tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 09e6a2e2-2356-4f26-b5a7-d165817acf12
Sheet: LIST

Team | [NAME] | Set | PPG | PPB | 15PG
Barrington A | Loyola Ultima (Uber) | LIST | 191.8 | 19.43
Barrington B | Loyola Ultima (Standard) | LIST | 171 | 14.79 | 1.6
Belvidere North A | Loyola Ultima (Uber) | LIST | 355.9 | 26.08
Belvidere North B | Loyola Ultima (Standard) | LIST | 194 | 13.75 | 1.5
Belvidere North C | Loyola Ultima (Standard) | LIST | 54.5 | 4.87 | 0.1
Blair | TJIAT (prelims) | LIST | 471.7 | 23.8
Carbondale A | Loyola Ultima (Uber) | LIST | 410.8 | 25.57
Carbondale B | Loyola Ultima (Standard) | LIST | 314.1 | 20.09
Chicago Christian | Loyola Ultima (Standard) | LIST | 148 | 13.08 | 0.9
Culver A | Loyola Ultima (Uber) | LIST | 327.3 | 25.15
Culver B | Loyola Ultima (Standard) | LIST | 235 | 16.37 | 1
Culver C | Loyola Ultima (Standard) | LIST | 108.5 | 11.4 | 0.5
DCC A | Loyola Ultima (Uber) | LIST | 482.7 | 26.97
Fenton | Loyola Ultima (Standard) | LIST | 311.4 | 20.09
Fenwick A | Loyola Ultima (Standard) | LIST | 309 | 18.38 | 2.5
[NAME] | Loyola Ultima (Standard) | LIST | 180 | 15.48 | 1.5
[NAME] | Loyola Ultima (Standard) | LIST | 111 | 9.76 | 0.8
GDS A | TJIAT (prelims) | LIST | 643.6 | 24.88
GDS B | TJIAT (prelims) | LIST | 217.5 | 19.09
GDS C | TJIAT (prelims) | LIST | 175.8 | 17.89
Gonzaga | TJIAT (prelims) | LIST | 306.4 | 21.18
[NAME] | TJIAT (prelims) | LIST | 103.6 | 11.76
IMSA A | Loyola Ultima (Uber) | LIST | 535 | 27.42
IMSA B | Loyola Ultima (Uber) | LIST | 345.5 | 24.8
Latin School | Loyola Ultima (Uber) | LIST | 415 | 25.17
Longfellow | TJIAT (prelims) | LIST | 88.6 | 11.67
Loyola A | Loyola Ultima (Uber) | LIST | 397.3 | 26.95
[NAME] | Loyola Ultima (Standard) | LIST | 345 | 20.53 | 2.3
[NAME] | Loyola Ultima (Standard) | LIST | 325.5 | 19.73 | 3
Loyola Platinum | Loyola Ultima (Standard) | LIST | 334.5 | 18.93 | 2.9
Maine South A | Loyola Ultima (Standard) | LIST | 289.5 | 17.19 | 3.3
Maine South B | Loyola Ultima (Standard) | LIST | 185.5 | 12.68 | 0.9
Maine South C | Loyola Ultima (Standard) | LIST | 78.5 | 11.75 | 0.2
Narwhals | TJIAT (prelims) | LIST | 211.4 | 15.79
New Kent | TJIAT (prelims) | LIST | 383.6 | 21.2
New Trier | Loyola Ultima (Uber) | LIST | 386.8 | 25.54
[NAME] | TJIAT (prelims) | LIST | 105.8 | 14.44
RM | TJIAT (prelims) | LIST | 480.7 | 24.47
St. Anselm's A | TJIAT (prelims) | LIST | 588.3 | 27.5
St. Anselm's B | TJIAT (prelims) | LIST | 105 | 11.52
St. Viator A | Loyola Ultima (Standard) | LIST | 295 | 19.4 | 2.5
St. Viator B | Loyola Ultima (Standard) | LIST | 206 | 14.14 | 1.6
Wauconda A | Loyola Ultima (Standard) | LIST | 402.5 | 19.89 | 3.7
[NAME] | Loyola Ultima (Standard) | LIST | 275 | 15.71 | 1.7
Wheaton Warrenville South A | Loyola Ultima (Uber) | LIST | 243.2 | 21.67
Wheaton Warrenville South B | Loyola Ultima (Standard) | LIST | 104 | 11.6 | 1.1
Whitman | TJIAT (prelims) | LIST | 473.3 | 25.79
Whitney Young A | Loyola Ultima (Standard) | LIST | 290 | 20.21 | 1.4
Whitney Young B | Loyola Ultima (Standard) | LIST | 166.5 | 13.12 | 0.7
WJ | TJIAT (prelims) | LIST | 248.3 | 20.82
[NAME] | Loyola Ultima (Uber) | LIST | 300.5 | 24.73
Spreadsheet: 725735d1616823722-unable-to-extract-data-from-web-pages-using-powerquery-correctly-onto-an-excel-sheet-pq-tennispq1a-test2
Sheet: Tennis Data

Hard |  | Name | Age | Wins | Matches | Lost | Surface Win % | Best Surface | Best Surface Win % | Prize Money
simona-halep |  | simona-halep
anastasija-sevastova |  | anastasija-sevastova
Hard |  | Name | Age | Wins | Matches | Lost | Surface Win % | Best Surface | Best Surface Win % | Prize Money
[NAME] |  | [NAME] | 24 | 295 | 435 | 140 | 0.7357 | Hard | 0.7357 | 1199361
roberto-bautista-agut |  | roberto-bautista-agut | 32 | 619 | 994 | 375 | 0.6587 | Grass | 0.6786 | 13457993
Hard |  | Name | Age | Wins | Matches | Lost | Surface Win % | Best Surface | Best Surface Win % | Prize Money
ekaterina-alexandrova |  | ekaterina-alexandrova
elina-svitolina |  | elina-svitolina
Hard |  | Name | Age | Wins | Matches | Lost | Surface Win % | Best Surface | Best Surface Win % | Prize Money
lorenzo-musetti |  | lorenzo-musetti | 19 | 100 | 156 | 56 | 0.7143 | Grass | 0.75 | 198373
benoit-paire |  | benoit-paire | 31 | 485 | 879 | 394 | 0.5281 | Carpet | 0.6 | 8375806
Hard |  | Name | Age | Wins | Matches | Lost | Surface Win % | Best Surface | Best Surface Win % | Prize Money
nina-stojanovic |  | nina-stojanovic
naomi-osaka |  | naomi-osaka
Hard |  | Name | Age | Wins | Matches | Lost | Surface Win % | Best Surface | Best Surface Win % | Prize Money
daniel-evans |  | daniel-evans | 30 | 491 | 786 | 295 | 0.6541 | Hard | 0.6541 | 3286573
francis-tiafoe |  | francis-tiafoe | 23 | 246 | 422 | 176 | 0.5648 | Clay | 0.662 | 3850118
Spreadsheet: 162916d1340118247-conditional-formatting-formula-to-search-a-range-of-cells-example4
Sheet: Sheet1

 |  | DH03A |  |  |  |  |  | DH06B |  |  |  | DH07A |  |  |  | DH08A |  |  |  |  |  | M-1201A
 |  | DRB3*1001 | DQA1*10012 | [NAME]*2101 | DQB*10021 | DQB*0901 |  | DRB3*2201 | [NAME]*2201-i05 | DQB*0502 |  | DRB3*0201 | DQA1*0203 | DQB*0201 |  | DRB3*1201 | DQA1*12011 | [NAME]*2201-i05 | DQB*1005 | DQB*1201 |  | DRB3*1201 | DQA1*10011 | [NAME]*2206 | DQB*10021
B5056-AA08 |  | - | - | 0 | 2 | - |  | - | 0 | - |  | 8 | 8 | 8 |  | - | - | 0 | - | - |  | - | - | 0 | 2
B5057-AA08 |  | - | - | - | 8 | - |  | - | - | - |  | 8 | 8 | 8 |  | - | - | - | - | - |  | - | 8 | 6 | 8
B5058-AA08 |  | - | - | 0 | - | - |  | - | 0 | - |  | - | - | - |  | - | - | 0 | - | - |  | - | - | 0 | -
B5059-AA08 |  | - | - | - | - | - |  | - | 8 | - |  | - | - | - |  | 8 | 8 | 8 | 8 | 8 |  | 8 | - | - | -
B5060-AA08 |  | - | - | - | - | - |  | - | - | - |  | - | 2 | - |  | - | - | - | - | - |  | - | - | - | -
B5061-AA08 |  | 8 | 8 | 8 | 8 | 8 |  | - | 8 | - |  | - | 8 | - |  | - | - | 8 | - | - |  | - | - | - | 8
B5062-AA08 |  | - | - | - | - | - |  | - | - | - |  | - | 6 | - |  | - | - | - | - | - |  | - | - | - | -
B5063-AA08 |  | - | 2 | - | 8 | - |  | - | - | - |  | - | 2 | - |  | - | - | - | - | - |  | - | 8 | - | 8
B5064-AA08 |  | - | - | 0 | - | - |  | 8 | 6 | 4 |  | - | 4 | - |  | - | - | 0 | - | - |  | - | - | 0 | -
B5065-AA08 |  | - | - | - | - | - |  | - | 8 | - |  | - | 6 | - |  | - | - | 8 | - | - |  | - | - | - | -
Spreadsheet: 698200d1601852470-formula-to-sum-variable-ranges-based-on-headers-desens
Sheet: product

Status | C | C | C | C | C | C |  | C | C | F | F | F | F
 | 06.2015 | 07.2015 | 08.2015 | 09.2015 | 10.2015 | 11.2015 |  | 12.2015 | 01.2016 | 02.2016 | 03.2016 | 04.2016 | 05.2016
 | S15 |  |  |  |  |  |  | W15 |  |  |  |  |  |  | Total
# Days | 30 | 31 | 31 | 30 | 31 | 30 |  | 31 | 31 | 29 | 31 | 30 | 31
Month | 2015-06-01 00:00:00 | 2015-07-01 00:00:00 | 2015-08-01 00:00:00 | 2015-09-01 00:00:00 | 2015-10-01 00:00:00 | 2015-11-01 00:00:00 |  | 2015-12-01 00:00:00 | 2016-01-01 00:00:00 | 2016-02-01 00:00:00 | 2016-03-01 00:00:00 | 2016-04-01 00:00:00 | 2016-05-01 00:00:00
BOP STOCK Total | 0 | 0 | 0 | 0 | 0 | 0 |  | 12 | 12 | 12 | 12 | 12 | 12
BOP store | 0 | 0 | 0 | 0 | 0 | 0 |  | 0 | 0 | 708 | 577 | 450 | 788
Plan | 1 | 2 | 3 | 4 | 5 | 6 |  | 1 | 2 | 3 | 4 | 5 | 6
Order | 7 | 8 | 9 | 10 | 11 | 12 |  | 7 | 8 | 9 | 10 | 11 | 12
VSS | 13 | 14 | 15 | 16 | 17 | 18 |  | 13 | 14 | 15 | 16 | 17 | 18
Act Indent | 19 | 20 | 21 | 22 | 23 | 24 |  | 19 | 20 | 21 | 22 | 23 | 24
Act VSS | 25 | 26 | 27 | 28 | 29 | 30 |  | 25 | 26 | 27 | 28 | 29 | 30
BOP + PIS Units | 0 | 0 | 0 | 0 | 0 | 0 |  | 1539 | 0 | 1446 | 1315 | 1188 | 1101
Spreadsheet: 02b6bd8b-97cd-4a16-942a-15ec494cdac4
Sheet: Grad Employment

 | 1990 | 1991 | 1992 | 1993 | 1994
Govt | 12.62512019230769 | 9.960825892857143 | 6.900222469410457 | 6.147437295528898 | 6.26774193548387
Professional | 1.913701923076923 | 4.024330357142857 | 2.890878754171301 | 3.046892039258452 | 2.143010752688172
Ag & Forestry | 0.1111778846153846 | 0.10859375 | 0 | 0.1980370774263904 | 0
Mining & Exploration | 0.489423076923077 | 0.340625 | 0.2946607341490545 | 0.100763358778626 | 0.2165591397849463
Manufacturing | 4.316826923076922 | 3.578236607142857 | 3.110678531701891 | 1.829116684841876 | 2.485913978494624
Power & Services | 0 | 0.21171875 | 0.7381535038932148 | 0.2615049073064341 | 0.09935483870967743
Construction | 0.3407451923076923 | 0.21171875 | 0.1454949944382647 | 0.523773173391494 | 0.07473118279569893
Trade Wholesale & Retail | 1.452283653846154 | 0.7650669642857143 | 0.539488320355951 | 0.876226826608506 | 1.61494623655914
Transport & Storage | 0.5980769230769231 | 0.09955357142857142 | 0.2055617352614016 | 0.3985823336968375 | 0
Radio & TV | 0 | 0.103125 | 0 | 0.725299890948746 | 0
Business | 15.98521634615384 | 11.27388392857143 | 5.303893214682982 | 5.53009814612868 | 6.744623655913978
Community Services | 0.1147836538461539 | 0 | 0.1919911012235817 | 0 | 0
Entertainment & Recreation | 0.2382211538461539 | 0.6765625 | 0.5615127919911013 | 0.818102508178844 | 1.009677419354839
Education | 5.758653846153845 | 4.488839285714286 | 4.468186874304783 | 3.754416575790621 | 2.886774193548387
Not Stated | 0.5789663461538461 | 0.4608258928571428 | 0.653503893214683 | 0.4014176663031625 | 0.5196774193548387
Spreadsheet: 811946d1672879365-help-with-count-based-on-criteria-for-duplicates-example-los
Sheet: Allentown

Stops
Late
On Time
Order # | Route # | Tractor # | Trailer # | Trl Type | Trl L | Trl W | Driver # | Sched Ready | Sched Ship | Actual Ship Arrive | Actual [NAME] | Stops | Pickups | [NAME] | Location | Name | City | State | Window Begin | Window End | Arrive | [NAME] | Var | Late | Is store location | Is DC | Is store location only/No DC
Spreadsheet: 88803d1288639280-counting-values-in-a-range-book1
Sheet: Sheet1

 |  | Day 1 | Day 2 | Day 3 | Day 4 | Day 5 | Day 6 | Day 7 | Day 8 | Day 9 | Day 10
1 | Student 1 | 100 | 100 | 100 | 100 | 100 | 92.65 | 94.55 | 100 | 92.73 | 96.88
2 | Student 2 | 100 | 100 | 100 | 94.74 | 95.89 | 100 | 96.67 | 100 | 100 | 100
3 | Student 3 | 100 | 100 | 96.49 | 91.53 | 100 | 100 | 100 | 100 | 96.84 | 100
4 | Student 4 | 100 | 93.88 | 100 | 96 | 97.89 | 74.55 | 95.89 | 88.24 | 97.89 | 90.91
5 | Student 5 | 100 | 94.44 | 96.36 | 80 | 95.74 | 100 | 95.56 | 100 | 90.91 | 95.74
6 | Student 6 | 100 | 100 | 100 | 90.91 | 97.18 | 89.47 | 100 | 96.49 | 76.6 | 96.49
7 | Student 7 | 100 | 94.92 | 96.49 | 100 | 81.82 | 96.36 | 83.16 | 96.36 | 100 | 94.55
8 | Student 8 | 95.89 | 100 | 100 | 90.91 | 95.74 | 100 | 97.89 | 94.74 | 78 | 100
9 | Student 9 | 100 | 100 | 100 | 100 | 94.74 | 100 | 100 | 100 | 100 | 91.23
 |  | Ranges
 |  | 100 | ??
 |  | 95.99 - 90.50 | ??
 |  | 90.49 - 80.50 | ??
 |  | 80.49  - 70.50 | ??
 |  | 70.50 - 0 | ??
Spreadsheet: rick_buy__32877__Turbine Position Report 111501a
Sheet: Summary by Type

Turbine Position Report |  |  |  |  |  |  |  | CONFIDENTIAL
Summary by Turbine Type
($ MMs)
 |  |  |  |  |  |  | Financial Data as of
UNITS | MODEL | CONTROLLED BY | PROJECT(S) | DASH APPROVAL DATE / STATUS | CONTRACT COST | SCHEDULED CONTRACT PYMTS TO DATE | CANCELLATION | STATUS
 |  |  |  |  |  |  |  | Available
 |  |  |  | total per above
 |  |  |  | per Summary By [NAME] report
 |  |  |  | Difference
Spreadsheet: 769097d1645288458-yearly-change-formula-function-sample
Sheet: Calculation

 | Selected Information (Form Controls) |  |  |  |  |  |  |  |  |  |  | Calculation for scrolling table
 |  | Selected Type | 2
 |  | Selected Year | 1
 |  |  |  |  |  |  |  |  |  |  |  |  | Year
 |  |  |  |  |  |  |  |  |  |  |  |  | 2019
 | For Drop_down selections |  |  |  |  | Types data |  |  |  |  |  |  |  |  |  |  | difference from  previous year
 | Year | Type | Values |  |  |  | gram_positive |  |  |  |  | Nr. | Type | isolates_tested | isolates_susceptible | %susceptibility | Δ% susceptibility
 | 2018 | gram_negative | isolates_tested |  |  | Amikacin-Citrobacter freundii | Ampicillin-Enterococcus spp.
 | 2019 | gram_positive | isolates_susceptible |  |  | Amikacin-Klebsiella pneumoniae | Group A Strep-Penicillin
 | 2020 |  | %susceptibility |  |  | Amikacin-Proteus mirabilis | Group B Strep-Penicillin
 |  |  |  |  |  | [NAME] cloacae complex | Linezolid-MRSA
 |  |  |  |  |  | [NAME] morganii | Penicillin-Staphylococcus aureus
 |  |  |  |  |  | [NAME] coli | Linezolid-MSSA
 |  |  |  |  |  | Ertapenem-Acinetobacter baumannii | Penicillin-MRSA
 |  |  |  |  |  | Ertapenem-E. coli
 |  |  |  |  |  | Tobramycin-Klebsiella aerogenes
Spreadsheet: kevin_presto__19768__EWS East Position Report 043001
Sheet: MW Summary

2001-04-30 00:00:00 | On MW | Off MW |  |  | Change |  |  | 2001-04-27 00:00:00 | On MW | Off MW
CA North | -91.01085288589759 | -196.0089378650417 |  |  |  |  |  | CA North | -86.17614980548866 | -219.5305411168812
CA South | -176.4559889029248 | -347.2424738290552 |  |  |  |  |  | CA South | -168.673778814073 | -354.3115589738692
COB | 797.7243522372124 | 963.2562281861522 |  |  |  |  |  | COB | 797.3673356896388 | 962.7519719981162
Mid Columbia | 339.1412292152855 | 287.3720364279703 |  |  |  |  |  | Mid Columbia | 339.1412292152855 | 287.3720364279703
Palo Verde | -252.2591325185881 | -308.098827471331 |  |  |  |  |  | Palo Verde | -231.8827585677606 | -291.8712775057028
Rockies | 92.94336923179519 | 34.8933036162923 |  |  |  |  |  | Rockies | 92.94336923179517 | 34.89330361629231
ZP | 0.7388707162422374 | 16.87925292175918 |  |  |  |  |  | ZP | -2.033051538853252 | 13.87242001806427
Total |  |  |  |  |  |  |  | Total
Associated | -0.05225860628968668 | -0.214027775908307 |  |  |  |  |  | Associated | -0.05225860628968668 | -0.214027775908307
CINergy | 3104.086815452611 | 2296.356168839627 |  |  |  |  |  | CINergy | 3059.292268327559 | 2285.543596730439
COMED |  |  |  |  |  |  |  | COMED | -2895 | -2210
Eastern ECAR | -17.46540981901394 | -16.19278840073492 |  |  |  |  |  | Eastern ECAR | -17.46540981901394 | -16.19278840073492
ECAR | -26.8338976024521 | -61.31011606382094 |  |  |  |  |  | ECAR | -26.36328875435906 | -61.3596379673476
Entergy | 7031.449542728713 | 6800.151325730647 |  |  |  |  |  | Entergy | 7014.126560696588 | 6789.560761567695
ERCOT | 365.0704690664641 | -346.3525254339906 |  |  |  |  |  | ERCOT | 559.7733359111313 | -209.5198046647307
FRCC | -1578.977350255177 | -1085.091626129991 |  |  |  |  |  | FRCC | -1576.311625409387 | -1083.063056842726
MAPP | 392.9170031835887 | 309.9278344276652 |  |  |  |  |  | MAPP | 392.8865573229999 | 309.897388567076
SERC | -426.0374983236911 | -373.3621409805518 |  |  |  |  |  | SERC | -426.0374983236912 | -373.3621409805517
Southern MAPP | -865.305693385447 | -651.3087250108832 |  |  |  |  |  | Southern MAPP | -865.305693385447 | -651.3087250108832
TVA | -3707.080365717478 | -4090.510384483297 |  |  |  |  |  | TVA | -3863.578721487239 | -4227.846520923376
Total |  |  |  |  |  |  |  | Total
NEPOOL | 572.493917171277 | -800.208585121706 |  |  |  |  |  | NEPOOL | 572.3001985797126 | -800.8251916275309
NY East | -9354.81899586343 | -7979.154023628313 |  |  |  |  |  | NY East | -9328.110472824836 | -7958.695870853492
NY West | -64.23375143637587 | -690.5799097594813 |  |  |  |  |  | NY West | -78.00732370757287 | -704.3534820306784
West Hub | 2305.731499836916 | -724.1603101950886 |  |  |  |  |  | West Hub | 2346.375520664345 | -698.2236849253261
Zone J | 4476.937715240825 | -2531.396403594703 |  |  |  |  |  | Zone J | 4480.278173448425 | -2528.424386994442
Total |  |  |  |  |  |  |  | Total
Grand total |  |  |  |  |  |  |  | Grand total
Net Open |  |  |  |  |  |  |  | Net Open
Spreadsheet: c716256c-62ee-4dea-9916-c26e951594fe
Sheet: Sheet1

[NAME] | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4
Quelle: http://ergebnisse.vimentis.ch/
Frage:
Vermögende Ausländerinnen und Ausländer werden in Zukunft im [NAME] Einkommen und Vermögen besteuert. [NAME] ist nicht mehr möglich.
 | Zivilstand:
Antwort | Ledig | Verheiratet / Konkubinat / Eingetragene Partnerschaft | Geschieden | [NAME]
[NAME] | 0.67 | 0.71 | 0.8 | 0.76
[NAME] | 0.22 | 0.23 | 0.15 | 0.18
Neutral / Weiss nicht | 0.12 | 0.06 | 0.05 | 0.07
Angaben zu den [NAME]
Erhebungsjahr | 2010
Stichprobengrösse | 29292
Erhebungszeitraum | 02.10.2010 bis: 06.12.2010
[NAME] | [NAME]
Methodik / Repräsentativität
Um soziodemographische Verzerrungen [NAME], wurden sämtliche [NAME] nach [NAME], Alter, Bildung und Region gemäss der wahren [NAME] älter als 15 Jahre gewichtet. Es bleibt eine psychographische Verzerrung wegen
der [NAME] über das Internet, welche nicht korrigiert [NAME]. Diese Verzerrung wird anhand einzelner [NAME] für jede [NAME] abgeschätzt. Demnach sind [NAME] auf dieser Seite angegebenen [NAME] mit einer
Präzision von &plusmn;2% [NAME].
[NAME] und [NAME] auf dieser Seite dürfen unter Angabe der Quelle weiterverwendet werden.
Spreadsheet: df4c52b5-0e95-4f96-ae0a-52ea84daae90
Sheet: Sheet1

Battle ID | Date & Time | Side | Victory | Score | Opp. Score | Opp. ID | Opp. Name | Scenario ID | Front | Start Date | End Date | Name EN | Name FR
40271087 | 2014-02-27 22:25:17 | AXIS | 0 | 6 | 10 | 286861 | Grozours | 7662 | eastern | 1942-10-22 | 1942-10-22 | Red Barricades Factory | Les Barricades Rouges
40271564 | 2014-02-27 22:51:21 | ALLIES | 1 | 10 | 4 | 286861 | Grozours | 7662 | eastern | 1942-10-22 | 1942-10-22 | Red Barricades Factory | Les Barricades Rouges
40416004 | 2014-03-08 17:15:31 | AXIS | 1 | 7 | 4 | 901544 | manu76 | 7668 | pacific | 1945-02-26 | 1945-03-06 | The Meat Grinder | Le Hachoir à viande
40416309 | 2014-03-08 17:36:13 | ALLIES | 0 | 5 | 7 | 901544 | manu76 | 7668 | pacific | 1945-02-26 | 1945-03-06 | The Meat Grinder | Le Hachoir à viande
40416768 | 2014-03-08 18:10:31 | AXIS | 1 | 6 | 3 | 1142502 | Soldat d'Automne | 12504 | mediterranean | 1943-11-05 | 1943-11-13 | [NAME] | [NAME]
40417172 | 2014-03-08 18:36:55 | ALLIES | 0 | 4 | 6 | 1142502 | Soldat d'Automne | 12504 | mediterranean | 1943-11-05 | 1943-11-13 | [NAME] | [NAME]
Spreadsheet: 228814d1366218312-which-group-of-students-performed-better-sample
Sheet: Group1

students | scores |  | Column1
1 | 15
2 | 12 |  | Mean | 6.9
3 | 13 |  | Standard Error | 1.220224310699083
4 | 10 |  | Median | 7.5
5 | 0 |  | Mode | 12
6 | -2 |  | Standard Deviation | 5.457009013041947
7 | -4 |  | Sample Variance | 29.77894736842105
8 | 2 |  | Kurtosis | -0.7931647720628949
9 | 6 |  | Skewness | -0.4448797806600291
10 | 9 |  | Range | 19
11 | 10 |  | Minimum | -4
12 | 12 |  | Maximum | 15
13 | 13 |  | Sum | 138
14 | 2 |  | Count | 20
15 | 7
16 | 5
17 | 6
18 | 8
19 | 2
20 | 12
Spreadsheet: 161242d1339452456-count-the-number-of-events-in-an-interval-tigeravatar-example-for-invictus
Sheet: WS2

Event ID | Event Time
1 | 2012-06-01 00:35:38
2 | 2012-06-01 11:58:16
3 | 2012-06-01 13:10:22
4 | 2012-06-01 17:05:59
5 | 2012-06-01 19:53:56
6 | 2012-06-01 23:36:00
7 | 2012-06-02 09:22:09
8 | 2012-06-02 13:38:13
9 | 2012-06-02 16:38:30
10 | 2012-06-02 17:58:20
11 | 2012-06-03 06:37:14
12 | 2012-06-03 08:12:44
13 | 2012-06-03 08:39:33
14 | 2012-06-03 09:25:53
15 | 2012-06-03 12:10:13
16 | 2012-06-03 13:07:25
17 | 2012-06-03 14:35:34
18 | 2012-06-03 17:19:57
19 | 2012-06-03 18:53:25
20 | 2012-06-04 00:06:09
21 | 2012-06-04 02:19:33
22 | 2012-06-04 02:56:58
23 | 2012-06-04 03:49:12
24 | 2012-06-04 07:38:41
25 | 2012-06-04 10:36:54
26 | 2012-06-04 11:19:32
27 | 2012-06-04 12:05:46
28 | 2012-06-04 12:09:11
29 | 2012-06-04 14:25:47
30 | 2012-06-04 20:28:04
31 | 2012-06-04 21:23:11
32 | 2012-06-04 23:07:48
33 | 2012-06-04 23:18:54
34 | 2012-06-05 00:23:39
35 | 2012-06-05 02:35:28
36 | 2012-06-05 05:21:41
37 | 2012-06-05 07:37:46
38 | 2012-06-05 08:26:56
39 | 2012-06-05 09:25:17
40 | 2012-06-05 13:10:05
41 | 2012-06-05 13:53:51
42 | 2012-06-05 15:50:00
43 | 2012-06-05 21:17:15
44 | 2012-06-05 22:26:02
45 | 2012-06-06 04:44:59
46 | 2012-06-06 07:08:55
47 | 2012-06-06 08:19:27
48 | 2012-06-06 08:30:25
49 | 2012-06-06 09:37:45
50 | 2012-06-06 12:07:21
51 | 2012-06-06 12:10:53
52 | 2012-06-06 14:55:37
53 | 2012-06-06 16:39:27
54 | 2012-06-06 21:18:13
55 | 2012-06-06 21:49:57
56 | 2012-06-07 01:23:15
57 | 2012-06-07 01:50:12
58 | 2012-06-07 02:07:06
59 | 2012-06-07 06:33:10
60 | 2012-06-07 07:24:40
61 | 2012-06-07 12:37:48
62 | 2012-06-07 20:02:31
63 | 2012-06-07 20:09:31
64 | 2012-06-07 22:04:34
65 | 2012-06-08 04:04:44
66 | 2012-06-08 04:59:17
67 | 2012-06-08 06:12:43
68 | 2012-06-08 09:21:21
69 | 2012-06-08 12:17:44
70 | 2012-06-08 18:05:16
71 | 2012-06-08 21:36:10
72 | 2012-06-08 22:07:51
73 | 2012-06-08 23:03:39
74 | 2012-06-09 05:19:14
75 | 2012-06-09 09:56:57
76 | 2012-06-09 10:02:54
77 | 2012-06-09 13:10:28
78 | 2012-06-09 13:52:01
79 | 2012-06-09 13:53:48
80 | 2012-06-09 14:31:11
81 | 2012-06-09 18:56:30
82 | 2012-06-09 20:21:17
83 | 2012-06-09 20:23:05
84 | 2012-06-09 23:36:55
85 | 2012-06-10 00:39:40
86 | 2012-06-10 03:13:59
87 | 2012-06-10 06:02:29
88 | 2012-06-10 09:57:27
89 | 2012-06-10 10:08:11
90 | 2012-06-10 13:57:29
91 | 2012-06-10 17:16:38
92 | 2012-06-10 20:55:00
93 | 2012-06-10 22:38:45
94 | 2012-06-11 05:52:43
95 | 2012-06-11 06:24:54
96 | 2012-06-11 08:49:28
97 | 2012-06-11 09:56:40
98 | 2012-06-11 15:49:03
99 | 2012-06-11 15:56:26
100 | 2012-06-11 20:16:32
Spreadsheet: 91357d1291116079-solver-optimization-query-optimization-example-philipth
Sheet: IGINS 4

 |  | A |  |  |  |  |  |  |  |  |  |  |  | x |  | Ax |  | b |  | CT
 |  | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |  | a | 2008.150337640194 |  | 1417.177753364617 |  | 1417.17775336487 |  | 1.484464885295675 | 1.484464885295675 | 1.484464885295675 | 1.484464885295675 | 1.471979808559435 | 1.471979808559435 | 1.471979808559435 | 1.47121054192509 | 1.47121054192509 | 1.468648482007685
 |  | 0 | -1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 |  | b | -590.9628294170825 |  | 2682.988898179139 |  | 2682.98889817914
 |  | 0 | 0 | -1 | 0 | 0 | -1 | 0 | 1 | 1 | 0 |  | c | -0.0001606180515061354 |  | -2.350730016458663e-13 |  | 0
 |  | 0 | 0 | 0 | -1 | 0 | 0 | -1 | 0 | -1 | 1 |  | d | -0.009594240443267848 |  | 0 |  | 0
 |  |  |  |  |  |  |  |  |  |  |  |  | e | 1066.231136350346
 |  |  |  |  |  |  |  |  |  |  |  |  | f | 512.8775322853734
 |  |  |  |  |  |  |  |  |  |  |  |  | g | 512.9174001263375
 |  |  |  |  |  |  |  |  |  |  |  |  | h | 512.8772772201402
 |  |  |  |  |  |  |  |  |  |  |  |  | i | 9.444718147418325e-05
 |  |  |  |  |  |  |  |  |  |  |  |  | j | 512.9079003330758
 |  | cTx
 |  | 8445.558847494494 | Want to minimise this - expect best solution to be 6,053
 | Expect solution: | 6053.05609580119
 | Difference | 2392.502751693304
 |  | Solution: | Curve trade/CDS | Amount |  | Expected
 |  |  | a | 2008.150337640194 |  | 1417
 |  |  | b | -590.9628294170825 |  | 0
 |  |  | c | -0.0001606180515061354 |  | 0
 |  |  | d | -0.009594240443267848 |  | 0
 |  |  | e | 1066.231136350346 |  | 2683
 |  |  | f | 512.8775322853734 |  | 0
 |  |  | g | 512.9174001263375 |  | 0
 |  |  | h | 512.8772772201402 |  | 0
 |  |  | i | 9.444718147418325e-05 |  | 0
 |  |  | j | 512.9079003330758 |  | 0
Spreadsheet: benjamin_rogers__1220__UAE's Cost Model with debt structure 04-13-00
Sheet: Cash Flows

[NAME]
 | 0
('000 $) | Close
EBITDA | 0
Less Interest Payments | 0
Pre-Tax Cashflow
Less Cash Taxes | 0
Less Principal Payments | 0
Depreciation | 0 |  |  |  |  |  | 0 | 0 | 0 | 0 | 0
Less Capex | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
Cashflow to Equity
 | 1
Distribution to Equity
ENRON'S RETURNS ANALYSIS
[NAME] | 0.2
Lease Option
With 20% of Initial Project Costs |  | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10
Equity Return
Actual Cash Flow
[NAME] | 0 | 0 | 0 | 0 | 0
Total Cash Flow
 | IRR
7-Yr. Debt Option
With 20% of Initial Project Costs
Equity Return
Actual Cash Flow
[NAME] | 0 | 0 | 0 | 0 | 0 | 0 | 0
Total Cash Flow
 | IRR
10-Yr. Debt Option
With 20% of Initial Project Costs
Equity Return
Actual Cash Flow
[NAME] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
Total Cash Flow
 | IRR