tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 90028d1289804995-macro-code-to-get-all-possible-combinations-combinations-and-permutations
Sheet: Sheet1

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Spreadsheet: 5480ca89-01bd-4014-8690-aad783770339
Sheet: Sheet1

PROG ID | ATHLETE ID | ATHLETE FIRST | ATHLETE LAST | NATIONALITY | START NUMBER | SWIM | T1 | BIKE | T2 | RUN | POSITION | TOTAL TIME
7457 | 57735 | [NAME] | Nakazawa | JPN | 0 | 00:00:00 | 00:00:00 | 00:34:04 | 00:01:35 | 00:26:59 | 1 | 01:02:38
7457 | 57736 | [NAME] | Yanagawa | JPN | 0 | 00:00:00 | 00:00:00 | 00:36:55 | 00:01:53 | 00:24:00 | 2 | 01:02:47
7457 | 57737 | Keiji | Nagai     B1 | JPN | 0 | 00:00:00 | 00:00:00 | 00:37:53 | 00:01:53 | 00:24:30 | 3 | 01:04:17
Spreadsheet: 740421d1626338373-multiple-dates-entries-in-a-gantt-chart-in-a-single-row-scheduler-3a-with-new-tab-
Sheet: Bed & Visit Tracker

 |  |  |  |  |  | 1
 |  |  | Select Month
Type |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Grand total
Bed Availability
Clinic Visits
Spreadsheet: 842441d1694520410-need-multiple-cells-from-column-b-from-the-name-joost-in-column-c-help-me
Sheet: Blad1

Clientcode | [NAME] | Accountmanager
05398 | Giraffe | [NAME] |  | [NAME] | Giraffe |  | [NAME] |  |  |  | Giraffe
10022 | Olifant | [NAME] |  |  | Paard | Paard |  |  |  |  | Paard
11201 | Paard | [NAME] |  |  | Konijn | Konijn |  |  |  |  | Konijn
1255 | Ezel | [NAME] |  |  | Hond | Hond |  |  |  |  | Hond
1812 | Konijn | [NAME] |  |  | Jaguar | Jaguar |  |  |  |  | Jaguar
20655 | Kat | [NAME] |  |  | Vis | Vis |  |  |  |  | Vis
2423 | Hond | [NAME] |  |  | Vlinder | Vlinder |  |  |  |  | Vlinder
2467 | Hamster | [NAME] |  |  | Spin | Spin |  |  |  |  | Spin
3212 | Rat | [NAME] |  |  | [NAME] | [NAME] |  |  |  |  | [NAME]
3212 | Slang | [NAME] |  |  | Wesp | Wesp |  |  |  |  | Wesp
00001 | Tijger | [NAME]
7255 | Aap | [NAME] |  | [NAME] |  |  |  |  |  | [NAME] | Olifant
11201 | Jaguar | [NAME] |  |  |  |  |  |  |  |  | Ezel
3261 | Leeuw | [NAME] |  |  |  |  |  |  |  |  | Tijger
00001 | [NAME] | [NAME] |  |  |  |  |  |  |  |  | Aap
00154 | Otter | [NAME] |  |  |  |  |  |  |  |  | Otter
6849 | Neushoorn | [NAME] |  |  |  |  |  |  |  |  | Geit
8974 | Geit | [NAME] |  |  |  |  |  |  |  |  | Beer
10022 | Beer | [NAME] |  |  |  |  |  |  |  |  | Walrus
10759 | Vis | [NAME] |  |  |  |  |  |  |  |  | Zeehond
11201 | Visvoer | [NAME] |  |  |  |  |  |  |  |  | Krab
13402 | Vlinder | [NAME]
15647 | Walrus | [NAME] |  |  |  |  |  |  |  | [NAME] | Kat
17877 | Zeehond | [NAME] |  | [NAME] |  |  |  |  |  |  | Visvoer
1828 | Krab | [NAME] |  |  |  |  |  |  |  |  | Vos
21679 | Spin | [NAME] |  |  |  |  |  |  |  |  | [NAME]
22032 | [NAME] | [NAME] |  |  |  |  |  |  |  |  | Ekster
2423 | Wesp | [NAME] |  |  |  |  |  |  |  |  | Meeuw
2545 | Vos | [NAME]
3212 | [NAME] | [NAME] |  |  |  |  |  |  |  | [NAME] | Hamster
5211 | Ekster | [NAME] |  |  |  |  |  |  |  |  | Rat
5364 | Meeuw | [NAME] |  |  |  |  |  |  |  |  | Slang
 |  |  |  |  |  |  |  |  |  |  | Leeuw
 |  |  |  |  |  |  |  |  |  |  | [NAME]
 |  |  |  |  |  |  |  |  |  |  | Neushoorn
Spreadsheet: 75710d1276262323-excel-2007-plotting-line-graph-with-values-prices
Sheet: Sheet1

Date | B5 ULSD Clear | Opis Low ULSD Clear | B11 ULSD
2010-05-01 00:00:00 | 2.4735 | 2.4 | 2.528
2010-05-02 00:00:00 | 2.4735 | 2.4 | 2.528
2010-05-03 00:00:00 | 2.4735 | 2.4 | 2.528
2010-05-04 00:00:00 | 2.496 | 2.4238 | 2.549
2010-05-05 00:00:00 | 2.395 | 2.3496 | 2.47
2010-05-06 00:00:00 | 2.3455 | 2.2782 | 2.404
2010-05-07 00:00:00 | 2.272 | 2.1954 | 2.335
2010-05-08 00:00:00 | 2.2525 | 2.1871 | 2.3165
2010-05-09 00:00:00 | 2.2525 | 2.1871 | 2.3165
2010-05-10 00:00:00 | 2.2525 | 2.1871 | 2.3165
2010-05-11 00:00:00 | 2.293 | 2.2255 | 2.355
2010-05-12 00:00:00 | 2.306 | 2.2277 | 2.367
2010-05-13 00:00:00 | 2.328 | 2.261 | 2.387
2010-05-14 00:00:00 | 2.2955 | 2.2251 | 2.357
2010-05-15 00:00:00 | 2.232 | 2.155 | 2.297
2010-05-16 00:00:00 | 2.232 | 2.155 | 2.297
2010-05-17 00:00:00 | 2.232 | 2.155 | 2.297
2010-05-18 00:00:00 | 2.1695 | 2.08 | 2.2415
2010-05-19 00:00:00 | 2.15 | 2.0457 | 2.221
2010-05-20 00:00:00 | 2.1325 | 2.0575 | 2.21
2010-05-21 00:00:00 | 2.0875 | 2.0051 | 2.1625
2010-05-22 00:00:00 | 2.0795 | 1.991 | 2.155
2010-05-23 00:00:00 | 2.0795 | 1.991 | 2.155
2010-05-24 00:00:00 | 2.0795 | 1.991 | 2.155
2010-05-25 00:00:00 | 2.0785 | 2.0038 | 2.1535
2010-05-26 00:00:00 | 2.062 | 1.973 | 2.138
2010-05-27 00:00:00 | 2.098 | 2.0137 | 2.173
2010-05-28 00:00:00 | 2.17 | 2.0784 | 2.241
2010-05-29 00:00:00 | 2.166 | 2.075 | 2.235
2010-05-30 00:00:00 | 2.166 | 2.075 | 2.235
2010-05-31 00:00:00 | 2.166 | 2.075 | 2.235
2010-06-01 00:00:00 | 2.166 | 2.075 | 2.235
2010-06-02 00:00:00 | 2.1335 | 2.05 | 2.2055
2010-06-03 00:00:00 | 2.1695 | 2.1695 | 2.24
2010-06-04 00:00:00 | 2.1695 | 2.0918 | 2.24
2010-06-05 00:00:00 | 2.124 | 2.124 | 2.199
2010-06-06 00:00:00 | 2.124 | 2.124 | 2.199
2010-06-07 00:00:00 | 2.124 | 2.124 | 2.199
2010-06-08 00:00:00 | 2.13 | 2.13 | 2.203
2010-06-09 00:00:00 | 2.1275 | 2.042 | 2.2
Spreadsheet: 125878d1319318021-need-macro-help-adding-new-row-s-add_rows_problem
Sheet: Data

Number of Rows to Add |  |  | 3
 |  | Quantity Sold by Month |  |  |  |  |  |  |  |  |  |  |  |  | Sales By Month-Qtr-Year
State | Product | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec |  | Jan | Feb | Mar | Q1 | Apr | May | Jun | Q2 | Jul | Aug | Sep | Q3 | Oct | Nov | Dec | Q4 | Total FY
NY | Shirts | 3 | 5 | 2 | 6 | 3 | 1 | 10 | 3 | 6 | 5 | 0 | 2
CA | Pants | 2 | 5 | 0 | 3 | 0 | 1 | 1 | 3 | 1 | 3 | 0 | 0
CA | Shoes | 2 | 2 | 1 | 0 | 4 | 6 | 1 | 1 | 0 | 0 | 1 | 4
CA | Shirts | 3 | 3 | 6 | 7 | 5 | 3 | 6 | 8 | 1 | 1 | 1 | 4
NY | Socks | 14 | 8 | 3 | 22 | 5 | 6 | 2 | 6 | 16 | 0 | 9 | 18
NY | Shirts | 4 | 6 | 5 | 8 | 1 | 3 | 5 | 6 | 2 | 2 | 0 | 1
Spreadsheet: 60304d1260875030-returns-number-of-blank-cells-between-values-sample
Sheet: Sheet1

days since last sale. | X | X | X | X
Product Code | 1001 | 1002 | 1003 | 1004
2009-12-14 00:00:00
2009-12-11 00:00:00 |  |  |  | 11
2009-12-10 00:00:00 |  | non delivery
2009-12-09 00:00:00 |  |  | 22
2009-12-08 00:00:00 | 3
2009-12-07 00:00:00
2009-12-04 00:00:00 |  |  | 16
2009-12-03 00:00:00 | out of stock
2009-12-02 00:00:00
2009-12-01 00:00:00 |  | 45
2009-11-30 00:00:00
2009-11-27 00:00:00 | 1
2009-11-26 00:00:00
Spreadsheet: 95234d1294864789-vlookup-or-pivot-to-get-unique-listing-copy-of-sample
Sheet: After

 |  |  | Days Used
 |  | Name | 2008-01-01 00:00:00 | 2008-02-01 00:00:00 | 2008-03-01 00:00:00 | 2008-04-01 00:00:00 | 2008-05-01 00:00:00 | 2008-06-01 00:00:00 | 2008-07-01 00:00:00 | 2008-08-01 00:00:00 | 2008-09-01 00:00:00 | 2008-10-01 00:00:00 | 2008-11-01 00:00:00 | 2008-12-01 00:00:00 | 2009-01-01 00:00:00 | 2009-02-01 00:00:00 | 2009-03-01 00:00:00
ID
[NAME] |  | Mr Boston | 8 | 0 | 4
Spreadsheet: 877753d1724654439-make-sentence-in-excel-assets-descriptioning-2
Sheet: Sheet1

[NAME] | What Kind Of Item 1 | Quantity | What Kind Of Item 2 | Quantity | Date Purchased Eff | Percentage | Department | [NAME]. | [NAME]
[NAME] | Esco Miri TL6 Incubator | 2 | [NAME] | 3 | 2024-01-07 00:00:00 | 0.2 | Medical [NAME] | 301221106400003 |  |  |  |  |  | 141001 | FA Leasehold Improvements
 |  |  |  |  |  |  |  |  |  |  |  |  |  | 141002 | FA Furniture and Fixtures
 |  |  |  |  |  |  |  |  |  |  |  |  |  | 141003 | FA Office Equipments
 |  |  |  |  |  |  |  |  |  |  |  |  |  | 141004 | FA Medical Equipments
 |  |  |  |  |  |  |  |  |  |  |  |  |  | 141005 | FA Under Progress
 |  |  |  |  |  |  |  |  |  |  |  |  |  | 141007 | FA Trade Mark
 |  |  |  |  |  |  |  |  |  |  |  |  |  | 141008 | FA Preoperating
 |  |  |  |  |  |  |  |  |  |  |  |  |  | 141009 | FA Vehicles
 |  |  |  |  |  |  |  |  |  |  |  |  |  | 142008 | Acc Dep FA Preoperating
 |  |  |  |  |  |  |  |  |  |  |  |  |  | 142001 | Acc Dep Leasehold Improvements
 |  |  |  |  |  |  |  |  |  |  |  |  |  | 142002 | Acc Dep Furniture and Fixtures
 |  |  |  |  |  |  |  |  |  |  |  |  |  | 142003 | Acc Dep Office Equipments
 |  |  |  |  |  |  |  |  |  |  |  |  |  | 142004 | Acc Dep Medical Equipments
 |  |  |  |  |  |  |  |  |  |  |  |  |  | 142007 | Acc Dep Trade Mark
 |  |  |  |  |  |  |  |  |  |  |  |  |  | 142008 | Acc Dep FA Preoperating
 |  |  |  |  |  |  |  |  |  |  |  |  |  | 142009 | ACC DEP Vehicles
Spreadsheet: 47431d1246466966-row-of-data-within-a-time-period-ef0701e
Sheet: Result

Phone Number | Date | Duration (minutes) | Over 45 mins? | Phone Number of call over 45 for 3 times
A | 2009-07-01 00:00:00 | 45 | 1 | 3
B | 2009-07-01 00:00:00 | 100 | 1 | 1
A | 2009-07-01 00:00:00 | 11 | 0 | 3
A | 2009-07-01 00:00:00 | 45 | 1 | 3
A | 2009-07-01 00:00:00 | 46 | 1 | 3
C | 2009-07-01 00:00:00 | 4 | 0 | 0
D | 2009-07-02 00:00:00 | 50 | 1 | 3
E | 2009-07-01 00:00:00 | 11 | 0 | 0
F | 2009-07-01 00:00:00 | 1 | 0 | 0
D | 2009-07-02 00:00:00 | 55 | 1 | 3
D | 2009-07-02 00:00:00 | 60 | 1 | 3
Spreadsheet: 863361d1710868933-adjust-formula-with-blanks-no-blanks-test-etaf
Sheet: Sheet2

Countries | Code | 1 | 2 | 3 | 4 | 5 | 6
Afghanistan | AFG | Low income | 1234137 | 0 | 0.0105999994277954
Albania | ALB | Upper middle income | 83227 | 0.692341995239258 | 0.692341995239258
Algeria | DZA | Lower middle income | 988272 | 0 | 0.7907399749755859 |  |  |  |  | you'll see that for column H, I want to adjust the figures in column G so that, if a country doesn't have a percent (column F), it pulls from the income classification that the country is considered.  For example, I want Andorra - row 6 to show the amount in D6*B22, since it is considered a high-income country.
American Samoa | ASM | High income | 2327 | 0 | 0.683929901123047
Andorra | AND | High income | 1691 | 0 | 0
Angola | AGO | Lower middle income | 2334213.5 | 0 | 0.396110191345215
[NAME] and [NAME] | ATG | High income | 2104.5 | 0 | 0.7025360107421881
Argentina | ARG | Upper middle income | 1988442.5 | 0 | 0.76186653137207
Armenia | ARM | Upper middle income | 109181 | 0.287847690582275 | 0.287847690582275
Aruba | ABW | High income | 2112.5 | 0 | 1.03520858764648
Australia | AUS | High income | 618596.5 | 0 | 1.60214385986328
Austria | AUT | High income | 258173 | 0 | 1.02857139587402
Azerbaijan | AZE | Upper middle income | 421042 | 0.462895889282227 | 0.462895889282227
Bahamas, The | BHS | High income | 9258 | 0 | 0.397394790649414
Bahrain | BHR | High income | 58957 | 0 | 0.526030311584473
Bangladesh | BGD | Lower middle income | 8772784.5 | 0.3638068771362299 | 0.3638068771362299
Barbados | BRB | High income | 6023 | 0.751266479492188 | 0.751266479492188
Belarus | BLR | Upper middle income | 277425 | 0.9676632690429691 | 0.9676632690429691
High income | 0.837960662841797
Upper middle income | 0.779466094970703
Lower middle income | 0.584978103637695
Low income | 0.201464595794678
World | 0.608573989868164
Spreadsheet: 832391d1686309554-price-pick-from-last-updated-date-with-condition-sample
Sheet: Sheet1

 |  |  |  |  |  |  |  | Fruit | Valid From | Price
 |  |  |  |  |  |  |  | APPLE | 2020-06-23 00:00:00 | 100
 |  |  |  |  |  |  |  | APPLE | 2022-12-02 00:00:00 | 113.11 |  |  | Fruit | Date | Price
 |  |  |  |  |  |  |  | APPLE | 2023-01-30 00:00:00 | 121.86 |  | Ex 1 | APPLE | 2023-01-01 00:00:00 | 113.11
 |  |  |  |  |  |  |  | Orange | 2004-11-08 00:00:00 | 76.28
 |  |  |  |  |  |  |  | Orange | 2012-03-01 00:00:00 | 108.05 |  | Ex2 | Grapes | 2008-07-01 00:00:00 | 78.49
 |  |  |  |  |  |  |  | Grapes | 2004-11-08 00:00:00 | 76.28
 |  |  |  |  |  |  |  | Grapes | 2006-07-01 00:00:00 | 76.28 |  | Ex3 | Grapes | 2014-02-27 00:00:00 | 103.35
 |  |  |  |  |  |  |  | Grapes | 2007-07-01 00:00:00 | 76.28
 |  |  |  |  |  |  |  | Grapes | 2008-04-30 00:00:00 | 78.49
 |  |  |  |  |  |  |  | Grapes | 2008-07-01 00:00:00 | 78.49
 |  |  |  |  |  |  |  | Grapes | 2009-07-01 00:00:00 | 78.49
 |  |  |  |  |  |  |  | Grapes | 2010-03-29 00:00:00 | 95.6
 |  |  |  |  |  |  |  | Grapes | 2010-08-26 00:00:00 | 100.19
 |  |  |  |  |  |  |  | Grapes | 2012-03-01 00:00:00 | 108.05
 |  |  |  |  |  |  |  | Grapes | 2012-08-10 00:00:00 | 108.05
 |  |  |  |  |  |  |  | Grapes | 2012-11-19 00:00:00 | 103.35
 |  |  |  |  |  |  |  | Grapes | 2014-03-01 00:00:00 | 106.1
 |  |  |  |  |  |  |  | Grapes | 2015-03-01 00:00:00 | 107.71
 |  |  |  |  |  |  |  | Grapes | 2016-07-01 00:00:00 | 107.71
 |  |  |  |  |  |  |  | Grapes | 2017-09-22 00:00:00 | 113.11
Spreadsheet: 72458d1273140874-excel-2007-matching-cells-across-different-worksheets-matching-example
Sheet: Sheet2

Style | Sales in value | Sales in units | Receipts | Current Price
W15004 | 30 | 2 | 60
W15005 | 112 | 4 | 64
w15006 | 100 | 3 | 2
W15011 | 68 | 2 | 54
W15012 | 150 | 6 | 56
W15040 | 126 | 3 | 58
W15041 | 96 | 2 | 50
W15042 | 114 | 6 | 60
W15043 | 20 | 5 | 40
W15047 | 300 | 3 | 60
W15050 | 40 | 2 | 80
Spreadsheet: 011bde9b-ea3a-4bd0-9e94-2d590e0d1a03
Sheet: May

Year End: | May
Year:
Monthly CACFP Reimbursement:
Monthly Food Program Expenses:
Amount Needed from Other Funding Source:
Date | Check Number | Name (Payee on Check) | Total Amount of Check | Administrative Salaries and Benefits | Travel Expenses (include monitoring staff) | Printing, Office Supplies, Communications | Staff Training | Food Service Salaries and Benefits | Food (include delivery charges) | Purchased Vended Meals | Food Service Equipment | Allowable Nonfood Supplies | Occupancy/ Utilities | [NAME]. | Specify Misc.
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | TOTAL
Monthly CACFP Expenses:
End of worksheet
Spreadsheet: 784617d1655865464-lookup-previous-price-in-price-list-previous-price
Sheet: Price List

Date | Site | Supplier | P/N | MOQ | Price | Previous price
2022-06-21 00:00:00 | Paris | S1 | 123 | 10 | 12 |  |  |  |  |  | Task:
2022-06-21 00:00:00 | Paris | S1 | 258 | 30 | 16.5 |  |  |  |  |  | Lookup previous price matching with Site, [NAME], P/N and MOQ. If MOQ does not match, look for the closest value instead.
2022-06-21 00:00:00 | Paris | S1 | 258 | 60 | 12.6 |  |  |  |  |  | If the previous price does not exist for the criteria above, show "-".
2022-06-21 00:00:00 | Prague | S1 | 456 | 100 | 6.8 |  |  |  |  |  | Data may not be sorted
2022-06-21 00:00:00 | Prague | S1 | 456 | 1000 | 4.5
2022-06-21 00:00:00 | Prague | S1 | 456 | 10000 | 3.8
2022-06-18 00:00:00 | London | S2 | 147 | 100 | 15
2022-06-18 00:00:00 | Paris | S2 | 123 | 20 | 10.6
2022-06-18 00:00:00 | Paris | S2 | 159 | 1000 | 14
2022-06-18 00:00:00 | Prague | S2 | 369 | 4500 | 13
2022-06-18 00:00:00 | Prague | S2 | 369 | 13500 | 10.1
2022-06-18 00:00:00 | Prague | S2 | 369 | 26000 | 8.2
2022-05-15 00:00:00 | Prague | S3 | 369 | 4500 | 12
2022-05-15 00:00:00 | Prague | S3 | 369 | 26000 | 7.4
2022-04-18 00:00:00 | Paris | S1 | 123 | 10 | 14
2022-04-18 00:00:00 | Paris | S1 | 258 | 30 | 17
2022-04-18 00:00:00 | Paris | S1 | 258 | 60 | 13
2022-04-18 00:00:00 | Prague | S1 | 456 | 100 | 6.8
2022-04-18 00:00:00 | Prague | S1 | 456 | 1000 | 4.2
2022-04-18 00:00:00 | Prague | S1 | 456 | 10000 | 3.8
2022-03-30 00:00:00 | Prague | S3 | 369 | 4500 | 13
2022-03-30 00:00:00 | Prague | S3 | 369 | 26000 | 6.5
2022-03-05 00:00:00 | London | S2 | 147 | 100 | 14
2022-03-05 00:00:00 | Paris | S2 | 123 | 20 | 14.3
2022-03-05 00:00:00 | Paris | S2 | 159 | 1000 | 13
2022-03-05 00:00:00 | Prague | S2 | 369 | 4500 | 12
2022-03-05 00:00:00 | Prague | S2 | 369 | 13500 | 9.9
2022-03-05 00:00:00 | Prague | S2 | 369 | 26000 | 7.2
2022-03-04 00:00:00 | Paris | S2 | 159 | 100 | 20
2022-01-14 00:00:00 | Paris | S1 | 123 | 10 | 13
2022-01-14 00:00:00 | Paris | S1 | 258 | 30 | 16.5
2022-01-14 00:00:00 | Paris | S1 | 258 | 60 | 11.2
2022-01-14 00:00:00 | Prague | S1 | 159 | 200 | 17
2022-01-14 00:00:00 | Prague | S1 | 456 | 100 | 7
2022-01-14 00:00:00 | Prague | S1 | 456 | 1000 | 4.5
2022-01-14 00:00:00 | Prague | S1 | 456 | 10000 | 2.1
2021-12-22 00:00:00 | Prague | S3 | 369 | 4500 | 11
2021-12-22 00:00:00 | Prague | S3 | 369 | 26000 | 6.2
2021-12-19 00:00:00 | London | S2 | 147 | 100 | 16
2021-12-19 00:00:00 | Paris | S2 | 123 | 20 | 10.6
2021-12-19 00:00:00 | Paris | S2 | 159 | 1000 | 13
2021-12-19 00:00:00 | Prague | S2 | 369 | 4500 | 11
2021-12-19 00:00:00 | Prague | S2 | 369 | 13500 | 9.1
2021-12-19 00:00:00 | Prague | S2 | 369 | 26000 | 8.2
2021-12-18 00:00:00 | Paris | S2 | 159 | 200 | 16.5
Spreadsheet: 2ebf4637-a2cc-408b-8b24-d75aaf712f2d
Sheet: Sheet1

Table 10--U.S. oilseed meal prices | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6
Marketing | Soybean | Cottonseed | Sunflower | Peanut | Canola | Linseed
year | meal 2 | meal 3 | meal 4 | meal 5 | meal 6 | meal 7
 |  |  | $/Short ton
2001/02 | 167.72 | 136.16 | 87.27 | 112.32 | 143.33 | 121.29
2002/03 | 181.58 | 146.12 | 105 | 128.35 | 144.06 | 122.91
2003/04 | 256.05 | 183.47 | 111.14 | 177.56 | 188.45 | 159.25
2004/05 | 182.9 | 124.04 | 85.5 | 118.34 | 139.75 | 115.55
2005/06 | 174.1658333333333 | 144.2716666666667 | 77.46400000000001 | 106.9781818181818 | 140.5183333333333 | 115.53
2006/07 | 205.44 | 150.36 | 104.88 | 100 | 173.5 | 133.01
2007/08 | 335.94 | 253.81 | 172.81 |  | 251.32 | 228.81
2008/09 | 331.17 | 255.23 | 152.46 |  | 248.82 | 220.89
2009/10 | 311.27 | 220.9 | 151.04 |  | 224.92 | 209.23
2010/11 | 345.52 | 273.84 | 219.72 |  | 263.63 | 240.65
2011/121 | 365 | 240 | 220 |  | 290 | 240
2012/131 | 365-395 | 285-315 | 250-280 |  | 285-315 | 250-280
2010/11
October | 321.92 | 225.31 | 190.63 |  | 251.03 | 208.75
November | 341.78 | 235 | 211.5 |  | 257.73 | 237.5
December | 351.93 | 240.63 | 217.5 |  | 265.54 | 234.38
January | 368.54 | 245.63 | 205.63 |  | 275.8 | 255
February | 358.59 | 258.75 | 209.38 |  | 261.2 | 256.25
March | 345.43 | 256.5 | 210 |  | 260.32 | 236.5
April | 335.87 | 240 | 196.25 |  | 254.68 | 225.63
May | 342.3 | 275.5 | 203.13 |  | 267.82 | 231.88
June | 347.45 | 307.5 | 240.63 |  | 263.45 | 254.38
July | 346.52 | 313.13 | 241.25 |  | 277.55 | 260.63
August | 349.6 | 342.5 | 247 |  | 271.04 | 247.5
September | 336.32 | 345.63 | 263.75 |  | 257.34 | 239.38
2011/12
October | 301.45 | 255.63 | 232.5 |  | 238.7 | 243.75
November | 290.37 | 240.5 | 224 |  | 235.2 | 239
December | 281.65 | 220.63 | 225.63 |  |  | 221.25
January | 310.65 | 213 | 223.5 |  | 253.98 | 209
February | 330.37 | 190 | 191.88 |  | 257.63 | 193.75
March | 365.95 | 225 | 191.88 |  | 277.83 | 216.25
April | 394.29 | 240.63 | 211.25 |  | 313.38 | 256.25
May | 415.17 | 270 | 230.5 |  | 333.69 | 279
June1 | 422.59 | 294.38 | 226.88 |  | 335.26 | 287.5
1 Preliminary.  2 Hi-pro Decatur, IL.  3 41% Memphis.  4 34% North Dakota-Minnesota.
5 50% Southeast mills.  6 36% Pacific Northwest. 7 34% Minneapolis. NA= Not available.
Source: USDA, Agricultural Marketing Service, Monthly Feedstuff Prices.
Last update: | 2012-07-13 07:57:22.330000
Spreadsheet: thomas_martin__39855__2002 Plan Worksheet CC150297
Sheet: Cap HC Template

 | COMPANY NUMBER: | 413 |  | Due Date: | Support Depts. 9/1/99 - Commercial Teams 10/1/99
 | R/C NUMBER: | 0635 |  | E-Mail to [NAME]
 | R/C NAME: | East Originations
 | R/C OWNER: | [NAME]
STAFFING SUMMARY |  | 2000-01-01 00:00:00 | 2000-02-01 00:00:00 | 2000-03-01 00:00:00 | 2000-04-01 00:00:00 | 2000-05-01 00:00:00 | 2000-06-01 00:00:00 | 2000-07-01 00:00:00 | 2000-08-01 00:00:00 | 2000-09-01 00:00:00 | 2000-10-01 00:00:00 | 2000-11-01 00:00:00 | 2000-12-01 00:00:00
Executive |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
Director |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
Manager |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
Non-Commercial Executive |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
Non-Commercial Director |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
Non-Commercial Manager |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
Associates |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
Analysts |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
Other Commercial |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
Other Non Commercial |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
Administrative Asst. |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
Subtotal Employee Headcount
Contractors
TOTAL HEADCOUNT
PAYROLL EXPENSES |  | 2000-01-01 00:00:00 | 2000-02-01 00:00:00 | 2000-03-01 00:00:00 | 2000-04-01 00:00:00 | 2000-05-01 00:00:00 | 2000-06-01 00:00:00 | 2000-07-01 00:00:00 | 2000-08-01 00:00:00 | 2000-09-01 00:00:00 | 2000-10-01 00:00:00 | 2000-11-01 00:00:00 | 2000-12-01 00:00:00 | Total
Salaries & Wages |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
Special Pays |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
Subtotal Compensation
Benefits
Payroll Taxes
Subtotal Benefits and Payroll Taxes
Total
Spreadsheet: 478499d1472825751-need-an-indexmatch-lookup-formula-tweak-i-keep-getting-n-a-s-please-help-lookupwcriteria-2-
Sheet: Sheet2

 |  | 2015-01-01 00:00:00 | 2015-02-01 00:00:00 | 2015-03-01 00:00:00 | 2015-04-01 00:00:00 | 2015-05-01 00:00:00 | 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
 | 1165
 | 1178
 | 4050
Spreadsheet: 861495d1709370136-difference-between-two-dates-for-one-unique-value-thats-repeats-itself-test11
Sheet: Sheet1

 | ID |  |  |  |  |  |  |  |  |  | Date |  |  |  |  |  |  | ID | Date
 | 1111 |  |  |  |  |  |  |  |  |  | 2023-12-18 00:00:00 |  |  |  |  |  | 5 years, 8 months | 1111 | 2018-04-09 00:00:00
 | 1111 |  |  |  |  |  |  |  |  |  | 2023-10-18 00:00:00 |  |  |  |  |  |  | 2222 | 2012-06-15 00:00:00
 | 1111 |  |  |  |  |  |  |  |  |  | 2023-12-18 00:00:00 |  |  |  |  |  |  | 3333 | 2013-09-18 00:00:00
 | 1111 |  |  |  |  |  |  |  |  |  | 2023-10-18 00:00:00 |  |  |  |  |  |  | 4444 | 2014-01-11 00:00:00
 | 2222 |  |  |  |  |  |  |  |  |  | 2022-10-19 00:00:00
 | 2222 |  |  |  |  |  |  |  |  |  | 2021-10-13 00:00:00
 | 2222 |  |  |  |  |  |  |  |  |  | 2021-03-22 00:00:00
 | 2222 |  |  |  |  |  |  |  |  |  | 2021-01-18 00:00:00
 | 3333 |  |  |  |  |  |  |  |  |  | 2020-10-26 00:00:00
 | 3333 |  |  |  |  |  |  |  |  |  | 2020-08-24 00:00:00
 | 3333 |  |  |  |  |  |  |  |  |  | 2020-06-01 00:00:00
 | 3333 |  |  |  |  |  |  |  |  |  | 2023-12-18 00:00:00
 | 4444 |  |  |  |  |  |  |  |  |  | 2023-12-19 00:00:00
 | 4444 |  |  |  |  |  |  |  |  |  | 2023-12-20 00:00:00
 | 5555 |  |  |  |  |  |  |  |  |  | 2023-12-21 00:00:00
 |  |  |  |  |  |  |  |  |  |  | 2023-12-22 00:00:00
 |  |  |  |  |  |  |  |  |  |  | 2023-12-23 00:00:00
 |  |  |  |  |  |  |  |  |  |  | 2023-12-24 00:00:00
 |  |  |  |  |  |  |  |  |  |  | 2023-12-25 00:00:00
 |  |  |  |  |  |  |  |  |  |  | 2023-12-26 00:00:00
 |  |  |  |  |  |  |  |  |  |  | 2023-12-27 00:00:00
 |  |  |  |  |  |  |  |  |  |  | 2023-12-28 00:00:00
 |  |  |  |  |  |  |  |  |  |  | 2023-12-29 00:00:00
 |  |  |  |  |  |  |  |  |  |  | 2023-12-30 00:00:00
 |  |  |  |  |  |  |  |  |  |  | 2023-12-31 00:00:00
Spreadsheet: 456781d1461060024-validating-the-validation-data-dependent-drop-down-lists-validating-the-validation-v2
Sheet: Lookup

 | Position |  | Goalkeeper |  | [NAME]
 | Goalkeeper |  | [NAME] |  | Over 6ft
 | [NAME] |  | Good with feet |  | Under 6ft
 | Midfielder
 | Attacker |  | [NAME] |  | Good with feet
 |  |  | Centre Back |  | Over 6ft
 |  |  | Full Back |  | Under 6ft
 |  |  | Midfielder |  | Centre Back
 |  |  | Winger |  | Over 6ft
 |  |  | Attacking |  | Under 6ft
 |  |  | Defensive
 |  |  |  |  | Full Back
 |  |  | Attacker |  | Over 6ft
 |  |  | [NAME] |  | Under 6ft
 |  |  | Target Man
 |  |  |  |  | Winger
 |  |  |  |  | Over 6ft
 |  |  |  |  | Under 6ft
 |  |  |  |  | Attacking
 |  |  |  |  | Over 6ft
 |  |  |  |  | Under 6ft
 |  |  |  |  | Defensive
 |  |  |  |  | Over 6ft
 |  |  |  |  | Under 6ft
 |  |  |  |  | [NAME]
 |  |  |  |  | Over 6ft
 |  |  |  |  | Under 6ft
 |  |  |  |  | Target Man
 |  |  |  |  | Over 6ft
 |  |  |  |  | Under 6ft