tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 50412d1249854452-array-formula-problem-consumables
Sheet: Location Search

CONSUMABLES STORAGE LOCATION SEARCH BY INDIVIDUAL ITEM.
 | ENTER CODE | 24959
 | [NAME]
 | TOTAL QTY IN STOCK
 |  | Slot No | QTY
 | 1
 | 2
 | 3
 | 4
 | 5
 | 6
 | 7
 | 8
 | 9
 | 10
 | 11
 | 12
 | 13
 | 14
 | 15
 | 16
 | 17
 | 18
 | 19
 | 20
 | 21
 | 22
 | 23
 | 24
 | 25
 | 26
 | 27
 | 28
 | 29
 | 30
 | 31
 | 32
 | 33
 | 34
 | 35
 | 36
 | 37
 | 38
 | 39
 | 40
Spreadsheet: 68347d1268868630-skip-repeats-without-deleting-w-multi-criteria-involved-transcript-report-03-17-10-fs
Sheet: Paste

Wave-Maker Name | Wave | Grade Level | Store Code | Course Name | A-G Requirement | Letter Grade | ROW
PowerSchool Dude | 5 | 5 | T1 | Algebra and Functions |  | E
PowerSchool Dude | 5 | 5 | T2 | Algebra and Functions |  | S
PowerSchool Dude | 5 | 5 | T3 | Algebra and Functions |  | E
PowerSchool Gal | 5 | 5 | T1 | Algebra and Functions |  | E
PowerSchool Gal | 5 | 5 | T2 | Algebra and Functions |  | E
PowerSchool Dude | 5 | 5 | T1 | Health/Physical Education |  | S
PowerSchool Dude | 5 | 5 | T2 | Health/Physical Education |  | E
PowerSchool Dude | 5 | 5 | T3 | Health/Physical Education |  | S
PowerSchool Gal | 5 | 5 | T1 | Health/Physical Education |  | E
PowerSchool Gal | 5 | 5 | T2 | Health/Physical Education |  | E
PowerSchool Dude | 5 | 5 | T1 | History/Social Science |  | S
PowerSchool Dude | 5 | 5 | T2 | History/Social Science |  | S
PowerSchool Dude | 5 | 5 | T3 | History/Social Science |  | S
PowerSchool Gal | 5 | 5 | T1 | History/Social Science |  | E
PowerSchool Gal | 5 | 5 | T2 | History/Social Science |  | S
 |  |  |  | Algebra and Functions
 |  |  |  | Health/Physical Education
 |  |  |  | History/Social Science
Spreadsheet: 161460d1339524450-sum-duplicate-values-then-delete-duplicate-rows-exc
Sheet: Sheet1

Site | Service Line Cost | 2011/Jan | 2011/Apr | 2011
23 | 00023-01 | 3444.46 | 3328.57 | 41721.33
25 | 00025-01 | 2040.92 | 2146.86 | 29654.84
26 | 00026-04 | 111.17 | 100.32 | 1715.92
26 | 00026-02 | 4247.27 | 4566.7 | 61296.84
28 | 00028-01 | 2462.88 | 2361.71 | 33332.92
31 | 00031-01 | 1819.45 | 1895.82 | 24184.01
Spreadsheet: kate_symes__18192__Deal Correction 2-28
Sheet: Prior Day

Date of Inquiry | Adjustment date | Date of applied calc | Deal Date | Desk Involved | Reason | Correction located by: | Broker | Change | Details of reason | Deal # | Delivery | Term | Hours p/op/rtc | MW | Price | Counterparty
 | 2001-02-27 00:00:00 | 2001-02-27 00:00:00 | 2001-02-26 00:00:00 | STCA | CM | Houston | Prebon | Price: from 205 to 205.5 |  | 531607 | NP-15 | H-01 | On [NAME] | 25 | 205.5 | PG&E
 |  |  |  | Grand Count
Spreadsheet: 386216d1427691991-find-percentage-of-counts-sample
Sheet: Sheet1

Incident ID | Summary | Team | Assigned To
INCABCDE1717850 | Test | Team A | Mike[Intern] |  |  | How to find percentage of incidents assigned to interns. I want to prepare table shown below using excel formulas.
INCABCDE1789147 | Test | Team B | [NAME]
INCABCDE1791349 | Test | Team C | Grant[Intern]
INCABCDE2031420 | Test | Team A | [NAME]
INCABCDE2043714 | Test | Team B | Michelle[Intern]
INCABCDE2187392 | Test | Team D | [NAME]
INCABCDE2334551 | Test | Team C | [NAME]
INCABCDE2347592 | Test | Team D | Mike[Intern]
INCABCDE2361921 | Test | Team A | [NAME] |  |  | Team | Percentage
INCABCDE2386560 | Test | Team B | Grant[Intern] |  |  | Team A | 45
INCABCDE2532429 | Test | Team C | [NAME] |  |  | Team B | 32
INCABCDE2580607 | Test | Team D | Michelle[Intern] |  |  | Team C | 65
INCABCDE2586175 | Test | Team C | [NAME] |  |  | Team D | 54
INCABCDE2812617 | Test | Team A | [NAME]
INCABCDE2952885 | Test | Team B | Mike[Intern]
INCABCDE3001953 | Test | Team A | [NAME]
INCABCDE3052991 | Test | Team D | Grant[Intern]
INCABCDE3053001 | Test | Team D | [NAME]
INCABCDE3067760 | Test | Team A | Michelle[Intern]
Spreadsheet: 842563d1694607063-countifs-giving-0-value-when-total-is-known-training_report-forum-etaf
Sheet: HPTD

HPTD - MANDATORY COURSES ANALYSIS
Report Date:
Legend: |  |  | STATUS | TD1599-001 Health & Safety for Employees Only one time | TD1599-006 COVID-19 Health & Safety for Emp. - Only one time Every 3 years | TD1807-000 [NAME] Only one time | COR310 Security Awareness Every 5 years | WMT101 Preventing Harassment and Violence in the Workplace | TD1599-007 Workplace Harassment & Violence Prevention - Only one time | TD1528-000 Code of Ethics & Conduct Only one time | GS9170-034 Underst. Pay Cycle Only one time | GS9170-035 HR-to-Pay Interfac Only one time | TD1599-003 Health & Safety for Managers Only one time | TD1582-001 PM&You Only one time (managers only) | TD1808-000 System Access Mgt Every 5 years (managers only)
0% to 70% | Course not completed |  | Completed
70% to 90% | Course expired |  | Expired | n/a | n/a | n/a |  | n/a | n/a | n/a | n/a | n/a | n/a | n/a
90% to 100% | Not applicable |  | Not completed
 |  |  | Total
 |  |  | Percentage of Completed Courses
LIST OF MANAGERS
COST CENTRE
504110000
504230300
504240300
504250400
504250600
504250700
504260400
504261414
504270200
504310000
504320000
504330700
504340600
504350800
504360300
504410200
504630100
(blank)
COST CENTRE
504110000
504230300
504240300
504250400
504250600
504250700
504260400
504261414
504270200
504310000
504320000
504330700
504340600
504350800
504360300
504410200
504630100
(blank)
Spreadsheet: 766546d1643926097-respective-supplier-turn-into-red-if-condition-met-condition-formating-sumif
Sheet: Sheet1

 |  |  |  |  |  | Suppliers | Amount
 |  |  |  |  |  | bew | 10
 |  |  |  |  |  | edmundson | 50
 |  |  |  |  |  | plumbase | 70
 |  |  |  |  |  | cef | 50
 |  |  |  |  |  | bew | 40
 |  |  |  |  |  | edmundson | 60
 |  |  |  |  |  | tglynes | 40
 |  |  |  |  |  | plumbase | 10
 |  |  |  |  |  | bew | 10
 |  |  |  |  |  |  | Result
 |  |  |  |  |  | bew
Spreadsheet: 29ba6b4c-e17b-498b-bf91-6d0aac28feae
Sheet: Sheet1

Table 2--World cotton supply and use estimates | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7
 |  |  |  |  | 2012/13
Item | 2011/12 |  | Nov. |  | Dec. |  | Jan.
 | Million 480-lb. [NAME]
Supply:
Beginning stocks--
World | 48.78 |  | 69.63 |  | 69.18 |  | 68.85
Foreign | 46.18 |  | 66.28 |  | 65.83 |  | 65.5
Production--
World | 124.13 |  | 116.83 |  | 116.9 |  | 118.83
Foreign | 108.56 |  | 99.39 |  | 99.65 |  | 101.82
Imports--
World | 44.7 |  | 36.6 |  | 37.71 |  | 38.87
Foreign | 44.68 |  | 36.6 |  | 37.71 |  | 38.87
Use:
[NAME] use--
World | 103.09 |  | 106.33 |  | 106.48 |  | 106.06
Foreign | 99.79 |  | 102.93 |  | 103.08 |  | 102.66
Exports--
World | 45.92 |  | 36.6 |  | 37.73 |  | 38.89
Foreign | 34.2 |  | 25 |  | 25.93 |  | 26.69
Ending stocks--
World | 68.85 |  | 80.27 |  | 79.64 |  | 81.72
Foreign | 65.5 |  | 74.47 |  | 74.24 |  | 76.92
 | Percent
Stocks-to-use ratio:
World | 66.8 |  | 75.5 |  | 74.8 |  | 77.1
Foreign | 65.6 |  | 72.4 |  | 72 |  | 74.9
 | 3
Last update: 01/14/13.
Source: USDA, World Agricultural Outlook Board.
Spreadsheet: 200944d1355822336-online-ladder-table-based-on-elo-rating-system-ladder
Sheet: Setup

Team name | Manager
Bears United | WeeJii
Veroparatiisi | [NAME]
Ballesteros | Sauzee
FC [NAME] | [NAME]
[NAME] CF | AstonVillaManager
Nivelpool | MrCee
Ludlow | janimake
FC TeTe | TN82
ALKEMIA | Kuusilehto
[NAME] | N-Core
Spreadsheet: 776061d1649481790-solver-solving-non-linear-equation-by-linearizing-the-equation-question-2
Sheet: Compare

Distance Coverage | No of Nodes | Transportation Cost | Facility Cost | Total Cost | Demand Covered | Required Demand | % Demand Covered
1000 | 2 |  |  |  |  | 35875680
1000 | 3 |  |  |  |  | 35875680
1000 | 4 |  |  |  |  | 35875680
1000 | 5 |  |  |  |  | 35875680
800 | 6 |  |  |  |  | 35875680
800 | 7 |  |  |  |  | 35875680
800 | 8 |  |  |  |  | 35875680
800 | 9 |  |  |  |  | 35875680
500 | 10 |  |  |  |  | 35875680
500 | 11 |  |  |  |  | 35875680
500 | 12 |  |  |  |  | 35875680
500 | 13 |  |  |  |  | 35875680
300 | 14 |  |  |  |  | 35875680
300 | 15 |  |  |  |  | 35875680
300 | 18 |  |  |  |  | 35875680
300 | 20 |  |  |  |  | 35875680
Spreadsheet: 799498d1665123514-count-on-locations-exercise
Sheet: Sheet1

Store | Product
5414 | [PHONE]
3211 | [PHONE]
5414 | [PHONE]
5414 | [PHONE]
5414 | [PHONE]
3211 | [PHONE]
3214 | [PHONE]
5414 | [PHONE]
5414 | [PHONE]
5414 | [PHONE]
5414 | [PHONE]
Spreadsheet: 440230d1452703184-vacation-tracking-from-an-anniversary-date-from-year-to-year-vacation-tracking-2015
Sheet: Summary

 | Total Hours Used | Start Date | 1 Year | 3 Years
A |  | 2014-10-23 00:00:00 | 2015-10-23 00:00:00 | 2017-10-23 00:00:00
B |  | 2014-11-11 00:00:00 | 2015-11-11 00:00:00 | 2017-11-11 00:00:00
C |  | 2015-08-11 00:00:00 | 2016-08-11 00:00:00 | 2018-08-11 00:00:00
D |  | 2014-10-27 00:00:00 | 2015-10-27 00:00:00 | 2017-10-27 00:00:00
E |  | 2015-03-30 00:00:00 | 2016-03-30 00:00:00 | 2018-03-30 00:00:00
F |  | 2015-03-21 00:00:00 | 2016-03-21 00:00:00 | 2018-03-21 00:00:00
G |  | 2015-05-29 00:00:00 | 2016-05-29 00:00:00 | 2018-05-29 00:00:00
H |  | 2013-11-20 00:00:00 | 2014-11-20 00:00:00 | 2016-11-20 00:00:00
I |  | 2015-07-15 00:00:00 | 2016-07-15 00:00:00 | 2018-07-15 00:00:00
J |  | 2012-08-31 00:00:00 | 2013-08-21 00:00:00 | 2015-08-21 00:00:00
K |  | 2014-01-27 00:00:00 | 2015-01-27 00:00:00 | 2017-01-27 00:00:00
L |  | 2012-07-09 00:00:00 | 2013-07-09 00:00:00 | 2015-07-09 00:00:00
M |  | 2014-10-29 00:00:00 | 2015-10-29 00:00:00 | 2017-10-29 00:00:00
N |  | 2015-01-01 00:00:00 | 2016-01-01 00:00:00 | 2018-01-01 00:00:00
O |  | 2010-07-20 00:00:00 | 2011-07-20 00:00:00 | 2013-07-20 00:00:00
 | as of 8/18/15 |  | 40 hours avail | 80 hours avail
Spreadsheet: 150869d1334701098-excel-formulas-on-seperate-sheets-sample-book-for-duplicating-sheets
Sheet: Sheet1

Parts for Base 1
Parts | Price | Qty | Extended Cost | Comments
123 | 23 | 2 |  | Black
124 | 1 | 3 |  | white
254 | 2 | 5 |  | yellow
2541 | 5 | 6 |  | red
33 | 12 | 8 |  | grey
22 | 25 | 20 |  | green
55 | 85 | 2 |  | magenta
554 | 2 | 5 |  | yellow
126 | 3 | 8 |  | red
 |  | Total
Parts for Base 2
Parts | Price | Qty | Extended Cost | Comments
22 | 8 | 2 |  | Black
5 | 5 | 3 |  | white
22 | 4 | 5 |  | yellow
22 | 5 | 6 |  | red
36 | 12 | 8 |  | grey
2 | 6 | 20 |  | green
55 | 4 | 2 |  | magenta
11 | 2 | 5 |  | yellow
25 | 5 | 8 |  | red
 |  | Total
Parts for Base 3
Parts | Price | Qty | Extended Cost | Comments
123 | 5 | 2 |  | Black
3 | 5 | 3 |  | white
50 | 9 | 5 |  | yellow
22 | 8 | 6 |  | red
77 | 5 | 8 |  | grey
11 | 6 | 20 |  | green
22 | 2 | 2 |  | magenta
88 | 4 | 5 |  | yellow
99 | 2 | 8 |  | red
 |  | Total
Spreadsheet: 754874d1636551408-sum-by-month-criteria-are-from-row-and-column-book5
Sheet: Sheet1

 | MONTH
Local Office | 2021-04-05 00:00:00 | 2021-04-12 00:00:00 | 2021-04-19 00:00:00 | 2021-04-26 00:00:00 | 2021-05-03 00:00:00 | 2021-05-10 00:00:00 | 2021-05-17 00:00:00 | 2021-05-24 00:00:00 | 2021-05-31 00:00:00 | 2021-06-07 00:00:00 | 2021-06-14 00:00:00 | 2021-06-21 00:00:00
[NAME] | 9 | 8 | 12 | 50 | 17 | 24 | 23 | 20 | 11 | 19 | 22 | 26
Ealing | 18 | 95 | 121 | 90 | 88 | 84 | 67 | 79 | 66 | 67 | 62 | 58
Fulham | 6 | 3 | 13 | 20 | 28 | 40 | 24 | 20 | 12 | 33 | 31 | 15
Harlesden | 9 | 10 | 31 | 26 | 22 | 34 | 29 | 21 | 10 | 34 | 37 | 31
[NAME] | 10 | 7 | 35 | 48 | 44 | 49 | 33 | 40 | 15 | 37 | 37 | 36
[NAME] | 6 | 5 | 10 | 6 | 15 | 16 | 25 | 15 | 8 | 10 | 18 | 16
Hounslow | 12 | 23 | 26 | 30 | 26 | 46 | 37 | 30 | 28 | 42 | 29 | 34
Kingston | 6 | 22 | 22 | 17 | 19 | 13 | 18 | 25 | 26 | 27 | 25 | 28
[NAME] | 3 | 23 | 39 | 28 | 29 | 20 | 17 | 16 | 19 | 29 | 21 | 21
[NAME] | 10 | 25 | 26 | 18 | 14 | 24 | 22 | 11 | 9 | 21 | 13 | 12
Uxbridge | 5 | 5 | 10 | 11 | 21 | 19 | 5 | 15 | 7 | 16 | 15 | 22
Wandsworth | 5 | 8 | 16 | 15 | 28 | 29 | 28 | 21 | 9 | 18 | 30 | 11
Wembley | 26 | 24 | 35 | 30 | 13 | 14 | 15 | 19 | 27 | 28 | 21 | 51
Grand Total | 125 | 258 | 396 | 389 | 364 | 412 | 343 | 332 | 247 | 381 | 361 | 361
 | total for month of april
[NAME]
Ealing
Fulham
Harlesden
[NAME]
[NAME]
Hounslow
Kingston
[NAME]
[NAME]
Uxbridge
Wandsworth
Wembley
Spreadsheet: 207452d1358457485-timesheet-how-to-make-a-running-total-and-can-you-have-negative-time-timesheet
Sheet: Sheet1

Hrs per day:
08:00:00 |  |  | Date | Hrs worked | Time over or under | Running total | Manual math
 |  |  |  | 08:10:00 |  | 00:10:00
 |  |  |  | 08:15:00
 |  |  |  | 08:15:00 |  |  | up 40
 |  |  | weekend
 |  |  |  | 07:10:00 |  |  | 10 down
 |  |  |  | 08:30:00 |  |  | 20 up
 |  |  |  | 08:00:00
 |  |  |  | 07:50:00 |  |  | 10 up
 |  |  |  | 08:10:00 |  |  | 5 up
 |  |  | weekend
 |  |  |  | 08:45:00 |  |  | 50 up
 |  |  |  | 08:25:00 |  |  | 1:10 up
 |  |  |  | 08:20:00 |  |  | 1:30 up
 |  |  |  | 05:40:00 |  |  | 50 down
 |  |  |  | 00:00:00
 |  |  |  | 00:00:00
Spreadsheet: 1cd11b2c-12a7-4b11-ae84-d5354438c094
Sheet: 9b

Product | EUR** | GBP | [NAME] | USD | TOTAL
Basis* | 156095 | 978255 | 658122 | 5415967
FRA | 13896446 | 2437127 | 19007 | 13699507 | 30052087
IRS- [NAME] | 45817373 | 9082436 | 16578334 | 32771197 | 104249340
OIS | 11820654 | 3845419 |  | 4132486 | 19798559
VNS | 1263 | <1,000 |  | 1414 | 2677
Zero Coupon | 50306 | 32789 | 27692 | 64290 | 175077
TOTAL
Estimated gross notional amount outstanding, November 16 weekly snapshot, by product type and supermajor currency (millions of USD), cleared swaps only, all participant types and tenors. Data are adjusted for double-counting of cleared trades to show a single exposure for each trade.
Total(s) may be less than total shown for this asset class in the All Swaps reports and/or other CFTC Swaps Report tables if products were excluded from this table that (a) presented disclosure risk or (b) did not belong in the categories shown. See Explanatory Notes for more detail.
*See Data Dictionary for product descriptions.
**See Explanatory Notes for currency 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: 99502d1298116557-formula-needed-to-work-out-the-balance-book2
Sheet: Sheet1

Name |  | Stake | Match | S | P | Results | Returns
[NAME] | 1 | 100 | Fulham - Chelsea 15/4 13/5 8/11 | 8 | 11 | 0-0
 | 2 | 100 | AC Milan - Tottenham 4/6 11/4 14/5 | 4 | 6 | 0-1
 | 3 | 100 | Arsenal - Barcelona 14/5 13/5 8/11 | 14 | 5 | 2-1
 | 4 | 100 | Roma - Shakhtar Donetsk 5/6 11/5 14/5 | 11 | 5 | 2-3
 | 5 | 100 | Sparta Prague - Liverpool 14/5 11/5 5/6 | 5 | 6 | 0-0 |  | Balance
Total Stake |  |  |  |  |  | Points Won
Name |  | Stake | Match | S | P | Results | Returns
[NAME] | 1 | 100 | Fulham - Chelsea 15/4 13/5 8/11 | 8 | 11 | 0-0
 | 2 | 100 | [NAME] 04 8/11 12/5 3/1 | 12 | 5 | 1-1
 | 3 | 100 | AC Milan - Tottenham 4/6 11/4 14/5 | 4 | 6 | 0-1
 | 4 | 100 | Birmingham - Newcastle 7/5 23/10 19/10 | 7 | 5 | 0-2
 | 5 | 100 | Cardiff - Burnley 5/6 12/5 5/2 | 5 | 6 | 1-1
 | 6 | 100 | Watford - Preston 8/13 23/10 4/1 | 8 | 13 | 2-2
 | 7 | 100 | Doncaster - Ipswich 13/10 21/10 7/4 | 7 | 4 | 0-6
 | 8 | 100 | [NAME] 13/8 21/10 11/8 | 11 | 8 | 1-1
 | 9 | 100 | Sparta Prague - Liverpool 14/5 11/5 5/6 | 5 | 6 | 0-0 |  | Balance
Total Stake |  | 900 |  |  |  | Points Won | 1230
Spreadsheet: 779023d1651523819-dividing-cell-into-equal-amounts-in-multiple-cells-afprinter-log-testing
Sheet: Pallet Log

Date | Job # |  | Customer Name | Job Name | Enter |  |  |  |  | Web Sheets | Total Sheets | Web Sheets | [NAME] | 1 EPS | 2 EPS | 3 EPS | 4 EPS | 5 EPS | White Sheets | Envelopes
 |  |  |  |  | P.B. | S.S. | O.S. | # of Pallets
 |  |  |  |  | Pink | Blue | White | Didde | Web
 | # | 88888 | xxxxxx | xxxxxxx | P |  |  | 17 | 514
 |  |  |  | This is what I want these columns to be. |  |  |  |  |  |  |  |  |  | 244 | 222 | 222 | 222 | 222
 | # | 88888 | xxxxxx | xxxxxxx |  | P |  | 1 | 93
 |  |  |  | This is what I want these columns to be.
I'm looking for formulas that will divide M only when it is over 240:
Column M equally into Columns P, Q, R, S.
Column N would have this equal split of M + the amount in column N.
I have manually figured out what I would like Row 4, columns O-S to be and typed them in the row below.
On Row 6, since M is under 240, it wouldn’t split.
Spreadsheet: daren_farmer__5958__EI333reveff061200
Sheet: Sheet1

To:   [NAME]          (Enron)
From: [NAME] ([NAME])
Date:  6/09/00
Subject:  Revised Availabilities Effective 6/12/00
Effective Date | CTP NAME | Gross Vol. (MMBtu/d) | PVR % | PVR Volume | Avail. After PVR (MMBtu/d) | DBQ | Excess
2000-06-12 00:00:00 | EI 333 | 4084 | 0 |  |  | 2918
1st of month DBQ = 2918/d
The Sea Robin Plant will shut down Monday, June 12, 2000 at 9:00 a.m. for repairs and maintenance.
The plant should be back up on Thursday, June 15, 2000.
Spreadsheet: 0719ca6f-edb4-4bcd-805a-b4a22c4bf2e1
Sheet: Cover Page

UTAH STATE OFFICE OF EDUCATION
STANDARD APPLICATION FOR FINANCIAL ASSISTANCE
1.  [NAME] and COMPLETE MAILING ADDRESS
 | Area Code and Telephone Number
 | Website
2.  DATE APPLICATION SUBMITTED
3.  EXPENDITURE PERIOD       Beginning Date of Project: | Date of approved budget - completed by USOE
Ending Date of Project:
4.  PROJECT DIRECTOR
Name of Employee Responsible for Supervising This Project:
E-Mail Address:
Phone Number:  (include area code)
5.  IMMEDIATE SUPERVISOR
Name of Employee To Whom The Project Director Reports:
E-Mail Address:
Phone Number:  (include area code)
6.  DESCRIPTIVE NAME OF PROGRAM     State Start-up & Implementation Grant
7.  AMOUNT REQUESTED FOR FUNDING  (include the total for all available years)
The agency certifies to the best of its knowledge and belief, the data in this application is true and correct.  The agency will agree to meet all of the requirements, including the project objectives outlined within the grant application. The agency also agrees to comply with all other applicable State Finance Regulations.
______________________________________________________________
Signature of Charter School Board Chair (not designee)
Return Application To: | FOR USOE USE ONLY
[NAME], Charter Schools | Date Application Received:
Utah State Office of Education
250 East 500 South | Program Content Reviewed By/Date:
PO Box  144200
Salt Lake City, UT  84114-4200 | Budget Reviewed By/Date:
[EMAIL]
"Standard Application for Discretionary Funds"
Spreadsheet: 795863d1662984252-googlesheets-count-number-of-days-between-days-listed-in-text-days_leadtime-hd1
Sheet: Sheet1

 |  |  |  | Desired Output |  |  | HD
Collection Day | Train Departure Day | Train Arrival Day | Delivery Day | Lead Days (incl weekends) | Lead Days (exc weekends) |  | Lead Days (incl weekends) | Lead Days (excl. weekends)
Tuesday | Wednesday | Saturday | Monday | 7 | 5
Wednesday | Sunday | Wednesday | Thursday | 9 | 7
Monday | Monday | Thursday | Friday | 5 | 5
Friday | Tuesday | Sunday | Thursday
Lead Days = number of days between collection day and delivery day
collection day = Day 1
Day
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
Spreadsheet: 42996d1241612382-how-sort-by-largest-to-smallest-column-by-formula-same-answer
Sheet: Sheet1

Name | Number | Key | Sort by Largest
Emily | 10 | 5 | Havit
Joliet | 20 | 4 | [NAME]
[NAME] | 30 | 2 | [NAME]
[NAME] | 30 | 3 | Joliet
Havit | 40 | 1 | Emily
Thanks Answer My Question's, BUT !! ; if column "Number" not ascending order
and what should I do Now ?
For Example
Name | Number |  | Sort by Largest
Emily | 6 | 6 | [NAME]
Joliet | 16 | 2 | Joliet
[NAME] | 2 | 10 | Havit
[NAME] | 18 | 1 | Wilson
Havit | 15 | 3 | [NAME]
[NAME] | 14 | 5 | Emily
Kite | 6 | 7 | Kite
[NAME] | 5 | 9 | Kely
Kely | 6 | 8 | [NAME]
Wilson | 15 | 4 | [NAME]
Spreadsheet: dana_davis__4468__stock options table
Sheet: Options

 | Stock Options
 |  | ESOP | 50
 | Market Price | 82.5 | 82.5
 | Option Price | 44.75 | 55.5
 | Gain/(Loss)
 | Fed Tax (28%)
 | Soc Sec (6.2%)
 | Medicare (1.45%)
 | [NAME] (.06/sh) | -0.06 | 0.94
 | Cash/Share
 | Vested Options | 175 | 13
 | Cash Earned
Spreadsheet: 887057d1737153184-cells-need-to-trigger-changes-in-graph-2025-chart-bvj-
Sheet: 20% 2%(Year1999)

 | S&P 500 Annual Index Returns |  | 20% PR S&P 500 |  | 3% MYGA |  |  |  |  | S&P 500 Annual Index Returns |  |  |  | 20% PR S&P 500 |  | 2% MYGA
Year | S&P 500 | Account Value | Interest Credited | Account Value | MYGA | Account Value |  |  | Year | S&P 500 |  | Account Value |  | Interest Credited | Account Value | MYGA | Account Value
1997 |  | 100000 |  | 100000 |  | 100000 |  |  | 1999 |  |  | 100000 |  |  | 100000 |  | 100000
1998 | 0.2667 | 126670 | 0.05334 | 105330 | 0.03 | 103000 |  |  | 2000 | -0.1014 |  |  | 0 | 0 | 100000 | 0.02
1999 | 0.1953 | 151409 | 0.03906 | 109448 | 0.03 | 106090 |  |  | 2001 | -0.1304 |  |  | 0 | 0 | 100000 | 0.02
2000 | –10.14% | 136056 | 0 | 109448 | 0.03 | 109272.7 |  |  | 2002 | -0.2337 |  |  | 0 | 0 | 100000 | 0.02
2001 | –13.04% | 118314 | 0 | 109448 | 0.03 | 112550.89 |  |  | 2003 | 0.2638 |  |  | 0.2 |  |  | 0.02
2002 | –23.37% | 90664 | 0 | 109448 | 0.03 | 115927.41 |  |  | 2004 | 0.0899 |  |  | 0.2 |  |  | 0.02
2003 | 0.2638 | 114581 | 0.05276 | 115227 | 0.03 | 119405.23 |  |  | 2005 | 0.03 |  |  | 0.2 |  |  | 0.02
2004 | 0.0899 | 124882 | 0.01798 | 117301 | 0.03 | 122987.39 |  |  | 2006 | 0.1362 |  |  | 0.2 |  |  | 0.02
2005 | 0.03 | 128629 | 0.0006 | 124339 | 0.03 | 126677.01 |  |  | 2007 | 0.0353 |  |  | 0.2 |  |  | 0.02
2006 | 0.1362 | 146148 | 0.02724 | 127721 | 0.03 | 130477.32 |  |  | 2008 | -0.3849 |  |  | 0 |  |  | 0.02
2007 | 0.0353 | 151307 | 0.00706 | 128628 | 0.03 | 134391.64 |  |  | 2009 | 0.2345 |  |  | 0.2 |  |  | 0.02
2008 | –38.49% | 93069 | 0 | 128628 | 0.03 | 138423.39 |  |  | 2010 | 0.1278 |  |  | 0.2 |  |  | 0.02
2009 | 0.2345 | 117894 | 0.0469 | 134660 | 0.03 | 142576.09 |  |  | 2011 | 0 |  |  | 0 |  |  | 0.02
2010 | 0.1278 | 129577 | 0.02556 | 138108 | 0.03 | 146853.37 |  |  | 2012 | 0.1341 |  |  | 0.2 |  |  | 0.02
2011 | 0 | 129577 | 0 | 138108 | 0.03 | 151258.97 |  |  | 2013 | 0.296 |  |  | 0.2 |  |  | 0.02
2012 | 0.1341 | 146953 | 0.02682 | 141809 | 0.03 | 155796.74 |  |  | 2014 | 0.1139 |  |  | 0.2 |  |  | 0.02
2013 | 0.296 | 190451 | 0.0592 | 150204 | 0.03 | 160470.64 |  |  | 2015 | -0.0073 |  |  | 0 |  |  | 0.02
2014 | 0.1139 | 212144 | 0.02278 | 153629 | 0.03 | 165284.76 |  |  | 2016 | 0.0954 |  |  | 0.2 |  |  | 0.02
2015 | –0.73% | 210595 | 0 | 153629 | 0.03 | 170243.31 |  |  | 2017 | 0.1942 |  |  | 0.2 |  |  | 0.02
2016 | 0.0954 | 230686 | 0.01908 | 156563 | 0.03 | 175350.61 |  |  | 2018 | -0.0624 |  |  | 0 |  |  | 0.02
2017 | 0.1942 | 275485 | 0.03884 | 162638 | 0.03 | 180611.12 |  |  | 2019 | 0.2888 |  |  | 0.2 |  |  | 0.02
2018 | –6.24% | 258295 | 0 | 162638 | 0.03 | 186029.46 |  |  | 2020 | 0.1626 |  |  | 0.2 |  |  | 0.02
2019 | 0.2888 | 332891 | 0.05776 | 172038 | 0.03 | 191610.34 |  |  | 2021 | 0.2689 |  |  | 0.2 |  |  | 0.02
2020 | 0.1626 | 387019 | 0.03252 | 177630 | 0.03 | 197358.65 |  |  | Year | S&P 500 |  | Account Value |  | Interest Credited | Account Value | MYGA | Account Value
2021 | 0.2689 | 491088 | 0.05378 | 187186 | 0.03 | 203279.41
Spreadsheet: 81397d1281604865-get-info-from-one-row-into-another-based-on-a-cell-example_need_help
Sheet: Sheet1

Comment | Name | Age | Location | Time
 | Tom07
 | Tom08
 | Tom09
 | [NAME]
 | Tom11
Spreadsheet: 131095d1322737990-index-match-index-match
Sheet: Sheet1

Month | Company | Ranking
2011-11-01 00:00:00 | YesMen | 1
2011-11-01 00:00:00 | Plumbers Inc | 2
2011-11-01 00:00:00 | Dell | 3
2011-11-01 00:00:00 | Water Co | 4
2011-11-01 00:00:00 | Ice Digger | 5
2011-10-01 00:00:00 | Water Co | 1
2011-10-01 00:00:00 | Plumbers Inc | 2
2011-10-01 00:00:00 | Ice Digger | 3
2011-10-01 00:00:00 | Dell | 4
2011-10-01 00:00:00 | YesMen | 5
2011-09-01 00:00:00 | YesMen | 1
2011-09-01 00:00:00 | Water Co | 2
2011-09-01 00:00:00 | Ice Digger | 3
2011-09-01 00:00:00 | Plumbers Inc | 4
2011-09-01 00:00:00 | Dell | 5