tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 819096d1677212687-how-to-return-number-of-quarters-from-start-date-then-return-zero-after-end-date-passed-excel-model-date-question
Sheet: Sheet1

 | Start | End |  | 2023-03-31 00:00:00 | 2023-06-30 00:00:00 | 2023-09-30 00:00:00
 | 2023-01-01 00:00:00 | 2023-06-30 00:00:00
 | Start | End |  | 1Q23 | 2Q23 | 3Q23
 | 1Q23 | 3Q23 |  | 1 | 2 | 0
Spreadsheet: 236914d1369059124-find-duplicate-cells-in-column-and-change-value-of-another-cell-pivot-table_1
Sheet: Sheet1

id | item | colour
1245 | book | red
1245 | book | orange
1245 | book | blue |  |  |  | Row Labels | item | colour
1456 | chair | red |  |  |  | 1245 | book | blue
1367 | chair | green |  |  |  |  |  | orange
1876 | table | white |  |  |  |  |  | red
1876 | table | [NAME] |  |  |  | 1367 | chair | green
 |  |  |  |  |  | 1456 | chair | red
 |  |  |  |  |  | 1876 | table | [NAME]
 |  |  |  |  |  |  |  | white
Spreadsheet: 838530d1691094579-average-if-ifs-not-in-a-list-book6
Sheet: Sheet1

Name 1
Name 2 | 21
Name 3
Name 4 | 22
Name 5 | 3
Name 6 | 2
Name 7 | 2
Name 8 | 3
Name 9
Name 10 | 21
Name 11 | 22
Name 12 | 20
Name 13 | 21
Name 14 | 22
Name 15 | 21
Name 16 | 22
Spreadsheet: 780682d1652684486-infill-blank-rows-in-a-list-title-sample-2
Sheet: Sheet1

What I have | Results I am looking for | RESULT
Title 1 | 22 |  | 22
 | 22
 | 22
 | 22
Title 2
Title 3 | 19 |  | 19
Title 4
Title 5 | 17 |  | 17
 | 17
 | 17
 | 17
Title 6
Spreadsheet: 143818d1330585203-excel-2007-dates-how-a-date-value-in-one-cell-can-derive-its-year-value-from-anther-cell-book1-date-problem
Sheet: Sheet1

Variables | 2003 | W.Score | 2004 | W.Score | 2005 | W.Score | 2006 | W.Score | 2007 | W.Score | 2008 | W.Score | 2009 | W.Score | 2010
Total No. of Directors (Board Size)
No. of Executive Directors
No. of Non.Executive Directors
No. of iNEDs
% of iNEDs on the Board
Accounting Year End | 2003-06-30 00:00:00 |  | 2003-06-30 00:00:00 |  | 2003-06-30 00:00:00 |  | 2003-06-30 00:00:00 |  | 2003-06-30 00:00:00 |  | 2003-06-30 00:00:00 |  | 2003-06-30 00:00:00 |  | 2003-06-30 00:00:00
Date of Annual General Meeting | 2003-10-28 00:00:00 |  | 2003-10-28 00:00:00 |  | 2003-10-28 00:00:00 |  | 2003-10-28 00:00:00 |  | 2003-10-28 00:00:00 |  | 2003-10-28 00:00:00 |  | 2003-10-28 00:00:00 |  | 2003-10-28 00:00:00
No. of Days to AGM
Spreadsheet: 808400d1670439895-formula-to-look-in-a-number-column-and-find-a-certain-type-of-number-s666-pq-formula-to-look-in-a-number-column-and-find-a-certain-type-of-number
Sheet: Sheet1

Company | Total
Company01 | 1171
Company02 | 1490
Company03 | 1649
Company04 | 1451
Company05 | 1620
Company06 | 760
Company07 | 912
Company08 | 974
Company09 | 663
Company10 | 1260
Spreadsheet: 755351d1636804491-averaging-only-some-data-in-a-row-of-cells-golf-group-spreadsheet
Sheet: Stableford Work Sheet

 |  | TARGET | TEAM #1
 |  |  |  |  |  |  | Target | NAME
 |  |  | TOTAL
 |  | TARGET | TEAM #2
 |  |  | TOTAL
 |  | TARGET | TEAM #3
 |  |  | TOTAL
 |  | TARGET | TEAM #4
 |  |  | TOTAL
 |  | TARGET | TEAM #5
 |  |  | TOTAL
 |  | TARGET | TEAM #6
 |  |  | TOTAL
Spreadsheet: 09c15591-0197-4d21-bc2a-ac9f10f7527a
Sheet: estructura de cálculo

[NAME] porcentual [NAME] población: | % | Población total | Población objeto de la Ley* | [NAME] objeto de la Ley (46% del total [NAME]) | Población Rural objeto de la Ley (54% del total [NAME])
Población total |  | 14017057
Niños y niñas menores de 1 año | 0.02729181245626312
Niños y [NAME] a menores de 2 años | 0.03166550034989503
Niños y [NAME] a menores de 5 años | 0.09814555633310007
Niños y [NAME] a menores de 5 años
Niños y niñas menores de 5 años | 0.1571028691392582
Niños en edad escolar (5 a 14 años) | 0.2713
Adolescentes (15 a 18 años) | 0.0923
Adultos (14 a 54) | 0.48
Adultos hombres (14 a 54)
Adultos mujeres (14 a 54)
Adultos mayores (54 a … ) | 0.09
Adultos mayores hombres (54 a….) | 0.045
Adultos mayores mujeres (54 a….) | 0.045
Mujeres en [NAME] (10 a 54 años) (REVISAR)
Embarazos esperados | 0.023
Casos esperados de diabetes mielitus ( a partir [NAME] en una población, en este caso guatemala) (REVISAR) |  |  |  |  |  | Un estudio realizado en 2002 en la zona [NAME] ([NAME]) halló una prevalencia de diabetes de 8,4% en ambos sexos y en grupos de población mayor [NAME] años.
Casos esperados de hipertensión arterial
Casos esperados EPOC
Casos esperados de artritis cronica
Casos de VIH SIDA
* No incluye el 17% cubierto por el IGSS  y el 10% cubierto por prestadores privados
** Para el caso de los niños de 5 a 14 años, adolescnetes de 15 a 18 y mujeres en [NAME] quitará el 10% que es cubierto por prestadores privados
Spreadsheet: 791929d1660662309-calculate-deadline-based-on-production-capacity-prod-cap-deadlines
Sheet: 2.0 (2)

 | project ID |  |  |  |  |  |  |  |  | Standard production capacity |  |  |  |  | Yes
 | words | 1500 | pages | 25 | hours | 3 |  |  |  | 1000 | words take | 1 | h |  | No
 |  |  |  |  |  |  |  |  |  | 2 | pages take | 2 | h
 | Assignment | Priority | Task | Step 1 | Step 2 | Step 3 | Deadline
 | 1 | Yes |  |  |  |  | 2022-08-16 10:00:00
 | 2 | No |  |  |  |  | 2022-08-16 18:00:00 |  |  | Hour range
 | 3 | Yes |  |  |  |  | 2022-08-16 18:00:00 |  |  | from | 08:30:00 | till | 17:00:00
 | 4 |  |  |  |  |  | 2022-08-17 18:00:00
 | 5 |  |  |  |  |  | 2022-08-22 18:00:00
 |  |  |  |  |  |  |  |  |  | time needed for step 2 |  | 3 | h
 |  |  |  |  |  |  |  |  |  | time needed for step 3 |  | 4 | h
Spreadsheet: 679413d1590408696-repost-search-2-columns-for-a-match-xlf-2columnsearch
Sheet: supply

SCAN | [NAME] | PRICE EACH | Qty | Extended Cost | AREA/ UNIT | ITEM NO | Catalog No | DATE/TIME  STAMP
574-EN93 |  |  |  |  |  |  |  | 2020-05-21 10:42:52
173 |  |  | do not populate
174 |  |  |  |  |  |  |  | do not populate
175
574-EN22
Spreadsheet: 863513d1710963264-how-to-count-values-in-columns-when-value-is-not-zero-stop-when-0-and-start-again-when-va-question-excelforum-alternative-solution-
Sheet: Sheet4

DATA:
 | week 1 | week 2 | week 3 | week 4 | week 5 | week 6 | week 7 | week 8 | week 9
Article 1 QTY | 100 | 50 | 0 | 0 | 0 | 0 | 100 | 0 | 0
Article 2 QTY | 30 | 100 | 100 | 25 | 0 | 0 | 100 | 50 | 0
Article 3 QTY | 0 | 25 | 100 | 75 | 0 | 100 | 10 | 0 | 0
FORMULE:
 | week 1 | week 2 | week 3 | week 4 | week 5 | week 6 | week 7 | week 8 | week 9
Article 1 QTY |  | 150 | 0 | 0 | 0 | 0 | 100 | 0 | 0
Article 2 QTY | 0 | 0 | 0 | 255 | 0 | 0 | 0 | 150 | 0
Article 3 QTY | 0 | 0 | 0 | 200 | 0 | 0 | 110 | 0 | 0
Solution 1:
 | week 1 | week 2 | week 3 | week 4 | week 5 | week 6 | week 7 | week 8 | week 9
Article 1 QTY | 150 | 0 | 0 | 0 | 0 | 0 | 100 | 0 | 0
Article 2 QTY | 255 | 0 | 0 | 0 | 0 | 0 | 150 | 0 | 0
Article 3 QTY | 0 | 200 | 0 | 0 | 0 | 0 | 110 | 0 | 0
Solution 2:
 | week 1 | week 2 | week 3 | week 4 | week 5 | week 6 | week 7 | week 8 | week 9
Article 1 QTY | 0 | 150 | 0 | 0 | 0 | 0 | 100 | 0 | 0
Article 2 QTY | 0 | 0 | 255 | 0 | 0 | 0 | 0 | 150 | 0
Article 3 QTY | 0 | 0 | 0 | 200 | 0 | 110 | 0 | 0 | 0
Spreadsheet: 457116d1461210243-finding-where-used-set-meals
Sheet: Sheet1

 | Set A | Set B | Set C |  |  | criteria
Apple | 1 | 0 | 1 |  |  | Coke
[NAME] | 0 | 2 | 1
Chicken | 1 | 0 | 0
Steak | 0 | 1 | 0
Sussage | 0 | 0 | 1
Coke | 0 | 1 | 1
[NAME] | 1 | 0 | 0
Spreadsheet: chris_germany__1824__trans
Sheet: Sheet2

Texas Gas Example
 |  | Texas Gas (TGT) has an interconnect with CNG at Lebanon (TGT Z4, CNG South)
 |  | This point is restricted on CNG, usually you must flow primary at Lebanon on CNG
 |  | to receive your gas.  CNG
 | TGT to CNG
 | Gas Daily TGT SL |  |  |  | 4.85
 | TGT Comm
 | TGT Fuel % |  |  |  | 0.0268
 | Variable
 | Gas Daily CNG South |  |  |  | 5.25
 | TGT delivered to CNG price |  |  |  |  | ($4.85 + $.1681)
 | Difference
 | Demand TGT |  |  |  | 0.06
 | Demand CNG |  |  |  | 0.08
 | Total Demand
 | Homework - for a free pop!!!  Return to [NAME] by 4:15 pm tomorrow.
 | You get it right, I give you 1 free pop.
 | BUT, you get it wrong, I get a free pop.  I also love homemade cookies and [NAME] A!!
 | You are determing the value of some longhaul [NAME] capacity for October.
 | [NAME] (Zone 3) is offered at $5.00
 | [NAME] is bid at $5.50
 | Commodity Cost (Z3 - Z6) = $.0465
 | Fuel =  4.72%
Spreadsheet: 731383d1620314486-returing-data-from-a-different-table-book1
Sheet: WHP DATA

 | Go Live 1/3/18 | Referral Type
 | Local London Partnership | EEG | Dis | LTU
 | Barking | 1 | 18 | 0
 | Bexleyheath | 1 | 0 | 0
 | Total
 | Go Live 1/3/18 | Referral Type
 | Central London Forward | EEG | Dis | LTU
 | Barnsbury | 1 | 3 | 2
 | Dalston | 0 | 0 | 0
 | Total
Spreadsheet: 103755d1301477563-make-a-countif-calculation-take-the-data-in-another-column-into-consideration-example_licenses
Sheet: Licenses

License name | Price | Column3
WinWebSvr ALNG LicSAPk MVL 1Proc | 77.62
WinSvrStd ALNG LicSAPk MVL 1Proc | 139.81
WinSvrStd ALNG LicSAPk MVL SAL | 35.2
WinSvrStd ALNG LicSAPk MVL 1Proc Outsrcr | 618.75
WinSvrDataCtr ALNG LicSAPk MVL 1Proc | 636.56
WinSvrEnt ALNG LicSAPk MVL 1Proc Outsrcr | 1412.31
WinSvrEnt ALNG LicSAPk MVL SAL | 60.52
WinSvrEnt ALNG LicSAPk MVL 1Proc | 454.45
FrfrntEndpointPrtcn ALNG LicSAPk MVL | 7.08
OfficeProPlus ALNG LicSAPk MVL SAL | 137.66
[NAME] MVL SAL | 101.02
Excel All Lng Lic/SA Pack MVL SAL | 57.46
WinSBSPremAddOn ALNG LicSAPk MVL SAL | 49.75
ExchgBscSAL ALNG LicSAPk MVL | 4.86
ExchgStdSAL ALNG LicSAPk MVL | 17.13
WinRmtDsktpSrvcsSAL ALNG LicSAPk MVL | 33.8
SQLSvrStd ALNG LicSAPk MVL 1Proc | 2350.33
SQLSvrStd ALNG LicSAPk MVL SAL | 71.33
SQLSvrEnt ALNG LicSAPk MVL 1Proc | 9011.95
SQLSvrEnt ALNG LicSAPk MVL SAL | 136.15
Spreadsheet: 800980d1666020370-populate-names-by-comparing-2-columns-of-numbers-populate-supv-names-2
Sheet: Sheet3

REPORTS TO (USE 4 VISIO) | 2.Employee Full Nm | SUPERVISOR NAME |  |  | REPORTS TO (USE 4 VISIO) | SUPERVISOR NAME
91101432 | Employee 1 | Supervisor 3 |  |  | 91097308 | Supervisor 1
91101432 | Employee 2 |  |  |  | 91097827 | Supervisor 2
91122759 | Employee 3 |  |  |  | 91101432 | Supervisor 3
91246105 | Employee 4 |  |  |  | 91122759 | [NAME]
91223809 | Employee 5 |  |  |  | 91144732 | Supervisor 5
91246105 | VACANT POSITION |  |  |  | 91145020 | Supervisor 6
91187573 | Employee 6 |  |  |  | 91146561 | Supervisor 7
91248925 | Employee 7 |  |  |  | 91147330 | Supervisor 8
91223809 | Employee 8 |  |  |  | 91158235 | Supervisor 9
91122759 | Employee 9 |  |  |  | 91159859 | Supervisor 10
91101432 | Employee 10 |  |  |  | 91178118 | Supervisor 11
91248925 | Employee 11 |  |  |  | 91183151 | Supervisor 12
91246322 | Employee 12 |  |  |  | 91184881 | Supervisor 13
91197749 | Employee 13 |  |  |  | 91185406 | Supervisor 14
91256870 | Employee 14 |  |  |  | 91187573 | Supervisor 15
91232261 | Employee 15 |  |  |  | 91197749 | Supervisor 16
91264092 | Employee 16
91224368 | Employee 17
91329689 | Employee 18
91147330 | Employee 19
91232261 | Employee 20
91185406 | Employee 21
91144732 | Employee 22 |  |  |  | is it possible to fill-in column C by matching Col. A to Col. F and returning the supervisor name to column C?
91101432 | Employee 23
91339470 | Employee 24
91242009 | Employee 25
91256870 | Employee 26
91247077 | Employee 27
91247077 | Employee 28
91339470 | Employee 29
Spreadsheet: 724950d1616456252-index-aggregate-or-match-return-values-from-row-based-on-match-book5
Sheet: Sheet1

 | Component | Component | Component | Box | Label | Bag
Beverage | [Item] Tea | [Item] Juice |  | Box A | [NAME] | Bag S |  |  |  |  | MO-1
Flower | [Item] Tulip |  |  | [NAME] | [NAME] | Bag M |  |  |  |  | MO-1
Furniture | [Item] Table | [Item] Chair | [Item] Couch | Box C | [NAME] | Bag L |  |  |  |  | MO-1
Food | [Item] Bacon | [Item] Egg |  | Box D | [NAME] | Bag XL |  |  |  |  | MO-1
 |  |  |  |  |  |  |  |  |  |  | MO-1
MO-1 | Beverage |  |  |  |  |  |  |  |  |  | MO-1
MO-1 | Food |  |  |  |  |  |  |  |  |  | MO-1
MO-2 | Flower |  |  |  |  |  |  |  |  |  | MO-1
MO-3 | Furniture |  |  |  |  |  |  |  |  |  | MO-1
MO-4 | Food |  |  |  |  |  |  |  |  |  | MO-1
MO-5 | Food |  |  |  |  |  |  |  |  |  | MO-2
 |  |  |  |  |  |  |  |  |  |  | MO-2
 |  |  |  |  |  |  |  |  |  |  | MO-2
 |  |  |  |  |  |  |  |  |  |  | MO-2
 |  |  |  |  |  |  |  |  |  |  | MO-3
 |  |  |  |  |  |  |  |  |  |  | MO-3
 |  |  |  |  |  |  |  |  |  |  | MO-3
 |  |  |  |  |  |  |  |  |  |  | MO-3
 |  |  |  |  |  |  |  |  |  |  | MO-3
 |  |  |  |  |  |  |  |  |  |  | MO-3
 |  |  |  |  |  |  |  |  |  |  | MO-4
 |  |  |  |  |  |  |  |  |  |  | MO-4
 |  |  |  |  |  |  |  |  |  |  | MO-4
 |  |  |  |  |  |  |  |  |  |  | MO-4
 |  |  |  |  |  |  |  |  |  |  | MO-5
 |  |  |  |  |  |  |  |  |  |  | MO-5
 |  |  |  |  |  |  |  |  |  |  | MO-5
 |  |  |  |  |  |  |  |  |  |  | MO-5
 |  |  |  |  |  |  |  |  |  |  | MO-5
Spreadsheet: 841786d1693938463-data-validation-drop-down-list-sample2
Sheet: SheetB

NAME | ID1 | ID2 | ID
Mark | 1276 | 3094 |  | <-- Need Dropdown with IDs from SheetA that match name here
[NAME] | 4529 |  |  | <-- Need Dropdown with IDs from SheetA that match name here
[NAME] | 3466 |  |  | <-- Need Dropdown with IDs from SheetA that match name here
Jake | 6400 | 2847 |  | <-- Need Dropdown with IDs from SheetA that match name here
Mark | 1276 | 3094 |  | <-- Need Dropdown with IDs from SheetA that match name here
Jake | 6400 | 2847 |  | <-- Need Dropdown with IDs from SheetA that match name here
[NAME] | 2830 |  |  | <-- Need Dropdown with IDs from SheetA that match name here
 |  |  | Desired result above
Spreadsheet: 719214d1613561585-return-number-of-out-of-date-training-in-a-month-excel-forum-help-gk-
Sheet: Charts

 |  |  | 22
 |  | Total
 |  | Completed
 |  | Not Completed
 |  |  |  |  |  | OVER DUE
 |  | Over Due
 |  | Due in 1 Month
 |  | Completed
 |  | Total
Spreadsheet: 68058d1268623243-return-sales-for-specified-month-and-department-examples
Sheet: Table

 | Employer
 | No. | Name | Type | 2010-01-01 00:00:00 |  | 2010-02-01 00:00:00 |  | 2010-03-01 00:00:00 |  | 2010-04-01 00:00:00 |  | 2010-05-01 00:00:00 |  | 2010-06-01 00:00:00
 |  |  |  | Sales | [NAME] | Sales | [NAME] | Sales | [NAME] | Sales | [NAME] | Sales | [NAME] | Sales | [NAME]
 | 222 | [NAME] | [NAME] | 1 | 0.5 | 5 | 4 | 6 | 3.5 | 4 | 2 | 3 | 2.5 | 7 | 4
 | 456 | [NAME] | [NAME] | 4 | 3 | 9 | 8 | 5 | 2 | 3 | 2 | 1 | 0.5 | 7 | 3.5
 | 843 | [NAME] | Ladies | 5 | 2.5 | 6 | 2 | 9 | 4 | 8 | 5 | 1 | 0.5 | 3 | 2
 | 359 | [NAME] | [NAME] | 8 | 6 | 7 | 5 | 3 | 2.5 | 5 | 3.5 | 4 | 2.5 | 1 | 0.5
 | 320 | [NAME] | Ladies | 3 | 2 | 4 | 15 | 3 | 1 | 6 | 4.5 | 5 | 2.5 | 4 | 2.5
Spreadsheet: 329704d1404387922-look-up-with-multiple-values-project-hours
Sheet: Sheet1

ID | Name | Project ID | Hours
1111 | Arun | 144451 | ?
1111 | Arun | 144452 | ?
1111 | Arun | 144453 | ?
2222 | Arjun | 1333321 | ?
2222 | Arjun | 1555521 | ?
3333 | Raju | 1777721 | ?
Spreadsheet: 119323d1314313355-how-to-create-macro-buttons-test-macro
Sheet: Sheet1

 | Project Name | Project Type
 | A | New Bank
 | B | ATM
 | C | Renovation
 | D | New Bank
 | E | ATM
 | F | Renovation
 | G | New Bank
 | H | ATM
 | I | Renovation
Spreadsheet: 03356718-47e7-4184-a559-b2adedc2be8b
Sheet: Sheet1

Table 5--U.S. and world fiber prices | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5
 | Jan. | Feb. | Mar. |  | Mar.
Item | 2012 | 2013 | 2013 |  | 2012
 | Cents per pound
Domestic cotton prices:
Adjusted world price | 64.75 | 69 | 72.92 |  | 78.11
Upland spot 41-34 | 73.33 | 76.87 | 82.8 |  | 83.14
Pima spot 03-46 | 107 | 109.05 | 111.65 |  | 129.5
Average price received by
upland producers | 72.2 | 75.3 | 74.6 |  | 90
Far Eastern cotton quotes:
A Index | 85.97 | 89.86 | 94.74 |  | 99.72
Memphis/Eastern | 88.15 | 92.06 | 97.06 |  | 101.9
Memphis/Orleans/Texas | 87.8 | 91.69 | 96.81 |  | 101.55
California/Arizona | 91.4 | 95.31 | 100 |  | 106.1
 |  | Dollars per pound
Wool prices (clean):
U.S. 56s | NQ | NQ | NQ |  | NQ
Australian 56s 1/ | 3.99 | 3.95 | 4 |  | 4.04
U.S. 60s | NQ | NQ | NQ |  | NQ
Australian 60s 1/ | 5.79 | 5.76 | 5.63 |  | 7.72
U.S. 64s | NQ | NQ | NQ |  | NQ
Australian 64s 1/ | 5.87 | 5.86 | 5.84 |  | 6.68
NQ = No quote.
1/  In bond, Charleston, SC.
Sources: USDA, Cotton Price Statistics; Cotlook Ltd., [NAME];
and trade reports.
Last update:  04/12/13.
Spreadsheet: 332777e1-bb19-4181-a206-fa716c785402
Sheet: Labor

Schedule E - Labor Rates
Item # | Item | Year | Engineering | Installer | Technician
 | Hourly Labor Rate | 1 |  |  | 100.02
 |  | 2 |  |  | 101.52
 |  | 3 |  |  | 103.04
 |  | 4 |  |  | 104.59
 |  | 5 |  |  | 106.16
 | Overtime Labor Rate | 1 |  |  | 142.03
 |  | 2 |  |  | 144.16
 |  | 3 |  |  | 146.31
 |  | 4 |  |  | 148.51
 |  | 5 |  |  | 150.75
 | Engineering | 1 | 210.58
 |  | 2 | 213.74
 |  | 3 | 216.94
 |  | 4 | 220.2
 |  | 5 | 223.5
 | Telecommunications Field Service Engineer 1 | 1 | 105.29
 |  | 2 | 106.88
 |  | 3 | 108.48
 |  | 4 | 110.11
 |  | 5 | 111.76
 | Telecommunications Field Service Engineer 2 | 1 | 131.84
 |  | 2 | 133.82
 |  | 3 | 135.82
 |  | 4 | 137.85
 |  | 5 | 139.92
Spreadsheet: 873560d1720060318-contitional-formatting-update-samplecopy2-tmarsh77-
Sheet: Main

Title
Areas | Q No | Question | Response | Outcome | Nos | Comment | Helper1 | Helper2
Service User | 1 | Q1 | No
Equipment - Stedy | 2 | Q2 | Yes
 | 3 | Q3 | Yes
 | 4 | Q4 | Yes
 | 5 | Q5 | Yes
Equipment - Hoist | 6 | Q6 | Yes
 | 7 | Q7 | Yes
 | 8 | Q8 | Yes
Affected service user | 9 | Q9 | Yes
 | 10 | Q10 | Yes
 | 11 | Q11 | No
 | 12 | Q12 | No
Environment | 13 | Q13 | Yes
 | 14 | Q14 | Yes
Training | 15 | Q15 | Yes
Spreadsheet: 131938d1323388667-unit-conversion-spreadsheet-how-to-build-sgc
Sheet: Calculator

 | Specific Gravity Converter
 |  | 1. Chemical: | Polyaluminium Chloride 10%
 |  | 2. Quantity: | 200 | TO
 |  | 4. Conversion: |  | TO |  | SG Factor used:
 |  |  |  | KG
 |  |  |  | L
 | Price Converter (Optional)
 |  | 1. Price: | 1.2 | KG
 |  | 2. Conversion: | 1.2 | $
 | Instructions
 |  | 1. Select the chemical you wish to convert
 |  | 2. Select the quanity needed and units of measurement
 |  | 3. The conversion calculates the quantity in L, KG and TO
 |  | 4. If a price is needed, use the price converter module
 |  | 5. If you have any questions - Email [EMAIL]
Spreadsheet: daren_farmer__6001__WC560reveff061700
Sheet: Sheet1

To:   [NAME]          (Enron)
From: [NAME] ([NAME])
Date:  6/16/00
Subject:  Revised Availabilities Effective 6/17/00
Effective Date | CTP NAME | Gross Vol. (MMBtu/d) | PVR % | PVR Volume | Avail. After PVR (MMBtu/d) | DBQ | Excess
2000-06-16 00:00:00 | WC 560/561 | 856 | 0 |  |  | 0
1st of month DBQ = 0/d
**Intraday Change**
Increase due to [NAME] plant not being able to process gas.
Spreadsheet: 1131d299-e509-418a-a478-a4fcf25903b4
Sheet: Sheet1

Moody's Corporation | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11
Selected Financial Information
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Consolidated Statements of Operations…………………………………………………………...………………………………………………………… |  |  |  |  |  |  |  |  |  |  | 2
Condensed Consolidated Balance Sheets…………………………………………………………………………………………………….. |  |  |  |  |  |  |  |  |  |  | 3
Consolidated Statements of Cash Flows…………………………………………………………...………………………………………………………… |  |  |  |  |  |  |  |  |  |  | 4
Working Capital……..………………………………………………………………………………………………….. |  |  |  |  |  |  |  |  |  |  | 5
Annual Dividends Issued………….……………………………………………………………………………………………… |  |  |  |  |  |  |  |  |  |  | 6
Dividend [NAME]………...………….………………………………………………………………………………………………. |  |  |  |  |  |  |  |  |  |  | 7
Dividend [NAME]………...………….……………………………………………………………………………….. |  |  |  |  |  |  |  |  |  |  | 8
Share Repurchases By Quarter.……...………….……………………………………………………………………………….. |  |  |  |  |  |  |  |  |  |  | 9
Share Repurchases By Year.……...………….……………………………………………………………………………….. |  |  |  |  |  |  |  |  |  |  | 10
Reconciliation of Non-GAAP Cash Flow Financial Measures to GAAP…………......………….……………………………………………………………………………….. |  |  |  |  |  |  |  |  |  |  | 11
Reconciliation of Non-GAAP Earnings per Share Measures to GAAP…………......………….……………………………………………………………………………….. |  |  |  |  |  |  |  |  |  |  | 12
Recurring Revenue…………......………….……………………………………………………………………………….. |  |  |  |  |  |  |  |  |  |  | 13
Spreadsheet: 526198d1499182485-cell-formating-from-another-sheet-nopass
Sheet: Weld Mapped

WELD MAP REPORT
Bead+HP Date | Fill+Cap Date | [NAME] | Coated Date | Station No. | Weld Type | X-Ray No. | Description | Length | Heat No. | Joint No. | [NAME]. | WT (Ex=.250) | Comments
 |  |  |  |  | BUTT |  | Mainline | 62.9 | 701175 | 274 | 16" | 0.375
 |  |  |  |  | BUTT |  | Mainline | 63.8 | 702087 | 499 | 16" | 0.375
 |  |  |  |  | BUTT |  | Mainline | 63.8 | 701194 | 215 | 16" | 0.375
 |  |  |  |  | BUTT |  | Mainline | 41 | 702087 | 640 | 16" | 0.375
 |  |  |  |  | BUTT |  | Mainline | 63.8 | 701194 | 236 | 16" | 0.375
 |  |  |  |  | BUTT |  | Mainline | 62.7 | 701179 | 196 | 16" | 0.375
 |  |  |  |  | BUTT |  | Mainline | 63.8 | 701179 | 177 | 16" | 0.375
 |  |  |  |  | BUTT |  | Mainline | 63.2 | 701194 | 275 | 16" | 0.375
 |  |  |  |  | BUTT |  | Mainline | 63.8 | 701194 | 245 | 16" | 0.375
 |  |  |  |  | BUTT |  | Mainline | 63.8 | 701194 | 237 | 16" | 0.375
 |  |  |  |  | BUTT |  | Mainline | 63.8 | 701179 | 166 | 16" | 0.375
 |  |  |  |  | BUTT |  | Mainline | 63.8 | 701194 | 220 | 16" | 0.375
 |  |  |  |  | BUTT |  | Mainline | 63.8 | 701194 | 235 | 16" | 0.375
 |  |  |  |  | BUTT |  | Mainline | 63.8 | 701194 | 253 | 16" | 0.375
 |  |  |  |  | BUTT |  | Mainline | 63.8 | 701179 | 207 | 16" | 0.375
 |  |  |  |  | BUTT |  | Mainline | 61.7 | 701194 | 238 | 16" | 0.375
 |  |  |  |  | BUTT |  | Mainline | 63.8 | 701194 | 270 | 16" | 0.375
 |  |  |  |  | BUTT |  | Mainline | 63.8 | 701181 | 326 | 16" | 0.375
 |  |  |  |  | BUTT |  | Mainline | 63.8 | 702087 | 498 | 16" | 0.375
 |  |  |  |  | BUTT |  | Mainline | 63.8 | 701179 | 203 | 16" | 0.375
 |  |  |  |  | BUTT |  | Mainline | 63.8 | 701179 | 183 | 16" | 0.375
 |  |  |  |  | BUTT |  | Mainline | 63.8 | 701179 | 186 | 16" | 0.375
 |  |  |  |  | BUTT |  | Mainline | 61.7 | 701189 | 423 | 16" | 0.375
 |  |  |  |  | BUTT |  | Mainline | 62.8 | 701179 | 261 | 16" | 0.375
Spreadsheet: 765503d1643364226-i-want-to-count-the-occurrences-of-unique-values-within-a-group-test_sheet_for_froum
Sheet: Sheet1

 | Group | ID |  |  |  |  |  | Unique values | Count of Unique Values within Group |  |  |  | Oranges | Bananamilk
 | Applejuice | 10 |  |  |  |  |  | 10 |  |  |  | 3 | 2 | 1
 | Applejuice | 11 |  |  |  |  |  | 11 |  |  | 11 | 2 | 0 | 5
 | Applejuice | 12 |  |  |  |  |  | 12 |  |  | 12 | 3 | 2 | 1
 | Applejuice | 12 |  |  |  |  |  | 13 |  |  | 13 | 0 | 2 | 1
 | Applejuice | 12
 | Applejuice | 11
 | Applejuice | 10
 | Applejuice | 10
 | Oranges | 13 |  |  |  |  |  | 10
 | Oranges | 10 |  |  |  |  |  | 11
 | Oranges | 10 |  |  |  |  |  | 12
 | Oranges | 12 |  |  |  |  |  | 13
 | Oranges | 12
 | Oranges | 13
 | Bananamilk | 11 |  |  |  |  |  | 10
 | Bananamilk | 11 |  |  |  |  |  | 11
 | Bananamilk | 11 |  |  |  |  |  | 12
 | Bananamilk | 11 |  |  |  |  |  | 13
 | Bananamilk | 11
 | Bananamilk | 12
 | Bananamilk | 10
 | Bananamilk | 13