tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 0b04ae08-f476-4353-a076-1b480aa4d90b
Sheet: SF1

UniProt | UniProtName | SignalP | Orthologous/paralogous gene expressed in rodents saliva
P01857 | IGHG1 | no
P01871 | IGHM | no
P01876 | IGHA1 | no
P04075 | ALDOA | no
P04080 | CYTB | no
P04083 | ANXA1 | no
P04406 | [NAME] | no
P05109 | S10A8 | no
P06702 | S10A9 | no
P06733 | ENOA | no
P09211 | GSTP1 | no
P10599 | THIO | no
P13796 | PLSL | no
P14618 | KPYM | no
P23284 | PPIB | no
P29508 | SPB3 | no
P30086 | PEBP1 | no
P30740 | ILEU | no
P31151 | S10A7 | no
P31947 | 1433S | no
P37802 | TAGL2 | no
P60709 | ACTB | no
P62937 | PPIA | no
P68871 | HBB | no
P69905 | HBA | no | y
Q01469 | FABP5 | no
Q8NBJ4 | GOLM1 | no
Q96DA0 | ZG16B | no
Q9UBC9 | SPRR3 | no
Q9UBX7 | KLK11 | no
[NAME] | A2ML1 | YES | y
P01034 | CYTC | YES | y
P01036 | CYTS | YES | y
P01037 | CYTN | YES | y
P01833 | PIGR | YES | y
P02768 | ALBU | YES | y
P02787 | TRFE | YES | y
P02810 | PRPC | YES | y
P04280 | PRP1 | YES | y
P04745 | AMY1 | YES | y
P06870 | KLK1 | YES | y
P09228 | CYTT | YES | y
P10163 | PRB4 | YES | y
P12273 | PIP | YES | y
P22079 | LPO | YES | y
P23280 | [NAME] | YES | y
P28325 | CYTD | YES | y
P31025 | LCN1 | YES | y
P80303 | NUCB2 | YES | y
Q14508 | WFDC2 | YES | y
Q6P5S2 | CF058 | YES | y
Q8TDL5 | BPIB1 | YES | y
Q96DR5 | BPIA2 | YES | y
P00450 | CERU | YES
P00738 | HPT | YES
P01009 | A1AT | YES
P01033 | TIMP1 | YES
P01591 | IGJ | YES
P02647 | APOA1 | YES
P02675 | FIBB | YES
P02679 | FIBG | YES
P02749 | APOH | YES
P02750 | A2GL | YES
P02766 | TTHY | YES
P02774 | VTDB | YES
P02788 | TRFL | YES
P02808 | STAT | YES
P02814 | SMR3B | YES
P07237 | PDIA1 | YES
P07339 | CATD | YES
P07602 | SAP | YES
P15515 | HIS1 | YES
P16870 | CBPE | YES
P20061 | TCO1 | YES
P25311 | ZA2G | YES
P32926 | DSG3 | YES
P61626 | LYSC | YES
P80188 | NGAL | YES
Q02487 | DSC2 | YES
Q02818 | NUCB1 | YES
Q08380 | LG3BP | YES
Q14515 | SPRL1 | YES
Q6MZM9 | CD040 | YES
Q6PJF2 | Q6PJF2 | YES
Q7Z3Y4 | Q7Z3Y4 | YES
[NAME] | BPIB2 | YES
Q9NQ38 | ISK5 | YES
Q9UGM3 | DMBT1 | YES
Q9Y6R7 | FCGBP | YES
Spreadsheet: 31604d1227546210-help-with-sorting-a-csv-bill-example
Sheet: Sheet1

Acct Nbr | Invc Date | Mobile Nbr | CallSeq | Date | Time | C | D | Orig Place | PR | Called Nbr | Called [NAME] | PR | Duration | Rate | Usage Amt | [NAME] | Call Cost | ACB | ACB - GST | ACB - HST | ACB - PST | PC | M | PktDvol | R | Desc | Event Type | Billed by | Period
12345 | 34567 | 4555551234 | 1 | 45901 | 0.3916666666666667 |  | N | INCOMING |  | 4555551234 | CANDYLAND | AB | 0.5444444444444444 | 0 | 0 | 0 | 0 |  | 0 | 0 | 0 |  | N | 0 | N |  |  |  | Weekday
12345 | 34567 | 4555551234 | 2 | 45901 | 0.5243055555555556 | MsgD | N | INCOMING |  | 4555551234 | CANDYLAND | AB | 0.04166666666666666 | 0 | 0 | 0 | 0 |  | 0 | 0 | 0 |  | N | 0 | N | Message deposit
12345 | 34567 | 4555551235 | 3 | 45901 | 0.6409722222222223 |  | N | INCOMING |  | 4555551235 | CANDYLAND | AB | 0.04166666666666666 | 0 | 0 | 0 | 0 |  | 0 | 0 | 0 |  | N | 0 | N |  |  |  | Weekday
12345 | 34567 | 4555551235 | 4 | 45901 | 0.7709722222222221 |  | N | CANDYLAND |  | 4555551245 | CANDYLAND | AB | 0.07 | 0 | 0 | 0 | 0 |  | 0 | 0 | 0 |  | N | 0 | N |  |  |  | Weekday
Spreadsheet: 476759d1472009185-formula-to-read-a-sheet-structured-as-a-12-month-calendar-index-match
Sheet: 2. SPECIFIC DATE CHANGES

 | Year |  |  |  | Month
 | 2016 |  |  |  | 1
 | SUNDAY | MONDAY | TUESDAY | WEDNESDAY | THURSDAY | FRIDAY | SATURDAY |  | SUNDAY | MONDAY | TUESDAY | WEDNESDAY | THURSDAY | FRIDAY | SATURDAY |  | SUNDAY | MONDAY | TUESDAY | WEDNESDAY | THURSDAY | FRIDAY | SATURDAY
 |  | [NAME]
 | SUNDAY | MONDAY | TUESDAY | WEDNESDAY | THURSDAY | FRIDAY | SATURDAY |  | SUNDAY | MONDAY | TUESDAY | WEDNESDAY | THURSDAY | FRIDAY | SATURDAY |  | SUNDAY | MONDAY | TUESDAY | WEDNESDAY | THURSDAY | FRIDAY | SATURDAY
 | SUNDAY | MONDAY | TUESDAY | WEDNESDAY | THURSDAY | FRIDAY | SATURDAY |  | SUNDAY | MONDAY | TUESDAY | WEDNESDAY | THURSDAY | FRIDAY | SATURDAY |  | SUNDAY | MONDAY | TUESDAY | WEDNESDAY | THURSDAY | FRIDAY | SATURDAY
 | SUNDAY | MONDAY | TUESDAY | WEDNESDAY | THURSDAY | FRIDAY | SATURDAY |  | SUNDAY | MONDAY | TUESDAY | WEDNESDAY | THURSDAY | FRIDAY | SATURDAY |  | SUNDAY | MONDAY | TUESDAY | WEDNESDAY | THURSDAY | FRIDAY | SATURDAY
Spreadsheet: sara_shackleton__36845__Boeing ISDA
Sheet: Boeing Credit Worksheet

ISDA SWAP AGREEMENT INFORMATION SHEET
 |  | ATTORNEY: | [NAME]
DATE: |  | DEAL MAKER: | [NAME]
COUNTERPARTY: | Boeing Company | CONTACT:
ADDRESS: | 7755 East Marginal Way South | TITLE:
 | Seattle Washington 98108 | PHONE:
 |  | FAX:
 |  | Moody's Rating | A1
Incorporation State | Delaware | S&P Rating | AA-
STRUCTURE | COUNTERPARTY | ENA
GUARANTOR (RATING) | NA | Enron Corp. (BBB+Baa1)
LIMIT $ MILLIONS |  | 55MM
Incorporation State
ELEGIBLE SWAP PARTICIPANT
Counterparty
Guarantor | X | X
COLLATERAL  THRESHOLD
 | See Matrix - sheet two | See Matrix - sheet two
Specify Type of Debt:
COLLATERAL TYPE
Letter of Credit | X | X
Cash | X | X
Treasuries/Maturity limit
MINIMUM TRANSFER $ | 1 | 1
COLLATERAL ROUNDING
Delivery Amount | 250000 | 250000
Return Amount | 250000 | 250000
HOLDING and USE OF COLLATERAL
Permitted | X | X
Minimum S & P/Moody's
rating permitted
MATERIAL ADVERSE CHANGE TRIGGERS - if Matrix not applicable
APPLY TO:
-Counterparty | X
-Guarantor |  | X
Debt Ratings Change | X | X
-Below = S&P/Moody's | BBB-/Baa3 | BBB-/Baa3
Financial Covenants
-Funded Debt to Worth
-Minimum Net Worth
-EBITDA/Interest Expense
-Funded Debt / EBITDA
Non-Specific
-Unilateral
Non-Standard Definitions
-Funded Debt
-Net Worth
EVENTS OF DEFAULT
3rd party debt | X | X
-Counterparty ($[NAME]) | 100
-Guarantor ($[NAME]) |  | 100
Change in ownership
SPECIFIED ENTITY
FINANCIAL STATEMENTS
-Standard | X | X
- Request financials on:
CREDIT DECISION: | APPROVED :  X | DECLINED:
OUTSTANDING SWAP TRANSACTIONS: |  | YES: | NO:
ALL SWAPS TO ROLL UP UNDER NEW MASTER: |  | YES: | NO:
CREDIT PROVISIONS OF MASTER TO GOVERN: |  | YES: | NO:
OTHER COMMENTS:
GLOBAL CREDIT:  Please complete the attached form below if the following conditions exist:
A)  No previous guidance limit exists or .....
B)  The proposed contractual limits exceed the existing guidance limits.
CREDIT REVIEW  PREPARED BY: |  | [NAME] | 3-0699
Spreadsheet: 277744d1384421748-combining-lists-with-a-twist-paulmoss
Sheet: Sheet1

1 | AAA001
2 | [NAME]
3 | [NAME]
4 | AAA004
5 | AAA005
Spreadsheet: b2c026e5-98d2-448e-ad42-a363d9b05c6b
Sheet: Sheet1

[NAME] | Unnamed: 1 | Unnamed: 2
Quelle: http://ergebnisse.vimentis.ch/
Frage:
Ausländer und Ausländerinnen, welche länger als 2 Jahre in der [NAME] bleiben möchten, werden verpflichtet, die Sprache des jeweiligen Landesteils zu lernen.
 | [NAME]?
Antwort | Ja | [NAME]
[NAME] | 0.89 | 0.88
Neutral / Weiss nicht | 0.06 | 0.06
[NAME] | 0.04 | 0.05
Angaben zu den [NAME]
Erhebungsjahr | 2011
Stichprobengrösse | 30565
Erhebungszeitraum | 05.11.2011 bis: 30.12.2011
[NAME] | [NAME]
Methodik / Repräsentativität
Um soziodemographische Verzerrungen [NAME], wurden sämtliche [NAME] nach [NAME], Alter, Bildung und Region gemäss der wahren [NAME] älter als 15 Jahre gewichtet. Es bleibt eine psychographische Verzerrung wegen
der [NAME] über das Internet, welche nicht korrigiert [NAME]. Diese Verzerrung wird anhand einzelner [NAME] für jede [NAME] abgeschätzt. Demnach sind [NAME] auf dieser Seite angegebenen [NAME] mit einer
Präzision von &plusmn;2% [NAME].
[NAME] und [NAME] auf dieser Seite dürfen unter Angabe der Quelle weiterverwendet werden.
Spreadsheet: 840899d1693144005-parking-charge-parking-charges
Sheet: data (2)

Date | Parking Ticket No. | Plate Number | In | Out | Regular Rate (1) | Overnight Rate | Regular Rate (2) | Succeeding Amount | Total Hours | Total Amount |  | Criteria | Amount | Notes | TIME | OUT
2023-08-15 00:00:00 | 184364 | FIT222 | 04:00:00 | 06:00:00 |  | 250 |  |  |  |  |  | Vehicle/Motorcycle | 45 | 3 HOURS | 06:01:00 | 22:59:00
2023-08-15 00:00:00 | 184365 | NBX9785 | 21:00:00 | 06:00:00 | 45 | 250 |  |  |  |  |  | Succeeding hour | 10 | 1 HOUR
2023-08-15 00:00:00 | 100677 | ME20008 | 19:00:00 | 08:00:00 | 45 | 250 | 45 | 10 |  |  |  | Overnight Parking | 250 | [NAME] 11:00 PM - 6:00 AM | 23:00:00 | 06:00:00
2023-08-15 00:00:00 | 100780 | MGE206 | 21:00:00 | 10:00:00 | 45 | 250 | 45 | 10 |  |  |  | Lost Ticket | 225 | Plus regular parking rate
2023-08-15 00:00:00 | 100790 | BJB119 | 11:35:00 | 18:35:00 | 45 |  |  | 40 |  |  |  | Unvalidated ticket | 150 | Plus regular parking rate
2023-08-15 00:00:00 | 100612 | MER2572 | 21:00:00 | 07:00:00 | 45 | 250 |  | 10
2023-08-15 00:00:00 | 100633 | MFL3889 | 00:00:00 | 07:00:00 |  | 250 | 45
2023-08-15 00:00:00 | 100632 | MGS8383 | 03:00:00 | 10:00:00 |  | 250 | 45 | 10
2023-08-15 00:00:00 | 100600 | MEX6319 | 14:40:00 | 18:48:00 | 45 |  |  | 10
Spreadsheet: 797091d1663700449-need-formula-to-populate-cell-based-on-most-recent-date-in-a-diff-column-vacation-calculator-may-2022-aug-2024
Sheet: Somer Original

Current Vacation Days as of 5/31/2022
 | 2
Paycheck | Accrual Rate | Used Days | Reason | Vacation Days Left | Sick Days at Start of Year | Sick Days Used | Sick Days Left | Dull Days (Will adjust as sick days are used)
2022-05-31 00:00:00 | 1 |  |  |  | 5
2022-06-15 00:00:00 | 1
2022-06-30 00:00:00 | 1
2022-07-15 00:00:00 | 1
2022-07-29 00:00:00 | 1
2022-08-15 00:00:00 | 1
2022-08-31 00:00:00 | 1
2022-09-15 00:00:00 | 1
2022-09-30 00:00:00 | 1
2022-10-14 00:00:00 | 1
2022-10-31 00:00:00 | 1
2022-11-15 00:00:00 | 1
2022-11-30 00:00:00 | 1
2022-12-15 00:00:00 | 1
2022-12-30 00:00:00 | 1
2023-01-13 00:00:00 | 1 |  |  |  | 5 |  | 5
2023-01-31 00:00:00 | 1
2023-02-15 00:00:00 | 1
2023-02-28 00:00:00 | 1
2023-03-15 00:00:00 | 1
2023-03-31 00:00:00 | 1
2023-04-14 00:00:00 | 1
2023-04-28 00:00:00 | 1
2023-05-15 00:00:00 | 1
2023-05-31 00:00:00 | 1
2023-06-15 00:00:00 | 1
2023-06-30 00:00:00 | 1
2023-07-14 00:00:00 | 1
2023-07-31 00:00:00 | 1
2023-08-15 00:00:00 | 1
2023-08-31 00:00:00 | 1
2023-09-15 00:00:00 | 1
2023-09-29 00:00:00 | 1
2023-10-13 00:00:00 | 1
2023-10-31 00:00:00 | 1
2023-11-15 00:00:00 | 1
2023-11-30 00:00:00 | 1
2023-12-15 00:00:00 | 1
2023-12-29 00:00:00 | 1
2024-01-15 00:00:00 | 1 |  |  |  | 5 |  | 5
2024-01-31 00:00:00 | 1
2024-02-15 00:00:00 | 1
2024-02-29 00:00:00 | 1
2024-03-15 00:00:00 | 1
2024-03-29 00:00:00 | 1
2024-04-15 00:00:00 | 1
2024-04-30 00:00:00 | 1
2024-05-15 00:00:00 | 1
2024-05-31 00:00:00 | 1
2024-06-14 00:00:00 | 1
2024-06-28 00:00:00 | 1
2024-07-15 00:00:00 | 1
2024-07-31 00:00:00 | 1
2024-08-15 00:00:00 | 1
 | Total Dull Time (Calculate at end of year):
Spreadsheet: 831806d1685913399-resetting-cell-to-zero-on-anniversary-date-vacation-pto-tracker-2023-no-names-thunderstorm2011-
Sheet: Part Time

Name | Date of  Hire | Part Time | Today Date | Hours worked | Total service Years | Sick Time | Sick time Used | Sick Time Left | Out of work | Return Date
Employee | 2009-09-17 00:00:00 | 2018-02-20 00:00:00 |  | 24 |  | 40 | 0
Employee | 2015-05-06 00:00:00 | 2015-05-06 00:00:00 |  | 24 |  | 40 | 0
Employee | 2021-06-01 00:00:00 | 2021-06-01 00:00:00 |  | 24 |  | 40 | 0
Employee | 2023-05-08 00:00:00 | 2023-05-08 00:00:00 |  | 36 |  | 40 | 0
Employee | 2023-05-08 00:00:00 | 2023-05-08 00:00:00 |  | 14 |  | 40 | 0
Employee must work one full year before being eligible for vacation time
Spreadsheet: 14538660-3173-4a69-9449-e02b907829ef
Sheet: Sheet1

Table 12--Annual U.S. cotton textile exports, by destination | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5
Region/country | 2009 | 2010 | 2011 | 2012 | 2013
 | 1,000 pounds 1/
North America | 1356760.22 | 1605765.112 | 1646249.908 | 1446117.566 | 1475517.082
Canada | 112927.664 | 111075.831 | 114771.456 | 119262.438 | 131936.126
Costa Rica | 4659.379 | 4631.498 | 3479.647 | 3928.616 | 3123.133
Dominican Republic | 209897.849 | 248181.361 | 332771.895 | 248098.758 | 232863.887
El Salvador | 114885.348 | 95127.771 | 137745.781 | 130710.699 | 127859.958
Guatemala | 42117.305 | 42866.667 | 34958.852 | 30091.144 | 29704.57
Haiti | 6739.748 | 8041.991 | 7242.092 | 8036.373 | 8948.376
Honduras | 510184.446 | 732140.939 | 670135.044 | 574627.278 | 571249.505
Mexico | 330032.585 | 331749.972 | 315928.094 | 300629.233 | 337547.82
Nicaragua | 16774.553 | 22671.468 | 18865.715 | 20802.501 | 21532.534
Panama | 1777 | 2240.42 | 4015.862 | 3393.047 | 3386.521
South America | 32446.212 | 33038.095 | 31489.891 | 36437.95 | 51118.788
Brazil | 5329.158 | 5932.926 | 8309.586 | 5676.359 | 4795.935
Chile | 2589.35 | 5514.507 | 2666.824 | 3211.121 | 3050.64
Colombia | 9865.699 | 7198.378 | 8303.47 | 14515.387 | 26085.509
Peru | 2950.509 | 4949.399 | 2944.434 | 3215.708 | 9972.508
Venezuela | 7895.179 | 5712.718 | 6168.505 | 6023.779 | 3261.718
Europe | 40068.13 | 41538.81 | 41045.755 | 36345.287 | 37365.086
Belgium | 4068.797 | 4776.39 | 4658.542 | 3644.55 | 3079.181
Germany | 7193.362 | 6360.763 | 7190.771 | 5667.158 | 6382.393
Italy | 2181 | 2016.708 | 2272.033 | 2020.721 | 2178.031
Netherlands | 4956.585 | 5421.656 | 4661.768 | 4655.301 | 4390.176
United Kingdom | 10602.711 | 11899.586 | 11748.676 | 11602.726 | 11749.178
Asia | 57521.603 | 87558.621 | 100804.773 | 108757.267 | 164829.288
China | 14821.219 | 39351.147 | 53300.864 | 63211.295 | 121922.061
Hong Kong | 4840.76 | 5569.061 | 5656.396 | 6761.776 | 5856.332
India | 2902.427 | 4141.143 | 3823.53 | 3177.708 | 1891.907
Israel | 2475.806 | 2022.039 | 2460.609 | 2038.25 | 1371.954
Japan | 9310.379 | 9893.36 | 10442.194 | 11044.03 | 11005.391
Singapore | 2286.379 | 2886.313 | 2373.468 | 2434.023 | 2111.554
South Korea | 6748.126 | 10451.588 | 7016.23 | 5630.582 | 6025.349
United Arab Emirates | 3352.943 | 2812.137 | 3025.448 | 3779.601 | 3377.349
Oceania | 7194.512 | 7100.352 | 9581.138 | 8828.059 | 9319.162
Australia | 5629.003 | 5288.074 | 7713.051 | 6933.477 | 7112.195
Africa | 4179 | 4084 | 8305 | 3480 | 3900.977
World 2/ | 1498247.41 | 1779107.942 | 1837476.287 | 1639966.961 | 1742080.926
1/ Raw-fiber equivalent.  2/ Totals may not add due to rounding.
Sources: USDA, Economic Research Service; and U.S. Dept. of Commerce, U.S. Census Bureau.
Last update: 03/12/14.
Spreadsheet: 832480d1686348482-lookup-to-return-values-if-asterix-is-present-test
Sheet: Raw Data

Required? | ID | Fruit | Colour | Day | Date | Yes/No | Time Start | Time End | Name | Address
* | 21321 | apple | blue | Tue | 2023-05-01 00:00:00 | Yes | 09:00:00 | 11:00:00 | [NAME] | 13 Fiddle St, Couch, Italy
 | 21343 | pear | green | Mon | 2023-05-23 00:00:00 | Yes | 11:00:00 | 13:00:00 | [NAME] | 834 Vase Close, Cushion, England
* | 42133 | orange | yellow | Sun | 2023-05-12 00:00:00 | No | 13:00:00 | 15:00:00 | [NAME] | 312 Carpet Road, Furniture, Germany
 | 33213 | grape | pink | Fri | 2023-05-13 00:00:00 | Yes | 09:00:00 | 14:00:00 | [NAME] | 94 Wall Street, Vertical, Austria
* | 12322 | kiwi | orange | Thur | 2023-05-09 00:00:00 | No | 10:00:00 | 15:00:00 | July Jules | 31 Television Road, Watching, England
* | 54324 | mango | red | Sun | 2023-05-22 00:00:00 | No | 11:00:00 | 16:00:00 | [NAME] | 543 Stove Street, Kitchen, Ireland
 | Concatenated Date
 | [NAME]
* | Only rows with * to be copied to "Format Data" tab
 | Not Required
Spreadsheet: 741598d1627190789-how-to-search-a-table-and-produce-results-from-left-and-right-cells-book1
Sheet: Sheet1

 |  | 2021-10-12 00:00:00 | [NAME] | Hull City | 3 | 1
 |  |  |  |  |  |  |  |  | AFC Bournemouth
 |  |  |  |  |  |  |  |  | Barnsley
 |  | Date | Home Team | Away Team | Result |  |  |  | Birmingham City
 |  | 2021-08-11 00:00:00 | AFC Bournemouth | West Bromwich Albion | 3 | 2 |  |  | [NAME]
 |  | 2021-08-12 00:00:00 | [NAME] | Swansea City | 1 | 0 |  |  | Blackpool
 |  | 2021-09-03 00:00:00 | Bristol City | Blackpool | 1 | 2 |  |  | Bristol City
 |  | 2021-09-03 00:00:00 | Cardiff City | Barnsley | 1 | 1 |  |  | Cardiff City
 |  | 2021-09-10 00:00:00 | Derby County | Huddersfield Town | 2 | 0 |  |  | Coventry City
 |  | 2021-10-12 00:00:00 | [NAME] | Peterborough United | 0 | 1 |  |  | Derby County
 |  | 2021-10-12 00:00:00 | [NAME] | Hull City | 3 | 1 |  |  | Fulham
 |  | 2021-10-17 00:00:00 | Queens Park Rangers | Millwall | 1 | 2 |  |  | Huddersfield Town
 |  | 2021-10-18 00:00:00 | Sheffield United | Birmingham City | 2 | 0 |  |  | Hull City
 |  | 2021-11-02 00:00:00 | Stoke City | Reading | 1 | 1 |  |  | [NAME]
 |  | 2021-11-03 00:00:00 | Coventry City | [NAME] | 1 | 1 |  |  | Middlesbrough
 |  | 2021-11-03 00:00:00 | Fulham | Middlesbrough | 0 | 2 |  |  | Millwall
 |  | 2021-11-04 00:00:00 | Barnsley | Coventry City | 1 | 0 |  |  | [NAME]
 |  | 2021-11-11 00:00:00 | Birmingham City | Stoke City | 2 | 1 |  |  | Peterborough United
 |  | 2021-11-12 00:00:00 | Blackpool | Cardiff City | 1 | 1 |  |  | [NAME]
 |  | 2021-11-19 00:00:00 | Huddersfield Town | Fulham | 0 | 2 |  |  | Queens Park Rangers
 |  | 2021-11-20 00:00:00 | Hull City | Queens Park Rangers | 1 | 2 |  |  | Reading
 |  | 2021-11-27 00:00:00 | Middlesbrough | Bristol City | 2 | 1 |  |  | Sheffield United
 |  | 2021-11-28 00:00:00 | Millwall | [NAME] | 1 | 0 |  |  | Stoke City
 |  | 2021-11-28 00:00:00 | [NAME] | AFC Bournemouth | 2 | 0 |  |  | Swansea City
 |  |  |  |  |  |  |  |  | West Bromwich Albion
Spreadsheet: 6c43f5d4-f09f-4bde-a3a8-76941e27217d
Sheet: Sheet1

Battle ID | Date & Time | Side | Victory | Score | Opp. Score | Opp. ID | Opp. Name | Scenario ID | Front | Start Date | End Date | Name EN | Name FR
38750262 | 2013-11-28 22:55:49 | AXIS | 1 | 7 | 1 | 380301 | Alecsander | 7661 | eastern | 1944-02-16 | 1944-02-17 | Breakout to Lisyanka | [NAME]
38750348 | 2013-11-28 23:10:04 | ALLIES | 1 | 7 | 2 | 380301 | Alecsander | 7661 | eastern | 1944-02-16 | 1944-02-17 | Breakout to Lisyanka | [NAME]
38750538 | 2013-11-28 23:26:51 | AXIS | 1 | 6 | 1 | 380301 | Alecsander | 12504 | mediterranean | 1943-11-05 | 1943-11-13 | [NAME] | [NAME]
38750788 | 2013-11-28 23:45:53 | AXIS | 1 | 7 | 3 | 799634 | lucky91 | 7597 | eastern | 1941-10-18 | 1941-10-18 | Gates of Moscow | Aux portes [NAME]
38750988 | 2013-11-29 00:05:03 | ALLIES | 0 | 5 | 7 | 799634 | lucky91 | 7597 | eastern | 1941-10-18 | 1941-10-18 | Gates of Moscow | Aux portes [NAME]
38794551 | 2013-12-02 00:08:13 | AXIS | 1 | 6 | 3 | 1454377 | Engueyrrand | 6749 | western | 1944-06-06 | 1944-06-06 | [NAME] | [NAME]
38794784 | 2013-12-02 00:24:17 | ALLIES | 1 | 6 | 2 | 1454377 | Engueyrrand | 6749 | western | 1944-06-06 | 1944-06-06 | [NAME] | [NAME]
38847107 | 2013-12-05 20:40:30 | AXIS | 1 | 4 | 2 | 1453397 | Raoul35 | 6161 | western | 1944-06-10 | 1944-06-10 | Mont Mouchet | Mont Mouchet
38847261 | 2013-12-05 20:56:43 | ALLIES | 1 | 4 | 2 | 1453397 | Raoul35 | 6161 | western | 1944-06-10 | 1944-06-10 | Mont Mouchet | Mont Mouchet
Spreadsheet: 1f6c4a21-8976-421a-b9b4-99d28b747486
Sheet: Sheet1

Representative in Congress (North Dakota) | Unnamed: 1 | Unnamed: 2 | Unnamed: 3
Downloaded at 6/19/2013 11:12:51 AM
Precincts Reporting: 607/607 - Total Ballots Cast: 316016
2004 General Election - OFFICIAL RESULTS
Precinct | [NAME] | [NAME] | TOTALS
Precinct 3901 | 99 | 64 | 163
Precinct 3902 | 164 | 133 | 297
Precinct 3903 | 70 | 30 | 100
TOTAL | 333 | 227 | 560
Results provided by the Office of North Dakota Secretary of State
Spreadsheet: 826550d1682077948-map-a-table-kg-to-g-map-kg-to-g
Sheet: prices (2)

id | qty | expected_result | current_result
Al-100 | 50 | 1165 |  |  |  |  |  |  |  |  |  | Al-100 | 2023-04-17 00:00:00 | 30 | g | 1165 | USD
Al-100 | 100 | 1165 |  | 1165 |  |  |  |  |  |  |  | Al-100 | 2023-04-17 00:00:00 | 1000 | g | 922 | USD
[NAME] | 250 | 1200 |  | 1200 |  |  |  |  |  |  |  | [NAME] | 2023-04-17 00:00:00 | 30 | g | 1500 | USD
[NAME] | 500 | 1100 |  | 1100 |  |  |  |  |  |  |  | [NAME] | 2023-04-17 00:00:00 | 500 | g | 1100 | USD
[NAME] | 1000 | 865 |  | 865 |  |  |  |  |  |  |  | [NAME] | 2023-04-17 00:00:00 | 1000 | g | 865 | USD
Al-102 | 50 | 1000 |  | 1000 |  |  |  |  |  |  |  | Al-102 | 2023-04-17 00:00:00 | 30 | g | 1000 | USD
Al-102 | 100 | 1000 |  | 1000 |  |  |  |  |  |  |  | Al-102 | 2023-04-17 00:00:00 | 1000 | g | 830 | USD
Al-103 | 250 | 940 |  | 940 |  |  |  |  |  |  |  | Al-103 | 2023-04-17 00:00:00 | 30 | g | 940 | USD
Al-103 | 500 | 940 |  | 940 |  |  |  |  |  |  |  | [NAME] | 2023-04-17 00:00:00 | 100 | g | 1200 | USD
Al-104 | 1000 | 46 |  | 46 |  |  |  |  |  |  |  | Al-104 | 2023-04-17 00:00:00 | 1000 | g | 46 | USD
Al-105 | 50 | 33 |  | 33 |  |  |  |  |  |  |  | Al-105 | 2023-04-17 00:00:00 | 25000 | g | 33 | USD
Al-130 | 100 | 29 |  | 29 |  |  |  |  |  |  |  | Al-130 | 2023-04-17 00:00:00 | 25000 | g | 29 | USD
Al-111 | 250 | 71 |  | 71 |  |  |  |  |  |  |  | Al-111 | 2023-04-17 00:00:00 | 1000 | g | 71 | USD
Al-112 | 500 | 39 |  | 39 |  |  |  |  |  |  |  | Al-112 | 2023-04-17 00:00:00 | 1000 | g | 39 | USD
Al-113 | 1000 | 7 |  | 7 |  |  |  |  |  |  |  | AA7075-100 | 2023-04-17 00:00:00 | 500 | g | 130 | USD
Al-113 | 50 | 8 |  | 8 |  |  |  |  |  |  |  | Al-113 | 2023-04-17 00:00:00 | 1000 | g | 7 | USD
AA7075-100 | 100 | 120 |  | 130 |  |  |  |  |  |  |  | AA7075-100 | 2023-04-17 00:00:00 | 1000 | g | 120 | USD
AA7075-101 | 250 | 106 |  | 106 |  |  |  |  |  |  |  | AA7075-101 | 2023-04-17 00:00:00 | 1000 | g | 106 | USD
AA7075-102 | 500 | ALERT |  | ALERT |  |  |  |  |  |  |  | Al-113 | 2023-04-17 00:00:00 | 500 | g | 8 | USD
AA7075-103 | 1000 | ALERT |  | ALERT
AA7075-104 | 50 | ALERT |  | ALERT
Spreadsheet: 164343d1340730219-if-function-sumx
Sheet: Sheet1

 | B | L | D | B | L | D | B | L | D | B | L | D | Total
Person1 | x | x |  |  |  |  | x |  |  | x |  | x
Person2 |  |  |  |  | x
Person3 |  | x |  |  |  |  |  |  |  | x |  | x
Spreadsheet: 677649d1589455758-google-sheets-formatting-a-cell-with-0-00000000-example1701
Sheet: Sheet1

0
1
12
123
1234
12345
123456
1234567
12345678
Spreadsheet: chris_germany__2056__MCV Invoice Analysis 4-29-02
Sheet: Table of Contents

 | Worksheet |  | Description
1 | Invoice Rec |  | Compares what PP has modeled to what the system invoiced.  Also shows what MCV paid, and the amount shortpaid based on the system invoice.
2 | Invoice Rec2 |  | Shows what MCV should have been invoiced for and explains why they short paid.  Needs to have a swing gas amount included
3 | April Deficiency |  | Shows how MCV calcs their LDs for ENE's April non-deliveries in MCV II
4 | Assumptions |  | Shows the volume and price assumptions used for the model on the "Historical Calcs" page
5 | Historical Calcs |  | Shows what MCV should have been billed starting in Jan-01.  It assumes that they take the MDQ each day at each point.
6 | Invoice Analysis |  | This is the information PP was able to glean from historical invoices provided by [NAME].  It looks like we are missing a lot of data.
Spreadsheet: 772588d1647377579-assign-points-in-a-calendar-2022-hourly-calendars-test
Sheet: Calendar

Name | Employee 1 |  |  |  | Payroll ID No. |  |  |  | Status |  |  | Ttl Pts |  |  |  |  |  |  |  | Pay Day | Period End |  |  |  | Holiday
January |  |  |  |  |  |  |  | February |  |  |  |  |  |  |  | March |  |  |  |  |  |  |  | April
Sun | Mon | [NAME] | Wed | Thur | Fri | Sat |  | Sun | Mon | [NAME] | Wed | Thur | Fri | Sat |  | Sun | Mon | [NAME] | Wed | Thur | Fri | Sat |  | Sun | Mon | [NAME] | Wed | Thur | Fri | Sat
 |  |  |  |  |  | 2022-01-01 00:00:00 |  |  |  | 2022-02-01 00:00:00 |  |  |  |  |  |  |  | 2022-03-01 00:00:00 |  |  |  |  |  |  |  |  |  |  | 2022-04-01 00:00:00
May |  |  |  |  |  |  |  | June |  |  |  |  |  |  |  | July |  |  |  |  |  |  |  | August
Sun | Mon | [NAME] | Wed | Thur | Fri | Sat |  | Sun | Mon | [NAME] | Wed | Thur | Fri | Sat |  | Sun | Mon | [NAME] | Wed | Thur | Fri | Sat |  | Sun | Mon | [NAME] | Wed | Thur | Fri | Sat
2022-05-01 00:00:00 |  |  |  |  |  |  |  |  |  |  | 2022-06-01 00:00:00 |  |  |  |  |  |  |  |  |  | 2022-07-01 00:00:00 |  |  |  | 2022-08-01 00:00:00
September |  |  |  |  |  |  |  | October |  |  |  |  |  |  |  | November |  |  |  |  |  |  |  | December
Sun | Mon | [NAME] | Wed | Thur | Fri | Sat |  | Sun | Mon | [NAME] | Wed | Thur | Fri | Sat |  | Sun | Mon | [NAME] | Wed | Thur | Fri | Sat |  | Sun | Mon | [NAME] | Wed | Thur | Fri | Sat
 |  |  |  | 2022-09-01 00:00:00 |  |  |  |  |  |  |  |  |  | 2022-10-01 00:00:00 |  |  |  | 2022-11-01 00:00:00 |  |  |  |  |  |  |  |  |  | 2022-12-01 00:00:00