tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 142873d1330050701-sum-merge-repeated-columns-within-an-array-issues
Sheet: Sheet1

Problem sheet
 | 188901 | 188902 | 188903 | 188904 | 188905 | 188906 | 188907 | 188908 | 188901 | 188902 | 188903 | 188904 | 188905 | 188906 | 188907 | 188908 | 188901 | 188902 | …
A | 0 | 0 | 54 | 84.5 | 0 | 12.2 | 52.6 | 7.6 | 0 | 0 | 54 | 84.5 | 0 | 12.2 | 52.6 | 7.6 | 0 | 0 | …
B | 3.8 | 0 | 10.7 | 41.90000000000001 | 0.5 | 10 | 1.5 | 9.2 | 3.8 | 0 | 10.7 | 41.90000000000001 | 0.5 | 10 | 1.5 | 9.2 | 3.8 | 0 | …
C | 4.6 | 0 | 21.9 | 33.8 | 0.4 | 21.3 | 7.4 | 25 | 4.6 | 0 | 21.9 | 33.8 | 0.4 | 21.3 | 7.4 | 25 | 4.6 | 0 | …
D | 2.8 | 0 | 33.8 | 59.9 | 1.8 | 23.7 | 20.6 | 22.7 | 2.8 | 0 | 33.8 | 59.9 | 1.8 | 23.7 | 20.6 | 22.7 | 2.8 | 0 | …
E | 1.3 | 0.3 | 21.4 | 46.2 | 9.5 | 22.3 | 6.5 | 15.7 | 1.3 | 0.3 | 21.4 | 46.2 | 9.5 | 22.3 | 6.5 | 15.7 | 1.3 | 0.3 | …
F | 10.7 | 0 | 10.9 | 51.09999999999999 | 0 | 31.2 | 12.2 | 6.399999999999999 | 10.7 | 0 | 10.9 | 51.09999999999999 | 0 | 31.2 | 12.2 | 6.399999999999999 | 10.7 | 0 | …
… | … | … | … | … | … | … | … | … | … | … | … | … | … | … | … | … | … | … | …
Example of solved sheet
 | 188901 | 188902 | 188903 | 188904 | 188905 | 188906 | 188907 | 188901 | 188902 | 188903 | 188904 | 188905 | 188906 | 188907 | 188901 | 188902 | …
A | 0 | 0 | 54 | 84.5 | 0 | 12.2 |  | 0 | 0 | 54 | 84.5 | 0 | 12.2 | 60.2 | 0 | 0 | …
B | 3.8 | 0 | 10.7 | 41.90000000000001 | 0.5 | 10 |  | 3.8 | 0 | 10.7 | 41.90000000000001 | 0.5 | 10 | 10.7 | 3.8 | 0 | …
C | 4.6 | 0 | 21.9 | 33.8 | 0.4 | 21.3 |  | 4.6 | 0 | 21.9 | 33.8 | 0.4 | 21.3 | 32.4 | 4.6 | 0 | …
D | 2.8 | 0 | 33.8 | 59.9 | 1.8 | 23.7 |  | 2.8 | 0 | 33.8 | 59.9 | 1.8 | 23.7 | 43.3 | 2.8 | 0 | …
E | 1.3 | 0.3 | 21.4 | 46.2 | 9.5 | 22.3 |  | 1.3 | 0.3 | 21.4 | 46.2 | 9.5 | 22.3 | 22.2 | 1.3 | 0.3 | …
F | 10.7 | 0 | 10.9 | 51.09999999999999 | 0 | 31.2 |  | 10.7 | 0 | 10.9 | 51.09999999999999 | 0 | 31.2 | 18.6 | 10.7 | 0 | …
… | … | … | … | … | … | … | … | … | … | … | … | … | … | … | … | … | …
Spreadsheet: 719676d1613753756-looking-for-a-possible-simpler-solution-formula-to-calculate-cashflow-from-customers-monthly-revenues
Sheet: Sheet1

Customer | Start Date | Payment |  |  | 2021-01-01 00:00:00 | 2021-02-01 00:00:00 | 2021-03-01 00:00:00 | 2021-04-01 00:00:00 | 2021-05-01 00:00:00 | 2021-06-01 00:00:00 | 2021-07-01 00:00:00 | 2021-08-01 00:00:00 | 2021-09-01 00:00:00 | 2021-10-01 00:00:00 | 2021-11-01 00:00:00 | 2021-12-01 00:00:00
Customer 1 | 2021-04-20 00:00:00 | 12 |  | Customers
Customer 2 | 2021-01-10 00:00:00 | 20 |  | Revenue
Customer 3 | 2021-04-01 00:00:00 | 34
Customer 4 | 2021-03-11 00:00:00 | 99
Customer 5 | 2021-02-08 00:00:00 | 61
Customer 6 | 2021-10-20 00:00:00 | 46
Customer 7 | 2021-08-20 00:00:00 | 56
Customer 8 | 2021-02-21 00:00:00 | 15
Customer 9 | 2021-07-16 00:00:00 | 73
Customer 10 | 2021-03-20 00:00:00 | 76
Customer 11 | 2021-10-28 00:00:00 | 11
Customer 12 | 2021-10-14 00:00:00 | 89
Customer 13 | 2021-10-14 00:00:00 | 53
Spreadsheet: 845526d1697016072-problem-incrementing-or-decrementing-a-cells-value-based-on-a-filters-value-golfscoresmultiplayerliveck76bak
Sheet: Summary

 | Golf Scores - Team Summary |  |  |  |  |  |  |  |  |  | Team: | Team2
 | Rounds Played |  |  |  | High Score |  |  |  |  |  |  |  |  | Data Entry |  |  | Below Par
 |  |  |  |  | [NAME] |  |  |  |  |  |  |  |  | Par |  |  | Most frequent
 |  | 1st | 2nd | 3rd | 4th | 5th | 6th | 7th | 8th | 9th | Front | 10th | 11th | 12th | 13th | 14th | 15th | 16th | 17th | 18th | Back | Total
 | Course Par | 4 | 4 | 3 | 5 | 4 | 4 | 4 | 3 | 4 |  | 4 | 4 | 3 | 4 | 5 | 3 | 4 | 4 | 5
 | HighScore
 | AvScore
 | <= -3 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | -3
 | Eagles |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | -2
 | Birdies |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | -1
 | Pars |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0
 | Bogeys |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1
 | Double Bogeys |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2
 | >= +3 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3
 | Total
Spreadsheet: 771516d1646704676-trying-to-categorize-using-xlookup-without-spaces-in-between-excel-forum-help-1-
Sheet: Sheet1

Column1 | Column2 | Column3
L1820 | 102.56 | 102.56
A5500 | 59.36 | 0
A5500 | 59.36 | 59.36
A5512 | 72.66 | 0
A5512 | 72.66 | 72.66
L2116 | 592.88 | 592.88
L2840 | 72.78 | 36.39
L0631 | 806.64 | 0
L0637 | 880.42 | 880.42
L2116 | 592.88 | 0
L2820 | 70.21 | 0
L1833 | 714.77 | 714.77
L2397 | 82.26 | 82.26
L0631 | 806.64 | 0
L0627 | 322.98 | 322.98
A6530 | 122.56 | 122.54
A6533 | 66.96 | 66.94
A6539 | 46.85 | 46.85
L1907 | 884.28 | 884.28
[NAME] | 175.68 | 175.68
L2755 | 190.02 | 190.02
[NAME] | 175.68 | 175.68
L3020 | 311.82 | 311.82
[NAME] | 175.68 | 175.68
L3020 | 311.82 | 311.82
L3807 | 178.81 | 178.81
L1833 | 714.77 | 0
L3982 | 339.44 | 0
L0648 | 614.17 | 614.17
A6533 | 66.96 | 66.94
A6533 | 33.48 | 33.46
L0631 | 806.64 | 806.64
Spreadsheet: monika_causholli__28121__Indo1
Sheet: Indo11

facility_id | company | mill | city | state_id | [NAME] | region_id | country_id | fisher_id | configuration | bleaching | grade | product | short_cap | run_days | cost_date | fiber | chemical | electrical | fuel | hourly | salary | metric_cap | bal_date | [NAME] | country_description | input_cap_as | short_unit | metric_unit | material | furnish | total_energy | total_labor | total_chems | total_cash_cost | region_description
118 | [NAME] | [NAME] | Kerinci |  | se_asia | indo | indo | 0 | Semi-integrated | ECF | bhkp | euc/trop | 1560.84656 | 357 | 2001_2Q | 83.68184 | 2.96475 | -2.9521 | 13.26 | 4.2424 | 2.71652 | 1416 | 2000_1Q | 0 | Indonesia | metric | ADST | ADMT | 36.83802 | 23.57659 | 10.3079 | 6.95892 | 26.54134 | 164.32802 | Indonesia
117 | P.T. Lontar Papyrus Pulp & Paper | [NAME] | [NAME] |  | se_asia | indo | indo | 0 | Integrated | ECF | bhkp | euc/trop | 1432.9806 | 357 | 2001_2Q | 85.16952 | 2.96475 | 0 | 9.32607 | 4.65232 | 3.5351 | 1300 | 2000_1Q | 0 | Indonesia | metric | ADST | ADMT | 36.60519 | 23.57659 | 9.32607 | 8.18742 | 26.54134 | 165.82954 | Indonesia
115 | [NAME] | [NAME] | Sumatra |  | se_asia | indo | indo | 4085 | Semi-integrated | ECF | bhkp | euc/trop | 3306.87831 | 357 | 2001_2Q | 83.50003 | 2.96475 | 0 | 8.9191 | 4.50583 | 3.81936 | 3000 | 2000_1Q | 0 | Indonesia | metric | ADST | ADMT | 40.54839 | 23.57659 | 8.9191 | 8.32519 | 26.54134 | 167.83405 | Indonesia
784 | P.T. Tanjung Enim Lestari | [NAME] | Sumatra |  | se_asia | indo | indo | 7094 | Integrated | ECF | bhkp | euc/trop | 1388.88889 | 357 | 2001_2Q | 88.88872 | 2.96475 | 0 | 16.4983 | 5.27465 | 4.43935 | 1260 | 2000_1Q | 0 | Indonesia | metric | ADST | ADMT | 33.75963 | 23.57659 | 16.4983 | 9.714 | 26.54134 | 175.40199 | Indonesia
539 | [NAME] Kertas Tanjung | [NAME] | Kalimantan |  | se_asia | indo | indo | 0 | Integrated | ECF | bhkp | euc/trop | 1609.34744 | 357 | 2001_2Q | 88.88872 | 2.96475 | 0 | 26.26 | 3.89757 | 3.29628 | 1460 | 2000_1Q | 0 | Indonesia | metric | ADST | ADMT | 36.00603 | 23.57659 | 26.26 | 7.19385 | 26.54134 | 184.88994 | Indonesia
Spreadsheet: 837932d1690537647-help-formula-with-dropdown-list-combobox-dummy-data-5-aligw
Sheet: Dataset

 |  |  |  |  |  |  |  |  |  |  | 2 | 3
 |  |  | North | South | East | West-1 | West-2 | E-Com | India |  | Region | Branch |  |  | COI
 |  |  | CHA | BAN | BHU | MUM | AHM | Flipkart |  |  |  |  |  |  | CHE
 |  |  | DEL | COI | GUW | NAG | IND | Appario |  |  | South |  |  |  | COC
 |  |  | GUR | CHE | KOL | PUN | RAI |  |  |  | East |  |  |  | HYD
 |  |  | JAI | COC | PAT |  |  |  |  |  | West-1 |  |  |  | VIJ
 |  |  | GHA | HYD | RAN |  |  |  |  |  | West-2
 |  |  | LUC | VIJ |  |  |  |  |  |  | E-Com
Spreadsheet: 817044d1675965041-vlookup-not-grabbing-table-irmaa-tax-analysis
Sheet: Final Comparison

 | Final Comparison |  |  |  |  |  | Different
 | Years | Part B | Part D | Total Tax Payments |  | Total
 | 1
 | 3
 | 4
 | 5
 | 6
 | 7
Spreadsheet: 093532a8-0569-45ce-b52e-45010cfeeb5c
Sheet: 4.2(PA) Major Group Enroll-Grad

Institution
Indicator 4: Student Enrollment and Graduation by Major Group
Table 4.2(PA): Major Group Fall Enrollment, Graduation & Post-Graduate / AY 2010-11
 | Major Group | PA - Paralegal
 | Please enter the number of students enrolled in this major group for the fall semester.
 |  |  |  |  | Fall 2010 (October 15, 2010)
 | Fall Enrollment (Snapshot) |  | American Indian |  | Non-Indian
 |  |  | M | F | M | F | Total
 |  | Full Time | na | na | na | na
 |  | Part Time | na | na | na | na
 |  | Total
 | Please enter the number of diploma, certificates, and degrees earned in this major group.  Also enter the number of students graduating with degrees who earned a GPA of 3.0 or above, and the number who were admitted to a 4 year (Associate degree graduates), or graduate school (Bachelor's degree graduates).  Lastly, enter the number of all graduating students(certificate or degree) who secured employment after graduation.
 |  |  |  |  | July 1, 2010- June 30, 2011
 | Graduation |  | American Indian |  | Non-Indian
 |  |  | M | F | M | F | Total
Apprenticeship/Occupational Program |  |  | na | na | na | na
Diploma |  |  | na | na | na | na
Certificate |  |  | na | na | na | na
Associate Degree |  |  | na | na | na | na
 | Assoc. graduates admitted to four-year program |  | na | na | na | na
 | [NAME]. graduated with a GPA of 3.0 or above |  | na | na | na | na
Bachelor's Degree |  |  | na | na | na | na
 | [NAME]. graduates admitted to graduate school |  | na | na | na | na
 | [NAME]. graduated with a GPA of 3.0 or above |  | na | na | na | na
Master's Degree |  |  | na | na | na | na
Employed after graduation |  |  | na | na | na | na
Notes:
Spreadsheet: 77854d1278353952-excel-2007-averaging-no-blanks-and-no-zeros-over-several-sheets-test-monthly
Sheet: Summary 

 | Monthly Total |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | TabNames
 |  |  |  |  |  | Tech Individual Ticket Closures |  |  |  |  |  |  |  |  |  |  |  | WK1 Mon
 | Desktop |  | Network |  |  |  |  |  |  |  |  |  |  |  |  |  |  | WK1 Tue
 | Opened |  | Opened |  |  |  |  |  |  |  |  |  |  |  |  |  |  | WK1 Wed
 | Closed |  | Closed |  |  |  |  |  |  |  |  |  |  |  |  |  |  | WK1 Thu
 | Backlog |  | Backlog |  |  |  |  |  |  |  |  |  |  |  |  |  |  | WK1 Fri
 | Frozen |  | Frozen |  |  |  |  |  |  |  |  |  |  |  |  |  |  | WK2 Mon
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | WK2 Tue
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | WK2 Wed
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | WK2 Thu
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | WK2 Fri
 | Active Install Tickets avg |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | WK3 Mon
 | Install Tickets Frozen avg |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | WK3 Tue
 | Install Tickets in Responded avg |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | WK3 Wed
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | WK3 Thu
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | WK3 Fri
 |  |  |  |  |  |  | 0 |  |  |  |  |  |  |  |  |  |  | WK4 Mon
 |  |  |  |  |  |  | 0 |  |  |  |  |  |  |  |  |  |  | WK4 Tue
 |  |  |  |  |  |  | 0 |  |  |  |  |  |  |  |  |  |  | WK4 Wed
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | WK4 Thu
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | WK4 Fri
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | WK5 Mon
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | WK5 Tue
 |  |  |  |  |  | Total Team |  |  |  |  |  |  |  |  |  |  |  | WK5 Wed
 |  |  |  |  |  | Team Averade |  |  |  |  |  |  |  |  |  |  |  | [NAME]
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | WK5 Fri
Spreadsheet: 36746d1234665118-using-2-variables-to-return-multiple-items-from-multiple-sheets-using-2-variables-to-return-multiple-items-from-multiple-sheets
Sheet: Data

Store_Num | Product | Location | Days_Supply | Units_in_Whse
1 | A | East St | 95.51384840090363 | 4
1 | B | East St | 99.76206735334321 | 8
1 | C | East St | 9.687511276272254 | 2
1 | D | East St | 62.56415892234213 | 8
1 | E | East St | 44.98447075782575 | 8
1 | F | East St | 35.8070950761072 | 0
1 | G | East St | 19.87588664692526 | 2
1 | H | East St | 39.55751280672537 | 4
1 | I | East St | 9.471635562578395 | 4
1 | J | East St | 79.30068747207075 | 4
1 | K | East St | 82.20544501953707 | 0
2 | A | 6th Ave | 74.03148261340374 | 3
2 | B | 6th Ave | 82.32310541869137 | 4
2 | C | 6th Ave | 77.8085108691669 | 6
2 | D | 6th Ave | 13.04445215436285 | 2
2 | E | 6th Ave | 83.78751378617304 | 2
2 | F | 6th Ave | 36.84398740696793 | 7
2 | G | 6th Ave | 14.58142501880557 | 6
2 | H | 6th Ave | 81.55376891369829 | 1
2 | I | 6th Ave | 5.711553037364059 | 2
2 | J | 6th Ave | 79.50528526896544 | 10
2 | K | 6th Ave | 64.70922644993426 | 9
3 | A | Stafford | 91.79744092757333 | 1
3 | B | Stafford | 57.15853658853727 | 4
3 | C | Stafford | 18.62215750926151 | 2
3 | D | Stafford | 64.63575453176924 | 3
3 | E | Stafford | 35.5198975762683 | 1
3 | F | Stafford | 10.69370555274691 | 4
3 | G | Stafford | 11.91435650361798 | 7
3 | H | Stafford | 79.51639836822689 | 2
3 | I | Stafford | 96.25934201340183 | 9
3 | J | Stafford | 50.51121632277651 | 3
3 | K | Stafford | 14.65586663162526 | 5
4 | A | Manhattan | 99.01501066259073 | 2
4 | B | Manhattan | 29.32478514605501 | 0
4 | C | Manhattan | 42.88401888993578 | 2
4 | D | Manhattan | 49.87831712599626 | 9
4 | E | Manhattan | 6.071704090158025 | 1
4 | F | Manhattan | 70.47553881459834 | 1
4 | G | Manhattan | 20.78042457238807 | 1
4 | H | Manhattan | 52.3076432188021 | 7
4 | I | Manhattan | 15.40665073259078 | 8
4 | J | Manhattan | 52.2301024303036 | 5
4 | K | Manhattan | 99.30839863197333 | 7
5 | A | Ridgewood | 99.30306082649105 | 7
5 | B | Ridgewood | 67.86654143376228 | 5
5 | C | Ridgewood | 83.76736962029719 | 8
5 | D | Ridgewood | 41.90083117434358 | 4
5 | E | Ridgewood | 37.42606033349607 | 9
5 | F | Ridgewood | 66.10016094601308 | 6
5 | G | Ridgewood | 43.60657644043524 | 1
5 | H | Ridgewood | 78.4805439919761 | 6
5 | I | Ridgewood | 8.105258143444939 | 3
5 | J | Ridgewood | 84.0234090696776 | 5
5 | K | Ridgewood | 90.58885846626836 | 4
Spreadsheet: 2c8e6294-d2b0-472f-a46b-45b232fbe2e6
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 | Unnamed: 12 | Unnamed: 13 | Unnamed: 14 | Unnamed: 15 | Unnamed: 16 | Unnamed: 17 | Unnamed: 18 | Unnamed: 19 | Unnamed: 20 | Unnamed: 21 | Unnamed: 22 | Unnamed: 23 | Unnamed: 24 | Unnamed: 25 | Unnamed: 26 | Unnamed: 27 | Unnamed: 28 | Unnamed: 29
Figure S7A: genetic loci in C. metallidurans CH34 involved in sulfur oxidation
 |  | Rmet_3416 |  |  | Rmet_3417 |  |  | Rmet_3418 |  |  | Rmet_3419 |  |  | [NAME] |  |  |  | Rmet_3422 |  |  | Rmet_3423 |  |  |  |  | Rmet_3426 |  |  | Rmet_3427
 |  | Rmet_4891 |  |  | Rmet_4892
Spreadsheet: 77477d1277932355-excel-2003-deleting-rows-shortens-references-from-other-worksheets-service-dispatch-w-tabs
Sheet: data

HELPER
0-1
0.25-1
0.3-1
0.5-1
0.5-2
0.5-3
0.5-4
0.5-5
0.5-6
0.5-7
0.5-8
0.5-9
0.5-10
0.5-11
0.5-12
0.5-13
0.5-14
0.5-15
0.5-16
0.5-17
0.5-18
0.5-19
0.5-20
0.5-21
0.5-22
0.5-23
0.5-24
0.5-25
0.5-26
0.6-1
0.6-2
0.7-1
0.7-2
0.75-1
0.75-2
0.75-3
0.79-1
0.8-1
0.8-2
0.8-3
0.9-1
1-1
1-2
1-3
1-4
1-5
1-6
1-7
1-8
1-9
1-10
1-11
1-12
1-13 |  | RANK
1-14 |  | 2
1-15 |  | 4
1-16 |  | 9
1-17 |  | 8
1-18 |  | 7
1-19 |  | 5
1-20 |  | 3
1-21 |  | 6
1-22 |  | 1
1-23
1-24
1-25
1-26
1-27
1-28
1-29
1-30
1-31
1-32
1-33
1-34
1-35
1-36
1.1-1
1.25-1
1.3-1
1.3-2
1.3-3
1.5-1
1.5-2
1.5-3
1.5-4
1.5-5
1.5-6
1.5-7
1.5-8
1.5-9
1.5-10
1.5-11
1.6-1
1.7-1
1.8-1
1.8-2
1.8-3
1.8-4
1.8-5
1.8-6
1.8-7
1.8-8
1.85-1
2-1
2-2
2-3
2-4
2-5
2-6
2-7
2-8
2-9
2-10
2.05-1
2.1-1
2.1-2
2.1-3
2.1-4
2.1-5
2.1-6
2.1-7
2.3-1
2.3-2
2.3-3
2.3-4
2.5-1
2.5-2
2.5-3
2.5-4
2.5-5
2.5-6
2.5-7
2.5-8
2.5-9
2.65-1
2.7-1
2.7-2
2.7-3
2.8-1
2.8-2
2.8-3
2.8-4
2.8-5
2.8-6
2.8-7
2.9-1
2.9-2
3-1
3-2
3-3
3-4
3-5
3.1-1
3.1-2
3.2-1
3.2-2
3.2-3
3.21-1
3.3-1
3.3-2
3.3-3
3.3-4
3.65-1
3.76-1
4-1
4-2
4-3
4-4
4-5
4-6
4.2-1
4.5-1
4.6-1
4.7-1
5.5-1
5.6-1
5.8-1
5.9-1
6-1
6.5-1
7-1
8.2-1
8.7-1
9-1
9-2
9.8-1
10-1
10.25-1
13.75-1
14.5-1
20.5-1
RS-1
#N/A
#N/A
#N/A
RS-4
RS-5
WARR-1
WARR-2
WARR-3
WARR-4
WARR-5
WARR-6
WARR-7
WARR-8
WARR-9
WARR-10
WARR-11
WARR-12
WARR-13
WARR-14
WARR-15
WARR-16
WARR-17
WARR-18
WARR-19
WARR-20
-1
-1
-1
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-1
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-1
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-1
-1
-1
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-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
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-1
-1
-1
-1
-1
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-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
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-1
-1
-1
-1
-1
-1
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-1
-1
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-1
-1
-1
-1
Spreadsheet: 802650d1666958360-combine-data-in-2-rows-into-1-single-row-ef1594_tennis-data
Sheet: WTA-DATA

 |  |  |  |  |  |  | MATCH STATS
TOURNAMENT | TOURNAMENT YEAR | SURFACE | MATCH DATE | ROUND | PLAYER | MONEYLINE EU | MATCH RESULT | MATCH  STATUS | MATCH SCORE | SET #1 | SET #2 | SET #3
Wimbledon | 2021 | Grass | 06/29/2021 | R128 | Ashleigh Barty | 1.05 | Win | Completed | 2 | 6 | 6 | 6
Wimbledon | 2021 | Grass | 06/29/2021 | R128 | [NAME] | 11 | Lose | Completed | 1 | 1 | 7 | 1
Wimbledon | 2021 | Grass | 06/28/2021 | R128 | [NAME] | 1.11 | Win | Completed | 2 | 6 | 6
Wimbledon | 2021 | Grass | 06/28/2021 | R128 | [NAME] | 6.5 | Lose | Completed | 0 | 1 | 4
Wimbledon | 2021 | Grass | 06/30/2021 | R128 | [NAME] | 1.44 | Win | Completed | 2 | 6 | 2 | 6
Wimbledon | 2021 | Grass | 06/30/2021 | R128 | [NAME] | 2.75 | Lose | Completed | 1 | 3 | 6 | 3
Wimbledon | 2021 | Grass | 06/28/2021 | R128 | [NAME] | 1.33 | Win | Completed | 2 | 6 | 6
Wimbledon | 2021 | Grass | 06/28/2021 | R128 | [NAME] | 3.4 | Lose | Completed | 0 | 4 | 2
Wimbledon | 2021 | Grass | 06/30/2021 | R128 | Alize Cornet | 2.2 | Win | Completed | 2 | 6 | 6
Wimbledon | 2021 | Grass | 06/30/2021 | R128 | Bianca Andreescu | 1.66 | Lose | Completed | 0 | 2 | 1
Wimbledon | 2021 | Grass | 06/29/2021 | R128 | [NAME] | 7 | Win | Retired |  | 3
Wimbledon | 2021 | Grass | 06/29/2021 | R128 | [NAME] | 1.1 | Lose | Retired |  | 3
Wimbledon | 2021 | Grass | 06/28/2021 | R128 | [NAME] | 1.25 | Win | Completed | 2 | 6 | 6
Wimbledon | 2021 | Grass | 06/28/2021 | R128 | [NAME] | 4 | Lose | Completed | 0 | 4 | 4
Wimbledon | 2021 | Grass | 06/28/2021 | R128 | Sloane Stephens | 4.5 | Win | Completed | 2 | 6 | 6
Wimbledon | 2021 | Grass | 06/28/2021 | R128 | [NAME] | 1.2 | Lose | Completed | 0 | 3 | 4
Wimbledon | 2021 | Grass | 06/30/2021 | R128 | [NAME] | 5.5 | Win | Completed | 2 | 6 | 6
Wimbledon | 2021 | Grass | 06/30/2021 | R128 | Belinda Bencic | 1.14 | Lose | Completed | 0 | 3 | 3
Wimbledon | 2021 | Grass | 06/28/2021 | R128 | [NAME] | 1.11 | Win | Completed | 2 | 6 | 6
Wimbledon | 2021 | Grass | 06/28/2021 | R128 | [NAME] | 6.5 | Lose | Completed | 0 | 0 | 1
Wimbledon | 2021 | Grass | 06/29/2021 | R128 | Karolina Pliskova | 1.3 | Win | Completed | 2 | 7 | 6
Wimbledon | 2021 | Grass | 06/29/2021 | R128 | [NAME] | 3.5 | Lose | Completed | 0 | 5 | 4
Wimbledon | 2021 | Grass | 06/30/2021 | R128 | [NAME] | 1.16 | Win | Completed | 2 | 6 | 6
Wimbledon | 2021 | Grass | 06/30/2021 | R128 | [NAME] | 5 | Lose | Completed | 0 | 1 | 3
Wimbledon | 2021 | Grass | 06/29/2021 | R128 | [NAME] | 1.11 | Win | Completed | 2 | 6 | 6
Wimbledon | 2021 | Grass | 06/29/2021 | R128 | [NAME] | 6.5 | Lose | Completed | 0 | 1 | 3
Wimbledon | 2021 | Grass | 06/29/2021 | R128 | [NAME] | 1.5 | Win | Completed | 2 | 6 | 6
Wimbledon | 2021 | Grass | 06/29/2021 | R128 | [NAME] | 2.62 | Lose | Completed | 0 | 3 | 2
Spreadsheet: 826473d1682028074-pull-data-from-one-sheet-to-another-from-last-data-entered-in-a-column-and-the-12-24-above-ak-sample3
Sheet: COVER-24

 | AK |  |  |  |  |  | unlock 1111 |  |  |  |  |  |  | combo | Cover
Well No. | 12H | 13H | 14H | 15H | Total |  |  |  |  |  |  |  |  | combo
Start Date: |  |  |  |  |  |  |  |  |  |  |  |  |  | combo
Online/Hrs |  |  |  |  |  |  |  |  |  |  |  |  |  | combo
Choke |  |  |  |  |  |  |  |  |  |  |  |  |  | lt f
[NAME] |  |  |  |  |  |  |  |  |  |  |  |  |  | lt p
Casing PSI |  |  |  |  |  |  | Copy and paste table into email body |  |  |  |  |  |  | fork
Surface Csg |  |  |  |  |  |  |  |  |  |  |  |  |  | lift
[NAME] |  |  |  |  |  |  |  |  |  |  |  |  |  | trash
Water / Day |  |  |  |  |  | Clear | enter water totals in this row.  the row above where 0 is will calculate bbl per hour |  |  |  |  |  |  | ft
[NAME] |  |  |  |  |  |  |  |  |  |  |  |  |  | ft
Oil / Day |  |  |  |  |  |  | enter oil totals in this row.  the row above where 0 is will calculate bbl per hour |  |  |  |  |  |  | plug C
[NAME] to sales |  |  |  |  |  |  |  |  |  |  |  |  |  | plug C
Gas / Day |  |  |  |  |  |  | enter gas totals in this row.  the row above where 0 is will calculate bbl per hour |  |  |  |  |  |  | plug C
Inj / Day | off | off | off |  |  |  |  |  |  |  |  |  |  | st
 |  |  |  |  |  |  |  |  |  |  |  |  |  | st
Yesterday Lact |  |  |  |  |  |  |  |  |  |  |  |  |  | st
Notes: | Hello how are you? Oh Im doing ok. XXXX OPEN WELL XX/128  S/I XXXX psi. Going to the store, I'll be back soon. see you soon. |  |  |  |  |  | gfhghcghghgvhvgvgvhgvhvghvgvgh
 | PM
 | 12H | 13H | 14H | 15H
GAS
WATER
OIL
 | AM |  |  |  |  |  | lact total
 | 12H | 13H | 14H | 15H |  |  | 0430 | 24 b4 |  |  |  |  | IF(g28-h28<0,0,g28-h28)
GAS |  |  |  |  |  | 750 |  | 118029
WATER |  |  |  |  |  | 760
OIL |  |  |  |  |  |  |  | Total
 |  |  |  |  |  |  |  |  | 0
Spreadsheet: 120805d1315523596-selector-guide-example-1
Sheet: Sheet1

Select: | 1) Industry |  |  | 2) Market Segment
 | Industry_1 |  |  | Packaging
Name | Property 1 | Description | Property 2 | Property 3 | Property 4 | Property 5 | Property 6
 |  |  |  |  |  |  |  |  |  |  |  |  |  | Industry_1 | Industry_2 | Industry_3
 |  |  |  |  |  |  |  |  |  |  |  | Industries |  | Food | Architectural | Med
 |  |  |  |  |  |  |  |  |  |  |  | Industry_1 |  | Industrial | Signage | Industrial
 |  |  |  |  |  |  |  |  |  |  |  | Industry_2 |  | HBA | Protective Film | Auto.
 |  |  |  |  |  |  |  |  |  |  |  | Industry_3 |  | Packaging | Traffic | B&C
 |  |  |  |  |  |  |  |  |  |  |  |  |  | Security | Vehicle Wrap | Elec.
 |  |  |  |  |  |  |  |  |  |  |  |  |  | [NAME]
Spreadsheet: 704067d1605342373-in-a-summary-sheet-different-ways-sum-up-all-values-as-per-criteria-from-multiple-sheets-sum-up-all-amounts-as-per-different-criterias
Sheet: June

Date | Name | Amount
2020-06-01 00:00:00 | ABC | 100
2020-06-01 00:00:00 | ABC | 65
2020-06-01 00:00:00 | ASD | 25
2020-06-01 00:00:00 | ABC | 100
2020-06-03 00:00:00 | BCD | 20
2020-06-06 00:00:00 | FGH | 65
2020-06-06 00:00:00 | FGH | 25
2020-06-06 00:00:00 | FGH | 145