tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 213861d1360678908-multiple-column-formula-season-2-placing-test
Sheet: Sheet1

Date | Location | Weather | Temp | 1st | 2nd | 3rd | 4th | 5th | 6th | 7th | 8th | 9th | 10th
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Rider
 |  |  |  | 10 | 6 | 3 | 22 | 72 | 48 | 67 | 16 | 48 | 20 |  | Most Placings | 2
 |  |  |  | 2 | 5 | 11 | 72 | 6 | 17 | 4 | 98 | 20 | 63 |  | 2nd in Placings | ?
 |  |  |  | 5 | 2 | 63 | 6 | 11 | 4 | 15 | 71 | 98 | 20 |  | 3rd in Placings | ?
 |  |  |  | 8 | 11 | 10 | 63 | 67 | 4 | 98 | 20 | 16 | 48 |  | 4th in Placings | ?
 |  |  |  | 11 | 2 | 5 | 23 | 8 | 6 | 20 | 4 | 12 | 17 |  | 5th in Palcings | ?
 |  |  |  | 63 | 5 | 10 | 2 | 4 | 19 | 20 | 6 | 48 | 12 |  | 6th in Placings | ?
 |  |  |  | 63 | 8 | 5 | 6 | 2 | 20 | 48 | 18 | 72 | 12 |  | 7th in Placings | ?
 |  |  |  | 98 | 2 | 5 | 87 | 20 | 63 | 4 | 23 | 18 | 49 |  | 8th in Placings | ?
 |  |  |  | 6 | 3 | 22 | 72 | 48 | 67 | 16 | 48 | 20 | 10 |  | 9th in Placings | ?
 |  |  |  | 5 | 11 | 72 | 6 | 17 | 4 | 98 | 20 | 63 | 2 |  | 10th in Placings | ?
 |  |  |  | 2 | 63 | 6 | 11 | 4 | 15 | 71 | 98 | 20 | 5
 |  |  |  | 11 | 10 | 63 | 67 | 4 | 98 | 20 | 16 | 48 | 8
 |  |  |  | 2 | 5 | 23 | 8 | 6 | 20 | 4 | 12 | 17 | 11
 |  |  |  | 5 | 10 | 2 | 4 | 19 | 20 | 6 | 48 | 12 | 63
 |  |  |  | 8 | 5 | 6 | 2 | 20 | 48 | 18 | 72 | 12 | 63
 |  |  |  | 2 | 5 | 87 | 20 | 63 | 4 | 23 | 18 | 49 | 98
 |  |  |  | I'm trying to find out which riders placed more than other riders and which riders placed the least. Example: Rider# 2 placed 12 times compared to Rider# 71 only placed once. So Rider# 2 would come in with the most placings, and then the next most placings would be Rider# ?, and so on.
Spreadsheet: 838135d1690768851-headcount-of-people-in-unit-headcount-in-unit
Sheet: Sheet1

 | [NAME] | Departure |  | Date | 00:00:00 | 01:00:00 | 02:00:00 | 03:00:00 | 04:00:00 | 05:00:00 | 06:00:00 | 07:00:00 | 08:00:00 | 09:00:00 | 10:00:00 | 11:00:00 | 12:00:00 | 13:00:00 | 14:00:00 | 15:00:00 | 16:00:00 | 17:00:00 | 18:00:00 | 19:00:00 | 20:00:00 | 21:00:00 | 22:00:00 | 23:00:00
Person 1 | 2023-06-01 23:06:00 | 2023-06-02 05:10:00 |  | 2023-06-01 00:00:00
Person 2 | 2023-06-02 09:07:00 | 2023-06-05 13:18:00 |  | 2023-06-02 00:00:00
Person 3 | 2023-06-01 10:55:00 | 2023-06-02 02:15:00 |  | 2023-06-03 00:00:00
Person 4 | 2023-06-03 01:02:00 | 2023-06-03 12:20:00 |  | 2023-06-04 00:00:00
Person 5 | 2023-06-02 18:43:00 | 2023-06-06 15:00:00 |  | 2023-06-05 00:00:00
Person 6 |  |  |  | 2023-06-06 00:00:00
Person 7 |  |  |  | 2023-06-07 00:00:00
Person 8 |  |  |  | 2023-06-08 00:00:00
Person 9 |  |  |  | 2023-06-09 00:00:00
Person 10 |  |  |  | 2023-06-10 00:00:00
Person 11 |  |  |  | 2023-06-11 00:00:00
Person 12 |  |  |  | 2023-06-12 00:00:00
Person 13 |  |  |  | 2023-06-13 00:00:00
Person 14 |  |  |  | 2023-06-14 00:00:00
Person 15 |  |  |  | 2023-06-15 00:00:00
Person 16 |  |  |  | 2023-06-16 00:00:00
Person 17 |  |  |  | 2023-06-17 00:00:00
Spreadsheet: 874059d1720625367-getting-data-from-one-workbook-to-another-athletics-spreadsheet-v14-tms
Sheet: Boys Team

 |  | 100 | Time | 200 | Time | 800 | Time | 1500 | Time | High | Result | Long | Result | Shot | Result | Discus | Result
2012 | [NAME] | x | 15.31 | x | 30.8 |  |  |  |  |  |  | x | 3.79
 | [NAME] | x | 15.34 | x | 33.02 | x | 2.56 |  |  | x | 1.1 | x | 3.87 |  |  | x | 18.54
 | [NAME] | x | 15.84 |  |  |  |  |  |  |  |  |  |  | x | 6.81 | x | 20.18
12 Years | Angus Hopkins | x | 16.35 |  |  | x | 2.59 |  |  | x | 1.05
 | [NAME] |  |  |  |  |  |  |  |  |  |  |  |  | x | 7.06
 |  | 100 |  | 200 |  | 800 |  | 1500 |  | High |  | Long |  | Shot |  | Discus
2013 | [NAME] | x | 15.46 | x | 33.66 | x | 3.04 |  |  |  |  | x | 3.6
 | Bodhi [NAME] | x | 16.47 | x | 35.83 |  |  |  |  | x | 1.2 |  |  | x | 6.66
 | [NAME] | x | 16.68 |  |  | x | 3.19
 | [NAME] | x | 16.99 |  |  |  |  |  |  | x | 1.15 | x | 3.74 |  |  | x | 14.98
 | Mason Fisher |  |  |  |  |  |  |  |  |  |  |  |  | x | 6.44
11 Years | [NAME] |  |  |  |  |  |  |  |  |  |  |  |  |  |  | x | 16.88
 |  | 100 |  | 200 |  | 800 |  | 1500 |  | High |  | Long |  | Shot |  | Discus
2014 | [NAME] | x |  | x |  | x
 | Noah Payling | x
 | [NAME] | x
 | [NAME] | x |  | x |  |  |  |  |  | x |  | x |  | x
10 Years | [NAME] |  |  |  |  |  |  |  |  |  |  | x
 | [NAME] |  |  |  |  |  |  |  |  |  |  |  |  | x |  | x
 | [NAME] |  |  |  |  |  |  |  |  |  |  |  |  |  |  | x
 | [NAME] |  |  |  |  |  |  |  |  | x
2015 |  | 100 |  | 200 |  | Long
 | Leo Mendez | x |  | x |  | x
 | [NAME] | x |  | x
9 Years | [NAME] | x
 | [NAME] | x
 | [NAME] |  |  |  |  | x
Spreadsheet: 687054d1594928941-heavy-file-for-calculation-and-save-dates
Sheet: AE Test

Sr.
 | File Name | Ext | Date | File Name | Ext | Date | File Name | Ext | Date | File Name | Ext | Date | File Name | Ext | Date
 | 07-01) 29-07-2019 | pdf |  | 01-01) 17-01-2019 | pdf |  | 03-01) 05-03-2019 | pdf |  | 02-01) 20-02-2020 | pdf
 | 11-01) 13-11-2019 | pdf |  | 02-01) 07-02-2019 | pdf |  | 03-01) 21-03-2019 | pdf |  | 06-01) 18-06-2020 | pdf
 | 12-01) 26-12-2019 | pdf |  | 04-01) 22-04-2019 | pdf |  | 06-01) 26-06-2019 | pdf
 | 02-01) 13-02-2020 | pdf |  | 06-01) 11-06-2019 | pdf |  | 10-01) 17-10-2019 | pdf
 | 04-01) 02-04-2020 | pdf |  | 08-01) 08-08-2019 | pdf |  | 12-01) 29-12-2019 | pdf
 |  |  |  | 09-01) 17-09-2019 | pdf |  | 04-01) 22-04-2020 | pdf
 |  |  |  | 12-01) 17-12-2019 | pdf
 |  |  |  | 02-01) 13-02-2020 | pdf
 |  |  |  | 02-01) 25-02-2020 | pdf
 |  |  |  | 06-01) 18-06-2020 | pdf
Spreadsheet: 866468d1713373033-xlookup-or-filter-matrix-result-expected-but-value-returned-sample-xlookup-function
Sheet: report

Report year | 2023 | (incl. full previous year)
Report month YTD | 4
Year | Month | S | D |  | [NAME]
 | 1 | #[NAME]! | #[NAME]!
2022 | 2 | #[NAME]! | #[NAME]!
2022 | 3 | #[NAME]! | #[NAME]!
2022 | 4 | #[NAME]! | #[NAME]!
2022 | 5 | #[NAME]! | #[NAME]!
2022 | 6 | #[NAME]! | #[NAME]!
2022 | 7 | #[NAME]! | #[NAME]!
2022 | 8 | #[NAME]! | #[NAME]!
2022 | 9 | #[NAME]! | #[NAME]!
2022 | 10 | #[NAME]! | #[NAME]!
2022 | 11 | #[NAME]! | #[NAME]!
2022 | 12 | #[NAME]! | #[NAME]!
2023 | 1 | #[NAME]! | #[NAME]!
2023 | 2 | #[NAME]! | #[NAME]!
2023 | 3 | #[NAME]! | #[NAME]!
2023 | 4 | #[NAME]! | #[NAME]!
Report
1. Include all individual months, year to date, starting on January of the previous year
2. Retrieve the S and D values from the PERF table, and mark them up with the S_CORR and D_CORR valyes from the TAA table
Problem
The XLOOKUP formula cannot find a match in the TAA table, but this does exist
Spreadsheet: kate_symes__18633__MidC
Sheet: DJ Mid-C Electricity Index

 |  |  | Firm | Volume | Firm | Volume | Non Firm | Volume | Non Firm | Volume |  | Sunday & NERC | Volume
 | DATE |  | On [NAME] | [NAME] | [NAME] | [NAME] | On [NAME] | [NAME] | [NAME] | [NAME] |  | 24 HOUR | [NAME]
 | 2001-02-13 00:00:00 |  | 335.68 | 13424 | 322.6 | 4728
 | 2001-02-12 00:00:00 |  | 302.64 | 12624 | 279.2 | 4528 | 271.84 | 1346 | 324.32 | 544
 | 2001-02-11 00:00:00 |  | 285 | 0 | 270 | 0 | 312.37 | 316 | 326.04 | 96 |  | 278.81 | 12600
 | 2001-02-10 00:00:00 |  | 276.16 | 15824 | 238.78 | 3328 | 322.06 | 790 | 309.3 | 328
 | 2001-02-09 00:00:00 |  | 276.16 | 15824 | 238.78 | 3328 | 341.87 | 3340 | 307.19 | 1050
 | 2001-02-08 00:00:00 |  | 381.43 | 15120 | 316.79 | 3376 | 341.12 | 2521 | 320.97 | 373
 | 2001-02-07 00:00:00 |  | 274.49 | 8688 | 253.14 | 4024 | 294.97 | 2143 | 251.02 | 216
 | 2001-02-06 00:00:00 |  | 213.71 | 10784 | 195.79 | 4096 | 259.92 | 63 | 196.16 | 307
 | 2001-02-05 00:00:00 |  | 200.43 | 11824 | 196.63 | 3968 | 204.52 | 1904 | 179.61 | 727
 | 2001-02-04 00:00:00 |  | 200 | 0 | 185 | 0 | 181.95 | 1513 | 175.11 | 1100 |  | 196.25 | 10704
 | 2001-02-03 00:00:00 |  | 222.8 | 15824 | 195.9 | 7648 | 185 | 35 | 199.94 | 233
 | 2001-02-02 00:00:00 |  | 222.8 | 15824 | 195.9 | 7648 | 203.95 | 380 | 200 | 48
 | 2001-02-01 00:00:00 |  | 355.71 | 7984 | 306.05 | 3728 | 255.73 | 1202 | 198.09 | 315
 | 2001-01-31 00:00:00 |  | 409.15 | 12656 | 342.56 | 3280 | 313.68 | 3766 | 275 | 70
 | 2001-01-30 00:00:00 |  | 468.99 | 11456 | 403.48 | 2872 | 383.47 | 304 | 351 | 25
 | 2001-01-29 00:00:00 |  | 420.48 | 19824 | 407.62 | 3832 | 383.33 | 4070 | 304.86 | 1442
 | 2001-01-28 00:00:00 |  | 450 | 800 | 350 | 0 | 488.38 | 355 | 460.46 | 416 |  | 408.68 | 12240
 | 2001-01-27 00:00:00 |  | 294.85 | 19024 | 254.41 | 4032 | 456.54 | 845 | 457.01 | 236
 | 2001-01-26 00:00:00 |  | 295.64 | 17424 | 254.65 | 3832 | 369.4 | 402 | 350 | 75
 | 2001-01-25 00:00:00 |  | 319.38 | 15024 | 295.88 | 1272 | 296.66 | 437 | 234.61 | 965
 | 2001-01-24 00:00:00 |  | 307.59 | 18224 | 261.91 | 2872 | 290.03 | 291 | 291.18 | 807
 | 2001-01-23 00:00:00 |  | 329.11 | 18624 | 254.24 | 4712 | 309.54 | 1107 | 305 | 200
 | 2001-01-22 00:00:00 |  | 393.64 | 26784 | 333.06 | 3312 | 351.61 | 465 | 314.65 | 1500
 | 2001-01-21 00:00:00 |  | 300 | 800 | 337.5 | 0 | 367 | 625 | 318.16 | 435 |  | 335.88 | 8736
 | 2001-01-20 00:00:00 |  | 559.4 | 25088 | 411.6 | 8344 | 362.89 | 291 | 286.58 | 300
 | 2001-01-19 00:00:00 |  | 559.4 | 25088 | 411.6 | 8344 | 376.11 | 836 | 283.47 | 546
 | 2001-01-18 00:00:00 |  | 481.44 | 21424 | 392.14 | 5112 | 454.07 | 393 | 294.21 | 380
 | 2001-01-17 00:00:00 |  | 272.66 | 29824 | 248.16 | 6312 | 428.17 | 196 | 285.3 | 495
 | 2001-01-16 00:00:00 |  | 179.29 | 23760 | 158.21 | 3800 | 422.32 | 6337 | 190 | 50
 | 2001-01-15 00:00:00 |  | 179.29 | 23760 | 158.21 | 3800 | 205.96 | 83 | 210 | 22
 | 2001-01-14 00:00:00 |  | 158.5 | 0 | 152.5 | 0 | 175.38 | 920 | 157.2 | 820 |  | 152.44 | 15000
 |  |  |  |  |  | ..
Spreadsheet: 873212d1719645276-range-summation-range-summation
Sheet: Sheet1

strike price |  |  | product- 1 | product- 2
1130 |  | 200 | 97 | 45
 |  | 250 | 161 | 179
 |  | 300 | 97 | 75
 |  | 350 | 129 | 171
 |  | 400 | 167 | 42
 |  | 450 | 129 | 129
 |  | 500 | 20 | 178
 |  | 550 | 181 | 45
 |  | 600 | 187 | 148
 |  | 650 | 197 | 85
 |  | 700 | 98 | 31
 |  | 750 | 65 | 133
 |  | 800 | 100 | 129
 |  | 850 | 30 | 180
 |  | 900 | 13 | 28
 |  | 950 | 187 | 143
 |  | 1000 | 17 | 123
 |  | 1050 | 40 | 41
 |  | 1100 | 66 | 155
 |  | 1150 | 29 | 154
 |  | 1200 | 175 | 40
 |  | 1250 | 29 | 48
 |  | 1300 | 140 | 106
 |  | 1350 | 120 | 193
 |  | 1400 | 83 | 67
 |  | 1450 | 59 | 30
 |  | 1500 | 64 | 63
 |  | 1550 | 181 | 56
 |  | 1600 | 123 | 23
 |  | 1650 | 31 | 80
 |  | 1700 | 42 | 29
 |  | 1750 | 73 | 132
 |  | 1800 | 183 | 171
Spreadsheet: 791719d1660563533-vlookup-error-from-pivot-table-row-test
Sheet: Sheet1

Dv | Matl Group | SOff. | MG 1 | Usage | [NAME] | Material | Material Description | Ship-to | Customer Name | UnLabel-Wt | Color Desc | Usage Desc | Std.PAL-Qt | FC-33.2022
2 | 31207 | 1 |  | A31 | 750ml Bordx 100 50g | 109101 | FG 750ml Bordeaux 50g G621 00 604 1024 | 303120 | Customer | 50 |  | Wine | 1024
2 | 31207 | 1 |  | A31 | 750ml Bordx 100 50g | 109101 | FG 750ml Bordeaux 50g G621 00 604 1024 | 303131 | Customer | 50 |  | Wine | 1024
2 | 31207 | 1 |  | A31 | 750ml Bordx 100 50g | 109101 | FG 750ml Bordeaux 50g G621 00 604 1024 | 303148 | Customer | 50 |  | Wine | 1024
2 | 31207 | 1 |  |  | 750ml Bordx 100 50g | 109101 | FG 750ml Bordeaux 50g G621 00 604 1024 | 303230 | Customer | 50 |  |  | 1024
2 | 31207 | 1 |  | A31 | 750ml Bordx 100 50g | 109101 | FG 750ml Bordeaux 50g G621 00 604 1024 | 303304 | Customer | 50 |  | Wine | 1024
2 | 31207 | 1 |  |  | 750ml Bordx 100 50g | 109101 | FG 750ml Bordeaux 50g G621 00 604 1024 | 303566 | Customer | 50 |  |  | 1024
2 | 26565 | 180 | C07 | A11 | PF 294,9 gr ASSY | 112959 | PF FINAL ASSY 8L_2300L | 301300 | Customer | 325.3 | Clear | Beer | 1440 | 8160
2 | 28600 | 180 |  | A11 | pf 629,28 gr ASSY | 104451 | PF FINAL ASSY 20L _ AK02 15 | 301655 | Customer | 629.28 |  | Beer | 864
2 | 26565 | 180 | C07 | A11 | PF 294,9 gr ASSY | 112959 | PF FINAL ASSY 8L_2300L | 301655 | Customer | 325.3 | Clear | Beer | 1440
2 | 26565 | 180 | C07 | A11 | PF 294,9 gr ASSY | 112959 | PF FINAL ASSY 8L_2300L | 301693 | Customer | 325.3 | Clear | Beer | 1440 | 37440
2 | 28600 | 180 |  | A11 | pf 629,28 gr ASSY | 104451 | PF FINAL ASSY 20L _ AK02 15 | 303377 | Customer | 629.28 |  | Beer | 864
2 | 31207 | 1 |  | A31 | 750ml Bordx 100 50g | 109101 | FG 750ml Bordeaux 50g G621 00 604 1024 | 301828 | Customer | 50 |  | Wine | 1024
Spreadsheet: 210358d1359451656-conditional-formatting-copy-of-example-2_cf-1-
Sheet: Sheet1

2013-01-29 00:00:00
Surname | First Name | Pay No. | Date Attended | Attendance Sheet Completed & Filed | [NAME]? | Competency Attained | Date to Attain Full Competence
Example | [NAME] | 1 | 2013-01-24 00:00:00 | YES | YES | YES | 2013-02-07 00:00:00
 |  |  | 2013-01-25 00:00:00 | YES | No | YES | 2013-02-08 00:00:00
Spreadsheet: 679995d1590729470-transforming-data-within-an-array-transforming-data-within-array
Sheet: Sheet1

 | Year | Input |  |  | Output
 | 2017 | FY-17 |  | FY-17
 | 2018 | FY-18 |  | FY-18
 | 2019 | H1-19 |  | H1-19
 | 2019 | H2-19 |  | H2-19
 | 2020 | Q1-20 |  | FY-19
 | 2020 | Q2-20 |  | Q1-20
 | 2020 | Q3-20 |  | Q2-20
 | 2020 | Q4-20 |  | Q3-20
 | 2021 | Jan-21 |  | Q4-20
 | 2021 | Feb-21 |  | FY-20
 | 2021 | Mar-21 |  | Jan-21
 | 2021 | Apr-21 |  | Feb-21
 | 2021 | May-21 |  | Mar-21
 | 2021 | [NAME] |  | Apr-21
 | 2021 | [NAME] |  | May-21
 | 2021 | Aug-21 |  | [NAME]
 | 2021 | Sep-21 |  | [NAME]
 | 2021 | Oct-21 |  | Aug-21
 | 2021 | Nov-21 |  | Sep-21
 | 2021 | Dec-21 |  | Oct-21
 | 2022 | FY-22 |  | Nov-21
 | 2023 | FY-23 |  | Dec-21
 |  |  |  | FY-21
 |  |  |  | FY-22
 |  |  |  | FY-23
Spreadsheet: 84901d1284996864-breaking-down-revenues-test
Sheet: Sheet1

 | Scenario A
 | Revenues | Expenses
2010-01-01 00:00:00 | 45000 | 10000 | 3.5
2010-01-02 00:00:00 |  | 10000 | 2.5
2010-01-03 00:00:00 |  | 10000 | 1.5
2010-01-04 00:00:00 |  | 10000 | 0.5
2010-01-05 00:00:00 |  | 5000 | 0
2010-01-06 00:00:00 |  | 0 | 0
2010-01-07 00:00:00 | 38000 | 10000 | 2.8
2010-01-08 00:00:00 |  | 10000 | 1.8
2010-01-09 00:00:00 |  | 10000 | 0.7999999999999998
2010-01-10 00:00:00 |  | 7999.999999999998 | 0
 |  | 0 | 0
 |  | #N/A | #N/A
 |  | #N/A | #N/A
 |  | #N/A | #N/A
Spreadsheet: 51fcb3d9-04d8-441a-af69-6172a9a97adb
Sheet: Other Opex

 | This sheet provides a summary of SDG's Other Opex efficiency proposals. These proposals have been used to develop the CAA's final propsals.
 | [NAME] - other opex
 |  |  | Price Conversion nominal to 2011/12
 |  |  | Price [NAME] to nominal
 | Other opex efficiency proposals - nominal |  | Proposal | Q5+1 | Q6 |  |  |  |  |  | Q6 Total | CAGR | per year
 |  | Risk (1 low, 2 mid, 3 high) | £m nominal | 2013/14 | 2014/15 | 2015/16 | 2016/17 | 2017/18 | 2018/19
 |  |  | Total Efficiency (Low)
 |  |  | Total Efficiency (Mid)
 |  |  | Total Efficiency (High)
 | Other opex efficiency proposals - real |  | Proposal | Q5+1 | Q6 |  |  |  |  |  | Q6 Total | CAGR | per year
 |  | Risk (1 low, 2 mid, 3 high) | £m 2011/12 | 2013/14 | 2014/15 | 2015/16 | 2016/17 | 2017/18 | 2018/19
 |  | x | HAL fBP - RATES | 108.8 | 123.9 | 126.3 | 125.5 | 147.6 | 157.3
 |  | 2 | B - Reduction of and delay to revaluation impact
 |  | x | HAL fBP - Rail Costs | 63 | 57.3 | 56.4 | 56 | 56.1 | 55.3
 |  | 3 | A - Reduction of 40 customer facing staff | 0 | -0.9 | -0.9 | -0.9 | -0.9 | -0.9
 |  | 4 | B - Reduction of 72 customer facing staff | 0 | -1.7 | -1.6 | -1.6 | -1.6 | -1.6
 |  | x | HAL fBP - ANS Costs | 53 | 53.7 | 54 | 54.3 | 54.6 | 54.6
 |  | 3 | A - Reduction to average benchmark costs | 0 | 0 | 0 | 0 | 0 | -1.5
 |  | x | HAL fBP - Cleaning Costs | 27.5 | 31.3 | 31.1 | 30.9 | 28.1 | 28
 |  | 2 | A - Maintain front of house costs per metre to 2012/13 levels over [NAME] (allowing for pension costs) | 0 | -1.1 | -1 | -1.7 | -1.9 | -1.8
 |  | 3 | B - Move to 2012/13 benchmark average by 2016/17 (allowing for pension costs) | 0 | -1 | -1.7 | -2.8 | -1.6 | -1.5
 |  |  | Total Efficiency (Core)
 |  |  | Total Efficiency (Mid)
 |  |  | Total Efficiency (Stretch)
 | End
Spreadsheet: 275059d1383320494-want-the-cells-with-the-formulas-to-appear-blank-until-conditions-are-added-coupon-spread-sheet
Sheet: Template

Name                                        Non-Food Items | # of Items | Retail Price | # of Coupons | Coupon Price | Total Retail Price | Price After Tax | Coupon Discount | Price after Coupon | Total Price After Coupon and tax | Running Total | Total Spent
Right Guard | 4 | 0.99 | 4 | 1.5
Razors | 17 | 1.79 | 17 | 2
Gas x | 6 | 2.18 | 2 | 10
Shaving Cream | 3 | 1.81 | 1 | 6
 |  |  |  |  |  |  |  |  | Total
Name                                       Food Items | # of Items | Retail Price | # of Coupons | Coupon Price | Total Retail Price | Price After Tax | Coupon Discount | Price after Coupon | Total Price After Coupon | Running Total
Soup | 12 | 1.25 | 12 | 1
hamburger helper | 6 | 0.88 | 2 | 1
Post Breakfast | 8 | 1.98 | 4 | 2.5
[NAME] | 80 | 1 | 80 | 1
[NAME] | 15 | 1 | 15 | 1
Pizza Rolls | 4 | 1.88 | 4 | 0.75
 |  |  |  |  |  |  |  |  | Total
 |  |  |  |  | Total Retail Food
 |  |  |  |  | Total Retail Non-Food
 |  |  |  |  | Total Retail (Before Coupons)
 |  |  |  |  | Total Spent (After [NAME])
Spreadsheet: 217248d1362009506-inventory-from-drop-down-lists-ammo-data-tracker1
Sheet: Daily Production

Date | Hour | [NAME]. | Overall Qty. | Cart scrap | Case scrap | Bullet Scrap | D/T (mins) | Details | Powder | Lot | Bullets | Lot | Load | Powder in WIP | Powder Actual | Var
 | Start @ 6:30am | 10 | 10 | 1 |  |  |  |  | IMR4227 | 1 | H308220LN | 1 | F308P | 36.2 | 36.2
 | 7am - 8am |  | 180 |  | 1 | 1 |  |  | IMR4227 | 1 | H308220LN | 1 | F308P | 36.2 | 36.22
 | 8am-9am |  | 390 |  |  |  |  |  | IMR4227 | 1 | H308220LN | 1 | F308P | 36.18 | 36.18
 | 9am-10am |  | 600 |  |  |  |  |  | IMR4227 | 1 | H308220LN | 1 | F308P | 36.18 | 36.16
 | 10am-11am |  | 800 | 1 |  |  |  |  | IMR4227 | 1 | H308220LN | 1 | F308P | 36.18 | 36.18
 | 11am-12pm |  | 1000 |  |  |  |  |  | IMR4227 | 1 | H308220LN | 1 | F308P | 36.18 | 36.18
 | 12pm-1pm |  | 1200 |  |  |  |  |  | IMR4227 | 1 | H308220LN | 1 | F308P | 36.2 | 36.2
 | 1pm-2pm |  | 1400 |  |  |  |  |  | IMR4227 | 1 | H308220LN | 1 | F308P | 36.2 | 36.22
 | 2pm-3pm |  | 1600 |  |  |  |  |  | IMR4227 | 1 | H308220LN | 1 | F308P | 36.2 | 36.2
 | 3pm-4pm |  | 1800 |  |  |  |  |  | IMR4227 | 1 | H308220LN | 1 | F308P | 36.2 | 36.2
 | 4pm-5pm |  | 2000 | 1 |  |  |  |  | IMR4227 | 1 | H308220LN | 1 | F308P | 36.22 | 36.2
 | 5pm-6pm |  |  |  |  |  | 60 | Swap over to 7mm
 | 6pm-7pm |  | 10 |  |  |  |  |  | HVAR | 1 | S7mm140SPBT | 1 | F7mm08P | 35.8 | 35.78
 | 7pm-8pm |  | 170 | 1 |  |  |  |  | HVAR | 1 | S7mm140SPBT | 1 | F7mm08P | 35.8 | 35.8
 | 8pm-9pm |  | 300 |  |  |  |  |  | HVAR | 1 | S7mm140SPBT | 1 | F7mm08P | 35.8 | 35.8
 |  | Total |  | Total | Total | Total | D/T (hrs)
Hours Worked |  | 14
Average Carts per hour
(Minus Downtime)
Powder Deviation
Production/Scrap Report
Case ID | Bullet ID | Pwdr ID | Charge | Carts Prd | [NAME] | Case Scp | Bullet Scp | Powder (oz)
F308P | H308220LN | IMR4227 | 36.2 | 2000 | 3 | 1 | 1
F7mm08P | S7mm140SPBT | HVAR | 35.8 | 300 | 1
Spreadsheet: 454168d1459693770-vlookup-help-with-making-automatic-system-book3-1-
Sheet: Overview

OVERVIEW
Animals | Cost | % Budget
Staff | Cost
Space Availble (m2) | 1000
Space Remaining (m2)
Budget | 500000
Budget Reamaining
Spreadsheet: 43113fbd-ac04-478f-be12-cdeb6a2ed10b
Sheet: 6

 | October 25 | November 1 | November 8 | 2013-11-22 00:00:00 | November 22
Total Interest Rate* | 2283320 | 2968995 | 3638807 | 3014536 | 2933201
SDs and MSPs** | 970202 | 1270391 | 1437794 | 1387659 | 1302927
Other | 1313118 | 1698604 | 2201013 | 1626877 | 1630274
Total Cross-Currency | 72392 | 101146 | 161620 | 100879 | 168190
SDs and MSPs | 44320 | 78995 | 112608 | 71592 | 91901
Other | 28072 | 22150 | 49012 | 29287 | 76289
Total Credit | 657203 | 731447 | 764488 | 608408 | 893038
SDs and MSPs | 409613 | 452462 | 485298 | 382740 | 583786
Other | 247589 | 278985 | 279190 | 225668 | 309252
Total FX | N/A | N/A | N/A | N/A | N/A
SDs and MSPs | N/A | N/A | N/A | N/A | N/A
Other | N/A | N/A | N/A | N/A | N/A
Total Equity | N/A | N/A | N/A | N/A | N/A
SDs and MSPs | N/A | N/A | N/A | N/A | N/A
Other | N/A | N/A | N/A | N/A | N/A
Total Other Commodity | N/A | N/A | N/A | N/A | N/A
SDs and MSPs | N/A | N/A | N/A | N/A | N/A
Other | N/A | N/A | N/A | N/A | N/A
TOTAL | 3012915 | 3801587 | 4564915 | 3723823 | 3994429
Weekly total, swap dollar volumes by asset class and participant type (value of all trades in millions of USD), all products and tenors, cleared and uncleared. For cleared swaps, the notional value for each of the two resulting swaps is attributed only to the counterparty facing the clearing organization (i.e., the clearing organization’s participation is not displayed). For uncleared swaps, the notional value of the swap is attributed to both swap counterparties. The notional values of all price-forming trade events, including new trades, terminations, amendments, and novations, are included in dollar volumes. Because this table shows transactions by participant, the totals on this table are twice those displayed on the "Transaction Dollar Volume by Cleared Status" table.
*See Data Dictionary for asset class descriptions.
**See Explanatory Notes for participant type descriptions.
***N/A indicates that data are not currently available.
The Commission requests feedback on the format and content of this CFTC Swaps Report table. Submit comments to [EMAIL].
Spreadsheet: 174a123a-b730-4784-8753-600da4111155
Sheet: Bill Lippert

[NAME]
Fair Share Fee: Those Who Don't Pay Their Fair Share
Agree
Explain your fair share position, if you choose.
I agree with a fair share requirement.
Teachers' Retirement: Support in the State Budget
Agree
Explain your teachers' retirement position, if you choose.
No response
Health Care: Continuing System Reform
Agree
Explain your health care reform position, if you choose
No response
Teaching Career: Retaining New Teachers
Agree
Explain your teaching career position, if you choose
No response
Teaching Profession: Simplifying Professional Relicensing
Agree
Explain your relicensing position, if you choose
I would like to understand more.
Name | email address | Address | Office sought | Are you an incumbent? |  | County
[NAME] | [EMAIL] | 2751 Baldwin Road, Hinesburg, VT 05461 | State Representative | Yes |  | Chittenden
Spreadsheet: 59751d1260312797-excel-2007-how-to-sort-data-validation-menu-while-typing-characters-in-the-cell-for-the-menu-master_requirement_gathering_template_-final-
Sheet: Recoupment-Supplemental

 |  | DATA Gathering Template
Program | Temporary Assistance - Family Assistance and Safety Net
Function Name | Case Management (Undercare)
Activity Name | Recoupment-Supplemental
Activity Description / Purpose | The process of reconciling overpayments and underpayments.
 |  |  | Activity Predecessor | Activity [NAME] | Activity Input | Activity Output | Activity Successors
Steps | Tasks A task is any action that is being performed to complete a step | What unit does this? (SU) | Who does this? (W) | Applications used / System Interfaces / Tools Is there an automated system supporting the activity? | What happens before this? (P) | What causes the activity to happen (T) | Additional Information that is needed (I) | Is anything produced? (O) | What happens next ? (S) | V | Comments |  |  |  | Questions | Workarounds | Constraints/ Issues | Opportunities | Policy Considerations | Best Practices | Follow-Up | Comments
Receive notification or verification.
Research case information.
Enter overpayment/supplement data in system.
[NAME] authorization.
Send notice to client/State