tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 70865d1271610165-voedselgenerator-voedselgenerator-help-
Sheet: invoer extra's

 | invoer extra's
 | wat? |  | invoer |  |  |  |  |  |  | opmerkingen |  |  |  |  |  |  |  | dag 1 | dag 2 | dag 3 | dag 4 | dag 5 | dag 6 | aantal personen
 |  |  | dag 1 | dag 2 | dag 3 | dag 4 | dag 5 | dag 6 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | aanwezig
 | tostie's |  |  |  |  |  |  |  |  | alleen voor volwassenen |  | False | False | False | False | False | False
 | bubbel beleg |  |  |  |  |  |  |  |  | percentage dat dubbel beleg neemt |  | False | False | False | False | False | False
 | frikandellen |  |  |  |  |  |  |  |  |  |  | False | False | False | False | False | False
 | stokbrood |  |  |  |  |  |  |  |  | alleen voor volwassenen |  | False | False | False | False | False | False
 | vuurspuwen |  |  |  |  |  |  |  |  | extra lampenolie |  | False | False | False | False | False | False
 | chips [NAME] |  |  |  |  |  |  |  |  |  |  | False | False | False | False | False | False
 | chips [NAME] |  |  |  |  |  |  |  |  |  |  | False | False | False | False | False | False
 | nootjes |  |  |  |  |  |  |  |  | alleen voor volwassenen |  | False | False | False | False | False | False
 | snoepjes |  |  |  |  |  |  |  |  | 2 snopejes pp |  | False | False | False | False | False | False
 | fruit |  |  |  |  |  |  |  |  | 1 stuk fruit pp |  | False | False | False | False | False | False
 | eieren |  |  |  |  |  |  |  |  | 1 ei pp |  | False | False | False | False | False | False
 | [NAME] eten |  |  |  |  |  |  |  |  |  |  | False | False | False | False | False | False
 | toetje |  |  |  |  |  |  |  |  |  |  | False | False | False | False | False | False
 | koekje |  |  |  |  |  |  |  |  | 1 koekje pp |  | False | False | False | False | False | False
Spreadsheet: 19bbf6d0-4d88-47c1-bcae-b63c7ce8ee90
Sheet: Sheet1

Table 10--Global rice exporters, calendar years; monthly revisions and annual changes | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11 | Unnamed: 12 | Unnamed: 13
 | 2012 |  |  |  | 2013 1/ |  |  |  |  |  | 2014 1/
 | May |  | May | June |  | Monthly | Annual |  | May | June |  | Monthly | Annual
 | 2013 |  | 2013 | 2013 |  | revisions | changes |  | 2013 | 2013 |  | revisions | changes
 |  |  |  |  |  |  | 1,000 metric tons (milled basis)
Argentina | 608 |  | 600 | 600 |  | 0 | -8 |  | 625 | 625 |  | 0 | 25
Australia | 449 |  | 500 | 500 |  | 0 | 51 |  | 520 | 520 |  | 0 | 20
Brazil | 1105 |  | 850 | 850 |  | 0 | -255 |  | 850 | 850 |  | 0 | 0
Burma | 690 |  | 750 | 750 |  | 0 | 60 |  | 750 | 750 |  | 0 | 0
Cambodia | 800 |  | 975 | 975 |  | 0 | 175 |  | 1000 | 1000 |  | 0 | 25
China | 267 |  | 300 | 300 |  | 0 | 33 |  | 200 | 200 |  | 0 | -100
Ecuador | 63 |  | 50 | 50 |  | 0 | -13 |  | 75 | 75 |  | 0 | 25
Egypt | 600 |  | 850 | 850 |  | 0 | 250 |  | 850 | 850 |  | 0 | 0
European Union-27 | 197 |  | 200 | 200 |  | 0 | 3 |  | 200 | 200 |  | 0 | 0
Guinea | 80 |  | 80 | 80 |  | 0 | 0 |  | 80 | 80 |  | 0 | 0
Guyana | 285 |  | 300 | 300 |  | 0 | 15 |  | 325 | 325 |  | 0 | 25
India | 10250 |  | 9000 | 9000 |  | 0 | -1250 |  | 8500 | 8500 |  | 0 | -500
Japan | 200 |  | 200 | 200 |  | 0 | 0 |  | 200 | 200 |  | 0 | 0
Korea, South | 2 |  | 2 | 2 |  | 0 | 0 |  | 2 | 2 |  | 0 | 0
Pakistan | 3399 |  | 3200 | 3200 |  | 0 | -199 |  | 3200 | 3200 |  | 0 | 0
Paraguay | 262 |  | 250 | 250 |  | 0 | -12 |  | 250 | 250 |  | 0 | 0
Peru | 50 |  | 100 | 100 |  | 0 | 50 |  | 60 | 60 |  | 0 | -40
Russia | 281 |  | 210 | 210 |  | 0 | -71 |  | 230 | 230 |  | 0 | 20
Thailand | 6945 |  | 8000 | 7500 |  | -500 | 555 |  | 8500 | 8000 |  | -500 | 500
Turkey | 99 |  | 60 | 60 |  | 0 | -39 |  | 50 | 50 |  | 0 | -10
Uganda | 30 |  | 35 | 35 |  | 0 | 5 |  | 35 | 35 |  | 0 | 0
United States | 3326 |  | 3400 | 3400 |  | 0 | 74 |  | 3200 | 3200 |  | 0 | -200
Uruguay | 1056 |  | 900 | 900 |  | 0 | -156 |  | 900 | 900 |  | 0 | 0
[NAME] | 150 |  | 150 | 150 |  | 0 | 0 |  | 75 | 75 |  | 0 | -75
Vietnam | 7717 |  | 7400 | 7400 |  | 0 | -317 |  | 7700 | 7700 |  | 0 | 300
Subtotal | 38957 |  | 38362 | 37862 |  | -500 | -1095 |  | 38377 | 37877 |  | -500 | 15
Other | 259 |  | 240 | 240 |  | 0 | -20 |  | 260 | 260 |  | 0 | 20
 |  |  |  |  |  |  |  |  |  |  |  | 0
World total | 39148 |  | 38602 | 38102 |  | -500 | -1046 |  | 38637 | 38137 |  | -500 | 35
 |  |  |  |  |  |  |  |  |  |  |  | 0
U.S. Share | 0.084 |  | 0.08807833790995286 | 0.08923416093643378 |  | -- | -- |  | 0.08282216528198359 | 0.08390801583763799 |  | 0.001085850555654397 | --
-- Not available.  Note: All trade data are reported on a calendar-year basis.
1/ Projected.
Source: Production, Supply, & Distribution Online Data Base, FAS/USDA, http://www.fas.usda.gov/psdonline/psdHome.aspx.
Last updated June 13, 2013.
Spreadsheet: 141732d1329414064-countif-or-other-option-copy-of-randombasicstrategychart
Sheet: 6D S17 RAND Gen

0.763570781474441 | 7 |  | 0.5411222898200738 | 24 |  | 1 | Ace, Ace
0.6871242521382177 | 5 |  | 0.420666936569275 | 17 |  | 2 | 2, 2
0.8481077355670563 | 10 |  | 0.4362971082875247 | 25 |  | 3 | 3, 3
0.1190142136490628 | 3 |  | 0.4649334842909965 | 22 |  | 4 | 4, 4
0.9152827186009926 | 1 |  | 0.4020790312649742 | 12 |  | 5 | 5, 5
0.1613380609300776 | 8 |  | 0.3204734606424471 | 30 |  | 6 | 6, 6
0.9980722229700287 | 2 |  | 0.1201507253453791 | 13 |  | 7 | 7, 7
0.7274268529444954 | 6 |  | 0.4757202164062149 | 26 |  | 8 | 8, 8
0.0367881355396511 | 4 |  | 0.3573818263014059 | 21 |  | 9 | 9, 9
0.9059113295959178 | 9 |  | 0.4558480408645442 | 19 |  | 10 | 10, 10
 |  |  | 0.2156737910577733 | 27 |  | 11 | Ace, 2
 |  |  | 0.8396108349962563 | 1 |  | 12 | Ace, 3
1 | A |  | 0.7655268506291544 | 16 |  | 13 | Ace, 4
2 | 2 |  | 0.4843682917743399 | 15 |  | 14 | Ace, 5
3 | 3 |  | 0.5171463460103469 | 20 |  | 15 | Ace, 6
4 | 4 |  | 0.5354327636623308 | 14 |  | 16 | Ace, 7
5 | 5 |  | 0.9151253140911273 | 8 |  | 17 | Ace, 8
6 | 6 |  | 0.2680989337318493 | 4 |  | 18 | Ace, 9
7 | 7 |  | 0.716662678967861 | 10 |  | 19 | 5, 6, 7
8 | 8 |  | 0.5090383016040798 | 3 |  | 20 | 8
9 | 9 |  | 0.7380190093243302 | 2 |  | 21 | 9
10 | 10 |  | 0.865264433980514 | 5 |  | 22 | 10
 |  |  | 0.03085776074317881 | 9 |  | 23 | 11
 |  |  | 0.9266193027584242 | 6 |  | 24 | 12
 |  |  | 0.8880371621727934 | 18 |  | 25 | 13
 |  |  | 0.7614521275236104 | 28 |  | 26 | 14
 |  |  | 0.7047253440420187 | 11 |  | 27 | 15
 |  |  | 0.2629077269981663 | 7 |  | 28 | 16
 |  |  | 0.08411262854044144 | 29 |  | 29 | 17
 |  |  | 0.8330010768868477 | 23 |  | 30 | 18-21
Spreadsheet: 867632d1714460554-need-attendace-sheet-for-saleman-visited-diffrent-regions-with-different-items-book4-12-aligw-2-
Sheet: Sheet1

 |  | Salesman | Items | Region |  |  |  |  |  |  |  |  |  | REG-1 | [NAME] | REG-3 | REG-4 | REG-5 | [NAME] | REG-7 | REG-8 | REG-9 |  |  | REG-1 | REG-3 | REG-5 | [NAME] | REG-7 | REG-9
 |  | Salesman101 | Item-1 | REG-1 |  |  |  |  |  |  |  |  | Salesman101 | 0.3333333333333333 |  | 0.6666666666666666 |  |  |  |  |  |  |  | Salesman101 | 0.3333333333333333 | 0.6666666666666666
 |  | Salesman101 | Item-2 | REG-3 |  |  |  |  |  |  |  |  | Salesman111 | 0.1111111111111111 |  | 0.4444444444444444 |  | 0.1111111111111111 | 0.3333333333333333 |  |  |  |  | Salesman111 | 0.1111111111111111 | 0.4444444444444444 | 0.1111111111111111 | 0.3333333333333333
 |  | Salesman101 | Item-3 | REG-3 |  |  |  |  |  |  |  |  | Salesman121 |  |  |  |  |  |  | 1 |  |  |  | Salesman121 |  |  |  |  | 1
 |  | Salesman111 | Item-1 | [NAME] |  |  |  |  |  |  |  |  | Salesman131 |  |  |  |  |  |  |  |  | 1 |  | Salesman131 |  |  |  |  |  | 1
 |  | Salesman111 | Item-2 | REG-3 |  |  |  |  |  |  |  |  |  | 0.1111111111111111 |  | 0.2777777777777778 |  | 0.02777777777777778 | 0.08333333333333333 | 0.25 |  | 0.25 |  |  | 0.1111111111111111 | 0.2777777777777778 | 0.02777777777777778 | 0.08333333333333333 | 0.25 | 0.25
 |  | Salesman111 | Item-3 | REG-1
 |  | Salesman111 | Item-4 | REG-3
 |  | Salesman111 | Item-5 | REG-3
 |  | Salesman111 | Item-6 | [NAME]
 |  | Salesman111 | Item-7 | REG-3
 |  | Salesman111 | Item-8 | REG-5
 |  | Salesman111 | Item-9 | [NAME]
 |  | Salesman121 | Item-1 | REG-7
 |  | Salesman121 | Item-2 | REG-7
 |  | Salesman131 | Item-1 | REG-9
 | Items | REG-1 | [NAME] | REG-3 | REG-4 | REG-5 | [NAME] | REG-7 | REG-8 | REG-9
Salesman101 | Item-2 |  |  | 0.3333333333333333
Salesman101 | Item-3 |  |  | 0.3333333333333333
Salesman111 | Item-1 |  |  |  |  |  | 0.1111111111111111
Salesman111 | Item-2 |  |  | 0.1111111111111111
Salesman111 | Item-3 | 0.1111111111111111
Salesman111 | Item-4 |  |  | 0.1111111111111111
Salesman111 | Item-5 |  |  | 0.1111111111111111
Salesman111 | Item-6 |  |  |  |  |  | 0.1111111111111111
Salesman111 | Item-7 |  |  | 0.1111111111111111
Salesman111 | Item-8 |  |  |  |  | 0.1111111111111111
Salesman111 | Item-9 |  |  |  |  |  | 0.1111111111111111
Salesman121 | Item-1 |  |  |  |  |  |  | 0.5
Salesman121 | Item-2 |  |  |  |  |  |  | 0.5
Salesman131 | Item-1 |  |  |  |  |  |  |  |  | 1
Spreadsheet: 848685d1699361253-is-sumproduct-the-correct-formula-example-data
Sheet: Sheet1

Sum of months between the two criteria above for a selected employee |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Period From | Period To
 | Select Period: |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2023-10-01 00:00:00 | 2023-10-31 00:00:00
Period From | 2023-10-01 00:00:00 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2023-11-01 00:00:00 | 2023-11-30 00:00:00
Period To | 2023-11-30 00:00:00 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2023-12-01 00:00:00 | 2023-12-31 00:00:00
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2024-01-01 00:00:00 | 2024-01-31 00:00:00
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2024-02-01 00:00:00 | 2024-02-29 00:00:00
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2024-03-01 00:00:00 | 2024-03-31 00:00:00
Full Name | 2023-10-01 00:00:00 | 2023-11-01 00:00:00 | 2023-12-01 00:00:00 | 2024-01-01 00:00:00 | 2024-02-01 00:00:00 | 2024-03-01 00:00:00 | 2024-04-01 00:00:00 | 2024-05-01 00:00:00 | 2024-06-01 00:00:00 | 2024-07-01 00:00:00 | 2024-08-01 00:00:00 | 2024-09-01 00:00:00 |  |  |  | 2024-04-01 00:00:00 | 2024-04-30 00:00:00
Spiderman | 106 | 106 | 77 | 106 | 101 | 96 | 101 | 101 | 96 | 110 | 101 | 101 |  |  |  | 2024-05-01 00:00:00 | 2024-05-31 00:00:00
Iron Man | 88 | 88 | 64 | 88 | 84 | 80 | 84 | 84 | 80 | 92 | 84 | 84 |  |  |  | 2024-06-01 00:00:00 | 2024-06-30 00:00:00
Captain America | 21 | 21 | 15 | 21 | 20 | 19 | 20 | 20 | 19 | 22 | 20 | 20 |  |  |  | 2024-07-01 00:00:00 | 2024-07-31 00:00:00
Wolverine | 106 | 106 | 77 | 106 | 101 | 96 | 101 | 101 | 96 | 110 | 101 | 101 |  |  |  | 2024-08-01 00:00:00 | 2024-08-31 00:00:00
[NAME] | 114 | 114 | 83 | 114 | 109 | 104 | 109 | 109 | 104 | 120 | 109 | 109 |  |  |  | 2024-09-01 00:00:00 | 2024-09-30 00:00:00
[NAME] | 51 | 51 | 37 | 51 | 48 | 46 | 48 | 48 | 46 | 53 | 48 | 48
Black Widow | 84 | 84 | 61 | 84 | 80 | 76 | 80 | 80 | 76 | 87 | 80 | 80
For example
1.  Total for Iron Man between Oct 23 and Jan 24
2.  Total for Ant Man between Jan 24 and Apr 24
Spreadsheet: 542020d1507667061-due-date-calculation-by-taking-only-working-hours-and-days-add-work-hours
Sheet: Sheet1

2017-10-02 21:00:00 | 14:00:00 |  | Day Start | Day End
2017-10-02 13:00:00 | 14:00:00 |  | 11:30:00 | 20:30:00
2017-10-02 21:00:00 | 04:00:00
2017-10-11 01:41:00 | 01:00:00
2017-10-26 06:00:00 | 20:00:00
2017-10-28 06:00:00 | 03:00:00
2017-10-11 01:25:00 | 12:00:00
Spreadsheet: 061f4774-bd3f-4b88-b19d-b4ce2643adde
Sheet: Sheet1

electronica 2010 - List of exhibitors | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5
 | Search by product and service index (7 Entries):
 | 8 Passive components 8.6 Nonlinear high-voltage components 8.6.1 2-electrode arresters
No. | Company | Country | City | [NAME] | Hall/Booth
1 | [NAME] (Products by Dean Technology, Inc.) | USA | Dallas | TX 75370 | A5.359
2 | ACPA Technology Co., Ltd. | Taiwan | Taipei County 237 |  | B6.556/5
3 | Bourns GmbH | Germany | Sauerlach | 82054 | A5.202
4 | [NAME]Vertriebs GmbH | Germany | Nagold | 72202 | A5.138
5 | EPCOS AG, A Group Company of TDK-EPC Corporation | Germany | München | 81669 | B5.506
6 | Jensen Devices AB | Sweden | Sollentuna | 192 05 | B6.114
7 | TDK-EPC Corporation, A Group Company of TDK Corporation, c/o EPCOS AG | Germany | München | 81669 | B5.506
Spreadsheet: 38e5e3ff-17b8-408f-84bb-3cce782cb1ea
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9
 | Instructions: Add columns as needed
 | Examination of Individual Races in the 2012 General Election
 | Contests | Total Votes Cast for Candidate Printed on Ballot |  |  |  |  | Total Write-ins | Total Blanks* | Office Total
 |  | REP | DEM | Liberta-rian & Other | Other
 | President & | Romney | [NAME] | [NAME] | Goode &
 | Vice President | & Ryan | & Biden | & Gray | Clymer
 | Votes cast
 | Governor | Ovide | [NAME] | [NAME]
 |  | Lamontagne
 | Votes cast
 | U.S. Congress
 | Votes cast
 | Executive [NAME]
 | Votes cast
 | State Senator
 | Votes cast
 | State Representative
 | Votes cast
 | State Representative
 | Votes cast
 | State Representative
 | (Floterial)
 | Votes cast
 | Contests | Total Votes Cast for Candidate Printed on Ballot |  |  |  |  | Total Write-ins | Total Blanks* | Office Total
 |  | REP | DEM | Other | Other
 | Sheriff
 | Votes cast
 | County Attorney
 | Votes cast
 | County Treasurer
 | Votes cast
 | Register of Deeds
 | Votes cast
 | Register of Probate
 | Votes cast
 | County Commissioner(s)**, District  ___
 | Votes cast
 | County Commissioner(s)**, District ____
 | Votes cast
 | * Blanks = overvotes plus undervotes.  Term “blanks” appears on the counting
 | device tape report.
 | ** County commissioners districts and elections vary by county.
Spreadsheet: 817861d1676472678-scan-barcode-split-by-order-location-and-check-by-location-scan-and-split-and-check
Sheet: scan& check by store

 | scan barecode | put store 1 check by order
 |  | store 1
 |  | store 2
 |  | store 3
 |  | store 4
 |  | store 5
 |  | store 6
exemple | 123 | store 1
exemple | 123 | store 1
exemple | 123 | store 1
exemple | 123 | error
exemple | 456 | store 1
exemple | 456 | store 1
exemple | 456 | error
exemple | 789 | store 1
exemple | 789 | store 1
exemple | 789 | store 1
exemple | 789 | error
Spreadsheet: 117044-calculate-commisson-commissions1
Sheet: Jacqui

Jacqui Mims 1/17/2011
Date | Property | Price | Commission % | Total Commission | [NAME] | Agent Commission | [NAME] | Agent Check | Office Commission
2011-07-25 00:00:00 | 123 Maple St | 200000 | 0.03 |  | 0.5
Totals
2011-07-05 00:00:00 | 4318 Blue Ridge Dr | Dorsey |  |  |  | 0 | Buy |  | Jacqui | 230000 | 6900 | 0.6
2011-09-01 00:00:00 | 1905 Mt. Lebanon Rd | Lord/Center |  |  |  | 0 | Buy |  | Jacqui | 72000 | 2160 | 0.5
8/15/111 | 110 Laurel View | Mensah/Biney |  |  |  | 0 | Buy |  | Jacqui | 55000 | 1650 | 0.5
2011-10-31 00:00:00 | 15 Suwannee Court | Goodman |  |  |  | 0 | Buy |  | Jacqui | 211175 | 6335.25 | 0.5
Spreadsheet: 26b92460-fc44-4428-89b4-5c9f5b37e085
Sheet: Sheet1

Test Referenced | Entry Type | Mayo ID | Description | Reporting Description | Method | Collection Container | Temperature | Stability | [NAME] | Unit of Measure | [NAME] | Minimum Volume | Reject Due To | Reference Values | Days/Times Performed | Analytic Time | Maximum Lab Time | CPT Units | CPT Code | LOINC® Code | LOINC® Attributes | Always Performed | Orderable Separately | Performing Location
RAMB | Test | RAMB | Rabbit Meat, IgE | Rabbit Meat, IgE | Fluorescence Enzyme Immunoassay (FEIA) | Serum Gel Tube: SGT |  |  | 0.5 | mL | Container/Tube: Preferred: Red top	 Acceptable: Serum gel [NAME]: 0.5 mL for each 5 allergens requested Additional Information: Designate specific allergens from the list in Allergens-IgE Antibodies in Special Instructions. Forms: If not ordering electronically, submit an Allergen Request Form (Supply T236) with the specimen. | For 1 allergen: 0.3 mL/For more | Hemolysis	Mild OK; Gross OK Thawing	Warm reject; Cold OK Lipemia	Mild OK; [NAME] OK Icterus	NA Other	NA | Class	IgE kU/L	Interpretation 0	<0.35	Negative 1	0.35-0.69	Equivocal 2	0.70-3.49	Positive 3	3.50-17.4	Positive 4	17.5-49.9	Strongly positive 5	50.0-99.9	Strongly positive 6	> or =100	Strongly positive Reference values apply to all ages. | Monday through Friday; 9 a.m. -8 p.m., Saturday; 8 a.m. -3 p.m. | Same day/1 day | 3 days | 1 | 86003 |  |  |  |  | Rochester
RAMB | [NAME] | SERUM | Serum |  |  |  | Refrigerated | 14 days
RAMB | Result | RAMB | Rabbit Meat, IgE | Rabbit Meat, IgE | Numeric |  |  |  |  | kU/L |  |  |  |  |  |  |  |  |  | 7642-2 | Rabbit meat Ab.IgE:ACnc:Pt:Ser:Qn:
Spreadsheet: darrell_schoolcraft__7307__imball0201
Sheet: crosstex

Crosstexx Energy Services |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Contract  21579
 | contr 21571 - poi 56935 |  | contr 23994 - poi 58444
 | Integrated Services DP |  | I.S.I. Farm Tap- [NAME]
 | Measured | Scheduled | Measured | Scheduled
1 | -2143 | -1613 | -799 | -2000
2 | -2506 | -1613 | -2650 | -2000
3 | -2105 | -1613 | -2614 | -2000
4 | -2259 | -1613 | -2483 | -2000
5 | -1911 | -1613 | -2346 | -2000
6 | -2267 | -1613 | -807 | -2000
7 | -2257 | -1613 | -2535 | -2000
8 | -1680 | -1613 | -2454 | -2000
9 | -1667 | -1613 | -2378 | -2000
10 | -1953 | -1613 | -2547 | -2000
11 | -2326 | -1613 | -2312 | -2000
12 | -2069 | -1613 | -136 | -2000
13 | -2204 | -1613 | -781 | -2000
14 | -2256 | -1613 | -2627 | -2000
15 | -2266 | -1613 | -2448
16 | -2143 | -1613 | -2667 | -2000
17 | -2422 | -1613 | -2536 | -2000
18 | -2214 | -1613 | -2557 | -2000
19 | -2318 | -1613 | -2477 | -2000
20 | -2323 | -1613 | -723 | -2000
21
22
23
24
25
26
27
28
29
30
31
index
2001-12-31 00:00:00 |  |  |  |  | -133395.24 |  | 713.49
2002-01-20 00:00:00
CBS Volume |  |  |  |  |  |  | 2808
 |  |  | -43412
Spreadsheet: 763334d1642106573-build-a-continuous-column-val-sku-store-lists
Sheet: Sheet1

Input |  |  |  |  | Ideal Output
Stores |  | Items |  |  | Stores | Item
Store 1 |  | A |  |  |  | A
Store 2 |  | B |  |  | Store 1 | B
Store 3 |  | C |  |  | Store 1 | C
Store 4 |  |  |  |  | Store 2 | A
 |  |  |  |  | Store 2 | B
 |  |  |  |  | Store 2 | C
 |  |  |  |  | Store 3 | A
 |  |  |  |  | Store 3 | B
 |  |  |  |  | Store 3 | C
 |  |  |  |  | Store 4 | A
 |  |  |  |  | Store 4 | B
 |  |  |  |  | Store 4 | C
Spreadsheet: 803002d1667213351-combine-multiple-column-with-header-into-one-column-example-combine
Sheet: Sheet1

 | to combine B column with [NAME] column in C to F into one column
 |  |  |  |  |  |  | EXPECTED RESULT
 | CODE | BOX1 | [NAME] | BOX3 | BOX4 |  | CODE
 | BB1 | 0 | 12 | 77 | 0 |  |  | 0
 | BB2 | 164 | 36 | 77 | 52 |  |  | 164
 | BB3 | 4 | 9 | 73 | 0 |  |  | 4
 | BB4 | 222 | 42 | 82 | 54 |  |  | 222
 | BB5 | 17 | 11 | 0 | 0 |  |  | 17
 | BB6 | 12 | 15 | 0 | 0 |  |  | 12
 | BB7 | 864 | 377 | 1838 | 173 |  |  | 864
 | BB8 | 0 | 45 | 302 | 0 |  |  | 0
 | BB9 | 294 | 91 | 687 | 98 |  |  | 294
 | BB10 | 233 | 64 | 523 | 96 |  |  | 233
 | BB11 | 254 | 247 | 503 | 75 |  |  | 254
 | BB12 | 0 | 16 | 16 | 0 |  |  | 0
 | [NAME] | 140 | 30 | 134 | 29 |  |  | 140
 | BB14 | 134 | 29 | 0 | 0 |  |  | 134
 |  |  |  |  |  |  |  | 12
 |  |  |  |  |  |  |  | 36
 |  |  |  |  |  |  |  | 9
 |  |  |  |  |  |  |  | 42
 |  |  |  |  |  |  |  | 11
 |  |  |  |  |  |  |  | 15
 |  |  |  |  |  |  |  | 377
 |  |  |  |  |  |  |  | 45
 |  |  |  |  |  |  |  | 91
 |  |  |  |  |  |  |  | 64
 |  |  |  |  |  |  |  | 247
 |  |  |  |  |  |  |  | 16
 |  |  |  |  |  |  |  | 30
 |  |  |  |  |  |  |  | 29
 |  |  |  |  |  |  |  | 77
 |  |  |  |  |  |  |  | 77
 |  |  |  |  |  |  |  | 73
 |  |  |  |  |  |  |  | 82
 |  |  |  |  |  |  |  | 0
 |  |  |  |  |  |  |  | 0
 |  |  |  |  |  |  |  | 1838
 |  |  |  |  |  |  |  | 302
 |  |  |  |  |  |  |  | 687
 |  |  |  |  |  |  |  | 523
 |  |  |  |  |  |  |  | 503
 |  |  |  |  |  |  |  | 16
 |  |  |  |  |  |  |  | 134
 |  |  |  |  |  |  |  | 0
 |  |  |  |  |  |  |  | 0
 |  |  |  |  |  |  |  | 52
 |  |  |  |  |  |  |  | 0
 |  |  |  |  |  |  |  | 54
 |  |  |  |  |  |  |  | 0
 |  |  |  |  |  |  |  | 0
 |  |  |  |  |  |  |  | 173
 |  |  |  |  |  |  |  | 0
 |  |  |  |  |  |  |  | 98
 |  |  |  |  |  |  |  | 96
 |  |  |  |  |  |  |  | 75
 |  |  |  |  |  |  |  | 0
 |  |  |  |  |  |  |  | 29
 |  |  |  |  |  |  |  | 0
Spreadsheet: 686360d1594554081-how-to-match-a-serial-number-and-get-corresponding-data-toforum
Sheet: Master

District:Thoothukkudi       Taluk:Kayathar      Village:VADAKKU VANDANAM
SERIAL NUMBER: 1
S.NO. | U.NO. | Relative Name |  | Relation |  | Owner
1 | 1 | Victor |  | wife |  | [NAME]
V.No | Survey | wet |  | Drt |  | Others |  | Notes
 | Sub Div
 |  | Area | tax | area | tax | area | tax
1 | 229 - 12 | 0 - 9.00 | 1.1 | 0 -0.00 | 0 | 0 -0.00 | 0 | -
 | Total | 0 - 9.00 | 1.1 | 0 -0.00 | 0 | 0 -0.00 | 0 | -
SERIAL NUMBER: 228
S.NO. | U.NO. | Relative Name |  | Relation |  | Owner
1 | 1 | Manos |  | son |  | [NAME]
V.No | Survey | wet |  | Drt |  | Others |  | Notes
 | Sub Div
 |  | Area | tax | area | tax | area | tax
 | total | 0 - 0.00 | 0 | 0 -0.00 | 0 | 0 -0.00 | 0 | -
SERIAL NUMBER: 3008
S.NO. | U.NO. | Relative Name |  | Relation |  | Owner
1 | 1 | Sogan |  | Son |  | Raja
V.No | Survey | wet |  | Drt |  | Others |  | Notes
 | Sub Div
 |  | Area | tax | area | tax | area | tax
1 | 24 - 1 | 0 - 0.00 | 0 | 1 - 18.50 | 2.35 | 0 -0.00 | 0 | -
2 | 24 - 2 | 0 - 0.00 | 0 | 0 - 78.00 | 1.55 | 0 -0.00 | 0 | -
3 | 25 - 2 | 0 - 0.00 | 0 | 0 - 45.50 | 0.9 | 0 -0.00 | 0 | -
4 | 25 - 4 | 0 - 0.00 | 0 | 0 - 22.50 | 0.45 | 0 -0.00 | 0 | -
5 | 150 - 7 | 0 - 0.00 | 0 | 0 - 34.00 | 0.95 | 0 -0.00 | 0 | -
6 | 150 - 8 | 0 - 0.00 | 0 | 0 - 32.00 | 0.9 | 0 -0.00 | 0 | -
 | total | 0 - 0.00 | 0 | 3 -30.50 | 7.1 | 0 -0.00 | 0 | -
SERIAL NUMBER: 4108
S.NO. | U.NO. | Relative Name |  | Relation |  | Owner
1 | 1 | Kalees |  | Wife |  | Pernia
V.No | Survey | wet |  | Drt |  | Others |  | Notes
 | Sub Div
 |  | Area | tax | area | tax | area | tax
 | மொத்தம் | 0 - 0.00 | 0 | 0 -0.00 | 0 | 0 -0.00 | 0 | -
SERIAL NUMBER: 10
S.NO. | U.NO. | Relative Name |  | Relation |  | Owner
1 | 2 | Blacky |  | Wife |  | Ramone
2 | 5 | Soosanith |  | Daughter |  | Xavier
V.No | Survey | wet |  | Drt |  | Others |  | Notes
 | Sub Div
 |  | Area | tax | area | tax | area | tax
 | total | 0 - 0.00 | 0 | 0 -0.00 | 0 | 0 -0.00 | 0 | -
Spreadsheet: 210261d1359410738-spreadsheet-showing-consecutive-mondays-and-dates-in-a-year-all_mondays_in_a_year
Sheet: Blad1

2003
2003-01-06 00:00:00
2003-01-13 00:00:00
2003-01-20 00:00:00
2003-01-27 00:00:00
2003-02-03 00:00:00
2003-02-10 00:00:00
2003-02-17 00:00:00
2003-02-24 00:00:00
2003-03-03 00:00:00
2003-03-10 00:00:00
2003-03-17 00:00:00
2003-03-24 00:00:00
2003-03-31 00:00:00
2003-04-07 00:00:00
2003-04-14 00:00:00
2003-04-21 00:00:00
2003-04-28 00:00:00
2003-05-05 00:00:00
2003-05-12 00:00:00
2003-05-19 00:00:00
2003-05-26 00:00:00
2003-06-02 00:00:00
2003-06-09 00:00:00
2003-06-16 00:00:00
2003-06-23 00:00:00
2003-06-30 00:00:00
2003-07-07 00:00:00
2003-07-14 00:00:00
2003-07-21 00:00:00
2003-07-28 00:00:00
2003-08-04 00:00:00
2003-08-11 00:00:00
2003-08-18 00:00:00
2003-08-25 00:00:00
2003-09-01 00:00:00
2003-09-08 00:00:00
2003-09-15 00:00:00
2003-09-22 00:00:00
2003-09-29 00:00:00
2003-10-06 00:00:00
2003-10-13 00:00:00
2003-10-20 00:00:00
2003-10-27 00:00:00
2003-11-03 00:00:00
2003-11-10 00:00:00
2003-11-17 00:00:00
2003-11-24 00:00:00
2003-12-01 00:00:00
2003-12-08 00:00:00
2003-12-15 00:00:00
2003-12-22 00:00:00
2003-12-29 00:00:00
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