tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 842595d1694619650-how-to-match-two-columns-in-two-different-work-sheets-and-fill-specific-rows-test-question
Sheet: Page1

 | Highlighted | Highlighted |  |  | Highlighted |  | Highlighted |  | Highlighted | Highlighted |  |  |  |  |  |  | Highlighted | Highlighted
Sample worksheet page 1 and page 2 would be the raw data while page 3 will be the final product | Date | Area | 1 | 2 | Serial | 3 | Statistics | 4 | Number | Code | 5 | 6 | 7 | 8 | 9 | 10 | Assosciate | Time
 | 2020-08-17 00:00:00 | 1a | 1564587 | 9874 | 188857 | 1564587 | One | 1564587 | 9 | AOL | 1564587 | 1564587 | 1564587 | 1564587 | 1564587 | 1564587 | [NAME] | 00:18:00
 | 2020-08-18 00:00:00 | 1a | 13567496 | 975643 | 858897 | 13567496 | Two | 13567496 | 9 | BOL | 13567496 | 13567496 | 13567496 | 13567496 | 13567496 | 13567496 | [NAME] | 03:38:00
 | 2020-08-05 00:00:00 | 3a | 1354648657 | 98324 | 188857 | 1354648657 | One | 1354648657 |  | AOL | 1354648657 | 1354648657 | 1354648657 | 1354648657 | 1354648657 | 1354648657 | [NAME] | 02:59:00
 | 2021-07-04 00:00:00 | 2a | 1366546 | 984331 | 511197 | 1366546 | Three | 1366546 |  | COL | 1366546 | 1366546 | 1366546 | 1366546 | 1366546 | 1366546 | [NAME] | 04:00:00
 | 2021-03-05 00:00:00 | 3a | 134568 | 9843301 | 511197 | 134568 | Three | 134568 | 9 | COL | 134568 | 134568 | 134568 | 134568 | 134568 | 134568 | Sierra | 00:01:00
 | 2020-04-07 00:00:00 | 2a | 1357 | 98736513 | 858897 | 1357 | Two | 1357 |  | BOL | 1357 | 1357 | 1357 | 1357 | 1357 | 1357 | Sierra | 00:15:00
 | 2023-07-01 00:00:00 | 2a | 1357 | 98736513 | 858897 | 1357 | Two | 1357 |  |  | 1357 | 1357 | 1357 | 1357 | 1357 | 1357
 | 2018-01-01 00:00:00 | 5a | 35479 | 6549892 | 188850 | 35479 | Four | 35479 | 4 | DOL | 35479 | 35479 | 35479 | 35479 | 35479 | 35479 | [NAME] | 01:51:00
 | 2019-04-07 00:00:00 | 4a | 697856 | 984325 | 355570 | 697856 | Four | 697856 | 5 | DOL | 697856 | 697856 | 697856 | 697856 | 697856 | 697856 | Victor | 02:02:00
 |  |  |  |  |  | Hello [NAME], I am trying to match two columns in different worksheets and if they match grab specific columns in those worksheets.
 |  |  |  |  |  | The column it would check would be column F (serial) on sheet "Page1" and it would check the match on "Page2" column H (serial). If those conditions are met I would like it to pull specific columns from both sheets.
Spreadsheet: 329888d1404446921-need-formula-in-aging-due-date-formla
Sheet: Sheet1

Due Date | Base Date | Aging Days | Aging | Answer
2014-06-25 00:00:00 | 2014-06-30 00:00:00 | -5 | 1-30 Days
2014-05-09 00:00:00 | 2014-06-30 00:00:00 | -52 | 31-60 days
2014-04-24 00:00:00 | 2014-06-30 00:00:00 | -67 | 61-90 days
2014-07-06 00:00:00 | 2014-06-30 00:00:00 | 6 | Current
2013-05-20 00:00:00 | 2014-06-30 00:00:00 | -406 | more than 90 days
Spreadsheet: 813997d1674099156-fix-conditional-format-and-formula-clean-up-rates-help2
Sheet: 2026

2026 | A | B | C | D | E | F | G | H | I | J | K | L
12 | 42 | 42 | 42 | 42 | 42 | 42 | 42 | 42 | 42 | 42 | 42 | 42
11 | 41 | 41 | 41 | 41 | 41 | 41 | 41 | 41 | 41 | 41 | 41 | 41
10 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40
9 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39 | 39
8 | 38 | 38 | 38 | 38 | 38 | 38 | 38 | 38 | 38 | 38 | 38 | 38
7 | 37 | 37 | 37 | 37 | 37 | 37 | 37 | 37 | 37 | 37 | 37 | 37
6 | 36 | 36 | 36 | 36 | 36 | 36 | 36 | 36 | 36 | 36 | 36 | 36
5 | 35 | 35 | 35 | 35 | 35 | 35 | 35 | 35 | 35 | 35 | 35 | 35
4 | 34 | 34 | 34 | 34 | 34 | 34 | 34 | 34 | 34 | 34 | 34 | 34
3 | 33 | 33 | 33 | 33 | 33 | 33 | 33 | 33 | 33 | 33 | 33 | 33
2 | 32 | 32 | 32 | 32 | 32 | 32 | 32 | 32 | 32 | 32 | 32 | 32
1 | 31 | 31 | 31 | 31 | 31 | 31 | 31 | 31 | 31 | 31 | 31 | 31
2026 | A | B | C | D | E | F | G | H | I | J | K | L
12 | 30 | 30 | 30 | 30 | 30 | 30 | 30 | 30 | 30 | 30 | 30 | 30
11 | 29 | 29 | 29 | 29 | 29 | 29 | 29 | 29 | 29 | 29 | 29 | 29
10 | 28 | 28 | 28 | 28 | 28 | 28 | 28 | 28 | 28 | 28 | 28 | 28
9 | 27 | 27 | 27 | 27 | 27 | 27 | 27 | 27 | 27 | 27 | 27 | 27
8 | 26 | 26 | 26 | 26 | 26 | 26 | 26 | 26 | 26 | 26 | 26 | 26
7 | 25 | 25 | 25 | 25 | 25 | 25 | 25 | 25 | 25 | 25 | 25 | 25
6 | 24 | 24 | 24 | 24 | 24 | 24 | 24 | 24 | 24 | 24 | 24 | 24
5 | 23 | 23 | 23 | 23 | 23 | 23 | 23 | 23 | 23 | 23 | 23 | 23
4 | 22 | 22 | 22 | 22 | 22 | 22 | 22 | 22 | 22 | 22 | 22 | 22
3 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21 | 21
2 | 20 | 20 | 20 | 20 | 20 | 20 | 20 | 20 | 20 | 20 | 20 | 20
1 | 19 | 19 | 19 | 19 | 19 | 19 | 19 | 19 | 19 | 19 | 19 | 19
Spreadsheet: 275300d1383438430-pull-text-from-2-columns-based-on-finding-text-in-other-columns-example
Sheet: Sheet2

 |  | data I would like
 |  | count amount and type of "NO" s by vendor |  |  |  |  | then I need to sum how many times the vendor has a NO
 |  | vendor | po | no certs | no mm |  | vendor count
 |  | widgets1 | 56 | 1 |  |  | 1
 |  | gadgets2 | 456 | 1 |  |  | 1
 |  | med1 | 12 | 1 | 1 |  | 2
 |  | med2 | 29 |  | 1 |  | 1
 |  | widgets1 | 101 | 1 |  |  | 2
 |  | med1 | 12 | 1 |  |  | 3
 |  |  |  |  |  | then graph their total count
Spreadsheet: 231504d1367098248-two-misaligned-cells-16-team-planning-bracket
Sheet: 152

az152 | Aztec | 1
bl152 | Bloomfield
cib152 | Cibola
cle152 | Cleveland
far152 | Farmington
gal152 | Gallup
grt152 | Grants | 8
kc152 | [NAME]
miy152 | Miyamura | 5
new152 | Newcomb
pv152 | Piedra Vista
rr152 | Rio Rancho
sf152 | Santa Fe
ship152 | Shiprock
vv152 | [NAME] | 4
win152 | Wingate
 |  | 3
Paste Value - CTRL-N
 |  | 6
 |  | 7
 |  | 2
Spreadsheet: 852155d1702252289-creating-equation-with-some-rules-to-follow-runner-data
Sheet: Sheet1

 | Exact data (objective and actual data) |  |  |  |  | Coach recommendation (subjective) |  | SUMMARY OUTPUT
Person | Age | BMI | Weekly mileage | Average Heart Rate % | Time spent in pulse zone 3 in % | Recommended running distance %
Person 1 | 18 | 29 | 22 | 80 | 60 | 90 |  | Regression Statistics
Person 2 | 54 | 19 | 28 | 72 | 53 | 100 |  | Multiple R | 0.999640751527961
Person 3 | 33 | 22 | 31 | 77 | 80 | 110 |  | R Square | 0.9992816321153865
Person 4 | 47 | 27 | 17 | 92 | 12 | 100 |  | Adjusted R Square | 0.7987069378076956
Person 5 | 23 | 29 | 15 | 91 | 16 | 100 |  | Standard Error | 3.907876087063724
Person 6 | 25 | 21 | 40 | 83 | 55 | 110 |  | Observations | 10
Person 7 | 38 | 24 | 14 | 81 | 50 | 112
Person 8 | 44 | 24 | 27 | 90 | 15 | 100 |  | ANOVA
Person 9 | 46 | 26 | 24 | 82 | 64 | 100 |  |  | df | SS | MS | F | [NAME]
Person 10 | 58 | 25 | 16 | 84 | 61 | 107 |  | Regression | 5 | 106216.6425224408 | 21243.32850448816 | 1391.044412645242 | 1.444531389073941e-06
 |  |  |  |  |  |  |  | Residual | 5 | 76.35747755922242 | 15.27149551184448
 |  |  |  |  |  |  |  | Total | 10 | 106293
 |  |  |  |  |  |  |  |  | Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0%
Note: Recommended running distance is in comparison with an existing plan. Therefore, 90% would mean decrease of 10% and 112% would mean increase of 12% compared to the base. |  |  |  |  |  |  |  | Intercept | 0 | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A
 |  |  |  |  |  |  |  | Age | -0.2096139224715385 | 0.1307108853049208 | -1.60364549580208 | 0.1696963914518524 | -0.5456169499563096 | 0.1263891050132326 | -0.5456169499563096 | 0.1263891050132326
 |  |  |  |  |  |  |  | BMI | -3.936546983842586 | 0.9132568144001327 | -4.310449067306751 | 0.007639379043688826 | -6.284148362210653 | -1.58894560547452 | -6.284148362210653 | -1.58894560547452
 |  |  |  |  |  |  |  | Weekly mileage | -0.7266855505665902 | 0.2767948969188292 | -2.625357471021919 | 0.04679440412882305 | -1.438209484782959 | -0.01516161635022151 | -1.438209484782959 | -0.01516161635022151
 |  |  |  |  |  |  |  | Average Heart Rate % | 2.420455583540944 | 0.3488250245595494 | 6.938881711818638 | 0.0009544744832777081 | 1.523772311592775 | 3.317138855489114 | 1.523772311592775 | 3.317138855489114
 |  |  |  |  |  |  |  | Time spent in pulse zone 3 in % | 0.5013720644772767 | 0.07957692501650071 | 6.300470448855801 | 0.001481921571752807 | 0.2968130664940669 | 0.7059310624604864 | 0.2968130664940669 | 0.7059310624604864
Spreadsheet: 35173d1232698219-expanded-vlookup-issue-vlookups-test1
Sheet: Sheet1

 |  |  |  |  |  |  |  | Monthly Listing
 | Month | Name | Anniversary | Birthday |  |  | Month | Name | Anniversary | Birthday
 | January | [NAME] | 2004-01-09 00:00:00 | 1980-02-01 00:00:00 |  |  | March | [NAME] | 2008-03-04 00:00:00 | 1959-02-09 00:00:00
 | January | [NAME] | 2002-01-02 00:00:00 | 1981-03-13 00:00:00 |  |  |  | Roe | 2002-03-01 00:00:00 | 1983-03-12 00:00:00
 | January | Jan | 2008-01-01 00:00:00 | 1972-01-03 00:00:00 |  |  |  | [NAME] | 2003-03-15 00:00:00 | 1956-03-21 00:00:00
 | January | [NAME] | 2001-01-23 00:00:00 | 1983-01-02 00:00:00 |  |  |  | Anna | 2005-03-03 00:00:00 | 1959-02-11 00:00:00
 | January | [NAME] | 2000-01-21 00:00:00 | 1977-03-03 00:00:00 |  |  |  | [NAME] | 2001-03-13 00:00:00 | 1981-03-19 00:00:00
 | February | [NAME] | 2001-02-14 00:00:00 | 1959-01-04 00:00:00
 | February | [NAME] | 2002-02-22 00:00:00 | 1974-03-02 00:00:00
 | February | Samantha | 2003-02-26 00:00:00 | 1982-02-13 00:00:00
 | February | Rebecca | 2007-02-01 00:00:00 | 1981-03-28 00:00:00
 | March | [NAME] | 2008-03-04 00:00:00 | 1959-02-09 00:00:00
 | March | Roe | 2002-03-01 00:00:00 | 1983-03-12 00:00:00
 | March | [NAME] | 2003-03-15 00:00:00 | 1956-03-21 00:00:00
 | March | Anna | 2005-03-03 00:00:00 | 1959-02-11 00:00:00
 | March | [NAME] | 2001-03-13 00:00:00 | 1981-03-19 00:00:00
Spreadsheet: 0631d7b6-9649-410f-8baf-7baf5f9d96bf
Sheet: +45 Seeding List

45+ MS (51)
No | Member ID | LastName | FirstName | Country | Gender | Seed
1 | 2723 | VAISANEN | Heikki | FIN | M | 1
2 | 54029 | [NAME] | [NAME] | IND | M | 2
3 | 7579 | GUSTAFSSON | Magnus | SWE | M | 3/4
4 | 8218 | SCHRADER | [NAME] | GER | M | 3/4
5 | 1079 | SORENSEN | Bo | DEN | M | 5/8
6 | 7622 | PAWELEK | Uwe | GER | M | 5/8
7 | 67279 | KIMURA | Takashi | JPN | M | 5/8
8 | 6983 | CARLSSON | Nils | SWE | M | 5/8
45+ WS (32)
No | Member ID | LastName | FirstName | Country | Gender | Seed
1 | 3079 | GRZEJDAK | Dorota | POL | F | 1
2 | 747 | TANIFUJI | Chika | JPN | F | 2
3 | 46 | BLAIR | Betty | ENG | F | 3/4
4 | 88320 | SCHNEIDER | Silke | GER | F | 3/4
5 | 90401 | JEROME | Therese | FRA | F | 5/8
6 | 82851 | KROON | [NAME] | NED | F | 5/8
7 | 89617 | VILLARS | Bettina | SUI | F | 5/8
8 | 137 | FENG | [NAME] | TPE | F | 5/8
45+ MD (33)
No | Member ID 1 | Member ID 2 | Lastname 1 | Firstname 1 | Lastname 2 | Firstname 2 | Country 1 | Country 2 | Gender 1 | Gender 2 | Seed
1 | 73347 | 350 | AMPUNSUWAN | Wattana | MAKKASASITHORN | Surachai | THA | THA | M | M | 1
2 | 58514 | 51407 | AUSTIN | Jon | GOLDS | Mark | ENG | ENG | M | M | 2
3 | 87687 | 55055 | WIDJAYA | Effendy | HO | Hendry Sapurta | INA | INA | M | M | 3/4
4 | 67382 | 8218 | KLEIBEL | Matthias | SCHRADER | [NAME] | GER | GER | M | M | 3/4
5 | 78141 | 411 | BJORKLER | Patrik | OLSSON | [NAME] | SWE | SWE | M | M | 5/8
6 | 1079 | 81948 | SORENSEN | Bo | STRYG | Geert | DEN | DEN | M | M | 5/8
7 | 2801 | 592 | PERRAULT | [NAME] | VALLET | Fabrice | FRA | FRA | M | M | 5/8
8 | 97122 | 54029 | AKULA | Venkataraju | [NAME] | [NAME] | IND | IND | M | M | 5/8
45+ WD (26)
No | Member ID 1 | Member ID 2 | Lastname 1 | Firstname 1 | Lastname 2 | Firstname 2 | Country 1 | Country 2 | Gender 1 | Gender 2 | Seed
1 | 137 | 1120 | FENG | [NAME] | KANG | [NAME] | TPE | TPE | F | F | 1
2 | 77705 | 46 | MILLER | Debora | BLAIR | Betty | ENG | ENG | F | F | 2
3 | 3710 | 82851 | VAN DER WERFF | [NAME] | KROON | [NAME] | NED | NED | F | F | 3/4
4 | 97710 | 3986 | BLOMSTERBERG | Helle | KOLDSOE | Jeanette | DEN | DEN | F | F | 3/4
45+ XD  (36)
No | Member ID 1 | Member ID 2 | Lastname 1 | Firstname 1 | Lastname 2 | Firstname 2 | Country 1 | Country 2 | Gender 1 | Gender 2 | Seed
1 | 51407 | 77705 | GOLDS | Mark | MILLER | Debora | ENG | ENG | M | F | 1
2 | 97710 | 85883 | BLOMSTERBERG | Helle | PETERSEN | [NAME] | DEN | DEN | F | M | 2
3 | 728 | 3097 | SODERBERG | [NAME] | GUNNERS | [NAME] | SWE | SWE | M | F | 3/4
4 | 58514 | 98796 | AUSTIN | Jon | GILLARD | Vivienne | ENG | ENG | M | F | 3/4
5 | 5160 | 74611 | NILSSON | [NAME] | HEANEY | [NAME] | CAN | CAN | M | F | 5/8
6 | 8218 | 62874 | SCHRADER | [NAME] | WANG | Ye | GER | GER | M | F | 5/8
7 | 67279 | 98453 | KIMURA | Takashi | TAKANO | [NAME] | JPN | JPN | M | F | 5/8
8 | 72662 | 3079 | MICHNIEWICZ | Mariusz | GRZEJDAK | Dorota | POL | POL | M | F | 5/8
Spreadsheet: tracy_geaccone__40291__Daily Cash By BU Q3 Schwarz
Sheet: Q3 to Date

 | Enron Corp.
 | Net Cash Source / (Use)
 | Current Day and Month to Date
 | 3rd Quarter 2001
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2001-08-21 00:00:00
 |  |  |  |  | Total |  |  |  | MTD |  |  |  |  |  | Most
 |  |  |  |  | Q3 to Date | #[NAME]! |  | Sept | August |  | July |  |  |  | Current Day
 | Enron Transportation Services |  |  |  | 103.1 |  |  | 0 | 31.8 |  | 71.3 |  |  |  | -0.7
 | Portland General Electric |  |  |  | 0 |  |  | 0 | 0 |  | 0 |  |  |  | 0
 | Total Distribution |  |  |  | 103.1 |  |  | 0 | 31.8 |  | 71.3 |  |  |  | -0.7
 | Enron North America |  |  |  | -55.2 |  |  | 0 | 80.5 |  | -135.7 |  |  |  | 44.9
 | Enron South America |  |  |  | 0 |  |  | 0 | 0 |  | 0 |  |  |  | 0
 | Total Americas |  |  |  | -55.2 |  |  | 0 | 80.5 |  | -135.7 |  |  |  | 44.9
 | Europe |  |  |  | -42.9 |  |  | 0 | -106.6 |  | 63.7 |  |  |  | -0.1
 | Global Markets |  |  |  | 50.6 |  |  | 0 | 89 |  | -38.4 |  |  |  | -0.3
 | Industrial Markets |  |  |  | -14.6 |  |  | 0 | -4.2 |  | -10.4 |  |  |  | 1.3
 | Networks |  |  |  | -55.9 |  |  | 0 | -24.6 |  | -31.3 |  |  |  | -2
 | Other |  |  |  | -0.2 |  |  | 0 | 0 |  | -0.2 |  |  |  | 0
 | Total Traditional Wholesale |  |  |  | -118.2 |  |  | 0 | 34.1 |  | -152.3 |  |  |  | 43.8
 | Enron Broadband Services |  |  |  | -41.3 |  |  | 0 | -26.9 |  | -14.4 |  |  |  | -3.6
 | EGEP |  |  |  | 4.2 |  |  | 0 | 3.8 |  | 0.4 |  |  |  | 0
 | Other Wholesale (EE&CC) |  |  |  | 27.3 |  |  | 0 | -59.6 |  | 86.9 |  |  |  | 8.8
 | Total Wholesale |  |  |  | -128 |  |  | 0 | -48.6 |  | -79.4000000000001 |  | 0 | 0 | 49
 | Enron Global Assets |  |  |  | 156.93 |  |  | 0 | 93.6 |  | 63.33 |  |  |  | 0
 | Enron Energy Services |  |  |  | -149.1 |  |  | 0 | -57.1 |  | -92 |  |  |  | -14.8
 | Corp |  |  |  | 21.30000000000018 |  |  | 0 | -732.1 |  | 753.4 |  |  |  | 72.4
 | Other |  |  |  | -1.5 |  |  | 0 | -1.5 |  | 0 |  |  |  | 0
 | Total Enron* |  |  |  | 2.730000000000018 |  |  | 0 | -713.9 |  | 716.63 |  |  |  | 105.9
 | Does NOT include Canada, London or any other Enron banking center.
 | Certain items (e.g. payroll) that are paid by Corp on behalf of a business unit have NOT been allocated to the business units.
 | *Includes an inflow in the month of July of $915 MM and an outflow in the month of August of $915 MM, all related to the
 | Marlin refinancing.
Spreadsheet: 0c6c407d-0b08-41c9-b205-84edfbc1a949
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | TIB-The Independent BankersBank | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | .25 cost to Price to Waive Escrows | Unnamed: 7
 |  | 350 [NAME]., [NAME] |  |  |  | LTV must be 80% or less to qualify.
 |  | [PHONE] Toll Free//[PHONE] fax
 |  | Rate Sheet Effective: |  |  | 2013-09-03 09:38:33.610000
Product: Conv-Conforming Fixed Rate 30 Year |  |  |  |  |  | Loan Level Price Adjustment
Rate | 15 Day | 30 Day | 45 Day | 60 Day |  | Price adjustments are cumulative
4.875 | 101.723 | 101.598 | 101.473 | 101.098 |  | and are added to price quote
4.75 | 101.243 | 101.118 | 100.993 | 100.618
4.625 | 100.526 | 100.401 | 100.276 | 99.901 |  | Note: | Refer To Price [NAME]
4.5 | 99.634 | 99.509 | 99.384 | 99.009 |  |  | For all Price Adjs
4.375 | 98.704 | 98.579 | 98.454 | 97.829
4.25 | 97.985 | 97.86 | 97.735 | 97.11
4.125 | 97.195 | 97.07 | 96.945 | 96.32
 |  |  |  |  |  | Please note availability of
 |  |  |  |  |  | TIB Servicing Retained Product
 |  |  |  |  |  | For Conventional Loans Only.
 |  |  |  |  |  | A .25 adjustment to SRP
 |  |  |  |  |  | Will apply.
Product: Conv-Conforming Fixed Rate 15 Year
Rate | 15 Day | 30 Day | 45 Day | 60 Day
4 | 101.96 | 101.835 | 101.71 | 101.335
3.875 | 101.245 | 101.12 | 100.995 | 100.62
3.75 | 100.555 | 100.43 | 100.305 | 99.93
3.625 | 100.179 | 100.054 | 99.929 | 99.554
3.5 | 99.633 | 99.508 | 99.383 | 98.758
3.375 | 98.911 | 98.786 | 98.661 | 98.036
3.25 | 98.139 | 98.014 | 97.889 | 97.264 |  | Minimum loan amount:
3.125 | 97.16 | 97.035 | 96.91 | 96.285 |  | TIB does not have a minimum loan
 |  |  |  |  |  | loan amount, however a 1.00% price
 |  |  |  |  |  | discount will apply to loan amounts
 |  |  |  |  |  | less than $39,999.00
 |  |  |  |  |  | 2010 Conforming Loan Limits
 |  |  |  |  |  | 1 Unit-$417,000
 |  |  |  |  |  | 2 Unit-$533,850
 |  |  |  |  |  | 3 Unit-$645,300
 |  |  |  |  |  | 4 Unit-$801,950
A SERVICE RELEASE PREMIUM WILL BE PAID IN [NAME] WITH THE ATTACHED SCHEDULE.
 |  | TIB-The Independent BankersBank
 |  | 350 [NAME]., [NAME]
 |  | [PHONE] Toll Free//[PHONE] fax
 |  | Rate Sheet Effective:
 |  |  |  |  |  | Loan Level Price Adjustment
Rate | 15 Day | 30 Day | 45 Day |  |  | Price adjustments are cumulative
 |  |  |  |  |  | & adj. Made to the price quote
EXPIRATION DATES:
15 DAY | 2013-09-17 09:38:33.610000
30 DAY | 2013-10-02 09:38:33.610000
45 DAY | 2013-10-17 09:38:33.610000
60 DAY | 2013-11-01 09:38:33.610000
90 DAY | 2013-12-01 09:38:33.610000
A SERVICE RELEASE PREMIUM WILL BE PAID IN [NAME] WITH THE ATTACHED SCHEDULE.
Spreadsheet: 695398d1600189240-workday-formula-and-calendar-2021-s1-pacing_guide-test
Sheet: PART 2 Course Information

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 |  | 66
 |  | 67
 |  | 68
 |  | 69
 |  | 70
 |  | 71
 |  | 72
 |  | 73
 |  | 74
 |  | 75
 |  | 76
 |  | 77
 |  | 78
 |  | 79
 |  | 80
 |  | 81
 |  | 82
 |  | 83
 |  | 84
 |  | 85
 |  | 86
 |  | 87
 |  | 88
 |  | 89
 |  | 90
Spreadsheet: 136859d1326851135-need-help-on-lookup-the-tabe-code-lookup-table
Sheet: TableOfRef

 | Rate Reference
 |  | Red or Blue | Black or White
 | Product 1 | Qty/7500+100 | N/A
 | Product 2 | Qty/2500+100 | 0
 | Product 3 | Qty/2500+250 | Qty/2500+56
 | Product 4 | Qty/2500+300 | Qty/2500+78
 | Product 5 | Qty/200+450
 | Product 6 | Qty/1200+256 | Qty/1200-94
 | Product 7 | Qty/2500+365 | Qty/2500+596
 | Product 8 | Qty/2000+962 | Qty/2000+45
 | Product 9 | Qty/2500+100 | 100
 | Product 10 | Qty1800+200 | 50
Spreadsheet: 858757d1707322582-help-sumif-multiple-tabs-example1
Sheet: March Group

 | Name | Reference | Recall 1 | Recall 2 | Recall 3 | Successful Recall Date |  |  |  | Month Summary
 | Individual 28 | 05321 |  |  |  |  |  |  |  |  |  | ( what results should show)
 | Individual 29 | 05322 |  |  |  | 2024-02-01 00:00:00 |  |  |  | Done Totals |  | 3 | (colum G, cells with a date)
 | Individual 30 | 05323
 | Individual 31 | 05324 |  |  |  |  |  |  |  | Outstanding Totals |  | 10 | (colum G, cells without a date)
 | Individual 32 | 05325
 | Individual 33 | 05326 |  |  |  | 2024-03-05 00:00:00
 | Individual 34 | 05327
 | Individual 35 | 05328
 | Individual 36 | 05329
 | Individual 37 | 05330
 | Individual 38 | 05331 |  |  |  | 2024-04-04 00:00:00
 | Individual 39 | 05332
 | Individual 40 | 05333
Spreadsheet: 30849d1226549275-pushing-data-across-column-when-new-data-it-entered-pushdata
Sheet: Sheet1

 | A |  | B | C | D | E | F | G | H | I | J | K
 | 12 |  | 12 | 18 | 16 | 15 | 12 | 18 | 10 | 15 | 16 | 18
Spreadsheet: 233142d1367628653-sales-order-form-from-a-master-product-list-excel-order-form
Sheet: Products

Quantity | Part number | Part name | List Price | Comments
 | A12345 | Widget | 10 | blue only
 | B23456 | Radio | 500 | Needs power cord. Order separately
 | C34567 | computer | 1000 | Comes with monitor
1 | D45678 | DVD Player | 250
 | E56789 | GPS system | 350
 | F67890 | LCD TV | 1299.99 | 40"
3 | G78901 | Printer | 149
 | H89101 | Ham sandwich | 6.5 | mustard or mayo
 | H89102 | Turkey Sandwich | 5.99
 | H89103 | [NAME] sandwich | 4.99
Spreadsheet: 098dc80d-69be-48e2-9354-75ff0c39967b
Sheet: Sheet1

Tournament Roster | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11
2013 MSYSA STATE CUP
 | TEAM NAME |  |  |  |  |  | AGE | U- | GENDER
 | COACH NAME
 | COACH E-MAIL |  |  |  |  |  | COACH PHONE
 | MANAGER [NAME]
 | MANAGER E-MAIL |  |  |  |  |  | MANAGER PHONE
 | TEAM COLOR |  |  |  |  |  | ALTERNATE COLOR
 | List Players in Alphabetical Order by Last Name First
 | LAST NAME |  | FIRST NAME | JERSEY NUMBER | POSITION | BIRTHDATE | GRAD. CLASS | HOMETOWN | CLUB PASS PLAYER? (Y/N) | IF YES, INDICATE ORIGINATING TEAM NAME | [NAME]
1
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7
8
9
10
11
12
13
14
15
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DO NOT CHANGE THE FORMATING OF THIS DOCUMENT
 | CLUB PASSCARDING WITHIN STATE CUP:
 | Club [NAME] is permitted within the MSYSA State Cup as long as all subsequent rules are met.
 |  | 1. A player may only play for one team in the MSYSA State Cup.
 |  | 2. A player may only club passcard for a team in the MSYSA State Cup if that team belongs to the same club as the player's primary team.
 |  | 3. A club passcarded player must appear on the team's frozen State Cup roster.
 |  | 4. A team must be able to demonstrate continuity between their league roster and State Cup roster by having a minimum of nine (9) players common to both rosters.
 | A "Club" is defined as an organization providing socer to youth players that is either a direct member of MSYSA or that registers player through an affiliated member.
 | At no time shall an affiliated member who functions as a "scheduling" league also be considered a club.
 | In the case where a club sets up one or more satellite clubs in the state, those satellite clubs may only be considered part of the main club if all the following criteria are met:
 |  | 1. The main club and satellite club have the same Board of Directors
 |  | 2. The main club and satellite club have the same Tax ID Number.
 |  | 3. The main club and satellite club are in the same MSYSA District as determined by the MSYSA Board of Directors.