results.py

from fasthtml.common import *
from fasthtml.components import *
import json
from fh_plotly import plotly2fasthtml
from plotly import graph_objects as go
import pandas as pd
import plotly.express as px

#Perplexity Across Different Buckets (global)
# The data you provided
DATA = [
    ["2014", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [17.410227605477868, 16.11176217183986, 15.632757662414805, 15.446116676532212, 16.716943171826703, 18.156821563322765]]],
    ["2015", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [17.446573602753478, 16.14852530113782, 15.627408549576069, 15.0055028132117, 15.565430373421485, 17.314701050452452]]],
    ["2016", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [17.307221780905284, 16.297702171159543, 15.948641884223639, 14.799690714225637, 14.935989931859659, 16.09585768919658]]],
    ["2017", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [17.338525603992114, 15.960924352297502, 15.912187993988933, 14.822102470001267, 14.778913482337416, 15.428145290012955]]],
    ["2018", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [17.08551151136689, 16.187802102106698, 14.935072408852303, 14.832038213200583, 14.508674264491997, 14.800605964649103]]],
    ["2019", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [16.818363305107052, 16.474269837858706, 14.944741674400241, 14.568394784374943, 14.690158822673334, 15.990949424635108]]],
    ["2020", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [16.98821894111693, 15.936494557783181, 14.79960386342691, 14.435682562274105, 14.58651834886038, 15.869365567783806]]],
    ["2021", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [17.125795647512877, 15.780419457145868, 14.631430892394002, 14.276477514399625, 14.337146941773641, 15.872474774329305]]],
    ["2022", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [16.573462144306383, 15.283018703313582, 14.378277745163881, 14.0611924390084, 13.9886330091318, 15.769421394877273]]],
    ["2023", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [15.4293630385597, 14.608379914730168, 14.118271697056592, 13.880215644749589, 13.767106666731275, 15.05749135510839]]]
]

# Extract ranges (buckets) and years
ranges = DATA[0][1][0]
years = [year_data[0] for year_data in DATA]
all_values = [year_data[1][1] for year_data in DATA]

# Create the figure
fig = go.Figure()

# Add a trace for each year
for i, year in enumerate(years):
    values = all_values[i]
    fig.add_trace(go.Scatter(x=ranges, y=values, mode='lines+markers', name=year))

# Update layout
fig.update_layout(
    title="Perplexity Versus Buckets for Different Years",
    xaxis_title="Buckets",
    yaxis_title="Perplexity",
    legend_title="Years",
    hovermode="x unified"
)

Perplexity_Across_Different_Buckets_global_graph = fig

import plotly.graph_objects as go

# The data you provided
DATA = [
    ["2014", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [17.410227605477868, 16.11176217183986, 15.632757662414805, 15.446116676532212, 16.716943171826703, 18.156821563322765]]],
    ["2015", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [17.446573602753478, 16.14852530113782, 15.627408549576069, 15.0055028132117, 15.565430373421485, 17.314701050452452]]],
    ["2016", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [17.307221780905284, 16.297702171159543, 15.948641884223639, 14.799690714225637, 14.935989931859659, 16.09585768919658]]],
    ["2017", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [17.338525603992114, 15.960924352297502, 15.912187993988933, 14.822102470001267, 14.778913482337416, 15.428145290012955]]],
    ["2018", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [17.08551151136689, 16.187802102106698, 14.935072408852303, 14.832038213200583, 14.508674264491997, 14.800605964649103]]],
    ["2019", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [16.818363305107052, 16.474269837858706, 14.944741674400241, 14.568394784374943, 14.690158822673334, 15.990949424635108]]],
    ["2020", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [16.98821894111693, 15.936494557783181, 14.79960386342691, 14.435682562274105, 14.58651834886038, 15.869365567783806]]],
    ["2021", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [17.125795647512877, 15.780419457145868, 14.631430892394002, 14.276477514399625, 14.337146941773641, 15.872474774329305]]],
    ["2022", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [16.573462144306383, 15.283018703313582, 14.378277745163881, 14.0611924390084, 13.9886330091318, 15.769421394877273]]],
    ["2023", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [15.4293630385597, 14.608379914730168, 14.118271697056592, 13.880215644749589, 13.767106666731275, 15.05749135510839]]]
]

# Extract years and ranges (buckets)
years = [year_data[0] for year_data in DATA]
ranges = DATA[0][1][0]
all_values = [year_data[1][1] for year_data in DATA]

# Create the figure
fig = go.Figure()

# Add a trace for each range (bucket)
for i, range_label in enumerate(ranges):
    values = [year_values[i] for year_values in all_values]
    fig.add_trace(go.Scatter(x=years, y=values, mode='lines+markers', name=range_label))

# Update layout
fig.update_layout(
    title="Perplexity over Time by Buckets",
    xaxis_title="Year",
    yaxis_title="Perplexity",
    legend_title="Buckets",
    hovermode="x unified"
)

# Show the plot

Perplexity_Across_Different_years_graph = fig

#graph 3 tbd

data = {
    "2014": {
        "x": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300], 
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    },
    "2015": {
        "x": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300], 
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13.86749342599449, 13.645786331176726, 13.660817039716257, 13.638011389586667, 13.732387353692099, 13.687686391049773, 13.94728981311995, 13.614547412507926, 13.460552695752389, 13.857074456574574, 13.660326212827487, 13.718393121459215, 13.76973846040823, 13.778762864123724, 13.656959991670522, 14.214462072816556, 13.622739420457773, 13.645227120727897, 13.687497326712435, 13.649272554141808, 13.503550000252996, 14.052494437028535, 13.580311058963396, 14.14017314736784, 13.64182000911326, 13.886936632170794, 13.942674178813384, 13.801754161915504, 13.931144818346747, 13.584651322907064, 13.960391830857033, 14.178873989248789, 13.645923431288137, 13.97423140921055, 13.669569353257327, 13.915331700422486, 13.827145087821776, 13.736836827537942, 13.74766543270326, 13.770318536193258, 13.721033560006754, 13.710191655241298, 13.72744974500201, 13.845900599098753, 13.678446729208007, 13.902643304888189, 13.885717101405227, 13.800092557910519, 13.421930828385424, 14.22006344809192, 13.879986040380091, 14.134020605148754, 13.828712030750555, 13.713190050100788, 13.670401789346878, 13.948423234333882, 13.84481181587886, 13.818908981670926, 13.74582730003707, 13.94097096205736, 14.180988587482524, 13.792218775776533, 13.684855627228844, 13.881739174231223, 13.998746647008945, 14.576445279868192, 13.977974630190932, 13.537548783758675, 13.793279757360363, 13.712674433009878, 13.758696209000801, 13.912382937440464, 14.340144810498328, 14.03279240397904, 13.889996587251982, 13.862065986515601, 13.712302898403514, 13.797613183843772, 13.847295441275936, 14.422108283887903, 13.900169262027397, 14.247783256416513, 14.02056653491548, 13.99526374998638, 13.69358071050138, 13.828640744267325, 14.01321596237364, 13.824657271537166, 13.683602248925892, 13.933987455146445, 13.993921243916123, 13.720966315955001, 13.890770809341586, 13.426961283787957, 13.789886238259456, 13.904131224083592, 13.697354217113691, 13.710497864728065, 14.683006531539148, 14.315759264484964, 14.034699751802846, 13.890948305458895, 14.038907287423818, 13.298757873288494, 14.037824844116592, 14.162250808384407, 13.947058195824253, 13.806653590867487, 13.980386450979841, 13.667273172120268, 14.201737731565034, 14.447849496372461, 14.018697147254176, 14.002315381014313, 14.15231239942244, 13.73719042552595, 14.033594655653038, 14.03087108296539, 13.782578520604822, 13.660908086958573, 14.205910336717215, 13.930322566343703, 14.300591211697906, 13.808749910964323, 13.8076208806989, 14.169819824542373, 14.067537576689853, 14.306124453553517, 13.56827905088618, 13.592634469105525, 13.789396713937975, 13.853464456609156, 13.855768885291056, 13.710464058237172, 13.641314331273772, 14.295528532894258, 14.04977108393012, 14.153384726345907, 13.385524853965638, 13.484650040422745, 13.831061312642468, 14.15298734516191, 14.20289531849528, 14.116529526532855, 13.767652893233096, 13.715924776449405, 14.649027392365024, 13.603310028324861, 14.10228343978809, 13.704762155010586, 13.731715455443299], 
    },
}
for year, year_data in data.items():
    fig.add_trace(go.Scatter(
        x=year_data['x'], 
        y=year_data['y'], 
        mode='lines+markers', 
        name=f"Year {year}",
        line_shape='linear'
    ))

# Update layout
fig.update_layout(
    title="Perplexity vs. Number of Duplicate Documents Over Years",
    xaxis_title="Number of Duplicate Documents",
    yaxis_title="Average Perplexity",
    legend_title="Year",
    hovermode="x unified"
)

graph3 = fig

##graph 4

# Data
data = {
    "2014": [[1, 2, 3, 4, 5, 6, 7], [16.82572561037536, 15.568688184472002, 15.81492345088457, 15.206355227978303, 14.957766124315622, 15.0626618458479, 14.868694970954875]],
    "2015": [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14], [16.89591942700286, 16.065453332424525, 16.27127382267357, 15.98729389349345, 15.820859416672139, 15.607600911192797, 15.110138119917048, 14.775887397593593, 14.660655022362318, 14.588547400309, 14.55020529201701, 14.60127048285861, 14.629467286160864, 14.724440862889]],
    "2016": [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23], [16.937063110995666, 16.159401045667217, 16.24178377816029, 16.073494730595225, 15.774737597940442, 15.621947075605162, 15.652955728810767, 15.490807185265608, 15.107547930881259, 14.976802818244652, 14.84517846815987, 14.839768640933237, 14.794471716989547, 14.63826024444852, 14.57725826735028, 14.446983381957654, 14.357863327746747, 14.370146480850329, 14.207796791759758, 14.067617540013867, 13.968037234662484, 14.015386030957798, 14.240341030736081]],
    "2017": [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34], [16.731010662045737, 16.534529481773635, 16.624818021435388, 16.6027968727952, 16.309053610063657, 15.897351021398148, 15.28125612085656, 15.247650153402024, 15.254523671401472, 14.914419299947483, 14.734687782223004, 14.78413990847839, 14.632065773173599, 14.553246204352645, 14.566566717229817, 14.598997883895558, 14.630837564582592, 14.577208610859856, 14.519413074334954, 14.378498447103155, 14.230943065441672, 14.21486380216727, 14.267422050116286, 14.281606945252474, 14.285535565035358, 14.267266452303197, 14.183136371592417, 14.148268300539986, 14.21036055571916, 14.403658436211263, 14.07740471177247, 13.978242496152737, 14.002633023111342, 13.921442192327655]],
    "2018": [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46], [16.36546565307699, 16.40198820766892, 16.223802437472045, 15.876190858008776, 15.67866795074444, 15.06202559354935, 14.90395971116697, 14.678203166785968, 14.584307457124408, 14.566603376547835, 14.716527825876883, 15.325114798824192, 15.153635738494962, 15.02749650458142, 15.001501640976104, 14.928437622685198, 14.82066263298361, 14.821925418558614, 14.766538823073754, 14.742836908980854, 14.56365471694568, 14.676889493065413, 14.554327268897188, 14.532997117657752, 14.424665661602356, 14.498427111442304, 14.503622356394782, 14.465294436509943, 14.238209588803269, 14.138531026657803, 14.11633073136879, 14.139167312709546, 14.018054330979824, 13.99555243574117, 13.944770385859002, 13.893353445566834, 14.062344563726617, 13.93602183204734, 14.021518977400955, 14.205273479299835, 14.476114932821364, 14.707612238290547, 14.403724822460271, 14.134464626849528, 14.444143421676507, 14.372513155481114]], 
    "2019": [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58], [16.430122616908218, 16.959894024725404, 17.530494343918114, 16.868158683774006, 15.881925908038214, 15.534071764082064, 15.131599277920825, 14.912091189771328, 14.670101527122705, 14.591504400695127, 14.405999306200146, 14.445437111619501, 14.460150974610382, 14.484377024024335, 14.454923933668082, 14.419367200283267, 14.413528998792588, 14.362242243379736, 14.326113076490996, 14.296366861932851, 14.241137636937816, 14.199018730937293, 14.229939247452181, 14.136900232594229, 14.118747592622253, 14.084639441555339, 14.215359965064522, 14.321335291582407, 14.324483466296755, 14.22250351319463, 14.086153725088337, 13.835546707594524, 13.861133395338289, 13.943395906095482, 13.924621051048792, 13.978711084778347, 13.905837106100599, 13.895058375110484, 13.965442215811176, 13.960110799963521, 13.99641930380663, 14.036529641608142, 14.138294825947872, 14.3360579115842, 14.381214824082278, 14.389155929858507, 14.645175007732961, 14.477402464547152, 14.51444505845359, 14.452153618691407, 14.369430039316658, 14.777857326947053, 14.919588044831785, 14.44053007434645, 15.18596756335163, 15.362545102466955, 14.19095014510728, 14.974116009038374]],
    "2020": [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67], [16.370879996210345, 15.8912555858172, 15.30157381561316, 15.461362783916728, 15.499602726814674, 15.329200065422526, 15.15238010628145, 14.763158730707703, 14.554444724050978, 14.391542531017906, 14.36062417910266, 14.38408773153761, 14.326398992080678, 14.30559398460406, 14.296620966953196, 14.257641523080219, 14.239785079623704, 14.257963344315925, 14.242187947481078, 14.227247960684823, 14.246528806504662, 14.218691858857001, 14.119027315863725, 14.16049126937658, 14.1393355330565, 14.045446781499932, 14.157717833319223, 14.118844952908322, 14.196031529646438, 14.213151244097208, 13.961708881578405, 13.933434907040512, 13.851967361230258, 13.837032186918211, 13.83609308408103, 13.74084041793037, 13.725470779946555, 13.828238575588477, 13.821753201986834, 13.81152543072784, 13.848104780631868, 13.867032605563987, 13.91567734841802, 13.951714207206178, 14.049401288158215, 14.000020142532282, 14.097054408814992, 13.973915015915077, 14.001305792897133, 14.144447551433583, 14.259794771973013, 14.451580305620148, 14.51523695971965, 14.491781843544896, 14.282130970472108, 15.107471010795585, 14.507809743534436, 14.521069179252333, 14.434674191986367, 14.608533166251355, 14.638444470251414, 14.533496524040576, 14.798278071146985, 14.426231926251468, 14.697215649677831, 16.000970311873413, 15.962112261396376]], 
    "2021": [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76], [16.40998076014569, 16.214064988829055, 16.102423371338, 15.61960664445389, 15.365806380257993, 15.258505702187641, 14.987691202287733, 14.702934989974425, 14.47618699872759, 14.27294780183996, 14.149902488372312, 14.205153888507418, 14.180406523176302, 14.179162306409303, 14.148172641684653, 14.146789562089962, 14.13207546325995, 14.095045629570848, 14.11059784727951, 14.099774964675055, 14.123404475264994, 14.04205645064162, 14.071957340879374, 14.076002230293538, 13.997579723886533, 14.055982816834012, 13.969566421026498, 14.044197137615983, 13.970800321234117, 13.991254850488748, 13.882773884993162, 13.878676595695538, 13.738534890032913, 13.731264526843741, 13.743931319054433, 13.744385448034985, 13.654269807446708, 13.649793785589242, 13.659669286701138, 13.70981039304929, 13.706017327034093, 13.793638036031938, 13.820253019972634, 13.895844222751752, 13.805532005211788, 13.879969410141696, 13.918667434527839, 13.905080860878972, 13.928649229766597, 13.92971106121914, 14.027211058825408, 13.869387194129342, 14.002439547556614, 14.197189244986761, 14.171599593405029, 14.189026952927275, 14.317088413682809, 14.266884102594418, 14.419819049388389, 14.394102801112203, 14.28486572885178, 14.463889605992794, 14.33813105749612, 14.49991185507524, 14.143521529230846, 14.020378845184027, 13.929518285869944, 14.785566241242854, 14.273112202537183, 14.214773231874327, 15.148250280334482, 14.563912283938823, 14.552655401047055, 15.103655560583926, 15.10169368308145, 15.51226670578053]], 
    "2022": [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82], [15.816438075969113, 16.09580666529207, 15.996333190110686, 15.943848815283268, 15.656093894572393, 15.117394092950262, 14.78287160043243, 14.543141634926663, 14.305058018637094, 14.125611753367533, 14.020067247129745, 14.009478965058692, 14.001669618595649, 13.985248005578073, 13.973728782674742, 13.977117237954532, 13.937202607945661, 13.935625722728988, 13.910945770197134, 13.893835251097759, 13.89679037463924, 13.881064193374637, 13.904299030382344, 13.904090626213797, 13.888526913768459, 13.838568567514612, 13.829178463025315, 13.835043064902585, 13.81757570730985, 13.776370281729609, 13.762638676519028, 13.755074572847866, 13.70045870380896, 13.636805800875507, 13.621671132216942, 13.633589926779942, 13.602080944483301, 13.555848610415586, 13.558904660155596, 13.515784046498322, 13.609062507319349, 13.583137427458137, 13.483909540769114, 13.552547586090368, 13.598431457952788, 13.553603210491028, 13.57678073518515, 13.638974685844074, 13.536340332636364, 13.665029112653803, 13.792584632059397, 13.694618901117751, 13.76826442085512, 13.712141215124436, 13.606927085734855, 13.715251358141709, 13.832372298562165, 13.833057817510603, 14.158282794215733, 13.720855464980609, 13.803417413649743, 13.969854384335488, 13.892171370159991, 13.778269401162506, 14.338216122354686, 13.954993084366778, 14.124621205791534, 14.23737489353975, 13.735373769168353, 14.680642990647039, 14.955805632680471, 14.657580957949671, 14.515390831490835, 14.664661248141265, 14.497750142907295, 14.662641057721332, 14.889760996859867, 14.044358215057608, 14.201835355776206, 15.739648390380614, 16.209835613545337, 16.152241961523004]], 
    "2023": [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87], [14.789164834058647, 14.816940361326127, 14.859128791010018, 14.874353138456074, 14.799558338831533, 14.521955875294703, 14.344439116861626, 14.188768591243738, 14.068214649484007, 13.975247139727212, 13.892361806680233, 13.873812682757855, 13.855623423924795, 13.834034581531931, 13.820704041290954, 13.809345726828388, 13.799809305012891, 13.783733425983497, 13.777650159371621, 13.769295261894937, 13.759922637457876, 13.763157283741176, 13.746892077566258, 13.76043892787152, 13.780799936451544, 13.769219249583701, 13.776107653632701, 13.791395904208231, 13.796017873163873, 13.793511195440795, 13.752832872061946, 13.744140909741626, 13.708291014183953, 13.71791539682566, 13.687888739966342, 13.639779981608498, 13.60820604942688, 13.647619221630219, 13.586732110007599, 13.578824230397977, 13.56286775189147, 13.54887132723798, 13.528005768240323, 13.562278263274335, 13.50423334091739, 13.534814940452101, 13.500524731734556, 13.50415611423685, 13.539792624454682, 13.524280636462276, 13.508635254011224, 13.559898859515048, 13.52340866000508, 13.580987242413414, 13.55406078682323, 13.51949982056399, 13.554946096777044, 13.582384634669271, 13.596405485832927, 13.56397157046417, 13.50076890156882, 13.5996552161972, 13.640177272640555, 13.488306430506505, 13.561144538501607, 13.538229936728902, 13.523274401746107, 13.549803559768709, 13.473822808409837, 13.604196078834873, 13.495970010370977, 13.511897788189435, 13.480753572940852, 13.790758773339501, 13.507154643917646, 13.451282820788672, 13.690887252346345, 13.752272760476266, 13.844969190718858, 13.547043033265561, 14.011397551896307, 13.686917203544905, 13.87527368747695, 13.86828531076653, 14.200910595590095, 14.228639023300655, 14.830844952562549]], 
}

# Create figure
fig = go.Figure()

# Add a line for each year
for year, values in data.items():
    x_values = values[0]  # Dumps duplication count
    y_values = values[1]  # Average perplexity
    
    fig.add_trace(go.Scatter(
        x=x_values, 
        y=y_values, 
        mode='lines+markers',
        name=year
    ))

# Update layout
fig.update_layout(
    title="Perplexity Across Different Dump Duplication Counts (global)",
    xaxis_title="Number of Dumps Duplication",
    yaxis_title="Average Perplexity",
    legend_title="Year"
)

# Show figure
graph4 = fig

#graph 5

# Data
data = {
    "2014": [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [14.993513389984585, 14.011578085529056, 13.85873136108517, 14.36377987125267, 15.699475274542996, 17.613998844460845]],
    "2015": [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [14.471687658163091, 13.778144432139904, 14.021706888859466, 14.434268636964038, 15.738483406741972, 17.840661656870072]],
    "2016": [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [14.438546004899326, 13.785269267918505, 14.181493168285378, 14.616607805125264, 16.2678738383595, 18.109357061988614]],
    "2017": [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [14.567324655164636, 13.93914285288248, 14.443292405833132, 14.749691886458645, 17.212768319133406, 18.09921482533539]],
    "2018": [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [14.79413309579284, 14.047920703385312, 14.732393204862687, 15.245556746489475, 17.523092460922793, 17.979494192145445]],
    "2019": [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [14.755894620552562, 14.061328527771183, 14.921709511248036, 15.746644701243795, 17.6501867538675, 18.65346532837317]],
    "2020": [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [14.808975955128705, 14.075864850752456, 14.857958945409392, 15.491042607097183, 17.423084409503307, 17.519155049505677]],
    "2021": [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [14.97373049489925, 14.044277002343486, 14.943719820749207, 15.730257843247038, 17.289265921502192, 17.00252056705296]],
    "2022": [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [14.865869368871065, 14.028544413850119, 14.920117888974543, 15.693608290158098, 17.33525765189499, 17.724085896005107]],
    "2023": [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [14.499660832882716, 13.98118612654411, 14.86417535071986, 15.440738449977292, 16.94447963146979, 16.40768745134217]]
}

# Create figure
fig = go.Figure()

# Add a line for each year
for year, values in data.items():
    x_values = values[0]  # Buckets (duplicate count range)
    y_values = values[1]  # Average perplexity
    
    fig.add_trace(go.Scatter(
        x=x_values, 
        y=y_values, 
        mode='lines+markers',
        name=year
    ))

# Update layout
fig.update_layout(
    title="Perplexity Across Different Buckets (local)",
    xaxis_title="Bucket (Duplicate Count Range)",
    yaxis_title="Average Perplexity",
    legend_title="Year"
)

# Show figure
graph5 = fig

#graph 6

import plotly.graph_objects as go

# Data
data = {
    "2014": {
        "x": list(range(1, 88)),
        "y": [16.82572561037536, 15.5729544573954, 15.76916326514348, 15.186302038671778, 14.936809838870326, 
              15.001743417469209, 14.864349796797914, 14.66090559477578, 14.50521188055062, 14.429989457983405, 
              14.44107090883399, 14.523867649934015, 14.515728033558386, 14.52893012438083, 14.3872701582485, 
              14.225935934612775, 14.161270385625249, 14.193552536884559, 14.107559093534066, 14.045872060793387, 
              13.98606116940174, 13.996535021107574, 14.068451357323962, 14.095424742580935, 14.104930415857556, 
              14.164512298046297, 14.205441475464172, 14.190478352923273, 14.080583365838212, 14.017757335246573, 
              13.914391577020234, 13.860680803527211, 13.709718483172745, 13.671102868173037, 13.641967377585344, 
              13.610477152664181, 13.589404166531697, 13.574364349432603, 13.588675304139612, 13.608431855502594, 
              13.602022539289871, 13.577550630742646, 13.5388901112764, 13.586266218232485, 13.543364159175262, 
              13.530598188250648, 13.5415846166861, 13.518331785106323, 13.533012163841759, 13.505063315507076, 
              13.546433152010087, 13.571041150558058, 13.538517630502037, 13.589716598763259, 13.542375131110317, 
              13.551229472032986, 13.577615792486487, 13.580265758570304, 13.611791663131656, 13.563252675321158, 
              13.496554744217198, 13.573611486889268, 13.619417346323402, 13.500110681053787, 13.606494277444822, 
              13.51758492586705, 13.509290876196683, 13.637653184648098, 13.453927168439604, 13.677712744726351, 
              13.586150504785195, 13.508649309624724, 13.427111951862848, 13.800940000499685, 13.540635679680195, 
              13.506572883300588, 13.723957125925423, 13.69941910754067, 13.830916622405972, 13.61477646698581, 
              14.050670659742897, 13.707871486489617, 13.879222794014064, 13.838270894748867, 14.189041030733511, 
              14.221410654489386, 14.830844952562549]
    },
    "2015": {
        "x": list(range(1, 88)),
        "y": [16.89591942700286, 15.993069023056673, 16.243349252734195, 16.110419584106467, 15.982982023217136, 
              15.780412452462956, 15.311492684065183, 14.985452841100962, 14.736003632647204, 14.643740634573437, 
              14.581818722981641, 14.61206887509358, 14.60310477647637, 14.58283877743656, 14.456739625003323, 
              14.371166857791525, 14.31983561927552, 14.324744175103753, 14.230377570291408, 14.172400195643684, 
              14.074979303784101, 14.06637978929149, 14.129765267158923, 14.144182701579643, 14.127393749297303, 
              14.170954937339665, 14.198905272060887, 14.177619224859075, 14.073073703918407, 14.014468948454157, 
              13.91281662387792, 13.866047771993978, 13.718029097387152, 13.680243640703553, 13.648583428855366, 
              13.620824659009545, 13.599252706541842, 13.582576892167687, 13.59570512552313, 13.620006512175056, 
              13.61371460828329, 13.58747315850088, 13.553159834309662, 13.595855683037627, 13.555194351409998, 
              13.545131292437988, 13.55533031134806, 13.53176578053929, 13.545627399503374, 13.52324264159441, 
              13.56019390924936, 13.584765148382376, 13.567436274268637, 13.613633832001781, 13.56834903785532, 
              13.564886395063189, 13.585588042180726, 13.59211972866627, 13.636661940057897, 13.583630103422175, 
              13.517621040928827, 13.621723155241801, 13.644527863238189, 13.52150990576411, 13.63020958334669, 
              13.54428783928786, 13.53725206048877, 13.647484409192606, 13.490519893023992, 13.683557383784123, 
              13.623112173204985, 13.558759376238477, 13.498783050518579, 13.848023903419993, 13.565373956282203, 
              13.524041036650617, 13.747948319462374, 13.741843984167335, 13.851135619804712, 13.592769333513887, 
              14.059753132138649, 13.714031759165366, 13.87123035917049, 13.863386012094978, 14.205561271109257, 
              14.22054632648026, 14.830844952562549]
    },
    "2016": {
        "x": list(range(1, 88)),
        "y": [16.937063110995666, 16.13008897039131, 16.461262248281052, 16.22524701869722, 16.07512945589454, 15.81169518738005, 15.401255747943388, 15.290536877276061, 15.189318784104037, 14.892680148096144, 14.874941231589043, 15.197590171491255, 14.874108876718813, 14.772934695761471, 14.717224961147101, 14.579633089306332, 14.50655782645537, 14.435927961362305, 14.348044387963261, 14.266921166623963, 14.175146176030633, 14.155440421923364, 14.193605317227636, 14.198019720781069, 14.163648287310021, 14.204946332399512, 14.22475496545738, 14.204790263028082, 14.093780256147781, 14.034401436018054, 13.932675009733511, 13.882052276281941, 13.74135284070189, 13.70495830877455, 13.67945861250605, 13.646286996486673, 13.62871684949669, 13.617194154766194, 13.625737566495989, 13.647397208854517, 13.644435990272989, 13.61908161116556, 13.579719730143186, 13.62432154955091, 13.586802920088218, 13.575059311720242, 13.583160915709527, 13.560181345211744, 13.568315314106055, 13.572213203030019, 13.592269857254504, 13.615523084934742, 13.59675061839986, 13.652762841246345, 13.605972800137922, 13.599797687151108, 13.61588443406148, 13.635017100727426, 13.67797680326676, 13.61550407767841, 13.549525029810649, 13.646426348264216, 13.685855644417883, 13.557730732623456, 13.654494917893674, 13.598966492740331, 13.596850824269557, 13.67606211623268, 13.531829321066132, 13.736041595486006, 13.66155540112554, 13.622341728732476, 13.576672515819212, 13.865689693447742, 13.593823653503895, 13.549026603238106, 13.757031791888123, 13.764537976595522, 13.887154797262793, 13.612757682949674, 14.062295065487943, 13.702773103249053, 13.887824206090368, 13.868971352456365, 14.206954791830077, 14.23126212995893, 14.830844952562549],
    },
    "2017": {
        "x": list(range(1, 88)),
        "y": [16.731010662045737, 16.66489684871436, 16.568296606954515, 16.437855314705402, 15.977926296110395, 15.325063337637374, 14.928282696800443, 14.738959466164316, 14.615199372327732, 14.491701731769748, 14.38837234689295, 14.579509085357541, 14.486096782010588, 14.386514742964506, 14.328783257345318, 14.247944995447972, 14.19065895107961, 14.17354382678591, 14.151039883117742, 14.102188877847754, 14.076004337973803, 14.044354444990084, 14.021645356806046, 14.030621721602873, 14.020477810045843, 14.031701258052667, 14.04171400712978, 14.043074023094446, 13.995387210524175, 13.989640260692584, 13.926046401793304, 13.898066232753337, 13.796470656270547, 13.780012350603617, 13.751151287426516, 13.721059118625764, 13.704432047525122, 13.69302750426319, 13.691196863860615, 13.720022791468368, 13.713297481354758, 13.673499420782665, 13.640347860637759, 13.689388371843485, 13.642074890212623, 13.641953443289871, 13.639384501232673, 13.60468612819505, 13.615030447011026, 13.622517997479935, 13.636776517056651, 13.646713543499644, 13.642553869063399, 13.670086160771016, 13.629072087229995, 13.644023633211804, 13.662921343294622, 13.663979848619121, 13.72041962705924, 13.653883587863746, 13.598487708047587, 13.679216506372514, 13.729500926935524, 13.59184630155257, 13.670119193506638, 13.606578039356629, 13.58912160797548, 13.662329284657567, 13.534494438724048, 13.673846450840824, 13.63996498360781, 13.62694917771645, 13.569375400530905, 13.86109411358942, 13.573009950696505, 13.521398904176095, 13.737765136250907, 13.73947064730135, 13.851957566097216, 13.591944403455463, 14.047275913134344, 13.706497861963147, 13.8752419700006, 13.852410962776265, 14.207173465915606, 14.225732066062445, 14.830844952562549],
    },
    "2018": {
        "x": list(range(1, 88)),
        "y": [16.36546565307699, 16.45401827941957, 16.3552192563823, 16.073789764186234, 15.71971918795885, 15.261114192297178, 14.951234486665056, 14.689367076535861, 14.518128318670973, 14.390099476525092, 14.259121880707934, 14.322341013577667, 14.269149775349785, 14.22657504335791, 14.17831063712821, 14.129362751026134, 14.091233660298563, 14.065699851355896, 14.045897986269743, 14.009922933506038, 14.008946008943926, 13.986948087868985, 13.96676299568112, 13.974589147811011, 13.981182540647008, 13.988178680995725, 14.022037638217835, 14.067236496270958, 14.02773875655739, 14.008012013219155, 13.96047327707988, 13.941545910212922, 13.874283503971592, 13.872319571354534, 13.848819496944696, 13.818989807687052, 13.795278583261243, 13.805582941066566, 13.77608884517368, 13.808300541084458, 13.801215406173135, 13.77460925841957, 13.749962347541663, 13.788585819175475, 13.738353323889454, 13.748267848539136, 13.743909070082335, 13.70094253905992, 13.695566142077064, 13.715120021384273, 13.717879111446795, 13.729262136679193, 13.722322759559463, 13.741817617080867, 13.695797507509411, 13.7303223115229, 13.721142524694981, 13.731183807899438, 13.774251666658795, 13.703270226348065, 13.650013779539329, 13.737063911330598, 13.771299601507252, 13.61035413656345, 13.692911759706188, 13.645478213049078, 13.632427440948039, 13.685353855181187, 13.536951397436473, 13.722996576069109, 13.684668668827719, 13.654991978676541, 13.571293959475197, 13.901327051067131, 13.590409846183357, 13.555280671785631, 13.801358266402337, 13.759891436212222, 13.877447278904341, 13.601070277589484, 14.053793686670241, 13.74239252938787, 13.856380061979658, 13.86653563573893, 14.207967017152274, 14.2295264543635, 14.830844952562549],
    },
    "2019": {
        "x": list(range(1, 88)),
        "y": [16.430122616908218, 16.875051086326838, 17.248145032061572, 16.40581365808372, 15.774430714575988, 15.432767149001718, 15.145763219926579, 14.799558762994192, 14.497109888060386, 14.314004689580893, 14.165230875628717, 14.132599998200735, 14.112646717547443, 14.08981745552461, 14.071275351524006, 14.055953745980803, 14.036895611705631, 14.010822458772108, 13.994688510028434, 13.981568297524671, 13.973131490690857, 13.960851307613188, 13.950407299676206, 13.957766631077842, 13.963923860192619, 13.94968503524683, 13.95489134897448, 13.977622152992309, 13.976393846039631, 13.993956516762394, 13.953670292574621, 13.955101324894523, 13.921696126960061, 13.922513268517232, 13.904228567859588, 13.878944392338122, 13.836936389689685, 13.858488953034747, 13.826255387319108, 13.821733497321453, 13.810924551284534, 13.788436757401502, 13.768651883781944, 13.803381095808694, 13.749861429185598, 13.766023951467982, 13.755033569040371, 13.733275547786105, 13.72346431637034, 13.742887974648536, 13.737327971523658, 13.755247742270127, 13.742754785888708, 13.774345891745789, 13.728724104358966, 13.745302135799491, 13.734638471314582, 13.7609514564792, 13.779567132297817, 13.70364460650017, 13.66329614928825, 13.77103900712268, 13.794109949823657, 13.621080526861675, 13.685285026135551, 13.645675824035878, 13.640254544445797, 13.696632265084162, 13.557089062423215, 13.72744068935533, 13.685312250371716, 13.691487365024885, 13.609612243178898, 13.871590990738959, 13.602896495117179, 13.545298074232608, 13.754105324744064, 13.784568829720575, 13.848250131622855, 13.601751414645124, 13.999031818997702, 13.692806805453536, 13.82245603247244, 13.856124808569652, 14.187925457414872, 14.223944149123374, 14.830844952562549],
    },
    "2020": {
        "x": list(range(1, 88)),
        "y": [16.370879996210345, 15.889055037950405, 15.432190412594073, 15.505691782112706, 15.423788890368417, 15.240064903157505, 15.043391085766707, 14.761714938396674, 14.47962007552951, 14.234133021817758, 14.123336425923434, 14.080419066871459, 14.063393745363433, 14.051331002053393, 14.037897577554489, 14.041538161067855, 14.0145622985008, 13.995935362579743, 13.991791105247946, 13.983842732394558, 13.977020615720546, 13.966291155429351, 13.953143025987027, 13.969577694685832, 13.972274556692618, 13.967416689282992, 13.962867288546066, 13.983570820646507, 13.983105305183239, 14.007290834079699, 13.960017748248399, 13.97014807600787, 13.939131974855112, 13.931242142373641, 13.923784747364268, 13.884450633737517, 13.857702881178751, 13.86969533995838, 13.829427121984313, 13.834994065394055, 13.821808671828476, 13.790151002027123, 13.76907986225701, 13.797444154897008, 13.749256987787135, 13.766070221096518, 13.759434645334379, 13.731706353193822, 13.733304557490518, 13.740468199068971, 13.721036580994003, 13.756529386584269, 13.732150648873972, 13.763427764616013, 13.73375582951499, 13.719098308155836, 13.749579407257558, 13.79960240262951, 13.827660100575278, 13.713867309731741, 13.67110069190749, 13.813210464397173, 13.820210906230622, 13.646742569819427, 13.707821135028649, 13.694993324955234, 13.667868455414132, 13.744045961641467, 13.60673607296966, 13.735891876117867, 13.708771958501817, 13.68966975607113, 13.632689223663043, 13.935886970943438, 13.636130655693483, 13.612174548563797, 13.772534936472159, 13.807161877232101, 13.85457230058511, 13.663896751660037, 14.090271528268559, 13.73950346577504, 13.889399028025398, 13.875344815512134, 14.21697484183684, 14.23511142666353, 14.830844952562549], 
    },
    "2021": {
        "x": list(range(1, 88)),
        "y": [16.40998076014569, 16.131563389687667, 15.926483480935136, 15.698720075567504, 15.493215409831992, 15.18004517433272, 14.889295559356292, 14.61434191320944, 14.373082577547928, 14.186230894539502, 14.090058332837668, 14.023657754832897, 14.007435410828263, 13.98510741208859, 13.970141824822582, 13.969314479688267, 13.946015227855732, 13.928771902280433, 13.918094740825536, 13.904271041635251, 13.898094980435907, 13.884683163944276, 13.877957828236978, 13.901423741421022, 13.906131144086045, 13.902626593900637, 13.894640462593705, 13.918502460807465, 13.918292173412722, 13.936267540996683, 13.893769797887094, 13.89937529564544, 13.863770002450618, 13.867997609697417, 13.848933342732614, 13.815022252718682, 13.791564536076104, 13.785299092567266, 13.757852960538305, 13.756401654592215, 13.759718968653816, 13.733437497507486, 13.700263326582155, 13.741373305941403, 13.675414218993899, 13.706510616734628, 13.679167854117077, 13.691416726739856, 13.672658642514545, 13.70674777789251, 13.677889859468195, 13.696385833947582, 13.676118387776745, 13.712359839755743, 13.678461938862087, 13.655240869170136, 13.686341276950634, 13.718978062873198, 13.727316226517866, 13.656066612805246, 13.613789363715679, 13.743623408755314, 13.736977834220136, 13.602716719881093, 13.663563667635234, 13.62881219522605, 13.642571996285401, 13.684891127715069, 13.552729633336378, 13.722320681269425, 13.688784634409584, 13.681265629893907, 13.655688148500278, 13.889373816531247, 13.612825342345905, 13.606765349789637, 13.795350032043327, 13.82650292060858, 13.841286651582926, 13.657986925155127, 14.058341453040232, 13.751822923564026, 13.936886101042488, 13.90058603143137, 14.193189631919063, 14.225976069809075, 14.830844952562549], 
    },
    "2022": {
        "x": list(range(1, 88)),
        "y": [15.816438075969113, 16.120385966332037, 15.882429676047822, 15.754141510831133, 15.3879948181939, 14.847440397508679, 14.559122186153141, 14.392608974240208, 14.271479310233566, 14.151814366776497, 14.033446724531911, 13.971139835079242, 13.946657171368635, 13.923168976370057, 13.908213326289514, 13.903962921781009, 13.883435189687164, 13.868214256361957, 13.853316203275403, 13.850156274630233, 13.83800413007661, 13.828456929678238, 13.823667080256051, 13.837379627152984, 13.85468762648662, 13.842118819095077, 13.846068401970452, 13.866145193860882, 13.87683103331106, 13.883902318309158, 13.843314542816382, 13.848955212935406, 13.825679672773983, 13.825203585467685, 13.800650657685432, 13.771987156235094, 13.745277332204294, 13.74899618896188, 13.710350289788519, 13.699009636752562, 13.72574984380712, 13.69379612714152, 13.657631333739795, 13.687110795197487, 13.641654848107489, 13.68555427745178, 13.626523037803157, 13.656569173850187, 13.64357081552712, 13.655564923630237, 13.650126005189923, 13.66108116025011, 13.636544222792033, 13.663746867549065, 13.626176670833402, 13.59824157968966, 13.674717201935882, 13.694557928731372, 13.727707429817114, 13.657670720998764, 13.54889394004633, 13.69650375543492, 13.692110648403906, 13.55263976838036, 13.630076360505104, 13.593884835135345, 13.596113596592723, 13.602738980430088, 13.490250965065599, 13.698940481247519, 13.583385809300575, 13.60991931296976, 13.581332737838016, 13.824623548139833, 13.533893973585819, 13.533775394793583, 13.755699578934374, 13.759936297399996, 13.87244513763899, 13.616014488643092, 14.09812993251356, 13.710074602518604, 13.91784066420223, 13.912311265620039, 14.203969619716446, 14.255022778711806, 14.830844952562549], 
    },
    "2023": {
        "x": list(range(1, 88)),
        "y": [14.789164834058647, 14.780127256037884, 14.819678850556608, 14.733221736292204, 14.715123895744814, 14.569614305023329, 14.396346309952783, 14.267962672112828, 14.173985658599138, 14.070884007245896, 13.974284099164725, 13.918302031044524, 13.898843341205037, 13.879919458330534, 13.865098670719211, 13.851559827592494, 13.844906626448243, 13.827295800961403, 13.820810936762644, 13.809543815857673, 13.804536613446562, 13.804859924468062, 13.785889612091664, 13.802986923401033, 13.830453100698728, 13.816370948078971, 13.830157632336801, 13.839051100924063, 13.84746613758983, 13.860297269342437, 13.815378459306658, 13.812782079759149, 13.793416550465908, 13.815821643865219, 13.78691014152164, 13.740292216550131, 13.709841553660574, 13.745287154982947, 13.691633688757076, 13.67702798250515, 13.665734867137164, 13.660225685620617, 13.636580976940015, 13.658398179452709, 13.607051808944078, 13.641436611855841, 13.593798625450953, 13.61361178624699, 13.638190686281677, 13.646499055714083, 13.591038080776018, 13.622992917555028, 13.587839722276074, 13.630829824495837, 13.629461225299615, 13.592200956351647, 13.615680520490306, 13.630341745716859, 13.677426157763774, 13.626805264232148, 13.564525550141198, 13.67038341024563, 13.672981832082215, 13.525896811417093, 13.563993050553714, 13.611941675078645, 13.553760533281189, 13.59021111451196, 13.470082500603052, 13.59912543494902, 13.509683974597134, 13.521390742472398, 13.520602741034393, 13.725732516220367, 13.402650383856045, 13.482679094860476, 13.645693009561771, 13.775875527667997, 13.832068021284835, 13.498004659433413, 14.094763215759677, 13.660926796721734, 13.834609766490832, 13.863488794330497, 14.180579199558213, 14.222775721949759, 14.830844952562549],
    },
}

fig = go.Figure()

# Add a line for each year
for year, values in data.items():
    x_values = values["x"]
    y_values = values["y"]
    
    fig.add_trace(go.Scatter(
        x=x_values, 
        y=y_values, 
        mode='lines+markers',
        name=year
    ))

# Update layout
fig.update_layout(
    title="Perplexity Across Different Dump Duplication Counts (local)",
    xaxis_title="Number of Dumps Duplication",
    yaxis_title="Average Perplexity",
    legend_title="Year"
)

# Show figure
graph6 = fig

#llama graph 1

import plotly.graph_objects as go

# Data for different years
data = {
    "2014": [10.036774097041135, 9.306693996275795, 9.442327622499175, 9.015408185880002, 9.94583162297666, 9.141712571508352],
    "2015": [9.46310273785878, 8.763464863196129, 9.075851726027564, 8.868392446242012, 9.113560631617027, 8.037411460181893],
    "2016": [9.41413706166537, 8.645126825996691, 9.527148465147846, 9.120345162203675, 8.9228845723255, 9.14052983061081],
    "2017": [9.50318602661455, 9.473904977192573, 9.755998086072951, 8.968012141869462, 8.895860780054043, 8.757970647106037],
    "2018": [9.007669062339426, 10.95829859145081, 10.128151243953157, 9.451949410987668, 8.863879736723902, 8.440366034517687],
    "2019": [8.388255660116407, 10.676105294328789, 9.728353939624842, 9.381837094065533, 8.401723232809463, 7.5705604983353325],
    "2020": [10.112246017864624, 10.255251179892559, 9.233548505479437, 9.25131862646364, 8.458532176757009, 7.4808205167223525],
    "2021": [10.239269162661959, 9.54987953569235, 9.067380903629866, 9.014261939731549, 8.14345667720481, 7.312019290288715],
    "2022": [9.931951075969451, 9.12737570591033, 8.995868137602248, 9.00805668763514, 7.882044010499616, 7.538858258386088],
    "2023": [8.646614152066428, 8.806922449908505, 8.816629232137835, 8.995152677487027, 7.737747701620713, 6.77703951001925]
}

# Buckets
buckets = ["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"]

# Create the figure
fig = go.Figure()

# Add lines for each year
for year, perplexities in data.items():
    fig.add_trace(go.Scatter(x=buckets, y=perplexities, mode='lines+markers', name=year))

# Update layout
fig.update_layout(
    title="Perplexity Across Different Buckets (Global)",
    xaxis_title="Bucket (duplicate count range)",
    yaxis_title="Average Perplexity",
    legend_title="Year"
)

# Show the figure
llama_graph1 = fig

##llama graph 2

import plotly.graph_objects as go

# Data for different years and buckets
data = {
    "1-1": [10.036774097041135, 9.46310273785878, 9.41413706166537, 9.50318602661455, 9.007669062339426, 8.388255660116407, 10.112246017864624, 10.239269162661959, 9.931951075969451, 8.646614152066428],
    "2-5": [9.306693996275795, 8.763464863196129, 8.645126825996691, 9.473904977192573, 10.95829859145081, 10.676105294328789, 10.255251179892559, 9.54987953569235, 9.12737570591033, 8.806922449908505],
    "6-10": [9.442327622499175, 9.075851726027564, 9.527148465147846, 9.755998086072951, 10.128151243953157, 9.728353939624842, 9.233548505479437, 9.067380903629866, 8.995868137602248, 8.816629232137835],
    "11-100": [9.015408185880002, 8.868392446242012, 9.120345162203675, 8.968012141869462, 9.451949410987668, 9.381837094065533, 9.25131862646364, 9.014261939731549, 9.00805668763514, 8.995152677487027],
    "101-1000": [9.94583162297666, 9.113560631617027, 8.9228845723255, 8.895860780054043, 8.863879736723902, 8.401723232809463, 8.458532176757009, 8.14345667720481, 7.882044010499616, 7.737747701620713],
    "1001-30000000": [9.141712571508352, 8.037411460181893, 9.14052983061081, 8.757970647106037, 8.440366034517687, 7.5705604983353325, 7.4808205167223525, 7.312019290288715, 7.538858258386088, 6.77703951001925]
}

# Years
years = ["2014", "2015", "2016", "2017", "2018", "2019", "2020", "2021", "2022", "2023"]

# Create the figure
fig = go.Figure()

# Add lines for each bucket
for bucket, perplexities in data.items():
    fig.add_trace(go.Scatter(x=years, y=perplexities, mode='lines+markers', name=bucket))

# Update layout
fig.update_layout(
    title="Perplexity Across Different Years (Global)",
    xaxis_title="Year",
    yaxis_title="Average Perplexity",
    legend_title="Bucket (duplicate count range)"
)

# Show the figure
llama_graph2 = fig

intro_div = Div(
        H2("Perplexity Evaluation on Duplicate Data"),
        H3("Model based Quality Estimation"),
        P("We took one of the model-based data quality evaluation strategies adopted by [DataComp-LM](https://arxiv.org/abs/2406.11794), which used perplexity filtering as a candidate for quality filtering. DataComp-LM followed [CCNet’s](https://arxiv.org/abs/1911.00359) practice to use a 5-gram Kneser-Ney model as implemented in the [KenLM](https://github.com/kpu/kenlm) library for efficient perplexity calculation. Following this practice, we estimated data quality by taking a KenLM model (from [edugp/kenlm](https://huggingface.co/edugp/kenlm)) trained on English Wikipedia data to compute perplexity on data with different duplication patterns. Lower perplexity is regarded as a signal of higher quality."),
        H3("Sampling Strategy"),
        P("We started from a processed Common Crawl (CC) ablation dataset divided by the number of duplicates of each document. For each CC dump, we have different buckets each holding chunks of document with different duplicate count ranges (1-1, 2-5, 6-10, 11-100, 101-1000, 1001-30000000). We sampled the first 10k documents from each chunk with their meta data."),

)

perp1_div = Div(
        Section(
            H3("Perplexity vs Buckets"),
            P("For each bucket, we aggregated all the chunks that belong to a single year and calculated the average perplexity for each (bucket, year) data point."),
            Img(src="images/prep-diff-buckets-global.png", height = "300", width = "600" ),
            plotly2fasthtml(Perplexity_Across_Different_Buckets_global_graph),
        ),
        Section(
            H3("Perplexity vs Years"),
            P("Taking the same data, we can convert it into a graph indicating the yearly trend. For most buckets, the average perplexity of dumps from more recent years seem to be lower than that of former years."),
            Img(src="images/prep-across-diff-year-global-dup-buckets.png", height = "300", width = "600" ),
            plotly2fasthtml(Perplexity_Across_Different_years_graph),
        ),
    Section(
            H3("Perplexity vs Document Duplication"),
            P("We can also break each bucket into distinct document counts. The graph becomes a bit noisy at the end because of insufficient samples with larger duplication counts."),
            Img(src="images/prep-across-diff-docs-dup-count-global.png", height = "300", width = "600" ),
            plotly2fasthtml(graph3),
        ),
    Section(
            H3("Perplexity vs Dump Duplication"),
            P("We are also interested in how the number of dumps a document is in affect data quality. From the graph below we can see that documents that are duplicated across around 40 - 60 dumps usually have lower perplexity."),
            Img(src="images/prep-across-diff-dump-dup-counts-global.png", height = "300", width = "600" ),
            plotly2fasthtml(graph4),
        ),
    Section(
            H3("Perplexity vs Local Buckets"),
            P("Previously we have seen that documents in recent dumps tend to have lower perplexity. This might be related to the way how global deduplication was implemented. During global deduplication, we only keep copy in the latest dump. Hence documents that are duplicated across multiple dumps only appear in the latest one. To avoid bias brought by this strategy, we tried to recover the states before the global deduplication by reading the metadata attached with each document."),
            Img(src="images/prep-across-diff-buckets-local.png", height = "300", width = "600" ),
            plotly2fasthtml(graph5),
        ),
    Section(
            H3("Perplexity vs Local Dump Duplication"),
            P("Following the same practice, we can plot the local version of the graph of average perplexity with respect to dump duplication."),
            Img(src="images/prep-diff-dump-dump-counts-local.png", height = "300", width = "600" ),
            plotly2fasthtml(graph6),
        ),
)


llama_div = Div(
        Section(
            H2("Llama 3.1 8B"),
            P("For comparison purpose, we run the same perplexity evaluation with llama 3.1 8B model."),
        ),
        Section(
            H3("Perplexity vs Buckets"),
            Img(src="images/perp-across-diff-buckets-global.png", height = "300", width = "600" ),
            plotly2fasthtml(llama_graph1),
        ),
        Section(
            H3("Perplexity vs Years"),
            Img(src="images/prep-across-diff-years-global.png", height = "300", width = "600" ),
            plotly2fasthtml(llama_graph2),
        ),
    Section(
            H3("Perplexity vs Dump Duplication"),
            Img(src="images/prep-vs-dump-dup-global.png", height = "300", width = "600" ),
        #plotly2fasthtml(llama_graph1),
        ),
    Section(
            H3("Perplexity vs Local Buckets"),
            Img(src="images/prep-diff-buckets-local.png", height = "300", width = "600" ),
        #plotly2fasthtml(llama_graph1),
        ),
    Section(
            H3("Perplexity vs Local Dump Duplication"),
            Img(src="images/prep-vs-dump-dup-global.png", height = "300", width = "600" ),
        #plotly2fasthtml(llama_graph1),
        ),
)


def results():
    return Div(
                Section(
                    intro_div,
                    perp1_div,
                    llama_div,
                    P("test plotly"),
                    id="inner-text"
                )
    )