battery", "Robbery", "Robbery", "Other Offense", "Motor Vehicle Theft", "Other Offense", "Other Offense", "Motor Vehicle Theft", "Other Offense", "Motor Vehicle Theft", "Assault", "Theft", "Other Offense", "Motor Vehicle Theft", "Motor Vehicle Theft", "Theft", "Criminal Damage", "Theft", "Homicide", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Narcotics", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Battery", "Battery" ], "description": "The sequence of crime incidents in Chicago begins with battery and robbery occurring within the first few months, followed by a mix of other offenses and motor vehicle thefts in the subsequent months. Motor vehicle thefts appear frequently, particularly clustered around the 3 to 14-month mark, while thefts also show a notable presence during this period. Towards the later months, there is a rise in criminal damage incidents, along with a significant homicide event, before returning to battery incidents. Overall, the sequence displays a pattern where certain crime types, like motor vehicle theft and theft, are more prevalent in the middle months, while violent crimes and criminal damage appear later in the timeline." }, { "dim_process": 20, "seq_idx": 281, "seq_len": 41, "time_since_start": [ 0.0, 3.202777777777778, 3.203472222222222, 3.740972222222222, 3.7423611111111112, 3.9270833333333335, 3.9418055555555553, 4.811111111111111, 5.76412037037037, 5.842361111111111, 5.895370370370371, 6.067245370370371, 6.067245370370371, 7.098587962962963, 7.119212962962963, 7.206689814814815, 7.219791666666667, 7.6097222222222225, 7.666412037037037, 8.609722222222222, 11.390162037037037, 11.601828703703704, 13.276643518518519, 13.562523148148149, 14.177314814814816, 14.307175925925925, 14.455324074074074, 15.100231481481481, 15.10599537037037, 15.778726851851852, 15.803009259259259, 16.214583333333334, 16.239398148148148, 17.20111111111111, 18.365879629629628, 19.66861111111111, 20.682407407407407, 21.366666666666667, 22.859328703703703, 22.96064814814815, 23.06400462962963 ], "time_since_last_event": [ 0.0, 3.202777777777778, 0.0006944444444444445, 0.5375, 0.001388888888888889, 0.18472222222222223, 0.014722222222222222, 0.8693055555555556, 0.9530092592592593, 0.07824074074074074, 0.053009259259259256, 0.171875, 0.0, 1.0313425925925925, 0.020625, 0.08747685185185185, 0.013101851851851852, 0.38993055555555556, 0.05668981481481482, 0.9433101851851852, 2.7804398148148146, 0.21166666666666667, 1.6748148148148148, 0.28587962962962965, 0.6147916666666666, 0.12986111111111112, 0.14814814814814814, 0.6449074074074074, 0.005763888888888889, 0.6727314814814814, 0.02428240740740741, 0.4115740740740741, 0.024814814814814814, 0.9617129629629629, 1.1647685185185186, 1.3027314814814814, 1.0137962962962963, 0.6842592592592592, 1.492662037037037, 0.10131944444444445, 0.10335648148148148 ], "type_event": [ 7, 7, 7, 7, 6, 9, 6, 7, 7, 7, 8, 6, 1, 16, 4, 1, 4, 11, 1, 2, 7, 7, 7, 6, 6, 7, 9, 8, 8, 7, 11, 3, 16, 7, 0, 6, 8, 7, 9, 7, 9 ], "type_text": [ "Battery", "Battery", "Battery", "Battery", "Criminal Damage", "Assault", "Criminal Damage", "Battery", "Battery", "Battery", "Other Offense", "Criminal Damage", "Weapons Violation", "Narcotics", "Motor Vehicle Theft", "Weapons Violation", "Motor Vehicle Theft", "Robbery", "Weapons Violation", "Sex Offense", "Battery", "Battery", "Battery", "Criminal Damage", "Criminal Damage", "Battery", "Assault", "Other Offense", "Other Offense", "Battery", "Robbery", "Deceptive Practice", "Narcotics", "Battery", "Theft", "Criminal Damage", "Other Offense", "Battery", "Assault", "Battery", "Assault" ], "description": "The sequence of crime incidents begins with a series of battery reports clustered in the early months, followed by a mix of criminal damage and assault incidents. As time progresses, there is a noticeable increase in the variety of crime types, including narcotics and motor vehicle theft, around the seven-month mark. Battery incidents continue to appear intermittently throughout the sequence, with a resurgence in the later months alongside other offenses such as robbery and theft. Overall, the data shows an initial concentration of battery incidents, followed by a diversification of crime types as time advances." }, { "dim_process": 20, "seq_idx": 282, "seq_len": 34, "time_since_start": [ 0.0, 1.2999074074074075, 1.620162037037037, 1.860324074074074, 2.6868287037037035, 2.816689814814815, 3.118773148148148, 3.5675462962962965, 4.426203703703703, 4.439606481481482, 5.021898148148148, 5.168703703703704, 5.64, 6.496550925925926, 7.831273148148148, 8.074328703703705, 8.826064814814815, 9.186481481481481, 9.502106481481482, 10.180578703703704, 13.192615740740742, 14.165300925925926, 14.700717592592593, 15.42, 16.028495370370372, 16.034050925925925, 16.08335648148148, 16.898310185185185, 17.185671296296295, 18.149907407407408, 18.820162037037036, 20.46877314814815, 20.652106481481482, 21.425717592592594 ], "time_since_last_event": [ 0.0, 1.2999074074074075, 0.32025462962962964, 0.24016203703703703, 0.8265046296296297, 0.12986111111111112, 0.3020833333333333, 0.44877314814814817, 0.8586574074074074, 0.013402777777777777, 0.5822916666666667, 0.14680555555555555, 0.47129629629629627, 0.856550925925926, 1.3347222222222221, 0.24305555555555555, 0.7517361111111112, 0.36041666666666666, 0.315625, 0.6784722222222223, 3.012037037037037, 0.9726851851851852, 0.5354166666666667, 0.7192824074074075, 0.6084953703703704, 0.005555555555555556, 0.049305555555555554, 0.8149537037037037, 0.2873611111111111, 0.9642361111111111, 0.6702546296296297, 1.648611111111111, 0.18333333333333332, 0.7736111111111111 ], "type_event": [ 9, 0, 6, 19, 0, 9, 3, 7, 7, 0, 7, 1, 0, 4, 4, 0, 4, 4, 4, 0, 7, 6, 4, 7, 9, 7, 7, 7, 7, 9, 3, 0, 4, 4 ], "type_text": [ "Assault", "Theft", "Criminal Damage", "Homicide", "Theft", "Assault", "Deceptive Practice", "Battery", "Battery", "Theft", "Battery", "Weapons Violation", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Theft", "Battery", "Criminal Damage", "Motor Vehicle Theft", "Battery", "Assault", "Battery", "Battery", "Battery", "Battery", "Assault", "Deceptive Practice", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft" ], "description": "The sequence of crime incidents in the block shows a varied pattern over time, with certain types of crimes occurring more frequently at specific intervals. Assaults and batteries appear early in the timeline, while thefts and motor vehicle thefts become more prevalent in the later months. Criminal damage and homicide are noted in the early stages, whereas deceptive practices are reported intermittently throughout the timeline. The data indicates a clustering of motor vehicle thefts towards the end of the sequence, suggesting a notable increase in this crime type as time progresses." }, { "dim_process": 20, "seq_idx": 283, "seq_len": 36, "time_since_start": [ 0.0, 0.4966203703703704, 0.969212962962963, 2.9625925925925927, 4.819768518518519, 6.257615740740741, 6.443402777777778, 7.199976851851852, 7.233310185185185, 7.433194444444444, 8.014791666666667, 8.78875, 9.211782407407407, 9.214560185185185, 9.413773148148149, 9.478333333333333, 9.51212962962963, 9.734930555555556, 9.75798611111111, 9.936203703703704, 9.959699074074074, 10.63585648148148, 10.910393518518518, 12.151875, 13.285023148148149, 14.519421296296295, 15.205069444444444, 15.556574074074074, 16.083310185185184, 17.15476851851852, 18.193726851851853, 18.20275462962963, 18.236087962962962, 18.883425925925927, 18.88886574074074, 22.744421296296295 ], "time_since_last_event": [ 0.0, 0.4966203703703704, 0.4725925925925926, 1.9933796296296296, 1.857175925925926, 1.4378472222222223, 0.18578703703703703, 0.7565740740740741, 0.03333333333333333, 0.19988425925925926, 0.5815972222222222, 0.7739583333333333, 0.4230324074074074, 0.002777777777777778, 0.19921296296296295, 0.06456018518518518, 0.033796296296296297, 0.22280092592592593, 0.023055555555555555, 0.1782175925925926, 0.02349537037037037, 0.6761574074074074, 0.274537037037037, 1.2414814814814814, 1.1331481481481482, 1.234398148148148, 0.6856481481481481, 0.35150462962962964, 0.5267361111111111, 1.0714583333333334, 1.0389583333333334, 0.009027777777777777, 0.03333333333333333, 0.647337962962963, 0.005439814814814815, 3.8555555555555556 ], "type_event": [ 10, 0, 11, 0, 0, 6, 0, 5, 0, 9, 0, 11, 0, 0, 0, 0, 0, 7, 2, 6, 6, 10, 3, 0, 5, 0, 11, 7, 3, 0, 12, 10, 11, 1, 6, 3 ], "type_text": [ "Burglary", "Theft", "Robbery", "Theft", "Theft", "Criminal Damage", "Theft", "Criminal Trespass", "Theft", "Assault", "Theft", "Robbery", "Theft", "Theft", "Theft", "Theft", "Theft", "Battery", "Sex Offense", "Criminal Damage", "Criminal Damage", "Burglary", "Deceptive Practice", "Theft", "Criminal Trespass", "Theft", "Robbery", "Battery", "Deceptive Practice", "Theft", "Arson", "Burglary", "Robbery", "Weapons Violation", "Criminal Damage", "Deceptive Practice" ], "description": "The sequence of crime incidents begins with a burglary and theft occurring within the first month, followed by a robbery shortly after. Theft incidents are notably frequent and cluster around the 2 to 10-month mark, with several occurring in close succession. Criminal damage and trespassing incidents emerge around the 6 to 9-month range, while more serious offenses like robbery and assault appear later in the timeline. The sequence also shows a resurgence of burglaries and robberies around the 18-month mark, alongside other offenses such as arson and weapons violations, indicating a varied pattern of crime types over time." }, { "dim_process": 20, "seq_idx": 284, "seq_len": 41, "time_since_start": [ 0.0, 0.06643518518518518, 0.697662037037037, 1.2582175925925927, 1.3972222222222221, 4.168865740740741, 4.354861111111111, 4.601597222222222, 4.937268518518518, 5.201388888888889, 6.733333333333333, 7.05474537037037, 7.057638888888889, 7.061805555555556, 7.793055555555555, 7.830208333333333, 7.854513888888889, 7.925462962962963, 11.100439814814814, 11.625231481481482, 12.372222222222222, 12.42400462962963, 12.564976851851851, 12.684722222222222, 12.879166666666666, 14.782638888888888, 15.853472222222223, 16.432083333333335, 16.466689814814814, 16.585162037037037, 17.654166666666665, 17.81599537037037, 18.7125, 19.09861111111111, 20.482175925925926, 20.677407407407408, 21.211111111111112, 21.219444444444445, 21.45625, 22.134722222222223, 22.269444444444446 ], "time_since_last_event": [ 0.0, 0.06643518518518518, 0.6312268518518519, 0.5605555555555556, 0.13900462962962962, 2.7716435185185184, 0.18599537037037037, 0.2467361111111111, 0.3356712962962963, 0.2641203703703704, 1.5319444444444446, 0.321412037037037, 0.0028935185185185184, 0.004166666666666667, 0.73125, 0.03715277777777778, 0.024305555555555556, 0.07094907407407407, 3.1749768518518517, 0.5247916666666667, 0.7469907407407408, 0.05178240740740741, 0.14097222222222222, 0.11974537037037038, 0.19444444444444445, 1.9034722222222222, 1.0708333333333333, 0.5786111111111111, 0.03460648148148148, 0.11847222222222223, 1.0690046296296296, 0.1618287037037037, 0.8965046296296296, 0.3861111111111111, 1.3835648148148147, 0.19523148148148148, 0.5337037037037037, 0.008333333333333333, 0.23680555555555555, 0.6784722222222223, 0.13472222222222222 ], "type_event": [ 7, 6, 6, 7, 8, 6, 8, 7, 11, 7, 7, 4, 6, 6, 4, 0, 9, 4, 7, 11, 7, 9, 7, 9, 4, 0, 8, 1, 6, 1, 4, 10, 8, 4, 0, 6, 4, 7, 4, 8, 0 ], "type_text": [ "Battery", "Criminal Damage", "Criminal Damage", "Battery", "Other Offense", "Criminal Damage", "Other Offense", "Battery", "Robbery", "Battery", "Battery", "Motor Vehicle Theft", "Criminal Damage", "Criminal Damage", "Motor Vehicle Theft", "Theft", "Assault", "Motor Vehicle Theft", "Battery", "Robbery", "Battery", "Assault", "Battery", "Assault", "Motor Vehicle Theft", "Theft", "Other Offense", "Weapons Violation", "Criminal Damage", "Weapons Violation", "Motor Vehicle Theft", "Burglary", "Other Offense", "Motor Vehicle Theft", "Theft", "Criminal Damage", "Motor Vehicle Theft", "Battery", "Motor Vehicle Theft", "Other Offense", "Theft" ], "description": "The sequence of crime incidents shows a varied pattern over time, with distinct clusters of certain crime types. Initially, battery and criminal damage incidents occur relatively close together in the early months, followed by a rise in other offenses and robberies around the four-month mark. As time progresses, there is a notable increase in motor vehicle thefts, particularly between the seven and twenty-month marks, while battery incidents appear intermittently throughout the sequence. Other offenses and thefts also appear in the latter months, indicating a diverse range of incidents occurring as time advances." }, { "dim_process": 20, "seq_idx": 285, "seq_len": 39, "time_since_start": [ 0.0, 0.08513888888888889, 0.6938657407407407, 1.4963657407407407, 2.618472222222222, 3.18525462962963, 3.486990740740741, 3.5366435185185185, 3.7598148148148147, 3.823912037037037, 3.915810185185185, 4.864421296296296, 4.983773148148148, 5.653078703703704, 5.950532407407407, 6.103310185185185, 6.203449074074074, 6.336643518518518, 8.593310185185185, 8.84636574074074, 8.91824074074074, 9.163726851851852, 9.422060185185185, 10.05539351851852, 12.054699074074074, 12.423981481481482, 13.174837962962963, 13.269490740740741, 13.312106481481482, 13.529467592592592, 15.69775462962963, 16.624375, 18.36347222222222, 18.501458333333332, 18.533171296296295, 18.831087962962965, 20.48664351851852, 20.776921296296297, 22.836643518518517 ], "time_since_last_event": [ 0.0, 0.08513888888888889, 0.6087268518518518, 0.8025, 1.1221064814814814, 0.5667824074074074, 0.3017361111111111, 0.049652777777777775, 0.22317129629629628, 0.06409722222222222, 0.09189814814814815, 0.9486111111111111, 0.11935185185185185, 0.6693055555555556, 0.2974537037037037, 0.1527777777777778, 0.10013888888888889, 0.13319444444444445, 2.256666666666667, 0.25305555555555553, 0.071875, 0.2454861111111111, 0.25833333333333336, 0.6333333333333333, 1.9993055555555554, 0.3692824074074074, 0.7508564814814814, 0.09465277777777778, 0.04261574074074074, 0.21736111111111112, 2.168287037037037, 0.9266203703703704, 1.7390972222222223, 0.13798611111111111, 0.031712962962962964, 0.29791666666666666, 1.6555555555555554, 0.2902777777777778, 2.0597222222222222 ], "type_event": [ 9, 11, 9, 4, 9, 6, 1, 4, 9, 3, 9, 0, 8, 9, 0, 9, 7, 0, 9, 6, 5, 11, 7, 3, 5, 7, 6, 5, 7, 5, 11, 0, 7, 5, 9, 11, 0, 6, 6 ], "type_text": [ "Assault", "Robbery", "Assault", "Motor Vehicle Theft", "Assault", "Criminal Damage", "Weapons Violation", "Motor Vehicle Theft", "Assault", "Deceptive Practice", "Assault", "Theft", "Other Offense", "Assault", "Theft", "Assault", "Battery", "Theft", "Assault", "Criminal Damage", "Criminal Trespass", "Robbery", "Battery", "Deceptive Practice", "Criminal Trespass", "Battery", "Criminal Damage", "Criminal Trespass", "Battery", "Criminal Trespass", "Robbery", "Theft", "Battery", "Criminal Trespass", "Assault", "Robbery", "Theft", "Criminal Damage", "Criminal Damage" ], "description": "The sequence of crime incidents begins with assaults and robberies occurring in the initial months, followed by a notable increase in assaults and motor vehicle thefts around the 1.5 to 4-month mark. As time progresses, there is a clustering of various offenses, including thefts and criminal damage, particularly between the 4 and 10-month periods. By the later months, the frequency of criminal trespass and battery incidents increases, with robberies also appearing intermittently. Overall, assaults are prevalent throughout the timeline, while other crime types tend to emerge in clusters at specific intervals." }, { "dim_process": 20, "seq_idx": 286, "seq_len": 40, "time_since_start": [ 0.0, 0.018055555555555554, 1.3805092592592592, 2.1590277777777778, 3.1552314814814815, 3.8550925925925927, 3.9836805555555554, 4.0650462962962965, 8.11736111111111, 8.750625, 9.7, 9.752777777777778, 10.88125, 10.949050925925926, 12.355555555555556, 13.024421296296296, 13.283333333333333, 13.92175925925926, 13.923263888888888, 14.01875, 14.715277777777779, 14.947222222222223, 15.150092592592593, 15.983310185185186, 16.286805555555556, 16.814930555555556, 17.50138888888889, 17.869675925925925, 18.84340277777778, 19.027083333333334, 19.515763888888888, 19.822407407407407, 20.0875, 20.25, 21.50486111111111, 21.96409722222222, 22.12423611111111, 22.149768518518517, 22.87986111111111, 22.98898148148148 ], "time_since_last_event": [ 0.0, 0.018055555555555554, 1.3624537037037037, 0.7785185185185185, 0.9962037037037037, 0.6998611111111112, 0.12858796296296296, 0.08136574074074074, 4.052314814814815, 0.6332638888888888, 0.949375, 0.05277777777777778, 1.1284722222222223, 0.06780092592592593, 1.4065046296296295, 0.6688657407407408, 0.258912037037037, 0.638425925925926, 0.0015046296296296296, 0.0954861111111111, 0.6965277777777777, 0.23194444444444445, 0.20287037037037037, 0.8332175925925925, 0.3034953703703704, 0.528125, 0.6864583333333333, 0.368287037037037, 0.9737268518518518, 0.18368055555555557, 0.48868055555555556, 0.3066435185185185, 0.2650925925925926, 0.1625, 1.2548611111111112, 0.4592361111111111, 0.1601388888888889, 0.025532407407407406, 0.7300925925925926, 0.10912037037037037 ], "type_event": [ 11, 6, 7, 4, 7, 7, 7, 7, 9, 7, 6, 7, 0, 7, 8, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 6, 0, 8, 6, 0, 15, 8, 7, 9, 6, 0, 7, 7, 8, 7 ], "type_text": [ "Robbery", "Criminal Damage", "Battery", "Motor Vehicle Theft", "Battery", "Battery", "Battery", "Battery", "Assault", "Battery", "Criminal Damage", "Battery", "Theft", "Battery", "Other Offense", "Battery", "Battery", "Battery", "Battery", "Battery", "Battery", "Battery", "Battery", "Battery", "Battery", "Criminal Damage", "Theft", "Other Offense", "Criminal Damage", "Theft", "Interference With Public Officer", "Other Offense", "Battery", "Assault", "Criminal Damage", "Theft", "Battery", "Battery", "Other Offense", "Battery" ], "description": "The sequence of crime incidents shows a notable clustering of battery offenses, which occur frequently throughout the timeline, especially in the later months. Criminal damage incidents appear intermittently, with a slight increase in frequency towards the end of the sequence. Theft and other offenses are also present, but they are less frequent compared to battery incidents. Overall, the sequence begins with a variety of crime types but transitions into a predominance of battery incidents as time progresses." }, { "dim_process": 20, "seq_idx": 287, "seq_len": 39, "time_since_start": [ 0.0, 0.5642361111111112, 0.9025462962962963, 1.990162037037037, 3.1166666666666667, 4.143055555555556, 5.153935185185185, 5.888912037037037, 6.177777777777778, 6.773611111111111, 6.9037037037037035, 6.905555555555556, 7.665972222222222, 7.971180555555556, 8.755787037037036, 9.026388888888889, 9.519444444444444, 10.248611111111112, 10.541944444444445, 10.622222222222222, 12.180208333333333, 12.80587962962963, 13.449004629629629, 13.507685185185185, 14.410416666666666, 15.911111111111111, 16.072152777777777, 17.143055555555556, 17.65138888888889, 18.46775462962963, 18.911805555555556, 19.1375, 19.804166666666667, 19.810648148148147, 20.384375, 20.46759259259259, 20.866666666666667, 21.752800925925925, 22.40972222222222 ], "time_since_last_event": [ 0.0, 0.5642361111111112, 0.3383101851851852, 1.0876157407407407, 1.1265046296296297, 1.0263888888888888, 1.0108796296296296, 0.7349768518518518, 0.28886574074074073, 0.5958333333333333, 0.1300925925925926, 0.001851851851851852, 0.7604166666666666, 0.30520833333333336, 0.7846064814814815, 0.27060185185185187, 0.4930555555555556, 0.7291666666666666, 0.29333333333333333, 0.08027777777777778, 1.557986111111111, 0.6256712962962963, 0.643125, 0.058680555555555555, 0.9027314814814815, 1.5006944444444446, 0.16104166666666667, 1.0709027777777778, 0.5083333333333333, 0.8163657407407408, 0.44405092592592593, 0.22569444444444445, 0.6666666666666666, 0.006481481481481481, 0.5737268518518519, 0.08321759259259259, 0.3990740740740741, 0.8861342592592593, 0.6569212962962963 ], "type_event": [ 6, 6, 9, 0, 7, 7, 6, 4, 4, 0, 7, 4, 11, 4, 7, 16, 6, 6, 0, 7, 4, 9, 0, 7, 7, 3, 7, 3, 0, 6, 9, 7, 3, 7, 6, 11, 4, 5, 11 ], "type_text": [ "Criminal Damage", "Criminal Damage", "Assault", "Theft", "Battery", "Battery", "Criminal Damage", "Motor Vehicle Theft", "Motor Vehicle Theft", "Theft", "Battery", "Motor Vehicle Theft", "Robbery", "Motor Vehicle Theft", "Battery", "Narcotics", "Criminal Damage", "Criminal Damage", "Theft", "Battery", "Motor Vehicle Theft", "Assault", "Theft", "Battery", "Battery", "Deceptive Practice", "Battery", "Deceptive Practice", "Theft", "Criminal Damage", "Assault", "Battery", "Deceptive Practice", "Battery", "Criminal Damage", "Robbery", "Motor Vehicle Theft", "Criminal Trespass", "Robbery" ], "description": "The sequence of crime incidents shows a pattern where Criminal Damage is reported early on, occurring multiple times in the first few months. Assault and Theft incidents also appear relatively early, with a notable increase in Battery occurrences around the six to eight-month mark. Motor Vehicle Theft incidents cluster around the six to eight-month period, while Robbery incidents appear later, particularly between the 20th and 22nd months. Deceptive Practices emerge intermittently in the latter half of the timeline, suggesting a diverse range of crime types throughout the sequence." }, { "dim_process": 20, "seq_idx": 288, "seq_len": 59, "time_since_start": [ 0.0, 0.1525462962962963, 0.2826388888888889, 1.5923611111111111, 1.5923611111111111, 1.6434953703703703, 1.804837962962963, 1.8680555555555556, 2.083101851851852, 2.536875, 3.288240740740741, 4.73011574074074, 5.013888888888889, 5.1004861111111115, 5.495601851851852, 7.499282407407407, 7.593055555555556, 7.62724537037037, 7.775, 8.449652777777779, 9.166203703703705, 9.19537037037037, 9.856087962962963, 10.013726851851851, 10.915046296296296, 11.172222222222222, 11.351018518518519, 11.371527777777779, 11.468055555555555, 12.248842592592593, 13.747222222222222, 14.315277777777778, 15.008217592592592, 15.227546296296296, 15.685092592592593, 16.42222222222222, 16.624305555555555, 16.701921296296295, 16.707337962962963, 16.76622685185185, 18.25347222222222, 18.669675925925926, 18.708819444444444, 19.183310185185185, 19.375925925925927, 19.381944444444443, 19.743819444444444, 20.223842592592593, 20.517777777777777, 20.635833333333334, 20.71587962962963, 20.72766203703704, 20.897106481481483, 21.16777777777778, 22.733541666666667, 22.848587962962963, 23.643935185185185, 23.649305555555557, 23.658101851851853 ], "time_since_last_event": [ 0.0, 0.1525462962962963, 0.1300925925925926, 1.3097222222222222, 0.0, 0.05113425925925926, 0.1613425925925926, 0.06321759259259259, 0.2150462962962963, 0.4537731481481482, 0.7513657407407407, 1.441875, 0.28377314814814814, 0.08659722222222223, 0.39511574074074074, 2.0036805555555555, 0.09377314814814815, 0.03418981481481481, 0.14775462962962962, 0.6746527777777778, 0.716550925925926, 0.029166666666666667, 0.6607175925925926, 0.15763888888888888, 0.9013194444444445, 0.2571759259259259, 0.1787962962962963, 0.02050925925925926, 0.09652777777777778, 0.780787037037037, 1.4983796296296297, 0.5680555555555555, 0.6929398148148148, 0.2193287037037037, 0.4575462962962963, 0.7371296296296296, 0.20208333333333334, 0.07761574074074074, 0.005416666666666667, 0.058888888888888886, 1.4872453703703703, 0.4162037037037037, 0.03914351851851852, 0.47449074074074077, 0.19261574074074075, 0.0060185185185185185, 0.361875, 0.48002314814814817, 0.2939351851851852, 0.11805555555555555, 0.0800462962962963, 0.011782407407407408, 0.16944444444444445, 0.27067129629629627, 1.565763888888889, 0.1150462962962963, 0.7953472222222222, 0.00537037037037037, 0.008796296296296297 ], "type_event": [ 9, 5, 4, 3, 0, 1, 7, 7, 1, 0, 10, 4, 11, 7, 9, 9, 0, 7, 9, 0, 0, 9, 9, 1, 0, 0, 9, 9, 7, 9, 9, 0, 0, 7, 6, 6, 7, 16, 7, 7, 0, 1, 7, 0, 9, 7, 8, 0, 9, 0, 7, 7, 6, 1, 9, 6, 7, 6, 6 ], "type_text": [ "Assault", "Criminal Trespass", "Motor Vehicle Theft", "Deceptive Practice", "Theft", "Weapons Violation", "Battery", "Battery", "Weapons Violation", "Theft", "Burglary", "Motor Vehicle Theft", "Robbery", "Battery", "Assault", "Assault", "Theft", "Battery", "Assault", "Theft", "Theft", "Assault", "Assault", "Weapons Violation", "Theft", "Theft", "Assault", "Assault", "Battery", "Assault", "Assault", "Theft", "Theft", "Battery", "Criminal Damage", "Criminal Damage", "Battery", "Narcotics", "Battery", "Battery", "Theft", "Weapons Violation", "Battery", "Theft", "Assault", "Battery", "Other Offense", "Theft", "Assault", "Theft", "Battery", "Battery", "Criminal Damage", "Weapons Violation", "Assault", "Criminal Damage", "Battery", "Criminal Damage", "Criminal Damage" ], "description": "The sequence of crime incidents begins with assaults and criminal trespass occurring in the initial months, followed by a mix of motor vehicle thefts and various thefts that emerge around the one to two-month mark. As time progresses, there is a noticeable increase in battery incidents and weapons violations, particularly between the one and two-year marks. The later months see a clustering of thefts, assaults, and criminal damage incidents, indicating a sustained pattern of these crime types towards the end of the sequence. Overall, assaults and thefts are prominent throughout, with a significant number of incidents occurring in the latter half of the timeline." }, { "dim_process": 20, "seq_idx": 289, "seq_len": 31, "time_since_start": [ 0.0, 4.2444444444444445, 5.43787037037037, 6.224907407407407, 7.270393518518518, 8.768425925925927, 11.030925925925926, 11.192037037037037, 11.198981481481482, 11.257314814814816, 12.779004629629629, 13.866574074074075, 14.013564814814815, 14.02537037037037, 14.104537037037037, 14.131435185185186, 14.179930555555556, 14.629699074074074, 14.66148148148148, 15.018263888888889, 15.057314814814815, 15.266342592592592, 15.344861111111111, 15.652800925925925, 15.750370370370371, 15.913125, 18.057314814814816, 18.608703703703704, 20.17703703703704, 20.85037037037037, 22.303148148148146 ], "time_since_last_event": [ 0.0, 4.2444444444444445, 1.193425925925926, 0.7870370370370371, 1.0454861111111111, 1.4980324074074074, 2.2625, 0.16111111111111112, 0.006944444444444444, 0.058333333333333334, 1.5216898148148148, 1.0875694444444444, 0.14699074074074073, 0.011805555555555555, 0.07916666666666666, 0.026898148148148147, 0.04849537037037037, 0.4497685185185185, 0.031782407407407405, 0.3567824074074074, 0.039050925925925926, 0.20902777777777778, 0.07851851851851852, 0.3079398148148148, 0.09756944444444444, 0.16275462962962964, 2.1441898148148146, 0.5513888888888889, 1.5683333333333334, 0.6733333333333333, 1.4527777777777777 ], "type_event": [ 16, 7, 3, 18, 11, 6, 9, 8, 8, 6, 0, 7, 0, 0, 7, 14, 1, 7, 0, 9, 6, 1, 1, 7, 0, 6, 11, 3, 8, 3, 7 ], "type_text": [ "Narcotics", "Battery", "Deceptive Practice", "Public Peace Violation", "Robbery", "Criminal Damage", "Assault", "Other Offense", "Other Offense", "Criminal Damage", "Theft", "Battery", "Theft", "Theft", "Battery", "Criminal Sexual Assault", "Weapons Violation", "Battery", "Theft", "Assault", "Criminal Damage", "Weapons Violation", "Weapons Violation", "Battery", "Theft", "Criminal Damage", "Robbery", "Deceptive Practice", "Other Offense", "Deceptive Practice", "Battery" ], "description": "The sequence of crime incidents begins with narcotics-related offenses, followed by a series of violent and property crimes that increase in frequency over time. Battery and theft incidents appear multiple times, particularly clustered in the later months, suggesting a rise in these specific offenses. Other offense types, such as robbery and deceptive practices, also emerge but tend to occur less frequently. Overall, the timeline shows a gradual escalation in criminal activity, with a notable concentration of incidents occurring in the months approaching the 15-month mark." }, { "dim_process": 20, "seq_idx": 290, "seq_len": 31, "time_since_start": [ 0.0, 2.050925925925926, 2.586087962962963, 6.020509259259259, 6.745138888888889, 7.146226851851852, 8.71076388888889, 9.993402777777778, 10.111805555555556, 12.660416666666666, 12.93449074074074, 12.979328703703704, 13.193657407407407, 13.653171296296296, 13.865625, 15.665393518518519, 15.939814814814815, 16.227083333333333, 16.547824074074075, 17.189027777777778, 17.261805555555554, 17.63275462962963, 18.90912037037037, 19.793518518518518, 20.220092592592593, 20.297037037037036, 20.87986111111111, 21.740162037037038, 21.95460648148148, 22.849074074074075, 22.91722222222222 ], "time_since_last_event": [ 0.0, 2.050925925925926, 0.535162037037037, 3.4344212962962963, 0.7246296296296296, 0.40108796296296295, 1.564537037037037, 1.2826388888888889, 0.11840277777777777, 2.548611111111111, 0.2740740740740741, 0.04483796296296296, 0.21432870370370372, 0.4595138888888889, 0.2124537037037037, 1.7997685185185186, 0.2744212962962963, 0.28726851851851853, 0.3207407407407407, 0.6412037037037037, 0.07277777777777777, 0.37094907407407407, 1.2763657407407407, 0.8843981481481481, 0.42657407407407405, 0.07694444444444444, 0.5828240740740741, 0.8603009259259259, 0.21444444444444444, 0.8944675925925926, 0.06814814814814815 ], "type_event": [ 11, 3, 0, 1, 0, 16, 0, 4, 0, 0, 9, 0, 1, 11, 7, 4, 9, 3, 6, 18, 0, 11, 4, 0, 1, 1, 0, 0, 16, 9, 1 ], "type_text": [ "Robbery", "Deceptive Practice", "Theft", "Weapons Violation", "Theft", "Narcotics", "Theft", "Motor Vehicle Theft", "Theft", "Theft", "Assault", "Theft", "Weapons Violation", "Robbery", "Battery", "Motor Vehicle Theft", "Assault", "Deceptive Practice", "Criminal Damage", "Public Peace Violation", "Theft", "Robbery", "Motor Vehicle Theft", "Theft", "Weapons Violation", "Weapons Violation", "Theft", "Theft", "Narcotics", "Assault", "Weapons Violation" ], "description": "The sequence of crime incidents shows a variety of crime types occurring over time, with notable clustering of theft incidents, particularly in the later months. Initially, robbery and deceptive practices are reported, followed by a mix of thefts and other crimes. As time progresses, there is an increase in the frequency of thefts, alongside recurring incidents of weapons violations and assaults. The sequence also indicates a rise in motor vehicle thefts and a consistent presence of robbery incidents in the latter part of the timeline. Overall, the data reflects a pattern where certain crime types, especially theft, become more prevalent as time advances." }, { "dim_process": 20, "seq_idx": 291, "seq_len": 33, "time_since_start": [ 0.0, 0.0, 0.65625, 0.7173611111111111, 1.0666666666666667, 1.7184953703703705, 2.2375, 2.8673611111111112, 4.129398148148148, 4.197916666666667, 4.597916666666666, 6.6592824074074075, 7.051782407407408, 9.277314814814815, 9.406944444444445, 10.328472222222222, 10.673055555555555, 10.725347222222222, 10.918055555555556, 10.973958333333334, 12.298958333333333, 13.857592592592592, 14.387962962962963, 15.30050925925926, 16.004583333333333, 16.55, 19.396898148148146, 20.290277777777778, 20.485416666666666, 21.029166666666665, 22.406944444444445, 22.759027777777778, 22.825 ], "time_since_last_event": [ 0.0, 0.0, 0.65625, 0.06111111111111111, 0.34930555555555554, 0.6518287037037037, 0.5190046296296297, 0.6298611111111111, 1.262037037037037, 0.06851851851851852, 0.4, 2.0613657407407406, 0.3925, 2.225532407407407, 0.12962962962962962, 0.9215277777777777, 0.34458333333333335, 0.05229166666666667, 0.19270833333333334, 0.05590277777777778, 1.325, 1.5586342592592592, 0.5303703703703704, 0.9125462962962962, 0.7040740740740741, 0.5454166666666667, 2.8468981481481483, 0.8933796296296296, 0.1951388888888889, 0.54375, 1.3777777777777778, 0.35208333333333336, 0.06597222222222222 ], "type_event": [ 6, 0, 7, 4, 3, 6, 6, 7, 13, 0, 4, 3, 7, 9, 4, 0, 4, 9, 0, 11, 6, 3, 3, 7, 8, 6, 7, 0, 4, 4, 4, 7, 6 ], "type_text": [ "Criminal Damage", "Theft", "Battery", "Motor Vehicle Theft", "Deceptive Practice", "Criminal Damage", "Criminal Damage", "Battery", "Offense Involving Children", "Theft", "Motor Vehicle Theft", "Deceptive Practice", "Battery", "Assault", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Assault", "Theft", "Robbery", "Criminal Damage", "Deceptive Practice", "Deceptive Practice", "Battery", "Other Offense", "Criminal Damage", "Battery", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Battery", "Criminal Damage" ], "description": "The sequence of crime incidents begins with Criminal Damage and Theft occurring simultaneously at the start, followed by a mix of Battery and Motor Vehicle Theft shortly thereafter. Over time, Criminal Damage appears multiple times, particularly clustered in the earlier months, while Deceptive Practices and various forms of Theft increase in frequency as the timeline progresses. Battery incidents also show a notable presence, especially in the latter half of the sequence, alongside a rise in Motor Vehicle Theft incidents, which peak towards the end. Overall, there is a trend of increasing complexity in the types of crimes reported as time advances, with certain crime types, like Motor Vehicle Theft, becoming more prevalent in the later months." }, { "dim_process": 20, "seq_idx": 292, "seq_len": 33, "time_since_start": [ 0.0, 0.13541666666666666, 0.8607638888888889, 2.234490740740741, 2.23625, 2.510648148148148, 2.5701388888888888, 2.7576388888888888, 3.359490740740741, 3.5416666666666665, 3.792175925925926, 3.8256944444444443, 4.606481481481482, 4.698263888888889, 5.492361111111111, 6.204861111111111, 6.5680555555555555, 6.881319444444444, 9.722916666666666, 10.037384259259259, 10.160185185185185, 12.495138888888889, 12.562962962962963, 14.271944444444445, 15.463796296296296, 16.965046296296297, 17.835416666666667, 18.468055555555555, 19.994791666666668, 20.199305555555554, 20.36548611111111, 22.31226851851852, 22.574305555555554 ], "time_since_last_event": [ 0.0, 0.13541666666666666, 0.7253472222222223, 1.373726851851852, 0.0017592592592592592, 0.27439814814814817, 0.05949074074074074, 0.1875, 0.6018518518518519, 0.18217592592592594, 0.25050925925925926, 0.03351851851851852, 0.780787037037037, 0.09178240740740741, 0.7940972222222222, 0.7125, 0.36319444444444443, 0.3132638888888889, 2.841597222222222, 0.3144675925925926, 0.12280092592592592, 2.334953703703704, 0.06782407407407408, 1.7089814814814814, 1.191851851851852, 1.50125, 0.8703703703703703, 0.6326388888888889, 1.526736111111111, 0.20451388888888888, 0.16618055555555555, 1.9467824074074074, 0.262037037037037 ], "type_event": [ 4, 0, 9, 11, 11, 9, 7, 3, 11, 7, 0, 9, 7, 7, 0, 11, 3, 0, 6, 4, 2, 0, 0, 0, 3, 7, 10, 6, 4, 7, 7, 4, 6 ], "type_text": [ "Motor Vehicle Theft", "Theft", "Assault", "Robbery", "Robbery", "Assault", "Battery", "Deceptive Practice", "Robbery", "Battery", "Theft", "Assault", "Battery", "Battery", "Theft", "Robbery", "Deceptive Practice", "Theft", "Criminal Damage", "Motor Vehicle Theft", "Sex Offense", "Theft", "Theft", "Theft", "Deceptive Practice", "Battery", "Burglary", "Criminal Damage", "Motor Vehicle Theft", "Battery", "Battery", "Motor Vehicle Theft", "Criminal Damage" ], "description": "The sequence of crime incidents shows a variety of crime types occurring over time, with certain patterns emerging. Initially, there are incidents of motor vehicle theft and theft, followed by a cluster of assaults and robberies occurring within a few months of each other. As time progresses, there is a noticeable increase in battery incidents, particularly in the middle of the timeline, followed by a resurgence of theft and deceptive practices. Toward the end of the sequence, motor vehicle theft reappears alongside criminal damage, indicating a potential clustering of these types of incidents in the later months." }, { "dim_process": 20, "seq_idx": 293, "seq_len": 75, "time_since_start": [ 0.0, 0.10821759259259259, 0.7212962962962963, 1.0824537037037036, 1.8015046296296295, 1.8219907407407407, 1.9358796296296297, 2.1011574074074075, 2.2331018518518517, 2.292361111111111, 2.3469907407407407, 2.582962962962963, 3.204375, 3.3763194444444444, 3.7122685185185187, 3.9226851851851854, 4.1340972222222225, 4.42224537037037, 4.536226851851852, 4.538657407407407, 4.75949074074074, 4.88125, 5.550416666666667, 5.807199074074074, 6.25949074074074, 6.610185185185185, 6.652546296296296, 7.015092592592593, 7.171990740740741, 7.218981481481482, 7.478935185185185, 7.578240740740741, 7.69699074074074, 7.778240740740741, 7.988194444444445, 8.241805555555555, 9.499768518518518, 9.89837962962963, 9.91724537037037, 10.37199074074074, 10.64699074074074, 10.75925925925926, 12.273773148148148, 13.001504629629629, 13.542361111111111, 14.451157407407408, 16.438171296296296, 16.795601851851853, 17.517824074074074, 17.61087962962963, 18.149768518518517, 18.271296296296295, 19.06974537037037, 19.35914351851852, 19.46087962962963, 19.63310185185185, 19.63310185185185, 19.75175925925926, 19.765625, 19.803703703703704, 19.844814814814814, 19.844837962962963, 20.084027777777777, 20.14490740740741, 20.294212962962963, 21.132638888888888, 21.342824074074073, 21.37337962962963, 21.40787037037037, 21.515046296296298, 21.82060185185185, 22.080787037037037, 23.515069444444446, 23.69909722222222, 23.742824074074075 ], "time_since_last_event": [ 0.0, 0.10821759259259259, 0.6130787037037037, 0.3611574074074074, 0.7190509259259259, 0.02048611111111111, 0.11388888888888889, 0.16527777777777777, 0.13194444444444445, 0.05925925925925926, 0.05462962962962963, 0.23597222222222222, 0.6214120370370371, 0.17194444444444446, 0.3359490740740741, 0.21041666666666667, 0.21141203703703704, 0.28814814814814815, 0.11398148148148148, 0.0024305555555555556, 0.22083333333333333, 0.12175925925925926, 0.6691666666666667, 0.25678240740740743, 0.45229166666666665, 0.3506944444444444, 0.04236111111111111, 0.3625462962962963, 0.15689814814814815, 0.04699074074074074, 0.2599537037037037, 0.09930555555555555, 0.11875, 0.08125, 0.2099537037037037, 0.2536111111111111, 1.257962962962963, 0.39861111111111114, 0.018865740740740742, 0.4547453703703704, 0.275, 0.11226851851851852, 1.514513888888889, 0.7277314814814815, 0.5408564814814815, 0.9087962962962963, 1.9870138888888889, 0.35743055555555553, 0.7222222222222222, 0.09305555555555556, 0.5388888888888889, 0.12152777777777778, 0.7984490740740741, 0.2893981481481481, 0.10173611111111111, 0.17222222222222222, 0.0, 0.1186574074074074, 0.013865740740740741, 0.038078703703703705, 0.04111111111111111, 2.3148148148148147e-05, 0.23918981481481483, 0.06087962962962963, 0.14930555555555555, 0.8384259259259259, 0.2101851851851852, 0.030555555555555555, 0.03449074074074074, 0.10717592592592592, 0.3055555555555556, 0.2601851851851852, 1.4342824074074074, 0.1840277777777778, 0.04372685185185185 ], "type_event": [ 7, 4, 7, 9, 7, 0, 0, 7, 0, 9, 10, 7, 7, 6, 0, 0, 8, 0, 7, 0, 4, 9, 0, 7, 4, 6, 6, 7, 4, 7, 6, 0, 4, 0, 7, 8, 6, 9, 0, 0, 4, 0, 9, 7, 4, 0, 1, 6, 6, 4, 6, 9, 4, 6, 3, 12, 6, 6, 6, 9, 9, 6, 7, 0, 3, 7, 0, 17, 7, 6, 4, 7, 6, 9, 4 ], "type_text": [ "Battery", "Motor Vehicle Theft", "Battery", "Assault", "Battery", "Theft", "Theft", "Battery", "Theft", "Assault", "Burglary", "Battery", "Battery", "Criminal Damage", "Theft", "Theft", "Other Offense", "Theft", "Battery", "Theft", "Motor Vehicle Theft", "Assault", "Theft", "Battery", "Motor Vehicle Theft", "Criminal Damage", "Criminal Damage", "Battery", "Motor Vehicle Theft", "Battery", "Criminal Damage", "Theft", "Motor Vehicle Theft", "Theft", "Battery", "Other Offense", "Criminal Damage", "Assault", "Theft", "Theft", "Motor Vehicle Theft", "Theft", "Assault", "Battery", "Motor Vehicle Theft", "Theft", "Weapons Violation", "Criminal Damage", "Criminal Damage", "Motor Vehicle Theft", "Criminal Damage", "Assault", "Motor Vehicle Theft", "Criminal Damage", "Deceptive Practice", "Arson", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Assault", "Assault", "Criminal Damage", "Battery", "Theft", "Deceptive Practice", "Battery", "Theft", "Stalking", "Battery", "Criminal Damage", "Motor Vehicle Theft", "Battery", "Criminal Damage", "Assault", "Motor Vehicle Theft" ], "description": "The sequence of crime incidents shows a variety of offenses occurring over time, with certain types of crimes appearing more frequently in specific periods. Battery incidents are prevalent in the early months, while thefts begin to cluster around the second month and continue to occur regularly throughout the timeline. Motor vehicle thefts also appear multiple times, particularly in the later months. Criminal damage incidents increase significantly in frequency as the timeline progresses, and assaults are notably present at various intervals, suggesting a pattern of recurring offenses. Overall, the data indicates a mix of crime types with certain events, like theft and criminal damage, becoming more prominent as time advances." }, { "dim_process": 20, "seq_idx": 294, "seq_len": 30, "time_since_start": [ 0.0, 0.6225694444444444, 0.9248611111111111, 1.561875, 4.623263888888889, 5.2876157407407405, 6.032175925925926, 6.656134259259259, 9.17974537037037, 9.922800925925927, 9.960300925925926, 10.154745370370371, 10.463773148148148, 11.321412037037037, 12.33275462962963, 13.84363425925926, 14.361319444444444, 15.36238425925926, 15.533912037037037, 16.032291666666666, 17.15335648148148, 17.298842592592592, 17.432175925925925, 17.52025462962963, 17.921412037037037, 18.38946759259259, 18.449375, 18.456134259259258, 18.862430555555555, 19.099189814814814 ], "time_since_last_event": [ 0.0, 0.6225694444444444, 0.3022916666666667, 0.6370138888888889, 3.0613888888888887, 0.6643518518518519, 0.7445601851851852, 0.6239583333333333, 2.5236111111111112, 0.7430555555555556, 0.0375, 0.19444444444444445, 0.3090277777777778, 0.8576388888888888, 1.0113425925925925, 1.5108796296296296, 0.5176851851851851, 1.001064814814815, 0.17152777777777778, 0.4983796296296296, 1.1210648148148148, 0.14548611111111112, 0.13333333333333333, 0.0880787037037037, 0.4011574074074074, 0.46805555555555556, 0.05990740740740741, 0.006759259259259259, 0.4062962962962963, 0.23675925925925925 ], "type_event": [ 4, 7, 8, 7, 9, 6, 9, 8, 0, 8, 0, 9, 0, 9, 7, 0, 7, 0, 11, 7, 0, 7, 7, 8, 5, 9, 5, 0, 9, 7 ], "type_text": [ "Motor Vehicle Theft", "Battery", "Other Offense", "Battery", "Assault", "Criminal Damage", "Assault", "Other Offense", "Theft", "Other Offense", "Theft", "Assault", "Theft", "Assault", "Battery", "Theft", "Battery", "Theft", "Robbery", "Battery", "Theft", "Battery", "Battery", "Other Offense", "Criminal Trespass", "Assault", "Criminal Trespass", "Theft", "Assault", "Battery" ], "description": "The sequence of crime incidents begins with a motor vehicle theft, followed by a series of battery incidents occurring relatively early on. Assaults and other offenses appear intermittently, with theft becoming more prevalent in the later months. Notably, there is a cluster of battery incidents around the 17-month mark, alongside a significant number of thefts and other offenses occurring in the latter half of the timeline. Overall, the trend shows an increase in theft-related incidents as time progresses, with various types of offenses interspersed throughout the sequence." }, { "dim_process": 20, "seq_idx": 295, "seq_len": 68, "time_since_start": [ 0.0, 0.1258101851851852, 0.2310185185185185, 0.36550925925925926, 0.9518518518518518, 1.1310185185185184, 1.2351851851851852, 1.3636574074074075, 1.3656018518518518, 1.739699074074074, 2.117824074074074, 2.995578703703704, 3.415162037037037, 3.7337962962962963, 3.9226851851851854, 4.11275462962963, 4.700462962962963, 4.907407407407407, 5.148842592592593, 5.309259259259259, 5.849074074074074, 6.029791666666667, 6.26712962962963, 6.78587962962963, 6.9017129629629625, 6.918263888888889, 7.364351851851852, 7.3840509259259255, 7.463935185185186, 7.685208333333334, 8.771944444444445, 8.970601851851852, 10.078935185185186, 10.675694444444444, 10.744652777777778, 10.896550925925926, 11.273055555555555, 11.540740740740741, 11.603379629629629, 11.613194444444444, 11.629166666666666, 11.629606481481481, 12.186782407407408, 12.978935185185184, 13.294907407407408, 13.382407407407408, 13.440277777777778, 13.872685185185185, 13.90787037037037, 14.465046296296297, 16.418518518518518, 16.542824074074073, 16.550324074074073, 16.618518518518517, 17.09351851851852, 17.68148148148148, 19.349074074074075, 19.906296296296297, 20.45324074074074, 20.682407407407407, 20.769212962962964, 21.822685185185186, 21.824074074074073, 22.646296296296295, 22.649074074074075, 22.721481481481483, 22.875949074074075, 22.94212962962963 ], "time_since_last_event": [ 0.0, 0.1258101851851852, 0.10520833333333333, 0.13449074074074074, 0.5863425925925926, 0.17916666666666667, 0.10416666666666667, 0.1284722222222222, 0.0019444444444444444, 0.37409722222222225, 0.378125, 0.8777546296296296, 0.4195833333333333, 0.31863425925925926, 0.18888888888888888, 0.19006944444444446, 0.5877083333333334, 0.20694444444444443, 0.2414351851851852, 0.16041666666666668, 0.5398148148148149, 0.1807175925925926, 0.23733796296296297, 0.51875, 0.11583333333333333, 0.016550925925925927, 0.44608796296296294, 0.019699074074074074, 0.07988425925925927, 0.22127314814814814, 1.0867361111111111, 0.1986574074074074, 1.1083333333333334, 0.5967592592592592, 0.06895833333333333, 0.15189814814814814, 0.3765046296296296, 0.2676851851851852, 0.06263888888888888, 0.009814814814814814, 0.01597222222222222, 0.0004398148148148148, 0.5571759259259259, 0.7921527777777778, 0.3159722222222222, 0.0875, 0.05787037037037037, 0.4324074074074074, 0.03518518518518519, 0.5571759259259259, 1.9534722222222223, 0.12430555555555556, 0.0075, 0.06819444444444445, 0.475, 0.5879629629629629, 1.6675925925925925, 0.5572222222222222, 0.5469444444444445, 0.22916666666666666, 0.08680555555555555, 1.0534722222222221, 0.001388888888888889, 0.8222222222222222, 0.002777777777777778, 0.0724074074074074, 0.1544675925925926, 0.06618055555555556 ], "type_event": [ 7, 4, 8, 7, 3, 0, 8, 6, 8, 8, 0, 7, 1, 3, 7, 9, 0, 7, 10, 8, 11, 6, 0, 8, 9, 9, 4, 1, 7, 7, 7, 8, 7, 9, 7, 8, 7, 3, 7, 7, 9, 9, 0, 6, 4, 8, 7, 8, 10, 4, 7, 4, 6, 6, 6, 4, 4, 9, 7, 0, 7, 0, 7, 9, 7, 7, 9, 5 ], "type_text": [ "Battery", "Motor Vehicle Theft", "Other Offense", "Battery", "Deceptive Practice", "Theft", "Other Offense", "Criminal Damage", "Other Offense", "Other Offense", "Theft", "Battery", "Weapons Violation", "Deceptive Practice", "Battery", "Assault", "Theft", "Battery", "Burglary", "Other Offense", "Robbery", "Criminal Damage", "Theft", "Other Offense", "Assault", "Assault", "Motor Vehicle Theft", "Weapons Violation", "Battery", "Battery", "Battery", "Other Offense", "Battery", "Assault", "Battery", "Other Offense", "Battery", "Deceptive Practice", "Battery", "Battery", "Assault", "Assault", "Theft", "Criminal Damage", "Motor Vehicle Theft", "Other Offense", "Battery", "Other Offense", "Burglary", "Motor Vehicle Theft", "Battery", "Motor Vehicle Theft", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Motor Vehicle Theft", "Motor Vehicle Theft", "Assault", "Battery", "Theft", "Battery", "Theft", "Battery", "Assault", "Battery", "Battery", "Assault", "Criminal Trespass" ], "description": "The sequence of crime incidents shows a varied distribution of crime types over time, with certain offenses appearing more frequently at different intervals. Battery incidents are notably prevalent, occurring multiple times throughout the timeline, particularly clustered in the earlier months and again in the later months. Other Offenses also appear frequently, especially in the initial stages, while Theft incidents increase in frequency after the first year. Motor Vehicle Theft and Assault incidents are also recurrent, with a noticeable rise in the latter part of the timeline. Overall, the sequence indicates a pattern of crime types that fluctuate, with certain types emerging more prominently in specific periods." }, { "dim_process": 20, "seq_idx": 296, "seq_len": 39, "time_since_start": [ 0.0, 0.38493055555555555, 0.61875, 0.6342592592592593, 0.6359722222222223, 0.6402777777777777, 0.7204861111111112, 0.8506944444444444, 1.0243055555555556, 1.4604166666666667, 1.4707175925925926, 1.7004166666666667, 1.7895833333333333, 1.9060648148148147, 1.9215277777777777, 2.0548611111111112, 3.264236111111111, 4.41875, 6.304861111111111, 6.404861111111111, 6.436111111111111, 7.004861111111111, 7.56875, 9.103032407407408, 10.63613425925926, 10.728472222222223, 10.777731481481482, 10.793402777777779, 12.56423611111111, 12.988194444444444, 14.018402777777778, 14.084027777777777, 14.108333333333333, 14.524305555555555, 14.551041666666666, 14.765625, 17.396527777777777, 17.836805555555557, 21.852083333333333 ], "time_since_last_event": [ 0.0, 0.38493055555555555, 0.23381944444444444, 0.015509259259259259, 0.001712962962962963, 0.0043055555555555555, 0.08020833333333334, 0.13020833333333334, 0.1736111111111111, 0.4361111111111111, 0.010300925925925925, 0.22969907407407408, 0.08916666666666667, 0.11648148148148148, 0.015462962962962963, 0.13333333333333333, 1.209375, 1.1545138888888888, 1.886111111111111, 0.1, 0.03125, 0.56875, 0.5638888888888889, 1.5342824074074075, 1.5331018518518518, 0.09233796296296297, 0.04925925925925926, 0.015671296296296298, 1.7708333333333333, 0.4239583333333333, 1.0302083333333334, 0.065625, 0.024305555555555556, 0.41597222222222224, 0.02673611111111111, 0.21458333333333332, 2.6309027777777776, 0.44027777777777777, 4.0152777777777775 ], "type_event": [ 8, 8, 8, 8, 8, 8, 8, 8, 7, 8, 6, 8, 8, 7, 8, 7, 0, 4, 8, 7, 7, 13, 4, 7, 8, 8, 7, 8, 13, 3, 7, 0, 8, 16, 7, 8, 0, 4, 6 ], "type_text": [ "Other Offense", "Other Offense", "Other Offense", "Other Offense", "Other Offense", "Other Offense", "Other Offense", "Other Offense", "Battery", "Other Offense", "Criminal Damage", "Other Offense", "Other Offense", "Battery", "Other Offense", "Battery", "Theft", "Motor Vehicle Theft", "Other Offense", "Battery", "Battery", "Offense Involving Children", "Motor Vehicle Theft", "Battery", "Other Offense", "Other Offense", "Battery", "Other Offense", "Offense Involving Children", "Deceptive Practice", "Battery", "Theft", "Other Offense", "Narcotics", "Battery", "Other Offense", "Theft", "Motor Vehicle Theft", "Criminal Damage" ], "description": "The sequence of crime incidents begins with a series of \"Other Offense\" reports concentrated in the initial months, demonstrating a high frequency of these incidents early on. Battery incidents start to appear around the one-month mark and continue to occur throughout the sequence, with noticeable clusters at various points. Theft and motor vehicle theft incidents emerge later, with theft becoming more frequent in the latter half of the timeline. Additionally, offenses involving children and narcotics are interspersed among the other crime types, indicating a diverse range of incidents occurring over time." }, { "dim_process": 20, "seq_idx": 297, "seq_len": 71, "time_since_start": [ 0.0, 0.18118055555555557, 0.42430555555555555, 0.4722222222222222, 0.55, 0.7162037037037037, 1.2201157407407408, 1.6305555555555555, 3.502083333333333, 3.5930555555555554, 4.015856481481482, 5.129814814814814, 5.155208333333333, 5.166620370370371, 5.822222222222222, 5.934398148148148, 6.560763888888889, 6.591666666666667, 7.059722222222222, 7.0881944444444445, 7.088888888888889, 7.252083333333333, 7.28662037037037, 7.466782407407408, 7.5628472222222225, 7.588888888888889, 7.817013888888889, 8.125555555555556, 8.570833333333333, 8.571851851851852, 8.667476851851852, 8.795833333333333, 9.343194444444444, 9.63275462962963, 10.526041666666666, 11.168981481481481, 12.10138888888889, 12.105555555555556, 12.495833333333334, 13.348611111111111, 13.589884259259259, 14.234375, 14.240208333333333, 14.252777777777778, 15.884027777777778, 16.660300925925927, 16.944444444444443, 16.954166666666666, 17.23962962962963, 17.274305555555557, 17.469444444444445, 17.47222222222222, 17.509027777777778, 17.872222222222224, 18.484675925925927, 18.518032407407407, 19.851388888888888, 19.872407407407408, 19.895949074074075, 20.12638888888889, 20.449305555555554, 20.864583333333332, 21.068472222222223, 21.305578703703702, 21.30752314814815, 21.695138888888888, 22.32986111111111, 22.405277777777776, 22.98402777777778, 23.10988425925926, 23.42013888888889 ], "time_since_last_event": [ 0.0, 0.18118055555555557, 0.243125, 0.04791666666666667, 0.07777777777777778, 0.16620370370370371, 0.503912037037037, 0.41043981481481484, 1.8715277777777777, 0.09097222222222222, 0.42280092592592594, 1.1139583333333334, 0.02539351851851852, 0.011412037037037037, 0.6556018518518518, 0.11217592592592593, 0.6263657407407407, 0.03090277777777778, 0.46805555555555556, 0.02847222222222222, 0.0006944444444444445, 0.16319444444444445, 0.03453703703703704, 0.18016203703703704, 0.09606481481481481, 0.026041666666666668, 0.228125, 0.30854166666666666, 0.4452777777777778, 0.0010185185185185184, 0.095625, 0.1283564814814815, 0.5473611111111111, 0.28956018518518517, 0.893287037037037, 0.6429398148148148, 0.9324074074074075, 0.004166666666666667, 0.3902777777777778, 0.8527777777777777, 0.24127314814814815, 0.6444907407407408, 0.005833333333333334, 0.012569444444444444, 1.63125, 0.7762731481481482, 0.28414351851851855, 0.009722222222222222, 0.285462962962963, 0.03467592592592592, 0.1951388888888889, 0.002777777777777778, 0.03680555555555556, 0.36319444444444443, 0.6124537037037037, 0.03335648148148148, 1.3333564814814816, 0.02101851851851852, 0.023541666666666666, 0.23043981481481482, 0.3229166666666667, 0.4152777777777778, 0.2038888888888889, 0.23710648148148147, 0.0019444444444444444, 0.38761574074074073, 0.6347222222222222, 0.07541666666666667, 0.57875, 0.12585648148148149, 0.31025462962962963 ], "type_event": [ 0, 7, 9, 0, 8, 7, 9, 9, 11, 6, 9, 9, 0, 9, 0, 8, 0, 0, 0, 6, 3, 0, 8, 4, 8, 6, 0, 7, 6, 7, 7, 7, 6, 1, 6, 0, 9, 3, 6, 0, 9, 8, 1, 8, 6, 9, 7, 10, 7, 6, 6, 6, 4, 7, 7, 9, 0, 7, 3, 0, 7, 0, 7, 6, 9, 0, 0, 8, 7, 1, 10 ], "type_text": [ "Theft", "Battery", "Assault", "Theft", "Other Offense", "Battery", "Assault", "Assault", "Robbery", "Criminal Damage", "Assault", "Assault", "Theft", "Assault", "Theft", "Other Offense", "Theft", "Theft", "Theft", "Criminal Damage", "Deceptive Practice", "Theft", "Other Offense", "Motor Vehicle Theft", "Other Offense", "Criminal Damage", "Theft", "Battery", "Criminal Damage", "Battery", "Battery", "Battery", "Criminal Damage", "Weapons Violation", "Criminal Damage", "Theft", "Assault", "Deceptive Practice", "Criminal Damage", "Theft", "Assault", "Other Offense", "Weapons Violation", "Other Offense", "Criminal Damage", "Assault", "Battery", "Burglary", "Battery", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Motor Vehicle Theft", "Battery", "Battery", "Assault", "Theft", "Battery", "Deceptive Practice", "Theft", "Battery", "Theft", "Battery", "Criminal Damage", "Assault", "Theft", "Theft", "Other Offense", "Battery", "Weapons Violation", "Burglary" ], "description": "The sequence of crime incidents in the Chicago block shows a range of crime types occurring over time, with notable clustering of specific offenses. The earlier months feature a mix of theft, battery, and assault, with theft incidents appearing consistently throughout the timeline. As time progresses, there is an increase in criminal damage and other offenses, particularly between the 7th and 10th months. The latter part of the sequence sees a rise in battery incidents and a resurgence of theft, alongside the emergence of weapons violations and burglaries. Overall, theft and battery are prevalent throughout, while criminal damage appears to cluster in the middle to later months." }, { "dim_process": 20, "seq_idx": 298, "seq_len": 69, "time_since_start": [ 0.0, 0.0811111111111111, 0.42694444444444446, 0.6561111111111111, 0.7515972222222222, 0.9575, 1.2227777777777777, 1.4575, 2.1220833333333333, 2.1575, 2.327638888888889, 3.5098842592592594, 3.7713888888888887, 3.8019444444444446, 3.9372685185185183, 4.091458333333334, 4.195, 4.390833333333333, 4.522662037037037, 5.067337962962963, 5.1575, 5.224166666666667, 5.431805555555556, 6.173472222222222, 7.461666666666667, 7.5534490740740745, 7.563055555555556, 8.332152777777777, 8.348472222222222, 8.4075, 8.556805555555556, 8.596597222222222, 8.704027777777778, 9.359791666666666, 9.724166666666667, 9.877638888888889, 9.93875, 9.949166666666667, 10.08875, 10.122777777777777, 10.274166666666666, 10.721574074074073, 10.995671296296296, 11.052291666666667, 11.09986111111111, 11.436666666666667, 11.830416666666666, 11.85125, 12.121851851851853, 12.735277777777778, 13.504722222222222, 13.700555555555555, 14.659583333333334, 15.186666666666667, 15.874166666666667, 16.874166666666667, 17.08875, 17.8575, 17.950092592592593, 18.00125, 18.500555555555554, 19.128333333333334, 19.197777777777777, 19.62127314814815, 19.867916666666666, 21.72, 21.81861111111111, 22.990601851851853, 23.079722222222223 ], "time_since_last_event": [ 0.0, 0.0811111111111111, 0.3458333333333333, 0.22916666666666666, 0.0954861111111111, 0.20590277777777777, 0.2652777777777778, 0.23472222222222222, 0.6645833333333333, 0.035416666666666666, 0.1701388888888889, 1.1822453703703704, 0.2615046296296296, 0.030555555555555555, 0.13532407407407407, 0.1541898148148148, 0.10354166666666667, 0.19583333333333333, 0.1318287037037037, 0.544675925925926, 0.09016203703703704, 0.06666666666666667, 0.2076388888888889, 0.7416666666666667, 1.2881944444444444, 0.09178240740740741, 0.009606481481481481, 0.7690972222222222, 0.016319444444444445, 0.059027777777777776, 0.14930555555555555, 0.03979166666666667, 0.10743055555555556, 0.6557638888888889, 0.364375, 0.15347222222222223, 0.06111111111111111, 0.010416666666666666, 0.13958333333333334, 0.034027777777777775, 0.15138888888888888, 0.4474074074074074, 0.2740972222222222, 0.05662037037037037, 0.04756944444444444, 0.3368055555555556, 0.39375, 0.020833333333333332, 0.27060185185185187, 0.6134259259259259, 0.7694444444444445, 0.19583333333333333, 0.9590277777777778, 0.5270833333333333, 0.6875, 1.0, 0.21458333333333332, 0.76875, 0.09259259259259259, 0.05115740740740741, 0.49930555555555556, 0.6277777777777778, 0.06944444444444445, 0.4234953703703704, 0.2466435185185185, 1.8520833333333333, 0.09861111111111111, 1.1719907407407408, 0.08912037037037036 ], "type_event": [ 9, 3, 7, 3, 3, 0, 0, 3, 10, 0, 0, 7, 0, 9, 7, 8, 0, 6, 7, 7, 4, 0, 4, 11, 7, 6, 7, 7, 5, 4, 4, 7, 7, 0, 0, 7, 0, 3, 0, 0, 0, 7, 8, 6, 7, 7, 6, 0, 4, 0, 7, 14, 6, 3, 0, 6, 0, 3, 6, 0, 7, 4, 4, 0, 9, 0, 0, 7, 8 ], "type_text": [ "Assault", "Deceptive Practice", "Battery", "Deceptive Practice", "Deceptive Practice", "Theft", "Theft", "Deceptive Practice", "Burglary", "Theft", "Theft", "Battery", "Theft", "Assault", "Battery", "Other Offense", "Theft", "Criminal Damage", "Battery", "Battery", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Robbery", "Battery", "Criminal Damage", "Battery", "Battery", "Criminal Trespass", "Motor Vehicle Theft", "Motor Vehicle Theft", "Battery", "Battery", "Theft", "Theft", "Battery", "Theft", "Deceptive Practice", "Theft", "Theft", "Theft", "Battery", "Other Offense", "Criminal Damage", "Battery", "Battery", "Criminal Damage", "Theft", "Motor Vehicle Theft", "Theft", "Battery", "Criminal Sexual Assault", "Criminal Damage", "Deceptive Practice", "Theft", "Criminal Damage", "Theft", "Deceptive Practice", "Criminal Damage", "Theft", "Battery", "Motor Vehicle Theft", "Motor Vehicle Theft", "Theft", "Assault", "Theft", "Theft", "Battery", "Other Offense" ], "description": "The sequence of crime incidents shows a diverse range of crime types occurring over time, with certain patterns in their timing. Initially, incidents of assault and deceptive practices are reported, followed by a gradual increase in battery and theft incidents. As time progresses, theft becomes the most frequent crime type, particularly in the later months, while battery incidents also cluster in the middle to later stages. Criminal damage and motor vehicle theft appear intermittently, with a notable rise in both towards the end of the sequence. Overall, there is a trend of increasing crime frequency and variety as time advances." }, { "dim_process": 20, "seq_idx": 299, "seq_len": 33, "time_since_start": [ 0.0, 0.010949074074074075, 1.6444444444444444, 2.6751157407407407, 3.3881944444444443, 3.4625, 3.990972222222222, 4.131550925925926, 5.620254629629629, 5.64400462962963, 6.310625, 6.7375, 6.909861111111111, 7.866666666666666, 7.927777777777778, 8.307199074074074, 8.372916666666667, 8.467268518518518, 8.644467592592592, 8.719444444444445, 10.495601851851852, 10.778125, 10.960185185185185, 11.171527777777778, 11.575, 12.55037037037037, 12.876388888888888, 15.193055555555556, 15.236851851851851, 16.873680555555556, 20.743055555555557, 22.03611111111111, 22.21351851851852 ], "time_since_last_event": [ 0.0, 0.010949074074074075, 1.6334953703703703, 1.0306712962962963, 0.7130787037037037, 0.07430555555555556, 0.5284722222222222, 0.1405787037037037, 1.4887037037037036, 0.02375, 0.6666203703703704, 0.426875, 0.1723611111111111, 0.9568055555555556, 0.06111111111111111, 0.3794212962962963, 0.06571759259259259, 0.09435185185185185, 0.17719907407407406, 0.07497685185185185, 1.7761574074074074, 0.28252314814814816, 0.18206018518518519, 0.21134259259259258, 0.40347222222222223, 0.9753703703703703, 0.32601851851851854, 2.316666666666667, 0.0437962962962963, 1.6368287037037037, 3.869375, 1.2930555555555556, 0.1774074074074074 ], "type_event": [ 11, 0, 7, 4, 6, 9, 6, 19, 7, 7, 7, 4, 7, 0, 6, 6, 0, 5, 0, 6, 5, 7, 0, 0, 4, 4, 7, 14, 9, 15, 4, 4, 7 ], "type_text": [ "Robbery", "Theft", "Battery", "Motor Vehicle Theft", "Criminal Damage", "Assault", "Criminal Damage", "Homicide", "Battery", "Battery", "Battery", "Motor Vehicle Theft", "Battery", "Theft", "Criminal Damage", "Criminal Damage", "Theft", "Criminal Trespass", "Theft", "Criminal Damage", "Criminal Trespass", "Battery", "Theft", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Battery", "Criminal Sexual Assault", "Assault", "Interference With Public Officer", "Motor Vehicle Theft", "Motor Vehicle Theft", "Battery" ], "description": "The sequence of crime incidents shows a variety of crime types occurring over time, with certain patterns emerging. Initial incidents include robbery and theft, followed by a mix of violent crimes such as battery and assault occurring within the first year. Criminal damage events cluster around the 3 to 9-month mark, while motor vehicle thefts appear more frequently in the latter part of the timeline, particularly after the 10-month mark. Additionally, there is a notable increase in battery incidents around the 5 to 9-month period, with a significant spike in motor vehicle thefts occurring later in the sequence." }, { "dim_process": 20, "seq_idx": 300, "seq_len": 86, "time_since_start": [ 0.0, 0.8519675925925926, 1.1479166666666667, 1.409560185185185, 1.4963425925925926, 2.9479166666666665, 3.1694444444444443, 3.3435185185185183, 3.4208333333333334, 3.8564814814814814, 3.9916435185185186, 4.44375, 5.137638888888889, 5.142777777777778, 5.586574074074074, 6.656944444444444, 6.806597222222222, 7.466666666666667, 7.652199074074074, 7.679166666666666, 7.759074074074074, 8.248611111111112, 8.599467592592593, 8.851898148148148, 9.218055555555555, 9.916435185185184, 10.0375, 10.549305555555556, 10.857592592592592, 11.055555555555555, 11.057384259259258, 11.077175925925927, 11.123611111111112, 11.1875, 11.511458333333334, 12.28460648148148, 12.639236111111112, 13.680902777777778, 13.7, 13.772916666666667, 13.881018518518518, 14.386111111111111, 14.542361111111111, 14.865393518518518, 15.065277777777778, 15.479305555555555, 15.55125, 15.665277777777778, 15.82013888888889, 16.184722222222224, 16.405555555555555, 17.380555555555556, 17.43888888888889, 17.712800925925926, 17.805555555555557, 17.990277777777777, 18.72013888888889, 19.006944444444443, 19.179166666666667, 19.262777777777778, 19.768287037037037, 19.80872685185185, 19.818981481481483, 19.82199074074074, 20.02363425925926, 20.25699074074074, 20.417361111111113, 20.419675925925926, 20.438333333333333, 20.43888888888889, 20.474421296296295, 20.474467592592593, 20.871828703703702, 21.48472222222222, 21.941666666666666, 22.021967592592592, 22.661458333333332, 23.075, 23.155555555555555, 23.159537037037037, 23.38125, 23.38888888888889, 23.425, 23.681944444444444, 23.693726851851853, 23.82824074074074 ], "time_since_last_event": [ 0.0, 0.8519675925925926, 0.29594907407407406, 0.2616435185185185, 0.0867824074074074, 1.4515740740740741, 0.22152777777777777, 0.17407407407407408, 0.07731481481481481, 0.4356481481481482, 0.13516203703703702, 0.45210648148148147, 0.6938888888888889, 0.005138888888888889, 0.4437962962962963, 1.0703703703703704, 0.14965277777777777, 0.6600694444444445, 0.1855324074074074, 0.02696759259259259, 0.07990740740740741, 0.48953703703703705, 0.35085648148148146, 0.25243055555555555, 0.36615740740740743, 0.6983796296296296, 0.12106481481481482, 0.5118055555555555, 0.308287037037037, 0.19796296296296295, 0.0018287037037037037, 0.019791666666666666, 0.046435185185185184, 0.06388888888888888, 0.32395833333333335, 0.7731481481481481, 0.35462962962962963, 1.0416666666666667, 0.019097222222222224, 0.07291666666666667, 0.10810185185185185, 0.5050925925925925, 0.15625, 0.3230324074074074, 0.19988425925925926, 0.4140277777777778, 0.07194444444444445, 0.11402777777777778, 0.15486111111111112, 0.3645833333333333, 0.22083333333333333, 0.975, 0.058333333333333334, 0.27391203703703704, 0.09275462962962963, 0.18472222222222223, 0.7298611111111111, 0.28680555555555554, 0.17222222222222222, 0.08361111111111111, 0.5055092592592593, 0.04043981481481482, 0.01025462962962963, 0.0030092592592592593, 0.20164351851851853, 0.23335648148148147, 0.16037037037037036, 0.0023148148148148147, 0.018657407407407407, 0.0005555555555555556, 0.03553240740740741, 4.6296296296296294e-05, 0.3973611111111111, 0.6128935185185185, 0.45694444444444443, 0.08030092592592593, 0.6394907407407407, 0.41354166666666664, 0.08055555555555556, 0.003981481481481482, 0.22171296296296297, 0.007638888888888889, 0.03611111111111111, 0.2569444444444444, 0.011782407407407408, 0.13451388888888888 ], "type_event": [ 7, 0, 10, 1, 7, 7, 8, 9, 14, 8, 7, 11, 1, 19, 1, 10, 9, 7, 9, 6, 7, 4, 10, 0, 10, 6, 0, 8, 6, 4, 1, 10, 0, 7, 7, 7, 6, 1, 9, 9, 6, 7, 7, 1, 8, 7, 9, 4, 9, 6, 4, 7, 3, 9, 0, 0, 10, 9, 7, 8, 7, 16, 10, 6, 8, 9, 9, 7, 7, 10, 7, 9, 7, 7, 7, 14, 9, 7, 4, 7, 11, 7, 14, 7, 11, 0 ], "type_text": [ "Battery", "Theft", "Burglary", "Weapons Violation", "Battery", "Battery", "Other Offense", "Assault", "Criminal Sexual Assault", "Other Offense", "Battery", "Robbery", "Weapons Violation", "Homicide", "Weapons Violation", "Burglary", "Assault", "Battery", "Assault", "Criminal Damage", "Battery", "Motor Vehicle Theft", "Burglary", "Theft", "Burglary", "Criminal Damage", "Theft", "Other Offense", "Criminal Damage", "Motor Vehicle Theft", "Weapons Violation", "Burglary", "Theft", "Battery", "Battery", "Battery", "Criminal Damage", "Weapons Violation", "Assault", "Assault", "Criminal Damage", "Battery", "Battery", "Weapons Violation", "Other Offense", "Battery", "Assault", "Motor Vehicle Theft", "Assault", "Criminal Damage", "Motor Vehicle Theft", "Battery", "Deceptive Practice", "Assault", "Theft", "Theft", "Burglary", "Assault", "Battery", "Other Offense", "Battery", "Narcotics", "Burglary", "Criminal Damage", "Other Offense", "Assault", "Assault", "Battery", "Battery", "Burglary", "Battery", "Assault", "Battery", "Battery", "Battery", "Criminal Sexual Assault", "Assault", "Battery", "Motor Vehicle Theft", "Battery", "Robbery", "Battery", "Criminal Sexual Assault", "Battery", "Robbery", "Theft" ], "description": "The sequence of crime incidents in the block shows a variety of crime types occurring over time, with certain patterns emerging. Initially, incidents such as battery and theft are reported more frequently in the early months, followed by a rise in more serious offenses like burglary and weapons violations around the mid-point of the timeline. As the sequence progresses, there is a noticeable clustering of battery incidents, particularly in the later months, alongside a consistent occurrence of assaults and various other offenses. The data also indicates a recurring presence of motor vehicle theft and criminal damage towards the latter part of the timeline, suggesting a trend of increasing complexity in the nature of crimes reported." }, { "dim_process": 20, "seq_idx": 301, "seq_len": 37, "time_since_start": [ 0.0, 2.0638194444444444, 3.0360416666666667, 3.0374305555555554, 3.191388888888889, 3.3355092592592595, 3.3957175925925926, 3.423888888888889, 4.443912037037037, 6.072384259259259, 7.276319444444445, 8.374050925925927, 9.374930555555556, 10.16173611111111, 10.323263888888889, 10.600625, 10.825625, 13.026319444444445, 13.770300925925927, 14.884768518518518, 15.104467592592593, 16.037430555555556, 16.204212962962963, 16.329097222222224, 16.442060185185184, 16.673541666666665, 17.672847222222224, 17.98326388888889, 18.24622685185185, 18.315208333333334, 18.447152777777777, 18.742615740740742, 19.24483796296296, 20.39125, 22.420069444444444, 23.045069444444444, 23.512430555555557 ], "time_since_last_event": [ 0.0, 2.0638194444444444, 0.9722222222222222, 0.001388888888888889, 0.15395833333333334, 0.14412037037037037, 0.060208333333333336, 0.028171296296296295, 1.020023148148148, 1.6284722222222223, 1.2039351851851852, 1.0977314814814816, 1.0008796296296296, 0.7868055555555555, 0.16152777777777777, 0.2773611111111111, 0.225, 2.2006944444444443, 0.7439814814814815, 1.1144675925925926, 0.21969907407407407, 0.932962962962963, 0.1667824074074074, 0.12488425925925926, 0.11296296296296296, 0.23148148148148148, 0.9993055555555556, 0.3104166666666667, 0.26296296296296295, 0.06898148148148148, 0.13194444444444445, 0.295462962962963, 0.5022222222222222, 1.146412037037037, 2.0288194444444443, 0.625, 0.4673611111111111 ], "type_event": [ 6, 4, 6, 4, 9, 1, 1, 0, 3, 4, 7, 9, 7, 0, 7, 4, 3, 4, 6, 7, 16, 9, 6, 0, 19, 3, 6, 3, 7, 3, 7, 9, 9, 0, 0, 6, 7 ], "type_text": [ "Criminal Damage", "Motor Vehicle Theft", "Criminal Damage", "Motor Vehicle Theft", "Assault", "Weapons Violation", "Weapons Violation", "Theft", "Deceptive Practice", "Motor Vehicle Theft", "Battery", "Assault", "Battery", "Theft", "Battery", "Motor Vehicle Theft", "Deceptive Practice", "Motor Vehicle Theft", "Criminal Damage", "Battery", "Narcotics", "Assault", "Criminal Damage", "Theft", "Homicide", "Deceptive Practice", "Criminal Damage", "Deceptive Practice", "Battery", "Deceptive Practice", "Battery", "Assault", "Assault", "Theft", "Theft", "Criminal Damage", "Battery" ], "description": "The sequence of crime incidents begins with Criminal Damage and Motor Vehicle Theft occurring early on, followed by a series of Assaults and Weapons Violations clustered around the third month. As time progresses, there is a notable increase in Battery incidents and Deceptive Practices, particularly in the later months. Motor Vehicle Theft appears multiple times throughout the sequence, with a peak around the sixth month, while Theft incidents also show a tendency to cluster towards the later part of the timeline. Criminal Damage remains a recurring event, particularly in the middle and later months, alongside a gradual emergence of more serious offenses such as Homicide." }, { "dim_process": 20, "seq_idx": 302, "seq_len": 33, "time_since_start": [ 0.0, 0.030439814814814815, 0.2818287037037037, 1.5797453703703703, 1.8333333333333333, 3.334652777777778, 3.413310185185185, 3.757222222222222, 4.234606481481482, 4.33912037037037, 5.1186342592592595, 5.504050925925926, 6.016782407407407, 6.188078703703703, 6.414467592592593, 8.703587962962963, 8.71863425925926, 9.456273148148147, 12.106481481481481, 12.951041666666667, 13.89398148148148, 14.584606481481481, 15.23738425925926, 15.606828703703703, 15.817893518518519, 16.430439814814815, 16.966550925925926, 17.13773148148148, 18.10449074074074, 18.557662037037037, 19.443981481481483, 21.23435185185185, 23.333541666666665 ], "time_since_last_event": [ 0.0, 0.030439814814814815, 0.2513888888888889, 1.2979166666666666, 0.253587962962963, 1.5013194444444444, 0.07865740740740741, 0.34391203703703704, 0.47738425925925926, 0.10451388888888889, 0.7795138888888888, 0.3854166666666667, 0.5127314814814815, 0.1712962962962963, 0.2263888888888889, 2.2891203703703704, 0.015046296296296295, 0.7376388888888888, 2.6502083333333335, 0.8445601851851852, 0.9429398148148148, 0.690625, 0.6527777777777778, 0.36944444444444446, 0.21106481481481482, 0.6125462962962963, 0.5361111111111111, 0.17118055555555556, 0.9667592592592592, 0.4531712962962963, 0.8863194444444444, 1.7903703703703704, 2.0991898148148147 ], "type_event": [ 6, 6, 0, 11, 9, 11, 10, 6, 0, 6, 0, 3, 4, 0, 7, 7, 0, 10, 8, 16, 4, 3, 4, 7, 9, 3, 0, 8, 3, 7, 4, 0, 1 ], "type_text": [ "Criminal Damage", "Criminal Damage", "Theft", "Robbery", "Assault", "Robbery", "Burglary", "Criminal Damage", "Theft", "Criminal Damage", "Theft", "Deceptive Practice", "Motor Vehicle Theft", "Theft", "Battery", "Battery", "Theft", "Burglary", "Other Offense", "Narcotics", "Motor Vehicle Theft", "Deceptive Practice", "Motor Vehicle Theft", "Battery", "Assault", "Deceptive Practice", "Theft", "Other Offense", "Deceptive Practice", "Battery", "Motor Vehicle Theft", "Theft", "Weapons Violation" ], "description": "The sequence of crime incidents shows an initial cluster of Criminal Damage events occurring within the first few months, followed by a mix of Theft, Robbery, and Assault incidents in the subsequent months. As time progresses, there is a noticeable increase in the variety of crime types, including Burglary and Motor Vehicle Theft, particularly around the 6 to 15-month mark. Deceptive Practices and Battery incidents appear more frequently in the later months, while Weapons Violations emerge as a distinct event towards the end of the sequence. Overall, the trend indicates a progression from property crimes to a broader range of offenses over time." }, { "dim_process": 20, "seq_idx": 303, "seq_len": 82, "time_since_start": [ 0.0, 0.4111111111111111, 1.8291666666666666, 1.8625, 1.8895833333333334, 1.9377546296296295, 1.9972916666666667, 2.0047685185185187, 2.058310185185185, 2.566666666666667, 2.6597222222222223, 2.709375, 2.879861111111111, 2.9854166666666666, 3.510902777777778, 3.8271990740740742, 4.111805555555556, 4.1155787037037035, 5.386111111111111, 5.539305555555556, 6.07962962962963, 6.283356481481482, 6.579861111111111, 6.589606481481481, 6.775925925925926, 7.086805555555555, 7.695138888888889, 7.897569444444445, 8.31875, 8.550694444444444, 8.889351851851853, 9.413194444444445, 10.005555555555556, 10.328472222222222, 11.00173611111111, 11.092824074074073, 11.129513888888889, 11.159722222222221, 11.477407407407407, 11.686805555555555, 11.80162037037037, 11.83125, 11.937731481481482, 12.738078703703703, 13.203981481481481, 13.402083333333334, 13.419097222222222, 13.676041666666666, 14.288425925925926, 14.429768518518518, 15.222962962962963, 15.71337962962963, 16.25347222222222, 16.700694444444444, 16.7625, 16.775462962962962, 16.779953703703704, 16.81423611111111, 17.071527777777778, 17.471527777777776, 17.789791666666666, 17.947916666666668, 17.98402777777778, 18.003587962962964, 18.56736111111111, 18.679259259259258, 19.696064814814815, 20.398958333333333, 20.666666666666668, 20.872453703703705, 20.971875, 21.186712962962964, 21.276550925925925, 21.624305555555555, 22.091550925925926, 22.101574074074072, 22.622939814814814, 22.659027777777776, 22.70798611111111, 22.757638888888888, 22.841666666666665, 23.842824074074073 ], "time_since_last_event": [ 0.0, 0.4111111111111111, 1.4180555555555556, 0.03333333333333333, 0.027083333333333334, 0.048171296296296295, 0.059537037037037034, 0.007476851851851852, 0.05354166666666667, 0.5083564814814815, 0.09305555555555556, 0.049652777777777775, 0.17048611111111112, 0.10555555555555556, 0.5254861111111111, 0.3162962962962963, 0.2846064814814815, 0.0037731481481481483, 1.2705324074074074, 0.15319444444444444, 0.5403240740740741, 0.20372685185185185, 0.29650462962962965, 0.00974537037037037, 0.18631944444444445, 0.3108796296296296, 0.6083333333333333, 0.20243055555555556, 0.42118055555555556, 0.23194444444444445, 0.3386574074074074, 0.5238425925925926, 0.5923611111111111, 0.3229166666666667, 0.6732638888888889, 0.09108796296296297, 0.036689814814814814, 0.030208333333333334, 0.3176851851851852, 0.20939814814814814, 0.11481481481481481, 0.02962962962962963, 0.10648148148148148, 0.8003472222222222, 0.4659027777777778, 0.19810185185185186, 0.017013888888888887, 0.2569444444444444, 0.6123842592592592, 0.1413425925925926, 0.7931944444444444, 0.49041666666666667, 0.5400925925925926, 0.44722222222222224, 0.06180555555555556, 0.012962962962962963, 0.0044907407407407405, 0.03428240740740741, 0.25729166666666664, 0.4, 0.3182638888888889, 0.158125, 0.03611111111111111, 0.019560185185185184, 0.5637731481481482, 0.11189814814814815, 1.0168055555555555, 0.7028935185185186, 0.2677083333333333, 0.20578703703703705, 0.0994212962962963, 0.21483796296296295, 0.08983796296296297, 0.3477546296296296, 0.4672453703703704, 0.010023148148148147, 0.5213657407407407, 0.03608796296296296, 0.04895833333333333, 0.049652777777777775, 0.08402777777777778, 1.0011574074074074 ], "type_event": [ 0, 3, 7, 10, 1, 7, 0, 0, 1, 10, 7, 10, 10, 6, 1, 6, 10, 11, 8, 0, 7, 6, 4, 14, 7, 14, 7, 9, 0, 4, 7, 3, 0, 6, 7, 0, 7, 4, 0, 0, 7, 7, 7, 1, 16, 8, 4, 8, 9, 10, 6, 7, 7, 11, 4, 4, 9, 8, 6, 4, 7, 7, 4, 10, 4, 9, 7, 7, 7, 0, 7, 9, 8, 6, 6, 8, 7, 0, 6, 9, 6, 7 ], "type_text": [ "Theft", "Deceptive Practice", "Battery", "Burglary", "Weapons Violation", "Battery", "Theft", "Theft", "Weapons Violation", "Burglary", "Battery", "Burglary", "Burglary", "Criminal Damage", "Weapons Violation", "Criminal Damage", "Burglary", "Robbery", "Other Offense", "Theft", "Battery", "Criminal Damage", "Motor Vehicle Theft", "Criminal Sexual Assault", "Battery", "Criminal Sexual Assault", "Battery", "Assault", "Theft", "Motor Vehicle Theft", "Battery", "Deceptive Practice", "Theft", "Criminal Damage", "Battery", "Theft", "Battery", "Motor Vehicle Theft", "Theft", "Theft", "Battery", "Battery", "Battery", "Weapons Violation", "Narcotics", "Other Offense", "Motor Vehicle Theft", "Other Offense", "Assault", "Burglary", "Criminal Damage", "Battery", "Battery", "Robbery", "Motor Vehicle Theft", "Motor Vehicle Theft", "Assault", "Other Offense", "Criminal Damage", "Motor Vehicle Theft", "Battery", "Battery", "Motor Vehicle Theft", "Burglary", "Motor Vehicle Theft", "Assault", "Battery", "Battery", "Battery", "Theft", "Battery", "Assault", "Other Offense", "Criminal Damage", "Criminal Damage", "Other Offense", "Battery", "Theft", "Criminal Damage", "Assault", "Criminal Damage", "Battery" ], "description": "The sequence of crime incidents shows a progression of various crime types over time, with notable clustering of certain events. Initially, thefts and deceptive practices occur early in the timeline, followed by a rise in battery incidents and a mix of other offenses, including weapons violations and burglaries. As time progresses, there is an increase in motor vehicle thefts and criminal damage incidents, particularly in the later months. The pattern indicates that battery and theft incidents are prevalent throughout the sequence, while other offenses appear more sporadically. Overall, the data reflects a dynamic mix of crime types that evolve and cluster at different intervals." }, { "dim_process": 20, "seq_idx": 304, "seq_len": 33, "time_since_start": [ 0.0, 0.3282407407407407, 0.33773148148148147, 1.0696759259259259, 3.728009259259259, 3.9880787037037035, 4.111342592592592, 4.199537037037037, 5.094537037037037, 8.430787037037037, 9.177037037037037, 9.264120370370371, 9.276851851851852, 9.454513888888888, 9.643148148148148, 11.600949074074075, 12.466898148148148, 16.882291666666667, 17.228981481481483, 17.364814814814814, 17.81134259259259, 18.72837962962963, 18.810925925925925, 19.202685185185185, 19.70474537037037, 20.394675925925927, 20.466550925925926, 20.90023148148148, 21.800925925925927, 22.544675925925926, 22.76787037037037, 22.96585648148148, 23.37384259259259 ], "time_since_last_event": [ 0.0, 0.3282407407407407, 0.00949074074074074, 0.7319444444444444, 2.658333333333333, 0.26006944444444446, 0.1232638888888889, 0.08819444444444445, 0.895, 3.33625, 0.74625, 0.08708333333333333, 0.01273148148148148, 0.17766203703703703, 0.18863425925925925, 1.957800925925926, 0.8659490740740741, 4.415393518518519, 0.3466898148148148, 0.13583333333333333, 0.4465277777777778, 0.917037037037037, 0.0825462962962963, 0.39175925925925925, 0.5020601851851851, 0.6899305555555556, 0.071875, 0.43368055555555557, 0.9006944444444445, 0.74375, 0.22319444444444445, 0.1979861111111111, 0.4079861111111111 ], "type_event": [ 11, 8, 6, 14, 8, 0, 10, 9, 10, 0, 7, 0, 11, 11, 7, 6, 8, 7, 1, 6, 1, 1, 6, 1, 7, 7, 0, 8, 6, 0, 9, 0, 9 ], "type_text": [ "Robbery", "Other Offense", "Criminal Damage", "Criminal Sexual Assault", "Other Offense", "Theft", "Burglary", "Assault", "Burglary", "Theft", "Battery", "Theft", "Robbery", "Robbery", "Battery", "Criminal Damage", "Other Offense", "Battery", "Weapons Violation", "Criminal Damage", "Weapons Violation", "Weapons Violation", "Criminal Damage", "Weapons Violation", "Battery", "Battery", "Theft", "Other Offense", "Criminal Damage", "Theft", "Assault", "Theft", "Assault" ], "description": "The sequence of crime incidents shows a varied pattern over time, with initial incidents occurring within the first few months, including robbery and other offenses. A notable clustering of crimes occurs around the 9 to 12-month mark, particularly with multiple thefts and batteries. As time progresses, there is an increase in weapons violations and criminal damage incidents, particularly from the 17-month mark onward, indicating a shift in the types of offenses reported. The sequence concludes with a further concentration of thefts and assaults in the later months, suggesting a trend of escalating incidents as time advances." }, { "dim_process": 20, "seq_idx": 305, "seq_len": 64, "time_since_start": [ 0.0, 0.2019212962962963, 0.41641203703703705, 1.1255787037037037, 2.0516435185185187, 2.303101851851852, 2.7311342592592593, 3.189236111111111, 3.571597222222222, 3.734837962962963, 4.657893518518518, 6.512152777777778, 6.583935185185185, 6.974421296296296, 7.445717592592593, 9.576620370370371, 9.833217592592593, 10.464722222222223, 10.673148148148147, 10.772800925925926, 10.946180555555555, 11.235300925925927, 11.787152777777777, 12.51099537037037, 13.337152777777778, 13.340462962962963, 13.730208333333334, 13.848564814814814, 14.302939814814815, 14.583912037037036, 15.183842592592592, 15.675601851851852, 15.796875, 15.812222222222223, 15.992731481481481, 16.224652777777777, 16.623032407407408, 17.433888888888887, 17.57673611111111, 17.899976851851854, 18.099074074074075, 18.273958333333333, 18.27541666666667, 18.377314814814813, 18.438472222222224, 18.654050925925926, 18.822569444444444, 18.94363425925926, 19.179861111111112, 19.917060185185186, 19.94798611111111, 20.097731481481482, 20.14587962962963, 20.146041666666665, 20.22375, 20.527662037037036, 20.79710648148148, 21.142708333333335, 21.414305555555554, 21.52486111111111, 22.342199074074074, 22.54212962962963, 22.97835648148148, 23.602546296296296 ], "time_since_last_event": [ 0.0, 0.2019212962962963, 0.21449074074074073, 0.7091666666666666, 0.9260648148148148, 0.25145833333333334, 0.4280324074074074, 0.45810185185185187, 0.3823611111111111, 0.16324074074074074, 0.9230555555555555, 1.8542592592592593, 0.0717824074074074, 0.3904861111111111, 0.47129629629629627, 2.1309027777777776, 0.2565972222222222, 0.6315046296296296, 0.20842592592592593, 0.09965277777777778, 0.17337962962962963, 0.28912037037037036, 0.5518518518518518, 0.7238425925925925, 0.8261574074074074, 0.003310185185185185, 0.3897453703703704, 0.11835648148148148, 0.454375, 0.28097222222222223, 0.5999305555555555, 0.4917592592592593, 0.12127314814814814, 0.015347222222222222, 0.18050925925925926, 0.2319212962962963, 0.39837962962962964, 0.8108564814814815, 0.1428472222222222, 0.3232407407407407, 0.19909722222222223, 0.17488425925925927, 0.0014583333333333334, 0.10189814814814815, 0.06115740740740741, 0.21557870370370372, 0.1685185185185185, 0.12106481481481482, 0.23622685185185185, 0.737199074074074, 0.030925925925925926, 0.14974537037037036, 0.04814814814814815, 0.00016203703703703703, 0.07770833333333334, 0.30391203703703706, 0.26944444444444443, 0.3456018518518518, 0.2715972222222222, 0.11055555555555556, 0.817337962962963, 0.19993055555555556, 0.43622685185185184, 0.6241898148148148 ], "type_event": [ 0, 9, 1, 3, 8, 9, 4, 7, 8, 8, 0, 0, 11, 0, 7, 11, 4, 7, 11, 4, 0, 0, 0, 0, 0, 4, 6, 1, 7, 4, 8, 9, 0, 7, 1, 1, 7, 6, 7, 9, 5, 8, 1, 0, 9, 9, 0, 7, 6, 9, 0, 7, 18, 6, 11, 6, 7, 5, 9, 1, 1, 9, 4, 9 ], "type_text": [ "Theft", "Assault", "Weapons Violation", "Deceptive Practice", "Other Offense", "Assault", "Motor Vehicle Theft", "Battery", "Other Offense", "Other Offense", "Theft", "Theft", "Robbery", "Theft", "Battery", "Robbery", "Motor Vehicle Theft", "Battery", "Robbery", "Motor Vehicle Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Motor Vehicle Theft", "Criminal Damage", "Weapons Violation", "Battery", "Motor Vehicle Theft", "Other Offense", "Assault", "Theft", "Battery", "Weapons Violation", "Weapons Violation", "Battery", "Criminal Damage", "Battery", "Assault", "Criminal Trespass", "Other Offense", "Weapons Violation", "Theft", "Assault", "Assault", "Theft", "Battery", "Criminal Damage", "Assault", "Theft", "Battery", "Public Peace Violation", "Criminal Damage", "Robbery", "Criminal Damage", "Battery", "Criminal Trespass", "Assault", "Weapons Violation", "Weapons Violation", "Assault", "Motor Vehicle Theft", "Assault" ], "description": "The sequence of crime incidents begins with a theft and an assault occurring within the first few months, followed by a variety of offenses including weapons violations and deceptive practices. As time progresses, there is a noticeable clustering of thefts, particularly around the 6 to 14-month mark, alongside a consistent presence of assaults and battery incidents. The latter part of the timeline sees a mix of criminal damage and weapons violations, with a sustained frequency of assaults and thefts continuing up to the 23-month mark. Overall, the data reflects a pattern where certain crime types, such as theft and assault, are more prevalent in the earlier and later stages, while other offenses appear sporadically throughout the timeline." }, { "dim_process": 20, "seq_idx": 306, "seq_len": 36, "time_since_start": [ 0.0, 0.5236111111111111, 1.8729166666666666, 1.9069444444444446, 2.5930555555555554, 2.5944444444444446, 3.3875, 5.605555555555555, 7.129050925925926, 7.458333333333333, 8.688194444444445, 8.918055555555556, 9.5725, 10.994791666666666, 11.919444444444444, 11.922222222222222, 11.927777777777777, 12.78800925925926, 12.823611111111111, 12.823888888888888, 12.894444444444444, 12.925, 13.018402777777778, 13.121527777777779, 13.124074074074073, 14.755555555555556, 14.75763888888889, 15.271527777777777, 15.698611111111111, 15.85625, 18.619444444444444, 18.70625, 19.039583333333333, 19.09027777777778, 20.00125, 20.759027777777778 ], "time_since_last_event": [ 0.0, 0.5236111111111111, 1.3493055555555555, 0.034027777777777775, 0.6861111111111111, 0.001388888888888889, 0.7930555555555555, 2.2180555555555554, 1.5234953703703704, 0.3292824074074074, 1.229861111111111, 0.2298611111111111, 0.6544444444444445, 1.4222916666666667, 0.9246527777777778, 0.002777777777777778, 0.005555555555555556, 0.8602314814814814, 0.03560185185185185, 0.0002777777777777778, 0.07055555555555555, 0.030555555555555555, 0.09340277777777778, 0.103125, 0.0025462962962962965, 1.6314814814814815, 0.0020833333333333333, 0.5138888888888888, 0.4270833333333333, 0.15763888888888888, 2.7631944444444443, 0.08680555555555555, 0.3333333333333333, 0.050694444444444445, 0.9109722222222222, 0.7577777777777778 ], "type_event": [ 0, 7, 1, 14, 0, 7, 0, 7, 7, 0, 7, 9, 8, 7, 7, 13, 7, 13, 16, 16, 9, 7, 7, 7, 9, 6, 4, 0, 7, 9, 7, 14, 0, 7, 11, 7 ], "type_text": [ "Theft", "Battery", "Weapons Violation", "Criminal Sexual Assault", "Theft", "Battery", "Theft", "Battery", "Battery", "Theft", "Battery", "Assault", "Other Offense", "Battery", "Battery", "Offense Involving Children", "Battery", "Offense Involving Children", "Narcotics", "Narcotics", "Assault", "Battery", "Battery", "Battery", "Assault", "Criminal Damage", "Motor Vehicle Theft", "Theft", "Battery", "Assault", "Battery", "Criminal Sexual Assault", "Theft", "Battery", "Robbery", "Battery" ], "description": "The sequence of crime incidents begins with theft and battery occurring early on, followed by a variety of offenses, including weapons violations and criminal sexual assault, within the first two years. Battery incidents appear frequently throughout the timeline, often clustering in groups, particularly after the initial months. Theft also shows a consistent presence, occurring at various intervals, while offenses involving children and narcotics emerge later in the sequence. The final months see a resurgence of battery incidents alongside robbery, indicating a sustained pattern of certain crime types over time." }, { "dim_process": 20, "seq_idx": 307, "seq_len": 45, "time_since_start": [ 0.0, 0.08668981481481482, 0.9425925925925925, 2.0217592592592593, 2.912037037037037, 3.4717592592592594, 4.048148148148148, 5.154861111111111, 5.561111111111111, 5.724537037037037, 6.715416666666667, 8.699189814814815, 8.728981481481481, 8.906921296296296, 9.05787037037037, 9.252546296296297, 9.441203703703703, 9.626990740740741, 9.915787037037036, 10.141203703703704, 10.96050925925926, 11.39349537037037, 12.766203703703704, 12.809259259259258, 13.262291666666666, 13.609953703703704, 15.266990740740741, 15.574537037037038, 16.03009259259259, 16.24675925925926, 16.288425925925925, 16.65710648148148, 16.680694444444445, 18.21550925925926, 19.195833333333333, 19.34537037037037, 19.579398148148147, 20.680092592592594, 21.498958333333334, 22.131944444444443, 22.131944444444443, 22.828703703703702, 22.950694444444444, 23.54675925925926, 24.180555555555557 ], "time_since_last_event": [ 0.0, 0.08668981481481482, 0.8559027777777778, 1.0791666666666666, 0.8902777777777777, 0.5597222222222222, 0.5763888888888888, 1.106712962962963, 0.40625, 0.16342592592592592, 0.9908796296296296, 1.9837731481481482, 0.029791666666666668, 0.17793981481481483, 0.15094907407407407, 0.19467592592592592, 0.1886574074074074, 0.18578703703703703, 0.2887962962962963, 0.22541666666666665, 0.8193055555555555, 0.4329861111111111, 1.3727083333333334, 0.043055555555555555, 0.4530324074074074, 0.347662037037037, 1.657037037037037, 0.3075462962962963, 0.45555555555555555, 0.21666666666666667, 0.041666666666666664, 0.36868055555555557, 0.023587962962962963, 1.5348148148148149, 0.9803240740740741, 0.14953703703703702, 0.23402777777777778, 1.1006944444444444, 0.8188657407407407, 0.6329861111111111, 0.0, 0.6967592592592593, 0.12199074074074075, 0.5960648148148148, 0.6337962962962963 ], "type_event": [ 0, 7, 8, 6, 0, 7, 10, 10, 7, 4, 11, 4, 19, 3, 6, 1, 4, 8, 1, 4, 1, 16, 4, 7, 16, 11, 8, 4, 6, 7, 2, 10, 7, 7, 16, 1, 11, 3, 1, 0, 6, 0, 7, 0, 8 ], "type_text": [ "Theft", "Battery", "Other Offense", "Criminal Damage", "Theft", "Battery", "Burglary", "Burglary", "Battery", "Motor Vehicle Theft", "Robbery", "Motor Vehicle Theft", "Homicide", "Deceptive Practice", "Criminal Damage", "Weapons Violation", "Motor Vehicle Theft", "Other Offense", "Weapons Violation", "Motor Vehicle Theft", "Weapons Violation", "Narcotics", "Motor Vehicle Theft", "Battery", "Narcotics", "Robbery", "Other Offense", "Motor Vehicle Theft", "Criminal Damage", "Battery", "Sex Offense", "Burglary", "Battery", "Battery", "Narcotics", "Weapons Violation", "Robbery", "Deceptive Practice", "Weapons Violation", "Theft", "Criminal Damage", "Theft", "Battery", "Theft", "Other Offense" ], "description": "The sequence of crime incidents begins with theft and battery occurring within the first month, followed by a mix of other offenses and property crimes that appear in the subsequent months. A notable clustering of battery incidents is observed around the 5 to 6-month mark, while motor vehicle thefts increase significantly between months 6 and 13. Towards the latter part of the timeline, there is a rise in narcotics and weapons violations, alongside a consistent presence of theft and criminal damage incidents. The sequence shows a gradual escalation in the variety of crime types over time, with certain offenses like robbery and motor vehicle theft becoming more prominent in the later months." }, { "dim_process": 20, "seq_idx": 308, "seq_len": 44, "time_since_start": [ 0.0, 0.3997222222222222, 0.5941666666666666, 0.9856481481481482, 1.6572453703703705, 2.487037037037037, 2.794652777777778, 4.021574074074074, 4.362939814814815, 4.872523148148148, 5.741203703703704, 6.064814814814815, 6.724537037037037, 7.732222222222222, 7.989120370370371, 10.191550925925926, 10.49537037037037, 10.537268518518518, 11.678703703703704, 11.749328703703704, 11.774513888888889, 12.998148148148148, 13.673842592592592, 13.943541666666667, 14.630092592592593, 14.997685185185185, 15.299351851851851, 15.56412037037037, 15.56861111111111, 16.132060185185185, 16.778703703703705, 16.99011574074074, 17.043287037037036, 17.810648148148147, 19.003703703703703, 20.31736111111111, 21.399837962962962, 21.798148148148147, 22.383587962962963, 22.39953703703704, 22.40335648148148, 22.523796296296297, 22.741203703703704, 23.03599537037037 ], "time_since_last_event": [ 0.0, 0.3997222222222222, 0.19444444444444445, 0.3914814814814815, 0.6715972222222222, 0.8297916666666667, 0.3076157407407407, 1.2269212962962963, 0.3413657407407407, 0.5095833333333334, 0.8686805555555556, 0.3236111111111111, 0.6597222222222222, 1.0076851851851851, 0.25689814814814815, 2.2024305555555554, 0.3038194444444444, 0.04189814814814815, 1.1414351851851852, 0.070625, 0.025185185185185185, 1.2236342592592593, 0.6756944444444445, 0.26969907407407406, 0.6865509259259259, 0.3675925925925926, 0.3016666666666667, 0.2647685185185185, 0.0044907407407407405, 0.5634490740740741, 0.6466435185185185, 0.21141203703703704, 0.05317129629629629, 0.7673611111111112, 1.1930555555555555, 1.3136574074074074, 1.082476851851852, 0.3983101851851852, 0.5854398148148148, 0.015949074074074074, 0.0038194444444444443, 0.12043981481481482, 0.2174074074074074, 0.2947916666666667 ], "type_event": [ 7, 7, 8, 5, 9, 0, 0, 7, 7, 7, 0, 11, 7, 5, 8, 4, 6, 3, 7, 4, 6, 6, 4, 7, 3, 11, 11, 11, 11, 6, 6, 5, 6, 0, 11, 6, 1, 6, 7, 6, 7, 8, 6, 6 ], "type_text": [ "Battery", "Battery", "Other Offense", "Criminal Trespass", "Assault", "Theft", "Theft", "Battery", "Battery", "Battery", "Theft", "Robbery", "Battery", "Criminal Trespass", "Other Offense", "Motor Vehicle Theft", "Criminal Damage", "Deceptive Practice", "Battery", "Motor Vehicle Theft", "Criminal Damage", "Criminal Damage", "Motor Vehicle Theft", "Battery", "Deceptive Practice", "Robbery", "Robbery", "Robbery", "Robbery", "Criminal Damage", "Criminal Damage", "Criminal Trespass", "Criminal Damage", "Theft", "Robbery", "Criminal Damage", "Weapons Violation", "Criminal Damage", "Battery", "Criminal Damage", "Battery", "Other Offense", "Criminal Damage", "Criminal Damage" ], "description": "The sequence of crime incidents shows a pattern where battery offenses occur frequently in the early months, followed by a mix of thefts and other offenses. As time progresses, there is a notable increase in the variety of crime types, particularly criminal damage and robbery, which cluster in the later months. Motor vehicle thefts also appear later in the timeline, indicating a shift in the nature of incidents over time. Overall, the data reflects an initial concentration of battery incidents that transitions into a broader range of offenses as the timeline advances." }, { "dim_process": 20, "seq_idx": 309, "seq_len": 39, "time_since_start": [ 0.0, 0.175, 1.8791666666666667, 2.0375, 2.475324074074074, 2.60125, 3.7583333333333333, 4.398611111111111, 4.468055555555556, 4.726458333333333, 4.934027777777778, 5.094675925925926, 5.543055555555555, 5.824722222222222, 6.165115740740741, 6.440277777777778, 8.290972222222223, 8.291666666666666, 8.819444444444445, 9.259722222222223, 9.597916666666666, 9.705555555555556, 9.962314814814814, 12.033287037037036, 12.100787037037037, 12.303819444444445, 12.430208333333333, 12.908333333333333, 13.754166666666666, 14.591666666666667, 14.739930555555556, 15.476828703703704, 16.86199074074074, 16.89902777777778, 18.3, 18.379166666666666, 19.80763888888889, 20.91724537037037, 22.09451388888889 ], "time_since_last_event": [ 0.0, 0.175, 1.7041666666666666, 0.15833333333333333, 0.4378240740740741, 0.1259259259259259, 1.1570833333333332, 0.6402777777777777, 0.06944444444444445, 0.25840277777777776, 0.20756944444444445, 0.16064814814814815, 0.44837962962962963, 0.2816666666666667, 0.3403935185185185, 0.275162037037037, 1.8506944444444444, 0.0006944444444444445, 0.5277777777777778, 0.44027777777777777, 0.33819444444444446, 0.1076388888888889, 0.25675925925925924, 2.070972222222222, 0.0675, 0.2030324074074074, 0.12638888888888888, 0.478125, 0.8458333333333333, 0.8375, 0.1482638888888889, 0.7368981481481481, 1.385162037037037, 0.037037037037037035, 1.4009722222222223, 0.07916666666666666, 1.4284722222222221, 1.1096064814814814, 1.1772685185185185 ], "type_event": [ 4, 3, 14, 6, 7, 1, 3, 8, 6, 9, 9, 3, 1, 1, 7, 4, 9, 6, 6, 0, 0, 4, 7, 7, 0, 7, 9, 10, 3, 0, 1, 7, 3, 3, 10, 4, 8, 7, 6 ], "type_text": [ "Motor Vehicle Theft", "Deceptive Practice", "Criminal Sexual Assault", "Criminal Damage", "Battery", "Weapons Violation", "Deceptive Practice", "Other Offense", "Criminal Damage", "Assault", "Assault", "Deceptive Practice", "Weapons Violation", "Weapons Violation", "Battery", "Motor Vehicle Theft", "Assault", "Criminal Damage", "Criminal Damage", "Theft", "Theft", "Motor Vehicle Theft", "Battery", "Battery", "Theft", "Battery", "Assault", "Burglary", "Deceptive Practice", "Theft", "Weapons Violation", "Battery", "Deceptive Practice", "Deceptive Practice", "Burglary", "Motor Vehicle Theft", "Other Offense", "Battery", "Criminal Damage" ], "description": "The sequence of crime incidents begins with a motor vehicle theft and a deceptive practice occurring early on, followed by a mix of serious offenses like criminal sexual assault and battery within the first few months. As time progresses, there is a noticeable clustering of assaults, batteries, and various thefts around the middle of the timeline, with deceptive practices appearing intermittently. Towards the latter part of the sequence, incidents of burglary and motor vehicle theft re-emerge, alongside a continued presence of criminal damage and other offenses. Overall, the data shows a trend of increasing complexity in crime types as time advances, with certain offenses like battery and theft occurring more frequently in the later months." }, { "dim_process": 20, "seq_idx": 310, "seq_len": 58, "time_since_start": [ 0.0, 0.13472222222222222, 0.3590277777777778, 0.651087962962963, 1.7499305555555555, 1.75, 1.8877314814814814, 2.147222222222222, 4.2275, 5.018055555555556, 6.230208333333334, 7.347222222222222, 7.944212962962963, 8.180092592592592, 8.383796296296296, 8.418055555555556, 8.990277777777777, 9.079166666666667, 9.224305555555556, 9.631041666666667, 10.364351851851852, 10.589583333333334, 10.809027777777779, 10.883333333333333, 11.386111111111111, 11.438888888888888, 11.49724537037037, 11.797222222222222, 12.120486111111111, 12.4875, 12.575694444444444, 12.654814814814815, 12.729861111111111, 13.73125, 13.784722222222221, 14.08576388888889, 14.282638888888888, 15.646064814814816, 15.753819444444444, 16.847916666666666, 17.590694444444445, 17.763912037037038, 18.052777777777777, 18.128935185185185, 18.60972222222222, 19.221527777777776, 19.83337962962963, 20.16111111111111, 20.75486111111111, 20.95, 21.742361111111112, 22.08159722222222, 22.379166666666666, 22.629398148148148, 22.68773148148148, 22.750925925925927, 23.289444444444445, 23.415277777777778 ], "time_since_last_event": [ 0.0, 0.13472222222222222, 0.22430555555555556, 0.2920601851851852, 1.0988425925925926, 6.944444444444444e-05, 0.13773148148148148, 0.25949074074074074, 2.080277777777778, 0.7905555555555556, 1.2121527777777779, 1.117013888888889, 0.5969907407407408, 0.23587962962962963, 0.2037037037037037, 0.03425925925925926, 0.5722222222222222, 0.08888888888888889, 0.1451388888888889, 0.40673611111111113, 0.7333101851851852, 0.22523148148148148, 0.21944444444444444, 0.07430555555555556, 0.5027777777777778, 0.05277777777777778, 0.05835648148148148, 0.29997685185185186, 0.3232638888888889, 0.36701388888888886, 0.08819444444444445, 0.07912037037037037, 0.07504629629629629, 1.0013888888888889, 0.05347222222222222, 0.30104166666666665, 0.196875, 1.3634259259259258, 0.10775462962962963, 1.0940972222222223, 0.7427777777777778, 0.1732175925925926, 0.28886574074074073, 0.07615740740740741, 0.480787037037037, 0.6118055555555556, 0.6118518518518519, 0.32773148148148146, 0.59375, 0.1951388888888889, 0.7923611111111111, 0.3392361111111111, 0.29756944444444444, 0.2502314814814815, 0.058333333333333334, 0.06319444444444444, 0.5385185185185185, 0.12583333333333332 ], "type_event": [ 0, 0, 9, 1, 0, 7, 4, 4, 0, 6, 4, 10, 6, 4, 3, 4, 4, 4, 4, 7, 4, 9, 4, 0, 7, 4, 6, 10, 11, 0, 4, 7, 4, 0, 3, 0, 0, 9, 4, 9, 4, 2, 8, 7, 8, 7, 1, 0, 2, 8, 0, 4, 3, 7, 6, 6, 7, 7 ], "type_text": [ "Theft", "Theft", "Assault", "Weapons Violation", "Theft", "Battery", "Motor Vehicle Theft", "Motor Vehicle Theft", "Theft", "Criminal Damage", "Motor Vehicle Theft", "Burglary", "Criminal Damage", "Motor Vehicle Theft", "Deceptive Practice", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Battery", "Motor Vehicle Theft", "Assault", "Motor Vehicle Theft", "Theft", "Battery", "Motor Vehicle Theft", "Criminal Damage", "Burglary", "Robbery", "Theft", "Motor Vehicle Theft", "Battery", "Motor Vehicle Theft", "Theft", "Deceptive Practice", "Theft", "Theft", "Assault", "Motor Vehicle Theft", "Assault", "Motor Vehicle Theft", "Sex Offense", "Other Offense", "Battery", "Other Offense", "Battery", "Weapons Violation", "Theft", "Sex Offense", "Other Offense", "Theft", "Motor Vehicle Theft", "Deceptive Practice", "Battery", "Criminal Damage", "Criminal Damage", "Battery", "Battery" ], "description": "The sequence of crime incidents shows a notable prevalence of theft-related offenses occurring early on, particularly within the first year. As time progresses, there is a significant increase in motor vehicle thefts, which become more frequent in the latter half of the timeline. Battery incidents also appear in clusters, particularly in the later months, alongside a mix of other offenses such as assault and criminal damage. Deceptive practices and sex offenses are sporadic but emerge towards the end of the sequence, indicating a shift in the types of crimes reported over time. Overall, the data reflects a trend of increasing criminal activity, with certain types of crimes, like motor vehicle theft and battery, becoming more prominent as time progresses." }, { "dim_process": 20, "seq_idx": 311, "seq_len": 66, "time_since_start": [ 0.0, 0.25127314814814816, 0.7766203703703703, 0.7785416666666667, 1.7215277777777778, 2.0944444444444446, 2.872939814814815, 3.9611111111111112, 4.147916666666666, 4.201388888888889, 4.418055555555555, 4.939583333333333, 5.028356481481482, 5.162731481481481, 5.329166666666667, 5.894444444444445, 6.72900462962963, 6.741666666666666, 6.899421296296296, 6.992824074074074, 7.01875, 7.065972222222222, 7.3069444444444445, 7.406944444444444, 7.573611111111111, 7.7, 8.952083333333333, 9.4125, 9.996967592592593, 10.011111111111111, 11.06875, 11.131944444444445, 11.860416666666667, 12.834606481481481, 13.334953703703704, 13.35949074074074, 13.665416666666667, 13.859722222222222, 13.95949074074074, 14.434375, 14.728472222222223, 15.158333333333333, 15.261944444444444, 15.881944444444445, 16.28099537037037, 16.28287037037037, 16.606967592592593, 16.79861111111111, 16.80150462962963, 16.99488425925926, 17.104861111111113, 17.165300925925926, 18.09722222222222, 18.26388888888889, 18.588194444444444, 18.865972222222222, 18.944444444444443, 19.733333333333334, 19.81388888888889, 19.933888888888887, 20.251203703703705, 20.33888888888889, 20.915277777777778, 21.46736111111111, 22.158287037037038, 22.188194444444445 ], "time_since_last_event": [ 0.0, 0.25127314814814816, 0.5253472222222222, 0.0019212962962962964, 0.9429861111111111, 0.3729166666666667, 0.7784953703703704, 1.0881712962962964, 0.18680555555555556, 0.05347222222222222, 0.21666666666666667, 0.5215277777777778, 0.08877314814814814, 0.134375, 0.16643518518518519, 0.5652777777777778, 0.8345601851851852, 0.012662037037037038, 0.15775462962962963, 0.09340277777777778, 0.025925925925925925, 0.04722222222222222, 0.24097222222222223, 0.1, 0.16666666666666666, 0.12638888888888888, 1.2520833333333334, 0.46041666666666664, 0.5844675925925926, 0.014143518518518519, 1.0576388888888888, 0.06319444444444444, 0.7284722222222222, 0.9741898148148148, 0.5003472222222223, 0.024537037037037038, 0.30592592592592593, 0.19430555555555556, 0.09976851851851852, 0.47488425925925926, 0.29409722222222223, 0.42986111111111114, 0.10361111111111111, 0.62, 0.39905092592592595, 0.001875, 0.3240972222222222, 0.19164351851851852, 0.0028935185185185184, 0.19337962962962962, 0.10997685185185185, 0.060439814814814814, 0.9319212962962963, 0.16666666666666666, 0.32430555555555557, 0.2777777777777778, 0.07847222222222222, 0.7888888888888889, 0.08055555555555556, 0.12, 0.3173148148148148, 0.08768518518518519, 0.5763888888888888, 0.5520833333333334, 0.6909259259259259, 0.029907407407407407 ], "type_event": [ 7, 9, 7, 6, 0, 11, 7, 4, 7, 0, 10, 4, 3, 8, 10, 0, 6, 6, 6, 7, 0, 4, 7, 6, 0, 4, 7, 7, 7, 6, 7, 6, 4, 4, 4, 4, 7, 4, 4, 4, 0, 4, 0, 0, 6, 4, 6, 7, 7, 9, 4, 8, 0, 4, 6, 6, 4, 6, 10, 10, 9, 0, 7, 0, 0, 7 ], "type_text": [ "Battery", "Assault", "Battery", "Criminal Damage", "Theft", "Robbery", "Battery", "Motor Vehicle Theft", "Battery", "Theft", "Burglary", "Motor Vehicle Theft", "Deceptive Practice", "Other Offense", "Burglary", "Theft", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Battery", "Theft", "Motor Vehicle Theft", "Battery", "Criminal Damage", "Theft", "Motor Vehicle Theft", "Battery", "Battery", "Battery", "Criminal Damage", "Battery", "Criminal Damage", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Battery", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Theft", "Theft", "Criminal Damage", "Motor Vehicle Theft", "Criminal Damage", "Battery", "Battery", "Assault", "Motor Vehicle Theft", "Other Offense", "Theft", "Motor Vehicle Theft", "Criminal Damage", "Criminal Damage", "Motor Vehicle Theft", "Criminal Damage", "Burglary", "Burglary", "Assault", "Theft", "Battery", "Theft", "Theft", "Battery" ], "description": "The sequence of crime incidents shows a diverse range of offenses occurring over time, with notable clusters of specific crime types. Initially, battery and assault incidents are reported, followed by a mix of theft, robbery, and criminal damage in the early months. As time progresses, there is a significant increase in motor vehicle thefts, particularly in the later months, alongside a consistent presence of battery and theft incidents. Criminal damage appears frequently throughout the timeline, often occurring in close succession. Overall, while various crime types are represented, motor vehicle thefts and batteries show a pronounced prevalence as the sequence unfolds." }, { "dim_process": 20, "seq_idx": 312, "seq_len": 50, "time_since_start": [ 0.0, 0.21557870370370372, 0.7825925925925926, 0.9107175925925926, 1.5978703703703703, 1.8950925925925926, 2.6818981481481483, 2.689537037037037, 3.0884953703703704, 3.3496064814814814, 3.7027314814814813, 4.76525462962963, 4.938611111111111, 5.399259259259259, 5.758287037037037, 6.761296296296297, 6.889537037037037, 7.04962962962963, 7.274953703703703, 7.845787037037037, 8.765231481481482, 8.801342592592592, 9.443240740740741, 10.853657407407407, 11.020092592592592, 11.88724537037037, 14.190810185185185, 14.367314814814815, 14.513842592592592, 15.655162037037037, 15.870787037037037, 15.931203703703703, 15.963958333333334, 16.234166666666667, 17.017430555555556, 17.215925925925927, 17.37935185185185, 18.25372685185185, 18.586064814814815, 18.794398148148147, 19.048680555555556, 19.55273148148148, 19.998564814814817, 20.318703703703704, 20.856203703703702, 21.051087962962963, 21.25224537037037, 21.824953703703702, 21.998564814814817, 22.231921296296296 ], "time_since_last_event": [ 0.0, 0.21557870370370372, 0.5670138888888889, 0.128125, 0.6871527777777777, 0.2972222222222222, 0.7868055555555555, 0.007638888888888889, 0.39895833333333336, 0.2611111111111111, 0.353125, 1.062523148148148, 0.17335648148148147, 0.46064814814814814, 0.3590277777777778, 1.0030092592592592, 0.12824074074074074, 0.1600925925925926, 0.22532407407407407, 0.5708333333333333, 0.9194444444444444, 0.03611111111111111, 0.6418981481481482, 1.4104166666666667, 0.16643518518518519, 0.8671527777777778, 2.303564814814815, 0.17650462962962962, 0.14652777777777778, 1.1413194444444446, 0.215625, 0.06041666666666667, 0.03275462962962963, 0.27020833333333333, 0.7832638888888889, 0.19849537037037038, 0.16342592592592592, 0.874375, 0.332337962962963, 0.20833333333333334, 0.25428240740740743, 0.5040509259259259, 0.44583333333333336, 0.32013888888888886, 0.5375, 0.19488425925925926, 0.2011574074074074, 0.5727083333333334, 0.1736111111111111, 0.23335648148148147 ], "type_event": [ 7, 0, 0, 6, 7, 7, 0, 0, 14, 7, 9, 8, 4, 7, 7, 6, 6, 1, 3, 0, 0, 7, 9, 7, 4, 7, 7, 0, 0, 6, 6, 0, 12, 7, 0, 9, 7, 18, 5, 0, 0, 4, 3, 4, 6, 0, 0, 6, 8, 0 ], "type_text": [ "Battery", "Theft", "Theft", "Criminal Damage", "Battery", "Battery", "Theft", "Theft", "Criminal Sexual Assault", "Battery", "Assault", "Other Offense", "Motor Vehicle Theft", "Battery", "Battery", "Criminal Damage", "Criminal Damage", "Weapons Violation", "Deceptive Practice", "Theft", "Theft", "Battery", "Assault", "Battery", "Motor Vehicle Theft", "Battery", "Battery", "Theft", "Theft", "Criminal Damage", "Criminal Damage", "Theft", "Arson", "Battery", "Theft", "Assault", "Battery", "Public Peace Violation", "Criminal Trespass", "Theft", "Theft", "Motor Vehicle Theft", "Deceptive Practice", "Motor Vehicle Theft", "Criminal Damage", "Theft", "Theft", "Criminal Damage", "Other Offense", "Theft" ], "description": "The sequence of crime incidents shows a diverse range of offenses occurring over time, with notable clusters of theft and battery incidents. Initially, theft incidents appear early in the timeline, followed by a mix of battery and criminal damage events. As time progresses, there is an observable increase in the frequency of thefts, particularly around the later months, while battery incidents also remain prevalent throughout the sequence. Additionally, there are sporadic occurrences of other offenses, such as motor vehicle theft and criminal damage, indicating a varied pattern of crime types over the observed period." }, { "dim_process": 20, "seq_idx": 313, "seq_len": 52, "time_since_start": [ 0.0, 0.13472222222222222, 0.6998148148148148, 2.140277777777778, 2.448564814814815, 4.061736111111111, 4.350231481481481, 4.402777777777778, 4.882569444444444, 5.970277777777778, 6.96875, 7.175509259259259, 7.247592592592593, 7.811805555555556, 8.291666666666666, 8.95962962962963, 9.130162037037037, 9.322916666666666, 10.13800925925926, 10.297268518518518, 10.55888888888889, 10.844444444444445, 10.977083333333333, 11.579027777777778, 11.677662037037036, 11.806643518518518, 12.424305555555556, 12.940277777777778, 13.86138888888889, 14.60763888888889, 14.866666666666667, 14.87337962962963, 14.940972222222221, 15.436805555555555, 15.9125, 15.97638888888889, 16.097384259259258, 16.193055555555556, 16.37326388888889, 16.555555555555557, 17.00173611111111, 17.285416666666666, 17.84722222222222, 17.927291666666665, 18.191203703703703, 20.647222222222222, 20.80909722222222, 20.994444444444444, 21.011111111111113, 21.70277777777778, 21.713541666666668, 22.836111111111112 ], "time_since_last_event": [ 0.0, 0.13472222222222222, 0.5650925925925926, 1.440462962962963, 0.308287037037037, 1.6131712962962963, 0.2884953703703704, 0.0525462962962963, 0.47979166666666667, 1.0877083333333333, 0.9984722222222222, 0.20675925925925925, 0.07208333333333333, 0.564212962962963, 0.4798611111111111, 0.667962962962963, 0.1705324074074074, 0.19275462962962964, 0.8150925925925926, 0.15925925925925927, 0.2616203703703704, 0.28555555555555556, 0.1326388888888889, 0.6019444444444444, 0.09863425925925925, 0.12898148148148147, 0.617662037037037, 0.5159722222222223, 0.9211111111111111, 0.74625, 0.2590277777777778, 0.006712962962962963, 0.06759259259259259, 0.49583333333333335, 0.4756944444444444, 0.06388888888888888, 0.12099537037037036, 0.0956712962962963, 0.18020833333333333, 0.18229166666666666, 0.4461805555555556, 0.28368055555555555, 0.5618055555555556, 0.08006944444444444, 0.26391203703703703, 2.4560185185185186, 0.161875, 0.18534722222222222, 0.016666666666666666, 0.6916666666666667, 0.010763888888888889, 1.1225694444444445 ], "type_event": [ 7, 0, 3, 0, 9, 4, 9, 9, 7, 7, 9, 7, 9, 10, 4, 4, 7, 11, 7, 1, 10, 7, 7, 9, 4, 0, 4, 3, 10, 7, 7, 6, 7, 7, 7, 1, 7, 9, 7, 17, 8, 6, 0, 7, 7, 7, 7, 0, 4, 3, 4, 0 ], "type_text": [ "Battery", "Theft", "Deceptive Practice", "Theft", "Assault", "Motor Vehicle Theft", "Assault", "Assault", "Battery", "Battery", "Assault", "Battery", "Assault", "Burglary", "Motor Vehicle Theft", "Motor Vehicle Theft", "Battery", "Robbery", "Battery", "Weapons Violation", "Burglary", "Battery", "Battery", "Assault", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Deceptive Practice", "Burglary", "Battery", "Battery", "Criminal Damage", "Battery", "Battery", "Battery", "Weapons Violation", "Battery", "Assault", "Battery", "Stalking", "Other Offense", "Criminal Damage", "Theft", "Battery", "Battery", "Battery", "Battery", "Theft", "Motor Vehicle Theft", "Deceptive Practice", "Motor Vehicle Theft", "Theft" ], "description": "The sequence of crime incidents shows a variety of offenses occurring over time, with certain types of crimes appearing more frequently at specific intervals. Initially, there are incidents of battery and theft, followed by a mix of assaults and motor vehicle thefts around the two to four-month mark. As time progresses, there is a noticeable increase in battery incidents, particularly between the 10 to 20-month range, alongside a consistent presence of theft and motor vehicle theft. Burglary incidents cluster around the 7 to 14-month period, while weapons violations and criminal damage appear later in the sequence. Overall, battery and theft are the most recurrent offenses throughout the timeline." }, { "dim_process": 20, "seq_idx": 314, "seq_len": 37, "time_since_start": [ 0.0, 0.3887962962962963, 1.1150694444444444, 1.9841203703703705, 2.283703703703704, 2.511712962962963, 2.933472222222222, 3.335162037037037, 3.5970370370370373, 4.116087962962963, 4.1994444444444445, 5.394583333333333, 5.823819444444444, 5.979305555555555, 6.412638888888889, 6.442962962962963, 7.552986111111111, 7.641805555555556, 7.878009259259259, 8.293657407407407, 8.927152777777778, 10.02513888888889, 10.421481481481482, 11.610555555555555, 12.58898148148148, 13.157453703703704, 13.47236111111111, 13.895972222222222, 15.150324074074074, 18.514375, 18.755046296296296, 19.25210648148148, 19.788587962962964, 20.964027777777776, 21.31652777777778, 21.582337962962963, 23.847361111111113 ], "time_since_last_event": [ 0.0, 0.3887962962962963, 0.7262731481481481, 0.8690509259259259, 0.2995833333333333, 0.22800925925925927, 0.4217592592592593, 0.4016898148148148, 0.261875, 0.5190509259259259, 0.08335648148148148, 1.195138888888889, 0.4292361111111111, 0.1554861111111111, 0.43333333333333335, 0.030324074074074073, 1.1100231481481482, 0.08881944444444445, 0.2362037037037037, 0.41564814814814816, 0.6334953703703704, 1.097986111111111, 0.3963425925925926, 1.1890740740740742, 0.9784259259259259, 0.5684722222222223, 0.3149074074074074, 0.4236111111111111, 1.254351851851852, 3.364050925925926, 0.2406712962962963, 0.4970601851851852, 0.5364814814814814, 1.1754398148148149, 0.3525, 0.2658101851851852, 2.265023148148148 ], "type_event": [ 6, 9, 7, 9, 9, 9, 0, 7, 4, 9, 7, 6, 6, 6, 11, 9, 1, 0, 8, 9, 11, 8, 9, 5, 7, 9, 10, 10, 0, 6, 7, 7, 9, 14, 7, 7, 4 ], "type_text": [ "Criminal Damage", "Assault", "Battery", "Assault", "Assault", "Assault", "Theft", "Battery", "Motor Vehicle Theft", "Assault", "Battery", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Robbery", "Assault", "Weapons Violation", "Theft", "Other Offense", "Assault", "Robbery", "Other Offense", "Assault", "Criminal Trespass", "Battery", "Assault", "Burglary", "Burglary", "Theft", "Criminal Damage", "Battery", "Battery", "Assault", "Criminal Sexual Assault", "Battery", "Battery", "Motor Vehicle Theft" ], "description": "The sequence of crime incidents shows a pattern where assaults and batteries occur frequently in the earlier months, with multiple incidents clustered within the first year. Criminal damage incidents also appear prominently, particularly in the middle of the timeline. As time progresses, there is a noticeable emergence of robbery and theft incidents, while the latter part of the sequence features a mix of violent crimes and property offenses, including a peak in battery incidents. Overall, the events display a trend of increasing variety in crime types as the timeline extends." }, { "dim_process": 20, "seq_idx": 315, "seq_len": 51, "time_since_start": [ 0.0, 0.5003703703703704, 0.5771064814814815, 0.7062731481481481, 0.8173842592592593, 0.8665277777777778, 0.8708564814814815, 0.9848148148148148, 1.1692592592592592, 3.169814814814815, 4.165972222222222, 4.195625, 5.442106481481481, 5.536828703703704, 5.77849537037037, 5.807662037037037, 6.74724537037037, 7.103425925925926, 7.9153009259259255, 7.983356481481482, 9.01113425925926, 9.503842592592592, 9.88048611111111, 9.894467592592592, 10.55974537037037, 10.828287037037038, 11.043078703703705, 11.664027777777777, 12.029189814814815, 12.56599537037037, 13.041689814814815, 13.05210648148148, 13.70835648148148, 13.9875, 14.700023148148148, 15.306851851851851, 15.547939814814814, 15.68349537037037, 16.596226851851853, 16.953263888888888, 16.99789351851852, 17.550046296296298, 18.09840277777778, 18.55349537037037, 19.35974537037037, 20.48439814814815, 21.66386574074074, 21.78266203703704, 21.830925925925925, 22.05002314814815, 24.049097222222223 ], "time_since_last_event": [ 0.0, 0.5003703703703704, 0.07673611111111112, 0.12916666666666668, 0.1111111111111111, 0.04914351851851852, 0.0043287037037037035, 0.11395833333333333, 0.18444444444444444, 2.0005555555555556, 0.9961574074074074, 0.029652777777777778, 1.2464814814814815, 0.09472222222222222, 0.24166666666666667, 0.029166666666666667, 0.9395833333333333, 0.35618055555555556, 0.811875, 0.06805555555555555, 1.0277777777777777, 0.49270833333333336, 0.3766435185185185, 0.013981481481481482, 0.6652777777777777, 0.2685416666666667, 0.21479166666666666, 0.6209490740740741, 0.36516203703703703, 0.5368055555555555, 0.4756944444444444, 0.010416666666666666, 0.65625, 0.27914351851851854, 0.7125231481481481, 0.6068287037037037, 0.24108796296296298, 0.13555555555555557, 0.9127314814814815, 0.35703703703703704, 0.04462962962962963, 0.5521527777777778, 0.5483564814814815, 0.4550925925925926, 0.80625, 1.1246527777777777, 1.1794675925925926, 0.1187962962962963, 0.04826388888888889, 0.21909722222222222, 1.999074074074074 ], "type_event": [ 7, 11, 9, 6, 6, 7, 0, 3, 9, 7, 8, 9, 7, 6, 6, 4, 0, 2, 9, 6, 9, 6, 11, 11, 6, 1, 4, 0, 4, 6, 4, 7, 5, 6, 6, 7, 4, 4, 10, 1, 1, 4, 9, 0, 4, 0, 0, 4, 4, 10, 9 ], "type_text": [ "Battery", "Robbery", "Assault", "Criminal Damage", "Criminal Damage", "Battery", "Theft", "Deceptive Practice", "Assault", "Battery", "Other Offense", "Assault", "Battery", "Criminal Damage", "Criminal Damage", "Motor Vehicle Theft", "Theft", "Sex Offense", "Assault", "Criminal Damage", "Assault", "Criminal Damage", "Robbery", "Robbery", "Criminal Damage", "Weapons Violation", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Criminal Damage", "Motor Vehicle Theft", "Battery", "Criminal Trespass", "Criminal Damage", "Criminal Damage", "Battery", "Motor Vehicle Theft", "Motor Vehicle Theft", "Burglary", "Weapons Violation", "Weapons Violation", "Motor Vehicle Theft", "Assault", "Theft", "Motor Vehicle Theft", "Theft", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Burglary", "Assault" ], "description": "The sequence of crime incidents shows a varied pattern over time, with the initial incidents occurring within the first month, including battery, robbery, and assault. There is a noticeable cluster of criminal damage incidents occurring between the fifth and tenth months. Assaults appear sporadically throughout the timeline, with a slight increase in frequency around the seventh month. Motor vehicle theft incidents begin to emerge more prominently after the fifth month, culminating in a significant concentration in the latter part of the sequence. Overall, the data indicates a mix of crime types with certain events, like assaults and motor vehicle thefts, becoming more prevalent as time progresses." }, { "dim_process": 20, "seq_idx": 316, "seq_len": 56, "time_since_start": [ 0.0, 0.4756944444444444, 0.9481944444444445, 1.067824074074074, 1.2449074074074074, 1.2830555555555556, 1.6381944444444445, 1.68125, 2.9426157407407407, 3.2055555555555557, 3.6586805555555557, 3.660416666666667, 3.675, 4.211805555555555, 4.320833333333334, 4.764675925925926, 5.5784722222222225, 6.209722222222222, 6.854861111111111, 7.982986111111111, 8.256944444444445, 8.35625, 8.921111111111111, 9.765972222222222, 10.49375, 10.946342592592593, 11.057638888888889, 11.36111111111111, 11.525462962962964, 11.547546296296296, 11.713888888888889, 11.897337962962963, 12.4125, 13.89236111111111, 13.933981481481482, 14.234722222222222, 14.472916666666666, 14.493402777777778, 16.23865740740741, 16.378703703703703, 16.736180555555556, 17.597592592592594, 18.16875, 18.451851851851853, 18.75347222222222, 18.79261574074074, 18.804212962962964, 18.840972222222224, 19.530671296296298, 19.846203703703704, 21.286296296296296, 21.404814814814817, 21.554537037037036, 21.782060185185184, 22.441666666666666, 23.377083333333335 ], "time_since_last_event": [ 0.0, 0.4756944444444444, 0.4725, 0.11962962962962963, 0.17708333333333334, 0.038148148148148146, 0.3551388888888889, 0.043055555555555555, 1.2613657407407408, 0.2629398148148148, 0.453125, 0.001736111111111111, 0.014583333333333334, 0.5368055555555555, 0.10902777777777778, 0.44384259259259257, 0.8137962962962964, 0.63125, 0.6451388888888889, 1.128125, 0.27395833333333336, 0.09930555555555555, 0.5648611111111111, 0.8448611111111111, 0.7277777777777777, 0.4525925925925926, 0.1112962962962963, 0.3034722222222222, 0.16435185185185186, 0.022083333333333333, 0.1663425925925926, 0.18344907407407407, 0.515162037037037, 1.479861111111111, 0.04162037037037037, 0.30074074074074075, 0.23819444444444443, 0.02048611111111111, 1.7452546296296296, 0.1400462962962963, 0.35747685185185185, 0.8614120370370371, 0.5711574074074074, 0.2831018518518518, 0.30162037037037037, 0.03914351851851852, 0.011597222222222222, 0.03675925925925926, 0.689699074074074, 0.3155324074074074, 1.4400925925925927, 0.11851851851851852, 0.14972222222222223, 0.22752314814814814, 0.6596064814814815, 0.9354166666666667 ], "type_event": [ 9, 0, 9, 7, 6, 11, 5, 6, 8, 7, 7, 0, 19, 0, 7, 7, 10, 8, 4, 0, 7, 14, 9, 0, 4, 7, 6, 10, 7, 7, 9, 7, 10, 9, 14, 10, 0, 6, 6, 9, 0, 7, 6, 6, 10, 1, 6, 9, 9, 7, 9, 12, 9, 8, 7, 7 ], "type_text": [ "Assault", "Theft", "Assault", "Battery", "Criminal Damage", "Robbery", "Criminal Trespass", "Criminal Damage", "Other Offense", "Battery", "Battery", "Theft", "Homicide", "Theft", "Battery", "Battery", "Burglary", "Other Offense", "Motor Vehicle Theft", "Theft", "Battery", "Criminal Sexual Assault", "Assault", "Theft", "Motor Vehicle Theft", "Battery", "Criminal Damage", "Burglary", "Battery", "Battery", "Assault", "Battery", "Burglary", "Assault", "Criminal Sexual Assault", "Burglary", "Theft", "Criminal Damage", "Criminal Damage", "Assault", "Theft", "Battery", "Criminal Damage", "Criminal Damage", "Burglary", "Weapons Violation", "Criminal Damage", "Assault", "Assault", "Battery", "Assault", "Arson", "Assault", "Other Offense", "Battery", "Battery" ], "description": "The sequence of crime incidents shows a progression of various crime types over time, with assaults and batteries occurring frequently in the earlier months. Theft incidents appear to be prevalent in the middle of the timeline, while burglaries and criminal damage incidents cluster towards the later months. Notably, there are instances of more severe crimes, such as homicide and arson, interspersed throughout the sequence. Overall, there is a noticeable increase in the variety and frequency of incidents as time progresses, with certain crime types, like battery and theft, appearing in close succession during specific periods." }, { "dim_process": 20, "seq_idx": 317, "seq_len": 39, "time_since_start": [ 0.0, 0.184375, 0.7616666666666667, 1.2883101851851853, 1.6069675925925926, 2.852199074074074, 3.027199074074074, 4.498726851851852, 5.448726851851852, 5.598032407407407, 5.711319444444444, 5.999421296296297, 6.19775462962963, 6.333472222222222, 6.364699074074074, 6.992476851851852, 7.339606481481481, 7.521643518518519, 7.699120370370371, 8.099467592592593, 8.861226851851852, 10.848032407407407, 10.87025462962963, 11.366087962962963, 11.65636574074074, 13.16025462962963, 13.77025462962963, 13.788310185185185, 14.072847222222222, 14.718518518518518, 14.971180555555556, 15.366087962962963, 16.48275462962963, 17.56238425925926, 20.38951388888889, 22.00497685185185, 22.54803240740741, 22.561921296296298, 22.83483796296296 ], "time_since_last_event": [ 0.0, 0.184375, 0.5772916666666666, 0.5266435185185185, 0.3186574074074074, 1.2452314814814816, 0.175, 1.4715277777777778, 0.95, 0.14930555555555555, 0.11328703703703703, 0.28810185185185183, 0.19833333333333333, 0.13571759259259258, 0.031226851851851853, 0.6277777777777778, 0.3471296296296296, 0.18203703703703702, 0.17747685185185186, 0.40034722222222224, 0.7617592592592592, 1.9868055555555555, 0.022222222222222223, 0.49583333333333335, 0.2902777777777778, 1.5038888888888888, 0.61, 0.018055555555555554, 0.28453703703703703, 0.6456712962962963, 0.25266203703703705, 0.39490740740740743, 1.1166666666666667, 1.0796296296296297, 2.8271296296296295, 1.6154629629629629, 0.5430555555555555, 0.013888888888888888, 0.27291666666666664 ], "type_event": [ 7, 9, 13, 13, 1, 10, 6, 0, 7, 0, 7, 7, 1, 1, 4, 7, 1, 13, 1, 1, 6, 0, 10, 0, 0, 9, 7, 5, 11, 7, 7, 0, 7, 7, 16, 8, 4, 0, 6 ], "type_text": [ "Battery", "Assault", "Offense Involving Children", "Offense Involving Children", "Weapons Violation", "Burglary", "Criminal Damage", "Theft", "Battery", "Theft", "Battery", "Battery", "Weapons Violation", "Weapons Violation", "Motor Vehicle Theft", "Battery", "Weapons Violation", "Offense Involving Children", "Weapons Violation", "Weapons Violation", "Criminal Damage", "Theft", "Burglary", "Theft", "Theft", "Assault", "Battery", "Criminal Trespass", "Robbery", "Battery", "Battery", "Theft", "Battery", "Battery", "Narcotics", "Other Offense", "Motor Vehicle Theft", "Theft", "Criminal Damage" ], "description": "The sequence of crime incidents shows a variety of crime types occurring over time, with certain patterns emerging. Initially, incidents such as Battery and Assault are reported, followed by a notable presence of Offenses Involving Children and Weapons Violations within the first year. As time progresses, there is a clustering of Theft and Battery incidents, particularly in the later months, along with sporadic occurrences of Criminal Damage and Motor Vehicle Theft. The sequence concludes with a diverse range of offenses, including Narcotics and Other Offenses, indicating a shift in the types of incidents reported as time advances." }, { "dim_process": 20, "seq_idx": 318, "seq_len": 42, "time_since_start": [ 0.0, 0.8607407407407407, 3.1322685185185186, 3.390138888888889, 5.248240740740741, 7.0161342592592595, 7.047314814814815, 7.44962962962963, 7.707569444444444, 8.686412037037037, 8.877291666666666, 10.075324074074073, 11.158657407407407, 11.570115740740741, 12.333657407407408, 12.508657407407407, 12.55587962962963, 12.617569444444445, 12.964212962962963, 13.058657407407408, 13.468287037037037, 13.53712962962963, 13.836203703703704, 13.880462962962962, 14.313171296296296, 15.421388888888888, 16.585046296296298, 16.611203703703705, 16.611435185185186, 17.374166666666667, 18.078796296296296, 18.12462962962963, 18.47912037037037, 18.806875, 19.178796296296298, 20.270416666666666, 20.54199074074074, 21.066296296296297, 21.537939814814816, 22.028842592592593, 22.347430555555555, 22.752407407407407 ], "time_since_last_event": [ 0.0, 0.8607407407407407, 2.2715277777777776, 0.25787037037037036, 1.858101851851852, 1.7678935185185185, 0.031180555555555555, 0.4023148148148148, 0.2579398148148148, 0.9788425925925925, 0.19087962962962962, 1.1980324074074074, 1.0833333333333333, 0.4114583333333333, 0.7635416666666667, 0.175, 0.04722222222222222, 0.061689814814814815, 0.34664351851851855, 0.09444444444444444, 0.4096296296296296, 0.0688425925925926, 0.29907407407407405, 0.04425925925925926, 0.4327083333333333, 1.1082175925925926, 1.1636574074074073, 0.026157407407407407, 0.0002314814814814815, 0.7627314814814815, 0.7046296296296296, 0.04583333333333333, 0.3544907407407407, 0.32775462962962965, 0.3719212962962963, 1.0916203703703704, 0.2715740740740741, 0.5243055555555556, 0.47164351851851855, 0.4909027777777778, 0.318587962962963, 0.40497685185185184 ], "type_event": [ 7, 4, 0, 8, 4, 7, 7, 8, 7, 1, 7, 4, 0, 7, 0, 4, 6, 19, 4, 9, 1, 6, 1, 12, 7, 7, 6, 1, 1, 7, 4, 6, 7, 1, 6, 9, 6, 9, 10, 11, 6, 7 ], "type_text": [ "Battery", "Motor Vehicle Theft", "Theft", "Other Offense", "Motor Vehicle Theft", "Battery", "Battery", "Other Offense", "Battery", "Weapons Violation", "Battery", "Motor Vehicle Theft", "Theft", "Battery", "Theft", "Motor Vehicle Theft", "Criminal Damage", "Homicide", "Motor Vehicle Theft", "Assault", "Weapons Violation", "Criminal Damage", "Weapons Violation", "Arson", "Battery", "Battery", "Criminal Damage", "Weapons Violation", "Weapons Violation", "Battery", "Motor Vehicle Theft", "Criminal Damage", "Battery", "Weapons Violation", "Criminal Damage", "Assault", "Criminal Damage", "Assault", "Burglary", "Robbery", "Criminal Damage", "Battery" ], "description": "The sequence of crime incidents shows a varied pattern over time, with certain types of crimes occurring more frequently in specific periods. Initially, incidents such as battery and motor vehicle theft are reported, with a noticeable clustering of battery incidents around the 7 to 15-month mark. As time progresses, there is an increase in the occurrence of weapons violations and criminal damage, particularly in the later months. Additionally, theft and motor vehicle theft appear multiple times, indicating a recurring trend throughout the sequence. Overall, the data reflects a gradual escalation in the diversity of crime types as time advances." }, { "dim_process": 20, "seq_idx": 319, "seq_len": 62, "time_since_start": [ 0.0, 0.19523148148148148, 0.6286805555555556, 1.3805555555555555, 1.8166666666666667, 2.199212962962963, 2.2, 4.797175925925926, 7.241666666666666, 7.6, 8.148634259259259, 8.214236111111111, 8.609722222222222, 8.714282407407408, 9.001388888888888, 9.008333333333333, 9.095833333333333, 9.220833333333333, 9.247222222222222, 9.290972222222223, 9.617986111111112, 9.813888888888888, 10.107175925925926, 10.2625, 10.706944444444444, 10.7625, 11.908310185185185, 12.01636574074074, 12.691319444444444, 12.97337962962963, 12.9875, 13.131944444444445, 13.202083333333333, 13.334722222222222, 14.018055555555556, 14.542685185185185, 14.888194444444444, 15.470833333333333, 15.797222222222222, 16.204166666666666, 16.570833333333333, 16.582592592592594, 17.0125, 17.043055555555554, 17.593055555555555, 17.69071759259259, 17.896296296296295, 17.981620370370372, 18.2875, 18.927777777777777, 19.74375, 20.925, 20.99652777777778, 21.372222222222224, 21.372222222222224, 21.697222222222223, 21.84236111111111, 21.84451388888889, 22.11078703703704, 22.59236111111111, 23.54574074074074, 23.601041666666667 ], "time_since_last_event": [ 0.0, 0.19523148148148148, 0.43344907407407407, 0.751875, 0.4361111111111111, 0.3825462962962963, 0.000787037037037037, 2.5971759259259257, 2.444490740740741, 0.35833333333333334, 0.5486342592592592, 0.06560185185185186, 0.3954861111111111, 0.10456018518518519, 0.2871064814814815, 0.006944444444444444, 0.0875, 0.125, 0.02638888888888889, 0.04375, 0.3270138888888889, 0.1959027777777778, 0.293287037037037, 0.1553240740740741, 0.4444444444444444, 0.05555555555555555, 1.1458101851851852, 0.10805555555555556, 0.6749537037037037, 0.28206018518518516, 0.01412037037037037, 0.14444444444444443, 0.07013888888888889, 0.1326388888888889, 0.6833333333333333, 0.5246296296296297, 0.34550925925925924, 0.5826388888888889, 0.3263888888888889, 0.40694444444444444, 0.36666666666666664, 0.01175925925925926, 0.4299074074074074, 0.030555555555555555, 0.55, 0.09766203703703703, 0.2055787037037037, 0.08532407407407408, 0.3058796296296296, 0.6402777777777777, 0.8159722222222222, 1.18125, 0.07152777777777777, 0.37569444444444444, 0.0, 0.325, 0.1451388888888889, 0.0021527777777777778, 0.2662731481481482, 0.4815740740740741, 0.9533796296296296, 0.05530092592592593 ], "type_event": [ 7, 0, 7, 7, 0, 7, 0, 8, 4, 6, 7, 7, 0, 7, 17, 4, 0, 9, 4, 14, 7, 4, 7, 9, 17, 9, 7, 9, 7, 9, 9, 7, 3, 4, 10, 6, 7, 3, 6, 7, 9, 9, 4, 0, 6, 0, 7, 9, 0, 4, 4, 10, 6, 7, 14, 7, 6, 4, 9, 6, 1, 4 ], "type_text": [ "Battery", "Theft", "Battery", "Battery", "Theft", "Battery", "Theft", "Other Offense", "Motor Vehicle Theft", "Criminal Damage", "Battery", "Battery", "Theft", "Battery", "Stalking", "Motor Vehicle Theft", "Theft", "Assault", "Motor Vehicle Theft", "Criminal Sexual Assault", "Battery", "Motor Vehicle Theft", "Battery", "Assault", "Stalking", "Assault", "Battery", "Assault", "Battery", "Assault", "Assault", "Battery", "Deceptive Practice", "Motor Vehicle Theft", "Burglary", "Criminal Damage", "Battery", "Deceptive Practice", "Criminal Damage", "Battery", "Assault", "Assault", "Motor Vehicle Theft", "Theft", "Criminal Damage", "Theft", "Battery", "Assault", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Burglary", "Criminal Damage", "Battery", "Criminal Sexual Assault", "Battery", "Criminal Damage", "Motor Vehicle Theft", "Assault", "Criminal Damage", "Weapons Violation", "Motor Vehicle Theft" ], "description": "The sequence of crime incidents shows a notable clustering of battery and theft offenses occurring in the early months, with battery incidents being particularly frequent. As the timeline progresses, there is a shift towards a higher occurrence of motor vehicle thefts and assaults, especially in the later months. Criminal damage and other offenses also emerge as significant crime types, particularly in the middle to later stages of the timeline. Overall, the data reflects a trend of increasing variety in crime types as time advances, with certain types like battery and theft being more prevalent earlier on." }, { "dim_process": 20, "seq_idx": 320, "seq_len": 61, "time_since_start": [ 0.0, 0.20780092592592592, 1.0, 1.0428472222222223, 1.9409722222222223, 2.609027777777778, 2.7961805555555554, 3.1104166666666666, 5.407916666666667, 5.695138888888889, 5.873935185185185, 5.956018518518518, 6.925694444444445, 7.570138888888889, 7.759027777777778, 8.092361111111112, 8.099305555555556, 8.26736111111111, 8.459027777777777, 8.485416666666667, 9.003472222222221, 9.014467592592593, 9.16875, 9.210069444444445, 9.263194444444444, 9.342361111111112, 9.476666666666667, 9.834722222222222, 10.529861111111112, 12.402777777777779, 13.042361111111111, 13.14238425925926, 13.25162037037037, 13.557291666666666, 13.588194444444444, 13.908518518518518, 14.153472222222222, 14.869791666666666, 15.452083333333333, 15.529861111111112, 15.635416666666666, 16.062453703703703, 16.063194444444445, 17.29201388888889, 18.121180555555554, 20.098819444444445, 20.225, 20.455208333333335, 20.475694444444443, 20.64236111111111, 21.09236111111111, 21.926319444444445, 21.954166666666666, 21.987037037037037, 22.132337962962964, 22.254166666666666, 22.632291666666667, 22.994328703703705, 23.159027777777776, 23.29861111111111, 23.500625 ], "time_since_last_event": [ 0.0, 0.20780092592592592, 0.7921990740740741, 0.042847222222222224, 0.898125, 0.6680555555555555, 0.18715277777777778, 0.3142361111111111, 2.2975, 0.2872222222222222, 0.1787962962962963, 0.08208333333333333, 0.9696759259259259, 0.6444444444444445, 0.18888888888888888, 0.3333333333333333, 0.006944444444444444, 0.16805555555555557, 0.19166666666666668, 0.02638888888888889, 0.5180555555555556, 0.01099537037037037, 0.1542824074074074, 0.04131944444444444, 0.053125, 0.07916666666666666, 0.13430555555555557, 0.35805555555555557, 0.6951388888888889, 1.8729166666666666, 0.6395833333333333, 0.10002314814814815, 0.10923611111111112, 0.3056712962962963, 0.03090277777777778, 0.3203240740740741, 0.2449537037037037, 0.7163194444444444, 0.5822916666666667, 0.07777777777777778, 0.10555555555555556, 0.42703703703703705, 0.0007407407407407407, 1.2288194444444445, 0.8291666666666667, 1.977638888888889, 0.12618055555555555, 0.23020833333333332, 0.02048611111111111, 0.16666666666666666, 0.45, 0.8339583333333334, 0.02784722222222222, 0.03287037037037037, 0.14530092592592592, 0.1218287037037037, 0.378125, 0.36203703703703705, 0.16469907407407408, 0.13958333333333334, 0.20201388888888888 ], "type_event": [ 7, 9, 7, 0, 7, 0, 7, 7, 8, 0, 8, 7, 8, 0, 7, 2, 0, 11, 0, 0, 7, 7, 7, 7, 0, 7, 7, 9, 3, 7, 7, 7, 0, 8, 0, 5, 6, 7, 7, 0, 7, 7, 7, 7, 7, 3, 9, 7, 14, 0, 6, 9, 11, 7, 7, 7, 7, 7, 7, 7, 7 ], "type_text": [ "Battery", "Assault", "Battery", "Theft", "Battery", "Theft", "Battery", "Battery", "Other Offense", "Theft", "Other Offense", "Battery", "Other Offense", "Theft", "Battery", "Sex Offense", "Theft", "Robbery", "Theft", "Theft", "Battery", "Battery", "Battery", "Battery", "Theft", "Battery", "Battery", "Assault", "Deceptive Practice", "Battery", "Battery", "Battery", "Theft", "Other Offense", "Theft", "Criminal Trespass", "Criminal Damage", "Battery", "Battery", "Theft", "Battery", "Battery", "Battery", "Battery", "Battery", "Deceptive Practice", "Assault", "Battery", "Criminal Sexual Assault", "Theft", "Criminal Damage", "Assault", "Robbery", "Battery", "Battery", "Battery", "Battery", "Battery", "Battery", "Battery", "Battery" ], "description": "The sequence of crime incidents shows a notable clustering of battery offenses, which occur frequently throughout the timeline, particularly in the earlier months and again towards the end. Theft incidents appear intermittently, with a slight increase in frequency after the first few months. Assaults and other offenses are also present but occur less frequently compared to battery and theft. The data suggests that as time progresses, there is a consistent presence of battery incidents, while theft and other crime types appear more sporadically." }, { "dim_process": 20, "seq_idx": 321, "seq_len": 33, "time_since_start": [ 0.0, 0.16666666666666666, 1.0659722222222223, 6.363518518518519, 6.986111111111111, 7.180555555555555, 8.296527777777778, 8.463888888888889, 8.464583333333334, 8.662037037037036, 11.866435185185185, 12.16388888888889, 13.768055555555556, 13.797222222222222, 14.03888888888889, 14.380555555555556, 14.386782407407408, 14.400347222222223, 14.419444444444444, 14.858842592592593, 15.809189814814815, 15.985, 16.271527777777777, 16.384351851851854, 16.540277777777778, 16.752777777777776, 16.789212962962964, 17.82777777777778, 19.788888888888888, 20.23402777777778, 21.389583333333334, 22.23472222222222, 22.68347222222222 ], "time_since_last_event": [ 0.0, 0.16666666666666666, 0.8993055555555556, 5.2975462962962965, 0.6225925925925926, 0.19444444444444445, 1.1159722222222221, 0.1673611111111111, 0.0006944444444444445, 0.19745370370370371, 3.2043981481481483, 0.2974537037037037, 1.6041666666666667, 0.029166666666666667, 0.24166666666666667, 0.3416666666666667, 0.0062268518518518515, 0.013564814814814814, 0.019097222222222224, 0.43939814814814815, 0.9503472222222222, 0.17581018518518518, 0.28652777777777777, 0.11282407407407408, 0.1559259259259259, 0.2125, 0.03643518518518519, 1.0385648148148148, 1.961111111111111, 0.44513888888888886, 1.1555555555555554, 0.8451388888888889, 0.44875 ], "type_event": [ 7, 4, 3, 6, 4, 4, 0, 0, 4, 4, 7, 0, 8, 6, 7, 0, 0, 7, 8, 0, 8, 8, 8, 6, 4, 0, 7, 0, 10, 11, 0, 0, 7 ], "type_text": [ "Battery", "Motor Vehicle Theft", "Deceptive Practice", "Criminal Damage", "Motor Vehicle Theft", "Motor Vehicle Theft", "Theft", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Battery", "Theft", "Other Offense", "Criminal Damage", "Battery", "Theft", "Theft", "Battery", "Other Offense", "Theft", "Other Offense", "Other Offense", "Other Offense", "Criminal Damage", "Motor Vehicle Theft", "Theft", "Battery", "Theft", "Burglary", "Robbery", "Theft", "Theft", "Battery" ], "description": "The sequence of crime incidents begins with battery and motor vehicle theft occurring within the first few months. As time progresses, there is a notable increase in the variety of crime types, including deceptive practices and theft, which cluster around the 8 to 16-month mark. Battery incidents appear intermittently throughout the timeline, while motor vehicle thefts are more frequent in the earlier months and again around the 16-month mark. Towards the end of the sequence, thefts and other offenses dominate, with a few instances of burglary and robbery appearing later in the timeline." }, { "dim_process": 20, "seq_idx": 322, "seq_len": 35, "time_since_start": [ 0.0, 2.658912037037037, 3.0174305555555554, 3.1684027777777777, 3.6038194444444445, 4.0211805555555555, 4.16412037037037, 4.165625, 4.524097222222222, 5.075347222222222, 7.089004629629629, 8.42951388888889, 8.804282407407408, 9.339236111111111, 10.15261574074074, 10.530208333333333, 10.807361111111112, 11.603472222222223, 11.858680555555555, 13.266319444444445, 13.354513888888889, 13.94298611111111, 14.473958333333334, 14.735648148148147, 15.209189814814815, 15.359189814814815, 15.771180555555556, 16.144560185185185, 16.41053240740741, 17.58310185185185, 18.21298611111111, 18.335763888888888, 18.832337962962963, 21.160046296296297, 21.250300925925927 ], "time_since_last_event": [ 0.0, 2.658912037037037, 0.3585185185185185, 0.15097222222222223, 0.4354166666666667, 0.4173611111111111, 0.14293981481481483, 0.0015046296296296296, 0.35847222222222225, 0.55125, 2.0136574074074076, 1.3405092592592593, 0.3747685185185185, 0.5349537037037037, 0.8133796296296296, 0.3775925925925926, 0.2771527777777778, 0.7961111111111111, 0.2552083333333333, 1.4076388888888889, 0.08819444444444445, 0.5884722222222222, 0.5309722222222222, 0.2616898148148148, 0.4735416666666667, 0.15, 0.41199074074074077, 0.3733796296296296, 0.2659722222222222, 1.1725694444444446, 0.6298842592592593, 0.12277777777777778, 0.49657407407407406, 2.3277083333333333, 0.09025462962962963 ], "type_event": [ 9, 7, 7, 6, 4, 8, 9, 7, 0, 8, 9, 11, 10, 4, 7, 4, 4, 4, 8, 0, 0, 10, 0, 16, 7, 0, 4, 9, 7, 6, 6, 9, 11, 6, 0 ], "type_text": [ "Assault", "Battery", "Battery", "Criminal Damage", "Motor Vehicle Theft", "Other Offense", "Assault", "Battery", "Theft", "Other Offense", "Assault", "Robbery", "Burglary", "Motor Vehicle Theft", "Battery", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Other Offense", "Theft", "Theft", "Burglary", "Theft", "Narcotics", "Battery", "Theft", "Motor Vehicle Theft", "Assault", "Battery", "Criminal Damage", "Criminal Damage", "Assault", "Robbery", "Criminal Damage", "Theft" ], "description": "The sequence of crime incidents shows a variety of crime types occurring over time, with notable clustering of certain events. Assaults and batteries appear relatively early in the timeline, while motor vehicle thefts and thefts become more prevalent in the later months. Criminal damage incidents also cluster towards the end of the sequence, alongside a mix of other offenses. Overall, there is a trend of increasing complexity in the types of crimes reported as time progresses, with a shift towards more theft-related incidents in the latter part of the timeline." }, { "dim_process": 20, "seq_idx": 323, "seq_len": 52, "time_since_start": [ 0.0, 0.3366898148148148, 0.35682870370370373, 0.5777777777777777, 0.893287037037037, 1.201712962962963, 1.3025462962962964, 2.196064814814815, 2.5019675925925924, 3.0149305555555554, 3.147824074074074, 3.805787037037037, 4.4155092592592595, 4.730787037037037, 4.847453703703704, 4.972685185185185, 5.040578703703703, 5.139814814814815, 5.222453703703704, 6.134305555555556, 6.4668981481481485, 6.507083333333333, 6.634027777777778, 7.160648148148148, 8.240509259259259, 8.28113425925926, 8.369722222222222, 8.812037037037037, 8.812731481481482, 9.850925925925926, 10.729259259259258, 11.298842592592592, 11.630787037037036, 12.666666666666666, 12.965717592592593, 13.27349537037037, 13.475231481481481, 13.972939814814815, 14.833842592592593, 15.807106481481481, 16.22800925925926, 16.239791666666665, 17.07662037037037, 19.56388888888889, 20.16412037037037, 20.51212962962963, 21.336828703703702, 22.21203703703704, 23.17662037037037, 23.17939814814815, 23.27800925925926, 23.410717592592594 ], "time_since_last_event": [ 0.0, 0.3366898148148148, 0.02013888888888889, 0.22094907407407408, 0.31550925925925927, 0.30842592592592594, 0.10083333333333333, 0.8935185185185185, 0.3059027777777778, 0.512962962962963, 0.13289351851851852, 0.657962962962963, 0.6097222222222223, 0.31527777777777777, 0.11666666666666667, 0.12523148148148147, 0.06789351851851852, 0.09923611111111111, 0.08263888888888889, 0.9118518518518518, 0.3325925925925926, 0.040185185185185185, 0.12694444444444444, 0.5266203703703703, 1.0798611111111112, 0.040625, 0.08858796296296297, 0.4423148148148148, 0.0006944444444444445, 1.0381944444444444, 0.8783333333333333, 0.5695833333333333, 0.33194444444444443, 1.0358796296296295, 0.2990509259259259, 0.30777777777777776, 0.20173611111111112, 0.4977083333333333, 0.8609027777777778, 0.9732638888888889, 0.4209027777777778, 0.011782407407407408, 0.8368287037037037, 2.4872685185185186, 0.6002314814814815, 0.34800925925925924, 0.8246990740740741, 0.8752083333333334, 0.9645833333333333, 0.002777777777777778, 0.09861111111111111, 0.13270833333333334 ], "type_event": [ 4, 9, 0, 7, 0, 8, 9, 8, 7, 1, 1, 4, 9, 4, 10, 9, 7, 7, 10, 9, 0, 6, 0, 0, 0, 7, 11, 8, 8, 10, 7, 8, 9, 11, 8, 0, 9, 9, 15, 7, 4, 11, 7, 9, 8, 1, 7, 9, 6, 7, 3, 13 ], "type_text": [ "Motor Vehicle Theft", "Assault", "Theft", "Battery", "Theft", "Other Offense", "Assault", "Other Offense", "Battery", "Weapons Violation", "Weapons Violation", "Motor Vehicle Theft", "Assault", "Motor Vehicle Theft", "Burglary", "Assault", "Battery", "Battery", "Burglary", "Assault", "Theft", "Criminal Damage", "Theft", "Theft", "Theft", "Battery", "Robbery", "Other Offense", "Other Offense", "Burglary", "Battery", "Other Offense", "Assault", "Robbery", "Other Offense", "Theft", "Assault", "Assault", "Interference With Public Officer", "Battery", "Motor Vehicle Theft", "Robbery", "Battery", "Assault", "Other Offense", "Weapons Violation", "Battery", "Assault", "Criminal Damage", "Battery", "Deceptive Practice", "Offense Involving Children" ], "description": "The sequence of crime incidents shows a diverse range of offenses occurring over time, with certain types clustering in specific periods. Initially, there is a mix of motor vehicle theft, assault, and theft, with assaults occurring relatively early in the timeline. As time progresses, incidents of battery and other offenses increase, particularly around the middle of the sequence. Towards the latter part, there is a notable rise in robbery and various other offenses, including weapons violations and criminal damage, indicating a shift in the types of incidents reported. Overall, the data reflects a fluctuating pattern with periods of increased activity in specific crime categories." }, { "dim_process": 20, "seq_idx": 324, "seq_len": 101, "time_since_start": [ 0.0, 0.205625, 0.8298611111111112, 2.1457175925925926, 2.345833333333333, 3.2769444444444447, 3.745138888888889, 3.832314814814815, 4.331018518518518, 5.236111111111111, 5.870092592592592, 5.894328703703704, 6.301967592592592, 6.338541666666667, 6.558842592592592, 6.766481481481481, 6.771412037037037, 6.959027777777778, 7.20625, 7.232013888888889, 7.4684027777777775, 7.536851851851852, 7.763888888888889, 7.801157407407407, 8.738194444444444, 9.143888888888888, 9.377893518518519, 9.404745370370371, 9.40611111111111, 9.550555555555556, 9.596875, 9.66423611111111, 9.927314814814816, 10.250231481481482, 10.430949074074075, 10.710416666666667, 10.710416666666667, 11.935416666666667, 12.467824074074073, 12.575694444444444, 12.599583333333333, 12.728148148148149, 12.903472222222222, 12.912175925925926, 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0.01601851851851852, 0.45523148148148146, 0.11493055555555555, 0.19300925925925927, 0.11810185185185185, 0.1380787037037037 ], "type_event": [ 3, 0, 7, 9, 2, 9, 0, 3, 7, 7, 7, 9, 18, 7, 6, 0, 9, 10, 7, 7, 9, 5, 6, 4, 16, 0, 6, 7, 8, 7, 0, 9, 0, 6, 0, 14, 3, 0, 9, 10, 5, 0, 9, 1, 7, 8, 0, 11, 7, 0, 11, 9, 7, 9, 6, 3, 0, 9, 9, 0, 9, 9, 6, 7, 0, 7, 0, 7, 9, 11, 0, 0, 0, 7, 7, 6, 0, 0, 11, 0, 0, 0, 0, 0, 0, 0, 0, 6, 7, 0, 0, 0, 0, 0, 0, 0, 9, 0, 9, 0, 7 ], "type_text": [ "Deceptive Practice", "Theft", "Battery", "Assault", "Sex Offense", "Assault", "Theft", "Deceptive Practice", "Battery", "Battery", "Battery", "Assault", "Public Peace Violation", "Battery", "Criminal Damage", "Theft", "Assault", "Burglary", "Battery", "Battery", "Assault", "Criminal Trespass", "Criminal Damage", "Motor Vehicle Theft", "Narcotics", "Theft", "Criminal Damage", "Battery", "Other Offense", "Battery", "Theft", "Assault", "Theft", "Criminal Damage", "Theft", "Criminal Sexual Assault", "Deceptive Practice", "Theft", "Assault", "Burglary", "Criminal Trespass", "Theft", "Assault", "Weapons Violation", "Battery", "Other Offense", "Theft", "Robbery", "Battery", "Theft", "Robbery", "Assault", "Battery", "Assault", "Criminal Damage", "Deceptive Practice", "Theft", "Assault", "Assault", "Theft", "Assault", "Assault", "Criminal Damage", "Battery", "Theft", "Battery", "Theft", "Battery", "Assault", "Robbery", "Theft", "Theft", "Theft", "Battery", "Battery", "Criminal Damage", "Theft", "Theft", "Robbery", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Criminal Damage", "Battery", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Assault", "Theft", "Assault", "Theft", "Battery" ], "description": "The sequence of crime incidents shows a gradual increase in the frequency and variety of offenses over time. Initially, there is a mix of different crime types, including Deceptive Practices and Theft, but as time progresses, there is a noticeable clustering of Battery and Assault incidents around the mid to later months. The latter part of the sequence is characterized by a high concentration of Theft incidents, which peak towards the end, alongside a consistent presence of Battery and Assault offenses. Overall, the data indicates that Theft becomes increasingly prevalent as the timeline advances, while violent crimes like Assault and Battery also appear frequently throughout the sequence." }, { "dim_process": 20, "seq_idx": 325, "seq_len": 32, "time_since_start": [ 0.0, 0.004166666666666667, 1.703425925925926, 3.408796296296296, 3.764675925925926, 3.765277777777778, 4.378472222222222, 4.387523148148148, 4.468055555555556, 4.926388888888889, 5.0569444444444445, 5.36875, 5.903125, 7.175694444444445, 8.14761574074074, 9.938194444444445, 10.533333333333333, 11.2375, 11.931944444444444, 12.006018518518518, 13.446550925925926, 13.506944444444445, 13.50763888888889, 16.404166666666665, 17.345462962962962, 17.970833333333335, 18.468055555555555, 18.71851851851852, 19.66875, 21.354166666666668, 22.367638888888887, 22.525625 ], "time_since_last_event": [ 0.0, 0.004166666666666667, 1.6992592592592592, 1.7053703703703704, 0.35587962962962966, 0.0006018518518518519, 0.6131944444444445, 0.009050925925925926, 0.08053240740740741, 0.4583333333333333, 0.13055555555555556, 0.31180555555555556, 0.534375, 1.2725694444444444, 0.9719212962962963, 1.7905787037037038, 0.5951388888888889, 0.7041666666666667, 0.6944444444444444, 0.07407407407407407, 1.4405324074074075, 0.06039351851851852, 0.0006944444444444445, 2.8965277777777776, 0.9412962962962963, 0.6253703703703704, 0.49722222222222223, 0.25046296296296294, 0.9502314814814815, 1.6854166666666666, 1.0134722222222223, 0.1579861111111111 ], "type_event": [ 3, 3, 6, 4, 0, 9, 10, 4, 0, 6, 4, 9, 6, 4, 9, 3, 0, 3, 0, 0, 3, 3, 3, 3, 0, 3, 7, 7, 4, 0, 3, 6 ], "type_text": [ "Deceptive Practice", "Deceptive Practice", "Criminal Damage", "Motor Vehicle Theft", "Theft", "Assault", "Burglary", "Motor Vehicle Theft", "Theft", "Criminal Damage", "Motor Vehicle Theft", "Assault", "Criminal Damage", "Motor Vehicle Theft", "Assault", "Deceptive Practice", "Theft", "Deceptive Practice", "Theft", "Theft", "Deceptive Practice", "Deceptive Practice", "Deceptive Practice", "Deceptive Practice", "Theft", "Deceptive Practice", "Battery", "Battery", "Motor Vehicle Theft", "Theft", "Deceptive Practice", "Criminal Damage" ], "description": "The sequence of crime incidents shows a variety of crime types occurring over time, with a notable clustering of events within certain periods. Initially, incidents of Deceptive Practice dominate, occurring frequently in the early months. As time progresses, there is a shift towards a mix of Motor Vehicle Theft, Assault, and Theft, particularly between the third and fifth months. Later in the timeline, Deceptive Practice resurfaces alongside a consistent presence of Theft and Criminal Damage, indicating a cyclical pattern of certain crime types. Overall, the sequence reveals a progression from early Deceptive Practices to a broader range of crimes, with specific types re-emerging at various intervals." }, { "dim_process": 20, "seq_idx": 326, "seq_len": 57, "time_since_start": [ 0.0, 0.3763888888888889, 0.533449074074074, 0.5395833333333333, 1.1020833333333333, 1.2513888888888889, 1.3875, 1.8090277777777777, 1.9354166666666666, 2.670138888888889, 4.968055555555556, 5.506944444444445, 5.808333333333334, 6.3024305555555555, 6.5875, 6.706597222222222, 6.7125, 6.972222222222222, 7.263587962962963, 7.488194444444445, 7.819699074074074, 8.266666666666667, 8.352777777777778, 8.53337962962963, 8.829398148148147, 9.116574074074075, 9.153009259259258, 9.375, 9.650694444444444, 9.816782407407407, 9.990810185185186, 9.991666666666667, 10.811111111111112, 11.222777777777777, 11.723842592592593, 11.982986111111112, 12.624305555555555, 14.323703703703703, 14.9, 16.04722222222222, 16.114583333333332, 17.042962962962964, 19.209027777777777, 19.435300925925926, 19.549467592592592, 19.561851851851852, 19.634722222222223, 19.675231481481482, 19.94351851851852, 21.735416666666666, 21.823726851851852, 21.95423611111111, 21.95486111111111, 22.104074074074074, 22.104166666666668, 22.39224537037037, 23.28002314814815 ], "time_since_last_event": [ 0.0, 0.3763888888888889, 0.1570601851851852, 0.0061342592592592594, 0.5625, 0.14930555555555555, 0.1361111111111111, 0.4215277777777778, 0.12638888888888888, 0.7347222222222223, 2.2979166666666666, 0.5388888888888889, 0.3013888888888889, 0.49409722222222224, 0.28506944444444443, 0.11909722222222222, 0.005902777777777778, 0.25972222222222224, 0.29136574074074073, 0.2246064814814815, 0.3315046296296296, 0.4469675925925926, 0.08611111111111111, 0.18060185185185185, 0.2960185185185185, 0.28717592592592595, 0.03643518518518519, 0.22199074074074074, 0.27569444444444446, 0.16608796296296297, 0.17402777777777778, 0.0008564814814814815, 0.8194444444444444, 0.4116666666666667, 0.5010648148148148, 0.2591435185185185, 0.6413194444444444, 1.6993981481481482, 0.5762962962962963, 1.1472222222222221, 0.06736111111111111, 0.9283796296296296, 2.1660648148148147, 0.22627314814814814, 0.11416666666666667, 0.01238425925925926, 0.07287037037037038, 0.04050925925925926, 0.26828703703703705, 1.7918981481481482, 0.08831018518518519, 0.13050925925925927, 0.000625, 0.14921296296296296, 9.259259259259259e-05, 0.2880787037037037, 0.8877777777777778 ], "type_event": [ 3, 7, 9, 6, 0, 6, 7, 9, 3, 9, 9, 5, 7, 7, 4, 11, 9, 4, 6, 4, 10, 7, 7, 1, 9, 7, 1, 9, 14, 8, 4, 14, 0, 1, 0, 9, 7, 7, 7, 3, 0, 1, 11, 7, 11, 9, 8, 1, 11, 0, 7, 6, 9, 13, 7, 7, 7 ], "type_text": [ "Deceptive Practice", "Battery", "Assault", "Criminal Damage", "Theft", "Criminal Damage", "Battery", "Assault", "Deceptive Practice", "Assault", "Assault", "Criminal Trespass", "Battery", "Battery", "Motor Vehicle Theft", "Robbery", "Assault", "Motor Vehicle Theft", "Criminal Damage", "Motor Vehicle Theft", "Burglary", "Battery", "Battery", "Weapons Violation", "Assault", "Battery", "Weapons Violation", "Assault", "Criminal Sexual Assault", "Other Offense", "Motor Vehicle Theft", "Criminal Sexual Assault", "Theft", "Weapons Violation", "Theft", "Assault", "Battery", "Battery", "Battery", "Deceptive Practice", "Theft", "Weapons Violation", "Robbery", "Battery", "Robbery", "Assault", "Other Offense", "Weapons Violation", "Robbery", "Theft", "Battery", "Criminal Damage", "Assault", "Offense Involving Children", "Battery", "Battery", "Battery" ], "description": "The sequence of crime incidents in the block reveals a pattern where various types of offenses occur over time, with a notable clustering of certain crime types. Initially, deceptive practices and violent crimes such as battery and assault are reported within the first few months. As time progresses, there is an increase in theft and motor vehicle theft incidents, particularly around the six to ten-month mark. Towards the later months, there is a rise in weapons violations and robbery incidents, indicating a shift in the nature of crimes reported. Overall, violent crimes tend to appear earlier in the timeline, while property crimes and offenses involving weapons emerge more prominently in the later stages." }, { "dim_process": 20, "seq_idx": 327, "seq_len": 35, "time_since_start": [ 0.0, 0.24155092592592592, 2.0060185185185184, 2.1126157407407407, 3.301273148148148, 3.6085648148148146, 4.705486111111111, 5.00949074074074, 5.102708333333333, 5.204930555555555, 5.279629629629629, 7.435879629629629, 7.465046296296296, 8.16986111111111, 8.20150462962963, 8.36412037037037, 10.038657407407408, 11.73599537037037, 12.52662037037037, 12.895717592592593, 12.940740740740742, 13.31087962962963, 14.712777777777777, 14.827638888888888, 15.05949074074074, 16.74363425925926, 17.45787037037037, 17.477800925925926, 18.63449074074074, 18.843912037037036, 19.10597222222222, 19.878935185185185, 19.982152777777777, 22.070208333333333, 22.16435185185185 ], "time_since_last_event": [ 0.0, 0.24155092592592592, 1.7644675925925926, 0.10659722222222222, 1.1886574074074074, 0.3072916666666667, 1.0969212962962962, 0.30400462962962965, 0.09321759259259259, 0.10222222222222223, 0.07469907407407407, 2.15625, 0.029166666666666667, 0.7048148148148148, 0.031643518518518515, 0.16261574074074073, 1.674537037037037, 1.697337962962963, 0.790625, 0.36909722222222224, 0.045023148148148145, 0.3701388888888889, 1.401898148148148, 0.11486111111111111, 0.23185185185185186, 1.6841435185185185, 0.7142361111111111, 0.019930555555555556, 1.1566898148148148, 0.2094212962962963, 0.2620601851851852, 0.772962962962963, 0.1032175925925926, 2.0880555555555556, 0.09414351851851852 ], "type_event": [ 0, 7, 14, 16, 1, 11, 1, 1, 0, 16, 10, 9, 0, 7, 9, 6, 10, 7, 9, 9, 7, 10, 0, 1, 0, 1, 7, 9, 7, 1, 1, 10, 6, 7, 10 ], "type_text": [ "Theft", "Battery", "Criminal Sexual Assault", "Narcotics", "Weapons Violation", "Robbery", "Weapons Violation", "Weapons Violation", "Theft", "Narcotics", "Burglary", "Assault", "Theft", "Battery", "Assault", "Criminal Damage", "Burglary", "Battery", "Assault", "Assault", "Battery", "Burglary", "Theft", "Weapons Violation", "Theft", "Weapons Violation", "Battery", "Assault", "Battery", "Weapons Violation", "Weapons Violation", "Burglary", "Criminal Damage", "Battery", "Burglary" ], "description": "The sequence of crime incidents shows a variety of crime types occurring over time, with notable clustering of certain events. Initially, theft and battery incidents are reported, followed by a rise in more serious offenses like criminal sexual assault and narcotics. As time progresses, weapons violations and assaults appear more frequently, particularly around the mid to late points in the timeline. Burglary incidents also emerge later in the sequence, with several occurrences noted towards the end. Overall, there is a trend of increasing complexity and variety in crime types as the timeline advances." }, { "dim_process": 20, "seq_idx": 328, "seq_len": 45, "time_since_start": [ 0.0, 0.24421296296296297, 0.4773148148148148, 1.7975462962962963, 1.8145833333333334, 5.011111111111111, 5.158333333333333, 6.42962962962963, 7.536851851851852, 7.655555555555556, 8.644791666666666, 9.647222222222222, 10.6, 10.961342592592592, 11.0125, 11.328310185185185, 11.540277777777778, 12.176458333333333, 12.974166666666667, 13.588888888888889, 13.645833333333334, 14.370416666666667, 14.591666666666667, 14.680185185185184, 14.745138888888889, 15.183541666666667, 15.255555555555556, 15.53888888888889, 15.602777777777778, 16.050694444444446, 16.05650462962963, 16.301689814814814, 16.620833333333334, 17.46388888888889, 17.654166666666665, 18.809143518518518, 19.64814814814815, 20.023611111111112, 21.84837962962963, 23.272962962962964, 23.550949074074072, 23.58125, 23.583333333333332, 23.583796296296295, 23.605555555555554 ], "time_since_last_event": [ 0.0, 0.24421296296296297, 0.23310185185185187, 1.3202314814814815, 0.017037037037037038, 3.196527777777778, 0.14722222222222223, 1.2712962962962964, 1.1072222222222223, 0.1187037037037037, 0.9892361111111111, 1.0024305555555555, 0.9527777777777777, 0.3613425925925926, 0.05115740740740741, 0.31581018518518517, 0.2119675925925926, 0.6361805555555555, 0.7977083333333334, 0.6147222222222222, 0.05694444444444444, 0.7245833333333334, 0.22125, 0.08851851851851852, 0.06495370370370371, 0.43840277777777775, 0.07201388888888889, 0.2833333333333333, 0.06388888888888888, 0.4479166666666667, 0.005810185185185186, 0.24518518518518517, 0.3191435185185185, 0.8430555555555556, 0.19027777777777777, 1.154976851851852, 0.8390046296296296, 0.37546296296296294, 1.8247685185185185, 1.4245833333333333, 0.2779861111111111, 0.030300925925925926, 0.0020833333333333333, 0.000462962962962963, 0.02175925925925926 ], "type_event": [ 0, 9, 10, 6, 0, 4, 6, 11, 6, 0, 8, 6, 8, 4, 6, 1, 7, 8, 16, 13, 8, 7, 4, 8, 11, 11, 0, 0, 6, 4, 0, 0, 4, 5, 0, 0, 1, 7, 11, 0, 16, 7, 7, 7, 6 ], "type_text": [ "Theft", "Assault", "Burglary", "Criminal Damage", "Theft", "Motor Vehicle Theft", "Criminal Damage", "Robbery", "Criminal Damage", "Theft", "Other Offense", "Criminal Damage", "Other Offense", "Motor Vehicle Theft", "Criminal Damage", "Weapons Violation", "Battery", "Other Offense", "Narcotics", "Offense Involving Children", "Other Offense", "Battery", "Motor Vehicle Theft", "Other Offense", "Robbery", "Robbery", "Theft", "Theft", "Criminal Damage", "Motor Vehicle Theft", "Theft", "Theft", "Motor Vehicle Theft", "Criminal Trespass", "Theft", "Theft", "Weapons Violation", "Battery", "Robbery", "Theft", "Narcotics", "Battery", "Battery", "Battery", "Criminal Damage" ], "description": "The sequence of crime incidents begins with theft and assault occurring within the first month, followed by a burglary shortly after. A notable cluster of criminal damage incidents appears between months 1.8 and 11, interspersed with various other offenses. Motor vehicle thefts emerge later in the timeline, particularly from the 5th month onward, while robbery incidents increase in frequency from the 14th month. Towards the end of the sequence, there is a resurgence of thefts and batteries, with multiple battery incidents reported in close succession. Overall, theft and criminal damage are the most prevalent types of offenses, with certain crime types appearing in concentrated periods." }, { "dim_process": 20, "seq_idx": 329, "seq_len": 32, "time_since_start": [ 0.0, 0.3020833333333333, 1.3409722222222222, 3.31875, 4.0334259259259255, 4.5784722222222225, 7.545138888888889, 9.276689814814814, 9.648587962962964, 9.770601851851852, 10.442824074074075, 10.627777777777778, 11.127523148148148, 11.128425925925926, 13.313194444444445, 13.634953703703705, 13.738194444444444, 14.398148148148149, 15.176041666666666, 15.584027777777777, 16.695833333333333, 17.04361111111111, 17.65483796296296, 17.82337962962963, 18.216574074074074, 18.356620370370372, 19.33826388888889, 21.872685185185187, 22.047013888888888, 22.214583333333334, 22.25625, 23.229652777777776 ], "time_since_last_event": [ 0.0, 0.3020833333333333, 1.038888888888889, 1.9777777777777779, 0.7146759259259259, 0.5450462962962963, 2.966666666666667, 1.7315509259259259, 0.37189814814814814, 0.1220138888888889, 0.6722222222222223, 0.1849537037037037, 0.49974537037037037, 0.0009027777777777777, 2.1847685185185184, 0.32175925925925924, 0.10324074074074074, 0.6599537037037037, 0.7778935185185185, 0.4079861111111111, 1.1118055555555555, 0.3477777777777778, 0.6112268518518519, 0.16854166666666667, 0.39319444444444446, 0.1400462962962963, 0.9816435185185185, 2.5344212962962964, 0.1743287037037037, 0.16756944444444444, 0.041666666666666664, 0.9734027777777777 ], "type_event": [ 4, 8, 4, 6, 0, 4, 10, 7, 7, 3, 10, 0, 0, 8, 8, 0, 10, 4, 7, 9, 4, 0, 10, 11, 7, 10, 1, 4, 7, 10, 4, 9 ], "type_text": [ "Motor Vehicle Theft", "Other Offense", "Motor Vehicle Theft", "Criminal Damage", "Theft", "Motor Vehicle Theft", "Burglary", "Battery", "Battery", "Deceptive Practice", "Burglary", "Theft", "Theft", "Other Offense", "Other Offense", "Theft", "Burglary", "Motor Vehicle Theft", "Battery", "Assault", "Motor Vehicle Theft", "Theft", "Burglary", "Robbery", "Battery", "Burglary", "Weapons Violation", "Motor Vehicle Theft", "Battery", "Burglary", "Motor Vehicle Theft", "Assault" ], "description": "The sequence of crime incidents shows a pattern where Motor Vehicle Theft occurs frequently, particularly in the early and later months. Other Offenses and Theft incidents are also reported, with Theft clustering around the mid to late months. Burglary incidents appear consistently throughout the timeline, with notable clusters occurring in the later months. Battery incidents are reported intermittently, while Robbery and Weapons Violations are less frequent and appear towards the end of the sequence. Overall, there is a gradual increase in the variety of crime types as time progresses." }, { "dim_process": 20, "seq_idx": 330, "seq_len": 35, "time_since_start": [ 0.0, 0.2701388888888889, 0.6579398148148148, 0.6708333333333333, 0.772962962962963, 1.1743055555555555, 1.6994675925925926, 1.870462962962963, 2.140972222222222, 2.4590046296296295, 3.0770833333333334, 4.381018518518519, 5.812245370370371, 6.013194444444444, 6.538356481481482, 6.843055555555556, 8.180787037037037, 8.378541666666667, 10.192291666666666, 11.73263888888889, 11.936782407407408, 12.115185185185185, 15.604282407407407, 15.702777777777778, 15.750902777777778, 16.686828703703704, 17.604166666666668, 17.979375, 18.709722222222222, 18.906944444444445, 19.068935185185186, 21.20347222222222, 21.732291666666665, 21.974467592592593, 22.27638888888889 ], "time_since_last_event": [ 0.0, 0.2701388888888889, 0.3878009259259259, 0.012893518518518518, 0.10212962962962963, 0.4013425925925926, 0.525162037037037, 0.17099537037037038, 0.2705092592592593, 0.3180324074074074, 0.6180787037037037, 1.3039351851851853, 1.4312268518518518, 0.20094907407407409, 0.525162037037037, 0.3046990740740741, 1.3377314814814816, 0.19775462962962964, 1.81375, 1.5403472222222223, 0.20414351851851853, 0.17840277777777777, 3.489097222222222, 0.09849537037037037, 0.048125, 0.9359259259259259, 0.917337962962963, 0.3752083333333333, 0.7303472222222223, 0.19722222222222222, 0.16199074074074074, 2.134537037037037, 0.5288194444444444, 0.24217592592592593, 0.30192129629629627 ], "type_event": [ 7, 3, 8, 0, 1, 10, 9, 7, 4, 7, 7, 11, 7, 9, 0, 0, 8, 6, 7, 9, 1, 8, 8, 7, 7, 0, 7, 7, 0, 10, 9, 0, 8, 8, 6 ], "type_text": [ "Battery", "Deceptive Practice", "Other Offense", "Theft", "Weapons Violation", "Burglary", "Assault", "Battery", "Motor Vehicle Theft", "Battery", "Battery", "Robbery", "Battery", "Assault", "Theft", "Theft", "Other Offense", "Criminal Damage", "Battery", "Assault", "Weapons Violation", "Other Offense", "Other Offense", "Battery", "Battery", "Theft", "Battery", "Battery", "Theft", "Burglary", "Assault", "Theft", "Other Offense", "Other Offense", "Criminal Damage" ], "description": "The sequence of crime incidents shows a pattern where battery incidents occur frequently throughout the timeline, with multiple occurrences clustered in the early months and continuing at intervals. Other offenses and thefts also appear regularly, with theft incidents increasing in frequency as time progresses. Assaults and weapons violations are interspersed throughout the sequence, while burglary incidents are noted at both early and later stages. Overall, there is a noticeable clustering of certain crime types, particularly battery and theft, in the latter part of the timeline." }, { "dim_process": 20, "seq_idx": 331, "seq_len": 32, "time_since_start": [ 0.0, 1.0720370370370371, 1.9057870370370371, 2.0980324074074073, 5.703703703703703, 7.430787037037037, 7.601203703703704, 8.530486111111111, 8.707777777777778, 8.875810185185186, 10.53125, 11.239814814814816, 11.273032407407408, 11.502546296296297, 12.800694444444444, 13.262384259259258, 14.824884259259258, 14.912060185185185, 15.014467592592593, 15.244675925925925, 15.535347222222223, 15.57363425925926, 16.796481481481482, 17.211944444444445, 17.214583333333334, 18.631481481481483, 18.762546296296296, 20.007060185185185, 21.062893518518518, 21.17800925925926, 22.133564814814815, 22.195949074074075 ], "time_since_last_event": [ 0.0, 1.0720370370370371, 0.83375, 0.19224537037037037, 3.6056712962962965, 1.7270833333333333, 0.17041666666666666, 0.9292824074074074, 0.17729166666666665, 0.1680324074074074, 1.6554398148148148, 0.7085648148148148, 0.03321759259259259, 0.22951388888888888, 1.298148148148148, 0.4616898148148148, 1.5625, 0.08717592592592592, 0.1024074074074074, 0.23020833333333332, 0.2906712962962963, 0.038287037037037036, 1.2228472222222222, 0.415462962962963, 0.002638888888888889, 1.4168981481481482, 0.13106481481481483, 1.244513888888889, 1.0558333333333334, 0.11511574074074074, 0.9555555555555556, 0.06238425925925926 ], "type_event": [ 7, 16, 6, 8, 4, 6, 8, 0, 1, 16, 9, 9, 9, 6, 0, 5, 9, 3, 0, 0, 16, 7, 16, 1, 7, 6, 8, 1, 0, 0, 9, 0 ], "type_text": [ "Battery", "Narcotics", "Criminal Damage", "Other Offense", "Motor Vehicle Theft", "Criminal Damage", "Other Offense", "Theft", "Weapons Violation", "Narcotics", "Assault", "Assault", "Assault", "Criminal Damage", "Theft", "Criminal Trespass", "Assault", "Deceptive Practice", "Theft", "Theft", "Narcotics", "Battery", "Narcotics", "Weapons Violation", "Battery", "Criminal Damage", "Other Offense", "Weapons Violation", "Theft", "Theft", "Assault", "Theft" ], "description": "The sequence of crime incidents begins with a battery incident, followed by narcotics-related offenses and criminal damage occurring within the first two months. As time progresses, there is a noticeable increase in the variety of offenses, particularly around the 8 to 15-month mark, where theft and assault incidents become more frequent. Criminal damage and narcotics offenses appear to cluster toward the later months, while weapons violations are noted intermittently. Overall, the trend shows a gradual escalation in both the frequency and diversity of crime types over time, with certain offenses like theft and assault becoming more prominent in the latter stages of the sequence." }, { "dim_process": 20, "seq_idx": 332, "seq_len": 30, "time_since_start": [ 0.0, 0.4052777777777778, 1.6056712962962962, 3.61875, 3.99375, 4.194212962962963, 4.641990740740741, 6.253472222222222, 6.675694444444445, 7.029166666666667, 8.589351851851852, 9.377777777777778, 9.433333333333334, 12.800462962962962, 14.032638888888888, 14.296527777777778, 15.266967592592593, 15.407638888888888, 16.028472222222224, 16.467662037037037, 17.258240740740742, 18.34201388888889, 18.50347222222222, 20.39375, 20.91875, 22.198611111111113, 22.265046296296298, 22.790972222222223, 23.299652777777776, 24.2375 ], "time_since_last_event": [ 0.0, 0.4052777777777778, 1.2003935185185186, 2.013078703703704, 0.375, 0.20046296296296295, 0.4477777777777778, 1.6114814814814815, 0.4222222222222222, 0.35347222222222224, 1.5601851851851851, 0.788425925925926, 0.05555555555555555, 3.3671296296296296, 1.232175925925926, 0.2638888888888889, 0.9704398148148148, 0.1406712962962963, 0.6208333333333333, 0.43918981481481484, 0.7905787037037038, 1.083773148148148, 0.16145833333333334, 1.8902777777777777, 0.525, 1.2798611111111111, 0.06643518518518518, 0.5259259259259259, 0.5086805555555556, 0.9378472222222223 ], "type_event": [ 0, 7, 11, 6, 0, 10, 13, 6, 9, 6, 0, 9, 4, 18, 3, 6, 7, 9, 7, 7, 6, 1, 6, 9, 11, 4, 11, 7, 7, 5 ], "type_text": [ "Theft", "Battery", "Robbery", "Criminal Damage", "Theft", "Burglary", "Offense Involving Children", "Criminal Damage", "Assault", "Criminal Damage", "Theft", "Assault", "Motor Vehicle Theft", "Public Peace Violation", "Deceptive Practice", "Criminal Damage", "Battery", "Assault", "Battery", "Battery", "Criminal Damage", "Weapons Violation", "Criminal Damage", "Assault", "Robbery", "Motor Vehicle Theft", "Robbery", "Battery", "Battery", "Criminal Trespass" ], "description": "The sequence of crime incidents shows a variety of crime types occurring over time, with certain types clustering at specific intervals. Initial incidents include theft and battery, followed by a robbery after about a month and a half. Criminal damage appears multiple times, particularly between the 3rd and 18th months, indicating a trend of increasing incidents in that category. Assaults and batteries are also prevalent, with several occurrences noted in the later months, while motor vehicle thefts and robberies appear towards the end of the sequence. Overall, there is a mix of crime types throughout, with notable patterns of clustering for certain offenses over the observed period." }, { "dim_process": 20, "seq_idx": 333, "seq_len": 32, "time_since_start": [ 0.0, 3.453888888888889, 3.5166203703703705, 3.998171296296296, 4.886620370370371, 5.659074074074074, 5.791574074074074, 5.968009259259259, 6.613148148148148, 7.83537037037037, 8.410370370370371, 10.941620370370371, 11.682592592592593, 11.742546296296297, 11.759791666666667, 13.261759259259259, 13.34162037037037, 13.988842592592592, 15.11199074074074, 15.292546296296296, 15.97773148148148, 16.70828703703704, 16.754814814814814, 16.956087962962965, 16.965925925925927, 17.442314814814814, 18.49486111111111, 19.587222222222223, 20.468009259259258, 21.190231481481483, 21.971481481481483, 23.076342592592592 ], "time_since_last_event": [ 0.0, 3.453888888888889, 0.06273148148148149, 0.4815509259259259, 0.888449074074074, 0.7724537037037037, 0.1325, 0.1764351851851852, 0.6451388888888889, 1.2222222222222223, 0.575, 2.53125, 0.7409722222222223, 0.059953703703703703, 0.01724537037037037, 1.5019675925925926, 0.0798611111111111, 0.6472222222222223, 1.1231481481481482, 0.18055555555555555, 0.6851851851851852, 0.7305555555555555, 0.04652777777777778, 0.20127314814814815, 0.009837962962962963, 0.47638888888888886, 1.0525462962962964, 1.0923611111111111, 0.8807870370370371, 0.7222222222222222, 0.78125, 1.104861111111111 ], "type_event": [ 4, 7, 9, 6, 8, 9, 16, 10, 4, 9, 7, 11, 6, 6, 3, 0, 3, 3, 9, 11, 6, 9, 7, 8, 0, 0, 6, 7, 0, 8, 4, 4 ], "type_text": [ "Motor Vehicle Theft", "Battery", "Assault", "Criminal Damage", "Other Offense", "Assault", "Narcotics", "Burglary", "Motor Vehicle Theft", "Assault", "Battery", "Robbery", "Criminal Damage", "Criminal Damage", "Deceptive Practice", "Theft", "Deceptive Practice", "Deceptive Practice", "Assault", "Robbery", "Criminal Damage", "Assault", "Battery", "Other Offense", "Theft", "Theft", "Criminal Damage", "Battery", "Theft", "Other Offense", "Motor Vehicle Theft", "Motor Vehicle Theft" ], "description": "The sequence of crime incidents shows a variety of crime types occurring over time, with notable clustering of certain offenses. Initially, motor vehicle theft occurs, followed by battery and assault within the first few months. As time progresses, there is a noticeable increase in assaults and criminal damage incidents, particularly around the 11 to 19-month mark, where multiple incidents of criminal damage and theft are reported. Towards the later months, motor vehicle theft re-emerges, indicating a recurring pattern. Overall, the data reveals that assaults and criminal damage tend to cluster in the mid to late timeline, while motor vehicle theft appears both early and late in the sequence." }, { "dim_process": 20, "seq_idx": 334, "seq_len": 52, "time_since_start": [ 0.0, 1.0692824074074074, 3.1546527777777778, 3.6347453703703705, 3.8315509259259257, 4.963101851851852, 5.052615740740741, 5.091875, 5.190347222222222, 6.222060185185185, 6.981087962962963, 7.972638888888889, 8.021365740740741, 8.638726851851851, 8.972060185185185, 9.588726851851852, 10.10261574074074, 10.112106481481481, 10.141967592592593, 10.224837962962964, 11.374837962962962, 11.90886574074074, 12.771273148148149, 13.164421296296297, 13.376226851851852, 14.111018518518518, 14.11275462962963, 15.28386574074074, 15.28386574074074, 15.457685185185186, 15.73712962962963, 16.81858796296296, 17.46787037037037, 17.473796296296296, 17.56460648148148, 17.723449074074075, 18.237337962962965, 18.497546296296296, 18.639652777777776, 18.904166666666665, 19.035833333333333, 19.525532407407407, 19.978657407407407, 20.03074074074074, 20.137337962962963, 20.267199074074075, 20.883171296296297, 21.011643518518518, 22.220578703703705, 22.374837962962964, 22.765231481481482, 22.78997685185185 ], "time_since_last_event": [ 0.0, 1.0692824074074074, 2.0853703703703705, 0.48009259259259257, 0.19680555555555557, 1.131550925925926, 0.08951388888888889, 0.03925925925925926, 0.09847222222222222, 1.0317129629629629, 0.7590277777777777, 0.991550925925926, 0.048726851851851855, 0.6173611111111111, 0.3333333333333333, 0.6166666666666667, 0.5138888888888888, 0.00949074074074074, 0.029861111111111113, 0.08287037037037037, 1.15, 0.5340277777777778, 0.8624074074074074, 0.39314814814814814, 0.21180555555555555, 0.7347916666666666, 0.001736111111111111, 1.1711111111111112, 0.0, 0.17381944444444444, 0.27944444444444444, 1.0814583333333334, 0.6492824074074074, 0.005925925925925926, 0.09081018518518519, 0.1588425925925926, 0.5138888888888888, 0.2602083333333333, 0.14210648148148147, 0.2645138888888889, 0.13166666666666665, 0.4896990740740741, 0.453125, 0.052083333333333336, 0.10659722222222222, 0.12986111111111112, 0.6159722222222223, 0.1284722222222222, 1.2089351851851853, 0.15425925925925926, 0.3903935185185185, 0.02474537037037037 ], "type_event": [ 7, 8, 1, 6, 9, 8, 4, 9, 7, 6, 0, 8, 6, 15, 4, 3, 8, 4, 0, 10, 6, 0, 8, 5, 8, 7, 1, 6, 7, 6, 7, 4, 19, 7, 1, 9, 0, 6, 6, 7, 7, 4, 7, 6, 0, 7, 9, 12, 9, 0, 6, 9 ], "type_text": [ "Battery", "Other Offense", "Weapons Violation", "Criminal Damage", "Assault", "Other Offense", "Motor Vehicle Theft", "Assault", "Battery", "Criminal Damage", "Theft", "Other Offense", "Criminal Damage", "Interference With Public Officer", "Motor Vehicle Theft", "Deceptive Practice", "Other Offense", "Motor Vehicle Theft", "Theft", "Burglary", "Criminal Damage", "Theft", "Other Offense", "Criminal Trespass", "Other Offense", "Battery", "Weapons Violation", "Criminal Damage", "Battery", "Criminal Damage", "Battery", "Motor Vehicle Theft", "Homicide", "Battery", "Weapons Violation", "Assault", "Theft", "Criminal Damage", "Criminal Damage", "Battery", "Battery", "Motor Vehicle Theft", "Battery", "Criminal Damage", "Theft", "Battery", "Assault", "Arson", "Assault", "Theft", "Criminal Damage", "Assault" ], "description": "The sequence of crime incidents shows a progression of various crime types over time, with certain categories appearing more frequently at specific intervals. Initially, incidents such as battery and other offenses are reported, followed by a rise in weapons violations and criminal damage in the early months. As time progresses, there is a noticeable increase in theft and motor vehicle theft incidents, particularly in the later months. Additionally, there are clusters of battery and criminal damage incidents occurring in the middle to later stages of the timeline, alongside a few serious offenses like homicide and arson. Overall, the sequence reflects a diverse range of crime types with certain patterns of clustering and escalation over the observed period." }, { "dim_process": 20, "seq_idx": 335, "seq_len": 76, "time_since_start": [ 0.0, 0.4362962962962963, 1.0086342592592592, 1.0660185185185185, 1.1401620370370371, 1.4430092592592592, 1.4456481481481482, 1.794675925925926, 2.2147916666666667, 2.5238425925925925, 2.879074074074074, 3.1300925925925926, 3.1472685185185183, 3.2907175925925927, 3.58287037037037, 3.666574074074074, 3.8581944444444445, 3.8759259259259258, 4.214236111111111, 4.307638888888889, 4.322847222222222, 4.536342592592592, 5.418634259259259, 5.797592592592593, 6.008333333333334, 6.298425925925926, 6.33037037037037, 6.998263888888889, 7.525231481481481, 7.557175925925926, 7.775925925925926, 7.923148148148148, 7.932546296296296, 8.208564814814816, 8.274444444444445, 8.274444444444445, 9.071157407407407, 9.900810185185184, 10.062337962962962, 10.362314814814814, 10.53425925925926, 10.681018518518519, 10.798865740740741, 10.89398148148148, 11.399537037037037, 11.812685185185185, 11.928703703703704, 11.959814814814814, 12.620347222222222, 12.917592592592593, 12.93287037037037, 13.572083333333333, 13.752314814814815, 14.206111111111111, 14.632685185185185, 15.742592592592592, 16.918518518518518, 17.05648148148148, 17.457615740740742, 17.98986111111111, 18.449444444444445, 18.683333333333334, 18.90474537037037, 19.517592592592592, 19.611342592592592, 19.982777777777777, 20.078703703703702, 20.50402777777778, 21.388842592592592, 21.437037037037037, 22.86875, 22.871064814814815, 23.501828703703705, 23.631481481481483, 23.678425925925925, 23.89953703703704 ], "time_since_last_event": [ 0.0, 0.4362962962962963, 0.5723379629629629, 0.05738425925925926, 0.07414351851851853, 0.3028472222222222, 0.002638888888888889, 0.34902777777777777, 0.42011574074074076, 0.3090509259259259, 0.3552314814814815, 0.25101851851851853, 0.017175925925925924, 0.14344907407407406, 0.29215277777777776, 0.0837037037037037, 0.19162037037037036, 0.01773148148148148, 0.3383101851851852, 0.09340277777777778, 0.015208333333333334, 0.21349537037037036, 0.8822916666666667, 0.37895833333333334, 0.21074074074074073, 0.29009259259259257, 0.03194444444444444, 0.6678935185185185, 0.5269675925925926, 0.03194444444444444, 0.21875, 0.14722222222222223, 0.009398148148148149, 0.2760185185185185, 0.06587962962962964, 0.0, 0.796712962962963, 0.8296527777777778, 0.16152777777777777, 0.29997685185185186, 0.17194444444444446, 0.14675925925925926, 0.11784722222222223, 0.09511574074074074, 0.5055555555555555, 0.41314814814814815, 0.11601851851851852, 0.03111111111111111, 0.6605324074074074, 0.29724537037037035, 0.015277777777777777, 0.6392129629629629, 0.1802314814814815, 0.4537962962962963, 0.42657407407407405, 1.1099074074074073, 1.1759259259259258, 0.13796296296296295, 0.4011342592592593, 0.5322453703703703, 0.45958333333333334, 0.2338888888888889, 0.22141203703703705, 0.6128472222222222, 0.09375, 0.3714351851851852, 0.09592592592592593, 0.4253240740740741, 0.8848148148148148, 0.04819444444444444, 1.431712962962963, 0.0023148148148148147, 0.6307638888888889, 0.12965277777777778, 0.04694444444444444, 0.22111111111111112 ], "type_event": [ 11, 1, 4, 9, 9, 0, 7, 11, 11, 6, 11, 9, 9, 6, 0, 7, 1, 6, 7, 7, 1, 1, 7, 1, 8, 6, 1, 9, 4, 9, 0, 0, 7, 9, 1, 7, 1, 8, 3, 1, 15, 16, 7, 4, 11, 11, 8, 8, 5, 7, 4, 1, 11, 1, 15, 8, 7, 11, 7, 7, 9, 0, 0, 5, 4, 7, 4, 16, 7, 7, 1, 16, 16, 7, 1, 0 ], "type_text": [ "Robbery", "Weapons Violation", "Motor Vehicle Theft", "Assault", "Assault", "Theft", "Battery", "Robbery", "Robbery", "Criminal Damage", "Robbery", "Assault", "Assault", "Criminal Damage", "Theft", "Battery", "Weapons Violation", "Criminal Damage", "Battery", "Battery", "Weapons Violation", "Weapons Violation", "Battery", "Weapons Violation", "Other Offense", "Criminal Damage", "Weapons Violation", "Assault", "Motor Vehicle Theft", "Assault", "Theft", "Theft", "Battery", "Assault", "Weapons Violation", "Battery", "Weapons Violation", "Other Offense", "Deceptive Practice", "Weapons Violation", "Interference With Public Officer", "Narcotics", "Battery", "Motor Vehicle Theft", "Robbery", "Robbery", "Other Offense", "Other Offense", "Criminal Trespass", "Battery", "Motor Vehicle Theft", "Weapons Violation", "Robbery", "Weapons Violation", "Interference With Public Officer", "Other Offense", "Battery", "Robbery", "Battery", "Battery", "Assault", "Theft", "Theft", "Criminal Trespass", "Motor Vehicle Theft", "Battery", "Motor Vehicle Theft", "Narcotics", "Battery", "Battery", "Weapons Violation", "Narcotics", "Narcotics", "Battery", "Weapons Violation", "Theft" ], "description": "The sequence of crime incidents shows a variety of crime types occurring over time, with notable clustering of certain events. Initially, incidents such as robbery and weapons violations appear early in the timeline, while motor vehicle theft and assaults also occur within the first few months. As time progresses, there is a noticeable increase in the frequency of battery incidents, particularly in the later months, alongside a consistent presence of weapons violations. Other offenses, including narcotics and criminal damage, appear sporadically throughout the timeline, with a gradual rise in theft incidents towards the latter part of the sequence. Overall, the data reflects a pattern of diverse criminal activities with certain types, like battery and theft, becoming more prevalent as time advances." }, { "dim_process": 20, "seq_idx": 336, "seq_len": 32, "time_since_start": [ 0.0, 2.3163194444444444, 2.7225462962962963, 9.365231481481482, 9.77824074074074, 11.213541666666666, 11.30486111111111, 12.751388888888888, 12.943055555555556, 14.596296296296297, 14.694375, 14.988564814814815, 15.145138888888889, 15.156944444444445, 15.183333333333334, 15.854166666666666, 16.033703703703704, 16.475, 16.591597222222223, 16.98462962962963, 19.239467592592593, 19.434050925925927, 19.434143518518518, 20.489814814814814, 20.593055555555555, 20.733333333333334, 21.420833333333334, 21.483333333333334, 21.97222222222222, 22.190277777777776, 23.11287037037037, 23.655555555555555 ], "time_since_last_event": [ 0.0, 2.3163194444444444, 0.40622685185185187, 6.642685185185186, 0.41300925925925924, 1.435300925925926, 0.09131944444444444, 1.4465277777777779, 0.19166666666666668, 1.6532407407407408, 0.09807870370370371, 0.2941898148148148, 0.1565740740740741, 0.011805555555555555, 0.02638888888888889, 0.6708333333333333, 0.17953703703703705, 0.4412962962962963, 0.11659722222222223, 0.3930324074074074, 2.254837962962963, 0.19458333333333333, 9.259259259259259e-05, 1.0556712962962962, 0.10324074074074074, 0.14027777777777778, 0.6875, 0.0625, 0.4888888888888889, 0.21805555555555556, 0.9225925925925926, 0.5426851851851852 ], "type_event": [ 4, 6, 9, 6, 9, 8, 4, 0, 8, 9, 9, 13, 0, 2, 8, 8, 6, 6, 8, 8, 8, 9, 6, 7, 6, 7, 6, 0, 0, 4, 6, 4 ], "type_text": [ "Motor Vehicle Theft", "Criminal Damage", "Assault", "Criminal Damage", "Assault", "Other Offense", "Motor Vehicle Theft", "Theft", "Other Offense", "Assault", "Assault", "Offense Involving Children", "Theft", "Sex Offense", "Other Offense", "Other Offense", "Criminal Damage", "Criminal Damage", "Other Offense", "Other Offense", "Other Offense", "Assault", "Criminal Damage", "Battery", "Criminal Damage", "Battery", "Criminal Damage", "Theft", "Theft", "Motor Vehicle Theft", "Criminal Damage", "Motor Vehicle Theft" ], "description": "The sequence of crime incidents shows a pattern where Motor Vehicle Theft occurs early, followed by various types of offenses, including Criminal Damage and Assault, which appear intermittently. A notable cluster of incidents occurs around the 15-month mark, with multiple Other Offenses and Assaults reported. Criminal Damage events tend to appear consistently throughout the timeline, while Theft incidents are more concentrated in the later months. Overall, the sequence indicates a mix of crime types with some clustering, particularly in the middle to later months of the timeline." }, { "dim_process": 20, "seq_idx": 337, "seq_len": 36, "time_since_start": [ 0.0, 1.930949074074074, 5.297083333333333, 5.305138888888889, 5.362361111111111, 5.838055555555556, 6.505416666666667, 7.526365740740741, 7.76212962962963, 7.763287037037037, 7.996736111111111, 9.430416666666666, 9.905416666666667, 9.970694444444444, 10.279050925925926, 10.558263888888888, 12.004027777777777, 12.222083333333334, 13.208541666666667, 15.491527777777778, 16.567916666666665, 16.608819444444446, 16.83388888888889, 17.037592592592592, 17.366527777777776, 17.41428240740741, 17.836666666666666, 17.952638888888888, 18.088356481481483, 18.904027777777777, 20.990717592592592, 21.42287037037037, 21.56861111111111, 22.519606481481482, 22.537476851851853, 22.54222222222222 ], "time_since_last_event": [ 0.0, 1.930949074074074, 3.366134259259259, 0.008055555555555555, 0.05722222222222222, 0.4756944444444444, 0.6673611111111111, 1.020949074074074, 0.23576388888888888, 0.0011574074074074073, 0.2334490740740741, 1.4336805555555556, 0.475, 0.06527777777777778, 0.3083564814814815, 0.27921296296296294, 1.4457638888888888, 0.21805555555555556, 0.9864583333333333, 2.282986111111111, 1.0763888888888888, 0.04090277777777778, 0.22506944444444443, 0.2037037037037037, 0.32893518518518516, 0.04775462962962963, 0.42238425925925926, 0.11597222222222223, 0.13571759259259258, 0.8156712962962963, 2.086689814814815, 0.4321527777777778, 0.14574074074074075, 0.9509953703703704, 0.01787037037037037, 0.00474537037037037 ], "type_event": [ 7, 8, 6, 6, 5, 9, 8, 3, 6, 4, 0, 0, 8, 7, 3, 4, 4, 9, 1, 9, 13, 7, 7, 7, 9, 7, 4, 4, 0, 7, 4, 12, 5, 4, 2, 9 ], "type_text": [ "Battery", "Other Offense", "Criminal Damage", "Criminal Damage", "Criminal Trespass", "Assault", "Other Offense", "Deceptive Practice", "Criminal Damage", "Motor Vehicle Theft", "Theft", "Theft", "Other Offense", "Battery", "Deceptive Practice", "Motor Vehicle Theft", "Motor Vehicle Theft", "Assault", "Weapons Violation", "Assault", "Offense Involving Children", "Battery", "Battery", "Battery", "Assault", "Battery", "Motor Vehicle Theft", "Motor Vehicle Theft", "Theft", "Battery", "Motor Vehicle Theft", "Arson", "Criminal Trespass", "Motor Vehicle Theft", "Sex Offense", "Assault" ], "description": "The sequence of crime incidents begins with a battery incident, followed by a variety of offenses, including other offenses and criminal damage, occurring within the first six months. As time progresses, there is a noticeable increase in the frequency of motor vehicle thefts, particularly clustering around the 12 to 22-month mark. Assaults and batteries also appear frequently in the latter half of the timeline, indicating a trend of violent offenses occurring later in the sequence. Overall, the data shows an escalation in both the diversity and frequency of crime types as time advances, particularly in the latter months." }, { "dim_process": 20, "seq_idx": 338, "seq_len": 35, "time_since_start": [ 0.0, 0.7336805555555556, 1.9953703703703705, 4.323148148148148, 4.398148148148148, 4.747476851851852, 5.343287037037037, 6.631087962962963, 7.655138888888889, 7.709953703703704, 8.025578703703705, 8.470069444444444, 9.331944444444444, 9.629398148148148, 12.329398148148147, 13.059953703703703, 13.257175925925926, 13.491898148148149, 14.09675925925926, 14.097453703703703, 14.198842592592593, 15.5375, 16.85787037037037, 17.109953703703702, 17.283703703703704, 17.637847222222224, 17.658564814814813, 17.829398148148147, 19.525925925925925, 20.660648148148148, 21.365162037037038, 21.943310185185187, 22.273842592592594, 22.798217592592593, 22.88773148148148 ], "time_since_last_event": [ 0.0, 0.7336805555555556, 1.2616898148148148, 2.327777777777778, 0.075, 0.3493287037037037, 0.5958101851851851, 1.287800925925926, 1.0240509259259258, 0.054814814814814816, 0.315625, 0.44449074074074074, 0.861875, 0.2974537037037037, 2.7, 0.7305555555555555, 0.19722222222222222, 0.23472222222222222, 0.6048611111111111, 0.0006944444444444445, 0.10138888888888889, 1.3386574074074074, 1.3203703703703704, 0.2520833333333333, 0.17375, 0.3541435185185185, 0.020717592592592593, 0.17083333333333334, 1.6965277777777779, 1.1347222222222222, 0.7045138888888889, 0.5781481481481482, 0.3305324074074074, 0.524375, 0.08951388888888889 ], "type_event": [ 0, 9, 7, 0, 7, 7, 0, 6, 2, 0, 9, 9, 7, 7, 7, 13, 4, 9, 9, 9, 7, 8, 6, 10, 0, 6, 10, 4, 7, 0, 9, 6, 4, 7, 3 ], "type_text": [ "Theft", "Assault", "Battery", "Theft", "Battery", "Battery", "Theft", "Criminal Damage", "Sex Offense", "Theft", "Assault", "Assault", "Battery", "Battery", "Battery", "Offense Involving Children", "Motor Vehicle Theft", "Assault", "Assault", "Assault", "Battery", "Other Offense", "Criminal Damage", "Burglary", "Theft", "Criminal Damage", "Burglary", "Motor Vehicle Theft", "Battery", "Theft", "Assault", "Criminal Damage", "Motor Vehicle Theft", "Battery", "Deceptive Practice" ], "description": "The sequence of crime incidents shows a varied pattern over time, with theft and battery occurring frequently throughout the timeline. Early incidents include theft and assault, while battery incidents begin to cluster around the 2 to 12-month mark. Criminal damage and motor vehicle theft appear later in the sequence, particularly from the 16-month mark onward. The frequency of assaults increases notably in the later months, suggesting a trend of escalating incidents as time progresses. Overall, there is a mix of crime types, with certain categories like battery and theft appearing multiple times across different periods." }, { "dim_process": 20, "seq_idx": 339, "seq_len": 46, "time_since_start": [ 0.0, 1.2011342592592593, 1.358425925925926, 1.4218055555555555, 1.4385185185185185, 1.5496296296296297, 2.557847222222222, 2.981689814814815, 4.747939814814814, 5.528240740740741, 6.555879629629629, 6.758333333333334, 7.369212962962963, 7.5183333333333335, 7.5334259259259255, 8.164907407407407, 8.428055555555556, 8.658564814814815, 8.698263888888889, 8.69962962962963, 8.74638888888889, 9.140277777777778, 9.504351851851851, 9.897430555555555, 10.263078703703703, 11.545462962962963, 11.955185185185185, 12.178564814814814, 12.344074074074074, 13.26074074074074, 13.409351851851852, 14.272199074074074, 14.343379629629629, 15.264444444444445, 15.503101851851852, 17.78712962962963, 17.827106481481483, 17.97300925925926, 18.083657407407408, 18.888541666666665, 20.406574074074076, 20.42787037037037, 20.860046296296296, 21.316643518518518, 21.34175925925926, 22.434467592592593 ], "time_since_last_event": [ 0.0, 1.2011342592592593, 0.15729166666666666, 0.06337962962962963, 0.016712962962962964, 0.1111111111111111, 1.0082175925925927, 0.4238425925925926, 1.76625, 0.7803009259259259, 1.027638888888889, 0.2024537037037037, 0.6108796296296296, 0.14912037037037038, 0.015092592592592593, 0.6314814814814815, 0.26314814814814813, 0.23050925925925925, 0.039699074074074074, 0.0013657407407407407, 0.04675925925925926, 0.3938888888888889, 0.36407407407407405, 0.3930787037037037, 0.36564814814814817, 1.2823842592592594, 0.4097222222222222, 0.22337962962962962, 0.16550925925925927, 0.9166666666666666, 0.1486111111111111, 0.8628472222222222, 0.07118055555555555, 0.9210648148148148, 0.2386574074074074, 2.2840277777777778, 0.039976851851851854, 0.14590277777777777, 0.11064814814814815, 0.8048842592592592, 1.5180324074074074, 0.021296296296296296, 0.4321759259259259, 0.4565972222222222, 0.02511574074074074, 1.0927083333333334 ], "type_event": [ 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 9, 6, 6, 9, 0, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 4, 6, 0, 6, 18, 4, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 4, 6, 6, 6, 6 ], "type_text": [ "Criminal Damage", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Assault", "Criminal Damage", "Criminal Damage", "Assault", "Theft", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Motor Vehicle Theft", "Criminal Damage", "Theft", "Criminal Damage", "Public Peace Violation", "Motor Vehicle Theft", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Motor Vehicle Theft", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Criminal Damage" ], "description": "The sequence of crime incidents begins predominantly with multiple occurrences of Criminal Damage within the first few months, establishing a pattern of high frequency early on. As time progresses, there are brief interludes of other crime types, including Assault and Theft, around the 6 to 12-month mark, but Criminal Damage remains the most frequent type throughout. The incidents of Criminal Damage continue to cluster, particularly in the later months, with notable spikes leading up to the 22-month mark. Motor Vehicle Theft appears sporadically, primarily in the latter half of the timeline, while Public Peace Violation is a singular event occurring in the middle of the sequence. Overall, Criminal Damage consistently dominates the timeline, with other crime types emerging less frequently." }, { "dim_process": 20, "seq_idx": 340, "seq_len": 41, "time_since_start": [ 0.0, 0.35682870370370373, 0.743125, 0.98125, 1.1927083333333333, 1.3739583333333334, 1.6952546296296296, 2.452662037037037, 3.204953703703704, 5.966319444444444, 6.009837962962963, 6.091319444444444, 6.913541666666666, 7.140787037037037, 7.3071064814814815, 7.394537037037037, 8.535046296296295, 9.506597222222222, 9.612152777777778, 9.837152777777778, 10.288541666666667, 11.476041666666667, 13.825300925925927, 14.856597222222222, 15.07048611111111, 15.271828703703704, 15.576157407407408, 15.593055555555555, 16.188541666666666, 16.657523148148147, 17.759050925925926, 17.867708333333333, 17.912569444444443, 18.897106481481483, 19.684375, 19.96125, 21.656041666666667, 22.088541666666668, 22.69, 23.258680555555557, 23.892407407407408 ], "time_since_last_event": [ 0.0, 0.35682870370370373, 0.3862962962962963, 0.238125, 0.21145833333333333, 0.18125, 0.3212962962962963, 0.7574074074074074, 0.7522916666666667, 2.761365740740741, 0.04351851851851852, 0.08148148148148149, 0.8222222222222222, 0.22724537037037038, 0.16631944444444444, 0.08743055555555555, 1.1405092592592592, 0.971550925925926, 0.10555555555555556, 0.225, 0.4513888888888889, 1.1875, 2.3492592592592594, 1.0312962962962964, 0.21388888888888888, 0.2013425925925926, 0.3043287037037037, 0.016898148148148148, 0.5954861111111112, 0.4689814814814815, 1.1015277777777779, 0.10865740740740741, 0.04486111111111111, 0.984537037037037, 0.7872685185185185, 0.276875, 1.6947916666666667, 0.4325, 0.6014583333333333, 0.5686805555555555, 0.6337268518518518 ], "type_event": [ 6, 6, 7, 6, 9, 7, 8, 9, 17, 9, 7, 3, 4, 1, 11, 18, 7, 4, 6, 7, 8, 10, 9, 0, 0, 9, 7, 7, 3, 9, 8, 4, 7, 7, 7, 8, 8, 10, 7, 7, 0 ], "type_text": [ "Criminal Damage", "Criminal Damage", "Battery", "Criminal Damage", "Assault", "Battery", "Other Offense", "Assault", "Stalking", "Assault", "Battery", "Deceptive Practice", "Motor Vehicle Theft", "Weapons Violation", "Robbery", "Public Peace Violation", "Battery", "Motor Vehicle Theft", "Criminal Damage", "Battery", "Other Offense", "Burglary", "Assault", "Theft", "Theft", "Assault", "Battery", "Battery", "Deceptive Practice", "Assault", "Other Offense", "Motor Vehicle Theft", "Battery", "Battery", "Battery", "Other Offense", "Other Offense", "Burglary", "Battery", "Battery", "Theft" ], "description": "The sequence of crime incidents shows a pattern where Criminal Damage and Battery are among the earliest reported offenses, with multiple occurrences clustered within the first few months. Assault incidents appear intermittently, with some clustering around the 1 to 3-month mark and again around the 15-month mark. Motor Vehicle Theft and Other Offenses appear later in the timeline, particularly after the 6-month mark, indicating a shift in the types of crimes reported. The sequence also reveals a notable presence of Theft and Burglary incidents occurring towards the later months, suggesting a potential trend in the nature of offenses over time." }, { "dim_process": 20, "seq_idx": 341, "seq_len": 105, "time_since_start": [ 0.0, 0.5751388888888889, 1.079351851851852, 1.2269675925925927, 1.255787037037037, 1.5457175925925926, 1.9109953703703704, 1.9755787037037038, 2.8429398148148146, 3.488796296296296, 3.633912037037037, 4.1179398148148145, 4.654050925925926, 4.901273148148148, 5.0971064814814815, 5.278472222222222, 5.4721064814814815, 5.623726851851852, 5.882430555555556, 6.0033564814814815, 6.073935185185185, 6.476921296296296, 6.7221064814814815, 6.744328703703704, 6.915162037037037, 8.116550925925926, 8.468055555555555, 8.80914351851852, 9.046296296296296, 9.40960648148148, 9.583217592592593, 9.666550925925925, 9.753240740740742, 9.91099537037037, 10.239513888888888, 10.822106481481482, 10.875578703703704, 11.321412037037037, 11.41025462962963, 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20.55326388888889, 20.733564814814816, 21.002314814814813, 21.065856481481482, 21.07673611111111, 21.255462962962962, 21.33599537037037, 21.634953703703705, 21.70689814814815, 21.736296296296295, 21.805439814814815, 22.041875, 22.254328703703703, 22.27488425925926, 22.80199074074074 ], "time_since_last_event": [ 0.0, 0.5751388888888889, 0.5042129629629629, 0.14761574074074074, 0.028819444444444446, 0.2899305555555556, 0.36527777777777776, 0.06458333333333334, 0.8673611111111111, 0.6458564814814814, 0.14511574074074074, 0.4840277777777778, 0.5361111111111111, 0.24722222222222223, 0.19583333333333333, 0.18136574074074074, 0.19363425925925926, 0.15162037037037038, 0.2587037037037037, 0.12092592592592592, 0.0705787037037037, 0.4029861111111111, 0.24518518518518517, 0.022222222222222223, 0.17083333333333334, 1.2013888888888888, 0.35150462962962964, 0.34108796296296295, 0.23715277777777777, 0.3633101851851852, 0.1736111111111111, 0.08333333333333333, 0.08668981481481482, 0.15775462962962963, 0.32851851851851854, 0.5825925925925926, 0.05347222222222222, 0.44583333333333336, 0.0888425925925926, 0.04016203703703704, 0.0755787037037037, 0.06275462962962963, 0.15002314814814816, 0.011944444444444445, 0.10263888888888889, 0.08333333333333333, 0.13680555555555557, 0.40377314814814813, 0.13233796296296296, 0.3701388888888889, 0.24291666666666667, 0.4251388888888889, 0.007638888888888889, 0.09930555555555555, 0.6340277777777777, 0.05416666666666667, 0.33525462962962965, 0.0744675925925926, 0.03333333333333333, 0.08074074074074074, 0.34564814814814815, 0.058541666666666665, 0.28402777777777777, 0.0425, 0.07048611111111111, 0.05138888888888889, 0.3667824074074074, 0.008217592592592592, 0.425, 0.06840277777777778, 0.10381944444444445, 0.5138888888888888, 0.2506481481481482, 0.2326851851851852, 0.05, 0.4486111111111111, 0.03715277777777778, 0.04884259259259259, 0.014884259259259259, 0.4025925925925926, 0.4840277777777778, 0.16409722222222223, 0.10655092592592592, 0.012152777777777778, 0.04358796296296296, 0.1486111111111111, 0.15208333333333332, 0.08828703703703704, 0.18976851851851853, 0.3698611111111111, 0.0033796296296296296, 0.18030092592592592, 0.26875, 0.06354166666666666, 0.01087962962962963, 0.17872685185185186, 0.08053240740740741, 0.2989583333333333, 0.07194444444444445, 0.02939814814814815, 0.06914351851851852, 0.2364351851851852, 0.2124537037037037, 0.020555555555555556, 0.5271064814814815 ], "type_event": [ 9, 4, 7, 7, 7, 9, 9, 7, 9, 3, 7, 10, 7, 9, 4, 9, 7, 9, 3, 4, 8, 7, 7, 10, 4, 10, 9, 10, 7, 3, 7, 1, 5, 4, 9, 6, 4, 7, 8, 7, 7, 10, 8, 0, 7, 7, 4, 1, 2, 9, 10, 7, 8, 10, 6, 0, 7, 0, 7, 6, 0, 6, 18, 7, 9, 10, 8, 7, 9, 0, 11, 0, 8, 7, 6, 6, 7, 7, 7, 12, 0, 9, 11, 0, 7, 10, 4, 6, 4, 6, 7, 7, 11, 4, 5, 0, 6, 9, 7, 6, 7, 4, 7, 7, 8 ], "type_text": [ "Assault", "Motor Vehicle Theft", "Battery", "Battery", "Battery", "Assault", "Assault", "Battery", "Assault", "Deceptive Practice", "Battery", "Burglary", "Battery", "Assault", "Motor Vehicle Theft", "Assault", "Battery", "Assault", "Deceptive Practice", "Motor Vehicle Theft", "Other Offense", "Battery", "Battery", "Burglary", "Motor Vehicle Theft", "Burglary", "Assault", "Burglary", "Battery", "Deceptive Practice", "Battery", "Weapons Violation", "Criminal Trespass", "Motor Vehicle Theft", "Assault", "Criminal Damage", "Motor Vehicle Theft", "Battery", "Other Offense", "Battery", "Battery", "Burglary", "Other Offense", "Theft", "Battery", "Battery", "Motor Vehicle Theft", "Weapons Violation", "Sex Offense", "Assault", "Burglary", "Battery", "Other Offense", "Burglary", "Criminal Damage", "Theft", "Battery", "Theft", "Battery", "Criminal Damage", "Theft", "Criminal Damage", "Public Peace Violation", "Battery", "Assault", "Burglary", "Other Offense", "Battery", "Assault", "Theft", "Robbery", "Theft", "Other Offense", "Battery", "Criminal Damage", "Criminal Damage", "Battery", "Battery", "Battery", "Arson", "Theft", "Assault", "Robbery", "Theft", "Battery", "Burglary", "Motor Vehicle Theft", "Criminal Damage", "Motor Vehicle Theft", "Criminal Damage", "Battery", "Battery", "Robbery", "Motor Vehicle Theft", "Criminal Trespass", "Theft", "Criminal Damage", "Assault", "Battery", "Criminal Damage", "Battery", "Motor Vehicle Theft", "Battery", "Battery", "Other Offense" ], "description": "The sequence of crime incidents begins with assaults and motor vehicle thefts occurring within the first few months, followed by a notable cluster of battery incidents shortly thereafter. As time progresses, there is a gradual increase in the variety of crime types, including burglaries and deceptive practices, with these events appearing more frequently in the later months. Throughout the timeline, motor vehicle theft remains a recurring event, while battery incidents show a consistent presence, suggesting a trend of clustering around certain crime types at various intervals. Towards the end of the sequence, there is a notable rise in thefts and criminal damage incidents, indicating a diversification of crime types as time advances." }, { "dim_process": 20, "seq_idx": 342, "seq_len": 31, "time_since_start": [ 0.0, 1.9502083333333333, 2.243310185185185, 4.707847222222222, 4.727546296296296, 4.896736111111111, 4.952962962962963, 5.098125, 5.737013888888889, 5.758541666666667, 5.846736111111111, 6.768958333333333, 7.098125, 7.341180555555556, 8.38701388888889, 8.434236111111112, 9.670347222222222, 12.705069444444444, 13.688402777777778, 13.853680555555556, 14.029375, 14.033773148148148, 15.198819444444444, 15.538101851851852, 15.598125, 17.130069444444445, 19.36988425925926, 19.373425925925925, 20.622962962962962, 22.63423611111111, 22.72138888888889 ], "time_since_last_event": [ 0.0, 1.9502083333333333, 0.29310185185185184, 2.464537037037037, 0.019699074074074074, 0.16918981481481482, 0.056226851851851854, 0.14516203703703703, 0.6388888888888888, 0.021527777777777778, 0.08819444444444445, 0.9222222222222223, 0.32916666666666666, 0.24305555555555555, 1.0458333333333334, 0.04722222222222222, 1.2361111111111112, 3.0347222222222223, 0.9833333333333333, 0.16527777777777777, 0.17569444444444443, 0.004398148148148148, 1.1650462962962962, 0.3392824074074074, 0.060023148148148145, 1.5319444444444446, 2.2398148148148147, 0.0035416666666666665, 1.2495370370370371, 2.011273148148148, 0.08715277777777777 ], "type_event": [ 8, 0, 1, 6, 5, 10, 7, 4, 0, 0, 6, 4, 6, 4, 13, 0, 9, 9, 3, 4, 0, 7, 4, 8, 4, 0, 9, 9, 0, 6, 7 ], "type_text": [ "Other Offense", "Theft", "Weapons Violation", "Criminal Damage", "Criminal Trespass", "Burglary", "Battery", "Motor Vehicle Theft", "Theft", "Theft", "Criminal Damage", "Motor Vehicle Theft", "Criminal Damage", "Motor Vehicle Theft", "Offense Involving Children", "Theft", "Assault", "Assault", "Deceptive Practice", "Motor Vehicle Theft", "Theft", "Battery", "Motor Vehicle Theft", "Other Offense", "Motor Vehicle Theft", "Theft", "Assault", "Assault", "Theft", "Criminal Damage", "Battery" ], "description": "The sequence of crime incidents begins with an \"Other Offense\" followed by a theft and a weapons violation within the first few months. A cluster of incidents, including various thefts, motor vehicle thefts, and criminal damage, occurs between approximately 5 and 8 months. Assaults appear later in the timeline, with two incidents occurring around the 19-month mark. The sequence shows a recurring pattern of thefts, especially motor vehicle thefts, which are prevalent throughout the timeline, while assaults and criminal damage also emerge as notable trends in the latter part of the sequence." }, { "dim_process": 20, "seq_idx": 343, "seq_len": 30, "time_since_start": [ 0.0, 1.5117592592592592, 2.0301388888888887, 3.4340277777777777, 6.213009259259259, 8.434259259259258, 9.170810185185186, 10.626226851851852, 11.232870370370371, 11.313310185185186, 11.802777777777777, 11.919444444444444, 11.972222222222221, 12.877777777777778, 13.680555555555555, 13.967361111111112, 14.766296296296296, 14.919444444444444, 14.977777777777778, 15.140277777777778, 15.281944444444445, 16.398611111111112, 17.474305555555556, 17.938958333333332, 18.8375, 19.247175925925927, 20.033680555555556, 20.781944444444445, 21.67625, 23.23576388888889 ], "time_since_last_event": [ 0.0, 1.5117592592592592, 0.5183796296296296, 1.403888888888889, 2.7789814814814813, 2.22125, 0.736550925925926, 1.4554166666666666, 0.6066435185185185, 0.08043981481481481, 0.4894675925925926, 0.11666666666666667, 0.05277777777777778, 0.9055555555555556, 0.8027777777777778, 0.28680555555555554, 0.7989351851851851, 0.15314814814814814, 0.058333333333333334, 0.1625, 0.14166666666666666, 1.1166666666666667, 1.0756944444444445, 0.4646527777777778, 0.8985416666666667, 0.40967592592592594, 0.7865046296296296, 0.7482638888888888, 0.8943055555555556, 1.5595138888888889 ], "type_event": [ 8, 0, 7, 7, 1, 7, 9, 10, 11, 11, 8, 3, 7, 7, 4, 3, 7, 8, 0, 6, 9, 9, 9, 8, 7, 8, 7, 7, 16, 9 ], "type_text": [ "Other Offense", "Theft", "Battery", "Battery", "Weapons Violation", "Battery", "Assault", "Burglary", "Robbery", "Robbery", "Other Offense", "Deceptive Practice", "Battery", "Battery", "Motor Vehicle Theft", "Deceptive Practice", "Battery", "Other Offense", "Theft", "Criminal Damage", "Assault", "Assault", "Assault", "Other Offense", "Battery", "Other Offense", "Battery", "Battery", "Narcotics", "Assault" ], "description": "The sequence of crime incidents begins with an \"Other Offense\" at the start, followed by a theft, and then a series of battery incidents that occur intermittently throughout the timeline. As time progresses, there is a noticeable increase in the frequency of assaults and other offenses, particularly in the later months. Robberies and deceptive practices appear clustered around the 11 to 12-month mark. The sequence also shows a gradual emergence of narcotics-related incidents towards the end, indicating a potential shift in crime types over time. Overall, battery incidents are prevalent throughout, while other offenses and assaults tend to cluster in the latter half of the timeline." }, { "dim_process": 20, "seq_idx": 344, "seq_len": 39, "time_since_start": [ 0.0, 0.8935648148148149, 1.0440509259259259, 1.0963425925925927, 1.315787037037037, 3.676203703703704, 3.894953703703704, 3.901666666666667, 6.104375, 6.528287037037037, 6.622939814814814, 6.872731481481481, 6.992175925925926, 8.794560185185185, 9.753981481481482, 10.567175925925927, 10.932453703703704, 11.997731481481482, 12.127592592592592, 13.181064814814814, 13.633842592592593, 13.78800925925926, 15.229675925925926, 15.626666666666667, 15.728287037037036, 15.835925925925926, 15.929675925925926, 16.55641203703704, 16.90050925925926, 17.19912037037037, 18.460949074074072, 18.532037037037036, 19.740092592592593, 21.16925925925926, 21.749513888888888, 22.924583333333334, 22.97458333333333, 22.981180555555557, 23.616712962962964 ], "time_since_last_event": [ 0.0, 0.8935648148148149, 0.1504861111111111, 0.05229166666666667, 0.21944444444444444, 2.3604166666666666, 0.21875, 0.006712962962962963, 2.2027083333333333, 0.42391203703703706, 0.09465277777777778, 0.24979166666666666, 0.11944444444444445, 1.8023842592592592, 0.9594212962962962, 0.8131944444444444, 0.36527777777777776, 1.0652777777777778, 0.12986111111111112, 1.0534722222222221, 0.4527777777777778, 0.15416666666666667, 1.4416666666666667, 0.39699074074074076, 0.10162037037037037, 0.1076388888888889, 0.09375, 0.6267361111111112, 0.3440972222222222, 0.2986111111111111, 1.2618287037037037, 0.07108796296296296, 1.2080555555555557, 1.4291666666666667, 0.5802546296296296, 1.1750694444444445, 0.05, 0.006597222222222222, 0.6355324074074075 ], "type_event": [ 5, 4, 5, 0, 4, 0, 0, 6, 7, 4, 7, 7, 4, 0, 9, 6, 7, 4, 10, 7, 0, 4, 9, 7, 10, 7, 11, 8, 10, 0, 7, 7, 9, 6, 7, 7, 4, 16, 7 ], "type_text": [ "Criminal Trespass", "Motor Vehicle Theft", "Criminal Trespass", "Theft", "Motor Vehicle Theft", "Theft", "Theft", "Criminal Damage", "Battery", "Motor Vehicle Theft", "Battery", "Battery", "Motor Vehicle Theft", "Theft", "Assault", "Criminal Damage", "Battery", "Motor Vehicle Theft", "Burglary", "Battery", "Theft", "Motor Vehicle Theft", "Assault", "Battery", "Burglary", "Battery", "Robbery", "Other Offense", "Burglary", "Theft", "Battery", "Battery", "Assault", "Criminal Damage", "Battery", "Battery", "Motor Vehicle Theft", "Narcotics", "Battery" ], "description": "The sequence of crime incidents shows a pattern where criminal trespass and motor vehicle theft occur early in the timeline, with multiple thefts following shortly after. Battery incidents begin to increase significantly around the six-month mark, peaking in frequency in the latter part of the sequence. Burglary events appear later, clustered around the 12 to 16-month range, while assaults also emerge in the latter half of the timeline. Overall, there is a notable increase in the variety and frequency of incidents as time progresses, particularly in the categories of battery and theft." }, { "dim_process": 20, "seq_idx": 345, "seq_len": 36, "time_since_start": [ 0.0, 1.006712962962963, 1.7763888888888888, 2.845833333333333, 3.636111111111111, 4.572222222222222, 4.925694444444445, 5.590972222222222, 5.825787037037037, 6.076643518518519, 6.3, 6.5710648148148145, 6.608148148148148, 6.809722222222222, 7.376388888888889, 7.6090277777777775, 9.28923611111111, 9.618055555555555, 9.761111111111111, 9.973611111111111, 10.67710648148148, 13.033680555555556, 13.934189814814815, 14.6625, 14.777777777777779, 15.26488425925926, 17.110416666666666, 17.568055555555556, 18.133287037037036, 18.558564814814815, 18.674305555555556, 19.17787037037037, 20.4375, 20.555347222222224, 21.862384259259258, 22.07638888888889 ], "time_since_last_event": [ 0.0, 1.006712962962963, 0.7696759259259259, 1.0694444444444444, 0.7902777777777777, 0.9361111111111111, 0.35347222222222224, 0.6652777777777777, 0.2348148148148148, 0.2508564814814815, 0.2233564814814815, 0.2710648148148148, 0.037083333333333336, 0.20157407407407407, 0.5666666666666667, 0.2326388888888889, 1.6802083333333333, 0.32881944444444444, 0.14305555555555555, 0.2125, 0.7034953703703704, 2.356574074074074, 0.9005092592592593, 0.7283101851851852, 0.11527777777777778, 0.4871064814814815, 1.8455324074074073, 0.4576388888888889, 0.5652314814814815, 0.42527777777777775, 0.11574074074074074, 0.5035648148148149, 1.2596296296296297, 0.11784722222222223, 1.307037037037037, 0.21400462962962963 ], "type_event": [ 7, 9, 4, 4, 4, 4, 10, 3, 6, 7, 7, 9, 8, 6, 0, 4, 4, 7, 7, 5, 9, 4, 7, 4, 4, 8, 0, 9, 4, 9, 7, 8, 4, 7, 7, 0 ], "type_text": [ "Battery", "Assault", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Burglary", "Deceptive Practice", "Criminal Damage", "Battery", "Battery", "Assault", "Other Offense", "Criminal Damage", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Battery", "Battery", "Criminal Trespass", "Assault", "Motor Vehicle Theft", "Battery", "Motor Vehicle Theft", "Motor Vehicle Theft", "Other Offense", "Theft", "Assault", "Motor Vehicle Theft", "Assault", "Battery", "Other Offense", "Motor Vehicle Theft", "Battery", "Battery", "Theft" ], "description": "The sequence of crime incidents begins with a battery incident, followed closely by an assault and several motor vehicle thefts occurring in the early months. Motor vehicle thefts appear to dominate the initial phase, with multiple occurrences clustered within the first few months. As time progresses, there is a noticeable increase in the variety of crime types, including assaults, burglaries, and criminal damage, particularly between the 5 to 10-month mark. Towards the later months, motor vehicle thefts continue to occur but are accompanied by a mix of other offenses, including thefts and batteries, indicating a more diverse pattern of incidents. Overall, the early months are characterized by a higher frequency of motor vehicle thefts, while the latter months show a broader range of crime types." }, { "dim_process": 20, "seq_idx": 346, "seq_len": 81, "time_since_start": [ 0.0, 0.0724537037037037, 0.2861342592592593, 0.36391203703703706, 0.37092592592592594, 0.9088194444444444, 0.976412037037037, 1.2105092592592592, 1.6271064814814815, 2.0453703703703705, 3.410601851851852, 3.441689814814815, 3.493587962962963, 4.227337962962963, 4.419467592592593, 4.713912037037037, 5.127986111111111, 5.159050925925926, 5.170648148148148, 5.671550925925926, 5.6764120370370375, 5.696203703703704, 5.699328703703704, 5.7538425925925925, 5.776435185185186, 6.597152777777778, 6.809189814814815, 7.257430555555556, 7.526064814814815, 7.690300925925926, 7.74724537037037, 7.927569444444444, 8.700717592592593, 8.929814814814815, 9.066689814814815, 9.43474537037037, 9.44099537037037, 9.471550925925927, 9.576412037037038, 9.601944444444445, 9.856273148148148, 10.03337962962963, 10.33099537037037, 10.988217592592592, 11.20974537037037, 11.252106481481482, 12.461828703703704, 13.123634259259259, 13.543078703703705, 13.894467592592592, 13.91599537037037, 14.92363425925926, 15.565300925925927, 15.566342592592592, 15.595856481481482, 15.794212962962963, 16.13335648148148, 16.29863425925926, 16.434050925925927, 16.757407407407406, 16.81662037037037, 16.837523148148147, 16.97710648148148, 18.062083333333334, 18.257546296296297, 18.332314814814815, 18.670162037037038, 19.43023148148148, 19.76474537037037, 20.168078703703703, 20.665300925925926, 21.793078703703703, 22.19261574074074, 22.30326388888889, 22.71002314814815, 23.30236111111111, 23.32724537037037, 23.42398148148148, 23.641689814814814, 23.643078703703704, 23.822708333333335 ], "time_since_last_event": [ 0.0, 0.0724537037037037, 0.21368055555555557, 0.07777777777777778, 0.007013888888888889, 0.5378935185185185, 0.06759259259259259, 0.23409722222222223, 0.41659722222222223, 0.4182638888888889, 1.3652314814814814, 0.031087962962962963, 0.05189814814814815, 0.73375, 0.19212962962962962, 0.29444444444444445, 0.4140740740740741, 0.031064814814814816, 0.011597222222222222, 0.5009027777777778, 0.004861111111111111, 0.019791666666666666, 0.003125, 0.05451388888888889, 0.02259259259259259, 0.8207175925925926, 0.21203703703703702, 0.4482407407407407, 0.26863425925925927, 0.1642361111111111, 0.05694444444444444, 0.18032407407407408, 0.7731481481481481, 0.22909722222222223, 0.136875, 0.3680555555555556, 0.00625, 0.030555555555555555, 0.10486111111111111, 0.025532407407407406, 0.2543287037037037, 0.17710648148148148, 0.29761574074074076, 0.6572222222222223, 0.22152777777777777, 0.04236111111111111, 1.2097222222222221, 0.6618055555555555, 0.41944444444444445, 0.35138888888888886, 0.021527777777777778, 1.007638888888889, 0.6416666666666667, 0.0010416666666666667, 0.029513888888888888, 0.1983564814814815, 0.33914351851851854, 0.16527777777777777, 0.13541666666666666, 0.3233564814814815, 0.05921296296296296, 0.020902777777777777, 0.13958333333333334, 1.0849768518518519, 0.19546296296296295, 0.07476851851851851, 0.33784722222222224, 0.7600694444444445, 0.3345138888888889, 0.4033333333333333, 0.49722222222222223, 1.1277777777777778, 0.399537037037037, 0.11064814814814815, 0.40675925925925926, 0.5923379629629629, 0.02488425925925926, 0.0967361111111111, 0.21770833333333334, 0.001388888888888889, 0.17962962962962964 ], "type_event": [ 0, 7, 6, 4, 7, 7, 0, 4, 9, 8, 7, 0, 3, 7, 6, 7, 6, 7, 8, 8, 7, 6, 7, 6, 0, 7, 7, 9, 4, 6, 10, 4, 4, 6, 4, 3, 9, 9, 6, 11, 7, 7, 0, 8, 4, 7, 9, 0, 8, 9, 7, 9, 7, 7, 6, 6, 9, 7, 0, 7, 1, 9, 1, 1, 7, 1, 4, 6, 7, 0, 0, 6, 3, 12, 6, 10, 4, 0, 7, 10, 9 ], "type_text": [ "Theft", "Battery", "Criminal Damage", "Motor Vehicle Theft", "Battery", "Battery", "Theft", "Motor Vehicle Theft", "Assault", "Other Offense", "Battery", "Theft", "Deceptive Practice", "Battery", "Criminal Damage", "Battery", "Criminal Damage", "Battery", "Other Offense", "Other Offense", "Battery", "Criminal Damage", "Battery", "Criminal Damage", "Theft", "Battery", "Battery", "Assault", "Motor Vehicle Theft", "Criminal Damage", "Burglary", "Motor Vehicle Theft", "Motor Vehicle Theft", "Criminal Damage", "Motor Vehicle Theft", "Deceptive Practice", "Assault", "Assault", "Criminal Damage", "Robbery", "Battery", "Battery", "Theft", "Other Offense", "Motor Vehicle Theft", "Battery", "Assault", "Theft", "Other Offense", "Assault", "Battery", "Assault", "Battery", "Battery", "Criminal Damage", "Criminal Damage", "Assault", "Battery", "Theft", "Battery", "Weapons Violation", "Assault", "Weapons Violation", "Weapons Violation", "Battery", "Weapons Violation", "Motor Vehicle Theft", "Criminal Damage", "Battery", "Theft", "Theft", "Criminal Damage", "Deceptive Practice", "Arson", "Criminal Damage", "Burglary", "Motor Vehicle Theft", "Theft", "Battery", "Burglary", "Assault" ], "description": "The sequence of crime incidents shows a notable clustering of battery incidents, particularly in the earlier months, with multiple occurrences within short time frames. Theft incidents are also prevalent, appearing throughout the timeline but with a slight increase in frequency during the later months. Motor vehicle thefts occur sporadically, with several incidents concentrated in the middle to later periods. Criminal damage incidents are consistently reported across the timeline, often following or preceding battery incidents. Assaults appear intermittently, with a noticeable rise in frequency in the latter part of the sequence." }, { "dim_process": 20, "seq_idx": 347, "seq_len": 47, "time_since_start": [ 0.0, 0.21828703703703703, 1.098425925925926, 1.1311342592592593, 1.4597222222222221, 1.5418981481481482, 1.805787037037037, 3.343287037037037, 3.6863425925925926, 3.702939814814815, 4.016898148148148, 4.715509259259259, 4.895717592592592, 5.30787037037037, 5.691898148148148, 5.694907407407407, 5.891365740740741, 5.963888888888889, 6.1648148148148145, 6.176620370370371, 7.683564814814815, 8.000231481481482, 9.298819444444444, 9.493287037037037, 10.283333333333333, 10.525231481481482, 10.94513888888889, 12.64398148148148, 12.821666666666667, 12.844212962962963, 14.10162037037037, 15.177314814814816, 15.364444444444445, 15.622106481481481, 17.097453703703703, 17.174537037037037, 17.673842592592592, 18.473842592592593, 18.630787037037038, 19.043310185185184, 19.641898148148147, 19.941203703703703, 20.780787037037037, 21.244675925925925, 21.255046296296296, 22.31238425925926, 22.37523148148148 ], "time_since_last_event": [ 0.0, 0.21828703703703703, 0.8801388888888889, 0.03270833333333333, 0.32858796296296294, 0.08217592592592593, 0.2638888888888889, 1.5375, 0.34305555555555556, 0.01659722222222222, 0.31395833333333334, 0.6986111111111111, 0.18020833333333333, 0.41215277777777776, 0.3840277777777778, 0.0030092592592592593, 0.19645833333333335, 0.07252314814814814, 0.20092592592592592, 0.011805555555555555, 1.5069444444444444, 0.31666666666666665, 1.2985879629629629, 0.19446759259259258, 0.7900462962962963, 0.24189814814814814, 0.4199074074074074, 1.6988425925925925, 0.1776851851851852, 0.022546296296296297, 1.2574074074074073, 1.0756944444444445, 0.18712962962962962, 0.25766203703703705, 1.4753472222222221, 0.07708333333333334, 0.49930555555555556, 0.8, 0.15694444444444444, 0.41252314814814817, 0.598587962962963, 0.29930555555555555, 0.8395833333333333, 0.4638888888888889, 0.01037037037037037, 1.057337962962963, 0.06284722222222222 ], "type_event": [ 0, 0, 0, 0, 3, 0, 0, 0, 10, 0, 0, 6, 6, 9, 6, 6, 9, 6, 0, 0, 0, 4, 7, 11, 11, 0, 11, 4, 7, 0, 9, 7, 7, 4, 11, 6, 7, 0, 0, 6, 11, 11, 4, 9, 0, 0, 7 ], "type_text": [ "Theft", "Theft", "Theft", "Theft", "Deceptive Practice", "Theft", "Theft", "Theft", "Burglary", "Theft", "Theft", "Criminal Damage", "Criminal Damage", "Assault", "Criminal Damage", "Criminal Damage", "Assault", "Criminal Damage", "Theft", "Theft", "Theft", "Motor Vehicle Theft", "Battery", "Robbery", "Robbery", "Theft", "Robbery", "Motor Vehicle Theft", "Battery", "Theft", "Assault", "Battery", "Battery", "Motor Vehicle Theft", "Robbery", "Criminal Damage", "Battery", "Theft", "Theft", "Criminal Damage", "Robbery", "Robbery", "Motor Vehicle Theft", "Assault", "Theft", "Theft", "Battery" ], "description": "The sequence of crime incidents begins with a predominance of thefts occurring in the initial months, followed by a gradual introduction of other crime types such as deceptive practices and burglaries. As time progresses, there is a noticeable increase in incidents of criminal damage and assaults, particularly around the mid-point of the timeline. Later months see a rise in violent crimes, including multiple instances of robbery and battery, alongside continued occurrences of theft and motor vehicle theft. Overall, theft remains a consistent crime type throughout, while other crimes tend to cluster in the latter half of the timeline." }, { "dim_process": 20, "seq_idx": 348, "seq_len": 42, "time_since_start": [ 0.0, 0.9319444444444445, 1.8472222222222223, 2.3131944444444446, 3.501574074074074, 6.2444444444444445, 7.356944444444444, 7.444282407407408, 7.962152777777778, 8.108333333333333, 8.11736111111111, 8.26388888888889, 10.990277777777777, 12.344444444444445, 12.982175925925926, 13.005555555555556, 13.154166666666667, 13.519791666666666, 14.025, 14.027777777777779, 14.166666666666666, 14.91173611111111, 15.104166666666666, 15.166435185185184, 15.204166666666667, 15.934027777777779, 15.98773148148148, 16.44611111111111, 17.52974537037037, 17.531944444444445, 17.579166666666666, 18.8375, 18.918310185185184, 19.125416666666666, 20.204398148148147, 20.466666666666665, 21.777546296296297, 22.273611111111112, 22.32847222222222, 22.72474537037037, 23.147060185185186, 23.19090277777778 ], "time_since_last_event": [ 0.0, 0.9319444444444445, 0.9152777777777777, 0.46597222222222223, 1.1883796296296296, 2.7428703703703703, 1.1125, 0.08733796296296296, 0.5178703703703704, 0.14618055555555556, 0.009027777777777777, 0.14652777777777778, 2.7263888888888888, 1.3541666666666667, 0.6377314814814815, 0.02337962962962963, 0.1486111111111111, 0.365625, 0.5052083333333334, 0.002777777777777778, 0.1388888888888889, 0.7450694444444445, 0.19243055555555555, 0.06226851851851852, 0.037731481481481484, 0.7298611111111111, 0.053703703703703705, 0.45837962962962964, 1.0836342592592592, 0.002199074074074074, 0.04722222222222222, 1.2583333333333333, 0.08081018518518518, 0.20710648148148147, 1.0789814814814815, 0.2622685185185185, 1.3108796296296297, 0.4960648148148148, 0.05486111111111111, 0.3962731481481481, 0.4223148148148148, 0.04384259259259259 ], "type_event": [ 2, 0, 4, 7, 1, 14, 7, 7, 0, 6, 0, 6, 4, 7, 7, 4, 0, 5, 7, 7, 9, 10, 6, 1, 4, 9, 6, 7, 7, 7, 0, 6, 7, 7, 7, 3, 0, 4, 7, 7, 7, 0 ], "type_text": [ "Sex Offense", "Theft", "Motor Vehicle Theft", "Battery", "Weapons Violation", "Criminal Sexual Assault", "Battery", "Battery", "Theft", "Criminal Damage", "Theft", "Criminal Damage", "Motor Vehicle Theft", "Battery", "Battery", "Motor Vehicle Theft", "Theft", "Criminal Trespass", "Battery", "Battery", "Assault", "Burglary", "Criminal Damage", "Weapons Violation", "Motor Vehicle Theft", "Assault", "Criminal Damage", "Battery", "Battery", "Battery", "Theft", "Criminal Damage", "Battery", "Battery", "Battery", "Deceptive Practice", "Theft", "Motor Vehicle Theft", "Battery", "Battery", "Battery", "Theft" ], "description": "The sequence of crime incidents in Chicago begins with a sex offense followed by theft and motor vehicle theft within the first few months. As time progresses, there is a notable increase in battery incidents, particularly clustered around the 7 to 20-month mark. The frequency of theft and motor vehicle theft also appears to rise, with several occurrences noted towards the latter part of the timeline. Additionally, criminal damage incidents are spread throughout, with some clustering observed around the 15 to 19-month period. Overall, battery-related crimes dominate the middle of the timeline, while theft and motor vehicle theft incidents are more prevalent in the earlier and later months." }, { "dim_process": 20, "seq_idx": 349, "seq_len": 44, "time_since_start": [ 0.0, 0.09918981481481481, 0.09953703703703703, 0.09972222222222223, 3.6262731481481483, 3.6366666666666667, 5.038611111111111, 5.72974537037037, 5.804236111111111, 6.435949074074074, 6.914467592592593, 8.77361111111111, 9.676967592592593, 9.710300925925926, 10.016203703703704, 10.202824074074075, 10.418356481481482, 10.559837962962963, 11.139097222222222, 11.666203703703705, 11.746064814814815, 12.560300925925926, 13.713773148148148, 13.892986111111112, 13.90613425925926, 13.971412037037037, 14.788935185185185, 14.804050925925926, 15.200578703703703, 15.399652777777778, 15.947430555555556, 16.419097222222224, 16.832175925925927, 17.20289351851852, 17.211921296296296, 17.21375, 18.331319444444443, 18.331319444444443, 18.335532407407406, 19.320833333333333, 19.563078703703702, 21.35451388888889, 21.71925925925926, 23.017939814814813 ], "time_since_last_event": [ 0.0, 0.09918981481481481, 0.00034722222222222224, 0.00018518518518518518, 3.526550925925926, 0.010393518518518519, 1.4019444444444444, 0.6911342592592593, 0.07449074074074075, 0.631712962962963, 0.4785185185185185, 1.8591435185185186, 0.9033564814814815, 0.03333333333333333, 0.3059027777777778, 0.18662037037037038, 0.2155324074074074, 0.14148148148148149, 0.5792592592592593, 0.5271064814814815, 0.0798611111111111, 0.8142361111111112, 1.1534722222222222, 0.17921296296296296, 0.013148148148148148, 0.06527777777777778, 0.8175231481481482, 0.01511574074074074, 0.39652777777777776, 0.19907407407407407, 0.5477777777777778, 0.4716666666666667, 0.4130787037037037, 0.37071759259259257, 0.009027777777777777, 0.0018287037037037037, 1.1175694444444444, 0.0, 0.004212962962962963, 0.9853009259259259, 0.24224537037037036, 1.791435185185185, 0.36474537037037036, 1.2986805555555556 ], "type_event": [ 3, 7, 9, 9, 0, 5, 7, 10, 3, 8, 9, 7, 4, 4, 9, 7, 1, 4, 0, 4, 11, 3, 7, 7, 9, 6, 1, 7, 11, 9, 7, 6, 6, 0, 9, 7, 6, 0, 7, 6, 5, 7, 8, 4 ], "type_text": [ "Deceptive Practice", "Battery", "Assault", "Assault", "Theft", "Criminal Trespass", "Battery", "Burglary", "Deceptive Practice", "Other Offense", "Assault", "Battery", "Motor Vehicle Theft", "Motor Vehicle Theft", "Assault", "Battery", "Weapons Violation", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Robbery", "Deceptive Practice", "Battery", "Battery", "Assault", "Criminal Damage", "Weapons Violation", "Battery", "Robbery", "Assault", "Battery", "Criminal Damage", "Criminal Damage", "Theft", "Assault", "Battery", "Criminal Damage", "Theft", "Battery", "Criminal Damage", "Criminal Trespass", "Battery", "Other Offense", "Motor Vehicle Theft" ], "description": "The sequence of crime incidents begins with deceptive practices, battery, and assault occurring within the first month, indicating a cluster of violent and deceptive offenses early on. As time progresses, theft and criminal trespass incidents emerge around the three to six-month mark, followed by a mix of batteries, assaults, and other offenses. A notable increase in motor vehicle thefts appears later in the timeline, particularly around the nine to eleven-month period, alongside a rise in robberies and criminal damage incidents. Overall, there is a pattern of violent crimes occurring earlier, while property crimes, particularly motor vehicle thefts, tend to cluster in the latter part of the timeline." }, { "dim_process": 20, "seq_idx": 350, "seq_len": 74, "time_since_start": [ 0.0, 0.6907407407407408, 1.1923611111111112, 1.4907407407407407, 1.7852314814814816, 1.8090277777777777, 2.062384259259259, 2.584722222222222, 2.637638888888889, 2.8208333333333333, 3.182523148148148, 3.2180555555555554, 3.8100694444444443, 3.9672222222222224, 4.1097222222222225, 4.46412037037037, 4.477916666666666, 4.833333333333333, 5.0018518518518515, 5.455555555555556, 5.498680555555556, 5.829861111111111, 5.881944444444445, 6.089074074074074, 6.251273148148148, 6.362777777777778, 6.759722222222222, 6.847222222222222, 6.855555555555555, 7.336111111111111, 7.368217592592592, 7.390046296296297, 8.893055555555556, 9.273032407407408, 9.316666666666666, 9.770138888888889, 10.432407407407407, 10.725532407407407, 10.730902777777779, 10.755092592592593, 10.83335648148148, 11.759375, 11.80162037037037, 12.059166666666666, 12.456365740740742, 12.679768518518518, 12.716435185185185, 12.855555555555556, 12.861087962962962, 13.52050925925926, 13.827314814814814, 14.101851851851851, 14.209722222222222, 14.21111111111111, 14.253472222222221, 14.286111111111111, 15.718055555555555, 16.400694444444444, 16.499305555555555, 16.55, 16.63199074074074, 16.815046296296295, 17.523611111111112, 18.561805555555555, 18.604606481481483, 19.1625, 19.540046296296296, 20.4, 21.399745370370372, 22.200046296296296, 22.258564814814815, 22.486666666666668, 22.563472222222224, 24.056944444444444 ], "time_since_last_event": [ 0.0, 0.6907407407407408, 0.5016203703703703, 0.2983796296296296, 0.2944907407407407, 0.023796296296296298, 0.2533564814814815, 0.522337962962963, 0.05291666666666667, 0.18319444444444444, 0.3616898148148148, 0.03553240740740741, 0.5920138888888888, 0.15715277777777778, 0.1425, 0.35439814814814813, 0.013796296296296296, 0.35541666666666666, 0.1685185185185185, 0.4537037037037037, 0.043125, 0.33118055555555553, 0.052083333333333336, 0.20712962962962964, 0.16219907407407408, 0.11150462962962963, 0.39694444444444443, 0.0875, 0.008333333333333333, 0.48055555555555557, 0.03210648148148148, 0.021828703703703704, 1.5030092592592592, 0.37997685185185187, 0.04363425925925926, 0.4534722222222222, 0.6622685185185185, 0.293125, 0.00537037037037037, 0.024189814814814813, 0.07826388888888888, 0.9260185185185185, 0.04224537037037037, 0.2575462962962963, 0.39719907407407407, 0.22340277777777778, 0.03666666666666667, 0.13912037037037037, 0.005532407407407408, 0.6594212962962963, 0.30680555555555555, 0.274537037037037, 0.10787037037037037, 0.001388888888888889, 0.04236111111111111, 0.03263888888888889, 1.4319444444444445, 0.6826388888888889, 0.09861111111111111, 0.050694444444444445, 0.08199074074074074, 0.18305555555555555, 0.7085648148148148, 1.0381944444444444, 0.04280092592592592, 0.5578935185185185, 0.37754629629629627, 0.8599537037037037, 0.9997453703703704, 0.8003009259259259, 0.05851851851851852, 0.22810185185185186, 0.07680555555555556, 1.4934722222222223 ], "type_event": [ 7, 9, 9, 9, 7, 4, 9, 18, 8, 3, 9, 3, 3, 7, 4, 9, 8, 13, 7, 8, 16, 0, 4, 7, 6, 11, 9, 9, 6, 7, 6, 9, 13, 1, 7, 4, 0, 6, 8, 6, 4, 9, 9, 6, 8, 6, 10, 8, 8, 6, 7, 6, 0, 7, 6, 8, 7, 11, 11, 7, 9, 0, 7, 10, 9, 10, 4, 8, 7, 9, 7, 15, 9, 0 ], "type_text": [ "Battery", "Assault", "Assault", "Assault", "Battery", "Motor Vehicle Theft", "Assault", "Public Peace Violation", "Other Offense", "Deceptive Practice", "Assault", "Deceptive Practice", "Deceptive Practice", "Battery", "Motor Vehicle Theft", "Assault", "Other Offense", "Offense Involving Children", "Battery", "Other Offense", "Narcotics", "Theft", "Motor Vehicle Theft", "Battery", "Criminal Damage", "Robbery", "Assault", "Assault", "Criminal Damage", "Battery", "Criminal Damage", "Assault", "Offense Involving Children", "Weapons Violation", "Battery", "Motor Vehicle Theft", "Theft", "Criminal Damage", "Other Offense", "Criminal Damage", "Motor Vehicle Theft", "Assault", "Assault", "Criminal Damage", "Other Offense", "Criminal Damage", "Burglary", "Other Offense", "Other Offense", "Criminal Damage", "Battery", "Criminal Damage", "Theft", "Battery", "Criminal Damage", "Other Offense", "Battery", "Robbery", "Robbery", "Battery", "Assault", "Theft", "Battery", "Burglary", "Assault", "Burglary", "Motor Vehicle Theft", "Other Offense", "Battery", "Assault", "Battery", "Interference With Public Officer", "Assault", "Theft" ], "description": "The sequence of crime incidents shows a diverse range of offenses occurring over time, with a notable clustering of assaults and batteries in the early months. Assaults appear frequently in the first half of the timeline, while motor vehicle thefts and other offenses begin to emerge later. There is a gradual increase in the variety of crime types as the timeline progresses, with significant occurrences of criminal damage and theft in the latter months. Overall, the data reflects a trend of increasing complexity in the types of offenses reported as time advances." }, { "dim_process": 20, "seq_idx": 351, "seq_len": 97, "time_since_start": [ 0.0, 0.44104166666666667, 0.5909722222222222, 0.6280324074074074, 0.7949074074074074, 0.9629398148148148, 1.0335648148148149, 1.5106018518518518, 1.6010416666666667, 1.6076388888888888, 1.8207175925925927, 2.557638888888889, 2.560185185185185, 2.6252314814814817, 2.8001851851851853, 3.2291666666666665, 3.2310185185185185, 3.5028935185185186, 3.5631944444444446, 3.5756944444444443, 3.8118055555555554, 3.8895833333333334, 3.895046296296296, 3.9071759259259258, 3.95525462962963, 3.9832175925925926, 4.027546296296296, 5.388194444444444, 5.445138888888889, 5.572222222222222, 5.6409722222222225, 6.323842592592593, 6.415972222222222, 7.190972222222222, 7.538194444444445, 7.630115740740741, 8.426851851851852, 8.743055555555555, 9.278472222222222, 9.434375, 9.504907407407407, 10.199560185185184, 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], "type_event": [ 0, 9, 0, 8, 4, 1, 8, 11, 9, 6, 11, 4, 8, 7, 0, 8, 13, 0, 0, 6, 13, 2, 0, 8, 7, 11, 7, 6, 10, 7, 4, 7, 10, 9, 0, 6, 11, 5, 9, 9, 11, 8, 16, 6, 7, 7, 5, 3, 7, 7, 7, 0, 9, 8, 6, 8, 18, 0, 4, 0, 15, 7, 8, 4, 4, 7, 7, 3, 7, 7, 0, 9, 13, 4, 7, 5, 3, 8, 9, 2, 0, 0, 3, 10, 0, 9, 8, 13, 7, 11, 9, 4, 6, 0, 6, 7, 5 ], "type_text": [ "Theft", "Assault", "Theft", "Other Offense", "Motor Vehicle Theft", "Weapons Violation", "Other Offense", "Robbery", "Assault", "Criminal Damage", "Robbery", "Motor Vehicle Theft", "Other Offense", "Battery", "Theft", "Other Offense", "Offense Involving Children", "Theft", "Theft", "Criminal Damage", "Offense Involving Children", "Sex Offense", "Theft", "Other Offense", "Battery", "Robbery", "Battery", "Criminal Damage", "Burglary", "Battery", "Motor Vehicle Theft", "Battery", "Burglary", "Assault", "Theft", "Criminal Damage", "Robbery", "Criminal Trespass", "Assault", "Assault", "Robbery", "Other Offense", "Narcotics", "Criminal Damage", "Battery", "Battery", "Criminal Trespass", "Deceptive Practice", "Battery", "Battery", "Battery", "Theft", "Assault", "Other Offense", "Criminal Damage", "Other Offense", "Public Peace Violation", "Theft", "Motor Vehicle Theft", "Theft", "Interference With Public Officer", "Battery", "Other Offense", "Motor Vehicle Theft", "Motor Vehicle Theft", "Battery", "Battery", "Deceptive Practice", "Battery", "Battery", "Theft", "Assault", "Offense Involving Children", "Motor Vehicle Theft", "Battery", "Criminal Trespass", "Deceptive Practice", "Other Offense", "Assault", "Sex Offense", "Theft", "Theft", "Deceptive Practice", "Burglary", "Theft", "Assault", "Other Offense", "Offense Involving Children", "Battery", "Robbery", "Assault", "Motor Vehicle Theft", "Criminal Damage", "Theft", "Criminal Damage", "Battery", "Criminal Trespass" ], "description": "The sequence of crime incidents in Chicago shows a diverse range of offenses occurring over time, with notable clustering of certain types. Thefts are frequent throughout the timeline, appearing early and continuing to occur at various intervals, often alongside other offenses. Assaults and batteries also appear regularly, particularly in the middle to later stages of the timeline, indicating a trend of violent incidents. Additionally, motor vehicle thefts and other offenses are prevalent, with some events occurring in close succession, suggesting periods of heightened criminal activity. Overall, the data reflects a mix of property crimes and violent offenses, with certain types like theft and assault appearing more consistently over the months." }, { "dim_process": 20, "seq_idx": 352, "seq_len": 33, "time_since_start": [ 0.0, 0.08856481481481482, 0.32488425925925923, 0.6333564814814815, 1.5778703703703705, 1.5875925925925927, 2.997777777777778, 3.698703703703704, 5.304791666666667, 6.202060185185185, 6.862592592592593, 7.685509259259259, 7.834884259259259, 8.968194444444444, 10.019537037037036, 10.662592592592592, 11.382337962962962, 12.822314814814815, 13.045578703703704, 13.32162037037037, 13.889675925925927, 14.10287037037037, 14.661435185185185, 15.206458333333334, 15.357685185185185, 15.85113425925926, 16.884120370370372, 17.14175925925926, 18.136203703703703, 18.93125, 20.06863425925926, 20.10773148148148, 20.108425925925925 ], "time_since_last_event": [ 0.0, 0.08856481481481482, 0.23631944444444444, 0.3084722222222222, 0.9445138888888889, 0.009722222222222222, 1.4101851851851852, 0.700925925925926, 1.606087962962963, 0.8972685185185185, 0.6605324074074074, 0.8229166666666666, 0.149375, 1.1333101851851852, 1.0513425925925926, 0.6430555555555556, 0.7197453703703703, 1.4399768518518519, 0.2232638888888889, 0.2760416666666667, 0.5680555555555555, 0.21319444444444444, 0.5585648148148148, 0.5450231481481481, 0.15122685185185186, 0.49344907407407407, 1.0329861111111112, 0.25763888888888886, 0.9944444444444445, 0.7950462962962963, 1.1373842592592593, 0.03909722222222222, 0.0006944444444444445 ], "type_event": [ 6, 7, 3, 7, 8, 3, 0, 4, 1, 8, 3, 0, 11, 9, 6, 4, 9, 9, 7, 6, 9, 8, 9, 1, 7, 7, 0, 11, 10, 8, 9, 6, 6 ], "type_text": [ "Criminal Damage", "Battery", "Deceptive Practice", "Battery", "Other Offense", "Deceptive Practice", "Theft", "Motor Vehicle Theft", "Weapons Violation", "Other Offense", "Deceptive Practice", "Theft", "Robbery", "Assault", "Criminal Damage", "Motor Vehicle Theft", "Assault", "Assault", "Battery", "Criminal Damage", "Assault", "Other Offense", "Assault", "Weapons Violation", "Battery", "Battery", "Theft", "Robbery", "Burglary", "Other Offense", "Assault", "Criminal Damage", "Criminal Damage" ], "description": "The sequence of crime incidents shows a variety of offense types occurring over time, with certain patterns in their timing. Initially, incidents like Criminal Damage and Battery appear early in the timeline, followed by Deceptive Practices and Theft as the sequence progresses. A notable clustering of Assault incidents occurs in the latter part of the timeline, particularly around the 11 to 20-month mark, while Weapons Violations and Robberies also emerge later in the sequence. Overall, there is a mix of offense types throughout the timeline, with some events, such as Criminal Damage and Assault, recurring multiple times." }, { "dim_process": 20, "seq_idx": 353, "seq_len": 57, "time_since_start": [ 0.0, 0.3101157407407407, 0.9365509259259259, 1.0615046296296295, 1.3299537037037037, 1.3309953703703703, 2.3421064814814816, 2.4657175925925925, 3.2377083333333334, 4.3704629629629625, 4.544884259259259, 4.576134259259259, 4.84712962962963, 5.072662037037037, 5.157662037037037, 5.338263888888889, 5.444907407407407, 5.803217592592593, 5.878217592592593, 6.210162037037037, 6.722662037037037, 7.544884259259259, 8.09349537037037, 9.015, 9.650787037037038, 9.86923611111111, 10.663518518518519, 10.844375, 11.703217592592592, 12.021273148148149, 12.20587962962963, 12.20587962962963, 12.640254629629629, 13.044097222222222, 13.047662037037037, 13.182847222222222, 13.203912037037037, 13.50361111111111, 13.728055555555555, 13.96849537037037, 14.058703703703705, 14.914328703703704, 15.277175925925926, 15.34349537037037, 17.077291666666667, 17.747824074074074, 18.237939814814816, 18.361319444444444, 18.393402777777776, 18.44247685185185, 19.099976851851853, 19.393819444444443, 20.92539351851852, 21.493171296296296, 21.529907407407407, 23.480532407407406, 23.600439814814816 ], "time_since_last_event": [ 0.0, 0.3101157407407407, 0.6264351851851852, 0.1249537037037037, 0.2684490740740741, 0.0010416666666666667, 1.011111111111111, 0.12361111111111112, 0.7719907407407407, 1.1327546296296296, 0.1744212962962963, 0.03125, 0.27099537037037036, 0.2255324074074074, 0.085, 0.18060185185185185, 0.10664351851851851, 0.3583101851851852, 0.075, 0.33194444444444443, 0.5125, 0.8222222222222222, 0.5486111111111112, 0.9215046296296296, 0.635787037037037, 0.21844907407407407, 0.7942824074074074, 0.18085648148148148, 0.8588425925925925, 0.31805555555555554, 0.18460648148148148, 0.0, 0.434375, 0.4038425925925926, 0.003564814814814815, 0.13518518518518519, 0.021064814814814814, 0.2996990740740741, 0.22444444444444445, 0.24043981481481483, 0.09020833333333333, 0.855625, 0.3628472222222222, 0.06631944444444444, 1.7337962962962963, 0.6705324074074074, 0.49011574074074077, 0.12337962962962963, 0.03208333333333333, 0.049074074074074076, 0.6575, 0.2938425925925926, 1.531574074074074, 0.5677777777777778, 0.03673611111111111, 1.950625, 0.11990740740740741 ], "type_event": [ 1, 1, 9, 7, 9, 7, 9, 7, 6, 3, 0, 7, 9, 6, 3, 1, 14, 0, 8, 0, 3, 6, 0, 7, 7, 9, 9, 7, 4, 0, 7, 6, 7, 9, 0, 7, 9, 6, 7, 0, 1, 7, 7, 4, 6, 6, 4, 7, 7, 6, 9, 7, 8, 9, 9, 9, 8 ], "type_text": [ "Weapons Violation", "Weapons Violation", "Assault", "Battery", "Assault", "Battery", "Assault", "Battery", "Criminal Damage", "Deceptive Practice", "Theft", "Battery", "Assault", "Criminal Damage", "Deceptive Practice", "Weapons Violation", "Criminal Sexual Assault", "Theft", "Other Offense", "Theft", "Deceptive Practice", "Criminal Damage", "Theft", "Battery", "Battery", "Assault", "Assault", "Battery", "Motor Vehicle Theft", "Theft", "Battery", "Criminal Damage", "Battery", "Assault", "Theft", "Battery", "Assault", "Criminal Damage", "Battery", "Theft", "Weapons Violation", "Battery", "Battery", "Motor Vehicle Theft", "Criminal Damage", "Criminal Damage", "Motor Vehicle Theft", "Battery", "Battery", "Criminal Damage", "Assault", "Battery", "Other Offense", "Assault", "Assault", "Assault", "Other Offense" ], "description": "The sequence of crime incidents begins with a series of weapons violations and assaults occurring in the early months, followed by a mix of battery and criminal damage incidents. As time progresses, theft and deceptive practices emerge more prominently, particularly in the mid to later months. There is a noticeable clustering of assault and battery incidents throughout the timeline, especially in the later months, alongside recurring criminal damage events. The sequence concludes with a mix of assaults and other offenses, indicating ongoing criminal activity as time advances." }, { "dim_process": 20, "seq_idx": 354, "seq_len": 36, "time_since_start": [ 0.0, 0.05043981481481481, 0.1057638888888889, 0.5032175925925926, 0.5047916666666666, 4.323425925925926, 4.654606481481482, 5.251828703703704, 6.6002777777777775, 6.978217592592593, 8.004953703703704, 8.60599537037037, 9.872662037037037, 10.762430555555556, 11.203495370370371, 11.424050925925926, 11.865717592592592, 11.974722222222223, 12.497106481481481, 12.527199074074074, 13.197199074074074, 13.705300925925926, 14.139328703703704, 15.183680555555556, 17.70599537037037, 17.99627314814815, 18.76710648148148, 19.492106481481482, 19.668842592592593, 19.886550925925928, 21.36988425925926, 22.258773148148148, 22.375439814814815, 22.87266203703704, 23.24337962962963, 23.304560185185185 ], "time_since_last_event": [ 0.0, 0.05043981481481481, 0.055324074074074074, 0.3974537037037037, 0.001574074074074074, 3.8186342592592593, 0.33118055555555553, 0.5972222222222222, 1.348449074074074, 0.3779398148148148, 1.026736111111111, 0.6010416666666667, 1.2666666666666666, 0.8897685185185186, 0.4410648148148148, 0.22055555555555556, 0.44166666666666665, 0.10900462962962963, 0.5223842592592592, 0.03009259259259259, 0.67, 0.5081018518518519, 0.4340277777777778, 1.0443518518518518, 2.522314814814815, 0.2902777777777778, 0.7708333333333334, 0.725, 0.17673611111111112, 0.21770833333333334, 1.4833333333333334, 0.8888888888888888, 0.11666666666666667, 0.49722222222222223, 0.37071759259259257, 0.06118055555555556 ], "type_event": [ 7, 8, 7, 0, 6, 9, 0, 6, 7, 0, 7, 11, 4, 9, 8, 0, 4, 3, 6, 6, 7, 7, 3, 0, 8, 4, 11, 18, 11, 3, 9, 0, 0, 8, 0, 1 ], "type_text": [ "Battery", "Other Offense", "Battery", "Theft", "Criminal Damage", "Assault", "Theft", "Criminal Damage", "Battery", "Theft", "Battery", "Robbery", "Motor Vehicle Theft", "Assault", "Other Offense", "Theft", "Motor Vehicle Theft", "Deceptive Practice", "Criminal Damage", "Criminal Damage", "Battery", "Battery", "Deceptive Practice", "Theft", "Other Offense", "Motor Vehicle Theft", "Robbery", "Public Peace Violation", "Robbery", "Deceptive Practice", "Assault", "Theft", "Theft", "Other Offense", "Theft", "Weapons Violation" ], "description": "The sequence of crime incidents shows a variety of offenses occurring over time, with certain types clustering at different intervals. Initially, battery and other offenses are reported within the first few months, followed by a mix of theft and criminal damage incidents occurring around the six-month mark. As the timeline progresses, there is an increase in the frequency of thefts and robberies, particularly noted in the later months. Additionally, incidents of motor vehicle theft appear towards the latter part of the sequence, alongside a resurgence of assaults and other offenses. Overall, the data indicates a trend of escalating crime types, with certain offenses becoming more prevalent as time advances." }, { "dim_process": 20, "seq_idx": 355, "seq_len": 42, "time_since_start": [ 0.0, 0.03148148148148148, 0.10342592592592592, 0.125, 0.7201388888888889, 0.7670138888888889, 0.768287037037037, 0.7972222222222223, 2.074537037037037, 2.4141203703703704, 3.1041666666666665, 3.755787037037037, 4.324305555555555, 4.463449074074074, 4.495092592592592, 5.120833333333334, 5.59525462962963, 6.298032407407407, 6.323263888888889, 7.176851851851852, 8.172222222222222, 8.821527777777778, 9.272916666666667, 10.177476851851852, 10.535416666666666, 11.194444444444445, 12.421527777777778, 13.547546296296296, 13.790277777777778, 14.919722222222223, 15.794560185185185, 15.905555555555555, 16.197222222222223, 16.215972222222224, 16.610115740740742, 16.73784722222222, 16.81076388888889, 17.59259259259259, 18.331944444444446, 20.15972222222222, 22.969143518518518, 23.522916666666667 ], "time_since_last_event": [ 0.0, 0.03148148148148148, 0.07194444444444445, 0.021574074074074075, 0.5951388888888889, 0.046875, 0.0012731481481481483, 0.028935185185185185, 1.2773148148148148, 0.33958333333333335, 0.6900462962962963, 0.6516203703703703, 0.5685185185185185, 0.13914351851851853, 0.031643518518518515, 0.6257407407407407, 0.4744212962962963, 0.7027777777777777, 0.025231481481481483, 0.8535879629629629, 0.9953703703703703, 0.6493055555555556, 0.4513888888888889, 0.9045601851851852, 0.3579398148148148, 0.6590277777777778, 1.2270833333333333, 1.1260185185185185, 0.2427314814814815, 1.1294444444444445, 0.874837962962963, 0.11099537037037037, 0.2916666666666667, 0.01875, 0.39414351851851853, 0.12773148148148147, 0.07291666666666667, 0.7818287037037037, 0.7393518518518518, 1.8277777777777777, 2.8094212962962963, 0.5537731481481482 ], "type_event": [ 9, 3, 0, 0, 7, 0, 0, 6, 10, 6, 4, 7, 8, 15, 8, 0, 7, 8, 7, 7, 11, 7, 6, 9, 10, 11, 7, 0, 3, 9, 9, 4, 7, 11, 7, 9, 10, 8, 6, 4, 11, 11 ], "type_text": [ "Assault", "Deceptive Practice", "Theft", "Theft", "Battery", "Theft", "Theft", "Criminal Damage", "Burglary", "Criminal Damage", "Motor Vehicle Theft", "Battery", "Other Offense", "Interference With Public Officer", "Other Offense", "Theft", "Battery", "Other Offense", "Battery", "Battery", "Robbery", "Battery", "Criminal Damage", "Assault", "Burglary", "Robbery", "Battery", "Theft", "Deceptive Practice", "Assault", "Assault", "Motor Vehicle Theft", "Battery", "Robbery", "Battery", "Assault", "Burglary", "Other Offense", "Criminal Damage", "Motor Vehicle Theft", "Robbery", "Robbery" ], "description": "The sequence of crime incidents shows a variety of crime types occurring over a span of time, with certain patterns emerging. Initially, assaults and thefts are reported closely together, followed by a period with multiple theft incidents clustered around the same timeframe. As time progresses, battery incidents become more frequent, particularly in the later months, along with a notable increase in robbery occurrences. Other offenses and criminal damage also appear at various intervals, suggesting a mix of crime types throughout the timeline, with a tendency for certain crimes to cluster in specific periods." }, { "dim_process": 20, "seq_idx": 356, "seq_len": 93, "time_since_start": [ 0.0, 0.8962037037037037, 1.1076620370370371, 1.1110185185185186, 1.1165740740740742, 1.4755555555555555, 1.6596296296296296, 1.8401851851851851, 3.7780324074074074, 3.897824074074074, 3.910324074074074, 4.265879629629629, 4.444351851851851, 4.7120601851851855, 4.798611111111111, 4.87074074074074, 5.113101851851852, 5.186018518518519, 5.545069444444445, 5.754768518518518, 5.931157407407407, 6.194351851851851, 6.404421296296296, 6.980462962962963, 7.108935185185185, 7.45962962962963, 8.113796296296297, 8.267962962962963, 8.501296296296296, 8.945046296296296, 9.219583333333333, 9.855925925925925, 9.873981481481481, 9.995740740740741, 10.120740740740741, 10.16101851851852, 10.166574074074074, 10.195509259259259, 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23.994930555555555, 24.036296296296296, 24.19446759259259, 24.196828703703705 ], "time_since_last_event": [ 0.0, 0.8962037037037037, 0.21145833333333333, 0.0033564814814814816, 0.005555555555555556, 0.35898148148148146, 0.18407407407407408, 0.18055555555555555, 1.9378472222222223, 0.11979166666666667, 0.0125, 0.35555555555555557, 0.17847222222222223, 0.2677083333333333, 0.08655092592592592, 0.07212962962962963, 0.2423611111111111, 0.07291666666666667, 0.3590509259259259, 0.20969907407407407, 0.1763888888888889, 0.26319444444444445, 0.21006944444444445, 0.5760416666666667, 0.1284722222222222, 0.3506944444444444, 0.6541666666666667, 0.15416666666666667, 0.23333333333333334, 0.44375, 0.274537037037037, 0.6363425925925926, 0.018055555555555554, 0.12175925925925926, 0.125, 0.04027777777777778, 0.005555555555555556, 0.028935185185185185, 0.08391203703703703, 0.5659722222222222, 0.01840277777777778, 0.4722222222222222, 0.022222222222222223, 0.17671296296296296, 0.5771759259259259, 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6, 4, 6, 0, 0, 7, 3, 0, 4, 9, 7, 14, 8, 8, 7, 9, 11, 0, 0, 4, 9, 4, 9, 4, 0, 7, 7, 7, 9, 11, 0, 0, 0, 11, 11, 4, 7, 7, 0, 7, 6, 0, 1, 4, 0, 7, 0, 11, 4, 7, 0, 6, 0, 3, 0, 14, 9, 11, 7, 6, 6, 6, 0, 7, 3, 0, 4, 5, 7, 14, 10, 11, 11, 9, 9, 4, 4, 15, 7, 0, 9, 7, 7, 11, 7, 8, 6, 8, 11 ], "type_text": [ "Battery", "Battery", "Assault", "Theft", "Criminal Damage", "Motor Vehicle Theft", "Criminal Damage", "Theft", "Theft", "Battery", "Deceptive Practice", "Theft", "Motor Vehicle Theft", "Assault", "Battery", "Criminal Sexual Assault", "Other Offense", "Other Offense", "Battery", "Assault", "Robbery", "Theft", "Theft", "Motor Vehicle Theft", "Assault", "Motor Vehicle Theft", "Assault", "Motor Vehicle Theft", "Theft", "Battery", "Battery", "Battery", "Assault", "Robbery", "Theft", "Theft", "Theft", "Robbery", "Robbery", "Motor Vehicle Theft", "Battery", "Battery", "Theft", "Battery", "Criminal Damage", "Theft", "Weapons Violation", "Motor Vehicle Theft", "Theft", "Battery", "Theft", "Robbery", "Motor Vehicle Theft", "Battery", "Theft", "Criminal Damage", "Theft", "Deceptive Practice", "Theft", "Criminal Sexual Assault", "Assault", "Robbery", "Battery", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Theft", "Battery", "Deceptive Practice", "Theft", "Motor Vehicle Theft", "Criminal Trespass", "Battery", "Criminal Sexual Assault", "Burglary", "Robbery", "Robbery", "Assault", "Assault", "Motor Vehicle Theft", "Motor Vehicle Theft", "Interference With Public Officer", "Battery", "Theft", "Assault", "Battery", "Battery", "Robbery", "Battery", "Other Offense", "Criminal Damage", "Other Offense", "Robbery" ], "description": "The sequence of crime incidents in the block shows a variety of crime types occurring over time, with notable clusters of certain offenses. Battery and theft incidents appear frequently throughout the timeline, with batteries often occurring in close succession. Assaults and motor vehicle thefts also emerge regularly, particularly in the later months, while robbery incidents tend to cluster towards the latter part of the timeline. Criminal damage and other offenses are interspersed throughout, indicating a diverse range of criminal activity at different intervals." }, { "dim_process": 20, "seq_idx": 357, "seq_len": 45, "time_since_start": [ 0.0, 0.30997685185185186, 0.7040277777777778, 1.8105092592592593, 2.2394444444444446, 2.6486111111111112, 2.9175694444444447, 4.4428935185185185, 4.672777777777778, 4.961203703703704, 5.005416666666667, 5.101944444444444, 5.52787037037037, 5.529027777777777, 5.595, 5.735625, 5.741041666666667, 6.1063425925925925, 6.174861111111111, 8.477638888888889, 9.003333333333334, 9.073819444444444, 10.185972222222222, 10.762361111111112, 10.933657407407408, 13.979027777777778, 14.678842592592593, 15.20425925925926, 17.01097222222222, 17.441990740740742, 18.251273148148147, 18.412476851851853, 18.65622685185185, 18.880972222222223, 19.330416666666668, 19.59537037037037, 19.956736111111113, 19.963055555555556, 20.176689814814814, 20.752083333333335, 21.439305555555556, 21.7825, 22.47738425925926, 22.770694444444445, 23.343958333333333 ], "time_since_last_event": [ 0.0, 0.30997685185185186, 0.39405092592592594, 1.1064814814814814, 0.4289351851851852, 0.4091666666666667, 0.26895833333333335, 1.525324074074074, 0.22988425925925926, 0.2884259259259259, 0.04421296296296296, 0.09652777777777778, 0.42592592592592593, 0.0011574074074074073, 0.06597222222222222, 0.140625, 0.005416666666666667, 0.36530092592592595, 0.06851851851851852, 2.3027777777777776, 0.5256944444444445, 0.07048611111111111, 1.1121527777777778, 0.5763888888888888, 0.1712962962962963, 3.0453703703703705, 0.6998148148148148, 0.5254166666666666, 1.806712962962963, 0.4310185185185185, 0.8092824074074074, 0.1612037037037037, 0.24375, 0.22474537037037037, 0.4494444444444444, 0.2649537037037037, 0.36136574074074074, 0.006319444444444444, 0.21363425925925925, 0.5753935185185185, 0.6872222222222222, 0.34319444444444447, 0.6948842592592592, 0.2933101851851852, 0.5732638888888889 ], "type_event": [ 7, 0, 7, 0, 7, 8, 11, 7, 0, 6, 3, 0, 9, 9, 7, 0, 7, 7, 4, 6, 11, 7, 10, 6, 0, 9, 9, 11, 7, 9, 6, 9, 11, 9, 8, 7, 7, 11, 9, 11, 9, 4, 19, 6, 8 ], "type_text": [ "Battery", "Theft", "Battery", "Theft", "Battery", "Other Offense", "Robbery", "Battery", "Theft", "Criminal Damage", "Deceptive Practice", "Theft", "Assault", "Assault", "Battery", "Theft", "Battery", "Battery", "Motor Vehicle Theft", "Criminal Damage", "Robbery", "Battery", "Burglary", "Criminal Damage", "Theft", "Assault", "Assault", "Robbery", "Battery", "Assault", "Criminal Damage", "Assault", "Robbery", "Assault", "Other Offense", "Battery", "Battery", "Robbery", "Assault", "Robbery", "Assault", "Motor Vehicle Theft", "Homicide", "Criminal Damage", "Other Offense" ], "description": "The sequence of crime incidents shows a pattern where battery and theft incidents occur frequently in the early months, with batteries appearing consistently throughout the timeline. As time progresses, there is a noticeable increase in the variety of crimes, including robberies and assaults, particularly around the 5 to 10-month mark. Criminal damage incidents appear intermittently, with a slight clustering observed in the later months. The sequence also highlights a significant rise in the occurrence of assaults and robberies in the latter part of the timeline, culminating in a homicide incident towards the end." }, { "dim_process": 20, "seq_idx": 358, "seq_len": 33, "time_since_start": [ 0.0, 3.295138888888889, 3.8671296296296296, 4.070601851851852, 4.153240740740741, 4.386574074074074, 5.201967592592593, 5.201967592592593, 5.989351851851852, 6.094212962962963, 6.260879629629629, 7.496712962962963, 7.786226851851852, 9.295925925925927, 9.551018518518518, 9.69976851851852, 10.387708333333334, 11.718518518518518, 12.685231481481482, 14.539050925925926, 14.593287037037037, 15.133217592592592, 15.556018518518519, 16.45824074074074, 16.59372685185185, 17.09050925925926, 17.84490740740741, 18.483796296296298, 19.326851851851853, 19.42662037037037, 19.529166666666665, 20.33564814814815, 20.422916666666666 ], "time_since_last_event": [ 0.0, 3.295138888888889, 0.5719907407407407, 0.20347222222222222, 0.08263888888888889, 0.23333333333333334, 0.8153935185185185, 0.0, 0.7873842592592593, 0.10486111111111111, 0.16666666666666666, 1.2358333333333333, 0.2895138888888889, 1.509699074074074, 0.2550925925925926, 0.14875, 0.6879398148148148, 1.3308101851851852, 0.9667129629629629, 1.8538194444444445, 0.05423611111111111, 0.5399305555555556, 0.42280092592592594, 0.9022222222222223, 0.1354861111111111, 0.4967824074074074, 0.7543981481481481, 0.6388888888888888, 0.8430555555555556, 0.09976851851851852, 0.1025462962962963, 0.8064814814814815, 0.08726851851851852 ], "type_event": [ 6, 1, 10, 7, 0, 3, 1, 6, 3, 0, 7, 8, 9, 7, 1, 4, 6, 6, 7, 6, 4, 9, 0, 0, 3, 9, 7, 0, 6, 6, 7, 7, 7 ], "type_text": [ "Criminal Damage", "Weapons Violation", "Burglary", "Battery", "Theft", "Deceptive Practice", "Weapons Violation", "Criminal Damage", "Deceptive Practice", "Theft", "Battery", "Other Offense", "Assault", "Battery", "Weapons Violation", "Motor Vehicle Theft", "Criminal Damage", "Criminal Damage", "Battery", "Criminal Damage", "Motor Vehicle Theft", "Assault", "Theft", "Theft", "Deceptive Practice", "Assault", "Battery", "Theft", "Criminal Damage", "Criminal Damage", "Battery", "Battery", "Battery" ], "description": "The sequence of crime incidents shows a variety of crime types occurring over time, with certain patterns emerging. Initially, incidents of Criminal Damage and Weapons Violations appear relatively early, followed by a mix of theft-related offenses and violent crimes such as Battery and Assault. As time progresses, Criminal Damage incidents become more frequent, particularly in the later months, while Theft also shows a notable presence. The clustering of Battery incidents towards the latter part of the sequence indicates a trend of increasing violent offenses as time goes on." }, { "dim_process": 20, "seq_idx": 359, "seq_len": 32, "time_since_start": [ 0.0, 0.5420601851851852, 0.8419675925925926, 1.3294675925925925, 1.4412731481481482, 2.2669675925925925, 7.370092592592592, 8.257939814814815, 8.793587962962963, 9.464189814814814, 9.999467592592593, 10.140347222222223, 10.343379629629629, 10.969652777777778, 11.143356481481481, 12.778171296296296, 13.368148148148148, 14.841967592592592, 14.894328703703703, 15.676550925925927, 16.34636574074074, 16.73224537037037, 16.83710648148148, 17.379467592592594, 17.851689814814815, 18.372175925925927, 18.432662037037037, 19.197708333333335, 19.47287037037037, 21.122407407407408, 21.565578703703704, 22.332291666666666 ], "time_since_last_event": [ 0.0, 0.5420601851851852, 0.2999074074074074, 0.4875, 0.11180555555555556, 0.8256944444444444, 5.103125, 0.8878472222222222, 0.5356481481481481, 0.6706018518518518, 0.5352777777777777, 0.14087962962962963, 0.2030324074074074, 0.6262731481481482, 0.1737037037037037, 1.6348148148148147, 0.5899768518518519, 1.4738194444444443, 0.05236111111111111, 0.7822222222222223, 0.6698148148148149, 0.38587962962962963, 0.10486111111111111, 0.5423611111111111, 0.4722222222222222, 0.5204861111111111, 0.06048611111111111, 0.7650462962962963, 0.275162037037037, 1.649537037037037, 0.4431712962962963, 0.766712962962963 ], "type_event": [ 3, 9, 4, 4, 4, 13, 1, 4, 7, 4, 9, 3, 4, 10, 0, 8, 0, 7, 8, 7, 4, 6, 4, 6, 6, 9, 9, 1, 0, 7, 8, 8 ], "type_text": [ "Deceptive Practice", "Assault", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Offense Involving Children", "Weapons Violation", "Motor Vehicle Theft", "Battery", "Motor Vehicle Theft", "Assault", "Deceptive Practice", "Motor Vehicle Theft", "Burglary", "Theft", "Other Offense", "Theft", "Battery", "Other Offense", "Battery", "Motor Vehicle Theft", "Criminal Damage", "Motor Vehicle Theft", "Criminal Damage", "Criminal Damage", "Assault", "Assault", "Weapons Violation", "Theft", "Battery", "Other Offense", "Other Offense" ], "description": "The sequence of crime incidents shows a pattern where motor vehicle thefts occur frequently and cluster in the early months, with multiple incidents reported within a short timeframe. Assaults and deceptive practices appear earlier in the timeline, while offenses involving children and weapons violations emerge later. The latter part of the sequence sees a rise in various offenses, including theft and criminal damage, indicating a diverse range of incidents occurring over time. Overall, there is a notable prevalence of motor vehicle thefts throughout the timeline, with a gradual increase in other crime types as time progresses." }, { "dim_process": 20, "seq_idx": 360, "seq_len": 31, "time_since_start": [ 0.0, 2.180671296296296, 2.5304166666666665, 2.8140046296296295, 5.499282407407407, 5.661064814814814, 5.947337962962963, 6.332291666666666, 6.877893518518518, 7.505671296296296, 7.812615740740741, 8.979282407407407, 9.819444444444445, 10.723726851851852, 11.211226851851851, 12.222337962962962, 14.094560185185186, 14.246226851851851, 14.408796296296297, 15.561296296296296, 16.105671296296297, 17.50289351851852, 17.52025462962963, 17.605555555555554, 17.650902777777777, 18.41402777777778, 19.97511574074074, 19.998032407407408, 20.289699074074075, 22.336458333333333, 23.118449074074075 ], "time_since_last_event": [ 0.0, 2.180671296296296, 0.34974537037037035, 0.28358796296296296, 2.685277777777778, 0.1617824074074074, 0.28627314814814814, 0.3849537037037037, 0.5456018518518518, 0.6277777777777778, 0.30694444444444446, 1.1666666666666667, 0.8401620370370371, 0.9042824074074074, 0.4875, 1.011111111111111, 1.8722222222222222, 0.15166666666666667, 0.16256944444444443, 1.1525, 0.544375, 1.3972222222222221, 0.017361111111111112, 0.08530092592592593, 0.04534722222222222, 0.763125, 1.561087962962963, 0.022916666666666665, 0.2916666666666667, 2.046759259259259, 0.7819907407407407 ], "type_event": [ 4, 14, 6, 8, 7, 0, 13, 4, 0, 4, 10, 11, 9, 4, 4, 10, 4, 9, 9, 6, 4, 0, 4, 14, 6, 0, 4, 9, 0, 6, 7 ], "type_text": [ "Motor Vehicle Theft", "Criminal Sexual Assault", "Criminal Damage", "Other Offense", "Battery", "Theft", "Offense Involving Children", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Burglary", "Robbery", "Assault", "Motor Vehicle Theft", "Motor Vehicle Theft", "Burglary", "Motor Vehicle Theft", "Assault", "Assault", "Criminal Damage", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Criminal Sexual Assault", "Criminal Damage", "Theft", "Motor Vehicle Theft", "Assault", "Theft", "Criminal Damage", "Battery" ], "description": "The sequence of crime incidents shows a pattern where Motor Vehicle Theft appears frequently and is notably clustered in the earlier and later months of the timeline. Other offenses, such as Assault and Theft, also occur multiple times, particularly in the middle to later months. Criminal Sexual Assault and Criminal Damage incidents are interspersed throughout the sequence, with Criminal Damage appearing more prominently in the latter part. Overall, there is a general trend of increasing crime frequency as time progresses, with certain types of offenses, like Motor Vehicle Theft, dominating the earlier and later periods." }, { "dim_process": 20, "seq_idx": 361, "seq_len": 39, "time_since_start": [ 0.0, 0.14884259259259258, 0.17708333333333334, 1.080787037037037, 1.5773148148148148, 1.639537037037037, 2.743287037037037, 4.264097222222222, 4.281481481481482, 4.777314814814815, 4.882175925925926, 4.993981481481481, 5.204236111111111, 5.374537037037037, 6.051620370370371, 6.518287037037037, 6.812430555555555, 7.416203703703704, 7.686435185185185, 8.27789351851852, 8.72662037037037, 8.80787037037037, 9.412731481481481, 10.10162037037037, 10.888425925925926, 11.561342592592593, 11.82349537037037, 14.740509259259259, 14.76863425925926, 14.772685185185185, 15.008564814814815, 15.31550925925926, 15.334953703703704, 15.951620370370371, 15.952916666666667, 18.758796296296296, 19.881782407407407, 22.608564814814816, 22.719675925925927 ], "time_since_last_event": [ 0.0, 0.14884259259259258, 0.02824074074074074, 0.9037037037037037, 0.4965277777777778, 0.06222222222222222, 1.10375, 1.5208101851851852, 0.01738425925925926, 0.49583333333333335, 0.10486111111111111, 0.11180555555555556, 0.21025462962962962, 0.17030092592592594, 0.6770833333333334, 0.4666666666666667, 0.2941435185185185, 0.6037731481481482, 0.27023148148148146, 0.5914583333333333, 0.44872685185185185, 0.08125, 0.6048611111111111, 0.6888888888888889, 0.7868055555555555, 0.6729166666666667, 0.2621527777777778, 2.917013888888889, 0.028125, 0.004050925925925926, 0.23587962962962963, 0.30694444444444446, 0.019444444444444445, 0.6166666666666667, 0.0012962962962962963, 2.80587962962963, 1.122986111111111, 2.7267824074074074, 0.1111111111111111 ], "type_event": [ 9, 7, 7, 7, 9, 0, 6, 7, 7, 0, 2, 7, 9, 4, 0, 0, 11, 0, 6, 7, 3, 7, 8, 6, 6, 4, 6, 7, 13, 7, 4, 4, 0, 6, 1, 7, 7, 10, 8 ], "type_text": [ "Assault", "Battery", "Battery", "Battery", "Assault", "Theft", "Criminal Damage", "Battery", "Battery", "Theft", "Sex Offense", "Battery", "Assault", "Motor Vehicle Theft", "Theft", "Theft", "Robbery", "Theft", "Criminal Damage", "Battery", "Deceptive Practice", "Battery", "Other Offense", "Criminal Damage", "Criminal Damage", "Motor Vehicle Theft", "Criminal Damage", "Battery", "Offense Involving Children", "Battery", "Motor Vehicle Theft", "Motor Vehicle Theft", "Theft", "Criminal Damage", "Weapons Violation", "Battery", "Battery", "Burglary", "Other Offense" ], "description": "The sequence of crime incidents shows a pattern where assaults and batteries occur relatively early in the timeline, with multiple incidents of battery clustered within the first few months. Theft incidents begin to emerge shortly after, with a noticeable increase in frequency around the mid-point of the timeline. Criminal damage events appear intermittently, with a slight clustering towards the later months. Motor vehicle thefts also appear later in the sequence, alongside a few other offense types, indicating a shift in the nature of incidents as time progresses. Overall, the data reflects a transition from violent crimes to property crimes as the timeline advances." }, { "dim_process": 20, "seq_idx": 362, "seq_len": 37, "time_since_start": [ 0.0, 0.2894212962962963, 1.8162731481481482, 1.9009953703703704, 2.0655787037037037, 2.1322453703703705, 2.625300925925926, 2.9273842592592594, 3.200902777777778, 3.3725694444444443, 3.375462962962963, 3.3933564814814816, 3.6258564814814815, 3.969398148148148, 4.853078703703703, 4.9808564814814815, 7.130856481481482, 7.135208333333333, 7.933171296296297, 8.248217592592592, 8.448217592592593, 8.525300925925926, 8.533634259259259, 10.135717592592593, 10.136412037037037, 10.331064814814814, 10.952013888888889, 12.331319444444444, 13.297523148148148, 17.70863425925926, 19.575324074074075, 20.155162037037037, 20.612800925925924, 22.23988425925926, 22.262800925925927, 23.540347222222223, 23.678078703703704 ], "time_since_last_event": [ 0.0, 0.2894212962962963, 1.526851851851852, 0.08472222222222223, 0.16458333333333333, 0.06666666666666667, 0.4930555555555556, 0.3020833333333333, 0.2735185185185185, 0.17166666666666666, 0.0028935185185185184, 0.017893518518518517, 0.2325, 0.3435416666666667, 0.8836805555555556, 0.12777777777777777, 2.15, 0.0043518518518518515, 0.797962962962963, 0.31504629629629627, 0.2, 0.07708333333333334, 0.008333333333333333, 1.6020833333333333, 0.0006944444444444445, 0.19465277777777779, 0.6209490740740741, 1.3793055555555556, 0.9662037037037037, 4.411111111111111, 1.8666898148148148, 0.579837962962963, 0.4576388888888889, 1.6270833333333334, 0.022916666666666665, 1.2775462962962962, 0.13773148148148148 ], "type_event": [ 1, 9, 9, 9, 8, 6, 0, 9, 1, 8, 6, 9, 1, 6, 8, 14, 11, 6, 8, 12, 10, 8, 8, 4, 4, 13, 9, 0, 10, 4, 9, 4, 4, 4, 4, 6, 4 ], "type_text": [ "Weapons Violation", "Assault", "Assault", "Assault", "Other Offense", "Criminal Damage", "Theft", "Assault", "Weapons Violation", "Other Offense", "Criminal Damage", "Assault", "Weapons Violation", "Criminal Damage", "Other Offense", "Criminal Sexual Assault", "Robbery", "Criminal Damage", "Other Offense", "Arson", "Burglary", "Other Offense", "Other Offense", "Motor Vehicle Theft", "Motor Vehicle Theft", "Offense Involving Children", "Assault", "Theft", "Burglary", "Motor Vehicle Theft", "Assault", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Criminal Damage", "Motor Vehicle Theft" ], "description": "The sequence of crime incidents shows a variety of crime types occurring over time, with notable clusters of certain offenses. Assault incidents are prevalent in the early months, particularly within the first four months, while weapons violations also appear early in the sequence. Other offenses and criminal damage incidents emerge around the same time, indicating a mix of crime types in the initial period. As time progresses, there is a noticeable increase in motor vehicle thefts, particularly from the later months, suggesting a shift in the types of crimes reported. Burglary and robbery incidents appear sporadically, with other offenses continuing to be reported throughout the timeline." }, { "dim_process": 20, "seq_idx": 363, "seq_len": 42, "time_since_start": [ 0.0, 0.046782407407407404, 0.06050925925925926, 0.6017824074074074, 1.3129629629629629, 1.9327314814814816, 2.1352777777777776, 2.3917592592592594, 2.51337962962963, 3.011736111111111, 4.650162037037037, 5.778333333333333, 9.840833333333334, 11.689444444444444, 11.690138888888889, 12.563287037037037, 13.197777777777778, 14.400162037037036, 15.110185185185186, 16.910810185185184, 17.921087962962964, 18.031111111111112, 18.24041666666667, 18.314444444444444, 18.342916666666667, 18.515833333333333, 18.604027777777777, 18.710046296296298, 19.049189814814813, 19.126597222222223, 19.286087962962963, 19.31548611111111, 20.72833333333333, 20.996435185185184, 21.65888888888889, 22.19152777777778, 22.433125, 22.46238425925926, 22.568425925925926, 23.116689814814816, 23.260625, 24.19847222222222 ], "time_since_last_event": [ 0.0, 0.046782407407407404, 0.013726851851851851, 0.5412731481481482, 0.7111805555555556, 0.6197685185185186, 0.2025462962962963, 0.2564814814814815, 0.12162037037037036, 0.4983564814814815, 1.638425925925926, 1.1281712962962962, 4.0625, 1.8486111111111112, 0.0006944444444444445, 0.8731481481481481, 0.6344907407407407, 1.2023842592592593, 0.7100231481481482, 1.800625, 1.0102777777777778, 0.11002314814814815, 0.20930555555555555, 0.07402777777777778, 0.02847222222222222, 0.17291666666666666, 0.08819444444444445, 0.10601851851851851, 0.33914351851851854, 0.07740740740740741, 0.15949074074074074, 0.02939814814814815, 1.4128472222222221, 0.26810185185185187, 0.6624537037037037, 0.5326388888888889, 0.2415972222222222, 0.02925925925925926, 0.10604166666666667, 0.5482638888888889, 0.1439351851851852, 0.9378472222222223 ], "type_event": [ 0, 8, 6, 9, 15, 7, 9, 7, 5, 7, 19, 6, 4, 0, 6, 0, 7, 6, 6, 6, 9, 0, 4, 0, 4, 4, 4, 5, 6, 6, 1, 9, 6, 19, 6, 9, 5, 0, 3, 0, 6, 6 ], "type_text": [ "Theft", "Other Offense", "Criminal Damage", "Assault", "Interference With Public Officer", "Battery", "Assault", "Battery", "Criminal Trespass", "Battery", "Homicide", "Criminal Damage", "Motor Vehicle Theft", "Theft", "Criminal Damage", "Theft", "Battery", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Assault", "Theft", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Criminal Trespass", "Criminal Damage", "Criminal Damage", "Weapons Violation", "Assault", "Criminal Damage", "Homicide", "Criminal Damage", "Assault", "Criminal Trespass", "Theft", "Deceptive Practice", "Theft", "Criminal Damage", "Criminal Damage" ], "description": "The sequence of crime incidents shows an initial cluster of thefts and other offenses occurring within the first few months, followed by a mix of assaults and batteries. As time progresses, there is a notable increase in criminal damage incidents, particularly in the latter half of the timeline. Homicides are reported at two distinct points, with a significant gap between them. Motor vehicle thefts appear later in the sequence, along with a consistent presence of thefts and criminal damage towards the end, indicating a trend of increasing criminal activity over time." }, { "dim_process": 20, "seq_idx": 364, "seq_len": 31, "time_since_start": [ 0.0, 1.0819444444444444, 1.9779166666666668, 3.067638888888889, 6.768055555555556, 7.340277777777778, 9.045833333333333, 9.1125, 9.41837962962963, 10.549421296296297, 10.800648148148149, 10.82986111111111, 10.889930555555555, 10.969907407407407, 11.00849537037037, 11.458333333333334, 11.458912037037036, 12.049189814814815, 12.103125, 12.641666666666667, 12.709027777777777, 12.925532407407408, 13.665416666666667, 15.127777777777778, 15.55324074074074, 18.4625, 19.50486111111111, 21.97303240740741, 23.20138888888889, 23.27638888888889, 23.64178240740741 ], "time_since_last_event": [ 0.0, 1.0819444444444444, 0.8959722222222222, 1.0897222222222223, 3.7004166666666665, 0.5722222222222222, 1.7055555555555555, 0.06666666666666667, 0.3058796296296296, 1.1310416666666667, 0.25122685185185184, 0.02921296296296296, 0.060069444444444446, 0.07997685185185185, 0.03858796296296296, 0.44983796296296297, 0.0005787037037037037, 0.5902777777777778, 0.05393518518518518, 0.5385416666666667, 0.06736111111111111, 0.21650462962962963, 0.7398842592592593, 1.462361111111111, 0.425462962962963, 2.9092592592592594, 1.042361111111111, 2.4681712962962963, 1.2283564814814816, 0.075, 0.36539351851851853 ], "type_event": [ 7, 4, 6, 8, 6, 9, 6, 10, 7, 6, 6, 8, 11, 8, 8, 6, 6, 9, 6, 10, 7, 7, 9, 0, 7, 0, 9, 7, 6, 4, 11 ], "type_text": [ "Battery", "Motor Vehicle Theft", "Criminal Damage", "Other Offense", "Criminal Damage", "Assault", "Criminal Damage", "Burglary", "Battery", "Criminal Damage", "Criminal Damage", "Other Offense", "Robbery", "Other Offense", "Other Offense", "Criminal Damage", "Criminal Damage", "Assault", "Criminal Damage", "Burglary", "Battery", "Battery", "Assault", "Theft", "Battery", "Theft", "Assault", "Battery", "Criminal Damage", "Motor Vehicle Theft", "Robbery" ], "description": "The sequence of crime incidents begins with a battery incident, followed by a motor vehicle theft and a criminal damage event within the first two months. A pattern emerges where criminal damage incidents occur multiple times, particularly clustered between months 6 and 12. Assaults and batteries appear consistently throughout the timeline, with notable occurrences around months 12 and 19. The sequence also shows a later emergence of theft and robbery incidents, particularly after the 15-month mark. Overall, there is a trend of increasing criminal activity over time, with certain types of crimes, like criminal damage, appearing more frequently in the middle of the timeline." }, { "dim_process": 20, "seq_idx": 365, "seq_len": 48, "time_since_start": [ 0.0, 0.0024537037037037036, 0.31527777777777777, 0.3435185185185185, 0.3438657407407407, 1.1653935185185185, 1.260925925925926, 1.8763194444444444, 2.692962962962963, 3.734236111111111, 4.13125, 4.227083333333334, 4.233333333333333, 4.304166666666666, 4.663194444444445, 4.721412037037037, 6.431550925925926, 6.777175925925926, 6.933333333333334, 6.966666666666667, 9.013078703703703, 9.234722222222222, 9.575694444444444, 9.621527777777779, 10.693356481481482, 10.704166666666667, 10.965972222222222, 11.186111111111112, 11.793819444444445, 12.666689814814815, 13.7625, 13.925347222222221, 13.93011574074074, 14.024305555555555, 14.93226851851852, 15.692361111111111, 15.694097222222222, 15.7, 15.788194444444445, 15.983333333333333, 17.131203703703704, 17.146180555555556, 19.394560185185185, 20.49976851851852, 20.856944444444444, 21.35972222222222, 21.689583333333335, 22.31388888888889 ], "time_since_last_event": [ 0.0, 0.0024537037037037036, 0.3128240740740741, 0.02824074074074074, 0.00034722222222222224, 0.8215277777777777, 0.09553240740740741, 0.6153935185185185, 0.8166435185185185, 1.041273148148148, 0.3970138888888889, 0.09583333333333334, 0.00625, 0.07083333333333333, 0.3590277777777778, 0.05821759259259259, 1.7101388888888889, 0.345625, 0.1561574074074074, 0.03333333333333333, 2.046412037037037, 0.22164351851851852, 0.34097222222222223, 0.04583333333333333, 1.0718287037037038, 0.010810185185185185, 0.26180555555555557, 0.22013888888888888, 0.6077083333333333, 0.8728703703703704, 1.0958101851851851, 0.16284722222222223, 0.004768518518518518, 0.09418981481481481, 0.907962962962963, 0.7600925925925925, 0.001736111111111111, 0.005902777777777778, 0.08819444444444445, 0.1951388888888889, 1.1478703703703703, 0.014976851851851852, 2.2483796296296297, 1.1052083333333333, 0.35717592592592595, 0.5027777777777778, 0.3298611111111111, 0.6243055555555556 ], "type_event": [ 9, 6, 6, 7, 9, 7, 8, 0, 8, 9, 9, 4, 14, 7, 0, 4, 8, 9, 0, 4, 7, 7, 12, 7, 1, 11, 4, 7, 11, 4, 4, 6, 8, 0, 8, 0, 0, 0, 0, 4, 8, 9, 8, 9, 0, 10, 6, 7 ], "type_text": [ "Assault", "Criminal Damage", "Criminal Damage", "Battery", "Assault", "Battery", "Other Offense", "Theft", "Other Offense", "Assault", "Assault", "Motor Vehicle Theft", "Criminal Sexual Assault", "Battery", "Theft", "Motor Vehicle Theft", "Other Offense", "Assault", "Theft", "Motor Vehicle Theft", "Battery", "Battery", "Arson", "Battery", "Weapons Violation", "Robbery", "Motor Vehicle Theft", "Battery", "Robbery", "Motor Vehicle Theft", "Motor Vehicle Theft", "Criminal Damage", "Other Offense", "Theft", "Other Offense", "Theft", "Theft", "Theft", "Theft", "Motor Vehicle Theft", "Other Offense", "Assault", "Other Offense", "Assault", "Theft", "Burglary", "Criminal Damage", "Battery" ], "description": "The sequence of crime incidents begins with assaults and criminal damage occurring early on, followed by a mix of battery and theft incidents as time progresses. There is a noticeable clustering of assaults and batteries around the 4 to 10-month mark, with a gradual increase in other offenses and thefts observed later in the timeline. Motor vehicle thefts emerge prominently after the 4-month mark, while robbery and arson incidents appear towards the latter part of the sequence. Overall, the data reflects a trend of increasing diversity in crime types over time, with certain offenses like theft becoming more frequent in the later months." }, { "dim_process": 20, "seq_idx": 366, "seq_len": 35, "time_since_start": [ 0.0, 3.3719907407407406, 3.4747685185185184, 4.769907407407407, 5.04425925925926, 5.327662037037037, 5.936574074074074, 5.967708333333333, 6.029907407407407, 6.4341435185185185, 6.596180555555556, 6.96087962962963, 7.463657407407408, 7.890578703703704, 8.277546296296297, 9.649074074074074, 10.421689814814815, 10.962569444444444, 11.216435185185185, 11.900462962962964, 12.144212962962962, 13.23449074074074, 13.283101851851852, 14.533101851851852, 14.788657407407408, 15.162268518518518, 15.401851851851852, 15.40423611111111, 16.928935185185185, 17.827546296296298, 20.80787037037037, 20.941435185185185, 21.003935185185185, 21.653935185185187, 22.99976851851852 ], "time_since_last_event": [ 0.0, 3.3719907407407406, 0.10277777777777777, 1.2951388888888888, 0.27435185185185185, 0.2834027777777778, 0.608912037037037, 0.03113425925925926, 0.06219907407407407, 0.40423611111111113, 0.16203703703703703, 0.3646990740740741, 0.5027777777777778, 0.42692129629629627, 0.3869675925925926, 1.3715277777777777, 0.7726157407407407, 0.5408796296296297, 0.25386574074074075, 0.6840277777777778, 0.24375, 1.0902777777777777, 0.04861111111111111, 1.25, 0.25555555555555554, 0.3736111111111111, 0.23958333333333334, 0.002384259259259259, 1.524699074074074, 0.8986111111111111, 2.980324074074074, 0.1335648148148148, 0.0625, 0.65, 1.3458333333333334 ], "type_event": [ 19, 9, 6, 6, 6, 0, 0, 7, 9, 7, 0, 4, 9, 7, 6, 6, 7, 0, 10, 10, 3, 0, 0, 4, 0, 6, 9, 5, 10, 0, 9, 6, 4, 3, 0 ], "type_text": [ "Homicide", "Assault", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Theft", "Theft", "Battery", "Assault", "Battery", "Theft", "Motor Vehicle Theft", "Assault", "Battery", "Criminal Damage", "Criminal Damage", "Battery", "Theft", "Burglary", "Burglary", "Deceptive Practice", "Theft", "Theft", "Motor Vehicle Theft", "Theft", "Criminal Damage", "Assault", "Criminal Trespass", "Burglary", "Theft", "Assault", "Criminal Damage", "Motor Vehicle Theft", "Deceptive Practice", "Theft" ], "description": "The sequence of crime incidents begins with a homicide, followed by a series of assaults and various forms of criminal damage occurring within the first few months. Theft incidents start to appear around the five-month mark and continue to increase in frequency, particularly between the 10 to 15-month range, where multiple thefts are reported. Burglary incidents emerge later in the sequence, around the 11-month mark, while motor vehicle thefts are noted towards the end of the timeline. Overall, there is a noticeable clustering of theft and criminal damage incidents in the middle of the timeframe, with assaults and battery incidents more prevalent in the earlier months." }, { "dim_process": 20, "seq_idx": 367, "seq_len": 49, "time_since_start": [ 0.0, 0.36092592592592593, 1.5615972222222223, 1.8928472222222221, 2.095578703703704, 2.3140277777777776, 2.4649537037037037, 3.1640046296296296, 4.103958333333333, 5.059861111111111, 5.329236111111111, 5.5873842592592595, 5.6816203703703705, 5.786736111111111, 6.189027777777778, 7.206041666666667, 7.406967592592593, 7.831736111111111, 7.834745370370371, 8.621319444444444, 8.942847222222222, 9.081527777777778, 9.804930555555556, 10.083055555555555, 10.632430555555555, 10.649189814814815, 10.88025462962963, 11.670625, 12.365763888888889, 12.639375, 12.667152777777778, 13.327222222222222, 13.661597222222222, 14.108819444444444, 14.218194444444444, 14.393541666666666, 15.060671296296297, 15.740069444444444, 16.86511574074074, 18.511828703703703, 18.632430555555555, 19.092152777777777, 19.402407407407406, 19.842847222222222, 21.47340277777778, 21.722708333333333, 23.02810185185185, 23.540069444444445, 23.810717592592592 ], "time_since_last_event": [ 0.0, 0.36092592592592593, 1.2006712962962962, 0.33125, 0.20273148148148148, 0.21844907407407407, 0.15092592592592594, 0.6990509259259259, 0.9399537037037037, 0.9559027777777778, 0.269375, 0.2581481481481481, 0.09423611111111112, 0.10511574074074075, 0.40229166666666666, 1.0170138888888889, 0.20092592592592592, 0.42476851851851855, 0.0030092592592592593, 0.7865740740740741, 0.3215277777777778, 0.13868055555555556, 0.7234027777777777, 0.278125, 0.549375, 0.01675925925925926, 0.2310648148148148, 0.7903703703703704, 0.6951388888888889, 0.27361111111111114, 0.027777777777777776, 0.6600694444444445, 0.334375, 0.44722222222222224, 0.109375, 0.1753472222222222, 0.6671296296296296, 0.6793981481481481, 1.1250462962962964, 1.6467129629629629, 0.12060185185185185, 0.4597222222222222, 0.31025462962962963, 0.4404398148148148, 1.6305555555555555, 0.24930555555555556, 1.3053935185185186, 0.5119675925925926, 0.27064814814814814 ], "type_event": [ 7, 4, 7, 7, 1, 6, 7, 7, 4, 6, 6, 7, 4, 7, 7, 4, 4, 4, 9, 6, 0, 6, 7, 11, 4, 7, 7, 6, 6, 3, 6, 9, 4, 0, 4, 4, 7, 4, 1, 6, 4, 6, 6, 7, 9, 8, 7, 0, 6 ], "type_text": [ "Battery", "Motor Vehicle Theft", "Battery", "Battery", "Weapons Violation", "Criminal Damage", "Battery", "Battery", "Motor Vehicle Theft", "Criminal Damage", "Criminal Damage", "Battery", "Motor Vehicle Theft", "Battery", "Battery", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Assault", "Criminal Damage", "Theft", "Criminal Damage", "Battery", "Robbery", "Motor Vehicle Theft", "Battery", "Battery", "Criminal Damage", "Criminal Damage", "Deceptive Practice", "Criminal Damage", "Assault", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Battery", "Motor Vehicle Theft", "Weapons Violation", "Criminal Damage", "Motor Vehicle Theft", "Criminal Damage", "Criminal Damage", "Battery", "Assault", "Other Offense", "Battery", "Theft", "Criminal Damage" ], "description": "The sequence of crime incidents shows a notable clustering of battery incidents occurring primarily in the early months, with a peak around the first year. Motor vehicle thefts appear frequently throughout the timeline, particularly increasing in frequency after the initial months. Criminal damage incidents also show a consistent presence, with several occurrences clustered in the later months. Assaults and thefts appear sporadically, with assaults occurring in the middle and later parts of the timeline. Overall, there is a trend of increasing complexity in the types of crimes reported as time progresses, with certain types like motor vehicle theft becoming more prevalent in the latter half of the sequence." }, { "dim_process": 20, "seq_idx": 368, "seq_len": 30, "time_since_start": [ 0.0, 0.9414351851851852, 1.2763888888888888, 1.9592361111111112, 5.876388888888889, 6.1, 7.0625, 7.502777777777778, 7.545833333333333, 11.7, 12.526388888888889, 14.261458333333334, 14.831875, 16.14097222222222, 17.028819444444444, 17.110069444444445, 18.01888888888889, 18.33474537037037, 18.42013888888889, 18.4875, 19.25625, 20.125925925925927, 20.206944444444446, 20.808333333333334, 22.205972222222222, 22.208333333333332, 22.370486111111113, 23.054027777777776, 23.069444444444443, 23.1125 ], "time_since_last_event": [ 0.0, 0.9414351851851852, 0.3349537037037037, 0.6828472222222223, 3.917152777777778, 0.22361111111111112, 0.9625, 0.44027777777777777, 0.043055555555555555, 4.154166666666667, 0.8263888888888888, 1.7350694444444446, 0.5704166666666667, 1.3090972222222221, 0.8878472222222222, 0.08125, 0.9088194444444444, 0.3158564814814815, 0.08539351851851852, 0.06736111111111111, 0.76875, 0.8696759259259259, 0.08101851851851852, 0.6013888888888889, 1.3976388888888889, 0.002361111111111111, 0.16215277777777778, 0.6835416666666667, 0.015416666666666667, 0.043055555555555555 ], "type_event": [ 0, 7, 14, 1, 4, 0, 9, 6, 4, 4, 4, 6, 6, 2, 6, 11, 6, 7, 10, 7, 6, 7, 4, 6, 4, 4, 6, 6, 6, 4 ], "type_text": [ "Theft", "Battery", "Criminal Sexual Assault", "Weapons Violation", "Motor Vehicle Theft", "Theft", "Assault", "Criminal Damage", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Criminal Damage", "Criminal Damage", "Sex Offense", "Criminal Damage", "Robbery", "Criminal Damage", "Battery", "Burglary", "Battery", "Criminal Damage", "Battery", "Motor Vehicle Theft", "Criminal Damage", "Motor Vehicle Theft", "Motor Vehicle Theft", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Motor Vehicle Theft" ], "description": "The sequence of crime incidents shows a progression of various crime types over time, with certain events clustering in specific periods. Initially, theft and battery incidents occur within the first few months, followed by a series of violent crimes such as criminal sexual assault and weapons violations. As time progresses, there is a notable increase in motor vehicle thefts and criminal damage incidents, particularly around the 18 to 23-month mark, indicating a trend of escalating property crimes. The frequency of criminal damage events peaks towards the end of the sequence, suggesting a concentration of these incidents in the later months." }, { "dim_process": 20, "seq_idx": 369, "seq_len": 37, "time_since_start": [ 0.0, 0.49150462962962965, 0.5247222222222222, 1.7112731481481482, 2.002615740740741, 2.960162037037037, 3.016574074074074, 3.270601851851852, 3.6344907407407407, 4.5, 5.360949074074074, 5.661990740740741, 6.022060185185185, 7.277291666666667, 8.794976851851851, 9.464513888888888, 9.502152777777777, 10.805532407407407, 10.880023148148148, 12.806087962962962, 13.469282407407407, 13.469976851851852, 13.472060185185185, 15.169976851851851, 15.402731481481482, 15.642893518518518, 15.656782407407407, 15.668009259259259, 15.731574074074073, 15.937337962962962, 16.30400462962963, 18.530416666666667, 19.13287037037037, 19.470416666666665, 21.03525462962963, 21.240810185185186, 22.095671296296295 ], "time_since_last_event": [ 0.0, 0.49150462962962965, 0.03321759259259259, 1.186550925925926, 0.2913425925925926, 0.9575462962962963, 0.05641203703703704, 0.2540277777777778, 0.3638888888888889, 0.8655092592592593, 0.8609490740740741, 0.30104166666666665, 0.36006944444444444, 1.2552314814814816, 1.5176851851851851, 0.669537037037037, 0.03763888888888889, 1.3033796296296296, 0.07449074074074075, 1.9260648148148147, 0.6631944444444444, 0.0006944444444444445, 0.0020833333333333333, 1.6979166666666667, 0.23275462962962962, 0.24016203703703703, 0.013888888888888888, 0.011226851851851852, 0.06356481481481481, 0.20576388888888889, 0.36666666666666664, 2.226412037037037, 0.6024537037037037, 0.3375462962962963, 1.564837962962963, 0.20555555555555555, 0.8548611111111111 ], "type_event": [ 7, 7, 9, 6, 9, 8, 7, 7, 5, 6, 0, 1, 8, 1, 0, 1, 1, 4, 7, 0, 9, 6, 6, 7, 6, 7, 8, 9, 9, 7, 0, 8, 9, 1, 7, 6, 9 ], "type_text": [ "Battery", "Battery", "Assault", "Criminal Damage", "Assault", "Other Offense", "Battery", "Battery", "Criminal Trespass", "Criminal Damage", "Theft", "Weapons Violation", "Other Offense", "Weapons Violation", "Theft", "Weapons Violation", "Weapons Violation", "Motor Vehicle Theft", "Battery", "Theft", "Assault", "Criminal Damage", "Criminal Damage", "Battery", "Criminal Damage", "Battery", "Other Offense", "Assault", "Assault", "Battery", "Theft", "Other Offense", "Assault", "Weapons Violation", "Battery", "Criminal Damage", "Assault" ], "description": "The sequence of crime incidents shows a pattern where battery and assault incidents occur frequently in the early months, with several instances clustered around the initial period. Criminal damage events appear intermittently, with a notable increase in frequency around the 13-month mark. Theft and weapons violations emerge later in the timeline, particularly after the 5-month mark, with multiple occurrences noted in the latter part of the sequence. Overall, there is a noticeable shift from violent crimes like battery and assault to property-related crimes and weapons violations as time progresses." }, { "dim_process": 20, "seq_idx": 370, "seq_len": 35, "time_since_start": [ 0.0, 0.0010416666666666667, 0.565625, 1.6478935185185186, 3.8513888888888888, 5.473958333333333, 5.636620370370371, 5.675694444444445, 6.370138888888889, 6.499907407407408, 6.798611111111111, 7.102083333333334, 7.215277777777778, 7.401388888888889, 8.437777777777777, 10.783333333333333, 10.812037037037037, 11.319444444444445, 13.453472222222222, 14.241666666666667, 14.334212962962964, 14.718032407407408, 15.373726851851853, 16.34525462962963, 17.60537037037037, 19.597916666666666, 19.702546296296298, 21.1375, 21.542106481481483, 21.65273148148148, 21.710069444444443, 23.006944444444443, 23.10675925925926, 23.64097222222222, 24.17037037037037 ], "time_since_last_event": [ 0.0, 0.0010416666666666667, 0.5645833333333333, 1.0822685185185186, 2.2034953703703706, 1.6225694444444445, 0.16266203703703705, 0.039074074074074074, 0.6944444444444444, 0.1297685185185185, 0.2987037037037037, 0.3034722222222222, 0.11319444444444444, 0.18611111111111112, 1.0363888888888888, 2.3455555555555554, 0.028703703703703703, 0.5074074074074074, 2.134027777777778, 0.7881944444444444, 0.0925462962962963, 0.38381944444444444, 0.6556944444444445, 0.9715277777777778, 1.2601157407407408, 1.9925462962962963, 0.10462962962962963, 1.4349537037037037, 0.4046064814814815, 0.110625, 0.057337962962962966, 1.296875, 0.09981481481481481, 0.534212962962963, 0.5293981481481481 ], "type_event": [ 0, 9, 3, 3, 4, 9, 11, 9, 4, 14, 0, 9, 11, 4, 1, 0, 4, 4, 6, 0, 1, 1, 8, 15, 9, 0, 6, 10, 10, 7, 16, 4, 9, 11, 15 ], "type_text": [ "Theft", "Assault", "Deceptive Practice", "Deceptive Practice", "Motor Vehicle Theft", "Assault", "Robbery", "Assault", "Motor Vehicle Theft", "Criminal Sexual Assault", "Theft", "Assault", "Robbery", "Motor Vehicle Theft", "Weapons Violation", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Criminal Damage", "Theft", "Weapons Violation", "Weapons Violation", "Other Offense", "Interference With Public Officer", "Assault", "Theft", "Criminal Damage", "Burglary", "Burglary", "Battery", "Narcotics", "Motor Vehicle Theft", "Assault", "Robbery", "Interference With Public Officer" ], "description": "The sequence of crime incidents shows a variety of crime types occurring over time, with certain patterns emerging. Initially, theft and assault incidents are reported closely together, followed by a rise in deceptive practices. As time progresses, motor vehicle thefts become more frequent, particularly clustered around the 6 to 11-month mark. Towards the later stages, there is a notable increase in weapon violations, assaults, and various property crimes such as burglary, indicating a shift in the types of incidents occurring. Overall, the data suggests that certain crime types, such as assaults and thefts, are more prevalent in the earlier months, while motor vehicle thefts and weapon-related incidents appear more prominently in the later months." }, { "dim_process": 20, "seq_idx": 371, "seq_len": 50, "time_since_start": [ 0.0, 0.9055555555555556, 1.099537037037037, 1.511111111111111, 1.5382638888888889, 1.698611111111111, 1.7025462962962963, 1.8668981481481481, 1.9293981481481481, 1.9792824074074074, 2.4590277777777776, 2.5652777777777778, 2.600324074074074, 3.6436805555555556, 4.486365740740741, 4.84375, 5.323611111111111, 6.1444675925925925, 6.477777777777778, 6.711550925925926, 7.373611111111111, 7.548009259259259, 7.98125, 7.986111111111111, 8.203125, 8.545833333333333, 8.575208333333334, 8.875, 9.129513888888889, 9.658611111111112, 11.172222222222222, 11.900416666666667, 12.600694444444445, 13.202037037037037, 13.994467592592592, 14.256944444444445, 15.44701388888889, 15.624606481481482, 16.940277777777776, 17.02638888888889, 17.742361111111112, 18.046180555555555, 18.179259259259258, 18.184722222222224, 18.600578703703704, 19.999305555555555, 20.63800925925926, 22.922916666666666, 23.48472222222222, 24.075 ], "time_since_last_event": [ 0.0, 0.9055555555555556, 0.19398148148148148, 0.4115740740740741, 0.02715277777777778, 0.16034722222222222, 0.003935185185185185, 0.16435185185185186, 0.0625, 0.04988425925925926, 0.47974537037037035, 0.10625, 0.0350462962962963, 1.0433564814814815, 0.8426851851851852, 0.35738425925925926, 0.4798611111111111, 0.8208564814814815, 0.3333101851851852, 0.23377314814814815, 0.6620601851851852, 0.17439814814814814, 0.43324074074074076, 0.004861111111111111, 0.2170138888888889, 0.34270833333333334, 0.029375, 0.2997916666666667, 0.2545138888888889, 0.5290972222222222, 1.513611111111111, 0.7281944444444445, 0.7002777777777778, 0.6013425925925926, 0.7924305555555555, 0.2624768518518519, 1.1900694444444444, 0.17759259259259258, 1.3156712962962962, 0.08611111111111111, 0.7159722222222222, 0.3038194444444444, 0.1330787037037037, 0.005462962962962963, 0.41585648148148147, 1.3987268518518519, 0.6387037037037037, 2.2849074074074074, 0.5618055555555556, 0.5902777777777778 ], "type_event": [ 9, 11, 8, 6, 6, 0, 7, 6, 0, 6, 9, 7, 1, 7, 16, 9, 10, 9, 0, 9, 0, 7, 4, 6, 9, 4, 6, 9, 7, 7, 10, 0, 5, 7, 16, 4, 9, 7, 2, 0, 5, 7, 7, 9, 9, 0, 6, 9, 0, 6 ], "type_text": [ "Assault", "Robbery", "Other Offense", "Criminal Damage", "Criminal Damage", "Theft", "Battery", "Criminal Damage", "Theft", "Criminal Damage", "Assault", "Battery", "Weapons Violation", "Battery", "Narcotics", "Assault", "Burglary", "Assault", "Theft", "Assault", "Theft", "Battery", "Motor Vehicle Theft", "Criminal Damage", "Assault", "Motor Vehicle Theft", "Criminal Damage", "Assault", "Battery", "Battery", "Burglary", "Theft", "Criminal Trespass", "Battery", "Narcotics", "Motor Vehicle Theft", "Assault", "Battery", "Sex Offense", "Theft", "Criminal Trespass", "Battery", "Battery", "Assault", "Assault", "Theft", "Criminal Damage", "Assault", "Theft", "Criminal Damage" ], "description": "The sequence of crime incidents shows a pattern where various types of assaults and thefts occur frequently in the initial months, with assaults appearing consistently throughout the timeline. Criminal damage incidents cluster in the early to mid-periods, while narcotics offenses emerge later in the sequence. Battery incidents also appear regularly, particularly in the middle of the timeline. Motor vehicle thefts and burglaries are noted towards the latter part of the sequence, indicating a shift in the types of crimes reported over time. Overall, there is a noticeable prevalence of violent crimes in the early stages, transitioning to property crimes as the timeline progresses." }, { "dim_process": 20, "seq_idx": 372, "seq_len": 31, "time_since_start": [ 0.0, 0.4736111111111111, 0.7486111111111111, 3.3583333333333334, 4.742013888888889, 4.764583333333333, 7.298055555555556, 8.063055555555556, 11.5375, 14.450208333333334, 14.455555555555556, 14.65787037037037, 14.658472222222223, 15.485416666666667, 15.923935185185185, 16.00712962962963, 16.494606481481483, 16.523333333333333, 16.728935185185186, 17.04652777777778, 17.486689814814813, 17.927777777777777, 18.219444444444445, 18.309722222222224, 18.498680555555556, 19.38689814814815, 20.497222222222224, 22.705532407407407, 23.078518518518518, 23.226805555555554, 23.575 ], "time_since_last_event": [ 0.0, 0.4736111111111111, 0.275, 2.609722222222222, 1.3836805555555556, 0.022569444444444444, 2.533472222222222, 0.765, 3.4744444444444444, 2.9127083333333332, 0.005347222222222222, 0.2023148148148148, 0.0006018518518518519, 0.8269444444444445, 0.43851851851851853, 0.08319444444444445, 0.48747685185185186, 0.02872685185185185, 0.20560185185185184, 0.3175925925925926, 0.44016203703703705, 0.441087962962963, 0.2916666666666667, 0.09027777777777778, 0.18895833333333334, 0.8882175925925926, 1.110324074074074, 2.2083101851851854, 0.37298611111111113, 0.14828703703703705, 0.3481944444444444 ], "type_event": [ 6, 3, 7, 7, 0, 6, 7, 1, 5, 9, 9, 7, 6, 7, 7, 8, 7, 9, 6, 7, 8, 6, 0, 4, 7, 6, 4, 9, 8, 9, 0 ], "type_text": [ "Criminal Damage", "Deceptive Practice", "Battery", "Battery", "Theft", "Criminal Damage", "Battery", "Weapons Violation", "Criminal Trespass", "Assault", "Assault", "Battery", "Criminal Damage", "Battery", "Battery", "Other Offense", "Battery", "Assault", "Criminal Damage", "Battery", "Other Offense", "Criminal Damage", "Theft", "Motor Vehicle Theft", "Battery", "Criminal Damage", "Motor Vehicle Theft", "Assault", "Other Offense", "Assault", "Theft" ], "description": "The sequence of crime incidents shows a gradual increase in frequency over time, with a notable clustering of events occurring between 14 and 24 months. Initially, incidents such as Criminal Damage and Deceptive Practice appear early, but Battery becomes the most frequent type as the timeline progresses. The latter part of the sequence sees a rise in various offenses, including Theft and Assault, indicating a diverse range of criminal activities occurring in closer succession. Overall, the data reflects a trend of increasing criminal activity with certain types of offenses, particularly Battery and Criminal Damage, becoming more prevalent in the later months." }, { "dim_process": 20, "seq_idx": 373, "seq_len": 45, "time_since_start": [ 0.0, 0.7502314814814814, 0.7933564814814815, 1.4984027777777778, 1.4984027777777778, 1.5611342592592592, 2.2895833333333333, 2.549212962962963, 3.713888888888889, 3.9585648148148147, 4.243935185185185, 4.587037037037037, 4.587037037037037, 4.8872685185185185, 5.161111111111111, 5.180555555555555, 5.43025462962963, 5.829166666666667, 5.961805555555555, 6.3597222222222225, 6.360416666666667, 6.624791666666667, 6.6644907407407405, 8.490092592592593, 8.82986111111111, 9.17550925925926, 9.21199074074074, 9.461319444444445, 10.518055555555556, 12.19513888888889, 12.436111111111112, 12.956944444444444, 15.327083333333333, 17.447222222222223, 18.522962962962964, 18.59490740740741, 19.110648148148147, 19.149305555555557, 19.419444444444444, 19.425, 19.908333333333335, 20.07053240740741, 20.239050925925927, 20.604884259259258, 22.93125 ], "time_since_last_event": [ 0.0, 0.7502314814814814, 0.043125, 0.7050462962962963, 0.0, 0.06273148148148149, 0.7284490740740741, 0.25962962962962965, 1.1646759259259258, 0.24467592592592594, 0.2853703703703704, 0.3431018518518518, 0.0, 0.3002314814814815, 0.2738425925925926, 0.019444444444444445, 0.24969907407407407, 0.39891203703703704, 0.1326388888888889, 0.39791666666666664, 0.0006944444444444445, 0.264375, 0.039699074074074074, 1.8256018518518518, 0.3397685185185185, 0.34564814814814815, 0.03648148148148148, 0.2493287037037037, 1.056736111111111, 1.6770833333333333, 0.24097222222222223, 0.5208333333333334, 2.370138888888889, 2.120138888888889, 1.0757407407407407, 0.07194444444444445, 0.5157407407407407, 0.038657407407407404, 0.2701388888888889, 0.005555555555555556, 0.48333333333333334, 0.16219907407407408, 0.1685185185185185, 0.36583333333333334, 2.3263657407407408 ], "type_event": [ 7, 0, 1, 6, 1, 7, 7, 5, 7, 6, 9, 1, 16, 7, 0, 7, 1, 7, 7, 7, 7, 9, 6, 6, 8, 7, 7, 6, 6, 4, 7, 7, 7, 6, 7, 6, 7, 6, 11, 8, 0, 6, 12, 6, 4 ], "type_text": [ "Battery", "Theft", "Weapons Violation", "Criminal Damage", "Weapons Violation", "Battery", "Battery", "Criminal Trespass", "Battery", "Criminal Damage", "Assault", "Weapons Violation", "Narcotics", "Battery", "Theft", "Battery", "Weapons Violation", "Battery", "Battery", "Battery", "Battery", "Assault", "Criminal Damage", "Criminal Damage", "Other Offense", "Battery", "Battery", "Criminal Damage", "Criminal Damage", "Motor Vehicle Theft", "Battery", "Battery", "Battery", "Criminal Damage", "Battery", "Criminal Damage", "Battery", "Criminal Damage", "Robbery", "Other Offense", "Theft", "Criminal Damage", "Arson", "Criminal Damage", "Motor Vehicle Theft" ], "description": "The sequence of crime incidents shows a pattern where battery incidents occur frequently throughout the timeline, particularly clustering in the earlier months. Weapons violations and thefts appear early in the sequence, while criminal damage incidents start to increase significantly after the initial months. Assaults and narcotics offenses are noted around the mid-point, and motor vehicle thefts appear later in the timeline, indicating a shift in the types of crimes reported as time progresses. Overall, there is a noticeable increase in criminal damage incidents towards the latter part of the sequence." }, { "dim_process": 20, "seq_idx": 374, "seq_len": 42, "time_since_start": [ 0.0, 0.14097222222222222, 0.17395833333333333, 0.5791666666666667, 0.7176157407407407, 0.7701388888888889, 1.1590277777777778, 1.5037037037037038, 1.8590277777777777, 2.759027777777778, 2.9358796296296297, 3.248611111111111, 3.9868055555555557, 4.175, 5.474861111111111, 5.572222222222222, 6.05625, 6.100694444444445, 6.689583333333333, 6.992361111111111, 7.365972222222222, 7.545138888888889, 7.973541666666667, 8.244930555555555, 8.674305555555556, 9.369907407407407, 9.90962962962963, 10.074097222222223, 10.104930555555555, 10.546296296296296, 11.446527777777778, 12.299305555555556, 12.519930555555556, 13.60625, 15.863194444444444, 16.09523148148148, 17.34951388888889, 18.53611111111111, 20.013194444444444, 21.046296296296298, 21.897916666666667, 22.709027777777777 ], "time_since_last_event": [ 0.0, 0.14097222222222222, 0.03298611111111111, 0.40520833333333334, 0.13844907407407409, 0.052523148148148145, 0.3888888888888889, 0.34467592592592594, 0.35532407407407407, 0.9, 0.17685185185185184, 0.3127314814814815, 0.7381944444444445, 0.18819444444444444, 1.2998611111111111, 0.0973611111111111, 0.4840277777777778, 0.044444444444444446, 0.5888888888888889, 0.30277777777777776, 0.3736111111111111, 0.17916666666666667, 0.4284027777777778, 0.2713888888888889, 0.429375, 0.6956018518518519, 0.5397222222222222, 0.16446759259259258, 0.030833333333333334, 0.44136574074074075, 0.9002314814814815, 0.8527777777777777, 0.220625, 1.0863194444444444, 2.2569444444444446, 0.23203703703703704, 1.2542824074074075, 1.1865972222222223, 1.4770833333333333, 1.0331018518518518, 0.8516203703703704, 0.8111111111111111 ], "type_event": [ 6, 6, 6, 0, 0, 9, 7, 7, 7, 0, 6, 9, 0, 0, 8, 8, 4, 6, 6, 0, 6, 9, 7, 7, 0, 9, 0, 0, 7, 7, 4, 6, 1, 9, 8, 8, 6, 0, 9, 7, 10, 7 ], "type_text": [ "Criminal Damage", "Criminal Damage", "Criminal Damage", "Theft", "Theft", "Assault", "Battery", "Battery", "Battery", "Theft", "Criminal Damage", "Assault", "Theft", "Theft", "Other Offense", "Other Offense", "Motor Vehicle Theft", "Criminal Damage", "Criminal Damage", "Theft", "Criminal Damage", "Assault", "Battery", "Battery", "Theft", "Assault", "Theft", "Theft", "Battery", "Battery", "Motor Vehicle Theft", "Criminal Damage", "Weapons Violation", "Assault", "Other Offense", "Other Offense", "Criminal Damage", "Theft", "Assault", "Battery", "Burglary", "Battery" ], "description": "The sequence of crime incidents shows a pattern where Criminal Damage events occur frequently in the early months, followed by a shift towards Theft and Assault incidents as time progresses. Battery incidents begin to appear around the one-month mark and continue to occur intermittently throughout the timeline. Other Offenses and Motor Vehicle Theft are noted later in the sequence, indicating a clustering of certain crime types in specific periods. Overall, there is a noticeable transition from property-related crimes to violent offenses as the timeline advances." }, { "dim_process": 20, "seq_idx": 375, "seq_len": 42, "time_since_start": [ 0.0, 0.15625, 1.5631944444444446, 2.4256944444444444, 4.3014120370370375, 4.42837962962963, 4.927083333333333, 5.202569444444444, 5.360416666666667, 6.344791666666667, 7.215601851851852, 8.842361111111112, 9.090347222222222, 9.092361111111112, 9.193888888888889, 9.258148148148148, 10.877083333333333, 10.907638888888888, 11.290740740740741, 11.465972222222222, 12.020138888888889, 12.311805555555555, 12.453287037037038, 12.620138888888889, 12.85625, 14.303472222222222, 15.64236111111111, 15.658564814814815, 15.831712962962962, 17.227777777777778, 17.622916666666665, 17.62986111111111, 18.596296296296295, 18.80011574074074, 18.99652777777778, 19.86375, 19.94236111111111, 20.065578703703704, 20.209953703703704, 20.729861111111113, 21.986226851851853, 22.55 ], "time_since_last_event": [ 0.0, 0.15625, 1.4069444444444446, 0.8625, 1.8757175925925926, 0.1269675925925926, 0.4987037037037037, 0.2754861111111111, 0.15784722222222222, 0.984375, 0.8708101851851852, 1.6267592592592592, 0.2479861111111111, 0.002013888888888889, 0.10152777777777777, 0.06425925925925927, 1.6189351851851852, 0.030555555555555555, 0.38310185185185186, 0.1752314814814815, 0.5541666666666667, 0.2916666666666667, 0.14148148148148149, 0.16685185185185186, 0.2361111111111111, 1.4472222222222222, 1.3388888888888888, 0.016203703703703703, 0.17314814814814813, 1.396064814814815, 0.3951388888888889, 0.006944444444444444, 0.9664351851851852, 0.20381944444444444, 0.19641203703703702, 0.8672222222222222, 0.07861111111111112, 0.12321759259259259, 0.144375, 0.5199074074074074, 1.2563657407407407, 0.5637731481481482 ], "type_event": [ 10, 0, 0, 3, 8, 5, 3, 8, 7, 6, 0, 3, 8, 8, 4, 9, 0, 0, 7, 6, 6, 4, 4, 10, 0, 6, 0, 0, 0, 0, 0, 0, 7, 4, 10, 8, 3, 8, 6, 8, 11, 11 ], "type_text": [ "Burglary", "Theft", "Theft", "Deceptive Practice", "Other Offense", "Criminal Trespass", "Deceptive Practice", "Other Offense", "Battery", "Criminal Damage", "Theft", "Deceptive Practice", "Other Offense", "Other Offense", "Motor Vehicle Theft", "Assault", "Theft", "Theft", "Battery", "Criminal Damage", "Criminal Damage", "Motor Vehicle Theft", "Motor Vehicle Theft", "Burglary", "Theft", "Criminal Damage", "Theft", "Theft", "Theft", "Theft", "Theft", "Theft", "Battery", "Motor Vehicle Theft", "Burglary", "Other Offense", "Deceptive Practice", "Other Offense", "Criminal Damage", "Other Offense", "Robbery", "Robbery" ], "description": "The sequence of crime incidents shows an initial occurrence of burglary and theft, followed by a mix of other offenses and deceptive practices within the first few months. As time progresses, theft incidents become more frequent, particularly clustered around the 10 to 20-month mark, alongside a notable rise in criminal damage and motor vehicle theft. Towards the latter part of the timeline, there is a spike in robbery incidents, indicating a shift in the types of crimes reported. Overall, there is a pattern of increasing crime variety and frequency over time, with certain types of offenses, such as theft and criminal damage, appearing more prominently in the middle to later months." }, { "dim_process": 20, "seq_idx": 376, "seq_len": 46, "time_since_start": [ 0.0, 1.177824074074074, 2.2086805555555555, 2.6862268518518517, 4.030555555555556, 4.471597222222222, 7.300625, 8.148425925925926, 9.003125, 9.265625, 9.615185185185185, 9.741319444444445, 9.871875, 10.013935185185185, 10.778472222222222, 11.199652777777779, 12.398726851851851, 13.514236111111112, 13.797569444444445, 13.933935185185184, 14.076736111111112, 14.199305555555556, 15.132962962962964, 15.276736111111111, 16.156435185185185, 16.17127314814815, 16.382638888888888, 16.557986111111113, 16.573819444444446, 17.235069444444445, 18.19125, 18.533101851851853, 18.61284722222222, 18.845833333333335, 19.018981481481482, 19.036458333333332, 20.069814814814816, 20.691319444444446, 21.032291666666666, 21.87534722222222, 22.06423611111111, 22.10590277777778, 22.152430555555554, 22.23576388888889, 23.39759259259259, 23.525578703703705 ], "time_since_last_event": [ 0.0, 1.177824074074074, 1.0308564814814816, 0.4775462962962963, 1.3443287037037037, 0.44104166666666667, 2.8290277777777777, 0.8478009259259259, 0.8546990740740741, 0.2625, 0.34956018518518517, 0.12613425925925925, 0.13055555555555556, 0.14206018518518518, 0.764537037037037, 0.42118055555555556, 1.1990740740740742, 1.1155092592592593, 0.2833333333333333, 0.13636574074074073, 0.14280092592592591, 0.12256944444444444, 0.9336574074074074, 0.14377314814814815, 0.8796990740740741, 0.014837962962962963, 0.21136574074074074, 0.1753472222222222, 0.015833333333333335, 0.66125, 0.9561805555555556, 0.34185185185185185, 0.07974537037037037, 0.23298611111111112, 0.17314814814814813, 0.01747685185185185, 1.0333564814814815, 0.6215046296296296, 0.34097222222222223, 0.8430555555555556, 0.18888888888888888, 0.041666666666666664, 0.04652777777777778, 0.08333333333333333, 1.1618287037037036, 0.1279861111111111 ], "type_event": [ 0, 11, 4, 4, 4, 1, 11, 6, 19, 4, 6, 9, 11, 7, 11, 9, 9, 4, 4, 1, 3, 11, 9, 3, 7, 1, 11, 6, 1, 0, 0, 19, 4, 1, 11, 4, 1, 7, 0, 4, 4, 8, 0, 3, 11, 9 ], "type_text": [ "Theft", "Robbery", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Weapons Violation", "Robbery", "Criminal Damage", "Homicide", "Motor Vehicle Theft", "Criminal Damage", "Assault", "Robbery", "Battery", "Robbery", "Assault", "Assault", "Motor Vehicle Theft", "Motor Vehicle Theft", "Weapons Violation", "Deceptive Practice", "Robbery", "Assault", "Deceptive Practice", "Battery", "Weapons Violation", "Robbery", "Criminal Damage", "Weapons Violation", "Theft", "Theft", "Homicide", "Motor Vehicle Theft", "Weapons Violation", "Robbery", "Motor Vehicle Theft", "Weapons Violation", "Battery", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Other Offense", "Theft", "Deceptive Practice", "Robbery", "Assault" ], "description": "The sequence of crime incidents shows a progression of various crime types over time, with notable clusters of specific offenses. Theft and robbery incidents appear relatively early in the timeline, while motor vehicle thefts increase significantly in frequency as the timeline progresses. Homicides are reported at distinct points, with two occurrences occurring several months apart. Weapons violations also appear frequently, particularly in the later months, indicating a trend towards more serious offenses as time advances. Overall, there is a noticeable increase in the variety and frequency of crimes as the timeline progresses, particularly in the latter half of the sequence." }, { "dim_process": 20, "seq_idx": 377, "seq_len": 72, "time_since_start": [ 0.0, 0.037800925925925925, 0.18351851851851853, 0.21256944444444445, 0.46976851851851853, 0.606550925925926, 1.3774074074074074, 1.503425925925926, 2.1972916666666666, 2.8088657407407407, 3.647060185185185, 3.842037037037037, 3.9436574074074073, 4.142430555555555, 4.182013888888889, 4.394513888888889, 4.932546296296296, 5.812569444444445, 6.135532407407408, 6.153078703703704, 6.155601851851852, 6.173680555555555, 7.444976851851852, 8.054930555555556, 8.159560185185185, 8.164074074074074, 8.174768518518519, 8.655092592592593, 9.086087962962964, 9.329699074074075, 9.375185185185185, 9.430625, 9.464513888888888, 9.640023148148147, 9.87111111111111, 9.883425925925925, 10.001574074074075, 10.613958333333333, 10.645208333333333, 10.840347222222222, 11.080972222222222, 11.765277777777778, 12.068819444444445, 12.06900462962963, 15.370439814814814, 15.441041666666667, 15.927152777777778, 16.44300925925926, 16.665578703703705, 17.247291666666666, 17.34023148148148, 17.43375, 17.497291666666666, 18.205625, 18.81222222222222, 18.940347222222222, 19.57090277777778, 19.856666666666666, 19.98099537037037, 20.07923611111111, 21.068125, 21.128310185185185, 21.250092592592594, 21.287569444444443, 21.409791666666667, 22.37090277777778, 22.483402777777776, 22.64150462962963, 22.800069444444443, 22.803194444444443, 22.84025462962963, 23.839305555555555 ], "time_since_last_event": [ 0.0, 0.037800925925925925, 0.1457175925925926, 0.029050925925925924, 0.25719907407407405, 0.1367824074074074, 0.7708564814814814, 0.12601851851851853, 0.6938657407407407, 0.611574074074074, 0.8381944444444445, 0.19497685185185185, 0.10162037037037037, 0.19877314814814814, 0.03958333333333333, 0.2125, 0.5380324074074074, 0.8800231481481482, 0.32296296296296295, 0.017546296296296296, 0.002523148148148148, 0.018078703703703704, 1.2712962962962964, 0.6099537037037037, 0.10462962962962963, 0.0045138888888888885, 0.010694444444444444, 0.48032407407407407, 0.4309953703703704, 0.2436111111111111, 0.04548611111111111, 0.05543981481481482, 0.03388888888888889, 0.17550925925925925, 0.23108796296296297, 0.012314814814814815, 0.11814814814814815, 0.6123842592592592, 0.03125, 0.1951388888888889, 0.240625, 0.6843055555555555, 0.30354166666666665, 0.00018518518518518518, 3.301435185185185, 0.07060185185185185, 0.4861111111111111, 0.5158564814814814, 0.22256944444444443, 0.5817129629629629, 0.09293981481481481, 0.09351851851851851, 0.06354166666666666, 0.7083333333333334, 0.6065972222222222, 0.128125, 0.6305555555555555, 0.2857638888888889, 0.1243287037037037, 0.09824074074074074, 0.9888888888888889, 0.06018518518518518, 0.12178240740740741, 0.03747685185185185, 0.12222222222222222, 0.9611111111111111, 0.1125, 0.15810185185185185, 0.15856481481481483, 0.003125, 0.03706018518518518, 0.9990509259259259 ], "type_event": [ 4, 4, 9, 0, 11, 11, 1, 7, 4, 9, 4, 11, 9, 7, 8, 7, 7, 7, 16, 9, 11, 4, 6, 11, 7, 4, 7, 6, 11, 11, 1, 0, 7, 9, 1, 4, 1, 4, 4, 11, 7, 9, 7, 7, 7, 9, 8, 9, 4, 0, 6, 6, 4, 4, 0, 4, 0, 6, 1, 7, 0, 0, 10, 7, 3, 0, 4, 11, 4, 7, 11, 4 ], "type_text": [ "Motor Vehicle Theft", "Motor Vehicle Theft", "Assault", "Theft", "Robbery", "Robbery", "Weapons Violation", "Battery", "Motor Vehicle Theft", "Assault", "Motor Vehicle Theft", "Robbery", "Assault", "Battery", "Other Offense", "Battery", "Battery", "Battery", "Narcotics", "Assault", "Robbery", "Motor Vehicle Theft", "Criminal Damage", "Robbery", "Battery", "Motor Vehicle Theft", "Battery", "Criminal Damage", "Robbery", "Robbery", "Weapons Violation", "Theft", "Battery", "Assault", "Weapons Violation", "Motor Vehicle Theft", "Weapons Violation", "Motor Vehicle Theft", "Motor Vehicle Theft", "Robbery", "Battery", "Assault", "Battery", "Battery", "Battery", "Assault", "Other Offense", "Assault", "Motor Vehicle Theft", "Theft", "Criminal Damage", "Criminal Damage", "Motor Vehicle Theft", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Theft", "Criminal Damage", "Weapons Violation", "Battery", "Theft", "Theft", "Burglary", "Battery", "Deceptive Practice", "Theft", "Motor Vehicle Theft", "Robbery", "Motor Vehicle Theft", "Battery", "Robbery", "Motor Vehicle Theft" ], "description": "The sequence of crime incidents shows a notable pattern of motor vehicle thefts occurring frequently throughout the timeline, particularly in the earlier months and again in later months. Assaults and batteries are concentrated in the middle of the timeline, with several incidents clustered closely together. Robberies appear intermittently, with some clustering in the later months. Other offenses, such as weapons violations and criminal damage, also show up at various points, but the majority of incidents tend to be concentrated around specific periods, indicating potential spikes in certain crime types." }, { "dim_process": 20, "seq_idx": 378, "seq_len": 60, "time_since_start": [ 0.0, 0.028958333333333332, 0.3674537037037037, 0.7150694444444444, 1.5525694444444444, 2.6686111111111113, 4.393287037037037, 4.406527777777778, 4.788333333333333, 5.061597222222222, 5.443472222222222, 6.626412037037037, 7.03474537037037, 7.296666666666667, 7.3676157407407405, 7.795949074074074, 8.587754629629629, 8.938217592592592, 9.042916666666667, 9.899097222222222, 10.264143518518518, 10.328958333333333, 10.460208333333334, 10.50349537037037, 10.548055555555555, 10.897708333333334, 11.094027777777777, 11.202291666666667, 11.541458333333333, 11.84763888888889, 11.942847222222222, 11.958125, 11.988680555555556, 12.309513888888889, 12.529652777777779, 12.640069444444444, 13.379074074074074, 13.504305555555556, 13.506736111111111, 13.518611111111111, 14.237291666666666, 14.564791666666666, 14.701180555555556, 14.747592592592593, 14.861666666666666, 15.475717592592593, 16.394583333333333, 16.498402777777777, 17.910208333333333, 17.997523148148147, 18.707083333333333, 18.859166666666667, 19.139537037037037, 19.26814814814815, 21.07849537037037, 21.389375, 21.685277777777777, 22.127569444444443, 22.631944444444443, 23.670347222222222 ], "time_since_last_event": [ 0.0, 0.028958333333333332, 0.33849537037037036, 0.34761574074074075, 0.8375, 1.1160416666666666, 1.724675925925926, 0.01324074074074074, 0.38180555555555556, 0.27326388888888886, 0.381875, 1.182939814814815, 0.4083333333333333, 0.2619212962962963, 0.07094907407407407, 0.42833333333333334, 0.7918055555555555, 0.350462962962963, 0.10469907407407407, 0.8561805555555555, 0.3650462962962963, 0.06481481481481481, 0.13125, 0.043287037037037034, 0.04456018518518518, 0.34965277777777776, 0.19631944444444444, 0.1082638888888889, 0.33916666666666667, 0.30618055555555557, 0.09520833333333334, 0.015277777777777777, 0.030555555555555555, 0.32083333333333336, 0.22013888888888888, 0.11041666666666666, 0.7390046296296297, 0.12523148148148147, 0.0024305555555555556, 0.011875, 0.7186805555555555, 0.3275, 0.1363888888888889, 0.046412037037037036, 0.11407407407407408, 0.6140509259259259, 0.9188657407407408, 0.10381944444444445, 1.4118055555555555, 0.08731481481481482, 0.7095601851851852, 0.15208333333333332, 0.2803703703703704, 0.12861111111111112, 1.8103472222222223, 0.3108796296296296, 0.2959027777777778, 0.4422916666666667, 0.504375, 1.0384027777777778 ], "type_event": [ 3, 4, 9, 10, 0, 1, 10, 6, 0, 3, 0, 8, 11, 0, 1, 11, 16, 4, 4, 0, 0, 9, 4, 9, 7, 6, 9, 7, 7, 7, 10, 7, 6, 7, 0, 6, 14, 8, 0, 8, 9, 9, 4, 0, 1, 11, 16, 7, 6, 1, 11, 0, 16, 16, 11, 7, 12, 4, 8, 4 ], "type_text": [ "Deceptive Practice", "Motor Vehicle Theft", "Assault", "Burglary", "Theft", "Weapons Violation", "Burglary", "Criminal Damage", "Theft", "Deceptive Practice", "Theft", "Other Offense", "Robbery", "Theft", "Weapons Violation", "Robbery", "Narcotics", "Motor Vehicle Theft", "Motor Vehicle Theft", "Theft", "Theft", "Assault", "Motor Vehicle Theft", "Assault", "Battery", "Criminal Damage", "Assault", "Battery", "Battery", "Battery", "Burglary", "Battery", "Criminal Damage", "Battery", "Theft", "Criminal Damage", "Criminal Sexual Assault", "Other Offense", "Theft", "Other Offense", "Assault", "Assault", "Motor Vehicle Theft", "Theft", "Weapons Violation", "Robbery", "Narcotics", "Battery", "Criminal Damage", "Weapons Violation", "Robbery", "Theft", "Narcotics", "Narcotics", "Robbery", "Battery", "Arson", "Motor Vehicle Theft", "Other Offense", "Motor Vehicle Theft" ], "description": "The sequence of crime incidents begins with deceptive practices and motor vehicle theft occurring in the initial months, followed by a gradual increase in various crime types such as assault, burglary, and theft over the next several months. Notably, there is a clustering of theft-related incidents around the 7 to 12-month mark, with several assaults and batteries also reported during this period. As the timeline progresses, motor vehicle thefts appear more frequently, particularly in the later months, while violent crimes like robbery and narcotics offenses emerge intermittently. The sequence culminates with a notable spike in motor vehicle thefts and other offenses in the final months of the timeline." }, { "dim_process": 20, "seq_idx": 379, "seq_len": 73, "time_since_start": [ 0.0, 0.018055555555555554, 0.25833333333333336, 0.47118055555555555, 0.5638888888888889, 0.6923611111111111, 1.382638888888889, 1.4972222222222222, 1.7935185185185185, 2.9611342592592593, 3.005023148148148, 3.2708333333333335, 3.9288194444444446, 4.3, 4.333101851851852, 4.870138888888889, 5.163379629629629, 5.271087962962963, 5.878472222222222, 6.027777777777778, 6.116666666666666, 7.683217592592593, 7.773611111111111, 7.7756944444444445, 8.145833333333334, 8.425, 8.83363425925926, 8.833981481481482, 9.352546296296296, 9.647638888888888, 9.650347222222223, 9.727430555555555, 10.588888888888889, 10.843518518518518, 11.466666666666667, 11.788541666666667, 12.1625, 12.346805555555555, 12.384837962962964, 12.415277777777778, 12.427777777777777, 13.4875, 13.971898148148147, 13.982152777777777, 14.290740740740741, 14.838194444444444, 14.963425925925925, 15.066689814814815, 15.126967592592592, 15.136481481481482, 15.284953703703703, 15.450023148148148, 16.518055555555556, 16.61863425925926, 16.910416666666666, 17.292361111111113, 18.280555555555555, 18.378958333333333, 18.380555555555556, 18.45085648148148, 18.46763888888889, 18.4875, 18.524421296296296, 18.597916666666666, 19.3, 19.371180555555554, 20.872152777777778, 21.001574074074075, 21.034861111111113, 21.18402777777778, 21.266666666666666, 21.46997685185185, 21.86828703703704 ], "time_since_last_event": [ 0.0, 0.018055555555555554, 0.24027777777777778, 0.21284722222222222, 0.09270833333333334, 0.1284722222222222, 0.6902777777777778, 0.11458333333333333, 0.2962962962962963, 1.1676157407407408, 0.04388888888888889, 0.2658101851851852, 0.6579861111111112, 0.37118055555555557, 0.033101851851851855, 0.5370370370370371, 0.29324074074074075, 0.10770833333333334, 0.6073842592592592, 0.14930555555555555, 0.08888888888888889, 1.5665509259259258, 0.09039351851851851, 0.0020833333333333333, 0.3701388888888889, 0.2791666666666667, 0.4086342592592593, 0.00034722222222222224, 0.5185648148148149, 0.2950925925925926, 0.0027083333333333334, 0.07708333333333334, 0.8614583333333333, 0.25462962962962965, 0.6231481481481481, 0.321875, 0.37395833333333334, 0.18430555555555556, 0.03803240740740741, 0.030439814814814815, 0.0125, 1.0597222222222222, 0.48439814814814813, 0.01025462962962963, 0.308587962962963, 0.5474537037037037, 0.12523148148148147, 0.10326388888888889, 0.06027777777777778, 0.00951388888888889, 0.14847222222222223, 0.16506944444444444, 1.0680324074074075, 0.1005787037037037, 0.2917824074074074, 0.3819444444444444, 0.9881944444444445, 0.09840277777777778, 0.0015972222222222223, 0.07030092592592592, 0.01678240740740741, 0.01986111111111111, 0.0369212962962963, 0.07349537037037036, 0.7020833333333333, 0.07118055555555555, 1.5009722222222222, 0.12942129629629628, 0.03328703703703704, 0.14916666666666667, 0.08263888888888889, 0.20331018518518518, 0.3983101851851852 ], "type_event": [ 8, 8, 6, 1, 7, 7, 8, 7, 7, 6, 7, 7, 9, 0, 6, 13, 9, 6, 7, 10, 7, 7, 9, 7, 9, 4, 9, 9, 6, 7, 6, 9, 3, 7, 2, 0, 4, 9, 15, 3, 4, 0, 7, 7, 7, 6, 13, 6, 1, 19, 3, 8, 0, 1, 9, 9, 4, 9, 4, 9, 7, 0, 6, 4, 6, 4, 7, 1, 9, 7, 10, 7, 7 ], "type_text": [ "Other Offense", "Other Offense", "Criminal Damage", "Weapons Violation", "Battery", "Battery", "Other Offense", "Battery", "Battery", "Criminal Damage", "Battery", "Battery", "Assault", "Theft", "Criminal Damage", "Offense Involving Children", "Assault", "Criminal Damage", "Battery", "Burglary", "Battery", "Battery", "Assault", "Battery", "Assault", "Motor Vehicle Theft", "Assault", "Assault", "Criminal Damage", "Battery", "Criminal Damage", "Assault", "Deceptive Practice", "Battery", "Sex Offense", "Theft", "Motor Vehicle Theft", "Assault", "Interference With Public Officer", "Deceptive Practice", "Motor Vehicle Theft", "Theft", "Battery", "Battery", "Battery", "Criminal Damage", "Offense Involving Children", "Criminal Damage", "Weapons Violation", "Homicide", "Deceptive Practice", "Other Offense", "Theft", "Weapons Violation", "Assault", "Assault", "Motor Vehicle Theft", "Assault", "Motor Vehicle Theft", "Assault", "Battery", "Theft", "Criminal Damage", "Motor Vehicle Theft", "Criminal Damage", "Motor Vehicle Theft", "Battery", "Weapons Violation", "Assault", "Battery", "Burglary", "Battery", "Battery" ], "description": "The sequence of crime incidents shows a diverse range of offenses occurring over time, with certain types of crimes clustering in specific periods. Initially, there is a mix of \"Other Offense\" and \"Criminal Damage,\" followed by a notable increase in \"Battery\" incidents that peak around the 8 to 12-month mark. \"Assault\" incidents become more frequent in the latter half of the timeline, particularly between 8 and 21 months. Additionally, \"Motor Vehicle Theft\" appears multiple times towards the end of the sequence, indicating a potential trend in that type of crime during the later months. Overall, the data suggests a fluctuating pattern of offenses, with certain crime types emerging more prominently at different stages." }, { "dim_process": 20, "seq_idx": 380, "seq_len": 35, "time_since_start": [ 0.0, 0.20810185185185184, 2.025, 3.1464351851851853, 3.359722222222222, 4.247222222222222, 4.322222222222222, 4.334722222222222, 5.8902777777777775, 7.25, 7.788657407407407, 8.08611111111111, 8.120833333333334, 9.79513888888889, 10.618541666666667, 10.621759259259258, 10.725, 11.159722222222221, 11.373425925925925, 11.506597222222222, 11.930555555555555, 12.422268518518518, 13.469074074074074, 14.48611111111111, 14.856342592592593, 15.280555555555555, 15.760462962962963, 16.594444444444445, 16.883333333333333, 17.126828703703705, 17.205324074074074, 17.448611111111113, 19.56212962962963, 20.131944444444443, 21.665277777777778 ], "time_since_last_event": [ 0.0, 0.20810185185185184, 1.816898148148148, 1.1214351851851851, 0.21328703703703702, 0.8875, 0.075, 0.0125, 1.5555555555555556, 1.3597222222222223, 0.5386574074074074, 0.2974537037037037, 0.034722222222222224, 1.6743055555555555, 0.8234027777777778, 0.0032175925925925926, 0.10324074074074074, 0.43472222222222223, 0.2137037037037037, 0.1331712962962963, 0.4239583333333333, 0.49171296296296296, 1.0468055555555555, 1.017037037037037, 0.3702314814814815, 0.42421296296296296, 0.4799074074074074, 0.8339814814814814, 0.28888888888888886, 0.24349537037037036, 0.07849537037037037, 0.24328703703703702, 2.1135185185185184, 0.5698148148148148, 1.5333333333333334 ], "type_event": [ 8, 7, 0, 0, 4, 8, 0, 8, 8, 4, 4, 7, 8, 4, 8, 8, 0, 7, 8, 0, 4, 8, 6, 7, 7, 6, 7, 10, 3, 7, 0, 8, 3, 13, 5 ], "type_text": [ "Other Offense", "Battery", "Theft", "Theft", "Motor Vehicle Theft", "Other Offense", "Theft", "Other Offense", "Other Offense", "Motor Vehicle Theft", "Motor Vehicle Theft", "Battery", "Other Offense", "Motor Vehicle Theft", "Other Offense", "Other Offense", "Theft", "Battery", "Other Offense", "Theft", "Motor Vehicle Theft", "Other Offense", "Criminal Damage", "Battery", "Battery", "Criminal Damage", "Battery", "Burglary", "Deceptive Practice", "Battery", "Theft", "Other Offense", "Deceptive Practice", "Offense Involving Children", "Criminal Trespass" ], "description": "The sequence of crime incidents shows a variety of offenses occurring over time, with certain types of crimes appearing more frequently in specific periods. Initially, there are a few incidents of \"Other Offense\" and \"Battery,\" followed by a rise in \"Theft\" and \"Motor Vehicle Theft\" around the third to seventh months. As time progresses, there is a noticeable increase in \"Battery\" incidents and the introduction of \"Burglary\" and \"Deceptive Practice\" towards the later months. The sequence indicates clustering of certain offenses, particularly \"Battery\" and \"Other Offense,\" in the latter part of the timeline, while \"Motor Vehicle Theft\" appears prominently in the mid-range months." }, { "dim_process": 20, "seq_idx": 381, "seq_len": 40, "time_since_start": [ 0.0, 1.0631944444444446, 1.6371527777777777, 1.9819444444444445, 2.1844907407407406, 2.8653935185185184, 3.9616435185185184, 3.990810185185185, 4.25261574074074, 5.228472222222222, 5.559722222222222, 6.909722222222222, 8.163518518518519, 8.395833333333334, 9.015277777777778, 9.252777777777778, 10.432175925925925, 10.834027777777777, 11.113425925925926, 11.275810185185184, 11.565208333333333, 11.825, 12.733333333333333, 13.072916666666666, 14.818055555555556, 14.980555555555556, 15.693055555555556, 16.629166666666666, 17.04861111111111, 17.293310185185184, 17.959375, 18.059722222222224, 18.08888888888889, 19.06226851851852, 19.551967592592593, 20.67912037037037, 22.009722222222223, 22.15972222222222, 22.690277777777776, 23.531944444444445 ], "time_since_last_event": [ 0.0, 1.0631944444444446, 0.5739583333333333, 0.34479166666666666, 0.2025462962962963, 0.6809027777777777, 1.09625, 0.029166666666666667, 0.26180555555555557, 0.9758564814814815, 0.33125, 1.35, 1.2537962962962963, 0.2323148148148148, 0.6194444444444445, 0.2375, 1.1793981481481481, 0.40185185185185185, 0.2793981481481482, 0.16238425925925926, 0.2893981481481481, 0.25979166666666664, 0.9083333333333333, 0.33958333333333335, 1.7451388888888888, 0.1625, 0.7125, 0.9361111111111111, 0.41944444444444445, 0.24469907407407407, 0.6660648148148148, 0.10034722222222223, 0.029166666666666667, 0.9733796296296297, 0.4896990740740741, 1.1271527777777777, 1.3306018518518519, 0.15, 0.5305555555555556, 0.8416666666666667 ], "type_event": [ 0, 10, 11, 4, 12, 11, 6, 1, 7, 9, 7, 6, 7, 11, 6, 6, 7, 10, 0, 7, 7, 0, 0, 0, 0, 10, 6, 7, 9, 1, 4, 4, 9, 7, 9, 8, 0, 7, 0, 6 ], "type_text": [ "Theft", "Burglary", "Robbery", "Motor Vehicle Theft", "Arson", "Robbery", "Criminal Damage", "Weapons Violation", "Battery", "Assault", "Battery", "Criminal Damage", "Battery", "Robbery", "Criminal Damage", "Criminal Damage", "Battery", "Burglary", "Theft", "Battery", "Battery", "Theft", "Theft", "Theft", "Theft", "Burglary", "Criminal Damage", "Battery", "Assault", "Weapons Violation", "Motor Vehicle Theft", "Motor Vehicle Theft", "Assault", "Battery", "Assault", "Other Offense", "Theft", "Battery", "Theft", "Criminal Damage" ], "description": "The sequence of crime incidents shows a progression of various crime types over time, with notable clusters of specific offenses. Initially, theft and burglary incidents occur relatively early, followed by a mix of robbery and motor vehicle theft. As time advances, there is a noticeable increase in battery and assault incidents, particularly around the 5 to 19-month mark. Criminal damage incidents appear intermittently throughout the timeline, while theft remains a recurring offense, especially in the later months. Overall, the data suggests a trend of escalating violence with a consistent presence of theft-related crimes." }, { "dim_process": 20, "seq_idx": 382, "seq_len": 30, "time_since_start": [ 0.0, 0.7770833333333333, 2.1847222222222222, 3.5909722222222222, 6.852777777777778, 7.819444444444445, 10.138425925925926, 11.4125, 11.458333333333334, 11.57638888888889, 11.622800925925926, 11.873611111111112, 13.677777777777777, 14.22638888888889, 14.454166666666667, 14.636388888888888, 16.09722222222222, 16.731712962962963, 17.17224537037037, 17.604074074074074, 17.80462962962963, 18.076689814814817, 18.244444444444444, 19.09409722222222, 19.31388888888889, 19.624305555555555, 21.083333333333332, 21.13125, 21.139583333333334, 23.1875 ], "time_since_last_event": [ 0.0, 0.7770833333333333, 1.4076388888888889, 1.40625, 3.2618055555555556, 0.9666666666666667, 2.3189814814814813, 1.2740740740740741, 0.04583333333333333, 0.11805555555555555, 0.046412037037037036, 0.25081018518518516, 1.8041666666666667, 0.5486111111111112, 0.22777777777777777, 0.18222222222222223, 1.4608333333333334, 0.6344907407407407, 0.4405324074074074, 0.4318287037037037, 0.20055555555555554, 0.2720601851851852, 0.16775462962962964, 0.8496527777777778, 0.21979166666666666, 0.3104166666666667, 1.4590277777777778, 0.04791666666666667, 0.008333333333333333, 2.0479166666666666 ], "type_event": [ 7, 7, 5, 6, 4, 7, 11, 4, 6, 8, 8, 8, 4, 9, 6, 8, 0, 9, 6, 8, 7, 19, 6, 4, 0, 9, 4, 0, 4, 3 ], "type_text": [ "Battery", "Battery", "Criminal Trespass", "Criminal Damage", "Motor Vehicle Theft", "Battery", "Robbery", "Motor Vehicle Theft", "Criminal Damage", "Other Offense", "Other Offense", "Other Offense", "Motor Vehicle Theft", "Assault", "Criminal Damage", "Other Offense", "Theft", "Assault", "Criminal Damage", "Other Offense", "Battery", "Homicide", "Criminal Damage", "Motor Vehicle Theft", "Theft", "Assault", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Deceptive Practice" ], "description": "The sequence of crime incidents begins with multiple occurrences of Battery within the first few months, followed by a series of Criminal Trespass and Criminal Damage incidents. As time progresses, there is a notable increase in Motor Vehicle Theft incidents, which cluster around the later months. Other offenses, including Assault and Theft, appear intermittently, with a peak of various crime types occurring around the 11 to 19-month mark. The sequence culminates with a Homicide incident, followed by additional Motor Vehicle Theft and Theft events." }, { "dim_process": 20, "seq_idx": 383, "seq_len": 33, "time_since_start": [ 0.0, 0.05416666666666667, 2.7440972222222224, 2.843634259259259, 3.951875, 8.290625, 8.423958333333333, 8.436458333333333, 8.907291666666667, 9.547569444444445, 9.676041666666666, 10.21, 10.344791666666667, 10.712152777777778, 12.003125, 12.252430555555556, 14.136805555555556, 15.012731481481481, 15.777430555555556, 16.046180555555555, 16.090625, 16.775347222222223, 18.390625, 19.119791666666668, 19.12472222222222, 19.457291666666666, 20.63921296296296, 21.328125, 21.426967592592593, 21.945486111111112, 22.78476851851852, 22.975347222222222, 23.144328703703703 ], "time_since_last_event": [ 0.0, 0.05416666666666667, 2.6899305555555557, 0.09953703703703703, 1.1082407407407406, 4.33875, 0.13333333333333333, 0.0125, 0.4708333333333333, 0.6402777777777777, 0.1284722222222222, 0.5339583333333333, 0.13479166666666667, 0.36736111111111114, 1.2909722222222222, 0.24930555555555556, 1.884375, 0.8759259259259259, 0.7646990740740741, 0.26875, 0.044444444444444446, 0.6847222222222222, 1.6152777777777778, 0.7291666666666666, 0.004930555555555555, 0.3325694444444444, 1.1819212962962964, 0.6889120370370371, 0.09884259259259259, 0.5185185185185185, 0.8392824074074074, 0.1905787037037037, 0.16898148148148148 ], "type_event": [ 0, 11, 0, 11, 0, 0, 0, 3, 4, 4, 0, 4, 4, 9, 3, 11, 7, 0, 4, 0, 4, 4, 4, 4, 4, 4, 9, 4, 8, 4, 9, 0, 0 ], "type_text": [ "Theft", "Robbery", "Theft", "Robbery", "Theft", "Theft", "Theft", "Deceptive Practice", "Motor Vehicle Theft", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Assault", "Deceptive Practice", "Robbery", "Battery", "Theft", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Assault", "Motor Vehicle Theft", "Other Offense", "Motor Vehicle Theft", "Assault", "Theft", "Theft" ], "description": "The sequence of crime incidents shows an initial occurrence of theft and robbery within the first few months, followed by a mix of theft and robbery incidents clustered around the 2 to 3-month mark. A notable increase in theft incidents appears around the 8-month mark, which is accompanied by a rise in motor vehicle thefts starting around the 9-month mark and continuing through the following months. Assaults appear later in the sequence, around the 10 to 22-month period, while deceptive practices are reported intermittently. Overall, motor vehicle thefts dominate the latter part of the timeline, with multiple incidents occurring in close succession." }, { "dim_process": 20, "seq_idx": 384, "seq_len": 35, "time_since_start": [ 0.0, 3.765810185185185, 4.970023148148148, 5.012337962962963, 5.132546296296296, 5.465115740740741, 5.8491435185185185, 6.404699074074074, 6.42425925925926, 6.569976851851852, 7.73212962962963, 8.219791666666667, 8.545810185185186, 8.796365740740741, 9.40886574074074, 9.566782407407407, 10.445277777777777, 11.108726851851852, 11.550532407407408, 11.67275462962963, 11.816365740740741, 13.080532407407407, 14.929236111111111, 16.74659722222222, 16.94497685185185, 17.04625, 17.374837962962964, 17.90886574074074, 18.27983796296296, 19.31050925925926, 19.532962962962962, 19.880185185185184, 19.981828703703705, 20.278310185185184, 20.507199074074073 ], "time_since_last_event": [ 0.0, 3.765810185185185, 1.204212962962963, 0.04231481481481481, 0.12020833333333333, 0.3325694444444444, 0.3840277777777778, 0.5555555555555556, 0.019560185185185184, 0.1457175925925926, 1.1621527777777778, 0.48766203703703703, 0.32601851851851854, 0.25055555555555553, 0.6125, 0.15791666666666668, 0.8784953703703704, 0.663449074074074, 0.44180555555555556, 0.12222222222222222, 0.1436111111111111, 1.2641666666666667, 1.8487037037037037, 1.8173611111111112, 0.19837962962962963, 0.10127314814814815, 0.32858796296296294, 0.5340277777777778, 0.3709722222222222, 1.0306712962962963, 0.2224537037037037, 0.3472222222222222, 0.10164351851851852, 0.29648148148148146, 0.2288888888888889 ], "type_event": [ 8, 7, 1, 7, 8, 9, 4, 8, 10, 0, 8, 3, 1, 4, 4, 3, 4, 11, 4, 9, 4, 16, 8, 5, 0, 5, 4, 4, 5, 19, 8, 5, 0, 10, 5 ], "type_text": [ "Other Offense", "Battery", "Weapons Violation", "Battery", "Other Offense", "Assault", "Motor Vehicle Theft", "Other Offense", "Burglary", "Theft", "Other Offense", "Deceptive Practice", "Weapons Violation", "Motor Vehicle Theft", "Motor Vehicle Theft", "Deceptive Practice", "Motor Vehicle Theft", "Robbery", "Motor Vehicle Theft", "Assault", "Motor Vehicle Theft", "Narcotics", "Other Offense", "Criminal Trespass", "Theft", "Criminal Trespass", "Motor Vehicle Theft", "Motor Vehicle Theft", "Criminal Trespass", "Homicide", "Other Offense", "Criminal Trespass", "Theft", "Burglary", "Criminal Trespass" ], "description": "The sequence of crime incidents begins with a variety of offenses, including \"Other Offense\" and \"Battery,\" occurring within the first few months. As time progresses, there is a noticeable increase in incidents related to \"Motor Vehicle Theft,\" which clusters around the 5 to 12-month mark. Following this peak, \"Criminal Trespass\" and \"Theft\" incidents become more prominent in the latter months, alongside a significant event of \"Homicide.\" Overall, the data shows an initial diversity in crime types that later shifts towards specific categories, particularly motor vehicle-related crimes, before transitioning to a focus on trespassing and theft." }, { "dim_process": 20, "seq_idx": 385, "seq_len": 80, "time_since_start": [ 0.0, 0.05555555555555555, 0.14583333333333334, 0.6261574074074074, 0.6268518518518519, 0.7930555555555555, 1.746412037037037, 1.8920138888888889, 1.924074074074074, 2.0770833333333334, 2.736111111111111, 2.845833333333333, 3.3243055555555556, 3.477777777777778, 3.4784722222222224, 3.8463425925925927, 3.907638888888889, 4.175347222222222, 4.4308101851851855, 4.743055555555555, 4.7555555555555555, 4.773634259259259, 5.958333333333333, 6.1506944444444445, 6.420138888888889, 7.1444675925925925, 7.473263888888889, 7.951504629629629, 7.995046296296296, 8.039027777777777, 8.08449074074074, 9.033981481481481, 9.060416666666667, 9.415277777777778, 9.50537037037037, 9.615277777777777, 10.0875, 10.854398148148148, 11.028819444444444, 11.105555555555556, 11.207337962962963, 11.490393518518518, 12.469444444444445, 13.304328703703703, 13.603912037037038, 13.865277777777777, 14.070694444444445, 14.192361111111111, 14.195324074074074, 14.467708333333333, 14.604398148148148, 14.903472222222222, 14.929166666666667, 15.037731481481481, 15.504166666666666, 15.692708333333334, 15.705555555555556, 15.738888888888889, 16.069907407407406, 16.231944444444444, 16.241527777777776, 16.543055555555554, 16.574467592592594, 16.97335648148148, 17.072916666666668, 17.20074074074074, 17.226666666666667, 17.469583333333333, 17.669444444444444, 17.677777777777777, 17.710486111111113, 17.827638888888888, 18.410671296296297, 18.741435185185185, 19.177800925925926, 19.36925925925926, 19.970833333333335, 21.14115740740741, 21.438310185185184, 22.09201388888889 ], "time_since_last_event": [ 0.0, 0.05555555555555555, 0.09027777777777778, 0.48032407407407407, 0.0006944444444444445, 0.16620370370370371, 0.9533564814814814, 0.14560185185185184, 0.032060185185185185, 0.15300925925925926, 0.6590277777777778, 0.10972222222222222, 0.47847222222222224, 0.15347222222222223, 0.0006944444444444445, 0.36787037037037035, 0.06129629629629629, 0.2677083333333333, 0.25546296296296295, 0.31224537037037037, 0.0125, 0.018078703703703704, 1.1846990740740742, 0.19236111111111112, 0.26944444444444443, 0.7243287037037037, 0.3287962962962963, 0.47824074074074074, 0.043541666666666666, 0.04398148148148148, 0.04546296296296296, 0.9494907407407407, 0.026435185185185187, 0.3548611111111111, 0.0900925925925926, 0.10990740740740741, 0.4722222222222222, 0.7668981481481482, 0.1744212962962963, 0.07673611111111112, 0.1017824074074074, 0.28305555555555556, 0.9790509259259259, 0.8348842592592592, 0.2995833333333333, 0.26136574074074076, 0.20541666666666666, 0.12166666666666667, 0.002962962962962963, 0.27238425925925924, 0.13668981481481482, 0.29907407407407405, 0.025694444444444443, 0.10856481481481481, 0.4664351851851852, 0.18854166666666666, 0.012847222222222222, 0.03333333333333333, 0.33101851851851855, 0.16203703703703703, 0.009583333333333333, 0.3015277777777778, 0.03141203703703704, 0.3988888888888889, 0.09956018518518518, 0.12782407407407406, 0.025925925925925925, 0.24291666666666667, 0.1998611111111111, 0.008333333333333333, 0.03270833333333333, 0.11715277777777777, 0.5830324074074074, 0.3307638888888889, 0.43636574074074075, 0.19145833333333334, 0.601574074074074, 1.1703240740740741, 0.29715277777777777, 0.6537037037037037 ], "type_event": [ 4, 8, 0, 6, 9, 0, 7, 11, 7, 7, 0, 13, 11, 9, 9, 8, 0, 6, 9, 11, 7, 1, 9, 7, 6, 0, 1, 7, 7, 1, 0, 7, 7, 5, 8, 5, 7, 0, 7, 4, 1, 7, 4, 7, 7, 8, 6, 0, 0, 9, 1, 9, 6, 0, 7, 6, 7, 7, 9, 4, 7, 7, 1, 1, 9, 7, 7, 9, 6, 6, 4, 1, 6, 1, 6, 9, 6, 1, 9, 6 ], "type_text": [ "Motor Vehicle Theft", "Other Offense", "Theft", "Criminal Damage", "Assault", "Theft", "Battery", "Robbery", "Battery", "Battery", "Theft", "Offense Involving Children", "Robbery", "Assault", "Assault", "Other Offense", "Theft", "Criminal Damage", "Assault", "Robbery", "Battery", "Weapons Violation", "Assault", "Battery", "Criminal Damage", "Theft", "Weapons Violation", "Battery", "Battery", "Weapons Violation", "Theft", "Battery", "Battery", "Criminal Trespass", "Other Offense", "Criminal Trespass", "Battery", "Theft", "Battery", "Motor Vehicle Theft", "Weapons Violation", "Battery", "Motor Vehicle Theft", "Battery", "Battery", "Other Offense", "Criminal Damage", "Theft", "Theft", "Assault", "Weapons Violation", "Assault", "Criminal Damage", "Theft", "Battery", "Criminal Damage", "Battery", "Battery", "Assault", "Motor Vehicle Theft", "Battery", "Battery", "Weapons Violation", "Weapons Violation", "Assault", "Battery", "Battery", "Assault", "Criminal Damage", "Criminal Damage", "Motor Vehicle Theft", "Weapons Violation", "Criminal Damage", "Weapons Violation", "Criminal Damage", "Assault", "Criminal Damage", "Weapons Violation", "Assault", "Criminal Damage" ], "description": "The sequence of crime incidents shows a pattern where various types of offenses occur over time, with certain crime types clustering in specific periods. Initially, incidents such as motor vehicle theft and other offenses are reported, followed by a mix of thefts and assaults. As time progresses, there is a noticeable increase in violent crimes, particularly batteries and assaults, occurring more frequently in the later months. Additionally, criminal damage and weapons violations appear to cluster in the latter part of the timeline, indicating a trend of escalating incidents towards the end of the observed period. Overall, the data reflects a gradual increase in the frequency and variety of crime types over time." }, { "dim_process": 20, "seq_idx": 386, "seq_len": 30, "time_since_start": [ 0.0, 0.22615740740740742, 0.6073842592592592, 1.9594675925925926, 1.9823842592592593, 2.519884259259259, 4.443842592592593, 4.495138888888889, 4.635439814814815, 4.839328703703703, 4.942800925925926, 7.275995370370371, 7.39488425925926, 7.460625, 7.8198842592592595, 8.624050925925927, 9.807384259259258, 10.600439814814814, 10.894884259259259, 11.274074074074074, 14.15287037037037, 14.74324074074074, 16.509328703703705, 16.89733796296296, 17.024050925925927, 17.135625, 18.537939814814816, 18.54349537037037, 19.27613425925926, 19.396273148148147 ], "time_since_last_event": [ 0.0, 0.22615740740740742, 0.38122685185185184, 1.3520833333333333, 0.022916666666666665, 0.5375, 1.9239583333333334, 0.0512962962962963, 0.1403009259259259, 0.2038888888888889, 0.10347222222222222, 2.3331944444444446, 0.11888888888888889, 0.06574074074074074, 0.3592592592592593, 0.8041666666666667, 1.1833333333333333, 0.7930555555555555, 0.29444444444444445, 0.37918981481481484, 2.8787962962962963, 0.5903703703703703, 1.7660879629629629, 0.3880092592592593, 0.12671296296296297, 0.11157407407407408, 1.4023148148148148, 0.005555555555555556, 0.7326388888888888, 0.12013888888888889 ], "type_event": [ 15, 13, 0, 7, 14, 10, 7, 6, 7, 6, 9, 1, 7, 7, 8, 0, 3, 8, 4, 8, 8, 6, 7, 7, 8, 8, 4, 4, 6, 4 ], "type_text": [ "Interference With Public Officer", "Offense Involving Children", "Theft", "Battery", "Criminal Sexual Assault", "Burglary", "Battery", "Criminal Damage", "Battery", "Criminal Damage", "Assault", "Weapons Violation", "Battery", "Battery", "Other Offense", "Theft", "Deceptive Practice", "Other Offense", "Motor Vehicle Theft", "Other Offense", "Other Offense", "Criminal Damage", "Battery", "Battery", "Other Offense", "Other Offense", "Motor Vehicle Theft", "Motor Vehicle Theft", "Criminal Damage", "Motor Vehicle Theft" ], "description": "The sequence of crime incidents shows an initial cluster of offenses involving interference with public officers and child-related offenses occurring early on. As time progresses, a variety of battery incidents emerge, with multiple occurrences clustered around the 4 to 7-month mark. The latter part of the timeline sees an increase in theft-related offenses and other types of crimes, particularly motor vehicle theft, which appears multiple times in the later months. Overall, the data indicates a trend of escalating crime types over time, with specific offenses becoming more prevalent as the timeline advances." }, { "dim_process": 20, "seq_idx": 387, "seq_len": 38, "time_since_start": [ 0.0, 1.679837962962963, 2.455277777777778, 2.6650694444444443, 3.7956944444444445, 4.716828703703704, 4.881064814814815, 4.975, 6.723819444444445, 7.280555555555556, 7.281134259259259, 7.3225694444444445, 7.587847222222222, 7.8491435185185185, 8.372430555555555, 8.47888888888889, 9.24201388888889, 9.666319444444444, 9.666319444444444, 10.276388888888889, 12.284375, 12.900347222222223, 13.792013888888889, 14.00175925925926, 14.343055555555555, 14.63349537037037, 14.714652777777777, 16.00604166666667, 16.481458333333332, 17.178356481481483, 17.535069444444446, 18.67238425925926, 20.032291666666666, 20.79340277777778, 20.805902777777778, 22.108680555555555, 23.05641203703704, 23.31284722222222 ], "time_since_last_event": [ 0.0, 1.679837962962963, 0.7754398148148148, 0.20979166666666665, 1.130625, 0.9211342592592593, 0.1642361111111111, 0.09393518518518519, 1.7488194444444445, 0.5567361111111111, 0.0005787037037037037, 0.041435185185185186, 0.2652777777777778, 0.2612962962962963, 0.523287037037037, 0.10645833333333334, 0.763125, 0.42430555555555555, 0.0, 0.6100694444444444, 2.0079861111111112, 0.6159722222222223, 0.8916666666666667, 0.20974537037037036, 0.3412962962962963, 0.2904398148148148, 0.08115740740740741, 1.291388888888889, 0.47541666666666665, 0.6968981481481481, 0.35671296296296295, 1.137314814814815, 1.3599074074074073, 0.7611111111111111, 0.0125, 1.3027777777777778, 0.9477314814814815, 0.2564351851851852 ], "type_event": [ 4, 9, 0, 6, 7, 1, 6, 9, 6, 6, 6, 7, 14, 1, 1, 8, 6, 7, 6, 4, 7, 6, 7, 1, 13, 0, 8, 1, 7, 6, 7, 7, 6, 7, 6, 6, 1, 0 ], "type_text": [ "Motor Vehicle Theft", "Assault", "Theft", "Criminal Damage", "Battery", "Weapons Violation", "Criminal Damage", "Assault", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Battery", "Criminal Sexual Assault", "Weapons Violation", "Weapons Violation", "Other Offense", "Criminal Damage", "Battery", "Criminal Damage", "Motor Vehicle Theft", "Battery", "Criminal Damage", "Battery", "Weapons Violation", "Offense Involving Children", "Theft", "Other Offense", "Weapons Violation", "Battery", "Criminal Damage", "Battery", "Battery", "Criminal Damage", "Battery", "Criminal Damage", "Criminal Damage", "Weapons Violation", "Theft" ], "description": "The sequence of crime incidents shows a progression of various crime types over time, with certain events clustering in specific periods. Initially, incidents such as motor vehicle theft and assault occur within the first few months, followed by a notable increase in criminal damage and battery incidents around the 6 to 10-month mark. As time progresses, weapons violations and thefts appear more frequently, particularly between the 14 to 23-month range, indicating a sustained presence of these offenses. Overall, the data reflects a pattern where criminal damage and battery incidents are prevalent throughout, with a gradual escalation in the variety of offenses over time." }, { "dim_process": 20, "seq_idx": 388, "seq_len": 54, "time_since_start": [ 0.0, 4.073148148148148, 4.0814814814814815, 4.750601851851852, 4.967222222222222, 5.999537037037037, 6.3106481481481485, 6.507407407407407, 6.852662037037037, 8.003541666666667, 8.552314814814816, 8.562731481481482, 8.635532407407407, 9.68287037037037, 9.812037037037037, 10.12037037037037, 10.37037037037037, 10.595231481481482, 11.335648148148149, 11.339189814814814, 11.572314814814815, 12.181481481481482, 13.263425925925926, 13.325, 13.41712962962963, 14.37625, 14.686921296296296, 15.14050925925926, 15.142939814814815, 15.169328703703703, 15.935648148148148, 16.606689814814814, 17.53287037037037, 17.79259259259259, 17.83564814814815, 18.628703703703703, 18.750925925925927, 18.992939814814815, 19.334305555555556, 20.177314814814814, 20.528425925925927, 20.67349537037037, 20.67800925925926, 20.77053240740741, 21.10787037037037, 21.14675925925926, 21.381481481481483, 21.657060185185184, 21.699537037037036, 21.75162037037037, 22.87886574074074, 23.316736111111112, 23.69351851851852, 24.168912037037035 ], "time_since_last_event": [ 0.0, 4.073148148148148, 0.008333333333333333, 0.6691203703703704, 0.21662037037037038, 1.032314814814815, 0.3111111111111111, 0.19675925925925927, 0.3452546296296296, 1.1508796296296295, 0.5487731481481481, 0.010416666666666666, 0.07280092592592592, 1.0473379629629629, 0.12916666666666668, 0.30833333333333335, 0.25, 0.22486111111111112, 0.7404166666666666, 0.0035416666666666665, 0.233125, 0.6091666666666666, 1.0819444444444444, 0.06157407407407407, 0.09212962962962963, 0.9591203703703703, 0.3106712962962963, 0.45358796296296294, 0.0024305555555555556, 0.02638888888888889, 0.7663194444444444, 0.6710416666666666, 0.9261805555555556, 0.25972222222222224, 0.043055555555555555, 0.7930555555555555, 0.12222222222222222, 0.2420138888888889, 0.3413657407407407, 0.8430092592592593, 0.3511111111111111, 0.14506944444444445, 0.0045138888888888885, 0.09252314814814815, 0.337337962962963, 0.03888888888888889, 0.23472222222222222, 0.2755787037037037, 0.04247685185185185, 0.052083333333333336, 1.1272453703703704, 0.43787037037037035, 0.3767824074074074, 0.4753935185185185 ], "type_event": [ 6, 6, 6, 1, 0, 6, 7, 3, 7, 5, 7, 7, 8, 7, 0, 0, 6, 9, 7, 6, 0, 0, 0, 7, 7, 6, 6, 6, 6, 9, 0, 8, 8, 7, 6, 0, 7, 8, 13, 7, 8, 16, 10, 8, 9, 12, 6, 9, 3, 7, 9, 1, 6, 9 ], "type_text": [ "Criminal Damage", "Criminal Damage", "Criminal Damage", "Weapons Violation", "Theft", "Criminal Damage", "Battery", "Deceptive Practice", "Battery", "Criminal Trespass", "Battery", "Battery", "Other Offense", "Battery", "Theft", "Theft", "Criminal Damage", "Assault", "Battery", "Criminal Damage", "Theft", "Theft", "Theft", "Battery", "Battery", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Assault", "Theft", "Other Offense", "Other Offense", "Battery", "Criminal Damage", "Theft", "Battery", "Other Offense", "Offense Involving Children", "Battery", "Other Offense", "Narcotics", "Burglary", "Other Offense", "Assault", "Arson", "Criminal Damage", "Assault", "Deceptive Practice", "Battery", "Assault", "Weapons Violation", "Criminal Damage", "Assault" ], "description": "The sequence of crime incidents begins with a series of Criminal Damage events occurring early on, followed by a mix of offenses such as Theft and Battery that emerge around the midpoint. As time progresses, there is a noticeable increase in Battery incidents, particularly clustered in the later months. Other offenses, including Assault and various types of property crimes, also appear throughout the timeline, with Criminal Damage remaining a recurring event throughout the sequence. Overall, the data indicates a trend of escalating incidents, particularly in the categories of Battery and Theft, as the timeline advances." }, { "dim_process": 20, "seq_idx": 389, "seq_len": 30, "time_since_start": [ 0.0, 0.5808796296296296, 1.2047685185185186, 2.102175925925926, 2.254074074074074, 2.9854861111111113, 3.7708333333333335, 7.786898148148148, 11.137662037037037, 11.201319444444444, 11.361898148148148, 11.706342592592593, 12.416412037037038, 13.317569444444445, 14.117268518518518, 16.08273148148148, 17.37789351851852, 17.634675925925926, 17.975092592592592, 18.104606481481483, 18.384351851851854, 18.655555555555555, 18.899398148148148, 19.49826388888889, 19.67886574074074, 19.927175925925926, 20.08273148148148, 20.09523148148148, 20.706689814814816, 21.677268518518517 ], "time_since_last_event": [ 0.0, 0.5808796296296296, 0.6238888888888889, 0.8974074074074074, 0.15189814814814814, 0.731412037037037, 0.7853472222222222, 4.016064814814815, 3.350763888888889, 0.06365740740740741, 0.1605787037037037, 0.34444444444444444, 0.7100694444444444, 0.9011574074074075, 0.799699074074074, 1.965462962962963, 1.2951620370370371, 0.25678240740740743, 0.34041666666666665, 0.1295138888888889, 0.2797453703703704, 0.2712037037037037, 0.24384259259259258, 0.5988657407407407, 0.18060185185185185, 0.2483101851851852, 0.15555555555555556, 0.0125, 0.6114583333333333, 0.9705787037037037 ], "type_event": [ 1, 7, 1, 0, 7, 7, 6, 6, 7, 7, 4, 3, 6, 0, 1, 8, 9, 1, 9, 9, 10, 6, 13, 7, 6, 4, 9, 6, 6, 7 ], "type_text": [ "Weapons Violation", "Battery", "Weapons Violation", "Theft", "Battery", "Battery", "Criminal Damage", "Criminal Damage", "Battery", "Battery", "Motor Vehicle Theft", "Deceptive Practice", "Criminal Damage", "Theft", "Weapons Violation", "Other Offense", "Assault", "Weapons Violation", "Assault", "Assault", "Burglary", "Criminal Damage", "Offense Involving Children", "Battery", "Criminal Damage", "Motor Vehicle Theft", "Assault", "Criminal Damage", "Criminal Damage", "Battery" ], "description": "The sequence of crime incidents shows a variety of crime types occurring over time, with certain types clustering at specific intervals. Initial incidents include weapons violations and battery, followed by a mix of theft and criminal damage in the early months. As time progresses, there is a noticeable increase in the frequency of assaults and criminal damage, particularly in the later months. Additionally, multiple incidents of battery and criminal damage occur in close succession, indicating a trend of clustering for these offenses. The sequence also highlights a recurring pattern of weapons violations and thefts occurring intermittently throughout the timeline." }, { "dim_process": 20, "seq_idx": 390, "seq_len": 36, "time_since_start": [ 0.0, 1.213425925925926, 1.9770833333333333, 2.8177546296296296, 4.383333333333334, 5.66875, 5.711087962962963, 6.086805555555555, 6.920138888888889, 7.205208333333333, 7.39375, 8.207638888888889, 8.391666666666667, 8.721990740740742, 8.772222222222222, 10.383263888888889, 11.171527777777778, 11.482291666666667, 12.09375, 12.224305555555556, 14.733287037037037, 14.789583333333333, 15.115972222222222, 16.03925925925926, 16.22361111111111, 16.41111111111111, 16.477546296296296, 16.518796296296298, 16.718287037037037, 17.57824074074074, 17.75, 18.243055555555557, 19.31537037037037, 19.353819444444444, 23.447222222222223, 23.54340277777778 ], "time_since_last_event": [ 0.0, 1.213425925925926, 0.7636574074074074, 0.8406712962962963, 1.5655787037037037, 1.2854166666666667, 0.042337962962962966, 0.3757175925925926, 0.8333333333333334, 0.28506944444444443, 0.18854166666666666, 0.8138888888888889, 0.1840277777777778, 0.33032407407407405, 0.05023148148148148, 1.6110416666666667, 0.7882638888888889, 0.3107638888888889, 0.6114583333333333, 0.13055555555555556, 2.5089814814814817, 0.056296296296296296, 0.3263888888888889, 0.9232870370370371, 0.18435185185185185, 0.1875, 0.06643518518518518, 0.04125, 0.19949074074074075, 0.8599537037037037, 0.17175925925925925, 0.4930555555555556, 1.0723148148148147, 0.03844907407407407, 4.0934027777777775, 0.09618055555555556 ], "type_event": [ 6, 9, 3, 7, 8, 6, 15, 4, 4, 6, 0, 7, 0, 7, 6, 0, 0, 9, 4, 0, 6, 7, 7, 9, 8, 9, 6, 9, 4, 9, 8, 6, 0, 9, 8, 9 ], "type_text": [ "Criminal Damage", "Assault", "Deceptive Practice", "Battery", "Other Offense", "Criminal Damage", "Interference With Public Officer", "Motor Vehicle Theft", "Motor Vehicle Theft", "Criminal Damage", "Theft", "Battery", "Theft", "Battery", "Criminal Damage", "Theft", "Theft", "Assault", "Motor Vehicle Theft", "Theft", "Criminal Damage", "Battery", "Battery", "Assault", "Other Offense", "Assault", "Criminal Damage", "Assault", "Motor Vehicle Theft", "Assault", "Other Offense", "Criminal Damage", "Theft", "Assault", "Other Offense", "Assault" ], "description": "The sequence of crime incidents shows a variety of crime types occurring over time, with notable clustering of certain events. Criminal Damage appears multiple times throughout the sequence, often occurring after periods of other offenses. Assaults are prevalent, particularly in the later months, with several incidents clustered closely together. Motor Vehicle Theft is also repeated, appearing in the mid to later stages of the timeline. The sequence indicates a trend of increasing frequency in certain crime types as time progresses, particularly towards the end of the observed period." }, { "dim_process": 20, "seq_idx": 391, "seq_len": 48, "time_since_start": [ 0.0, 0.1347685185185185, 1.4694675925925926, 2.2286574074074075, 2.803657407407407, 3.4916435185185186, 3.861990740740741, 3.933773148148148, 4.470324074074074, 4.803888888888889, 4.970324074074074, 5.018935185185185, 5.491041666666667, 5.628657407407408, 5.698101851851852, 6.207824074074074, 8.26199074074074, 9.062685185185185, 9.316851851851851, 9.403287037037037, 9.53375, 10.035972222222222, 10.150185185185185, 12.099282407407408, 13.893935185185185, 14.086898148148148, 14.185601851851851, 14.195902777777778, 14.857476851851851, 15.291967592592593, 15.519652777777777, 15.989398148148148, 16.22824074074074, 16.326574074074074, 16.45435185185185, 17.301203703703703, 17.30125, 17.938564814814814, 18.38138888888889, 19.106435185185184, 19.42990740740741, 19.628657407407406, 20.479004629629628, 20.501296296296296, 20.623310185185186, 21.40412037037037, 21.721712962962965, 21.85675925925926 ], "time_since_last_event": [ 0.0, 0.1347685185185185, 1.334699074074074, 0.7591898148148148, 0.575, 0.6879861111111111, 0.3703472222222222, 0.0717824074074074, 0.5365509259259259, 0.3335648148148148, 0.16643518518518519, 0.04861111111111111, 0.4721064814814815, 0.13761574074074073, 0.06944444444444445, 0.5097222222222222, 2.0541666666666667, 0.8006944444444445, 0.25416666666666665, 0.08643518518518518, 0.13046296296296298, 0.5022222222222222, 0.11421296296296296, 1.9490972222222223, 1.7946527777777779, 0.19296296296296298, 0.09870370370370371, 0.010300925925925925, 0.6615740740740741, 0.43449074074074073, 0.22768518518518518, 0.4697453703703704, 0.2388425925925926, 0.09833333333333333, 0.12777777777777777, 0.8468518518518519, 4.6296296296296294e-05, 0.6373148148148148, 0.4428240740740741, 0.7250462962962962, 0.3234722222222222, 0.19875, 0.8503472222222223, 0.022291666666666668, 0.1220138888888889, 0.7808101851851852, 0.3175925925925926, 0.1350462962962963 ], "type_event": [ 4, 7, 7, 11, 8, 9, 8, 7, 7, 6, 6, 4, 11, 8, 7, 6, 4, 0, 4, 7, 9, 1, 6, 8, 6, 6, 6, 7, 8, 7, 6, 8, 6, 7, 7, 9, 1, 12, 4, 10, 1, 14, 6, 7, 9, 0, 9, 0 ], "type_text": [ "Motor Vehicle Theft", "Battery", "Battery", "Robbery", "Other Offense", "Assault", "Other Offense", "Battery", "Battery", "Criminal Damage", "Criminal Damage", "Motor Vehicle Theft", "Robbery", "Other Offense", "Battery", "Criminal Damage", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Battery", "Assault", "Weapons Violation", "Criminal Damage", "Other Offense", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Battery", "Other Offense", "Battery", "Criminal Damage", "Other Offense", "Criminal Damage", "Battery", "Battery", "Assault", "Weapons Violation", "Arson", "Motor Vehicle Theft", "Burglary", "Weapons Violation", "Criminal Sexual Assault", "Criminal Damage", "Battery", "Assault", "Theft", "Assault", "Theft" ], "description": "The sequence of crime incidents shows a variety of crime types occurring over time, with notable clustering of certain offenses. Initially, incidents such as Motor Vehicle Theft and Battery appear early in the timeline, followed by a mix of Robbery, Assault, and Other Offenses in the subsequent months. As time progresses, there is an observable increase in Criminal Damage incidents, particularly around the middle of the timeline, while Motor Vehicle Theft reoccurs later. Towards the end of the sequence, a combination of Theft and Assault incidents emerges, alongside a few Weapons Violations and a Criminal Sexual Assault, indicating a diverse range of offenses throughout the observed period." }, { "dim_process": 20, "seq_idx": 392, "seq_len": 100, "time_since_start": [ 0.0, 0.06087962962962963, 0.06365740740740741, 0.08310185185185186, 0.10752314814814815, 0.4525462962962963, 0.7361111111111112, 0.7768518518518519, 1.2969907407407408, 1.9233796296296297, 2.0077777777777777, 2.4636574074074074, 3.2136574074074074, 3.662962962962963, 3.687962962962963, 4.044212962962963, 4.5435185185185185, 4.695601851851852, 5.42337962962963, 5.653564814814815, 5.842824074074074, 6.121990740740741, 6.149768518518519, 6.155787037037037, 6.597638888888889, 6.631018518518519, 6.651157407407408, 6.769212962962963, 7.030324074074074, 7.067824074074074, 7.0844907407407405, 7.349768518518519, 7.373865740740741, 7.409490740740741, 8.000462962962963, 8.34212962962963, 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0.1486111111111111, 0.2974537037037037, 0.03634259259259259, 0.24601851851851853, 0.4521296296296296, 0.0020833333333333333, 0.016666666666666666, 0.33402777777777776, 0.015277777777777777, 0.20092592592592592, 1.236574074074074, 0.31180555555555556, 0.2465277777777778 ], "type_event": [ 9, 9, 8, 8, 9, 7, 9, 9, 6, 6, 9, 9, 9, 8, 5, 7, 17, 8, 9, 6, 9, 7, 9, 9, 5, 7, 9, 8, 8, 8, 8, 11, 8, 11, 9, 11, 7, 0, 9, 9, 0, 9, 7, 9, 7, 9, 0, 1, 7, 0, 19, 11, 7, 9, 9, 6, 6, 1, 8, 7, 4, 8, 8, 8, 9, 8, 8, 9, 6, 8, 8, 7, 6, 8, 8, 8, 7, 5, 6, 9, 6, 8, 1, 8, 4, 5, 6, 8, 8, 9, 8, 6, 8, 8, 8, 6, 1, 7, 7, 6 ], "type_text": [ "Assault", "Assault", "Other Offense", "Other Offense", "Assault", "Battery", "Assault", "Assault", "Criminal Damage", "Criminal Damage", "Assault", "Assault", "Assault", "Other Offense", "Criminal Trespass", "Battery", "Stalking", "Other Offense", "Assault", "Criminal Damage", "Assault", "Battery", "Assault", "Assault", "Criminal Trespass", "Battery", "Assault", "Other Offense", "Other Offense", "Other Offense", "Other Offense", "Robbery", "Other Offense", "Robbery", "Assault", "Robbery", "Battery", "Theft", "Assault", "Assault", "Theft", "Assault", "Battery", "Assault", "Battery", "Assault", "Theft", "Weapons Violation", "Battery", "Theft", "Homicide", "Robbery", "Battery", "Assault", "Assault", "Criminal Damage", "Criminal Damage", "Weapons Violation", "Other Offense", "Battery", "Motor Vehicle Theft", "Other Offense", "Other Offense", "Other Offense", "Assault", "Other Offense", "Other Offense", "Assault", "Criminal Damage", "Other Offense", "Other Offense", "Battery", "Criminal Damage", "Other Offense", "Other Offense", "Other Offense", "Battery", "Criminal Trespass", "Criminal Damage", "Assault", "Criminal Damage", "Other Offense", "Weapons Violation", "Other Offense", "Motor Vehicle Theft", "Criminal Trespass", "Criminal Damage", "Other Offense", "Other Offense", "Assault", "Other Offense", "Criminal Damage", "Other Offense", "Other Offense", "Other Offense", "Criminal Damage", "Weapons Violation", "Battery", "Battery", "Criminal Damage" ], "description": "The sequence of crime incidents shows a notable clustering of assault incidents occurring primarily in the early months, with a peak around the first year. Other offenses are frequently reported throughout the timeline, especially in the middle to later months, indicating a sustained presence. Battery incidents appear intermittently, with some clustering in the latter part of the timeline. Criminal damage incidents also show a trend of increasing frequency over time, particularly in the later months. The sequence concludes with a variety of offenses, including weapons violations and thefts, indicating a diverse range of crime types as time progresses." }, { "dim_process": 20, "seq_idx": 393, "seq_len": 50, "time_since_start": [ 0.0, 0.27296296296296296, 2.451111111111111, 3.238703703703704, 4.112592592592593, 4.920648148148148, 5.6567592592592595, 6.491666666666666, 6.676203703703703, 7.523425925925926, 7.554675925925926, 7.558125, 7.56787037037037, 7.578587962962963, 7.59287037037037, 7.878796296296296, 7.99125, 8.274814814814814, 8.527592592592592, 8.829212962962963, 9.023425925925926, 9.178287037037038, 9.263819444444444, 10.017037037037037, 10.770023148148148, 10.774814814814814, 15.077939814814815, 15.168101851851851, 15.175671296296295, 15.416481481481481, 15.517870370370371, 15.542175925925926, 16.17064814814815, 16.585694444444446, 16.673425925925926, 17.260925925925925, 17.377476851851853, 18.448171296296298, 18.707453703703703, 18.724351851851853, 19.051203703703703, 20.057800925925925, 20.063449074074075, 20.123912037037037, 20.56076388888889, 21.11023148148148, 21.399814814814814, 21.43696759259259, 21.860925925925926, 23.48060185185185 ], "time_since_last_event": [ 0.0, 0.27296296296296296, 2.178148148148148, 0.7875925925925926, 0.8738888888888889, 0.8080555555555555, 0.7361111111111112, 0.8349074074074074, 0.18453703703703703, 0.8472222222222222, 0.03125, 0.003449074074074074, 0.00974537037037037, 0.010717592592592593, 0.014282407407407407, 0.2859259259259259, 0.11245370370370371, 0.2835648148148148, 0.25277777777777777, 0.30162037037037037, 0.19421296296296298, 0.15486111111111112, 0.0855324074074074, 0.7532175925925926, 0.7529861111111111, 0.004791666666666666, 4.303125, 0.09016203703703704, 0.007569444444444445, 0.24081018518518518, 0.10138888888888889, 0.024305555555555556, 0.6284722222222222, 0.4150462962962963, 0.08773148148148148, 0.5875, 0.11655092592592593, 1.0706944444444444, 0.25928240740740743, 0.016898148148148148, 0.32685185185185184, 1.0065972222222221, 0.005648148148148148, 0.06046296296296296, 0.4368518518518518, 0.5494675925925926, 0.28958333333333336, 0.03715277777777778, 0.4239583333333333, 1.619675925925926 ], "type_event": [ 7, 9, 6, 10, 5, 0, 0, 1, 0, 6, 6, 4, 6, 6, 4, 5, 0, 6, 6, 6, 0, 7, 19, 1, 0, 9, 9, 6, 4, 0, 4, 0, 8, 11, 9, 6, 13, 6, 0, 6, 4, 6, 6, 6, 6, 11, 6, 7, 0, 4 ], "type_text": [ "Battery", "Assault", "Criminal Damage", "Burglary", "Criminal Trespass", "Theft", "Theft", "Weapons Violation", "Theft", "Criminal Damage", "Criminal Damage", "Motor Vehicle Theft", "Criminal Damage", "Criminal Damage", "Motor Vehicle Theft", "Criminal Trespass", "Theft", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Theft", "Battery", "Homicide", "Weapons Violation", "Theft", "Assault", "Assault", "Criminal Damage", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Theft", "Other Offense", "Robbery", "Assault", "Criminal Damage", "Offense Involving Children", "Criminal Damage", "Theft", "Criminal Damage", "Motor Vehicle Theft", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Robbery", "Criminal Damage", "Battery", "Theft", "Motor Vehicle Theft" ], "description": "The sequence of crime incidents shows a progression of various crime types over time, with certain types appearing more frequently in specific periods. Initially, incidents such as Battery and Assault occur early in the timeline, followed by a mix of property crimes like Theft and Criminal Damage that cluster around the middle months. As time advances, there is a notable increase in Motor Vehicle Theft and Criminal Damage incidents, particularly in the later months. Additionally, there are sporadic occurrences of more serious offenses, such as Homicide and Robbery, interspersed throughout the timeline, indicating a diverse range of crime types throughout the sequence." }, { "dim_process": 20, "seq_idx": 394, "seq_len": 96, "time_since_start": [ 0.0, 0.8110416666666667, 1.4159722222222222, 1.4243055555555555, 3.192060185185185, 3.245833333333333, 3.4247685185185186, 3.7354166666666666, 3.890972222222222, 4.264004629629629, 4.304375, 5.282569444444444, 5.435578703703704, 5.499305555555556, 5.584791666666667, 6.542361111111111, 6.830092592592592, 7.445833333333334, 7.476388888888889, 7.7555555555555555, 8.224606481481482, 8.562962962962963, 8.792708333333334, 8.992476851851851, 9.211805555555555, 9.249652777777778, 9.306944444444444, 9.337037037037037, 9.547222222222222, 9.920717592592593, 9.961458333333333, 10.53863425925926, 10.834722222222222, 11.902129629629629, 12.027152777777777, 12.091666666666667, 12.18125, 12.358101851851853, 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22.603472222222223, 22.90162037037037, 22.9375, 22.941666666666666, 23.03611111111111, 23.34252314814815, 23.391666666666666 ], "time_since_last_event": [ 0.0, 0.8110416666666667, 0.6049305555555555, 0.008333333333333333, 1.7677546296296296, 0.053773148148148146, 0.1789351851851852, 0.3106481481481482, 0.15555555555555556, 0.3730324074074074, 0.04037037037037037, 0.9781944444444445, 0.15300925925925926, 0.06372685185185185, 0.08548611111111111, 0.9575694444444445, 0.2877314814814815, 0.6157407407407407, 0.030555555555555555, 0.2791666666666667, 0.4690509259259259, 0.3383564814814815, 0.22974537037037038, 0.1997685185185185, 0.2193287037037037, 0.03784722222222222, 0.057291666666666664, 0.03009259259259259, 0.2101851851851852, 0.3734953703703704, 0.040740740740740744, 0.5771759259259259, 0.29608796296296297, 1.0674074074074074, 0.12502314814814816, 0.06451388888888888, 0.08958333333333333, 0.17685185185185184, 0.24606481481481482, 0.4013888888888889, 0.034513888888888886, 0.02798611111111111, 0.21041666666666667, 0.33541666666666664, 0.03194444444444444, 0.007291666666666667, 0.38993055555555556, 0.0020833333333333333, 0.14925925925925926, 0.1600462962962963, 0.05388888888888889, 0.22224537037037037, 0.06733796296296296, 0.07708333333333334, 0.09861111111111111, 0.07543981481481482, 0.015856481481481482, 0.19689814814814816, 1.1785185185185185, 0.03050925925925926, 0.109375, 0.15377314814814816, 1.1243518518518518, 0.65, 0.020462962962962964, 0.028148148148148148, 0.32083333333333336, 0.5729166666666666, 0.1744675925925926, 0.03293981481481482, 0.003703703703703704, 0.381712962962963, 0.10976851851851852, 0.3703240740740741, 0.2520833333333333, 0.03888888888888889, 0.02613425925925926, 0.027337962962962963, 0.1326388888888889, 0.09097222222222222, 0.009027777777777777, 0.07083333333333333, 0.0006944444444444445, 0.35462962962962963, 0.4078703703703704, 0.1786111111111111, 0.058055555555555555, 0.22506944444444443, 0.17159722222222223, 0.13541666666666666, 0.29814814814814816, 0.03587962962962963, 0.004166666666666667, 0.09444444444444444, 0.306412037037037, 0.04914351851851852 ], "type_event": [ 9, 1, 8, 6, 7, 13, 6, 6, 0, 7, 0, 9, 7, 4, 7, 4, 7, 4, 4, 6, 9, 3, 7, 9, 7, 9, 0, 11, 6, 11, 0, 9, 7, 7, 9, 0, 7, 9, 0, 7, 11, 8, 4, 0, 8, 6, 6, 6, 6, 9, 6, 1, 6, 6, 0, 7, 3, 7, 0, 4, 1, 10, 3, 7, 8, 13, 4, 8, 7, 4, 4, 7, 7, 10, 6, 4, 6, 7, 10, 7, 6, 6, 4, 7, 6, 1, 10, 8, 4, 0, 7, 5, 4, 3, 8, 0 ], "type_text": [ "Assault", "Weapons Violation", "Other Offense", "Criminal Damage", "Battery", "Offense Involving Children", "Criminal Damage", "Criminal Damage", "Theft", "Battery", "Theft", "Assault", "Battery", "Motor Vehicle Theft", "Battery", "Motor Vehicle Theft", "Battery", "Motor Vehicle Theft", "Motor Vehicle Theft", "Criminal Damage", "Assault", "Deceptive Practice", "Battery", "Assault", "Battery", "Assault", "Theft", "Robbery", "Criminal Damage", "Robbery", "Theft", "Assault", "Battery", "Battery", "Assault", "Theft", "Battery", "Assault", "Theft", "Battery", "Robbery", "Other Offense", "Motor Vehicle Theft", "Theft", "Other Offense", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Assault", "Criminal Damage", "Weapons Violation", "Criminal Damage", "Criminal Damage", "Theft", "Battery", "Deceptive Practice", "Battery", "Theft", "Motor Vehicle Theft", "Weapons Violation", "Burglary", "Deceptive Practice", "Battery", "Other Offense", "Offense Involving Children", "Motor Vehicle Theft", "Other Offense", "Battery", "Motor Vehicle Theft", "Motor Vehicle Theft", "Battery", "Battery", "Burglary", "Criminal Damage", "Motor Vehicle Theft", "Criminal Damage", "Battery", "Burglary", "Battery", "Criminal Damage", "Criminal Damage", "Motor Vehicle Theft", "Battery", "Criminal Damage", "Weapons Violation", "Burglary", "Other Offense", "Motor Vehicle Theft", "Theft", "Battery", "Criminal Trespass", "Motor Vehicle Theft", "Deceptive Practice", "Other Offense", "Theft" ], "description": "The sequence of crime incidents shows a pattern where various types of offenses occur throughout the timeline, with notable clusters of specific crime types. Initially, assaults and weapons violations appear early in the timeline, followed by an increase in battery incidents around the 4 to 10-month mark. Motor vehicle thefts become prominent in the later months, particularly after the 6-month mark, while criminal damage incidents are consistently reported throughout the sequence, often occurring in clusters. The sequence also indicates a recurring presence of theft and robbery offenses, particularly in the latter half of the timeline, suggesting a trend of increasing property-related crimes as time progresses." }, { "dim_process": 20, "seq_idx": 395, "seq_len": 33, "time_since_start": [ 0.0, 0.9410879629629629, 2.207638888888889, 3.001898148148148, 3.964537037037037, 4.706944444444445, 4.740972222222222, 7.276388888888889, 7.7399305555555555, 8.436111111111112, 8.706597222222221, 8.779166666666667, 8.831944444444444, 8.845833333333333, 8.985972222222221, 10.370833333333334, 10.60138888888889, 11.27361111111111, 11.919050925925927, 12.254791666666666, 13.32349537037037, 14.502083333333333, 14.535416666666666, 15.599652777777777, 15.665277777777778, 15.9, 16.356527777777778, 16.402430555555554, 17.266666666666666, 17.26875, 18.24652777777778, 18.26736111111111, 21.202083333333334 ], "time_since_last_event": [ 0.0, 0.9410879629629629, 1.266550925925926, 0.7942592592592592, 0.9626388888888889, 0.7424074074074074, 0.034027777777777775, 2.535416666666667, 0.4635416666666667, 0.6961805555555556, 0.2704861111111111, 0.07256944444444445, 0.05277777777777778, 0.013888888888888888, 0.1401388888888889, 1.384861111111111, 0.23055555555555557, 0.6722222222222223, 0.6454398148148148, 0.33574074074074073, 1.0687037037037037, 1.178587962962963, 0.03333333333333333, 1.0642361111111112, 0.065625, 0.23472222222222222, 0.45652777777777775, 0.04590277777777778, 0.8642361111111111, 0.0020833333333333333, 0.9777777777777777, 0.020833333333333332, 2.9347222222222222 ], "type_event": [ 0, 7, 9, 7, 7, 9, 7, 6, 7, 7, 9, 4, 9, 4, 4, 7, 4, 9, 6, 7, 0, 7, 7, 9, 7, 7, 7, 7, 9, 7, 4, 9, 9 ], "type_text": [ "Theft", "Battery", "Assault", "Battery", "Battery", "Assault", "Battery", "Criminal Damage", "Battery", "Battery", "Assault", "Motor Vehicle Theft", "Assault", "Motor Vehicle Theft", "Motor Vehicle Theft", "Battery", "Motor Vehicle Theft", "Assault", "Criminal Damage", "Battery", "Theft", "Battery", "Battery", "Assault", "Battery", "Battery", "Battery", "Battery", "Assault", "Battery", "Motor Vehicle Theft", "Assault", "Assault" ], "description": "The sequence of crime incidents shows a pattern where Battery incidents occur frequently, particularly in the early and middle stages, with several clusters of these events. Assaults are also prominent, especially around the 2 to 18-month mark, indicating a concentration of these incidents during this period. Motor Vehicle Theft incidents begin to appear more consistently after the 8-month mark, while Criminal Damage incidents are noted at specific intervals. The sequence concludes with a notable increase in Assaults towards the end, suggesting a rise in this type of crime as time progresses." }, { "dim_process": 20, "seq_idx": 396, "seq_len": 39, "time_since_start": [ 0.0, 0.3146759259259259, 0.9828703703703704, 2.2825, 3.3152083333333335, 4.893032407407407, 5.096597222222222, 5.727175925925926, 6.498587962962963, 7.774050925925926, 8.388402777777777, 8.913287037037037, 9.057037037037038, 10.494398148148148, 10.613287037037036, 10.937870370370371, 10.963287037037038, 11.55773148148148, 11.964212962962963, 12.163287037037037, 13.041412037037038, 13.239907407407408, 13.623125, 13.775787037037038, 14.068078703703703, 14.170925925925927, 14.919652777777777, 15.882731481481482, 16.028680555555557, 16.272662037037037, 17.03412037037037, 17.20189814814815, 17.24662037037037, 18.78064814814815, 20.482546296296295, 20.623703703703704, 20.98898148148148, 21.382731481481482, 22.205856481481483 ], "time_since_last_event": [ 0.0, 0.3146759259259259, 0.6681944444444444, 1.2996296296296297, 1.0327083333333333, 1.577824074074074, 0.2035648148148148, 0.6305787037037037, 0.7714120370370371, 1.275462962962963, 0.6143518518518518, 0.5248842592592593, 0.14375, 1.437361111111111, 0.11888888888888889, 0.32458333333333333, 0.025416666666666667, 0.5944444444444444, 0.4064814814814815, 0.19907407407407407, 0.878125, 0.19849537037037038, 0.3832175925925926, 0.15266203703703704, 0.29229166666666667, 0.10284722222222223, 0.7487268518518518, 0.9630787037037037, 0.14594907407407406, 0.2439814814814815, 0.7614583333333333, 0.16777777777777778, 0.04472222222222222, 1.5340277777777778, 1.701898148148148, 0.1411574074074074, 0.36527777777777776, 0.39375, 0.823125 ], "type_event": [ 13, 13, 8, 7, 13, 7, 7, 6, 7, 6, 7, 4, 4, 7, 8, 7, 6, 6, 0, 3, 8, 6, 7, 7, 6, 6, 7, 4, 0, 7, 6, 6, 3, 7, 6, 7, 9, 1, 7 ], "type_text": [ "Offense Involving Children", "Offense Involving Children", "Other Offense", "Battery", "Offense Involving Children", "Battery", "Battery", "Criminal Damage", "Battery", "Criminal Damage", "Battery", "Motor Vehicle Theft", "Motor Vehicle Theft", "Battery", "Other Offense", "Battery", "Criminal Damage", "Criminal Damage", "Theft", "Deceptive Practice", "Other Offense", "Criminal Damage", "Battery", "Battery", "Criminal Damage", "Criminal Damage", "Battery", "Motor Vehicle Theft", "Theft", "Battery", "Criminal Damage", "Criminal Damage", "Deceptive Practice", "Battery", "Criminal Damage", "Battery", "Assault", "Weapons Violation", "Battery" ], "description": "The sequence of crime incidents shows a pattern where offenses involving children occur early in the timeline, followed by a mix of battery and criminal damage incidents that cluster around the middle months. Battery offenses appear frequently throughout the sequence, particularly between the 4th and 22nd month. Motor vehicle theft incidents are reported in the later months, while other offenses and deceptive practices appear sporadically. Criminal damage incidents also show a notable presence, particularly in the latter half of the timeline." }, { "dim_process": 20, "seq_idx": 397, "seq_len": 32, "time_since_start": [ 0.0, 0.4120138888888889, 1.210925925925926, 1.640787037037037, 3.18974537037037, 4.198958333333334, 6.607893518518519, 6.636967592592592, 7.204675925925926, 7.2713425925925925, 7.417175925925926, 7.419953703703704, 8.204027777777778, 8.4875, 9.16925925925926, 11.196342592592593, 12.45849537037037, 13.68361111111111, 14.104675925925926, 14.952708333333334, 15.006273148148148, 15.517175925925926, 16.320787037037036, 16.590787037037035, 17.635231481481483, 17.82203703703704, 18.097037037037037, 18.19097222222222, 19.083148148148148, 19.83939814814815, 22.051550925925927, 23.594375 ], "time_since_last_event": [ 0.0, 0.4120138888888889, 0.7989120370370371, 0.42986111111111114, 1.5489583333333334, 1.009212962962963, 2.408935185185185, 0.029074074074074075, 0.5677083333333334, 0.06666666666666667, 0.14583333333333334, 0.002777777777777778, 0.784074074074074, 0.28347222222222224, 0.6817592592592593, 2.027083333333333, 1.2621527777777777, 1.2251157407407407, 0.42106481481481484, 0.8480324074074074, 0.053564814814814815, 0.5109027777777778, 0.8036111111111112, 0.27, 1.0444444444444445, 0.18680555555555556, 0.275, 0.09393518518518519, 0.8921759259259259, 0.75625, 2.212152777777778, 1.5428240740740742 ], "type_event": [ 9, 4, 7, 4, 7, 1, 7, 7, 4, 6, 4, 3, 6, 8, 4, 4, 4, 6, 7, 5, 7, 9, 9, 4, 0, 7, 7, 9, 7, 4, 6, 4 ], "type_text": [ "Assault", "Motor Vehicle Theft", "Battery", "Motor Vehicle Theft", "Battery", "Weapons Violation", "Battery", "Battery", "Motor Vehicle Theft", "Criminal Damage", "Motor Vehicle Theft", "Deceptive Practice", "Criminal Damage", "Other Offense", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Criminal Damage", "Battery", "Criminal Trespass", "Battery", "Assault", "Assault", "Motor Vehicle Theft", "Theft", "Battery", "Battery", "Assault", "Battery", "Motor Vehicle Theft", "Criminal Damage", "Motor Vehicle Theft" ], "description": "The sequence of crime incidents begins with an assault and a motor vehicle theft occurring within the first month. Battery incidents start to appear around the one-month mark and continue to occur intermittently, with a notable cluster around the 14 to 19-month period. Motor vehicle thefts are prevalent throughout the timeline, with several occurring in clusters, particularly between the 7 and 23-month marks. Criminal damage incidents also appear multiple times, with a noticeable concentration in the later months of the sequence. Overall, there is a mix of crime types that shows a tendency for certain offenses, like motor vehicle theft and battery, to recur at various intervals." }, { "dim_process": 20, "seq_idx": 398, "seq_len": 31, "time_since_start": [ 0.0, 1.6761342592592592, 2.5498842592592594, 2.5590277777777777, 2.6186805555555557, 2.6326388888888888, 2.834375, 3.470138888888889, 3.472916666666667, 6.013541666666667, 6.613611111111111, 6.707291666666666, 9.670486111111112, 10.245138888888889, 10.531458333333333, 10.77650462962963, 11.663541666666667, 13.243402777777778, 14.048263888888888, 14.424953703703704, 14.472708333333333, 15.781597222222222, 18.684560185185184, 19.59548611111111, 20.176967592592593, 20.399652777777778, 20.60071759259259, 20.61076388888889, 20.634375, 22.269791666666666, 23.528171296296296 ], "time_since_last_event": [ 0.0, 1.6761342592592592, 0.87375, 0.009143518518518518, 0.05965277777777778, 0.013958333333333333, 0.20173611111111112, 0.6357638888888889, 0.002777777777777778, 2.540625, 0.6000694444444444, 0.09368055555555556, 2.9631944444444445, 0.5746527777777778, 0.28631944444444446, 0.2450462962962963, 0.8870370370370371, 1.5798611111111112, 0.8048611111111111, 0.37668981481481484, 0.04775462962962963, 1.308888888888889, 2.9029629629629627, 0.9109259259259259, 0.5814814814814815, 0.22268518518518518, 0.2010648148148148, 0.010046296296296296, 0.02361111111111111, 1.6354166666666667, 1.2583796296296297 ], "type_event": [ 3, 16, 7, 0, 7, 6, 0, 0, 3, 6, 4, 6, 8, 0, 8, 7, 6, 6, 4, 9, 1, 3, 9, 5, 7, 4, 1, 4, 4, 0, 13 ], "type_text": [ "Deceptive Practice", "Narcotics", "Battery", "Theft", "Battery", "Criminal Damage", "Theft", "Theft", "Deceptive Practice", "Criminal Damage", "Motor Vehicle Theft", "Criminal Damage", "Other Offense", "Theft", "Other Offense", "Battery", "Criminal Damage", "Criminal Damage", "Motor Vehicle Theft", "Assault", "Weapons Violation", "Deceptive Practice", "Assault", "Criminal Trespass", "Battery", "Motor Vehicle Theft", "Weapons Violation", "Motor Vehicle Theft", "Motor Vehicle Theft", "Theft", "Offense Involving Children" ], "description": "The sequence of crime incidents shows a progression over time with various types of offenses occurring at different intervals. Initially, there is a mix of deceptive practices, narcotics, and battery incidents, which occur within the first three months. As time progresses, theft incidents become more frequent, particularly clustered around the 2 to 3-month mark and again around the 10 to 11-month mark. Criminal damage appears consistently throughout the sequence, with notable clusters around the 6 and 13-month marks. Towards the latter part of the timeline, there is an increase in motor vehicle thefts and weapons violations, indicating a shift in the types of crimes reported." }, { "dim_process": 20, "seq_idx": 399, "seq_len": 56, "time_since_start": [ 0.0, 0.01810185185185185, 0.9069444444444444, 1.9319675925925925, 2.2142824074074072, 2.5145833333333334, 2.74375, 3.5350694444444444, 3.6020833333333333, 4.860416666666667, 7.1409722222222225, 7.28125, 7.590972222222222, 7.613194444444445, 7.753472222222222, 8.26736111111111, 8.522222222222222, 8.597916666666666, 8.64611111111111, 8.784027777777778, 9.252083333333333, 10.581226851851852, 11.647361111111111, 12.145138888888889, 12.520162037037037, 12.575694444444444, 12.595833333333333, 13.763194444444444, 13.934722222222222, 14.40287037037037, 14.485347222222222, 15.797685185185186, 16.744722222222222, 18.263194444444444, 18.31736111111111, 18.373819444444443, 18.553194444444443, 18.564583333333335, 18.582638888888887, 18.986805555555556, 19.23125, 19.497222222222224, 19.5125, 19.524166666666666, 19.539583333333333, 19.648263888888888, 20.222916666666666, 20.27226851851852, 20.28101851851852, 21.013194444444444, 21.24662037037037, 21.25613425925926, 21.58421296296296, 22.451087962962962, 22.81875, 23.075694444444444 ], "time_since_last_event": [ 0.0, 0.01810185185185185, 0.8888425925925926, 1.0250231481481482, 0.2823148148148148, 0.30030092592592594, 0.22916666666666666, 0.7913194444444445, 0.06701388888888889, 1.2583333333333333, 2.2805555555555554, 0.14027777777777778, 0.30972222222222223, 0.022222222222222223, 0.14027777777777778, 0.5138888888888888, 0.2548611111111111, 0.07569444444444444, 0.04819444444444444, 0.13791666666666666, 0.46805555555555556, 1.3291435185185185, 1.0661342592592593, 0.49777777777777776, 0.37502314814814813, 0.055532407407407405, 0.02013888888888889, 1.167361111111111, 0.17152777777777778, 0.46814814814814815, 0.08247685185185186, 1.312337962962963, 0.947037037037037, 1.5184722222222222, 0.05416666666666667, 0.05645833333333333, 0.179375, 0.01138888888888889, 0.018055555555555554, 0.4041666666666667, 0.24444444444444444, 0.2659722222222222, 0.015277777777777777, 0.011666666666666667, 0.015416666666666667, 0.10868055555555556, 0.5746527777777778, 0.049351851851851855, 0.00875, 0.732175925925926, 0.23342592592592593, 0.00951388888888889, 0.3280787037037037, 0.866875, 0.36766203703703704, 0.2569444444444444 ], "type_event": [ 7, 7, 8, 3, 10, 6, 7, 7, 3, 7, 7, 7, 7, 4, 7, 7, 7, 7, 7, 6, 7, 7, 7, 0, 6, 0, 0, 7, 0, 7, 9, 7, 7, 7, 9, 8, 7, 8, 2, 4, 0, 10, 5, 6, 6, 6, 7, 19, 9, 8, 9, 5, 7, 0, 13, 4 ], "type_text": [ "Battery", "Battery", "Other Offense", "Deceptive Practice", "Burglary", "Criminal Damage", "Battery", "Battery", "Deceptive Practice", "Battery", "Battery", "Battery", "Battery", "Motor Vehicle Theft", "Battery", "Battery", "Battery", "Battery", "Battery", "Criminal Damage", "Battery", "Battery", "Battery", "Theft", "Criminal Damage", "Theft", "Theft", "Battery", "Theft", "Battery", "Assault", "Battery", "Battery", "Battery", "Assault", "Other Offense", "Battery", "Other Offense", "Sex Offense", "Motor Vehicle Theft", "Theft", "Burglary", "Criminal Trespass", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Battery", "Homicide", "Assault", "Other Offense", "Assault", "Criminal Trespass", "Battery", "Theft", "Offense Involving Children", "Motor Vehicle Theft" ], "description": "The sequence of crime incidents shows a notable concentration of battery offenses occurring frequently throughout the timeline, particularly in the earlier months. Other offense types such as theft and assault appear later in the sequence, often following clusters of battery incidents. The timeline also indicates a gradual increase in the diversity of crime types over time, with incidents of burglary and motor vehicle theft emerging after several months. Additionally, there are periods where criminal damage offenses cluster together, particularly towards the later months of the sequence. Overall, the data reflects a pattern where certain crime types, especially battery, dominate the earlier months, while other offenses become more varied as time progresses." }, { "dim_process": 20, "seq_idx": 400, "seq_len": 73, "time_since_start": [ 0.0, 0.009768518518518518, 0.1368287037037037, 0.256875, 0.2919907407407407, 0.30530092592592595, 0.3290972222222222, 1.0002777777777778, 1.4829166666666667, 1.7124305555555555, 2.073958333333333, 3.0933333333333333, 3.4513194444444446, 3.573541666666667, 3.7513194444444444, 4.229328703703704, 4.356712962962963, 4.5559722222222225, 5.331875, 5.669537037037037, 5.8355092592592595, 6.705486111111111, 7.039513888888889, 7.103402777777778, 7.131828703703704, 7.131875, 8.572152777777777, 9.44298611111111, 9.489976851851852, 9.888356481481482, 11.036828703703703, 11.071458333333334, 11.215208333333333, 13.822037037037036, 13.965324074074074, 14.034652777777778, 14.533611111111112, 14.899930555555555, 15.088819444444445, 15.089513888888888, 15.13511574074074, 15.403333333333334, 15.462430555555555, 15.804791666666667, 16.031875, 16.290208333333332, 16.447754629629628, 16.536041666666666, 16.586388888888887, 16.73460648148148, 17.06659722222222, 17.263819444444444, 17.29363425925926, 17.631180555555556, 18.26451388888889, 18.306898148148147, 18.370069444444443, 18.419375, 18.433263888888888, 18.886041666666667, 19.02608796296296, 19.084652777777777, 19.17162037037037, 19.36173611111111, 19.438819444444444, 19.502199074074074, 19.690324074074073, 20.896550925925926, 21.089814814814815, 21.89645833333333, 21.916851851851852, 22.30002314814815, 23.825046296296296 ], "time_since_last_event": [ 0.0, 0.009768518518518518, 0.1270601851851852, 0.12004629629629629, 0.03511574074074074, 0.013310185185185185, 0.023796296296296298, 0.6711805555555556, 0.4826388888888889, 0.22951388888888888, 0.3615277777777778, 1.019375, 0.3579861111111111, 0.12222222222222222, 0.17777777777777778, 0.47800925925925924, 0.12738425925925925, 0.19925925925925925, 0.7759027777777778, 0.337662037037037, 0.16597222222222222, 0.8699768518518518, 0.33402777777777776, 0.06388888888888888, 0.028425925925925927, 4.6296296296296294e-05, 1.4402777777777778, 0.8708333333333333, 0.04699074074074074, 0.39837962962962964, 1.1484722222222221, 0.03462962962962963, 0.14375, 2.606828703703704, 0.14328703703703705, 0.0693287037037037, 0.49895833333333334, 0.3663194444444444, 0.18888888888888888, 0.0006944444444444445, 0.04560185185185185, 0.2682175925925926, 0.059097222222222225, 0.3423611111111111, 0.22708333333333333, 0.25833333333333336, 0.1575462962962963, 0.08828703703703704, 0.050347222222222224, 0.1482175925925926, 0.33199074074074075, 0.19722222222222222, 0.029814814814814815, 0.3375462962962963, 0.6333333333333333, 0.04238425925925926, 0.0631712962962963, 0.049305555555555554, 0.013888888888888888, 0.4527777777777778, 0.1400462962962963, 0.05856481481481481, 0.0869675925925926, 0.19011574074074075, 0.07708333333333334, 0.06337962962962963, 0.188125, 1.2062268518518517, 0.1932638888888889, 0.8066435185185186, 0.02039351851851852, 0.3831712962962963, 1.5250231481481482 ], "type_event": [ 1, 0, 1, 0, 1, 7, 9, 8, 4, 4, 1, 7, 6, 10, 9, 7, 1, 8, 7, 7, 7, 8, 9, 11, 1, 1, 7, 0, 0, 0, 7, 6, 8, 7, 8, 9, 4, 4, 6, 9, 7, 3, 9, 7, 4, 0, 6, 4, 8, 1, 7, 4, 7, 7, 4, 4, 8, 9, 7, 4, 7, 4, 7, 0, 7, 9, 1, 9, 1, 0, 7, 7, 7 ], "type_text": [ "Weapons Violation", "Theft", "Weapons Violation", "Theft", "Weapons Violation", "Battery", "Assault", "Other Offense", "Motor Vehicle Theft", "Motor Vehicle Theft", "Weapons Violation", "Battery", "Criminal Damage", "Burglary", "Assault", "Battery", "Weapons Violation", "Other Offense", "Battery", "Battery", "Battery", "Other Offense", "Assault", "Robbery", "Weapons Violation", "Weapons Violation", "Battery", "Theft", "Theft", "Theft", "Battery", "Criminal Damage", "Other Offense", "Battery", "Other Offense", "Assault", "Motor Vehicle Theft", "Motor Vehicle Theft", "Criminal Damage", "Assault", "Battery", "Deceptive Practice", "Assault", "Battery", "Motor Vehicle Theft", "Theft", "Criminal Damage", "Motor Vehicle Theft", "Other Offense", "Weapons Violation", "Battery", "Motor Vehicle Theft", "Battery", "Battery", "Motor Vehicle Theft", "Motor Vehicle Theft", "Other Offense", "Assault", "Battery", "Motor Vehicle Theft", "Battery", "Motor Vehicle Theft", "Battery", "Theft", "Battery", "Assault", "Weapons Violation", "Assault", "Weapons Violation", "Theft", "Battery", "Battery", "Battery" ], "description": "The sequence of crime incidents shows a variety of offenses occurring over time, with certain types of crimes appearing more frequently in specific periods. Early on, weapons violations and thefts are prominent, followed by a noticeable increase in battery incidents as the timeline progresses. Motor vehicle thefts appear clustered later in the sequence, particularly around the 14 to 19-month mark, while other offenses, including criminal damage and assaults, also emerge intermittently throughout the timeline. Overall, there is a trend of increasing frequency and diversity of incidents as time advances, with batteries becoming particularly prevalent in the later months." }, { "dim_process": 20, "seq_idx": 401, "seq_len": 40, "time_since_start": [ 0.0, 2.7131944444444445, 3.0618055555555554, 3.803240740740741, 5.554814814814815, 5.932638888888889, 6.316666666666666, 6.465972222222222, 6.5368055555555555, 6.707638888888889, 7.132638888888889, 7.815972222222222, 7.895138888888889, 8.815277777777778, 9.097916666666666, 9.165972222222223, 11.132916666666667, 11.148125, 11.700694444444444, 11.702685185185185, 12.674305555555556, 12.682638888888889, 13.717175925925925, 13.803171296296297, 14.645092592592592, 15.019768518518518, 15.132291666666667, 15.399328703703704, 15.442476851851852, 16.549305555555556, 16.580717592592592, 16.665324074074075, 17.583587962962962, 17.817013888888887, 18.063194444444445, 18.67349537037037, 19.683009259259258, 21.08125, 21.77986111111111, 22.676643518518517 ], "time_since_last_event": [ 0.0, 2.7131944444444445, 0.3486111111111111, 0.7414351851851851, 1.7515740740740742, 0.3778240740740741, 0.3840277777777778, 0.14930555555555555, 0.07083333333333333, 0.17083333333333334, 0.425, 0.6833333333333333, 0.07916666666666666, 0.9201388888888888, 0.2826388888888889, 0.06805555555555555, 1.9669444444444444, 0.015208333333333334, 0.5525694444444444, 0.001990740740740741, 0.9716203703703704, 0.008333333333333333, 1.034537037037037, 0.08599537037037037, 0.8419212962962963, 0.3746759259259259, 0.11252314814814815, 0.267037037037037, 0.04314814814814815, 1.1068287037037037, 0.03141203703703704, 0.08460648148148148, 0.9182638888888889, 0.23342592592592593, 0.24618055555555557, 0.6103009259259259, 1.0095138888888888, 1.3982407407407407, 0.6986111111111111, 0.8967824074074074 ], "type_event": [ 11, 4, 4, 11, 1, 7, 4, 8, 6, 0, 4, 4, 4, 7, 10, 4, 6, 0, 7, 1, 4, 4, 7, 4, 7, 1, 11, 2, 7, 0, 6, 7, 7, 0, 4, 7, 8, 0, 0, 7 ], "type_text": [ "Robbery", "Motor Vehicle Theft", "Motor Vehicle Theft", "Robbery", "Weapons Violation", "Battery", "Motor Vehicle Theft", "Other Offense", "Criminal Damage", "Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Motor Vehicle Theft", "Battery", "Burglary", "Motor Vehicle Theft", "Criminal Damage", "Theft", "Battery", "Weapons Violation", "Motor Vehicle Theft", "Motor Vehicle Theft", "Battery", "Motor Vehicle Theft", "Battery", "Weapons Violation", "Robbery", "Sex Offense", "Battery", "Theft", "Criminal Damage", "Battery", "Battery", "Theft", "Motor Vehicle Theft", "Battery", "Other Offense", "Theft", "Theft", "Battery" ], "description": "The sequence of crime incidents begins with a robbery occurring first, followed by a series of motor vehicle thefts that cluster within the first few months. As time progresses, there is an increase in various crime types, including battery and theft, which appear frequently in the latter part of the timeline. Notably, motor vehicle thefts continue to be reported consistently throughout the sequence, while other offenses like robbery and weapons violations tend to occur less frequently and are more spread out. The data shows a general trend of increasing crime incidents over time, with certain types, such as battery and theft, becoming more prevalent in the later months." }, { "dim_process": 20, "seq_idx": 402, "seq_len": 61, "time_since_start": [ 0.0, 0.26261574074074073, 0.539537037037037, 1.2903935185185185, 1.5094907407407407, 1.7059953703703703, 1.7313657407407408, 2.5459490740740742, 2.5615740740740742, 4.000115740740741, 5.80462962962963, 6.212962962962963, 6.251018518518518, 6.775393518518518, 6.906365740740741, 7.2466435185185185, 8.197569444444444, 8.234143518518518, 8.272337962962963, 8.43650462962963, 8.484143518518518, 8.774421296296296, 8.80775462962963, 8.990393518518518, 9.70775462962963, 9.943171296296295, 10.529050925925926, 10.564004629629629, 10.567476851851852, 10.702546296296296, 10.710949074074074, 11.003101851851852, 11.154050925925926, 11.368865740740741, 11.74375, 12.607060185185185, 12.608657407407408, 12.835532407407408, 14.474814814814815, 15.254513888888889, 15.563657407407407, 15.754282407407407, 16.911342592592593, 16.938958333333332, 17.61400462962963, 18.24164351851852, 18.253587962962964, 18.29525462962963, 18.313310185185184, 18.876041666666666, 18.877314814814813, 18.885532407407407, 19.465740740740742, 19.688310185185184, 19.791087962962962, 20.25150462962963, 20.33710648148148, 20.539814814814815, 20.665393518518517, 22.654027777777777, 22.761921296296297 ], "time_since_last_event": [ 0.0, 0.26261574074074073, 0.2769212962962963, 0.7508564814814814, 0.21909722222222222, 0.19650462962962964, 0.02537037037037037, 0.8145833333333333, 0.015625, 1.4385416666666666, 1.804513888888889, 0.4083333333333333, 0.03805555555555556, 0.524375, 0.1309722222222222, 0.3402777777777778, 0.950925925925926, 0.03657407407407407, 0.03819444444444445, 0.16416666666666666, 0.04763888888888889, 0.2902777777777778, 0.03333333333333333, 0.18263888888888888, 0.7173611111111111, 0.23541666666666666, 0.5858796296296296, 0.0349537037037037, 0.003472222222222222, 0.13506944444444444, 0.008402777777777778, 0.29215277777777776, 0.15094907407407407, 0.21481481481481482, 0.3748842592592593, 0.8633101851851852, 0.0015972222222222223, 0.226875, 1.6392824074074075, 0.7796990740740741, 0.3091435185185185, 0.190625, 1.1570601851851852, 0.02761574074074074, 0.6750462962962963, 0.6276388888888889, 0.011944444444444445, 0.041666666666666664, 0.018055555555555554, 0.5627314814814814, 0.0012731481481481483, 0.008217592592592592, 0.5802083333333333, 0.22256944444444443, 0.10277777777777777, 0.46041666666666664, 0.08560185185185185, 0.20270833333333332, 0.1255787037037037, 1.9886342592592592, 0.10789351851851851 ], "type_event": [ 9, 7, 7, 0, 0, 6, 8, 9, 0, 9, 4, 0, 8, 6, 4, 9, 7, 9, 7, 6, 9, 0, 1, 4, 6, 11, 4, 6, 7, 4, 9, 11, 4, 4, 7, 13, 6, 4, 1, 9, 11, 6, 7, 7, 4, 7, 6, 6, 6, 7, 7, 11, 7, 9, 9, 9, 9, 8, 7, 9, 0 ], "type_text": [ "Assault", "Battery", "Battery", "Theft", "Theft", "Criminal Damage", "Other Offense", "Assault", "Theft", "Assault", "Motor Vehicle Theft", "Theft", "Other Offense", "Criminal Damage", "Motor Vehicle Theft", "Assault", "Battery", "Assault", "Battery", "Criminal Damage", "Assault", "Theft", "Weapons Violation", "Motor Vehicle Theft", "Criminal Damage", "Robbery", "Motor Vehicle Theft", "Criminal Damage", "Battery", "Motor Vehicle Theft", "Assault", "Robbery", "Motor Vehicle Theft", "Motor Vehicle Theft", "Battery", "Offense Involving Children", "Criminal Damage", "Motor Vehicle Theft", "Weapons Violation", "Assault", "Robbery", "Criminal Damage", "Battery", "Battery", "Motor Vehicle Theft", "Battery", "Criminal Damage", "Criminal Damage", "Criminal Damage", "Battery", "Battery", "Robbery", "Battery", "Assault", "Assault", "Assault", "Assault", "Other Offense", "Battery", "Assault", "Theft" ], "description": "The sequence of crime incidents begins with assaults and batteries occurring early on, followed by a noticeable increase in thefts and criminal damage in the first few months. As time progresses, there is a rise in the frequency of motor vehicle thefts and robberies, particularly around the middle of the timeline. The latter part of the sequence shows a clustering of various offenses, including repeated assaults and batteries, alongside a consistent presence of criminal damage. Overall, the events demonstrate a pattern of escalating crime types and frequency over time, with certain offenses appearing in clusters during specific periods." }, { "dim_process": 20, "seq_idx": 403, "seq_len": 47, "time_since_start": [ 0.0, 0.4671296296296296, 1.6770833333333333, 2.5079861111111112, 3.104861111111111, 3.421527777777778, 3.428472222222222, 3.439791666666667, 4.024305555555555, 4.779861111111111, 6.1517129629629625, 6.9743055555555555, 7.0226851851851855, 7.035185185185185, 7.17613425925926, 7.811805555555556, 7.919444444444444, 8.370833333333334, 9.548912037037036, 9.683472222222223, 10.088194444444444, 10.450717592592593, 12.66650462962963, 12.700810185185185, 12.973611111111111, 14.010416666666666, 15.302314814814816, 15.534027777777778, 15.832638888888889, 16.338379629629628, 16.802083333333332, 16.905231481481483, 17.384027777777778, 17.47337962962963, 18.845300925925926, 18.885416666666668, 19.13914351851852, 19.939791666666668, 20.049050925925926, 20.575694444444444, 20.95347222222222, 22.38212962962963, 22.97222222222222, 22.990925925925925, 23.188287037037036, 23.37150462962963, 23.520324074074075 ], "time_since_last_event": [ 0.0, 0.4671296296296296, 1.2099537037037038, 0.8309027777777778, 0.596875, 0.31666666666666665, 0.006944444444444444, 0.011319444444444444, 0.5845138888888889, 0.7555555555555555, 1.3718518518518519, 0.8225925925925925, 0.04837962962962963, 0.0125, 0.1409490740740741, 0.6356712962962963, 0.1076388888888889, 0.4513888888888889, 1.1780787037037037, 0.13456018518518517, 0.4047222222222222, 0.3625231481481481, 2.215787037037037, 0.034305555555555554, 0.2728009259259259, 1.0368055555555555, 1.2918981481481482, 0.23171296296296295, 0.2986111111111111, 0.5057407407407407, 0.46370370370370373, 0.10314814814814814, 0.4787962962962963, 0.08935185185185185, 1.3719212962962963, 0.040115740740740743, 0.25372685185185184, 0.8006481481481481, 0.10925925925925926, 0.5266435185185185, 0.37777777777777777, 1.4286574074074074, 0.5900925925925926, 0.018703703703703705, 0.1973611111111111, 0.1832175925925926, 0.14881944444444445 ], "type_event": [ 10, 7, 0, 7, 3, 0, 0, 7, 8, 7, 5, 0, 6, 6, 7, 4, 4, 10, 7, 1, 0, 9, 11, 11, 7, 4, 0, 4, 3, 7, 11, 6, 4, 7, 6, 4, 8, 7, 1, 3, 4, 7, 4, 6, 7, 1, 6 ], "type_text": [ "Burglary", "Battery", "Theft", "Battery", "Deceptive Practice", "Theft", "Theft", "Battery", "Other Offense", "Battery", "Criminal Trespass", "Theft", "Criminal Damage", "Criminal Damage", "Battery", "Motor Vehicle Theft", "Motor Vehicle Theft", "Burglary", "Battery", "Weapons Violation", "Theft", "Assault", "Robbery", "Robbery", "Battery", "Motor Vehicle Theft", "Theft", "Motor Vehicle Theft", "Deceptive Practice", "Battery", "Robbery", "Criminal Damage", "Motor Vehicle Theft", "Battery", "Criminal Damage", "Motor Vehicle Theft", "Other Offense", "Battery", "Weapons Violation", "Deceptive Practice", "Motor Vehicle Theft", "Battery", "Motor Vehicle Theft", "Criminal Damage", "Battery", "Weapons Violation", "Criminal Damage" ], "description": "The sequence of crime incidents shows a varied pattern of offenses occurring over time. Initially, there is a mix of burglaries and batteries, with thefts starting to appear shortly after. As time progresses, there is a noticeable clustering of battery incidents, particularly around the mid to late stages, alongside a significant rise in motor vehicle thefts. Criminal damage and weapons violations also emerge more frequently in the latter part of the timeline, indicating a shift in the types of crimes reported as time advances. Overall, the sequence reflects a progression from a diverse range of crimes to a concentration of specific offenses in later months." } ]