tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: chris_germany__1830__DecCohCHOICE-ENA
Sheet: Dec 10

 | COH CHOICE NOMINATIONS TO ACTUALS
 | FOR GAS DAY |  |  |  |  |  |  |  | 2000-12-10 00:00:00
 |  | MA | NOM ID |  | FT |  | AT |  | FORECASTED |  | ACTUALS |  | CONTRACT # | % Storage | Over | Sto | [NAME]
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | FT DROP |  | AT DROP
 | COH 3-15 | 22-15 | 3342 |  |  |  |  |  | 865 |  |  |  | 67694 |  |  |  |  |  | 30 | 1 | x
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 33 | 2 | x
 | COH 5-2 | 23N-02 | 3343 |  |  |  |  |  | 3211 |  |  |  | 67694 |  |  |  |  |  | 31 | 3 | x
 |  |  |  |  |  |  |  |  | 5000 |  |  |  | 68918 | 0 |  |  |  |  | 33 | 4 | x
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 34 | 5 | x
 | COH 5-7 | 23N-07 | 3344 |  |  |  |  |  | 1238 |  |  |  | 67694 |  |  |  |  |  | 33 | 6 | x
 |  |  |  |  |  |  |  |  | 1535 |  |  |  | 68915 | 0 |  |  |  |  | 32 | 7 | x
 |  |  |  |  |  |  |  |  | 1540 |  |  |  | 69693 | 0 |  |  |  |  | 37 | 8 | x
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 35 | 9 | x
 | COH 7-1 | 23-01 | 3788 |  |  |  |  |  | 11811 |  |  |  | 67694 |  |  |  |  |  | 44 | 15 | x
 |  |  |  |  |  |  |  |  | 673 |  |  |  | 69149 | 0 |  |  |  |  | 36 | 35 | x
 |  |  |  |  |  |  |  |  | 0 |  |  |  | 68915 | 0 |  |  |  |  | 33 | 39 | x
 |  |  |  |  |  |  |  |  | 0 |  |  |  | 68918 | 0
 | COH 7-3 | 23-03 | 3789 |  |  |  |  |  | 1050 |  |  |  | 67694
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | %
 | COH 7-4 | 23-04 | 3345 |  |  |  |  |  | 674 |  |  |  | 67694 |  |  |  |  |  | Storage
 |  |  |  |  |  |  |  |  | 1915 |  |  |  | 68916 | 0 |  |  |  |  | #67694
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1
 | COH 7-5 | 23-05 | 2777 |  |  |  |  |  | 9770 |  |  |  | 67694
 | COH 7-6 | 23-06 | 3346 |  |  |  |  |  | 1400 |  |  |  | 67694
 | COH 7-8 | 23-08 | 3790 |  |  |  |  |  | 3229 |  |  |  | 67694
 | COH 7-9 | 23-09 | 3791 |  |  |  |  |  | 4312 |  |  |  | 67694
 | COH 8-35 | 24-35 | 3348 |  |  |  |  |  | 195 |  |  |  | 67694 | 1
 |  |  |  |  |  |  |  |  | 1000 |  |  |  | 69823 | 0
 | COH 8-39 | 24-39 | 3792 |  |  |  |  |  | 37 |  |  |  | 67694 | 1
 |  |  |  |  |  |  |  | x | 1.Nom to COH |  | 1. Email to COH |  |  |  |  |  |  | FOM
 |  |  |  |  |  |  |  | x | 2.Email to ENA |  | 2. Email to ENA |  |  |  |  |  |  | [NAME] from/(Sell to) ENA
Spreadsheet: 270625d1381558733-total-number-of-the-dates-of-a-month-that-have-data-so-far-workdatedata
Sheet: Sheet2

 | month | AAA | BBB | total workdates |  |  |  |  |  |  |  |  |  | AAA | BBB | Total Workdates
1 | [NAME] | 5513.499999999999 | 4037.4 |  | 0 |  |  |  |  |  |  |  |  | 5513.499999999999 | 4037.4 | 22
2 | Feb-13 | 3740.599999999999 | 4305.599999999999 | 19 |  |  |  |  |  |  |  |  |  | 3740.599999999999 | 4305.599999999999 | 20
3 | Mar-13 | 3144.400000000001 | 3739.8 | 19 |  |  |  |  |  |  |  |  |  | 3144.400000000001 | 3739.8 | 19
4 | Apr-13 | 3155.3 | 4038 | 22 |  |  |  |  |  |  |  |  |  | 3155.3 | 4038 | 22
5 | [NAME] | 4437.900000000001 | 2442.2 | 19 |  |  |  |  |  |  |  |  |  | 4437.900000000001 | 2442.2 | 19
6 | Jun-13 | 3576.4 | 3103.4 | 19 |  |  |  |  |  |  |  |  |  | 3576.4 | 3103.4 | 19
7 | Jul-13 | 5362.699999999999 | 4332.200000000001 | 22 |  |  |  |  |  |  |  |  |  | 5362.699999999999 | 4332.200000000001 | 22
8 | Aug-13 | 4748.2 | 2343.7 | 21 |  |  |  |  |  |  |  |  |  | 4748.2 | 2343.7 | 21
9 | Sep-13 | 5090.900000000001 | 6229.200000000001 | 21 |  |  |  |  |  |  |  |  |  | 5090.900000000001 | 6229.200000000001 | 21
10 | Oct-13 | 1733.2 | 2176.7 | 8 |  |  |  |  |  |  |  |  |  | 1733.2 | 2176.7 | 22
11 | Nov-13 |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 21
12 | Dec-13 |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 20
1 | Jan-14 |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 21
2 | Feb-14 |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 20
3 | Mar-14 |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 19
4 | Apr-14 |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 20
5 | May-14 |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 21
6 | Jun-14 |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 20
7 | Jul-14 |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 23
8 | Aug-14 |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 20
9 | Sep-14 |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 22
10 | Oct-14 |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 22
11 | Nov-14 |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 20
12 | Dec-14 |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 21
 | etc. |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 0
 | etc. |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 0
Spreadsheet: 175469d1345546949-look-up-value-and-return-all-matching-results-lookup-value-and-return-all-matches
Sheet: Sheet1

Ref | Amount
[NAME] | 5 |  | [NAME]
Nan | 10
[NAME] | 3
[NAME] | 10
[NAME] | 7
Nan | 2
Spreadsheet: 878275d1725351943-filter-formula-get-data-from-other-excel-file-workbook-a
Sheet: DATA

NAMES | WAYBILL# | COUNTRY | WEIGHT | AMOUNT
SAM | 2001 | USA | 2 | 2500
SHA | 2002 | SPAIN | 4 | 3800
SHA | 2003 | FRANCE | 5 | 4500
SAM | 2004 | CANADA | 2 | 2500
SHA | 2005 | GERMANY | 5 | 4550
EXS | 2006 | IRELAND | 2 | 2800
EXS | 2007 | CANADA | 1 | 1950
EXS | 2008 | GERMANY | 2 | 2800
Spreadsheet: 323b6799-d232-442a-9325-41019f33a184
Sheet: Sheet1

UF | Tot_Aptos_Biometria | Aptos_UF
AC | 11628 | 478073
AL | 1766116 | 2066365
AM |  | 2060533
AP | 5210 | 425853
BA | 24327 | 9662396
CE | 28210 | 5920205
DF |  | 1836245
ES | 70334 | 2533199
GO | 874354 | 4137587
MA | 97920 | 4330254
MG | 282560 | 14532920
MS | 72773 | 1703739
MT | 68815 | 2076114
PA | 45189 | 4844244
PB | 69910 | 2745233
PE | 353207 | 6321163
PI | 103325 | 2267374
PR | 1181102 | 7606408
RJ | 20762 | 11594812
RN | 172423 | 2250268
RO | 324108 | 1102879
RR |  | 274773
RS | 224312 | 8103965
SC | 18206 | 4568734
SE | 1343577 | 1485079
SP | 299247 | 30515506
TO | 122379 | 955769
TOTAIS | 7579994 | 136399690
Spreadsheet: 24679aca-6ab8-4dc9-b3b3-9578e655c4b1
Sheet: Sheet1

Table 9--Wheat:  U.S. exports, [NAME] and export sales comparison (1,000 metric tons), 7/10/12 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7
 | 2009/10 |  | 2010/11 |  | 2011/12(as of 6/28/12)
Importing |  |  |  |  |  | Out-
country |  |  |  |  | Shipments | standing | Total
Data |  | Export |  | Export | Export
source | Census 1/ | sales 2/ | Census 1/ | sales 2/ | sales 2/
Country:
Egypt | 423.6 | 455.6 | na | 4021.2 | 131 | 0 | 131
Nigeria | 3256.1 | 3233 | na | 3645.3 | 284.4 | 280.5 | 564.9
Japan | 3171 | 3148.3 | na | 3273 | 262.2 | 559 | 821.2
Mexico | 1999.7 | 1974.6 | na | 2601 | 278.1 | 745.3 | 1023.4
Philippines | 1573.1 | 1517.5 | na | 1806.3 | 216.5 | 301.4 | 517.9
South Korea | 1102.1 | 1110.7 | na | 406.5 | 52.4 | 356.2 | 408.6
Taiwan | 837.8 | 843.6 | na | 912.9 | 102.5 | 184.3 | 189.4
Venezuela | 658.1 | 657.8 | na | 615.7 | 78.4 | 178.4 | 256.8
Colombia | 623 | 575.4 | na | 782.7 | 42.7 | 89 | 131.7
Peru | 525.5 | 566.8 | na | 922.9 | 0 | 30.5 | 30.5
Indonesia | 539 | 528.6 | na | 781.4 | 1.2 | 143.1 | 144.3
EU-27 | 545.4 | 606.1 | na | 1307.6 | 68 | 28.3 | 96.3
Total grain | 23181.9 | 21686.3 | na | 33438.5 | 2331.6 | 4802.1 | 7133.700000000001
Total (including
products) | 23976.9 | 21794.1 | na | 33538.8 | 2336.4 | 4819.700000000001 | 7156.1
USDA forecast
of Census |  |  |  | 35244 |  |  | 31.3
1/ Source is U.S. Department of Commerce, U.S. Census Bureau
2/ Source is Foreign Agricultural Service's weekly U.S. Export Sales report.
Source: USDA, Foreign Agricultural Service's, U.S. Export Sales.
Spreadsheet: 786867d1657521785-formula-to-find-the-multiple-values-and-consolidate-in-new-row-consolidatemultiplelines
Sheet: Expected Result

 |  |  | ExpectedResult | [NAME]
Chars. | Task | Value | NewCol. |  |  |  | DD
SKA1 | AA | TK01 |  |  |  | SKA1 | GG
SKA1 | BB | TE22 |  |  |  | [NAME] | DD
SKA1 | CC | VK10 |  |  |  | [NAME] | GG
SKA1 | DD | AS11 | AS11, AS26 |  |  | SKT2 | DD
SKA1 | DD | AS26 | AS11, AS26 |  |  | SKT2 | GG
SKA1 | EE | BA01
SKA1 | FF | BA02
SKA1 | GG | 122 | 122, 340, 520, 540
SKA1 | GG | 340 | 122, 340, 520, 540
SKA1 | GG | 520 | 122, 340, 520, 540
SKA1 | GG | 540 | 122, 340, 520, 540
SKA1 | HH
SKA1 | II
SKA1 | JJ
SKA1 | KK
SKA1 | LL
SKA1 | MM
SKA1 | NN
SKA1 | OO
SKA1 | PP
SKA1 | QQ
SKA1 | RR
SKA1 | SS
SKA1 | TT
SKA1 | UU
[NAME] | DD | AS22 | AS22, AS54,, AS59
[NAME] | DD | AS54 | AS22, AS54,, AS59
[NAME] | DD | AS59 | AS22, AS54,, AS59
[NAME] | EE
[NAME] | FF
[NAME] | GG | 220 | 220, 260
[NAME] | GG | 260 | 220, 260
[NAME] | HH
[NAME] | II
[NAME] | JJ
[NAME] | KK
[NAME] | LL
SKT2 | DD | AS19 | AS19
SKT2 | EE
SKT2 | FF
SKT2 | GG | 740 | 740
SKT2 | HH
SKT2 | II
SKT2 | JJ
SKT2 | KK
SKT2 | LL
Spreadsheet: 704726d1605718830-nested-if-function-only-show-data-when-available-q_if
Sheet: Sheet1

 |  |  |  |  |  |  |  | VOG-Eloy gr.1/2B |  |  | VOG-Eloy gr.3 |  |  | VOG-Eloy gr.4 |  |  | VOG-Eloy gr.6
 |  |  |  |  | Date | CO2 |  | Date | CO2 |  | Date | CO2 |  | Date | CO2 |  | Date | CO2
VOG-Eloy |  |  |  |  |  | 669 |  | 2020-11-09 00:00:00 | 669 |  | 2020-11-09 00:00:00 | 669 |  | 2020-11-09 00:00:00 | 669 |  | 2020-11-09 00:00:00 | 669
VOG-Eloy gr.4 |  | VOG-Eloy gr.1/2B |  |  | 2020-11-09 00:00:00 | 606 |  | 2020-11-09 00:00:00 | 606 |  | 2020-11-09 00:00:00 | 606 |  | 2020-11-09 00:00:00 | 606 |  | 2020-11-09 00:00:00 | 606
 |  | VOG-Eloy gr.3 |  |  | 2020-11-09 00:00:00 | 611 |  | 2020-11-09 00:00:00 | 611 |  | 2020-11-09 00:00:00 | 611 |  | 2020-11-09 00:00:00 | 611 |  | 2020-11-09 00:00:00 | 611
 |  | VOG-Eloy gr.4 |  |  | 2020-11-09 00:00:00 | 786 |  | 2020-11-09 00:00:00 | 786 |  | 2020-11-09 00:00:00 | 786 |  | 2020-11-09 00:00:00 | 786 |  | 2020-11-09 00:00:00 | 786
 |  | VOG-Eloy gr.6 |  |  | 2020-11-09 00:00:00 | 889 |  | 2020-11-09 00:00:00 | 889 |  | 2020-11-09 00:00:00 | 889 |  | 2020-11-09 00:00:00 | 889 |  | 2020-11-09 00:00:00 | 889
 |  |  |  |  | 2020-11-09 00:00:00 | 1055 |  | 2020-11-09 00:00:00 | 1055 |  | 2020-11-09 00:00:00 | 1055 |  | 2020-11-09 00:00:00 | 1055 |  | 2020-11-09 00:00:00 | 1055
 |  |  |  |  | 2020-11-09 00:00:00 | 1231 |  | 2020-11-09 00:00:00 | 1231 |  | 2020-11-09 00:00:00 | 1231 |  | 2020-11-09 00:00:00 | 1231 |  | 2020-11-09 00:00:00 | 1231
 |  |  |  |  | 2020-11-09 00:00:00 | 1366 |  | 2020-11-09 00:00:00 | 1366 |  | 2020-11-09 00:00:00 | 1366 |  | 2020-11-09 00:00:00 | 1366 |  | 2020-11-09 00:00:00 | 1366
 |  |  |  |  | 2020-11-09 00:00:00 | 1448 |  | 2020-11-09 00:00:00 | 1448 |  | 2020-11-09 00:00:00 | 1448 |  | 2020-11-09 00:00:00 | 1448 |  | 2020-11-09 00:00:00 | 1448
 |  |  |  |  | 2020-11-09 00:00:00 | 1668 |  | 2020-11-09 00:00:00 | 1668 |  | 2020-11-09 00:00:00 | 1668 |  | 2020-11-09 00:00:00 | 1668 |  | 2020-11-09 00:00:00 | 1668
 |  |  |  |  | 2020-11-09 00:00:00 | 1806 |  | 2020-11-09 00:00:00 | 1806 |  | 2020-11-09 00:00:00 | 1806 |  | 2020-11-09 00:00:00 | 1806 |  | 2020-11-09 00:00:00 | 1806
 |  |  |  |  | 2020-11-09 00:00:00 | 1927 |  | 2020-11-09 00:00:00 | 1927 |  | 2020-11-09 00:00:00 | 1927 |  | 2020-11-09 00:00:00 | 1927 |  | 2020-11-09 00:00:00 | 1927
Spreadsheet: 137797d1327387674-excel-2007-using-spreadsheet-as-calendar-and-placing-last-date-on-different-spreadsheet-book1
Sheet: Open1

 | 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
January | 4 | 6 | 4.25 | 3.5 |  |  | 10 |  |  |  | 14 |  |  | 15
February
March
April
May
June
July
August
September
October
November
December
Spreadsheet: 188089d1350672882-matching-two-columns-of-data-in-two-different-worksheets-dummy-worksheet
Sheet: WED, JAN 9

 |  |  |  | DAILY DEPOSIT
 |  |  |  | Wednesday |  | 2012-10-17 00:00:00
 |  |  |  | Check Totals
 |  |  |  |  | Cash Totals
 |  |  |  | Deposit Total
 | Checks |  |  | Checks |  |  | Checks |  |  | Checks |  |  | Checks
 | No. | Amount |  | No. | Amount |  | No. | Amount |  | No. | Amount |  | No. | Amount
 | Checks |  |  | Checks |  |  | Checks |  |  | Checks |  |  | Checks
 | Cash |  |  | Cash |  |  | Cash |  |  | Cash |  |  | Cash
Spreadsheet: 860285d1708440879-can-the-subtotal-9-sum-function-be-replicated-by-using-a-formula-instead-apple-example
Sheet: Sheet1

Product Name | Product Category | Region | Country | Sales channel | Sales ($)
 | Phone | North America |  | Official Website
Product Name | Product Category | Region | Country | Sales channel | Sales ($)
iphone 15 pro | Phone | North America | USA | Official website | 55000
iphone 15 pro max | Phone | Europe | England | Retail | 25000
iphone 15 | Phone | Europe | Germany | Amazon | 75000
iphone 15 plus | Phone | Asia | Japan | Retail | 40000
iphone 14 pro | Phone | North America | USA | Retail | 25000
iphone 14 pro max | Phone | Europe | France | Official website | 20000
iphone 14 | Phone | Asia | Japan | Retail | 15000
iphone 14 plus | Phone | Asia | China | Official website | 5000
iphone SE | Phone | North America | Mexico | Official website | 2500
ipad pro | Tablet | Asia | China | Retail | 7500
ipad air | Tablet | Asia | India | Official website | 10000
ipad mini | Tablet | North America | USA | Retail | 12500
watch 9 | Watch | Europe | Germany | Official website | 50000
ultra 2 | Watch | Asia | India | Retail | 12500
watch SE | Watch | Europe | England | Retail | 50000
Airpods pro | Earphone | North America | Canada | Amazon | 75000
Airpods max | Earphone | North America | USA | Official website | 20000
Spreadsheet: 773667d1647986396-check-if-allowance-is-made-as-per-the-given-matrix-book2-31-
Sheet: Scope_Matrix

Location | Platform | Tactiles | Canopies | Demolish | Bus stop
Location A | 0 | Y | 0 | Y | 0
Location B | Y | Y | 0 | Y | 0
Location C | 0 | 0 | 0 | Y | Y
 | PLA | TAC | CAN | DEMO | BUS_STOP
A | 0 | Y | Y | Y | 0
 | NOT MATCH
Spreadsheet: 795513d1662731384-formula-required-to-calculate-time-difference-between-total-hours-and-hours-worked-time-difference-between-total-hours-and-hours-worked-hd
Sheet: Sheet1

Period | Total Hours | Worked Hours | Difference Formula Required in hh:[NAME]
2022-01-01 00:00:00 |  | 1 day, 21:18:00
2022-02-01 00:00:00 |  | 4 days, 2:22:00
2022-03-01 00:00:00 |  | 7 days, 2:03:00
2022-04-01 00:00:00 |  | 6 days, 23:42:00
2022-05-01 00:00:00 |  | 7 days, 9:02:00
2022-06-01 00:00:00 |  | 8 days, 3:24:00
2022-07-01 00:00:00 |  | 7 days, 4:52:00
2022-08-01 00:00:00 |  | 8 days, 15:16:00
Total
Spreadsheet: 483525d1475696893-carton-of-250-help-copamzorder
Sheet: ENTER LINE #

ASIN: |  |  |  |  | ASIN: |  |  |  | 1 | ENTER LINE NUMBER IN HERE
PO: |  |  |  |  | PO:
Carton # | ____________ | of |  |  | Carton # | ____________ | of
MASTER | QTY |  |  |  | MASTER | QTY
ASIN: |  |  |  |  | ASIN:
PO: |  |  |  |  | PO:
Carton # | ____________ | of |  |  | Carton # | ____________ | of
MASTER | QTY |  |  |  | MASTER | QTY
Spreadsheet: 813972d1674081319-using-and-condition-in-sumproduct-and-subtotal-formula-excel-question_1
Sheet: Data

First Name | Notes | Gender | Hobby | Country | City | Sport | Date | State | $$ | Last Name | Age | Title | Year | Quarter | Ver
[NAME] | abc | Male | TV | USA | Jessup | Tennis | AUG 2023 | MD | 50 | Kenny | 28 | Accountant | 2023 | Q3-23 | A
[NAME] | def | Male | Travel | USA | Fairfax | Baseball | AUG 2023 | VA | 75 | Riley | 32 | Manager | 2023 | Q3-23 | B
[NAME] | ghi | Male | Reading | USA | Brunswick | Baseball | MAY 2023 | NJ | 25 | [NAME] | 36 | Manager | 2023 | Q2-2023 | C
[NAME] | abc | Female | TV | USA | Queens | Basketball | JAN 2023 | NY | 25 | [NAME] | 31 | Sales | 2023 | Q1-2023 | A
[NAME] | def | Female | TV | USA | Philadelphia | Hockey | NOV 2023 | PA | 50 | [NAME] | 20 | Banker | 2023 | Q4-2023 | A
[NAME] | ghi | Male | Hiking | USA | San Jose | Football | MAR 2023 | CA | 100 | [NAME] | 42 | Sales | 2023 | Q1-2023 | B
Mark | xyz | Male | Travel | USA | Seattle | Hockey | NOV 2023 | WA | 10 | [NAME] | 45 | Developer | 2023 | Q4-2023 | B
[NAME] | lmn | Male | Swimming | USA | Laurel | Basketball | JAN 2023 | MD | 200 | Smith | 46 | Banker | 2023 | Q1-2023 | A
[NAME] | opq | Male | Tennis | USA | Redmond | Football | MAY 2023 | WA | 50 | Tintle | 55 | Banker | 2023 | Q2-2023 | C
[NAME] | rst | Male | Tennis | USA | San Mateo | Football | MAR 2023 | CA | 25 | [NAME] | 23 | Developer | 2023 | Q1-2023 | A
[NAME] | sss | Female | Tennis | USA | Hoboken | Basketball | JAN 2023 | NJ | 50 | [NAME] | 30 | Developer | 2023 | Q1-2023 | B
Spreadsheet: 100900d1299106428-excel-2007-macro-or-statement-help-martinpompey-pull-serial-numbers
Sheet: Sheet1

Name | [NAME] | [NAME] | Serials
name | email | 3
name | email | 1
name | email | 7
name | email | 1
name | email | 7
name | email | 2
name | email | 10
name | email | 10
name | email | 10
name | email | 5
name | email | 6
name | email | 9
name | email | 7
name | email | 8
Spreadsheet: 33998d1231020257-easily-adding-multiple-addresses-into-invoices-auto-populated-invoice-creation
Sheet: Addresses

Name | [NAME] | Balance | Populate invoice
[NAME] | [EMAIL] | -1135.2
[NAME] | [EMAIL] | -1857.99
[NAME] | [EMAIL] | -1142.13
[NAME] | [EMAIL] | -1335.05
[NAME] | [EMAIL] | -1567.79
[NAME] | [EMAIL] | -1635.96
[NAME] | [EMAIL] | -1501.04
[NAME] | [EMAIL] | -1037.29 | x
Spreadsheet: 713453d1610724558-return-headers-from-matches-in-a-list-menu-items-and-inventory-gk-friday-
Sheet: CK Inv List

Menu Items | CK Products
American Breakfast | Caesar Dressing
American Breakfast Toastie | Cheese Sauce
Ham & Cheese Toastie | Chili Sauce
Ham Cheese Panini | Choron Mayo
Pancakes | [NAME]
Yogurt & berries | [NAME] Dressing
Chicken & Bacon | [NAME]
Ham Cheese Mayo | Lemon Sour Cream
[NAME] | [NAME]
Vegan Hummus & Beedroot | Mayonnaise
Copenhagen Hotdog | [NAME]
Chili Cheese Dog | [NAME]
Roast Beef & Avocado | Chocolate Sauce
[NAME] | Caramel Sauce
Vegan [NAME] | Falafel Balls
Submarine Supreme | Sliced Ham
Chili Cheese Steak | Roast Beef
American Moby | Vegan Pumpkin Hummus
Lucky 13 Burger | MX Spice (Mixed)
The Black Pearl | SW Spice (Shawarma)
Vegan Mexican Burger | Pickled Beetroot
Premium Cheese Fries | Pickled Cucumber
[NAME] | Whole Pickled Jalapeño
[NAME] | Sun Dried Tomato
[NAME] | Roasted Nuts
Falafel Balls | Peanuts
French Fries | Emmentaler Cheese
Fries n Crispy | Mozzarella Cheese
Onion Rings | Cheddar Cheese
[NAME] | Yoghurt
Caesar Wrap | [NAME]
[NAME] | Muffin [NAME]
[NAME] | Pancakes
Falafel Wrap | [NAME]
[NAME]
Beef mexi wrap
Caesar Salad
Falafel Salad
Smoked Salmon Salad
Tomato Salad
[NAME]
[NAME]
[NAME]
Pancake Dessert
Spreadsheet: darrell_schoolcraft__7780__Southpoint Gas Model
Sheet: Sheet1

Southpoint |  |  | Transwestern's 24 hr Gas Control [PHONE]
 |  |  | Gas Nomination for 6th = 50,000
 |  |  | Unit 1 | Unit 2 | Steam TurB | Total MW | HR | Total Gas Usage
he 6 | 07:00:00 |  | 152 | 154 | 182 |  | 6.5
he 7 | 08:00:00 |  | 152 | 154 | 182 |  | 6.5
he8 | 09:00:00 |  | 152 | 154 | 182 |  | 6.5
he9 | 10:00:00 |  | 152 | 154 | 182 |  | 6.5
he10 | 11:00:00 |  | 152 | 154 | 182 |  | 6.5
he11 | 12:00:00 |  | 152 | 154 | 182 |  | 6.5
he12 | 13:00:00 |  | 152 | 154 | 182 |  | 6.5
[NAME] | 14:00:00 |  | 152 | 154 | 182 |  | 6.5
he14 | 15:00:00 |  | 152 | 154 | 182 |  | 6.5
he15 | 16:00:00 |  | 152 | 154 | 182 |  | 6.5
he16 | 17:00:00 |  | 152 | 154 | 182 |  | 6.5
he17 | 18:00:00 |  | 152 | 154 | 182 |  | 6.5
he18 | 19:00:00 |  | 152 | 154 | 182 |  | 6.5
he19 | 20:00:00 |  | 152 | 154 | 182 |  | 6.5
he20 | 21:00:00 |  | 152 | 154 | 182 |  | 6.5
he21 | 22:00:00 |  | 152 | 154 | 182 |  | 6.5
he21 | 23:00:00 |  | 152 | 154 | 182 |  | 6.5
he22 | 00:00:00 |  | 152 | 154 | 182 |  | 6.5
he23 | 01:00:00 |  | 152 | 154 | 182 |  | 6.5
he24 | 02:00:00 |  | 152 | 154 | 182 |  | 6.5
he1 | 03:00:00 |  | 152 | 154 | 182 |  | 6.5
he2 | 04:00:00 |  | 152 | 154 | 182 |  | 6.5
he3 | 05:00:00 |  | 152 | 154 | 182 |  | 6.5
he4 | 06:00:00 |  | 152 | 154 | 182 |  | 6.5
[NAME] | 07:00:00 |  | 152 | 154 | 182 |  | 6.5
Spreadsheet: 702819d1604561591-to-bring-row-cell-data-in-column-data-bill-2-
Sheet: Bil

 | ||भवानी
 |  |  |  |  | DR.PRAVINA INAMDAR
 |  |  |  |  | 602-B KAVERI MG ROAD
 |  |  |  |  | GOREGAON WEST
 |  |  |  |  | MUMBAI 400104
 |  |  |  |  | MOB:877586339
 | Order No |  | BH015
 | Name
 | Sr No | Product ID | Product No | Quantity | Unit Price [NAME] | Total
 | 1
 | 2
 | 3
 | 4
 | 5
 | 6
 | 7
 | 8
 | 9
 |  |  | Total
 |  |  | Special Discount 5%
 |  |  | Net Bill
 | RS. FIVE HUNDRED FORTY ONE ONLY
 | PAYMENT
 | NETBANKING: ABHYUDAYA COOP BANK SHASTRI NAGAR GOREGAON MUMBA
 | ACCOUNT NO:105011100005713
 | 8779865339
Spreadsheet: 778873d1651408821-formula-to-include-public-holidays-calendar
Sheet: Sheet1

 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Public Holidays | Pub Holiday Description
 |  | 2022-05-01 00:00:00 |  |  |  |  |  |  |  |  |  |  |  | 2022-01-01 00:00:00 | 2022-01-01 00:00:00 | New Year's Day
 |  | Monday | Tuesday | Wednesday | Thursday | Friday | Saturday | Sunday |  |  |  |  |  |  | 2022-03-21 00:00:00 | Human Rights Day
 |  |  | 2022-04-26 00:00:00 | 2022-04-27 00:00:00 | 2022-04-28 00:00:00 | 2022-04-29 00:00:00 | 2022-04-30 00:00:00 | 2022-05-01 00:00:00 |  |  |  |  |  |  | 2022-04-15 00:00:00 | Good Friday
 |  | 2022-05-02 00:00:00 | 2022-05-03 00:00:00 | 2022-05-04 00:00:00 | 2022-05-05 00:00:00 | 2022-05-06 00:00:00 | 2022-05-07 00:00:00 | 2022-05-08 00:00:00 |  |  |  |  |  |  | 2022-04-17 00:00:00 | Easter Sunday
 |  | 2022-05-09 00:00:00 | 2022-05-10 00:00:00 | 2022-05-11 00:00:00 | 2022-05-12 00:00:00 | 2022-05-13 00:00:00 | 2022-05-14 00:00:00 | 2022-05-15 00:00:00 |  |  |  |  |  |  | 2022-04-18 00:00:00 | Family Day
 |  | 2022-05-16 00:00:00 | 2022-05-17 00:00:00 | 2022-05-18 00:00:00 | 2022-05-19 00:00:00 | 2022-05-20 00:00:00 | 2022-05-21 00:00:00 | 2022-05-22 00:00:00 |  |  |  |  |  |  | 2022-04-27 00:00:00 | Freedom Day
 |  | 2022-05-23 00:00:00 | 2022-05-24 00:00:00 | 2022-05-25 00:00:00 | 2022-05-26 00:00:00 | 2022-05-27 00:00:00 | 2022-05-28 00:00:00 | 2022-05-29 00:00:00 |  |  |  |  |  |  | 2022-05-02 00:00:00 | Workers' Day
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2022-06-16 00:00:00 | Youth Day
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2022-07-18 00:00:00 | [NAME]
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2022-08-09 00:00:00 | National Women's Day
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2022-09-24 00:00:00 | Heritage Day
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2022-12-16 00:00:00 | Day of Reconciliation
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2022-12-25 00:00:00 | Christmas Day
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2022-12-26 00:00:00 | Day of Goodwill
Spreadsheet: 869905d1716456863-formula-to-pick-highest-value-form-multiple-columns-exampledata-1-aligw
Sheet: Sheet1

 | Name | Residential | Home | Nursing | Day | Domestic | Category
 | [NAME] | 150
 | [NAME] |  |  |  | 75 | 100
 | [NAME] |  |  | 100 | 25
 | Geoff Green |  | 55
 | [NAME] | 89
 | [NAME] |  |  | 100 |  | 25
Spreadsheet: darrell_schoolcraft__7708__IPnet-addresses-3-1-02
Sheet: Sheet3

 | IP Net - Enron WAN Access Cost
 | 2002-03-01 00:00:00
 | Status | Name |  | IPNet Bandwidth | Base $$ | Allocation | Adjusted Monthly plus Tax | Install $ | New IP-Dterm |  | Total Cost first Month Plus Tax
1 | New Request | [NAME], [NAME] | idsl | 144k | 96.39 | 32.3 |  | 299 | na
2 | New Request | [NAME] | adsl | 128k | 88 | 32.3 |  | 299 | 270
3 | New Request | [NAME] | adsl | 128k | 88 | 32.3 |  | 299 | 270
4 | New Request | [NAME] | adsl | 128k | 88 | 32.3 |  | 299 | 270
5 | New Request | [NAME] | idsl | 144k | 96.39 | 32.3 |  | 299 | 270
6 | New Request | (Grace) [NAME] | idsl | 144k | 96.39 | 32.3 |  | 299 | 270
7 | New Request | [NAME] | idsl | 144k | 96.39 | 32.3 |  | 299 | 270
8 | New Request | [NAME] | idsl | 144k | 96.39 | 32.3 |  | 299 | 270
9 | New Request | Rodriguez, Ruben | idsl | 144k | 96.39 | 32.3 |  | 299 | 270
10 | New Request | [NAME] | idsl | 144k | 96.39 | 32.3 |  | 299 | 270
11 | New Request | [NAME] January | idsl | 144k | 96.39 | 32.3 |  | 299 | 270
12 | New Request | [NAME] | idsl | 144k | 96.39 | 32.3 |  | 299 | 270