tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 140619d1328821171-inventory-yfeb-food-total-values
Sheet: 2-28-12

 | Breakfast | Quantity | Measure | Food Item | Cost | Daily Points
 | Daily Total
 | Lunch | Quantity | Measure | Food Item | Cost | Daily Points
 | Dinner | Quantity | Measure | Food Items | Cost | Daily Points
Spreadsheet: 44834d1243558667-finding-the-earliest-time-employee-schedule
Sheet: Week 1

 | Labor Cost Analysis |  |  |  | (Complete the boxes below) |  |  |  |  |  | Hours Available
 | For week beginning |  |  |  | 2009-05-20 00:00:00 |  |  |  |  |  |  |  |  |  | Hours | Cost
 | Labor Target |  |  |  | 0.16 |  |  |  |  |  | Total Labor Hours + Mger
 | Avg hourly wage |  |  |  | 9.51 |  |  |  |  |  | Scheduled labor hours
 | Expected NET Sales |  |  |  | 22000 |  |  |  |  |  | Hours Under (Over)
 |  | Weekly Schedule
 |  | Wednesday |  |  | Thursday |  |  | Friday |  |  | Saturday |  |  | Sunday |  |  | Monday |  |  | Tuesday
 |  | 2009-05-20 00:00:00
Rate |  | In | Out |  | In | Out |  | In | Out |  | In | Out |  | In | Out |  | In | Out |  | In | Out |  | TOTAL | Est. Cost
0 | Culinary
11.5 | [NAME] | 11:00:00 | 17:00:00 |  | 07:30:00 | 14:00:00 |  | 11:00:00 | 17:00:00 |  | 09:00:00 | 14:00:00 |  | 08:00:00 | 16:00:00
 |  |  |  |  |  |  |  |  |  |  | 16:00:00 | 21:30:00
0
10.75 | [NAME] | 09:00:00 | 14:00:00 |  | 11:00:00 | 16:00:00 |  | 09:00:00 | 14:00:00 |  |  |  |  |  |  |  | 09:00:00 | 17:00:00 |  | 09:00:00 | 17:00:00
10.5 | Tiffany | 17:00:00 | 00:00:00 |  | 16:00:00 | 00:00:00 |  | 16:00:00 | 21:00:00 |  | 11:00:00 | 16:00:00 |  | 11:00:00 | 15:00:00
 |  |  |  |  |  |  |  |  |  |  | 17:00:00 | 21:00:00
10 | [NAME] |  |  |  | 07:30:00 | 08:30:00 |  | 17:00:00 | 01:00:00 |  | 15:00:00 | 01:00:00 |  | 12:00:00 | 13:30:00 |  | 18:00:00 | 00:00:00 |  | 18:00:00 | 00:00:00
 |  |  |  |  |  |  |  |  |  |  |  |  |  | 16:00:00 | 23:00:00
9 | [NAME] | 15:00:00 | 20:00:00 |  | 17:00:00 | 00:00:00 |  | 17:00:00 | 00:00:00
9 | Bradley | 17:00:00 | 00:00:00 |  |  |  |  | 16:00:00 | 20:00:00 |  | 18:00:00 | 01:00:00 |  | 17:00:00 | 23:00:00 |  |  |  |  | 17:00:00 | 20:00:00
9 | Tara |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11:00:00 | 14:00:00 |  | 11:00:00 | 14:00:00
9 | [NAME] |  |  |  | 16:00:00 | 20:30:00 |  |  |  |  | 17:00:00 | 23:00:00 |  | 12:00:00 | 14:00:00 |  | 17:00:00 | 20:00:00
8 | Ramone | 09:30:00 | 13:00:00 |  | 09:30:00 | 13:00:00 |  | 09:30:00 | 13:00:00 |  | 09:30:00 | 13:00:00 |  |  |  |  |  |  |  | 09:30:00 | 13:00:00
9 | Virginia | 17:00:00 | 21:00:00 |  | 17:00:00 | 12:00:00 |  | 17:00:00 | 21:00:00 |  |  |  |  |  |  |  | 09:30:00 | 13:00:00
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 18:00:00 | 21:00:00
8 | Reyna |  |  |  |  |  |  | 17:00:00 | 00:00:00 |  | 17:00:00 | 01:00:00 |  | 17:00:00 | 23:00:00 |  | 18:00:00 | 00:00:00 |  | 17:00:00 | 00:00:00
9 | Sandra | 10:00:00 | 15:00:00 |  | 10:00:00 | 15:00:00 |  | 10:00:00 | 15:00:00 |  | 10:00:00 | 15:00:00 |  | 10:00:00 | 15:00:00
10.5 | Sayon | 17:00:00 | 00:00:00 |  | 17:00:00 | 21:00:00 |  |  |  |  | 17:00:00 | 21:00:00 |  | 17:00:00 | 21:00:00 |  |  |  |  | 18:00:00 | 21:00:00
Spreadsheet: c99a684e-7563-40d6-a9c5-e88afe0fc161
Sheet: Sheet1

Hershey Season Schedule | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7
Date | Game Number | Visiting Team | Visiting Score | Home Team | Home Score | Game Time/Status | Venue
2013-04-26 | 1 | Hershey | 5 | Providence | 2 | Final | Dunkin' Donuts Center Providence, RI
2013-04-28 | 2 | Hershey | 5 | Providence | 4 | Final OT | Dunkin' Donuts Center Providence, RI
2013-05-04 | 3 | Providence | 5 | Hershey | 1 | Final | Giant Center Hershey, PA
2013-05-05 | 4 | Providence | 5 | Hershey | 4 | Final | Giant Center Hershey, PA
2013-05-08 | 5 | Hershey | 2 | Providence | 3 | Final | Dunkin' Donuts Center Providence, RI
Spreadsheet: f6972670-695e-4bd6-bfca-92dbe2291308
Sheet: Sheet1

PROPOSED IWG+ MEMBERSHIP | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4
Last Name | First Name | Role | Organization | E-mail
Hori | Masa | IODP Council (Co-Chair) | Ministry of Education, Culture, Sports, Science and Technology | [EMAIL]
Batiza | Rodey | IODP Council (Co-Chair) | National Science Foundation (NSF) | [EMAIL]
Mevel | [NAME] | IODP Council, EMA | ECORD Managing Agency | [EMAIL]
[NAME] | Ian | IODP Council, Australia | Australian Research Council | [EMAIL]
Yeats | [NAME] | for [NAME] | Australia's Commonwealth Scientific and Industrial Research Organisation (CSIRO) | [EMAIL]
Shen | [NAME] | IODP Council, China | Ministry of Science and Technology | [EMAIL]
Ravindra | Rasik | IODP Council, India | Ministry of Earth Sciences | [EMAIL]
[NAME] | [NAME] | IODP Council, Korea | Korea Institute of Geoscience and Mineral Resources | [EMAIL]
Barriga | [NAME] | IODP Council, ECORD | University of Lisbon | [EMAIL]
[NAME] | [NAME] | IODP Council, ECORD | Spanish Ministry of Education and Science | [EMAIL]
Franklin | [NAME] | IODP Council, ECORD | Natural Environment Research Council | [EMAIL]
Lüniger | Guido | IODP Council, ECORD | German Research Foundation (DFG) | [EMAIL]
Matul | [NAME] | [NAME] to Russia | Paleooceanology and biostratigraphy Laboratory P.P.Shirshov Institute of Oceanology | [EMAIL]; [EMAIL]
Suyehiro | [NAME] | IODP-MI President | IODP-MI | [EMAIL]
[NAME] | [NAME] | [NAME] to INVEST | IODP-MI | [EMAIL]
[NAME] | Masaru | SASEC Chair (future) | Tokyo Institute of Technology | [EMAIL]
Raymo | Maureen | SASEC Chair (future) | Boston University | [EMAIL]
[NAME] | [NAME] | USIO | COL | [EMAIL]
Evans | [NAME] | ESO | BGS | [EMAIL]
Kuramoto | Shin'ichi | CDEX | JAMSTEC | [EMAIL]
[NAME] | Jun | CDEX | JAMSTEC | [EMAIL]
Kawamura | Yoshi | CDEX | JAMSTEC | [EMAIL]
Spreadsheet: 373615d1422494999-take-corresponding-name-and-points-and-make-a-summary-of-points-sujra-time-sheets-places
Sheet: Sr Boys Pt Summary

Contestant | 2015-02-27 00:00:00 | 2015-02-28 00:00:00 | 2015-03-20 00:00:00 | 2015-04-19 00:00:00 | 2015-05-07 00:00:00 | 2015-05-08 00:00:00
[NAME] | 21
tom | 28
[NAME] | 4
[NAME] | etc
[NAME] | etc
[NAME] | etc
[NAME] | etc
[NAME] | etc
cam | etc
[NAME]
Spreadsheet: 0d1a0d6e-9d7f-452d-9e9b-9f4e20145760
Sheet: Page 2

 | Permit No.: | WQ0034380 |  | Facility Name: |  | Sanderson Farms WWTF |  |  |  |  |  | County: |  | Lenoir |  | Month: |  |  |  | Year:
 |  | Field Name: |  | 3B |  | Field Name: |  | 4A |  | Field Name: |  | 4B |  | Field Name: |  | 5A |  | Field Name: |  | 5B
 |  | Area (acres): |  | 3.51 |  | Area (acres): |  | 19.7 |  | Area (acres): |  | 8.14 |  | Area (acres): |  | 27.9 |  | Area (acres): |  | 1.4
 |  | Cover Crop: |  |  |  | Cover Crop: |  |  |  | Cover Crop: |  |  |  | Cover Crop: |  |  |  | Cover Crop:
 |  | Load Type: |  | PAN |  | Load Type: |  | PAN |  | Load Type: |  | PAN |  | Load Type: |  | PAN |  | Load Type: |  | PAN
 |  | [NAME]? |  |  |  | [NAME]? |  |  |  | [NAME]? |  |  |  | [NAME]? |  |  |  | [NAME]?
 | Date | Volume Applied |  |  |  | Volume Applied |  |  |  | Volume Applied |  |  |  | Volume Applied |  |  |  | Volume Applied
 | Month | gal | mg/L | lbs/ac | lbs/ac | gal | mg/L | lbs/ac | lbs/ac | gal | mg/L | lbs/ac | lbs/ac | gal | mg/L | lbs/ac | lbs/ac | gal | mg/L | lbs/ac | lbs/ac
Spreadsheet: 3e59dc1d-fc1c-46e1-bf5a-e253a6b4bdc7
Sheet: Sheet1

Table 7--U.S. textile exports, by fiber | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5
 |  | 2011 |  |  | 2010
Item | May | June | July |  | July
 | 1,000 pounds 1/
[NAME], thread, and fabric: | 270870.869 | 267878.752 | 258897.963 | 0 | 251579.696
Cotton | 153544.826 | 154170.126 | 151251.235 |  | 137597.422
Linen | 6863.387 | 6579.852 | 6283.095 |  | 6875.523
Wool | 3142.698 | 3234.003 | 3070.824 |  | 3123.813
Silk | 1224.228 | 1390.765 | 1160.774 |  | 1024.278
Manmade | 106095.73 | 102504.006 | 97132.035 |  | 102958.66
Apparel: | 23037.29 | 25888.795 | 26615.757 | 0 | 23986.233
Cotton | 10189.083 | 11284.602 | 11364.156 |  | 11308.523
Linen | 383.396 | 589.641 | 467.12 |  | 393.482
Wool | 1433.411 | 1499.453 | 1698.34 |  | 1307.727
Silk | 1109.1 | 1381.843 | 1542.151 |  | 1195.609
Manmade | 9922.3 | 11133.256 | 11543.99 |  | 9780.892
Home furnishings: | 2870.23 | 3693.340999999999 | 4014.143 | 0 | 4154.456
Cotton | 1262.599 | 1713.863 | 1894.153 |  | 2067.15
Linen | 152.992 | 144.022 | 156.766 |  | 153.806
Wool | 74.91 | 144.226 | 107.94 |  | 93.705
Silk | 87.978 | 70.979 | 81.871 |  | 64.838
Manmade | 1291.751 | 1620.251 | 1773.413 |  | 1774.957
Floor coverings: | 29977.925 | 31121.387 | 31355.366 | 0 | 30894.745
Cotton | 1949.236 | 2108.841 | 2271.557 |  | 1950.575
Linen | 901.297 | 946.676 | 1246.331 |  | 1050.458
Wool | 2634.186 | 2553.981 | 2616.32 |  | 2264.443
Silk | 37.105 | 40.291 | 56.181 |  | 18.231
Manmade | 24456.101 | 25471.598 | 25164.977 |  | 25611.038
Total exports: 2/ | 326964.093 | 328840.055 | 321149.702 | 0 | 310864.505
Cotton | 167051.619 | 169381.285 | 166893.921 |  | 153054.555
Linen | 8303.119 | 8267 | 8159.483 |  | 8478.132
Wool | 7288.522 | 7440.285 | 7499.783 |  | 6796.383
Silk | 2458.418 | 2883.878 | 2840.977 |  | 2302.956
Manmade | 141862.415 | 140867.607 | 135755.538 |  | 140232.479
1/ Raw-fiber equivalent.  2/ Includes headgear.
Last update:  10/13/11.
Sources: USDA, Economic Research Service; and USDC,
U.S. Census Bureau.
Spreadsheet: 708072d1607608577-simplifying-a-very-old-worksheet-bourn
Sheet: Giboin

hole | par | stroke index | adjusted par | pts calc | [NAME] | strokes | points | PAR 3 | INDEX 1 | INDEX 2 | INDEX 3 | adjusted par | pts calc | [NAME] | INDEX 1 | INDEX 2 | INDEX 3 | points | handicap | handicap | HANDICAPPING
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | handicap | catergory | Buffer Zone | css | Nett Differential | adjustment
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Nett | Nett
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | points | points
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | par 3
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | sss | css adj | "RO"
in
out
total
Spreadsheet: 539503d1506179500-numbers-showing-a-comma-instead-of-a-fullstop-example
Sheet: Sheet1

10.25 | 0.06 | 6
typed 10.25 and shows as this | Have typed 6 in the above cell and shows as 0 - on the format cells I have this set as number with no decimal points | Have typed 600 in the above cell and shows as 6 - n the format cells I have this set as number with no decimal points | have typed in d3 +b3 and shows as this - n the format cells I have this set as number with no decimal points | have typed in d3 +a3 and shows as this - n the format cells I have this set as number with no decimal points
10.25 | 0.06 | 6
have typed 1025 and shows as this | Have typed 6 in the above cell and shows as 0 - on the format cells I have this set as number with 2 decimal points | Have typed 600 in the above cell and shows as 6 - on the format cells I have this set as number with 2 decimal points | have typed in d6 +b6 and shows as this - on the format cells I have this set as number with 2 decimal points | have typed in d6 +a6 and shows as this - on the format cells I have this set as number with 2 decimal points
Spreadsheet: 374bbd9c-77e0-433b-b0ae-2a8f9a7c44e1
Sheet: 2

 | November 29 | December 6 | December 13 | December 20 | December 27
Total Interest Rate* | 657834881 | 660225913 | 741509415 | 737320415 | 734549856
SDs and MSPs** | 552360963 | 557778712 | 633677555 | 621218071 | 619220188
Other | 105473917 | 102447202 | 107831860 | 116102345 | 115329668
Total Cross-Currency | 23418311 | 24292721 | 28367503 | 28024285 | 28274953
SDs and MSPs | 19826164 | 20605038 | 24586862 | 24276703 | 24495417
Other | 3592147 | 3687683 | 3780641 | 3747582 | 3779536
Total Credit | 18912214 | 18568590 | 18595270 | 17741854 | 17160679
SDs and MSPs | 14277521 | 13961086 | 13940658 | 13306870 | 12818317
Other | 4634693 | 4607504 | 4654612 | 4434984 | 4342362
Total FX**** | 62900000 | 62900000 | 62900000 | 62900000 | 62900000
SDs and MSPs | N/A | N/A | N/A | N/A | N/A
Other | N/A | N/A | N/A | N/A | N/A
Total Equity**** | 8840000 | 8840000 | 8840000 | 8840000 | 8840000
SDs and MSPs | N/A | N/A | N/A | N/A | N/A
Other | N/A | N/A | N/A | N/A | N/A
Total Other Commodity**** | 3400000 | 3400000 | 3400000 | 3400000 | 3400000
SDs and MSPs | N/A | N/A | N/A | N/A | N/A
Other | N/A | N/A | N/A | N/A | N/A
TOTAL | 775305406 | 778227224 | 863612188 | 858226554 | 855125488
Weekly snapshot, gross notional amount outstanding by asset class and participant type (millions of USD), all products, origins, currencies, tenors, and participant types, cleared and uncleared. For cleared swaps, the notional value for each of the two resulting swaps is attributed only to the counterparty facing the clearing organization (i.e., the clearing organization’s participation is not displayed). For uncleared swaps, the notional value of the swap is attributed to both swap counterparties. Because this table shows the aggregated notional values of swaps by participant, the totals on this table are twice those displayed on the "Gross Notional Outstanding by Cleared Status" table.
*See Data Dictionary for asset class descriptions.
**See Explanatory Notes for participant type descriptions.
***N/A indicates that data are not currently available.
****These numbers are estimates.
The Commission requests feedback on the format and content of this CFTC Swaps Report table. Submit comments to [EMAIL].
Spreadsheet: 234412d1368093909-arrange-in-sequence-order-order-whith-selected-filter-book1new
Sheet: Sheet1

name | selected filter 2
 | 1
 | 1
 | 1
 | 1
 | 1
 | 1
 | 1
 | 1
 | 1
 | 1
 | 1
 | 1
 | 1
 | 1
 | 1
 | 1
 | 1
 | 1
a001 | 2
a002 | 2
a003 | 2
a004 | 2
a005 | 2
a006 | 2
a007 | 2
a008 | 2
a009 | 2
a010 | 2
a011 | 2
a012 | 2
[NAME] | 2
a014 | 2
a015 | 2
a016 | 2
a017 | 2
a018 | 2
a019 | 2
a020 | 2
a021 | 2
a022 | 2
a023 | 2
a024 | 2
a025 | 2
a026 | 2
a027 | 2
a028 | 2
a029 | 2
a030 | 2
Spreadsheet: 146292d1332062010-excel-2007-shift-data-up-if-there-is-any-empty-cell-book1
Sheet: Sheet2

 |  |  |  |  | all the red data need to be shifted up to full the empty cell
Spreadsheet: 775294d1648993368-writing-results-of-a-refreshed-table-into-a-new-line-excel-problem
Sheet: Tabelle1

Stock Chart  Daily Results
Stock | Amount | Stock Price | Portfolio
#[NAME]! | 4
#[NAME]! | 6
 |  |  |  | Portfolio Value
[NAME] over time
date | Portfolio Value
2022-04-01 00:00:00 | 2400
2022-04-02 00:00:00 | 2500 |  |  | this changes and shall be tracked so that I can create my own chart of my portfolio value over time
2022-04-03 00:00:00
 |  |  | how can this field automatically be added day by day with the current value of D4 which changes every day
Spreadsheet: 888180d1738642751-giving-a-start-date-based-on-certain-criteria-datescheck2
Sheet: Sheet1

 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | # of months gap | 3
 |  | Earliest |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Most Recent | Answer Required
 |  | 2020-01-01 00:00:00 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Date to start counting # of products from | answer
 | Product A | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 6 | 7 | 8 | 10 | 7 | 2 | 0 | 0 | 3 | 4 | 7 | 0 | 8 | 9 | 12 | 1 | 9 |  | 2020-08-01 00:00:00
 | Product B | 1 | 12 | 13 | 1 | 45 | 5 | 6 | 12 | 8 | 3 | 3 | 88 | 1 | 8 | 4 | 1 | 1 | 2 | 3 | 8 | 7 | 2 | 6 | 9 |  | 2020-01-01 00:00:00
 | Product C | 0 | 7 | 1 | 98 | 0 | 0 | 56 | 22 | 71 | 7 | 3 | 1 | 1 | 3 | 9 | 0 | 0 | 0 | 3 | 2 | 6 | 7 | 3 | 3 |  | 2021-07-01 00:00:00
 | Product D | 4 | 0 | 0 | 8 | 8 | 7 | 0 | 0 | 3 | 44 | 55 | 1 | 0 | 0 | 1 | 2 | 2 | 5 | 8 | 2 | 0 | 12 | 0 | 17 |  | 2020-01-01 00:00:00
 | Product E | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 |  | 2021-04-01 00:00:00
 | Product F | 0 | 0 | 6 | 2 | 3 | 4 | 8 | 6 | 3 | 6 | 1 | 9 | 7 | 0 | 0 | 68 | 1 | 75 | 4 | 2 | 1 | 0 | 0 | 0
Spreadsheet: 537134d1504824445-sorting-and-copying-to-a-new-sheet-based-on-values-copy-of-example-jacko2stars-
Sheet: Sheet1

 | A | B | C | D | 0 | 0.5 | F | F.5 | 1 | 1.5 | 2 | 2.5 | 3 | 3.5 | 4 | 4.5 | 5 | 5.5 | 6 | 6.5 | 7
Spreadsheet: 36242d1234092885-charting-non-contiguous-data-ranges-diabetes-log
Sheet: Medication

Aquired
Taken
Per Day | 2 | 1 | 1 | 2
Days Left
 | Medications Aquired
Date | Metformin | Glucotrol | Vitamins | Wellbutrin
2009-02-05 00:00:00 |  |  |  | 60
2009-01-30 00:00:00 | 180 | 90
??? |  |  | 300
Spreadsheet: 702774d1604517614-need-formula-help-to-compare-2-data-sheets-and-extract-cell-value-demo
Sheet: Sheet A

data 1 | data 2 | data 3 | data 4 | data 5 | data 6 | data 7 | data 8 | data 9 | data 10 | data 11 | data 12 | data 13 | data 14 | data 15 | data 16
x | x | apple | orange | x | x | x | x | x | x | x | lemon | x | x | x | VALUE
 |  | Value combination in C2, [NAME] and L2 to be compared with  columns E, J and M in Sheet B. If match found, return value found in matching row in Sheet B, column A to Sheet A P2.
Spreadsheet: 879118d1726572292-primary-code-and-secondary-code-selection-cpt-groups-jt-
Sheet: Secondary group data

Secondary code group 1 | Secondary code group 1 description |  | Secondary code group 2 | Secondary code group 2 description |  | Secondary code group 3 | Secondary code group 3 description |  | Secondary code group 4 | Secondary code group 4 description
12345 | 12345 description |  | 23456 | 23456 description |  | 34567 | 34567 description |  | 44567 | 44567 description
12346 | 12346 description |  | 23457 | 23457 description |  | 34568 | 34568 description |  | 44568 | 44568 description
12347 | 12347 description |  | 23458 | 23458 description |  | 34569 | 34569 description |  | 44569 | 44569 description
12348 | 12348 description |  | 23459 | 23459 description |  | 34570 | 34570 description |  | 44570 | 44570 description
12349 | 12349 description |  | 23460 | 23460 description |  | 34571 | 34571 description |  | 44571 | 44571 description
12350 | 12350 description |  | 23461 | 23461 description |  | 34572 | 34572 description |  | 44572 | 44572 description
12351 | 12351 description |  | 23462 | 23462 description |  | 34573 | 34573 description |  | 44573 | 44573 description
12352 | 12352 description |  | 23463 | 23463 description |  | 34574 | 34574 description |  | 44574 | 44574 description
Spreadsheet: ac032786-c7d9-4cb8-b1ff-0b0f3f41a3ed
Sheet: Sheet1

PROG ID | ATHLETE ID | ATHLETE FIRST | ATHLETE LAST | NATIONALITY | START NUMBER | SWIM | T1 | BIKE | T2 | RUN | POSITION | TOTAL TIME
261658 | 72731 | Ricardo | Marin [NAME] | ESP | 43 | 00:12:08 | 00:03:16 | 00:35:40 | 00:00:00 | 00:28:51 | 1 | 01:19:55
261658 | 7986 | [NAME] | Perkins | USA | 41 | 00:14:00 | 00:03:27 | 00:39:00 | 00:00:00 | 00:32:09 | 2 | 01:28:35
261658 | 58157 | [NAME] | Molina | ESP | 44 | 00:10:29 | 00:02:31 | 00:00:00 | 00:00:00 | 00:00:00 | DNF | 00:00:00
Spreadsheet: 758456d1638885264-productivity-for-individual-variance-data
Sheet: Sheet1 (2)

Emp ID | Name | Tenure Year | Tenure Month | Workout | Core Time | Productivity | Q2 | Productivity Q2 | Q3 | Productivity Q3 | [NAME] | [NAME] | Total WK | CD | I - H | K -  J | [NAME]/min | Percent |  | Baseline of Productivuty |  |  |  |  |  |  |  | calculation
134 | Ovi | 4 | 3 | 1018.07 | 845.87 | 1.2036 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Productivity Quartile 2 | if(g2<O4,O4,G2) |  | total workout baseline | workout Q2 | sum of workout Q2
20 | [NAME] | 2 | 10 | 1064.99 | 893.65 | 1.1917 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Productivity Quartile 3 | if(H2<O5,O4,H2) |  | sum of workout | workout Q2 | sum of workout Q3
30 | Him | 5 | 9 | 502.15 | 421.47 | 1.1914 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 | < 6m |  |  |  |  | Q2 | QUARTILE(G2:G26,2)
32 | Piy | 2 | 7 | 825.15 | 697.75 | 1.1834 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6 | 6m - < 1yr |  |  |  |  | Q3 | QUARTILE(G2:G26,3) | total coretime
131 | Ape | 3 | 2 | 820.11 | 699.82 | 1.1719 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12 | 1yr - < 2yr |  |  |  |  |  |  | sum of coretime
22 | San | 1 | 11 | 971.23 | 835.68 | 1.1622 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 24 | 2yr-<5yr |  |  |  | workout Quartile 2 | iferror((e2/g2)*H2),"") |  | total workout at baseline / total core time
138 | Uth | 5 | 0 | 1000.58 | 862.92 | 1.1595 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 60 | 5 |  |  |  | workout Quartile 3 | iferror((e2/g2)*I2),"") | Prod baseline
34 | Sak | 2 | 4 | 939.56 | 811.97 | 1.1571
24 | Sug | 0 | 10 | 807.97 | 705.25 | 1.1457 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | total prod at Q2 | total workout at Q2/total core time
33 | Rav | 8 | 8 | 917.66 | 803.18 | 1.1425 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | total prod at Q2 | total workout at Q3/total core time
28 | [NAME] | 2 | 9 | 861.31 | 754.28 | 1.1419
139 | Var | 2 | 1 | 971.28 | 850.97 | 1.1414
27 | [NAME] | 1 | 6 | 472.4 | 415.18 | 1.1378 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | % Variance | workout variance
133 | Niv | 2 | 11 | 1108.23 | 978.27 | 1.1328
35 | Smi | 6 | 2 | 907.71 | 807.12 | 1.1246
31 | Om | 9 | 0 | 892.36 | 797.5 | 1.1189
37 | Yas | 1 | 1 | 902.51 | 830.92 | 1.0862
19 | Log | 5 | 8 | 834.71 | 788.82 | 1.0582
36 | Shi | 1 | 1 | 845.05 | 807.77 | 1.0462
135 | Pra | 0 | 10 | 649.51 | 621 | 1.0459
129 | Ana | 4 | 11 | 852.18 | 823.4 | 1.035
25 | Sur | 1 | 1 | 884.27 | 876.8 | 1.0085
21 | Rag | 0 | 8 | 797.79 | 810.08 | 0.9848
26 | Swa | 0 | 11 | 848.19 | 867.9 | 0.9773000000000001
Spreadsheet: 144571d1331047423-randomizing-set-group-of-numbers-test-schedule
Sheet: Sheet1

Numbers to use |  | Generated with =[NAME])) |  |  |  |  |  |  |  |  |  |  |  | 105 rows of 6
19
33
3
18
22
39
42
43
20
26
30
46
36
47
1
4
8
24
48
 |  | Monday | Tuesday | Wednesday | Thursday | Friday | Saturday
 |  |  |  |  |  | I got this far but don’t understand  how to stop duplicates
Spreadsheet: 889753d1740669675-earliest-time-and-date-return-for-each-day-book3
Sheet: Sheet1

Data |  |  |  |  | Timesheet creation
Date/time | User | Where |  |  | Required formula to obtain:
2025-02-26 16:02:21 | [NAME] | (Out) |  |  | First (in) time
2025-02-26 15:36:14 | [NAME] | (In) |  |  | Last (out) time
2025-02-26 15:32:58 | [NAME] | (Out) |  |  | For each and every day
2025-02-26 15:31:12 | [NAME] | (In)
2025-02-26 07:01:25 | [NAME] | (Out) |  |  | i.e.
2025-02-26 06:46:13 | [NAME] | (In)
2025-02-26 06:42:00 | [NAME] | (Out) |  |  | date | in | out | hrs
2025-02-26 06:16:46 | [NAME] | (In) |  |  | 2025-02-26 00:00:00 | 06:16:00 | 16:02:00
2025-02-25 14:31:03 | [NAME] | (Out) |  |  | 2025-02-25 00:00:00 | 06:07:00 | 14:31:00
2025-02-25 14:26:38 | [NAME] | (In)
2025-02-25 14:20:53 | [NAME] | (Out)
2025-02-25 14:11:35 | [NAME] | (In)
2025-02-25 06:29:13 | [NAME] | (Out)
2025-02-25 06:07:18 | [NAME] | (In)
Spreadsheet: 147048d1332498562-conditional-formatting-dates-solved-0151-1
Sheet: review

 |  |  | 2nd Week Service Telephone Review
 |  | Todays Date
 |  | 2012-03-23 00:00:00
 |  | First Name of Service User | Last Name | Date Joined | Review Done
 |  |  |  | 2012-03-02 00:00:00 | 2012-03-23 00:00:00
 |  |  |  | 2012-03-07 00:00:00
 |  |  |  | 2012-03-22 00:00:00
 |  |  |  | 2012-01-01 00:00:00
 |  |  |  | 2012-03-01 00:00:00
 |  |  |  | 2012-03-21 00:00:00
 |  |  |  | 2012-03-08 00:00:00 | 2012-03-09 00:00:00
 |  |  |  | 2012-03-07 00:00:00
 |  |  |  | 2012-03-09 00:00:00
 |  |  |  | 2012-03-19 00:00:00
 |  |  |  | 2012-03-10 00:00:00
 |  |  |  | 2012-03-11 00:00:00
 |  |  |  | 2012-03-12 00:00:00
 |  | 0 | 0 | 13 | 2
Spreadsheet: michelle_lokay__26617__imbalsumm0102
Sheet: burlington

56423
Day | Measured | Scheduled | Imbal
1 | 159499 | 157188
2 | 105053 | 103320
3 | 164647 | 163202
4 | 179039 | 178178
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
2001-01-31 00:00:00 |  |  | -318209
2001-02-04 00:00:00