tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 329393d1404300829-index-match-smallest-return-sample-2
Sheet: Sheet1

Material | Material Description | Qty in Un. of Entry | Base Unit of Measure | User name | Amount | Reason for Movement |  | Material | Material Description | 2250
1801411 | BLACK | -6000 | FT | RSP | -183.25 | 2150
1803411 | RED | -12000 | FT | RSP | -366.61 | 2150
1803411 | RED | -2000 | FT | RSP | -61.1 | 2154
1804411 | GREEN | -3000 | FT | RSP | -91.65 | 2150
2304691 | GREEN | -730 | FT | LBL | -4.34 | 2450
2304691 | GREEN | -2135 | FT | DWI | -12.7 | 2250
2304691 | GREEN | -500 | FT | DWI | -2.98 | 2250
2304691 | GREEN | -500 | FT | DWI | -2.98 | 2250
2304691 | GREEN | -11659 | FT | RSP | -69.37 | 2452
2304691 | GREEN | -100 | FT | RSP | -0.6 | 2451
2304691 | GREEN | -755 | FT | LBL | -4.49 | 2250
2305637 | BROWN | -755 | FT | LBL | -4.49 | 2250
2304691 | GREEN | -695 | FT | LBL | -4.14 | 2250
2304691 | GREEN | -790 | FT | GKN | -4.7 | 2250
2304691 | GREEN | -765 | FT | GKN | -4.55 | 2250
2304691 | GREEN | -815 | FT | GKN | -4.85 | 2250
2305637 | BROWN | -100 | FT | RSP | -1.41 | 2250
2305637 | BROWN | -1000 | FT | RSP | -14.11 | 2250
2305637 | BROWN | -600 | FT | RSP | -8.47 | 2250
 |  |  |  |  |  |  |  |  |  | sktneer formula |  | [NAME] formula |  | FlameRetired formula
Spreadsheet: 165308d1341154309-working-out-stock-levels-and-circular-reference-issues-stock-p-and-l
Sheet: Stock Price List

 | Hong Kong | Cost |  |  |  |  | Posatge |  |  | Europe | Cost |  |  |  |  | Posatge
 | Product | £/$ | Value | Weight Grams | Sale Price | Profit | Paid | Charged |  | Product | £/$ | Value | Weight Grams | Sale Price | Profit | Paid | Charged
 | Product A | £ | 5.55 | 165 | 8.99 | 1.5 | 1.25 | 2.79 |  | Product A | £ | 7.48 | 165 | 8.99 | 0.25 | 1.25 | 2.79
 | Product B | £ | 3.6 | 165 | 8.99 | 3.5 |  | 2.79 |  | Product B
 | Product C | £ | 1.89 | 20 | 4.99 |  |  | 0.9 |  | Product C | £ | 2.47 | 17
 | Product D | £ | 6.07 | 27 | 11.99 |  |  | 0.9 |  | Product D | £ | 75 | 125
 | Product E | £ | 2.33 | 69 | 7.99 |  |  | 1.25 |  | Product E | £ | 23.35 | 869
 | Product F | £ | 3.03 | 89 | 6.99 |  |  | 1.69 |  | Product F | £ | 6 | 15
 | Product G | £ | 0.66 | 24 | 2.49 |  |  | 0.5 |  | Product G | £ | 3 | 10
 | Product H | £ | 6.19 | 210 | 16.99 |  |  | 1.99 |  | Product H | £ | 7.55 | 210 | 16.99 |  |  | 1.99
 | Product I | £ | 7.93 | 175 | 16.99 |  |  | 3.29 |  | Product I | £ | 8.7 | 175 | 16.99 |  |  | 3.29
 | Product J | £ | 9.29 | 175 | 19.99 |  |  | 1.99 |  | Product J | £ | 10.55 | 175 | 19.99 |  |  | 1.99
 | [NAME] | £ | 6.37 | 237 | 19.99 |  |  | 1.99 |  | [NAME]
 | Product L | £ | 4.89 | 229 | 13.99 |  |  | 1.99 |  | Product L
 | Product M | $ | 25 | 869 |  |  |  |  |  | Product M | £ | 30 | 869
Spreadsheet: 740469d1626353094-not-calculating-correctly-after-certain-line-value-error-sfsales-dec-2020-to-present-july-2021
Sheet: Shipping and Customs

Shipping and Customs
[NAME] | Shipping | Customs | Shipping Per Kilo |  | NOTE:
 | 0
Read Me Guide:
Shipping and customs table uses values from "Batch Purchase". This table should always remain the same size (rows) as the Batch Purchase table.
When a new row of fields have been filled in on the "Batch Purchase" table, new values will appear here.
Do not edit grey zones.
Spreadsheet: 74061052-382e-4d1a-8c8a-e24ce691b373
Sheet: Sheet1

#2  Course Completion | SGP UG SUCCESS RATE (BASIC SKILLS LEVEL)
 | AY07-08 |  | AY08-09 |  | [NAME] |  | AY10-11 |  | AY11-12 |  | AY12-13
Gender | Graded Seats | Success Rates | Graded Seats | Success Rates | Graded Seats | Success Rates | Graded Seats | Success Rates | Graded Seats | Success Rates | Graded Seats | Success Rates
Female | 10 | 0.5 | 26 | 0.6153846153846154 | 40 | 0.75 | 142 | 0.6408450704225352 | 231 | 0.6363636363636364 | 167 | 0.7305
Male | 2 | 0 | 10 | 0.5 | 41 | 0.6097560975609756 | 74 | 0.4459459459459459 | 113 | 0.5132743362831859 | 99 | 0.6465
Unknown | 1 | 1 | 1 | 1 | 1 | 1 | 3 | 0.6666666666666666 | 1 | 0
AY Average | 13 | 0.4615384615384616 | 37 | 0.5945945945945946 | 82 | 0.6829268292682927 | 219 | 0.5753424657534246 | 345 | 0.5942028985507246 | 266 | 0.6992
 |  |  |  |  |  |  |  |  |  |  | AY12-13
Ethnicity | Graded Seats | Success Rates | Graded Seats | Success Rates | Graded Seats | Success Rates | Graded Seats | Success Rates | Graded Seats | Success Rates | Graded Seats | Success Rates
White | 4 | 0.5 | 6 | 0.3333333333333333 | 22 | 0.2272727272727273 | 57 | 0.3508771929824561 | 78 | 0.217948717948718 | 55 | 0.7636
Hispanic | 6 |  | 19 |  | 35 | 0.6285714285714286 | 94 | 0.6702127659574468 | 173 | 0.5953757225433526 | 146 | 0.7055
African American | 2 | 0.5 | 7 | 0.2857142857142857 | 11 | 0.3636363636363636 | 37 | 0.3783783783783784 | 40 | 0.25 | 25 | 0.6
Asian |  |  | 1 | 0 | 1 | 0 | 5 | 0.2 | 16 | 0.25 | 6 | 0.6667
Native American |  |  | 2 | 0.5 | 1 | 1 | 2 | 0.5 | 3 | 0.6666666666666666
Filipino |  |  |  |  | 2 | 0 | 1 | 0 | 4 | 0 | 3 | 0.6667
Pacific Islander |  |  | 1 | 1 |  |  | 4 | 0.25 | 5 | 0 | 4 | 1
Multi-Race |  |  |  |  | 3 | 1 | 13 | 0.3846153846153846 | 20 | 0.7 | 23 | 0.6522
Unknown | 1 | 0 | 1 | 1 | 7 | 0.1428571428571428 | 6 | 0.1666666666666667 | 6 | 0.5 | 4 | 0.25
 |  |  |  |  |  |  |  |  |  |  | AY12-13
Age | Graded Seats | Success Rates | Graded Seats | Success Rates | Graded Seats | Success Rates | Graded Seats | Success Rates | Graded Seats | Success Rates | Graded Seats | Success Rates
<18 |  |  |  |  | 3 | 1 | 3 | 0.6666666666666666 | 1 | 1 | 10 | 1
18 & 19 |  |  | 11 | 0.5454545454545454 | 25 | 0.72 | 59 | 0.559322033898305 | 111 | 0.7207207207207207 | 96 | 0.7396
20 to 24 | 3 | 0 | 7 | 0.1428571428571428 | 12 | 0.1666666666666667 | 53 | 0.5094339622641509 | 83 | 0.4698795180722892 | 72 | 0.6667
25 to 29 | 3 | 0.6666666666666666 | 6 | 0.8333333333333334 | 15 | 0.6 | 23 | 0.5217391304347826 | 39 | 0.4358974358974359 | 33 | 0.697
30 to 34 | 2 | 0.5 | 3 | 0.6666666666666666 | 14 | 0.7857142857142857 | 27 | 0.6666666666666666 | 42 | 0.5714285714285714 | 22 | 0.6364
35 to 39 | 1 | 1 | 8 | 0.75 | 3 | 1 | 18 | 0.5 | 29 | 0.7241379310344828 | 8 | 0.5
40 to 49 | 3 | 0.6666666666666666 | 2 | 1 | 5 | 1 | 18 | 0.9444444444444444 | 23 | 0.6086956521739131 | 13 | 0.6154
50 + | 1 | 0 |  |  | 5 | 1 | 18 | 0.4444444444444444 | 17 | 0.5294117647058824 | 12 | 0.6667
Unknown
Spreadsheet: 741295d1626958946-complex-match-and-lookup-question-excel-query
Sheet: Master List

Data 1 | Data 2 | Data 3 | Building | Data 5 | Data 6 | Data 7 | Data 8 | Data 9 | TARGET COLUMN
0.4374801654020983 | 0.9628279905599763 | 0.005909706002309001 | 1-A | 0.9626049326563146 | 0.5595248636903024 | 0.4734828256585493 | 0.2899197191946197 | 0.8009918958511314 | 1-A
0.7162268045969459 | 0.9692775220772636 | 0.9440605031373388 | 1a | 0.1893152617404206 | 0.4189789796098664 | 0.5069332942181788 | 0.6963434869561534 | 0.9395479359455929 | 1-A
0.3409069786418465 | 0.6808442517801286 | 0.4094730743573841 | 2 | 0.7820321946845941 | 0.9952474138733127 | 0.3849997802541429 | 0.6694309306407088 | 0.3333901670065861 | 2-A
0.7890023723282987 | 0.3056365790924361 | 0.1339882441134066 |  | 0.4171084231822166 | 0.3861768993307541 | 0.5472890305863722 | 0.6869053806927163 | 0.2230334441248326
0.4716182823853385 | 0.687835915329339 | 0.9577420095702202 | 3a | 0.7597938876994333 | 0.287395272511999 | 0.9291833714804795 | 0.6082703750558853 | 0.2031509527430508 | 3-A
0.7875207374913059 | 0.8841895640708151 | 0.6890217467426779 | 3-c | 0.4052981871472291 | 0.9487226526378838 | 0.186241221844626 | 0.9981154276179691 | 0.2971487325233219 | 3-C
0.02602793915210611 | 0.1198838664887927 | 0.9150231666606224 | 3 | 0.2125480373593027 | 0.765949551175975 | 0.450722515552784 | 0.1575250895095064 | 0.8706157427459877 | 3-A
0.7417492354854284 | 0.6560981192900105 | 0.3204802749958421 |  | 0.6336261392981678 | 0.6052227355498607 | 0.8872107222196973 | 0.4659073347299671 | 0.5513520230558895
0.4391696824848668 | 0.5815584526000032 | 0.2310396874317419 |  | 0.4297049825553944 | 0.6758951974508667 | 0.1074764035370581 | 0.587150153714018 | 0.3966736882511331
0.156896035029357 | 0.6443776824096071 | 0.9538292533181946 |  | 0.006709411259327558 | 0.7113973117535992 | 0.2598391019005264 | 0.3340196653334241 | 0.2185981607592824
0.9339684556060196 | 0.2648371728573727 | 0.2096342437134717 | 1A | 0.8488595786512134 | 0.9770069763303438 | 0.249111272216862 | 0.5393620313758 | 0.4112771857790256 | 1-A
0.08131774624038446 | 0.1328255434283838 | 0.4676614720308586 | A! | 0.8604217989476532 | 0.4424674143026581 | 0.6268882824451469 | 0.2978450840861228 | 0.7473793557620227 | 1-A
0.1108256728246855 | 0.4444935550018835 | 0.245800643545896 |  | 0.6367376272658348 | 0.7303562897207182 | 0.5994590048165076 | 0.657770878956416 | 0.7344394535127091
0.835611372834636 | 0.7043591507599355 | 0.658067409314623 |  | 0.5141292993587895 | 0.3501647101569778 | 0.8457047016646574 | 0.1243656409361316 | 0.3012968432819664
 |  |  |  |  |  |  |  |  |  |  | Target looks up value in D1 vs variation range in Mapping (B2:E5); and pulls the value from Mapping column A that corresponds to the row where the match was locatated; so in cell J2; 1-A is "seen" in "mapping" C2, and the result pulled is the value in coumn A from Row 2, i.e. mapping cell A2
Spreadsheet: 703537d1605034799-formula-to-allocate-sales-orders-based-on-working-days-zeszyt4
Sheet: Holidays

Absence type | Code |  |  | Week 43 |  |  |  |  |  |  | Week 44 |  |  |  |  |  |  | Week 45
 |  |  |  | Oct | Oct | Oct | Oct | Oct | Oct | Oct | Nov | Nov | Nov | Nov | Nov | Nov | Nov | Nov | Nov | Nov | Nov | Nov | Nov | Nov
 |  |  |  | 25 | 26 | 27 | 28 | 29 | 30 | 31 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14
Vacation | V |  |  | Mon | Tue | Wed | Thu | Fri | Sat | Sun | Mon | Tue | Wed | Thu | Fri | Sat | Sun | Mon | Tue | Wed | Thu | Fri | Sat | Sun
 |  |  |  | 2020-10-25 00:00:00 | 2020-10-26 00:00:00 | 2020-10-27 00:00:00 | 2020-10-28 00:00:00 | 2020-10-29 00:00:00 | 2020-10-30 00:00:00 | 2020-10-31 00:00:00 | 2020-11-01 00:00:00 | 2020-11-02 00:00:00 | 2020-11-03 00:00:00 | 2020-11-04 00:00:00 | 2020-11-05 00:00:00 | 2020-11-06 00:00:00 | 2020-11-07 00:00:00 | 2020-11-08 00:00:00 | 2020-11-09 00:00:00 | 2020-11-10 00:00:00 | 2020-11-11 00:00:00 | 2020-11-12 00:00:00 | 2020-11-13 00:00:00 | 2020-11-14 00:00:00
 |  |  | Nick | v | v | v |  |  |  |  |  |  |  |  |  |  |  | v
 |  |  | Justin |  | v
 |  |  | [NAME] |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | v | v | v
 |  |  | Mark |  |  |  |  | v
 |  |  | Gavin |  |  |  |  |  |  |  | v |  |  |  |  |  |  |  |  | v
 |  |  | [NAME] |  |  |  |  |  |  |  |  |  | v
Spreadsheet: andrea_ring__50__BRLH Storage
Sheet: dec01

DECEMBER '01 STORAGE ACTIVITY
 | ENA
Contract | 96034600
[NAME] | 85000
[NAME] | 150000
[NAME] | 2500000
Day | Injection | Withdrawal
2001-12-01 00:00:00 |  | -105950
2001-12-02 00:00:00 |  | -106137
2001-12-03 00:00:00 |  | -106136
2001-12-04 00:00:00
2001-12-05 00:00:00
2001-12-06 00:00:00
2001-12-07 00:00:00
2001-12-08 00:00:00
2001-12-09 00:00:00
2001-12-10 00:00:00
2001-12-11 00:00:00
2001-12-12 00:00:00
2001-12-13 00:00:00
2001-12-14 00:00:00
2001-12-15 00:00:00
2001-12-16 00:00:00
2001-12-17 00:00:00
2001-12-18 00:00:00
2001-12-19 00:00:00
2001-12-20 00:00:00
2001-12-21 00:00:00
2001-12-22 00:00:00
2001-12-23 00:00:00
2001-12-24 00:00:00
2001-12-25 00:00:00
2001-12-26 00:00:00
2001-12-27 00:00:00
2001-12-28 00:00:00
2001-12-29 00:00:00
2001-12-30 00:00:00
2001-12-31 00:00:00
Current Month
Fuel 1%
Current Month Activity
Previous Month Bal | 2207874
[NAME]
Available Capacity
Spreadsheet: 5b7752f2-5ed7-4cb2-893d-da9f0d883d96
Sheet: 13a

Product1 | Cleared2 | Uncleared | TOTAL
Index Tranche | - | 1059941 | 1059941
Asia | - | 20 | 20
Europe | - | 481235 | 481235
North America | - | 578686 | 578686
Other | - | - | -
Index | 2387796 | 5446872 | 7834668
Asia | - | 129214 | 129214
Europe | 962953 | 2534060 | 3497013
North America | 1405184 | 2504266 | 3909450
Other | 19659 | 279332 | 298991
Other | - | 561499 | 561499
Exotic | - | 47697 | 47697
Swaptions | - | 513520 | 513520
Total Return Swap | - | 282 | 282
TOTAL | 2387796 | 7068312 | 9456108
Spreadsheet: 131139d1322753599-matrix-2-way-lookup-site-distance-matrix
Sheet: Sheet3

Sites | 01 | 02 | 18 | 08 | 04 | 11 | 12 | 34 | 06 | 42 | Occurrences | Distance | Coordinates
01 |  |  |  |  |  |  |  |  |  |  |  | 458.34
02 | 0 |  |  |  |  |  |  |  |  |  |  | 388.42
18 | 0 | 0 |  |  |  |  |  |  |  |  |  | 388.42
08 | 0 | 0 | 7.439999999999998 |  |  |  |  |  |  |  |  | 327.09
04 | 0 | 0 | 10.59999999999999 | 181.68 |  |  |  |  |  |  |  | 278.32
11 | 0 | 0 | 12.12 | 137.23 | 232.88 |  |  |  |  |  |  | 278.32
12 | 0 | 0 | 9.949999999999989 | 214.33 | 278.32 | 261.99 |  |  |  |  |  | 261.99
34 | 0 | 0 | 9.949999999999989 | 214.33 | 278.32 | 261.99 | 458.34 |  |  |  |  | 261.99
06 | 0 | 0 | 4.720000000000027 | 0.009999999999990905 | 16.49000000000001 | 58.79999999999995 | 13.01999999999998 | 13.01999999999998 |  |  |  | 258.4400000000001
42 | 0 | 0 | 12.25 | 161.6999999999999 | 258.4400000000001 | 327.09 | 388.42 | 388.42 | 146.9500000000002 |  |  | 232.88
 |  |  |  |  |  |  |  |  |  |  |  | 214.33
 |  |  |  |  |  |  |  |  |  |  |  | 214.33
 |  |  |  |  |  |  |  |  |  |  |  | 181.68
 |  |  |  |  |  |  |  |  |  |  |  | 161.6999999999999
 |  |  |  |  |  |  |  |  |  |  |  | 146.9500000000002
 |  |  |  |  |  |  |  |  |  |  |  | 137.23
 |  |  |  |  |  |  |  |  |  |  |  | 58.79999999999995
 |  |  |  |  |  |  |  |  |  |  |  | 16.49000000000001
 |  |  |  |  |  |  |  |  |  |  |  | 13.01999999999998
 |  |  |  |  |  |  |  |  |  |  |  | 13.01999999999998
 |  |  |  |  |  |  |  |  |  |  |  | 12.25
 |  |  |  |  |  |  |  |  |  |  |  | 12.12
 |  |  |  |  |  |  |  |  |  |  |  | 10.59999999999999
 |  |  |  |  |  |  |  |  |  |  |  | 9.949999999999989
 |  |  |  |  |  |  |  |  |  |  |  | 9.949999999999989
 |  |  |  |  |  |  |  |  |  |  |  | 7.439999999999998
 |  |  |  |  |  |  |  |  |  |  |  | 4.720000000000027
 |  |  |  |  |  |  |  |  |  |  |  | 0.009999999999990905
 |  |  |  |  |  |  |  |  |  |  |  | 0
Spreadsheet: 729337d1619026607-list-multiple-occurrences-and-then-move-one-repeat-name-as-many-times-as-it-exists-example-10-
Sheet: Sheet1

 |  |  |  | Pull In Employees for Location A
 | Data Example |  |  | A |  |  |  | All Locations That Employees at A work at
 | Employee ID # | Location # |  | Employee # | 0 |  |  | Employee # | Location #
 | 123 | A |  |  |  |  |  | 123 | A
 | 123 | B |  |  |  |  |  | 123 | B
 | 150 | C |  |  |  |  |  | 170 | A
 | 160 | C |  |  |  |  |  | 170 | B
 | 170 | A |  |  |  |  |  | 170 | C
 | 170 | B
 | 170 | C
 | 180 | C
Spreadsheet: 767313d1644408805-list-of-people-that-i-want-to-calculate-how-many-days-they-have-left-until-end-date-enddate-ans
Sheet: Icelandic

September |  |  |  |  | Reiknidagur
 |  | Upphafsdagur | Lokadagur |  | 2021-09-30 00:00:00 | Rétt svar væri
 | Anna | 2021-01-01 00:00:00 |  |  |  | 30 |  |  | Mest er má fá 30 daga
 | Jóna | 2021-03-01 00:00:00 | 2021-08-01 00:00:00 |  |  | 0 |  |  | Ef lokadagur er kominn þá á að reikna að honum og ef hann er > en [NAME] 30
 | Guðrún | 2021-08-07 00:00:00 | 2021-10-31 00:00:00 |  |  | 30 |  |  | Stundum er kominn Lokadagur sem er [NAME] mánuði fram í tíman samt er mest 30
 | [NAME] | 2020-03-18 00:00:00 |  |  |  | 30 |  |  | [NAME] verður að vera þannig að hún virki á alla aðila og líka að ef breytt er um nöfn/dags þá virki formúlan á þau
 | Binna | 2019-03-31 00:00:00 | 2021-09-02 00:00:00 |  |  | 2
 |  |  |  |  |  |  |  |  | Rautt er vitlaust og er ekki að [NAME]
[NAME]
 |  | Upphafsdagur | Lokadagur |  | 2021-10-31 00:00:00 |  |  |  | Ef lokadagur er liðin kemur villa
 | Anna | 2021-01-01 00:00:00 |  |  |  | 30
 | Jóna | 2021-03-01 00:00:00 | 2021-08-01 00:00:00 |  |  | 0
 | Guðrún | 2021-08-07 00:00:00 | 2021-10-31 00:00:00 |  |  | 30
 | [NAME] | 2020-03-18 00:00:00 |  |  |  | 30
 | Binna | 2019-03-31 00:00:00 | 2021-09-02 00:00:00 |  |  | 0
[NAME]
 |  | Upphafsdagur | Lokadagur |  | 2021-11-30 00:00:00
 | Anna | 2021-01-01 00:00:00 |  |  |  | 30
 | Jóna | 2021-03-01 00:00:00 | 2021-08-01 00:00:00 |  |  | 0
 | Guðrún | 2021-08-07 00:00:00 | 2021-10-31 00:00:00 |  |  | 0
 | [NAME] | 2020-03-18 00:00:00 |  |  |  | 30
 | Binna | 2019-03-31 00:00:00 | 2021-09-02 00:00:00 |  |  | 0
Spreadsheet: 45409d1244133756-sumproduct-multiple-conditions-dummy-data
Sheet: lookup

 | [NAME] |  | sumproduct |  | sumproduct
1400 | -177021.6 |  | -177021.6 |  | SUMPRODUCT(('external sheet'!$A$1:$A$4613=lookup!A3:A8)*('external sheet'!D1:D4613))
1402 | 0 |  | 0
1403 | -132784.29 |  | -132784.29
1404 | 0 |  | 0
1405 | 7950.45 |  | 7950.45
1409 | 0 |  | 0
 | -301855.44 |  | -301855.44
Spreadsheet: 67396d1268047617-extracting-non-matching-records-to-a-new-book-week-2
Sheet: Sheet1

Property Name | Type of Property | Your Property ID | Address 1 | City | State/Province/etc.
123 Resort | Resort | aaaaa2 | 456 School Road | [NAME] | UK
XYZ Hotel & Spa | Hotel | aaaaa3 | 789 Badger Drive | [NAME] | UK
[NAME] | Hotel | [NAME] | [NAME] | London | UK
ROFLLMAOLOLOOMG [NAME] | Resort | aaaaa5 | 1 Spain Road | Spainville | Spain
Spreadsheet: 37422d1235437701-sumif-formula-based-on-text-in-cell-mellon-test
Sheet: RRN

 |  |  |  | Date Range: | 01/25/2009 - 02/21/2009
19 | Summary | RRN 622
Item # | Date | Amount
1 | 2009-01-26 00:00:00 | 16225184.11
2 | 2009-01-27 00:00:00 | 9847442.51
3 | 2009-01-28 00:00:00 | 5659519.78
4 | 2009-01-29 00:00:00 | 8309461.12
5 | 2009-01-30 00:00:00 | 5884758.61
6 | 2009-02-02 00:00:00 | 11666350.42
7 | 2009-02-03 00:00:00 | 6402935.85
8 | 2009-02-04 00:00:00 | 5814862.08
9 | 2009-02-05 00:00:00 | 6069948.22
10 | 2009-02-06 00:00:00 | 4771302.72
11 | 2009-02-09 00:00:00 | 10402856.36
12 | 2009-02-10 00:00:00 | 7130424.22
13 | 2009-02-11 00:00:00 | 5634470.39
14 | 2009-02-12 00:00:00 | 5649027.76
15 | 2009-02-13 00:00:00 | 7505000.96
16 | 2009-02-17 00:00:00 | 10998362.23
17 | 2009-02-18 00:00:00 | 16532080.85
18 | 2009-02-19 00:00:00 | 11167167.28
19 | 2009-02-20 00:00:00 | 10194317.88
Spreadsheet: 204807d1357653387-timesheet-unable-to-code-overtime-timesheet-example
Sheet: Sheet1

 | Monday
 | start | lunch in | lunch out | end | Sick | TOTal hours | Holiday | worked hours | regular hours | P1 hours |  | 8
Dept A | 09:00:00 | 12:00:00 | 13:00:00 | 15:00:00
Dept B | 15:00:00 |  |  | 20:00:00
Dept C | 00:00:00 |  |  | 00:00:00
 | 00:00:00 |  |  | 00:00:00
 | 00:00:00 |  |  | 00:00:00
Totals
Spreadsheet: 807906d1670162608-creating-credit-summary-report-of-a-shop-billing-software-test
Sheet: Credit Report (2)

SN # | ID | Name | SN# | 1 |  |  | 2 |  |  | 3 |  |  | 4 |  |  | 5 |  |  | 6
 |  |  | Old Balance | Date | [NAME] | Amount | Date | [NAME] | Amount | Date | [NAME] | Amount | Date | [NAME] | Amount | Date | [NAME] | Amount | Date | [NAME] | Amount
1 | CUS 001 | Praveen |  | 2022-11-12 00:00:00 | TAS-CD-01 | 1023 | 2022-11-13 00:00:00 | TAS-CD-03 | 1123 | 2022-11-14 00:00:00 | TAS-CD-06 | 34
2 | CUS 002 | Nilesh |  | 2022-11-13 00:00:00 | TAS-CU-01
3 | CUS 003 | Neeraj Ganesh
4 | CUS 004 | [NAME]
5 | CUS 005 | [NAME]
 |  | ID | Name
 |  | CUS 001
 |  | SN # | Date | [NAME] | Amount
 |  | 1 | 2022-11-12 00:00:00 | TAS-CD-01 | 1023
 |  | 2 | 2022-11-13 00:00:00 | 3AS-CD-01 | 1123
 |  | 3
 |  | 4
 |  | 5
 |  | 6
Spreadsheet: 856579d1705775321-xlookup-to-direct-cell-link-with-lambda-xlookup-to-direcet-cell-reference
Sheet: Sheet1

 |  |  |  |  |  |  | Result Should be
 | me | 2232 |  |  | me
 | shen | 34 |  |  | shen
 | is | 3 |  |  | is
 | isini | 4 |  |  | isini
 | chven | 343 |  |  | chven
 | shen | 343
Spreadsheet: 13d5e2af-439a-45db-8f77-59ad143ebcd8
Sheet: ID-CPA-011

 | Prescibed Grazing - 528                                                               ID-CPA-011
 | Rangeland Health Evaluation                                                                    Idaho
Natural Resources Conservation Service |  |  |  | January 2014
Client : _____________________________________________ |  |  |  | Date: ______________________________________________
Conservationist : _____________________________________ |  |  |  | Location: ___________________________________________
Ecological Site : _____________________________________ |  |  |  | Reference Vegetation State: _____________________________
Departure from Expected |  | Code |  | Instructions:
None to Slight........................................................... |  | NS |  | (1) Assign 17 indicator ratings. If indicator not present, rate None to Slight.
Slight to [NAME].............................................................. |  | SM |  | (2) Assign overall rating for each attribute based on preponderance of evidence. The charts below provide a visual guide for determining the preponderance of evidence.
Moderate...................................................................... |  | M
Moderate to Extreme.............................................................. |  | ME |  | (3) Justify each attribute rating in writing.
Extreme to Total.............................................................. |  | ET
Indicator | Rating |  |  | Comments
1.  Rills | S | H
2.  Water-flow Patterns | S | H
3.  Pedestals and/or terracettes | S | H
4.  [NAME]  ______% | S | H
5.  Gullies | S | H
6.  Wind-scoured, blowouts, and/or deposition areas | S
7.  Litter movement | S
8.  Soil surface resistance to erosion | S | H | B
 |  |  |  |  |  |  |  | Attribute Rating Frequency
9.  [NAME] loss or degradation | S | H | B |  |  |  |  | SSS |  | HF |  | BI
 |  |  |  |  |  |  |  | NS |  | NS |  | NS
10.  Plant community composition and distribution relative to infiltration and runoff |  | H |  |  |  |  |  | SM |  | SM |  | SM
 |  |  |  |  |  |  |  | M |  | M |  | M
11.  Compaction layer | S | H | B |  |  |  |  | ME |  | ME |  | ME
 |  |  |  |  |  |  |  | ET |  | ET |  | ET
12.  Functional/structural groups |  |  | B
13.  Plant mortality/decadence |  |  | B
14.  Litter amount |  | H | B
15.  Annual production |  |  | B
16.  Invasive plants |  |  | B
17. Reproductive capability of perennial plants |  |  | B
Soil-Site Stability Rating :
Hydrologic Function Rating :
Biotic Integrity Rating :
Spreadsheet: 700472d1603204505-select-specific-n-of-rows-which-meet-condition-audit-the-auditors-gk
Sheet: Raiden

Raiden
country | QS Login | Status | [NAME] | associate_task | associate_queue | associate | metric_wk_no | associate_action | correct associate action
Spreadsheet: 546663d1510151079-subtracting-from-total-sum-using-checklist-excel-forum-farm
Sheet: Sheet1

 |  |  |  |  |  |  | Task | To Do |  | Row Labels | Field | Sum of Acreage
Farm | Field | Acreage | Task 1 | Task 2 | Task 3 |  | Task 1 |  |  | Farm 1 | Field 1 | 57.45
Farm 1 | Field 1 | 57.45 | Complete | Complete | Complete |  | Task 2 |  |  | Farm 2 | Field 2 | 46.88
Farm 2 | Field 2 | 46.88 |  |  |  |  | Task 3 |  |  | Farm 3 | Field 3 | 37.31
Farm 3 | Field 3 | 37.31 | Complete |  |  |  |  |  |  | Farm 4 | Field 4 | 31.23
Farm 4 | Field 4 | 31.23 |  | Complete |  |  | Total |  |  | Farm 5 | Field 5 | 33.45
Farm 5 | Field 5 | 33.45 |  |  | Complete |  |  |  |  | Farm 6 | Field 6 | 25.67
Farm 6 | Field 6 | 25.67 |  |  |  |  |  |  |  | Farm 7 | Field 7 | 1.4
Farm 7 | Field 7 | 1.4 |  |  |  |  |  |  |  | Farm 8 | Field 8 | 37.25
Farm 8 | Field 8 | 37.25 |  |  |  |  |  |  |  | Grand Total |  | 270.64
Spreadsheet: 73059d1273717411-lookup-multiple-columns-to-produce-result-table-lookup
Sheet: Sheet1

Extension | 9001 | 9002 | 9003 | AKYD |  |  |  |  |  |  | 9001 | 9002 | 9003 |  | AKYD
2000 | 0 |  |  |  |  |  |  |  |  |  | 0 |  |  | = | 0
2001 | 1 | 2 | 1 |  |  |  |  |  |  |  | 1 | 0 | 1 | = | 0
2002 | 0 |  |  |  |  |  |  |  |  |  | 1 | 1 | 1 | = | 7
2003 | 1 | 3 | 1 |  |  |  |  |  |  |  | 1 | 2 | 1 | = | 2
2004 | 0 |  |  |  |  |  |  |  |  |  | 1 | 3 | 1 | = | 1
2005 | 1 | 2 | 1 |  |  |  |  |  |  |  | 1 | 1 | 0 | = | 6
 |  |  |  |  |  |  |  |  |  |  | 1 | 2 | 0 | = | 6
 |  |  |  |  |  |  |  |  |  |  | 1 | 3 | 0 | = | 6
Spreadsheet: 848097d1698890383-formula-to-rearrange-data-as-pasted-from-external-source-digitalpeon-workbook-example
Sheet: Copy and Past Data in "A"

How often do you think about the Roman Empire?
Rarely
How often do you clip your fingernails?
Occasionally
How often do you exercise?
Frequently
How often do you was your car?
very frequently
Question 5
Rarely
Question 6
Occasionally
Question 7
Frequently
Question 8
Very Frequently
Question 9
Rarely
Question 10
Occasionally
Question 11
Frequently
Question 12
Very Frequently