tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 94084d1293911383-summery-on-each-change-rqed-output-
Sheet: REQUIRED OUTPUT

NAME | GRADE | ITEM | RATE | BANKER
FORGE INFOSYS | A1 | 200 | 4521 | AMINO AMRO
FORGE INFOSYS | A1 | 60 | 2455 | AMINO AMRO
FORGE INFOSYS | A2 | 20 | 4521 | AMINO AMRO
FRNACIS CEMENT CO | A2 | 30 | 5000 | ROYAL BANK
FRNACIS CEMENT CO | A1 | 180 | 3200 | ROYAL BANK
FRNACIS CEMENT CO | A2 | 100 | 2155 | ROYAL BANK
HIMALYA STEEL CEMENT | A1 | 600 | 3300 | USA BANK
HIMALYA STEEL CEMENT | A3 | 300 | 4000 | USA BANK
ICCHAMANI SUPPLIER | A3 | 100 | 3200 | ROYAL BANK
K K INFOSYS | A1 | 300 | 3000 | ROYAL BANK
K K INFOSYS | A2 | 600 | 4000 | ROYAL BANK
LUKAS STEEL | A1 | 600 | 3000 | USA BANK
Spreadsheet: sara_shackleton__36424__TBVITFund ISDA
Sheet: ANEWSWP2

ISDA SWAP AGREEMENT INFORMATION SHEET
 |  | ATTORNEY:
DATE: |  | DEAL MAKER: | Per Sekse, [PHONE]
COUNTERPARTY: | Tudor BVI Futures, Ltd. | CONTACT:
ADDRESS: |  | TITLE:
 |  | PHONE:
 |  | FAX:
Incorporation State |  | S&P Rating
STRUCTURE | COUNTERPARTY | ECT
GUARANTOR (RATING)
LIMIT $ MILLIONS
Incorporation State
COLLATERAL  THRESHOLD MATRIX in $ MILLIONS
based on S & P and
Moody's ratings | 0 | 0
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
Return Amount
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
-Guarantor
Debt Ratings Change
-Below = S&P/Moody's
Financial Covenants
-Max Liabilities/NAV
-Minimum NAV
-Cash Flow/CMLTD
Non-Specific
-Unilateral
Non-Standard Definitions
-Funded Debt
-Net Worth
EVENTS OF DEFAULT
3rd party debt
-Counterparty ($[NAME]) | 2
-Guarantor ($[NAME]) |  | 100
Change in ownership
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: | Counterparty is hedge fund.
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] | x3-3559
Spreadsheet: 63758d1264624845-solved-vlookup-or-index-function-pe-template
Sheet: TX Hospital Based Input

Provider to be Enrolled:
Practice:
FACILITY NAME
Tax ID |  | Tax ID # | Column A
Practice Locations by CODE:
Workview Assignments Created By:
Template instructions:
Indicate the WV Assignment # as indicated by location once created.
Medicaid Full application required |  |  |  |  | Assignment or Contact Details
Is Medicaid group number linked to Medicare? (Y/N)
Indicate linked Medicare group number to be enrolled to |  | Linked Medicare Number Column P
TMHP Group TPI |  | TMHP # Column J
WV Assignment/Ad Hoc #
Medicaid HMO
[NAME]
WV Assignment/Ad Hoc #
Aetna Medicaid HMO/CHIP
WV Assignment/Ad Hoc #
Superior Medicaid HMO/CHIP
WV Assignment/Ad Hoc #
Full application required
BCBS of TX Par Plan, EPO, POS, PPO, Health Select POS, PPO
Humana
HMO Blue TX
Humana Military
Medicare Part B (if indicated in line 15, enter N/A here)
Profile/LoI Only
[NAME], HMO, Indemnity, POS, PPO
Choice Care Network
Cigna
Fed Med
FirstCare
Galaxy Health
Great West
Healthsmart/NTHN
Humana
IMS
Lumenos
Pacificare
PPO Next
Principal [NAME]
Texas True Choice
Unicare
United Healthcare
Spreadsheet: 164752d1340880183-sum-over-overlapping-arrays-sumoverlappingarrays4-1-
Sheet: Tabelle1

 | Input: Several arrays
Product1 | Period_i | Period_i+1 | Period_i+2
ProdCenterA | 1 | 2 | 4
ProdCenterB | 2 | 2 | 3
ProdCenterC | 3 | 2 | 1
ProdCenterD | 4 | 5 | 1
Product2
ProdCenterA | 3 | 5 | 4
ProdCenterB | 4 | 4 | 8
ProdCenterC | 3 | 1 | 1
ProdCenterD | 1 | 3 | 2
Product3
ProdCenterA | 6 | 4 | 7
ProdCenterB | 8 | 4 | 7
ProdCenterC | 5 | 4 | 5
ProdCenterD | 6 | 7 | 1
 | And the planning table (which says how many of the different tables to insert in each week)
 | [NAME] | Period_2 | Period_3 | Period_4
Product1 | 1
Product2 | 2 | 1
Product3 |  |  | 1 | 2
 | Output I'm looking for: "Overlapping sum of these arrays"
 | [NAME] | Period_2 | Period_3 | Period_4 | Period_5
ProdCenterA | 7 | 15 | 23 | 20 | 15 | 14
ProdCenterB | 10 | 14 | 31 | 28 | 15 | 14
ProdCenterC | 9 | 7 | 9 | 15 | 13 | 10
ProdCenterD | 6 | 12 | 14 | 21 | 15 | 2
Step1 | 7 | 12 | 12 |  |  |  |  | Step 1: select B43:D46 and array-enter the formula you see in B43
 | 10 | 10 | 19
 | 9 | 4 | 3
 | 6 | 11 | 5
[NAME] |  | 3 | 5 | 4 |  |  |  | Step 2: copy B43:D46 and paste in C47
 |  | 4 | 4 | 8
 |  | 3 | 1 | 1
 |  | 1 | 3 | 2
Step3 |  |  | 6 | 4 | 7 |  |  | Step 3: copy C47:E50 and paste in D51
 |  |  | 8 | 4 | 7
 |  |  | 5 | 4 | 5
 |  |  | 6 | 7 | 1
Step4 |  |  |  | 12 | 8 | 14 |  | Step 4: etc..
 |  |  |  | 16 | 8 | 14
 |  |  |  | 10 | 8 | 10
 |  |  |  | 12 | 14 | 2
Step5 | 7 | 15 | 23 | 20 | 15 | 14 |  | step 5: enter formula in B61, drag down and sideways
 | 10 | 14 | 31 | 28 | 15 | 14
 | 9 | 7 | 9 | 15 | 13 | 10
 | 6 | 12 | 14 | 21 | 15 | 2
Spreadsheet: 867414d1714239589-i-am-trying-to-convert-portion-of-pokerstake-file-to-nearly-same-as-pokertake-platform-bookallgames-west123-
Sheet: Sheet1

status | Sum of Combine percentage and value |  |  | Sum of Combine percentage and value | percentage |  |  |  |  | event-name | Sum of Combine percentage and value
Deposit | 6513.14 |  |  | seller-name | - $ | Grand Total |  |  |  | [ Sunday Showdown $105, $500K GTD [Mystery Bounty] ] | -329.63
Act. Withdrawal | -2921.449999999999 |  |  | Magnus Lisberg | -80.85 | -80.85 |  |  |  | Grand Total | -329.63
Grand Total | 3591.690000000001 |  |  | Grand Total | -80.85 | -80.85
Spreadsheet: 167765d1342098131-excel-2007-index-match-formula-but-i-need-the-data-to-change-depening-on-what-date-i-put-in-sample-t
Sheet: Sheet2

Date
2012-07-10 00:00:00 |  | Enter in date and it will transfer the information like grade and [NAME]
 |  | To the columns. ( Grower 3 had no grades so it is empty
 |  | If we change the date to the 11th then only grower 3 would have entries.
[NAME] I used to transfer |  | 1=IF(ROWS($A$5:$A5)>COUNTIF('[2012 Tart Cherry Check Grades.xlsx]Master SC'!$F$6:$F$1000,"Benona Hills Farm Inc"),"",INDEX('[2012 Tart Cherry Check Grades.xlsx]Master SC'!$U$6:$U$1000,SMALL(IF('[2012 Tart Cherry Check Grades.xlsx]Master SC'!$F$6:$F$1000="Benona Hills Farm Inc",ROW('[2012 Tart Cherry Check Grades.xlsx]Master SC'!$F$6:$F$1000)-ROW('[2012 Tart Cherry Check Grades.xlsx]Master SC'!$F$6)+1),ROWS($A$5:$A5))))
but need it to do it by date
also
 |  | Grower 1 grade | Grader |  | Grower 2 Grade | Grader |  | Grower 3 Grade | Grader
 |  | 93 | sg |  | 90 | tg
 |  | 96 | sg |  | 91 | tg
 |  | 89 | sg |  | 89 | tg
 |  | 90 | sg |  | 93 | sg
 |  | 87 | sg |  | 94 | tg
 |  | 86 | sg |  | 99 | sg
 |  | 93 | tg
Spreadsheet: 215911d1361538871-extract-multiples-records-from-adatabase-which-meet-a-specific-condition-excel-forum
Sheet: Target

 |  |  |  |  |  |  |  |  | January | sp
 |  |  | Quotation | January |  |  |  |  | February
 |  |  |  |  |  |  |  |  | March
 |  | No | Product Name / Nome del Prodotto | [NAME] minima ([NAME]) | Price (EUR / kg) |  |  |  | April
 |  |  |  |  |  |  |  |  | May
 |  |  |  |  |  |  |  |  | June
 |  |  |  |  |  |  |  |  | July
 |  |  |  |  |  |  |  |  | August
 |  |  |  |  |  |  |  |  | September
 |  |  |  |  |  |  |  |  | October
 |  |  |  |  |  |  |  |  | November
 |  |  |  |  |  |  |  |  | December
Spreadsheet: 1beb7e97-7052-4ced-95cc-6dbe4954df99
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4
 |  | U.S. Census Bureau
 |  | Source: Quarterly Services Survey
 |  | 51: Information: U.S. Total
 |  | Seasonally Adjusted Total Revenue [Millions of Dollars]
 |  | Period: 2003 to 2012
 |  | Data Extracted on: March 10, 2014 (11:21 pm)
Year | 1st Quarter | 2nd Quarter | 3rd Quarter | 4th Quarter
2003 | X | X | X | 229371
2004 | 229175 | 233474 | 235336 | 238105
2005 | 241837 | 244380 | 247183 | 247443
2006 | 250954 | 254990 | 258328 | 262731
2007 | 263776 | 266272 | 270025 | 272054
2008 | 276013 | 278199 | 280692 | 273583
2009 | 267567 | 267416 | 268461 | 271132
2010 | 273221 | 275247 | 279408 | 281844
2011 | 284136 | 290132 | 292370 | 293684
2012 | 296354 | 298357 | 300019 | 308848
Spreadsheet: d17eb548-b6e7-4f2f-a477-ac672d492547
Sheet: Sheet1

Artist | Title | SubTitle | CatalogNumber | Category | Discs | [NAME] | Label | RetailPrice | UPC
Jimmy Page & The Black Crowes | Live At The Greek | Colored Vinyl | ATVT 2140 | [NAME] | 3 | Pop/Rock | TVT Records | 29.98 | 16581214019
Guided By Voices | Hold On Hope EP |  | ATVT 11986 | [NAME] |  | Pop/Rock | TVT Records | 12.98 | 16581198616
Spreadsheet: 677813d1589539855-conditional-formatting-to-add-borders-and-bold-on-total-row-conditionally-format-with-borders
Sheet: Sheet1

PRODUCT | SALES | COUNTRY | CITY
AAA | 100 | UK | LONDON
BBB | 100 | SPAIN | MADRID
CCC | 100 | FRANCE | PARIS
DDD | 100 | GERMANY | BERLIN
EEE | 100 | PORTUGAL | LISBON
TOTAL
Spreadsheet: 751182d1633957702-year-to-date-sales-computation-assistance-request-ytd-2021-sales
Sheet: Sheet1

channeltype |  | 2021-01-01 00:00:00 | 2021-01-01 00:00:00 | 2021-01-01 00:00:00 | 2021-01-01 00:00:00 | 2021-01-01 00:00:00 | 2021-01-01 00:00:00 | 2021-01-01 00:00:00 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | YTD
 | nsales_dist | A2021 | T2021 | A2020 | A2019 | [NAME] | Grw 2021 vs 2020 % | Grw 2021 vs 2019 % | A2021 | T2021 | A2020 | A2019 | [NAME] | Grw 2021 vs 2020 % | Grw 2021 vs 2019 % | A2021 | T2021 | A2020 | A2019 | [NAME] | Grw 2021 vs 2020 % | Grw 2021 vs 2019 % | A2021 | T2021 | A2020 | A2019 | [NAME] | Grw 2021 vs 2020 % | Grw 2021 vs 2019 % | A2021 | T2021 | A2020 | A2019 | [NAME] | Grw 2021 vs 2020 % | Grw 2021 vs 2019 % | A2021 | T2021 | A2020 | A2019 | [NAME] | Grw 2021 vs 2020 % | Grw 2021 vs 2019 % | A2021 | T2021 | A2020 | A2019 | [NAME] | Grw 2021 vs 2020 % | Grw 2021 vs 2019 % | A2021 | T2021 | A2020 | A2019 | [NAME] | Grw 2021 vs 2020 % | Grw 2021 vs 2019 % | A2021 | T2021 | A2020 | A2019 | [NAME] | Grw 2021 vs 2020 % | Grw 2021 vs 2019 % | A2021 | T2021 | A2020 | A2019 | [NAME] | Grw 2021 vs 2020 % | Grw 2021 vs 2019 % | A2021 | T2021 | A2020 | A2019 | [NAME] | Grw 2021 vs 2020 % | Grw 2021 vs 2019 % | A2021 | T2021 | A2020 | A2019 | [NAME] | Grw 2021 vs 2020 % | Grw 2021 vs 2019 % |  | A2021 | T2021 | A2020 | A2019 | [NAME] | Grw 2021 vs 2020 % | Grw 2021 vs 2019 %
E-Commerce | ECOM | 301669.3 | 123456 | 45178.74 | 0 |  |  |  | 282812.6800000001 | 123456 | 78976.65 | 0 |  |  |  | 418663.86 | 123456 | 22310.5 | 0 |  |  |  |  | 123456 |  |  |  |  |  | 212569.51 | 123456 | 29659.75 | 0 |  |  |  | 284524.51 | 123456 | 254361.34 | 0 |  |  |  | 306306.85 | 123456 | 201183.92 | 0 |  |  |  | 293563.25 | 123456 | 246834.97 | 0 |  |  |  | 450596.47 | 123456 | 283983.34 | 0 |  |  |  | 0 | 123456 | 283139.85 | 7317 |  |  |  | 0 | 123456 | 259730.49 | 161138.4 |  |  |  | 0 | 123456 | 780767.1900000001 | 144500.1
E-Commerce Total | ECOM
Spreadsheet: 21ea6c42-eceb-4fa2-a525-5c6d72d7696d
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11
 | Time Series Workbook
 | 5671.0 Lending Finance, Australia
 | TABLE 3. COMMERCIAL AND LEASE FINANCE COMMITMENTS By Lender: Australia, Original ($000)
Related Information: | Summary Publication | Explanatory Notes | Inquiries
 | Glossary
Data Item Description |  |  | Series Type | Series ID | Series Start | Series End | No. Obs. | Unit | Data Type | [NAME]. | Collection Month
Commercial Finance - Banks ; |  |  | Original | A2413463V | 1985-01-01 00:00:00 | 2009-06-01 00:00:00 | 294 | $'000 | FLOW | Month | 1
Commercial Finance - Money market corporations ; |  |  | Original | A2413464W | 1985-01-01 00:00:00 | 2009-06-01 00:00:00 | 294 | $'000 | FLOW | Month | 1
Commercial Finance - Finance companies ; |  |  | Original | A2413465X | 1985-01-01 00:00:00 | 2009-06-01 00:00:00 | 294 | $'000 | FLOW | Month | 1
Commercial Finance - Other lenders ; |  |  | Original | A2413466A | 1985-01-01 00:00:00 | 2009-06-01 00:00:00 | 294 | $'000 | FLOW | Month | 1
Commercial Finance - Total ; |  |  | Original | A2413467C | 1985-01-01 00:00:00 | 2009-06-01 00:00:00 | 294 | $'000 | FLOW | Month | 1
Lease Finance - Banks ; |  |  | Original | A2413468F | 1985-01-01 00:00:00 | 2009-06-01 00:00:00 | 294 | $'000 | FLOW | Month | 1
Lease Finance - Finance companies ; |  |  | Original | A2413469J | 1985-01-01 00:00:00 | 2009-06-01 00:00:00 | 294 | $'000 | FLOW | Month | 1
Lease Finance - General financiers ; |  |  | Original | A2413470T | 1985-01-01 00:00:00 | 2009-06-01 00:00:00 | 294 | $'000 | FLOW | Month | 1
Lease Finance - Other lessors ; |  |  | Original | A2413471V | 1985-01-01 00:00:00 | 2009-06-01 00:00:00 | 294 | $'000 | FLOW | Month | 1
Lease Finance - Total ; |  |  | Original | A2413472W | 1985-01-01 00:00:00 | 2009-06-01 00:00:00 | 294 | $'000 | FLOW | Month | 1
© Commonwealth of Australia  2009
Spreadsheet: 161230d1339449977-conditional-format-for-lowest-when-there-are-blanks-bobby1949_solution-example
Sheet: Sheet1

 | Week1 | Week2 | Week3 | Week4 | Week5 | Week6 | Week7 | Week8 | Week9 | Week10 | Scores
[NAME] | 15 | 40 |  | 22 | 45 | 88 | 72 | 80 | 60 | 44 |  | Only 9 weeks out of 10 so need 2 low scores
Al | 50 | 48 | 48 | 4 | 9 | 5 | 54 |  |  |  |  | Only 7 weeks out of 10 so need no low scores
[NAME] |  | 73 |  | 67 | 34 | 27 | 20 | 60 | 53 | 51 |  | Only 8 weeks out of 10 so need only 1 low score
[NAME] | 75 | 66 | 67 | 34 | 1 | 77 | 87 | 12 |  | 65 |  | Only 9 weeks out of 10 so need 2 low scores
[NAME] | 27 |  | 28 |  | 78 |  | 58 |  | 86 | 77 |  | Only 6 weeks out of 10 (need minimum 7 so there is no low score)
[NAME] | 64 | 86 | 73 |  | 8 |  | 84 |  |  |  |  | Only 5 weeks out of 10 (need minimum 7 so there is no low score)
[NAME] | 94 | 21 | 89 | 84 | 95 | 8 | 55 | 52 | 74 | 71 |  | 10 weeks out of 10 so need 3 low scores
[NAME] | 78 | 15 | 53 | 91 | 18 | 63 | 87 | 87 | 13 | 52 |  | 10 weeks out of 10 so need 3 low scores
[NAME] | 91 | 85 | 93 | 1 | 43 | 59 | 5 | 91 | 3 | 29 |  | 10 weeks out of 10 so need 3 low scores
[NAME] | 37 | 95 | 10 | 55 | 83 | 100 | 63 | 85 | 47 | 67
[NAME] | 78 | 85 | 31 | 39 | 84 | 61 | 39 | 76 | 42 | 36
Dale | 70 | 66 | 7 | 93 | 19 | 70 | 94 | 59 | 6 | 18
[NAME] | 74 | 15 | 13 | 22 | 62 | 78 | 21 | 61 | 61 | 91
[NAME] | 41 | 1 | 82 | 70 | 29 | 54 | 56 | 23 | 16 | 91
[NAME] | 30 | 13 | 5 | 43 | 87 | 96 | 73 | 86 | 21 | 93
Fred | 63 | 48 | 44 | 30 | 61 | 3 | 94 | 86 | 52 | 12
George | 3 | 73 | 2 | 23 | 15 | 72 | 31 | 89 | 89 | 57
[NAME] | 6 | 3 | 76 | 12 | 15 | 71 | 84 | 47 | 89 | 65
[NAME] | 66 | 90 | 89 | 70 | 79 | 5 | 60 | 2 | 92 | 32
Hal | 27 | 35 | 39 | 7 | 88 | 71 | 15 | 20 | 85 | 64
Hugh | 29 | 10 | 4 | 54 | 65 | 40 | 61 | 91 | 13 | 15
[NAME] | 23 | 49 | 78 | 68 | 6 | 91 | 33 | 3 | 36 | 68
[NAME] | 64 | 34 | 71 | 31 | 65 | 42 | 29 | 73 | 18 | 67
[NAME] | 23 | 56 | 86 | 79 | 92 | 38 | 69 | 91 | 80 | 24
[NAME] | 50 | 37 | 60 | 79 | 38 | 24 | 75 | 96 | 13 | 1
[NAME] | 51 | 74 | 1 | 7 | 94 | 63 | 5 | 41 | 78 | 57
[NAME] | 44 | 31 | 24 | 34 | 44 | 48 | 6 | 12 | 23 | 66
[NAME] | 49 | 51 | 51 | 80 | 76 | 98 | 21 | 38 | 4 | 29
Spreadsheet: 748679d1632288315-statement-by-older-date-to-newer-statment-3_gw
Sheet: Folha1

 |  |  |  |  |  |  |  |  |  |  | FRAÇÃO | B
 | 1 |  |  | BOOKS |  |  |  |  |  |  |  |  |  | DATE | TOTAL PAYMENT | BOOKS | NEWSPAPERS |  |  | DATE | TOTAL PAYMENT | BOOKS | NEWSPAPERS
 | 2 |  |  | BOOKS
 | 3 |  |  | BOOKS |  |  |  |  |  |  | DÍVIDA DE 2020
 | 4 |  |  | BOOKS |  |  |  |  |  |  | Quota Trimestral Ordinária | 0 |  |  |  |  |  |  |  | 2021-01-13 00:00:00 | 240.5 | 198 | 42.5
 | 5 |  |  | BOOKS |  |  |  |  |  |  | Quota Mensal Elevadores | 0 |  |  |  |  |  |  |  | 2021-04-05 00:00:00 | 198 | 198 | ---
 | 6 |  |  | BOOKS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2021-07-05 00:00:00 | 198 | 198 | ---
 | 7 |  |  | BOOKS
 | 8 |  |  | BOOKS |  |  |  |  |  |  | 2021
 | 9 |  |  | BOOKS |  |  |  |  |  |  | Quota Trimestral Ordinária | 0
 | 10 |  |  | BOOKS |  |  |  |  |  |  | Quota Mensal Elevadores | 0
 | 11 |  |  | BOOKS
 | 12 |  |  | BOOKS
 | 13 |  |  | BOOKS
 | 14 |  |  | BOOKS
 | 15 |  |  | BOOKS |  |  |  |  |  |  | DÉBITOS 2021
 | 16 |  |  | BOOKS |  |  |  |  |  |  | Quota Trimestral Ordinária | 0
 | 1 |  |  | NEWSPAPERS |  |  |  |  |  |  | Quota Mensal Elevadores | 0
 | 2 |  |  | NEWSPAPERS
 | 3 |  |  | NEWSPAPERS
 | 4 |  |  | NEWSPAPERS |  |  |  |  |  |  | PAGAMENTOS 2021
 | 5 |  |  | NEWSPAPERS |  |  |  |  |  |  | Quota Trimestral Ordinária | 0
 | 6 |  |  | NEWSPAPERS |  |  |  |  |  |  | Quota Mensal Elevadores | 0
 | 7 |  |  | NEWSPAPERS
 | 8 |  |  | NEWSPAPERS
 | 9 |  |  | NEWSPAPERS |  |  |  |  |  |  | SALDO EM DÍVIDA À DATA DE | 0
 | 10 |  |  | NEWSPAPERS
 | 11 |  |  | NEWSPAPERS
 | 12 |  |  | NEWSPAPERS
 | 13 |  |  | NEWSPAPERS
 | 14 |  |  | NEWSPAPERS
 | 15 |  |  | NEWSPAPERS
 | 16 |  |  | NEWSPAPERS
Spreadsheet: 680243d1590873272-how-to-copy-every-10-rows-from-multiple-sheets-to-one-sheet-rezaworksheet
Sheet: allsheets

 | =====> | sheet1!a1 | what formula should i use in  cell a1 or ( cell a1 to a10), to gives me this pattern (pattern column c) ? (just column A is in real worksheet and column B and C are for better explanation , the solution shouldnt add a column and this sheet must have just one column (column A)   , so i am looking for a formula (or formulas) to use in cell [NAME] (or a1 to a10) and then drag it (them) down
 | =====> | sheet2!a1
 | =====> | sheet3!a1
 | =====> | sheet4!a1
 | =====> | sheet5!a1
 | =====> | sheet6!a1
 | =====> | sheet71!a1
 | =====> | sheet18!a1
 | =====> | sheet9!a1
 | =====> | sheet10!a1
.... | =====> | sheet1!a2
.... | =====> | sheet2!a2
 | =====> | sheet3!a2
 | =====> | sheet4!a2
 | =====> | sheet5!a2
 | =====> | sheet6!a2
 | =====> | sheet7!a2
 | =====> | sheet8!a2
 | =====> | sheet9!a2
 | =====> | sheet10!a2
... | =====> | sheet1!a3
... | =====> | sheet2!a3
... | =====> | sheet3!a3
... | =====> | sheet4!a3
... | =====> | sheet5!a3
... | =====> | sheet6!a3
... | =====> | sheet7!a3
... | =====> | sheet8!a3
... | =====> | sheet9!a3
... | =====> | sheet10!a3
... | =====> | ......
... | =====> | ......
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Spreadsheet: kate_symes__19133__SP 15 pages
Sheet: DJ SP15

 |  |  | Firm | Volume | Firm | Volume | Sun & NERC | Volume
 | DATE |  | On [NAME] | [NAME] | [NAME] | [NAME] | 24 HOUR | [NAME]
 | 2001-04-18 00:00:00 |  | 226.06 | 24784 | 106.19 | 15024
 | 2001-04-17 00:00:00 |  | 226.16 | 22784 | 106.19 | 15024
 | 2001-04-16 00:00:00 |  | 228.61 | 26144 | 118.81 | 10960
 | 2001-04-15 00:00:00 |  |  |  |  |  | 118.69 | 32280
 | 2001-04-14 00:00:00 |  | 156.91 | 19840 | 95.93 | 14120
 | 2001-04-13 00:00:00 |  | 156.91 | 19840 | 95.93 | 14120
 | 2001-04-12 00:00:00 |  | 176.32 | 27632 | 107.12 | 14896
 | 2001-04-11 00:00:00 |  | 178.5 | 21120 | 115.45 | 16912
 | 2001-04-10 00:00:00 |  | 181.91 | 26368 | 109.27 | 11712
 | 2001-04-09 00:00:00 |  | 157.87 | 22000 | 113.76 | 15928
 | 2001-04-08 00:00:00 |  |  |  |  |  | 113.77 | 45888
 | 2001-04-07 00:00:00 |  | 161.06 | 25232 | 100.79 | 16136
 | 2001-04-06 00:00:00 |  | 161.06 | 25232 | 100.79 | 16136
 | 2001-04-05 00:00:00 |  | 224.86 | 22592 | 122.93 | 16784
 | 2001-04-04 00:00:00 |  | 237.5 | 23824 | 129.77 | 12120
 | 2001-04-03 00:00:00 |  | 232.96 | 14960 | 120.77 | 12904
 | 2001-04-02 00:00:00 |  | 224.92 | 23056 | 133.39 | 11728
 | 2001-04-01 00:00:00 |  |  |  |  |  | 133.75 | 35784
 | 2001-03-31 00:00:00 |  | 169.38 | 25360 | 94.21 | 6472
 | 2001-03-30 00:00:00 |  | 169.38 | 25360 | 94.21 | 6472
 | 2001-03-29 00:00:00 |  | 163.49 | 34064 | 92.05 | 9080
 | 2001-03-28 00:00:00 |  | 131.03 | 22992 | 87.22 | 10736
 | 2001-03-27 00:00:00 |  | 120.72 | 26752 | 75.21 | 10280
 | 2001-03-26 00:00:00 |  | 281.51 | 17824 | 146.38 | 12680
 | 2001-03-25 00:00:00 |  |  |  |  |  | 146.56 | 32640
 | 2001-03-24 00:00:00 |  | 237.5 | 15296 | 143.54 | 10280
 | 2001-03-23 00:00:00 |  | 237.5 | 15296 | 143.54 | 10280
 | 2001-03-22 00:00:00 |  | 279.47 | 27312 | 173.78 | 5920
 | 2001-03-21 00:00:00 |  | 395 | 15200 | 222.02 | 8392
 | 2001-03-20 00:00:00 |  | 379.17 | 18400 | 211.59 | 9640
 | 2001-03-19 00:00:00 |  | 313.9 | 18736 | 207.5 | 11648
Spreadsheet: 788386d1658430491-find-particular-value-in-cell-after-a-certain-cell-value-example
Sheet: Rodded

FRL
SALES PER EMPLOYEE
- Factory | -2.437961379310345 | -1.232678571428571 | -3.148943076923078 | -2.682687692307692 | -0.282624 | -2.4243936 | -5.508445 | -0.006135000000000002 | -7.210175 | 1.7466288 | -3.796889999999999 | -1.376235
- Fixed Support | -35.35044 | -17.2575 | -40.93626 | -34.87494 | -3.5328 | -30.30492 | -66.10134 | -0.07362000000000002 | -86.52210000000001 | 21.83286 | -45.56267999999999 | -16.51482
- Total Sales Per Employee | -2.280673548387097 | -1.1505 | -2.924018571428572 | -2.491067142857143 | -0.2616888888888889 | -2.244808888888889 | -5.084718461538461 | -0.005663076923076924 | -6.655546153846155 | 1.617248888888889 | -3.504821538461538 | -1.270370769230769
INVESTMENT
- Depreciation | 6.913789999999999 | 6.91374 | 6.815060000000001 | 6.96769 | 6.96786 | 6.968019999999999 | 6.967569999999999 | 6.96779 | 6.96788 | 6.88034 | 6.88029 | 7.334629999999999
Percent To Sales | -1.173471673902786 | -2.403734028683181 | -0.9988787446630445 | -1.198744427947403 | -11.83400135869565 | -1.379581929270891 | -0.6324443649705134 | -567.8720456397716 | -0.4831977032457603 | 1.890821449869601 | -0.9060428403245815 | -2.664744756527773
- Capital Spending (INPUT DATA) | 0 | 40 | 11 | -29 | 12 | 60 | 26 | -8 | 0 | 0 | 0 | 16