tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 887656d1737949422-index-sumproduct-spill-issue-afl-supercoach-2025-test
Sheet: PTA

PLAYER | TOT | AVG |  |  |  | 0 | 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
 |  | CBA | CBA 1H | CBA2H | CBA L5
[NAME] | 356 |  |  |  |  |  |  |  |  |  |  | 52 | 92 | 86 |  |  | 77 |  |  |  | 70 | 80 | 77 | 93 | 90 | 83 | 73 | 78 | 82 | 80 | 87 | 84 | 76
[NAME] | 169 |  |  |  |  |  | 79 | 79 | 87 | 88 | 91 | 48 |  |  |  |  |  | 76 |  | 78
Zak Butters | 457 |  |  |  |  |  | 61 | 79 | 73 | 58 | 68 | 64 | 81 | 90 | 88 | 81 | 62 | 79 |  | 61 | 76 | 95 | 31 | 50 | 81 | 25 | 67 | 61 | 77 | 48 | 29 | 64 | 60
[NAME] | 53 |  |  |  |  |  |  |  |  |  |  |  |  |  | 85 | 74 |  |  |  |  |  |  |  |  |  |  |  |  |  | 20
[NAME] | 375 |  |  |  |  |  | 61 | 70 | 63 | 77 | 73 | 70 | 58 | 48 |  |  | 27 |  |  | 61 | 49 | 70 | 88 | 75 | 58 | 58 | 57 | 50 | 41 | 52 | 65 | 76 | 76
[NAME] | 377 |  |  |  |  |  | 46 | 64 | 50 |  | 45 | 45 | 46 | 57 | 64 | 26 | 65 | 55 |  | 22 | 46 | 70 | 88 | 82 | 61 | 71 | 70 | 44 | 55 | 72 | 58 | 48 | 48
[NAME] | 387 |  |  |  |  |  | 21 | 67 | 87 | 77 | 59 | 64 | 58 | 52 | 52 | 59 | 42 | 72 |  | 39 | 41 | 5 | 0 | 43 | 52 | 75 | 73 | 89 | 59 | 76 | 74 | 44 | 60
[NAME] | 342 |  |  |  |  |  | 71 |  |  | 65 | 55 | 42 | 58 | 43 | 55 | 63 | 69 | 76 |  | 83 | 51 | 50 | 50 | 36 | 42 | 63 | 30 | 33 | 45 | 40 | 65 | 64 | 56
Jackson Mead | 125 |  |  |  |  |  | 36 | 21 | 27 | 23 | 0 | 15 | 0 | 10 | 42 | 33 | 35 | 17 |  | 33 | 19 | 10 | 38 | 14 | 10 | 4 | 3 | 22 | 23 | 12 | 10 | 4 | 0
[NAME] | 58 |  |  |  |  |  | 21 | 21 | 13 | 12 |  |  |  |  | 15 | 11 | 23 | 14 |  |  | 24 | 20 | 23 | 4
[NAME] | 45 |  |  |  |  |  | 0 | 0 | 0 | 0 | 9 |  | 8 | 10 | 0 | 15 |  | 7 |  |  |  |  |  | 4 | 6 | 17 | 27 | 22 | 18 |  | 13 |  | 24
[NAME] | 5 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 17 | 5 | 0 | 0 | 0 | 0
[NAME] | 11 |  |  |  |  |  | 4 | 0 | 0 | 0 |  |  | 0 | 0 | 0 | 26 | 0 | 3 |  | 0 |  | 0 | 4 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0
[NAME] | 10 |  |  |  |  |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 0 |  | 0 | 19 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
[NAME] | 5 |  |  |  |  |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |  | 6 | 0 |  |  |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0
[NAME] | 1 |  |  |  |  |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 |  | 0 | 0 | 0 | 0 | 0 |  |  |  | 0 |  |  |  | 0
Total Team CBAs |  |  |  |  |  |  | 28 | 33 | 30 | 26 | 22 | 33 | 26 | 21 | 33 | 27 | 26 | 29 |  | 18 | 37 | 20 | 26 | 28 | 31 | 24 | 30 | 18 | 22 | 25 | 31 | 25 | 25
Spreadsheet: 879408d1726895285-how-to-vlook-up-one-cell-from-a-sheet-to-show-the-whole-row-on-another-sheet-need-help-version-1
Sheet: FINAL Attendance

 |  |  |  |  |  |  |  |  |  |  |  |  | 2024-09-11 00:00:00 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | OVERTIME |  |  | OVERTIME |  |  | OVERTIME |  |  | OVERTIME |  |  | TOTAL OVERTIME | TOTAL HOURS | DAYS OF WORK
Biometrics | FIRST NAME | MIDDLE NAME | LAST NAME | FULL NAME | TESTT | TEST | TEST | For Test | For Test | For Test | For Test | For Test | Time In | Time Out | Hours of work per day | Time In | Time Out | Hours of work per day | Time In | Time Out | Hours of work per day | Time In | Time Out | Hours of work per day | Time In | Time Out | Hours of work per day | Time In | Time Out | Hours of work per day | Time In | Time Out | Hours of work per day | Time In | Time Out | Hours of work per day | Time In | Time Out | Hours of work per day | Time In | Time Out | Hours of work per day | Time In | Time Out | Hours of work per day | Time In | Time Out | Hours of work per day | Time In | Time Out | Hours of work per day | Time In | Time Out | Hours of work per day | Time In | Time Out | Hours of work per day | Time In | Time Out | Hours of work per day | Time In | Time Out | Hours of work per day | Time In | Time Out | Hours of work per day | Time In | Time Out | Hours of work per day
 | Aldrin | [NAME] | Alipis |  | Test | MAIN | Delivery |  |  |  |  |  | 07:00:00
 | [NAME] | Dayday | Aniel |  | Test | MAIN | Delivery |  |  |  |  |  | 07:11:00
 | Jesmer | [NAME] | Arancana |  | Test | MAIN | Delivery |  |  |  |  |  | 07:22:00
 | Angelita | Morales | Bago |  | Test | MAIN | Delivery |  |  |  |  |  | 06:22:00
 | [NAME] | Mahinay | [NAME] |  | Test | MAIN | Delivery |  |  |  |  |  | 07:11:00
 | [NAME] | Dagoyo | Banlas |  | Test | MAIN | Delivery |  |  |  |  |  | 07:22:00
 | [NAME] | Panilaga | [NAME] |  | Test | MAIN | Delivery |  |  |  |  |  | 06:22:00
 | Flordemie | Jamero | Borromeo | [NAME] | Test | MAIN | Delivery |  |  |  |  |  | 07:11:00
 | [NAME] | [NAME] | Cabañez | [NAME] | Test | MAIN | Delivery |  |  |  |  |  | 07:22:00
 | Jonny | Joring | Cabil |  | Test | MAIN | Delivery |  |  |  |  |  | 07:11:00
 | [NAME] | Caipo | Cainoy |  | Test | MAIN | Delivery |  |  |  |  |  | 07:22:00
 | [NAME] | Onyot | Cambarihan |  | Test | MAIN | Delivery |  |  |  |  |  | 06:22:00
 | [NAME] | Onyot | Cañedo |  | Test | MAIN | Delivery |  |  |  |  |  | 07:11:00
 | [NAME] | [NAME] | Canete |  | Test | MAIN | Delivery |  |  |  |  |  | 07:22:00
 | [NAME] | Molina | [NAME] |  | Test | MAIN | Delivery |  |  |  |  |  | 07:11:00
 | Peizer | Panuncialman | Dalida |  | Test | MAIN | Delivery |  |  |  |  |  | 07:11:00
 | Maricyl | Paculba | Datu |  | Test | MAIN | Delivery |  |  |  |  |  | 07:22:00
 | Rene | Imbor | Dumaboc |  | Test | MAIN | Delivery |  |  |  |  |  | 06:22:00
 | Vincent | Endrina | Flores |  | Test | MAIN | Delivery
Spreadsheet: chris_germany__2112__JanCohCHOICE-ENA
Sheet: Jan 1

 | COH CHOICE NOMINATIONS TO ACTUALS
 | FOR GAS DAY |  |  |  |  |  |  |  | 2001-01-01 00:00:00
 |  | MA | NOM ID |  | FT |  | AT |  | FORECASTED |  | ACTUALS |  | CONTRACT # | % Storage | Over | Sto | [NAME]
 |  |  |  |  |  |  |  |  |  |  | [NAME] |  |  |  |  |  |  |  | FT DROP |  | AT DROP
 | COH 3-15 | 22-15 | 3342 |  |  |  |  |  | 1698 |  | Storage/Pool |  | 67694 | 0.5 |  |  |  |  | 17 | 1 | x
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 20 | 2 | x
 | COH 5-2 | 23N-02 | 3343 |  |  |  |  |  | 8052 |  | Storage/Pool |  | 67694 | 0.6 |  |  |  |  | 18 | 3 | x |  |  | 15
 |  |  |  |  |  |  |  |  | 7000 |  | [NAME] |  | 68918 | 0 |  |  |  |  | 19 | 4 | x |  |  | 23
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 22 | 5 | x |  |  | 15
 | COH 5-7 | 23N-07 | 3344 |  |  |  |  |  | 2059 |  | Storage/Pool |  | 67694 | 0.9 |  |  |  |  | 19 | 6 | x |  |  | 22
 |  |  |  |  |  |  |  |  | 2400 |  | [NAME] |  | 68915 | 0 |  |  |  |  | 19 | 7 | x |  |  | 15
 |  |  |  |  |  |  |  |  | 500 |  | [NAME] |  | 69148 | 0 |  |  |  |  | 22 | 8 | x |  |  | 14
 |  |  |  |  |  |  |  |  | 1600 |  | [NAME] |  | 69693 | 0 |  |  |  |  | 21 | 9 | x |  |  | 20
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 24 | 15 | x |  |  | 16
 | COH 7-1 | 23-01 | 3788 |  |  |  |  |  | 13140 |  | Storage/Pool |  | 67694 | 0.75 |  |  |  |  | 21 | 35 | x |  |  | 17
 |  |  |  |  |  |  |  |  | 85 |  | [NAME] |  | 68917 | 0 |  |  |  |  | 19 | 39 | x |  |  | 17
 |  |  |  |  |  |  |  |  | 1000 |  | [NAME] |  | 69149 | 0 |  |  |  |  |  |  |  |  |  | 17
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 22
 | COH 7-3 | 23-03 | 3789 |  |  |  |  |  | 2644 |  | Storage/Pool |  | 67694 | 0.6
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | %
 | COH 7-4 | 23-04 | 3345 |  |  |  |  |  | 2200 |  | Storage/Pool |  | 67694 | 0.5 |  |  |  |  | Storage
 |  |  |  |  |  |  |  |  | 1915 |  | [NAME] |  | 68916 | 0 |  |  |  |  | #67694
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0.4
 | COH 7-5 | 23-05 | 2777 |  |  |  |  |  | 15982 |  | Storage/Pool |  | 67694 | 0.55
 | COH 7-6 | 23-06 | 3346 |  |  |  |  |  | 3354 |  | Storage/Pool |  | 67694 | 0.5
 | COH 7-8 | 23-08 | 3790 |  |  |  |  |  | 5649 |  | Storage/Pool |  | 67694 | 0.3
 | COH 7-9 | 23-09 | 3791 |  |  |  |  |  | 5706 |  | Storage/Pool |  | 67694 | 0.35
 | COH 8-35 | 24-35 | 3348 |  |  |  |  |  | 2735 |  | Storage/Pool |  | 67694 | 0.4
 |  |  |  |  |  |  |  |  | 1000 |  | A06 |  | 69823 | 0
 | COH 8-39 | 24-39 | 3792 |  |  |  |  |  | 56 |  | Storage/Pool |  | 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: 789541d1659170983-table-indexing-with-row-without-hidden-rows-book1
Sheet: Sheet1

# | Column2 | Column3 | Column4 | Column5
1 | HDFHDF | HGHGF | DHG | FGH
2 | HGF | HGF | HGFF | Y
3 | GF | HF | HFG | HGF
4 | F | KJH | JH | FGH
5 | KJ | KJH | JH | HJG
Spreadsheet: 1b10cd8c-58af-4171-9687-2fa6c4807202
Sheet: Sheet1

Table 4--Wheat: Monthly food disappearance estimates (1,000 grain-equivalent bushels), 3/13/2012 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11
Mkt year and month 1/
 |  |  | Wheat ground for flour | + | Food imports 2/ | + | Nonmilled food use 3/ | - | Food exports 2/ | = | Food use 4/
2009/10 | Jun |  | 72104 |  | 2007 |  | 2000 |  | 2511 |  | 73600
 | Jul |  | 74023 |  | 1985 |  | 2000 |  | 2038 |  | 75970
 | Aug |  | 80902 |  | 2163 |  | 2000 |  | 3420 |  | 81646
 | Sep |  | 77793 |  | 1959 |  | 2000 |  | 1926 |  | 79826
 | Oct |  | 78638 |  | 2302 |  | 2000 |  | 2825 |  | 80115
 | Nov |  | 75269 |  | 2187 |  | 2000 |  | 2451 |  | 77005
 | Dec |  | 70651 |  | 2112 |  | 2000 |  | 1592 |  | 73171
 | Jan |  | 72641 |  | 2037 |  | 2000 |  | 1885 |  | 74793
 | Feb |  | 72064 |  | 1847 |  | 2000 |  | 2232 |  | 73680
 | Mar |  | 76457 |  | 2503 |  | 2000 |  | 2932 |  | 78027
 | Apr |  | 73047 |  | 2185 |  | 2000 |  | 2231 |  | 75000
 | May |  | 74687 |  | 2162 |  | 2000 |  | 2763 |  | 76087
2010/11 | Jun |  | 71457 |  | 2131 |  | 2000 |  | 2042 |  | 73546
 | Jul |  | 74629 |  | 2122 |  | 2000 |  | 1483 |  | 77268
 | Aug |  | 81564 |  | 2278 |  | 2000 |  | 1892 |  | 83951
 | Sep |  | 78430 |  | 2259 |  | 2000 |  | 1622 |  | 81066
 | Oct |  | 79447 |  | 2357 |  | 2000 |  | 2133 |  | 81670
 | Nov |  | 76043 |  | 2373 |  | 2000 |  | 1387 |  | 79028
 | Dec |  | 71378 |  | 2474 |  | 2000 |  | 1775 |  | 74076
 | Jan |  | 71676 |  | 2262 |  | 2000 |  | 2110 |  | 73828
 | Feb |  | 71107 |  | 1967 |  | 2000 |  | 2083 |  | 72991
 | Mar |  | 75441 |  | 2657 |  | 2000 |  | 1812 |  | 78286
 | Apr |  | 72123 |  | 2435 |  | 2000 |  | 2518 |  | 74041
 | May |  | 73743 |  | 2377 |  | 2000 |  | 2230 |  | 75890
2011/12 | Jun |  | 70554 |  | 2238 |  | 2000 |  | 1745 |  | 73046
 | Jul |  | 72573 |  | 2096 |  | 2000 |  | 1339 |  | 75330
 | Aug |  | 79317 |  | 2309 |  | 2000 |  | 2410 |  | 81216
 | Sep |  | 76269 |  | 2237 |  | 2000 |  | 1637 |  | 78870
 | Oct |  | 81402 |  | 2250 |  | 2000 |  | 1564 |  | 84088
 | Nov |  | 77915 |  | 2571 |  | 2000 |  | 1704 |  | 80782
 | Dec |  | 73135 |  | 2460 |  | 2000 |  | 1215 |  | 76380
1/ Current year is preliminary. Previous year is preliminary through August of current year, estimated afterwards. 2/ Food imports and exports used to calculate total food use. Includes all categories of wheat flour, semolina, bulgur, and couscous and selected categories of pasta. 3/ Wheat prepared for food use by processes other than milling.
4/ Estimated food use equals wheat ground for flour plus food imports plus nonmilled food use minus food exports. See http://www.ers.usda.gov/Briefing/Wheat/wheatfooduse.htm for more information. Sources: Calculated using data from U.S. Department of Commerce, Bureau of the Census, Flour Milling Products (MQ311A) and Foreign Trade Statistics.
Date run: 3/12/2012
Spreadsheet: 752413d1634745662-filtering-specific-values-in-a-column-based-off-grouped-features-in-other-columns-example
Sheet: Sheet1

Year | Company | Businesses | Products | Total Dollars
2019 | Company #1 | tech | software | 100
2019 | Company #2 | consulting | management | 500
2019 | Company #2 | Banking | IB | 50
2019 | Company #3 | tech | software | 7000
2019 | Company #1 | banking | Lending | 100
2020 | Company #5 | Advertising | commercials | 200
2020 | Company #5 | Advertising | magazines | 250
2020 | Company #1 | Consulting | marketing | 30
2020 | Company #3 | Banking | Mortgages | 500
2020 | Company #1 | Consulting | CPG | 1000
2021 | Company #2 | Tech | development | 50
2021 | Company #2 | Advertising | print | 200
2021 | Company #4 | Consulting | product development | 400
2021 | Company #4 | Advertising | social media | 200
2021 | Compamy #2 | Tech | software | 500
Spreadsheet: 687086d1594949348-problem-when-using-index-with-aggregate-help_v2
Sheet: BIM Short Term Programme

# | Work by | Target End Date | % of Complete
1 | [NAME] | 2020-06-25 00:00:00 | 1
2 | [NAME] | 2020-06-25 00:00:00 | 1
3 | [NAME] | 2020-06-25 00:00:00 | 1
4 | [NAME] | 2020-06-25 00:00:00 | 1
5 | [NAME] | 2020-06-25 00:00:00 | 1
6 | [NAME] | 2020-06-25 00:00:00 | 1
7 | [NAME] | 2020-06-25 00:00:00 | 1
8 | [NAME] | 2020-06-25 00:00:00 | 1
9 | [NAME] | 2020-06-25 00:00:00 | 1
10 | [NAME] | 2020-06-25 00:00:00 | 1
11 | [NAME] | 2020-06-25 00:00:00 | 1
12 | [NAME] | 2020-06-25 00:00:00 | 1
13 | [NAME] | 2020-06-25 00:00:00 | 1
14 | [NAME] | 2020-06-25 00:00:00 | 1
15 | [NAME] | 2020-06-25 00:00:00 | 1
16 | [NAME] | 2020-06-25 00:00:00 | 1
17 | [NAME] | 2020-06-25 00:00:00 | 1
18 | [NAME] | 2020-06-25 00:00:00 | 1
19 | [NAME] | 2020-06-25 00:00:00 | 1
20 | [NAME] | 2020-06-25 00:00:00 | 1
21 | [NAME] | 2020-06-25 00:00:00 | 1
22 | [NAME] | 2020-06-25 00:00:00 | 1
23 | [NAME] | 2020-06-25 00:00:00 | 1
24 | [NAME] | 2020-06-25 00:00:00 | 1
25 | [NAME] | 2020-06-25 00:00:00 | 1
26 | [NAME] | 2020-06-25 00:00:00 | 1
27 | [NAME] | 2020-06-25 00:00:00 | 1
28 | [NAME] | 2020-06-25 00:00:00 | 1
29 | [NAME] | 2020-06-25 00:00:00 | 1
30 | [NAME] | 2020-06-25 00:00:00 | 1
31 | [NAME] | 2020-06-30 00:00:00 | 1
32 | [NAME] | 2020-06-30 00:00:00 | 1
33 | [NAME] | 2020-07-01 00:00:00 | 1
34 | [NAME] | 2020-07-01 00:00:00 | 1
35 | [NAME] | 2020-07-06 00:00:00 | 1
36 | [NAME] | 2020-07-08 00:00:00 | 1
37 | [NAME] | 2020-07-08 00:00:00 | 1
38 | [NAME] | 2020-07-15 00:00:00 | 0.5
39 | [NAME] | 2020-07-13 00:00:00 | 1
40 | [NAME] | 2020-07-13 00:00:00 | 1
41 | [NAME] | 2020-07-25 00:00:00 | 0
42 | [NAME] | 2020-07-22 00:00:00 | 0
43 | [NAME] | 2020-07-17 00:00:00 | 0
44 | [NAME] | 2020-07-23 00:00:00 | 0
45 | [NAME] | 2020-07-26 00:00:00 | 0
46 | [NAME] | 2020-07-17 00:00:00 | 0
47 | [NAME] | 2020-07-17 00:00:00 | 0
48 | [NAME] | 2020-07-16 00:00:00 | 0
49 | [NAME] | 2020-07-19 00:00:00 | 0
50 | [NAME] | 2020-07-20 00:00:00 | 0
51 | [NAME] | 2020-07-20 00:00:00 | 0
52 | [NAME] | 2020-07-20 00:00:00 | 0
53 | [NAME] | 2020-07-20 00:00:00 | 0
54 | [NAME] | 2020-07-20 00:00:00 | 0
55 | [NAME] | 2020-07-21 00:00:00 | 0
56 | [NAME] | 2020-07-21 00:00:00 | 0
57 | [NAME] | 2020-07-21 00:00:00 | 0
58 | [NAME] | 2020-07-21 00:00:00 | 0
59 | [NAME] | 2020-07-22 00:00:00 | 0
60 | [NAME] | 2020-07-27 00:00:00 | 0
[NAME] |  |  |  | Expected Result
 |  |  |  | 38
 |  |  |  | 46
 |  |  |  | 47
 |  |  |  | 49
 |  |  |  | 50
Spreadsheet: 249778d1373622610-check-a-text-string-against-a-predefined-list-and-place-result-in-another-sheet-sample
Sheet: Sheet3

Product Decription | QTY
EEE X02 1234 | 5
EEE X04 1234 | 4
EEE Z04 5555 | 6
EEE Z06 5555 | 1
LPG Z04 7000 | 2
LPG Z06 7000 | 3
EEE X02 1234 | 3
EEE  X02 1234 | 4
EEE Z06 5555 | 6
LPG Z04 7000 | 7
Spreadsheet: 735273d1622806434-lookup-data-based-on-tab-cross-reference-example-4-
Sheet: Data

Select a State |  |  |  |  |  | City | Population
Virginia
Spreadsheet: john_griffith__15572__VolSmile
Sheet: Skew4

 |  | -8 | -6.26 | -5 | -4 | -3 | -2.5 | -2 | -1.5 | -0.5 | 0 | 0.5 | 1 | 1.5 | 2 | 2.5 | 3 | 4 | 5 | 10 | 40
 | 2001-04-01 00:00:00
 | 2001-05-01 00:00:00
 | 2001-06-01 00:00:00 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | User Id
 | 2001-07-01 00:00:00 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Passowrd
 | 2001-08-01 00:00:00 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Commodity Code: | NG
 | 2001-09-01 00:00:00 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Effective Date: | 2001-03-27 00:00:00
 | 2001-10-01 00:00:00
 | 2001-11-01 00:00:00
 | 2001-12-01 00:00:00
 | 2002-01-01 00:00:00
 | 2002-02-01 00:00:00
 | 2002-03-01 00:00:00
 | 2002-04-01 00:00:00
 | 2002-05-01 00:00:00
 | 2002-06-01 00:00:00
 | 2002-07-01 00:00:00
 | 2002-08-01 00:00:00
 | 2002-09-01 00:00:00
 | 2002-10-01 00:00:00
 | 2002-11-01 00:00:00
 | 2002-12-01 00:00:00
 | 2003-01-01 00:00:00
 | 2003-02-01 00:00:00
 | 2003-03-01 00:00:00
 | 2003-04-01 00:00:00
 | 2003-05-01 00:00:00
 | 2003-06-01 00:00:00
 | 2003-07-01 00:00:00
 | 2003-08-01 00:00:00
 | 2003-09-01 00:00:00
 | 2003-10-01 00:00:00
 | 2003-11-01 00:00:00
 | 2003-12-01 00:00:00
 | 2004-01-01 00:00:00
 | 2004-02-01 00:00:00
 | 2004-03-01 00:00:00
 | 2010-12-01 00:00:00
 | 2021-12-01 00:00:00
Spreadsheet: 1deab7c0-8fc5-4952-a431-362547fabbcb
Sheet: Sheet1

IFAA recognised styles (2014) | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11
STYLE | ADULT (17 plus) |  | CUB (Under 13) |  | JUNIOR (13 - 16) |  | VETERAN (55 plus)
 | FEMALE | MALE | FEMALE | MALE | FEMALE | MALE | FEMALE | MALE
BAREBOW-RECURVE | AFBB(R) | AMBB(R) | CFBB(R) | CMBB(R) | [NAME]) | [NAME]) | VFBB(R) | VMBB(R)
BAREBOW-COMPOUND | AFBB(C) | AMBB(C) | CFBB(C) | CMBB(C) | JFBB(C) | JMBB(C) | VFBB(C) | VMBB(C)
FREESTYLE LIMITED-RECURVE | AFFS(R) | AMFS(R) | CFFS(R) | CMFS(R) | JFFS(R) | [NAME]) | VFFS(R) | VMFS(R)
FREESTYLE LIMITED-COMPOUND | AFFS(C) | AMFS(C) | CFFS(C) | CMFS(C) | JFFS(C) | JMFS(C) | VFFS(C) | VMFS(C)
FREESTYLE UNLIMITED | AFFU | AMFU | CFFU | CMFU | JFFU | JMFU | VFFU | VMFU
BOWHUNTER-RECURVE | AFBH(R) | AMBH(R) |  |  | [NAME]) | [NAME]) | VFBH(R) | [NAME])
BOWHUNTER-COMPOUND | AFBH(C) | AMBH(C) |  |  | [NAME]) | [NAME]) | VFBH(C) | VMBH(C)
BOWHUNTER UNLIMITED | AFBU | AMBU |  |  | JFBU | JMBU | VFBU | VMBU
BOWHUNTER LIMITED | AFBL | AMBL |  |  | JFBL | JMBL | VFBL | VMBL
LONGBOW | AFLB | AMLB | CFLB | CMLB | [NAME] | [NAME] | VFLB | VMLB
HISTORICAL BOW | AFHB | AMHB
 | REGISTRATION AND SCORING FORM (2014)
 | Name of Club or Country:
 | Address to which medals must be sent:
 | e-mail address :
Name of archer | Style | Age group | Gender | Round 1 |  | Round 2 |  | Round 3 |  | TOTAL
 |  |  |  | Score | "X" | Score | "X" | Score | "X" | Score | "X"
[NAME] to:  [EMAIL]
Spreadsheet: 782954d1654456258-text-before-and-after-multiple-characters-text-functions
Sheet: Sheet1

 | Incorrect
 | Incorrect | The variances are 1 Team name v a 1 name oponent, or v 2 team names, or even 3 team names
 |  | and vice versa for the  away games.
 | Original String | Substitute and Trim formulas return |  |  | Values Needed
 | Saturday 14 August |  |  |  | Saturday |  | 8/14/2022
 | [NAME] vs. Arsenal |  | V |  | Brentford | v | Arsenal
 | Bournemouth vs. [NAME] |  | V |  | Bournemouth |  | Brighton
 | Chelsea vs. Crystal Palace |  | V |  | Chelsea | v | Crystal Palace
 | [NAME] vs. [NAME] |  | V |  | Everton | v | Southampton
 | Leicester vs. [NAME] |  | V |  | Leicester | v | Wolverhampton
 | Man Utd vs. [NAME] |  | V |  | Man Utd | v | [NAME]
 | Newcastle Utd vs. West Ham Utd |  | V |  | Newcastle Utd | v | West Ham Utd
 | Notts Forest vs. Liverpool |  | V |  | Notts Forest | v | Liverpool
 | [NAME] vs. Man City |  | V |  | Tottenham | v | Man City
 | Fulham vs. [NAME] |  | V |  | Fulham | v | [NAME]
 | Left text formula =LEFT(SUBSTITUTE(C6," ","#",4),FIND("#",SUBSTITUTE(C6," ","#",2),1)-1)
 | Right formula  =TRIM(MID(C6,FIND("#",SUBSTITUTE(C6," ","#",2))+1,255))
 | Original String | Left Substitute and Trim formulas return |  |  | Values Needed
 | Saturday 29 August |  |  |  | Saturday |  | 2022-08-29 00:00:00
 | Arsenal vs. Chelsea |  | V |  | Arsenal | V | Chelsea
 | [NAME] vs. [NAME] |  | V |  | [NAME] | V | Newcastle Utd
 | [NAME] vs. Fulham |  | V |  | Brighton | V | Fulham
 | Crystal Palace vs. [NAME] |  | V |  | Crystal Palace | V | Brentford
 | [NAME] vs. [NAME] |  | V |  | [NAME] | V | Everton
 | Liverpool vs. Bournemouth |  | V |  | Liverpool | V | Bournemouth
 | Man City vs. Notts Forest |  | V |  | Man City | V | Notts Forest
 | [NAME] vs. [NAME] |  | V |  | Southampton | V | Man Utd
 | West Ham Utd vs. Leicester City |  | V |  | West Ham | V | Leicester City
 | [NAME] vs. [NAME] |  | V |  | Wolverhampton | V | Tottenham
 | Left text formula =LEFT(SUBSTITUTE(C6," ","#",4),FIND("#",SUBSTITUTE(C6," ","#",2),1)-1)
 | Right formula  =TRIM(MID(C6,FIND("#",SUBSTITUTE(C6," ","#",2))+1,255))
Spreadsheet: 835005d1688223658-getting-data-from-another-cell-sample_data
Sheet: Sheet1

product | sector_name_Eurostat | value | type |  |  | HS2 | sector name | store | sold
1 | a | 93309.5859375 | store |  |  | 1
1 | a | 2333017 | sold |  |  | 2
2 | b | 5727581 | store |  |  | 3
2 | b | 1362215.75 | sold |  |  | 4
3 | c | 103031.53125 | store |  |  | 5
3 | c | 21325.849609375 | sold
4 | d | 5031.3701171875 | store
3.7 | d | 13443.16015625 | sold
5 | e | 9578.8203125 | store
4.5 | e | 13868.4501953125 | sold
Spreadsheet: 462311d1464004573-selecting-a-specific-answer-then-export-to-a-different-sheet-stacks
Sheet: Office

GRADE | LENGTH |  | WIDTH |  | THICKNESS |  | QTY
LD | 492 | x | 310 | x | 30 | [NAME] | 200
GRADE | LENGTH |  | WIDTH |  | THICKNESS |  | QTY
 |  | x |  | x |  | [NAME] |  | STACKS | SLABS | PIECES | BLOCKS
Spreadsheet: 50aba9f1-efe7-44ab-88ad-aebaf6e97eec
Sheet: New Table 3

Table 3
Rail Deliveries to Port (carloads)1
 | Mississippi |  | Pacific | Atlantic & |  |  | Cross-Border
Week ending | Gulf | Texas Gulf | Northwest | East Gulf | Total | Week ending | Mexico3
11/27/2013p |  |  |  |  |  | 2013-11-23 00:00:00
11/20/2013r |  |  |  |  |  | 2013-11-16 00:00:00
2013 YTDr |  |  |  |  |  | 2013 YTD
2012 YTDr |  |  |  |  |  | 2012 YTD
2013 YTD as % of 2012 YTD |  |  |  |  |  | % change YTD
Last 4 weeks as % of 20122 |  |  |  |  |  | Last 4wks % 2012
Last 4 weeks as % of 4-year avg.2 |  |  |  |  |  | Last 4wks % 4 yr
Total 2012 |  |  |  |  |  | Total 2012 | 92008
Total 2011 |  |  |  |  |  | Total 2011 | 97118
1 Data is incomplete as it is voluntarily provided
2 Compared with same 4-weeks in 2012 and prior 4-year average.
3 Cross- border weekly data is aproximately 15 percent below the Association of American Railroads reported weekly carloads received by Mexican railroads
to reflect switching between KCSM and FerroMex.
YTD = year-to-date; p = preliminary data; r = revised data; n/a = not available
Source:  Transportation & Marketing Programs/AMS/USDA