tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 131a1f59-356e-4752-bbdd-8bb63f80af43
Sheet: Sheet1

Table 1--U.S. rice supply and use  1/ | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7
Item | 2007/08 | 2008/09 | 2009/10 | 2010/11 | 2011/12 | 2012/13 | 2013/14
 |  |  |  |  |  | 2/ | 2/
TOTAL RICE |  |  |  | Million acres
Area:
Planted | 2.761 | 2.995 | 3.135 | 3.636 | 2.689 | 2.699 | 2.47
Harvested | 2.748 | 2.976 | 3.103 | 3.615 | 2.617 | 2.678 | 2.449
 |  |  |  | Pounds per harvested acre
Yield | 7219 | 6846 | 7085 | 6725 | 7067 | 7449 | 7330
 |  |  |  | Million cwt
Beginning stocks | 39.315 | 29.492 | 30.419 | 36.499 | 48.467 | 41.07900000000001 | 32.55799999999999
Production | 198.388 | 203.733 | 219.85 | 243.104 | 184.941 | 199.479 | 179.5
Imports | 23.9 | 19.218 | 19.019 | 18.336 | 19.361 | 21 | 23.5
Total supply | 261.603 | 252.443 | 269.288 | 297.939 | 252.769 | 261.558 | 235.558
Food, industrial,
& residual 3/ | 123.152 | 123.77 | 120.012 | 133.191 | 106.77
Seed | 3.697 | 3.87 | 4.488 | 3.324 | 3.332
Total domestic use | 126.849 | 127.64 | 124.5 | 136.515 | 110.102 | 120 | 112
Exports | 105.262 | 94.384 | 108.304 | 112.959 | 101.588 | 109 | 95
Rough | 37.663 | 31.633 | 40.351 | 35.146 | 32.72 | 36 | 35
Milled 4/ | 67.599 | 62.751 | 67.953 | 77.813 | 68.868 | 73 | 60
Total use | 232.111 | 222.024 | 232.793 | 249.474 | 211.69 | 229 | 207
Ending stocks | 29.492 | 30.419 | 36.499 | 48.46700000000004 | 41.07900000000001 | 32.55799999999999 | 28.55799999999999
 |  |  |  | Percent
Stocks-to-use ratio | 12.70598980660115 | 13.70077108781033 | 15.67873604446869 | 19.42767582994622 | 19.40526241201758 | 14.21746724890829 | 13.79613526570048
 |  |  |  | $/cwt
Average farm |  |  |  |  |  | 14.80 to | 14.90 to
price 5/ | 12.8 | 16.8 | 14.4 | 12.7 | 14.5 | 15 | 15.9
 |  |  |  | Percent
Average
milling rate | 69.88 | 70.83 | 71.53 | 68.86 | 69.93 | 70 | 70.25
N/A = not available.  1/ August-July market year; rough equivalent.  2/ Projected.  3/ Residual includes unreported
use, processing losses, and estimating errors.  4/  Rough-rice equivalent.  5/ Market-year weighted average.
Source: World Agricultural Supply and Demand Estimates, WAOB, USDA.
Updated July 11, 2013.
Spreadsheet: 152725d1335487585-automatically-transfer-data-from-master-sheet-to-others-example-book-1
Sheet: Wgtn

 | No | Name | Flat | Address | Contact 1 | Contact 2 | CSC | Referred | Assessor | Assess Date | Install Date | Completed | Comments
Wgtn | 1 | Name 38 | Flat 2 | Address Road 1 | 02222253 |  | YES
Wgtn | 2 | Name 39 | Flat 3 | Address Road 2 | 02222254 | 05000007 | YES
Wgtn | 3 | Name 40 | Flat 4 | Address Road 3 | 02222255 | 05000008 | YES
Wgtn | 4 | Name 41 | Flat 5 | Address Road 4 | 02222256 |  | YES
Wgtn | 5 | Name 42 | Flat 6 | Address Road 5 | 02222257 |  | YES
Wgtn | 6 | Name 43 | Flat 7 | Address Road 6 | 02222258 | 05000009 | YES
Wgtn | 7 | Name 44 | Flat 13 | Address Road 7 | 02222259 | 05000010 | YES
Wgtn | 8 | Name 45 | Flat 14 | Address Road 8 | 02222260 |  | YES |  |  |  |  |  | No Record
Wgtn | 9 | Name 46 | Flat 15 | Address Road 9 | 02222261 |  | YES |  |  |  |  |  | No Record
Wgtn | 10 | Name 47 | Flat 16 | Address Road 10 | 02222262 | 05000011 | YES
Wgtn | 11 | Name 48 | Flat 17 | Address Road 11 | 02222263 | 05000012 | YES |  |  |  |  |  | No Record
Wgtn | 12 | Name 49 | Flat 19 | Address Road 12 | 02222264 |  | YES |  |  |  |  |  | No Record
Wgtn | 13 | Name 50 | Flat 20 | Address Road 13 | 02222265 |  | YES
Wgtn | 14 | Name 51 | Flat 22 | Address Road 14 | 02222266 | 05000013 | YES
Wgtn | 15 | Name 52 | Flat 23 | Address Road 15 | 02222267 | 05000014 | YES
Wgtn | 16 | Name 53 | Flat 24 | Address Road 16 | 02222268 |  | YES
Spreadsheet: 775949d1649408521-multiply-one-number-by-lookup-result-vlookup-percentage-aligw
Sheet: Sheet1

Code |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Net total
A |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10
B |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10
C |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10
D |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10
A |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10
B |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10
C |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10
D |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10
E |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10
F |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10
A |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10
B |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10
C |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10
D |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10
E |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10
F |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10
G |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10
H |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10
I |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10
Spreadsheet: 212377d1360109182-how-to-auto-populate-one-cell-based-on-the-selections-of-two-drop-downs-lookup
Sheet: Vlookup data

CustomerID | FirstName | LastName | Street | City | State | ZIP | Phone
1001 | Helen | [NAME] | 123 Maple Street | West Hempstead | NY | 11552 | [PHONE]
1002 | [NAME] | Willis | 425 Cyprus Street | Queen Creek | AZ | 85242 | [PHONE]
1003 | [NAME] | Goldman | 78 West Elm | Mesa | AZ | 85203 | [PHONE]
1004 | [NAME] | Meyers | 29 River Street | Mesa | AZ | 85202 | [PHONE]
1005 | Anna | Billings | 516 E Chessman Ave | Wantaugh | NY | 11793 | [PHONE]
1006 | [NAME] | [NAME] | 256 W Delaware Ave | Island Park | NY | 11558 | [PHONE]
1007 | [NAME] | [NAME] | 1517 [NAME] | Flagstaff | AZ | 86002 | [PHONE]
1008 | Edgar | [NAME] | 636 W Plateau | Blue Island | IL | 60406 | [PHONE]
1009 | [NAME] | [NAME] | 1241 E Orange Drive | New Lenox | IL | 60451 | [PHONE]
1010 | Rose | Callahan | 2363 [NAME] | Trona | CA | 93562 | [PHONE]
1011 | [NAME] | Dedarian | 1752 East Road | Olympia | WA | 98501 | [PHONE]
1012 | [NAME] | Park | 123 E 33rd Street | Lincoln | NE | 68501 | [PHONE]
1013 | [NAME] | [NAME] | 89 Boulder Drive | Oxford | AL | 36203 | [PHONE]
Spreadsheet: 692188d1598160774-extracting-data-from-a-column-into-another-but-sorted-and-with-2-related-cells-next-to-it-book4-reply
Sheet: Sheet2

My Index | Serial Number | Sales
 |  |  |  | In this sheet the Sales column is sorted from low to high and only the related index for each row is inserted/copied in the cells in the same line (before the sales cell)
Spreadsheet: 50956d1250543345-vlookup-putting-all-names-in-order-slash-summer-series-points
Sheet: Each Race Points

Slash Summer Series |  |  |  | Brought to by SpeedWorld Raceway and Hobbies
Expert Calss |  | Race 1 | Race 2 | Race 3 | Race 4 | Race 5 |  | Total Points |  | Best 4 Races Total
Novis Class
Junior Class
If you have any questions please email Todd at [EMAIL]
POINTS SYSTEM
100 - 1st
97 - 2nd
95 - 3rd
94 - 4th
93 - 5th
92 - 6th
91 - 7th
90 - 8th
89 - 9th
88 - 10th
11th on down subtract 1 point after 87 points for each lower finishing position.
EXTRA POINTS
- Each driver in his or her class will receive 1 extra point per entry for that day.
(Example)- If you win and there is 7 entries in your class you will receive your 100 for the win and
7 extra points for a total of 107.
- Top Qualifier in each class will receive 1 extra point.
Spreadsheet: mary_fischer__25606__31Z
Sheet: E1.XLS 

ENRON CORP AND CONSOLIDATED SUBSIDIARIES
COMPANY #  031Z
COMPANY NAME    LINC
ANALYSIS OF A/R - OTHER
FOR THE 6 MONTHS ENDED 6-30-2001
PREPARED BY:  Sonya City
EXTENSION: 3 9690 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | E-1
 |  | 12-31-2000 Balance
 |  | BEGINNING |  | OTHER |  | 03-31-2001 |  | OTHER |  | 06-30-2001 |  | OTHER |  | 09-30-2001 |  | OTHER |  | 12-31-2001
[NAME] |  | BALANCE |  | CHANGES |  | BALANCE |  | CHANGES |  | BALANCE |  | CHANGES |  | BALANCE |  | CHANGES |  | BALANCE
 |  | DR. (CR.) |  | DR. (CR.) |  | DR. (CR.) |  | DR. (CR.) |  | DR. (CR.) |  | DR. (CR.) |  | DR. (CR.) |  | DR. (CR.) |  | DR. (CR.)
(PROVIDE DETAIL OF INDIVDUAL ITEMS
IN EXCESS OF $200,000.)
Accts Receivables - Unconsolidated Assoc Companies:
Remap intra company OOB |  | 0 |  | 9648 |  |  |  | -9648
Total (Hyperion line 0053)
Asset/Expense Accts:  DR/(CR)
Accts Receivables - Other:
Total (Hyperion line 0060)
Asset/Expense Accts:  DR/(CR)
Asset/Expense Accts:  DR/(CR)
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | E-1
Spreadsheet: 0c6e05c7-0246-4982-b736-f27e480529d9
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5
 | SCHEDULE OF RESIDENTIAL / NURSING SCHEDULED PAYMENT DATES 2013 - 2014
 | SCHEDULE NO. | INVOICE PERIOD | PROCESSING COMMENCEMENT DATE | PTP RUN | RELEASE
 | 13/01 | 08.04.2013 - 05.05.2013 | 22.04.2013 | 15.4.13        29.4.13 | 19.4.13    3.5.13
 | 13/02 | 06.05.2013 - 02.06.2013 | 20.05.2013 | 13.5.13     28.5.13 | 17.5.13   31.5.13
 | 13/03 | 03.06.2013 - 30.06.2013 | 17.06.2013 | 10.6.13    24.6.13 | 14.6.13    28.6.13
 | 13/04 | 01.07.2013 - 28.07.2013 | 15.07.2013 | 8.7.13    22.7.13 | 12.7.13    26.7.13
 | 13/05 | 29.07.2013 - 25.08.2013 | 12.08.2013 | 5.8.13     19.8.13 | 9.8.13     23.8.13
 | 13/06 | 26.08.2013 - 22.09.2013 | 09.09.2013 | 2.9.13    16.9.13 | 6.9.13     20.9.13
 | 13/07 | 23.09.2013 - 20.10.2013 | 07.10.2013 | 30.9.13    14.10.13 | 4.10.13    18.10.13
 | 13/08 | 21.10.2013 - 17.11.2013 | 04.11.2013 | 28.10.13    11.11.13 | 1.11.13     15.11.13
 | 13/09 | 18.11.2013 - 15.12.2013 | 02.12.2013 | 25.11.13   9.12.13 | 29.11.13    13.12.13
 | 13/10 | 16.12.2013 - 12.01.2014 | 30.12.2013 | 20.12.13       6.1.14 | 27.12.13                   10.1.14
 | 13/11 | 13.01.2014 - 09.02.2014 | 27.01.2014 | 20.1.14       3.2.14 | 24.1.14                     7.2.14
 | 13/12 | 10.02.2014 - 09.03.2014 | 24.02.2014 | 17.2.14       3.3.14 | 21.2.14                       7.3.14
 | 13/13 | 10.03.2014 - 09.04.2014 | 24.03.2014 | 17.3.14       31.3.14 | 21.3.14                       4.4.14
 | WHERE INVOICES ARE REQUIRED - THEY MUST BE ISSUED IN LINE WITH THE PERIOD DATES
 | SHOWN ABOVE.
 | Invoice E-mail address : [EMAIL]
 | Telephone enquiries : [PHONE]
 | Fax number : [PHONE]
Spreadsheet: 821858d1678954281-vstack-results-of-indirect-references-from-an-array-indirect_example_1
Sheet: output

 | Note - this part is done differently
 | but I used some VBA code to generatethis
 | Sheet# | SheetName | IsData? | Start Row | Start Column | # Columns
 |  | setup |  | 4 | 2
 |  | [NAME]
 |  | data2
 |  | data3
 |  | output |  |  |  |  |  | The problem is that the below "VSTACKS" are formed by manually referencing I6, I7, I8…etc.
 |  |  |  |  |  |  |  |  | [NAME] | amount | account
Spreadsheet: 725705d1616798756-how-to-pull-all-rows-of-data-where-specific-value-is-found-in-a-column-exampleexcelsheet
Sheet: Mike

 |  |  |  |  |  |  | Red | Burger | Catcher and the Rye | PA | 10 | [NAME]
 |  |  |  |  |  |  | Blue | Burger | Catcher and the Rye | NY | 10 | [NAME]
 |  |  |  |  |  |  | Purple | Burger | Catcher and the Rye | NY | 10 | [NAME]
 |  |  |  |  |  |  | Purple | [NAME] | Catcher and the Rye | OH | 2 | [NAME]
 |  |  |  |  |  |  | [NAME] | Quesadilla | Old School | OH | 495 | [NAME]
 |  |  |  |  |  |  | Blue | Burger | 1984 | PA | 4 | [NAME]
 |  |  |  |  |  |  | Red | Burger | 1984 | FL | 3 | [NAME]
 |  |  |  |  |  |  | Red | Burger | Catcher and the Rye | GA | 4 | [NAME]
 |  |  |  |  |  |  | Blue | Quesadilla | 1984 | OH | 2 | [NAME]
 |  |  |  |  |  |  | Magenta | Burger | Catcher and the Rye | OH | 5 | [NAME]
 |  |  |  |  |  |  | Red | Quesadilla | Catcher and the Rye | NJ | 4 | [NAME]
Spreadsheet: b3b047cb-104e-4889-99ba-3645c910f89b
Sheet: Sheet10

Rb | Id narudžbine | Katalog | Kataloški broj | Opis dobra | [NAME] | [NAME] | Ukupna cena | Naziv institucije - mesto isporuke | Adresa - mesto isporuke | Primalac isporuke | [NAME]
1 | 42325 | ELITech Group | #MODEL5600XR | Vapro pressure osmometer - za merenja osmolalnosti i preko 3200 mmol/kg (EUR) | 1 |  |  | Tehnološki fakultet u Novom Sadu | Булевар Цара Лазара 1 Нови Сад | [NAME] | [EMAIL]
Spreadsheet: 160105d1338975443-counting-cells-formatted-with-fill-color-colours
Sheet: Sheet1

numbers | text or numbers | count just colours | helper
1 | martin 1 |  | 1
2 | [NAME] |  | 1
3 | [NAME] |  | 1
4 | [NAME] |  | 1
5 | martin 5 |  | 1
6 | [NAME] |  | 1
7 | 100 |  | 1
8 | 101 |  | 1
9 | 102 |  | 1
10 | 103 |  | 1
11 | 104 |  | 1
12 | 105 |  | 1
13 | 106 |  | 1
Spreadsheet: 58360d1258630083-excel-2007-multi-level-match-function-book2
Sheet: sheet1

 | JANUARY |  |  |  |  |  |  | FEBRUARY
 | REVENUE |  | EXPENSES |  | NET PROFIT |  |  | REVENUE |  | EXPENSES |  | NET PROFIT
Particulars | Budget | Actual | Budget | Actual | Budget | Actual | [NAME] | Budget | Actual | Budget | Actual | Budget | Actual | [NAME]
Department
Admin. | 100000 | 110000 | 50000 | 70000 | 50000 | 40000 | -10000 | 200000 | 210000 | 150000 | 180000 | 50000 | 30000 | -20000
IT | 150000 | 170000 | 100000 | 120000 | 50000 | 50000 | 0 | 250000 | 270000 | 200000 | 200000 | 50000 | 70000 | 20000
Accounting | 200000 | 230000 | 150000 | 170000 | 50000 | 60000 | 10000 | 300000 | 330000 | 250000 | 220000 | 50000 | 110000 | 60000
Sales | 250000 | 290000 | 200000 | 220000 | 50000 | 70000 | 20000 | 350000 | 390000 | 300000 | 240000 | 50000 | 150000 | 100000
Services | 300000 | 350000 | 250000 | 270000 | 50000 | 80000 | 30000 | 400000 | 450000 | 350000 | 260000 | 50000 | 190000 | 140000
Total | 1000000 | 1150000 | 750000 | 850000 | 250000 | 300000 | 50000 | 1500000 | 1650000 | 1250000 | 1100000 | 250000 | 550000 | 300000
 | FEBRUARY
 | REVENUE |  | EXPENSES |  | NET PROFIT
Particulars | Budget | Actual | Budget | Actual | Budget | Actual | [NAME]
Department
Admin. | 200000 | 210000 | 150000 | 30000 | 50000 | 180000 | 130000
IT | 250000 | 270000 | 200000 | 70000 | 50000 | 200000 | 150000
Accounting | 300000 | 330000 | 250000 | 110000 | 50000 | 220000 | 170000
Sales | 350000 | 390000 | 300000 | 150000 | 50000 | 240000 | 190000
Services | 400000 | 450000 | 350000 | 190000 | 50000 | 260000 | 210000
Total | 1500000 | 1650000 | 1250000 | 550000 | 250000 | 1100000 | 850000
Spreadsheet: sally_beck__35542__OPD Critical Info
Sheet: Sheet1

GAS ORIGINATIONS DATA SHEET FOR GLOBAL RISK OPERATIONS SUPPORT
 | Internal (to apply Energy Ops Services to Structured Transactions)
* | # Transactions - Physical or Financial?
* | Region -West, East, Central, TX
* | Product Volume
* | Term of Deal - # Months,  # Years??
* | Difficulty of Deal - wellhead deal, strictly marketing product??
* | Enron managing risk?? - Daily reporting requirements
* | Activities to be performed regularly - initial setup of contracts/facilities vs ongoing efforts-Logisitics, [NAME], etc.
* | # [NAME]??
* | Will deal fit into current portfolio structure or require new DPR reporting?
* | Any Special Reporting requirements?
 | External (for Commercialization of Energy Ops Services)
 | General Information Needed:
* | Processes to be outsourced (as broken out below)
* | Direction of business - Expected growth/slowdown
* | Status of Current Systems - manual vs automated processes - what is investment in current system (i.e. % capitalized vs expensed)
 |  |  | ** Part of all processes
 | Process Specific Information Needed: |  |  |  |  | Confirmations | Logistics | Settlements | Volume Mgmt
 | # Transactions - Physical/Financial? And % split |  | X | X | X | X | X | X | X
 | Term of Deals - Spot vs Term |  | X |  |  | X
 | Product Volume |  |  |  |  |  | X |  | X
 | # Counterparties |  |  | X | X |  |  | X
 | How often settled - daily, weekly, monthly? |  |  |  | X |  |  | X
 | Net counterparty AR/AP invoices? |  |  |  | X |  |  | X
 | Special Invoicing Requirements? |  |  |  | X |  |  | X
 | Special Governmental Reporting Requirements? |  |  | X |  |  | X |  | X
 | How many people currently doing each function - Logistics, Settlements, Volume Mgmt, Confirmations |  | X | X | X | X | X | X | X
 | Pipelines product moved on? |  |  | X |  |  | X |  | X
 | Pricing Structure - % of deals fixed vs formula |  |  |  | X |  |  | X
 | % Use of external brokers |  | X |  | X | X |  | X
 | ** Currently, Risk Management is not being included in the commercialization project but may be looked at on a case-by-case basis
Spreadsheet: 673211d1587252740-help-creating-a-function-with-indirect-ref-bill-032220
Sheet: bbb

Date | Asset | Amount | Cost | Color | Place
2020-02-03 00:00:00 | bb | 11 | 2 | r | x
2020-02-03 00:00:00 | bf | 12 | 4 | b | y
2020-02-04 00:00:00 | bc | 13 | 3 | g | z
2020-02-03 00:00:00 | be | 14 | 1 | v | p
Spreadsheet: 93727d1293485532-sorting-messes-up-cell-references-sample-for-sorting-problem
Sheet: Sheet2

Source Data
Company | 2008 | 2009 | 2010
a | 4300 | 5600
b | 3450
c | 950 | 1010 | 1200
d | 856 | 1312
e | 756 | 1313
Spreadsheet: john_arnold__15490__NFL'2001
Sheet: Position

 |  | Bid | Ask | M2M | Pos | P/L | WA | W | L |  | Bid | Ask | M2M | Pos | P/L | WA | W | L
 | AFC EASTERN |  |  |  |  |  |  |  |  | NFC EASTERN
 | Jets | 0 | 0 |  |  |  |  | 0 | 1 | Dallas | 0 | 0 |  |  |  |  | 0 | 1
 | Buffalo | 0 | 0 |  |  |  |  | 0 | 1 | Arizona | 0 | 0 |  |  |  |  | 0 | 0
 | Miami | 0.75 | 1.25 |  |  |  |  | 1 | 0 | Giants | 0.25 | 0.75 |  |  |  |  | 0 | 1
 | Pats | 0 | 0 |  |  |  |  | 0 | 1 | Washington | 0 | 0.25 |  |  |  |  | 0 | 1
 | Indianapolis | 2.5 | 3 |  |  |  |  | 1 | 0 | Philadelphia | 1 | 1.25 |  |  |  |  | 0 | 1
 | AFC CENTRAL |  |  |  |  |  |  |  |  | NFC CENTRAL
 | Jacksonville | 0.25 | 0.75 |  |  |  |  | 1 | 0 | Minnesota | 0.7 | 0.7 |  |  |  |  | 0 | 1
 | Tennessee | 1.5 | 1.75 |  |  |  |  | 0 | 1 | Packers | 1 | 1.25 |  |  |  |  | 1 | 0
 | Pittsburgh | 0 | 0 |  |  |  |  | 0 | 1 | Bucks | 3 | 3.5 |  |  |  |  | 1 | 0
 | Baltimore | 3.75 | 4 |  |  |  |  | 1 | 0 | Detroit | 0 | 0 |  |  |  |  | 0 | 1
 | Cincinnati | 0 | 0 |  |  |  |  | 1 | 0 | Chicago | 0 | 0 |  |  |  |  | 0 | 1
 | Cleveland | 0 | 0 |  |  |  |  | 0 | 1 | NFC WESTERN
 | AFC WESTERN |  |  |  |  |  |  |  |  | Atlanta | 0 | 0 |  |  |  |  | 0 | 1
 | Denver | 3.25 | 3.75 |  |  |  |  | 1 | 0 | Niners | 0 | 0 |  |  |  |  | 1 | 0
 | Oakland | 3 | 3.5 |  |  |  |  | 1 | 0 | Saints | 1.75 | 2.25 |  |  |  |  | 1 | 0
 | Seattle | 0 | 0 |  |  |  |  | 1 | 0 | Carolina | 0 | 0 |  |  |  |  | 1 | 0
 | Chiefs | 0 | 0 |  |  |  |  | 0 | 1 | [NAME] | 4.5 | 5 |  |  |  |  | 1 | 0
 | Chargers | 0.15 | 0.25 |  |  |  |  | 1 | 0
 |  | Bid | Ask | M2M | P/L
 | AFC
 | NFC |  |  |  |  |  |  |  | Wins Bets
 | Total M2M |  |  |  |  |  |  |  | Premium
Spreadsheet: 136035d1326379581-how-to-automatically-refresh-filter-by-data-shange-translated-workbook
Sheet: bendra

Klasė | Mokinių skaičius |  |  |  |  | 9-10 balai |  |  |  | 7-8 balai |  |  |  | 6-4 balai |  |  |  |  | 1-3 balai |  |  |  |  | Neatestuota
5
6
7
8
9
10
11
12
Iš viso mokinių:
Spreadsheet: 275797d1383649897-permutation-combination-copy-of-sample-copy
Sheet: Variables

 | Variables | [NAME] |  |  | Gender |  |  | Education |  |  | Income |  |  | Employment Type |  |  | Employer Type |  |  | [NAME] |  |  | Age |  |  | LOS (in UAE) |  |  | Profession
 | Attributes and their assigned weightages | Single | 7 |  | Female | 15 |  | Professional | 15 |  | <10 | 0 |  | Salaried | 15 |  | Government | 25 |  | < 24 | 25 |  | <28 | 0 |  | <1 | 0 |  | Doctor | 25
 |  | Married | 15 |  | Male | 0 |  | Post Graduate | 13 |  | >=10 and <15 | 14 |  | Self Employed | 8 |  | Quasi Government | 21 |  | >=24 and <36 | 19 |  | >=28 and <33 | 9 |  | >=1 and <3 | 7 |  | Manager | 21
 |  | Others | 0 |  |  |  |  | Graduate | 10 |  | >=15 and <25 | 19 |  | Others | 0 |  | Public Listed | 17 |  | >=36 and <48 | 14 |  | >=33 and <38 | 22 |  | >=3 and <5 | 11 |  | Engineer | 16
 |  |  |  |  |  |  |  | Diploma | 5 |  | >=25 and <40 | 25 |  |  |  |  | Large Private Corporate | 12 |  | > 48 | 0 |  | >=38 and <45 | 25 |  | >=5 and <7 | 17 |  | Teacher | 8
 |  |  |  |  |  |  |  | Others | 0 |  | >=40 and <50 | 39 |  |  |  |  | Others | 0 |  |  |  |  | >=45 and <52 | 18 |  | >=7 and <10 | 21 |  | Others | 0
 |  |  |  |  |  |  |  |  |  |  | >=50 and <60 | 45 |  |  |  |  |  |  |  |  |  |  | > 52 | 9 |  | >10 | 25
 |  |  |  |  |  |  |  |  |  |  | > 60 | 50
 | # of Attributes
 | Total Possible outcomes
Spreadsheet: 267363d1380053340-calculate-points-and-divisions-student-exam-score-sheet-1-
Sheet: Student's Score Sheet

Student | HISTORY | KISWAHIL | ENGLISH | GEOGR | CIVICS | PHYSICS | CHEMISTRY | BIOLOGY | MATHS | Score | Division
[NAME] | a | c | c | b | f | a | d | d | c
ALLY | d | d | b | f | d | c | f | d | f
HAMISI | b | a | d | d | c | b | a | a | d
ASHA | f | c | d | c | b | f | f | d | c
ASHURA | c | c | b | b | a | c | d | c | b
Spreadsheet: 829130d1683944678-need-a-formula-that-looks-up-value-in-different-table-based-on-date-sample27
Sheet: Sheet1

 |  |  | Date | [NAME] |  |  |  |  |  |  | 03 | 04 | 05 | 06 | 07 | Total
 |  |  | 2023-02-23 00:00:00 |  |  |  |  |  |  | Jan
 |  |  | 2023-02-25 00:00:00 |  |  |  |  |  |  | Feb
 |  |  | 2023-02-27 00:00:00 |  |  |  |  |  |  | Mar
 |  |  | 2023-03-02 00:00:00 |  |  |  |  |  |  | Apr
 |  |  | 2023-03-15 00:00:00 |  |  |  |  |  |  | May
 |  |  | 2023-03-16 00:00:00 |  |  |  |  |  |  | Jun
 |  |  | 2023-03-22 00:00:00 |  |  |  |  |  |  | Jul
 |  |  | 2023-04-05 00:00:00 |  |  |  |  |  |  | Aug
 |  |  | 2023-04-11 00:00:00 |  |  |  |  |  |  | Sep
 |  |  |  |  |  |  |  |  |  | Oct
 |  |  |  |  |  |  |  |  |  | Nov
 |  |  |  |  |  |  |  |  |  | Dec
Spreadsheet: 138749d1327878807-categorize-or-sum-multiple-same-text-entires-into-one-along-with-associated-dollar-example-monthly-expenses-tracking-3
Sheet: Personal Property

 | Personal Property
 | 42 In Plasma TV |  | 500
 | electronics |  | 100
 | Den Furniture |  | 75
 | Living Room Furniture |  | 75
 | Piano |  | 200
 | kitchen table |  | 100
 | [NAME]'s bedroom furniture etc |  | 100
 | Computers (3) |  | 100
 | [NAME]'s bedroom furniture |  | 100
 | Office -other electronics |  | 50
 | Laundry room washer/dryer |  | 200
 | [NAME]'s bedroom furniture |  | 25
 | Desk |  | 50
 | stereo |  | 25
 | antique table |  | 250
 | oak file cabinet |  | 50
 | chair |  | 25
 | bed |  | 100
 | books |  | 25
 | Jewlery |  | 1500
 | garage
 | 2006 Ford Taurus |  | 5000
 | 2000 Dodge Caravan |  | 700
 | 2033 [NAME] |  | 8500
 | lawn mower |  | 1000
 | attachments |  | 500
 | trailer |  | 50
 | air compressor |  | 100
 | all tools and equipment |  | 1500
 | shop smith |  | 750
 | 5 bikes |  | 100
 | patio furniture |  | 100
 | boat |  | 500
 | [NAME] |  | 100
 |  |  | 22550
Spreadsheet: 115939d1311369756-organize-data-with-new-headings-automatically-autofillcolumns
Sheet: Sheet1

Oranges | Plums | Cherries | Grapefruit | Apples |  |  |  | New Order |  | Apples | Grapefruit | Oranges | Cherries | Plums
2 | 1 | 55 | 666 | 656 |  |  |  |  |  | Auto fill correct values below
2 | 1 | 55 | 676 | 656
3 | 1 | 5 | 565 | 566
2 | 1 | 5 | 565 | 565
4 | 1 | 55 | 5665 | 566
2 | 1 | 5 | 755 | 565
32 | 1 | 5 | 544 | 555
32 | 1 | 5 | 445 | 555
4 | 1 | 55 | 343 | 555
2 | 11 | 5 | 344 | 556
Spreadsheet: michelle_lokay__26566__imbalsumm0012
Sheet: PG&E

56698
Day | Scheduled | Measured
1 | 275537 | 278613
2 | 262499 | 267365
3 | 278050 | 280155
4 | 284260 | 287502
5 | 281989 | 283106
6 | 279075 | 281215
7 | 278417 | 280191
8 | 281054 | 284340
9 | 278159 | 281600
10 | 281851 | 283836
11 | 281910 | 283570
12 | 281181 | 279878
13 | 284486 | 282009
14 | 285049 | 276496
15 | 281107 | 280750
16 | 273660 | 274748
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
2000-11-30 00:00:00 |  |  | 160058
2000-12-16 00:00:00