tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 9d9ef6e9-8174-4e6d-a491-2278646c9994
Sheet: F3

 | 3 |  |  |  |  |  |  |  | Purchased Cost of Nutrient
 | Inputs
 |  |  |  |  |  |  |  |  |  | $ |  | per pound of Crude Protein
 |  | What is the name of this feed? |  | [NAME] (Good) |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Feed | Price per Unit | lbs per unit | %DM | CP | TDN |  |  |  | Rate per mile | miles | Units per load |  | Waste (per cent) |  | Price per Unit | Waste (per cent) |  | Price per Unit | Waste (per cent) | Units consumed
 |  |  |  |  |  |  |  |  |  | $ |  | per pound of TDN
 |  | How much does this feed cost? | $ | 300 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1
 |  |  |  |  |  |  |  |  |  | $ |  | per pound of DM
 |  | The above price is for how many pounds of feed? |  | 2000 | pounds per unit
 |  | What is the percent dry matter? |  | 0.9 | * |  |  |  | Delivered Cost of Nutrient
 |  | What is the percent Crude Protein (on a DM basis) |  | 0.184 | * |  |  |  |  | $ |  | per pound of Crude Protein
 |  | What is the percent TDN (on a DM basis) |  | 0.59 | * |  |  |  |  | $ |  | per pound of TDN
 |  | How far will this feed be transported? |  | 80 | miles |  |  |  |  | $ |  | per pound of DM
 |  | What is the cost per loaded mile? | $ | 4.5 | per mile
 |  |  |  |  |  |  |  |  | Fed Cost of Nutrient
 |  |  |  | 20
 |  |  |  |  |  |  |  |  |  | $ |  | per pound of Crude Protein
 |  | How much of the feed will be lost in hauling? |  | 0.005
 |  |  |  |  |  |  |  |  |  | $ |  | per pound of TDN
 |  | How much will it cost to store this feed? | $ | 1
 |  |  |  |  |  |  |  |  |  | $ |  | per pound of DM
 |  | How much of the feed will be lost in storage? |  | 0.01
 |  | How much will it cost to feed this feed? | $ | 7 |  |  |  |  | Consumed Cost of Nutrient
 |  | How much will be lost when feeding? |  | 0.1 |  |  |  |  |  | $ |  | per pound of Crude Protein
 |  |  |  |  |  |  |  |  |  | $ |  | per pound of TDN
 |  | Cost per pound of feed consumed |  |  |  |  |  |  |  | $ |  | per pound of DM
 | * | Common compositions of feeds may be seen in the 'Feed List' tab.
Spreadsheet: 678336d1589826368-formula-for-highlighting-cells-that-do-not-match-does-not-work-excel-forum
Sheet: Sheet1

Last Date Modified | Barcode No. | Blocked | Description 2 | Status | Maintenance Vendor No. | Responsible Employee | Search Description | Product No. | Service Item No. | Assigned FA Status | FA Class Code | FA Subclass Code | Column1 | Column2 | Column1 | Column2
2018-12-13 00:00:00 | 001281-FB1 |  | [NAME] | Sold |  |  | ACCORA FLOOR BED 400LB-CI | 1800.02.005C |  |  | R-1800 | 180002005 | [NAME] |  | 1800 | 1800 | 1 | 1 | 1800 | 1800
2018-12-13 00:00:00 | 001283-FB1 |  | AFB3680 | Sold |  |  | NSB-0-FL1-200US | 0610.08.090 |  |  | R-0610 | 061008090 |  |  | 0610 | 610 | 2 | 3 | 0610 | 610
2019-05-02 00:00:00 | 001311-FB1 |  | [NAME] | Sold |  |  | ACCORA FLOOR BED 400LB-CI | 1800.02.005C |  |  | R-1800 | 180002005 |  |  | 1800 | 1800 |  |  | 1800 | 1800
2018-12-13 00:00:00 | 001351-FB1 |  | [NAME] | Sold |  |  | ACCORA FLOOR BED 400LB-CI | 1800.02.005C |  |  | R-1800 | 180002005 |  |  | 1800 | 1800 |  |  | 1800 | 1800
2018-11-20 00:00:00 | 001359-FB1 |  | [NAME] | Sold |  |  | ACCORA FLOOR BED 400LB-CI | 1800.02.005C |  |  | R-1800 | 180002005 |  |  | 1800 | 1800 |  |  | 1800 | 1800
2018-11-20 00:00:00 | 001368-FB1 |  | [NAME] | Sold |  |  | ACCORA FLOOR BED 400LB-CI | 1800.02.005C |  |  | R-1800 | 180002005 |  |  | 1800 | 1800 |  |  | 1800 | 1800
Spreadsheet: 6db20d96-ab42-4ba3-939c-36cbde66aaa0
Sheet: Compute

Compute Costs
DISCLAIMER: This is a sample worksheet making assumptions for a specific scenario, and without considering partner discounts. You can use this worksheet as a sample to get you started. |  |  |  |  |  |  |  |  |  | Legend:
 |  |  |  |  |  |  |  |  |  |  | Azure costs that could require update
VM Size | Instances | Hourly $ | Monthly $/Instance | Monthly $[NAME] | Yearly $ Total/Instance | Yearly $ Total |  |  |  |  | Input values that are source for calculations on the page
xs | 0 | 0.04
s |  | 0.12
m |  | 0.24
l |  | 0.48
xl |  | 0.96
Estimation Worksheet
Assumptions:
fewer producers online consuming media than consumers
% of concurrent users is estimated
100 KB/S transfer for media, less for small pages
memory usage per second uses multiplier from page/media size buffer
How many users?
 | Current | Q1 | Q2 | Q3 | Q4
# producers | 50 | 50 |  |  |  |  | 0.5 | growth per quarter
# consumers | 100 | 100 |  |  |  |  | 2 | growth per quarter
How many users online? | Percent | # [NAME]
% producers online | 0.03
% consumers online | 0.03
What bandwidth and memory requirements?
 | Usage | KB/s | total bandwidth (KB/s) | total bandwidth (MB/s) | Memory Usage (KB/s) | Memory Usage (GB/s)
Usage by user
# concurrent media producers |  | 100
# concurrent media consumers |  | 100
# pages / sec | 300 | 10
# reports /sec | 100 | 100
 |  |  |  |  | Memory Multiplier | 3
Bandwidth concerns are primarily related to concurrent media uploads/downloads, concurrent page requests and related upload/download transfers.
Memory concerns vary by application, should try to reduce concurrent memory requirements by chunking or streaming media.
CPU usage and diskspace also matter but are harder to predict, monitor trends and increase accordingly.
Spreadsheet: 72870d1273587442-auto-population-of-summary-sheet-test-data
Sheet: SL-6

SL-6 | Containers In Port
S.NO | REGION | CONTAINER NUMBER | SEAL NUMBER | BASED PORT USED FOR CNF COSTING | DATE OF LOADING / DATE IN PORT | SUPPLIER | EVEREST QUALITY MANUAL  MATERIAL CODE | QUALITY | DETAILED MATERIAL DESCRIPTION | NET WT. (MT) | PAY LOAD (MT) | TARE WEIGHT (MT) | FOB  PRICE  - USD / TEU | FOB  PRICE  - USD  / PMT | OCEAN FREIGHT (EXCLUDING THC) | C & F  PRICE  - USD / MT | C & F  PRICE  - USD / MT INCL. MARKETING & SELLING EXP. | CONTAINER STATUS             FCL / CRS  /  BLI / SOB | INSPECTION AGENCY | REMARKS
SL-6-1
SL-6-2
SL-6-3
SL-6-4
SL-6-5
SL-6-6
SL-6-7
SL-6-8
SL-6-9
SL-6-10
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SL-6-99
SL-6-100
Spreadsheet: 858772d1707329521-how-to-analyze-survey-text-data-multiple-answers-are-selected-original-data
Sheet: Sheet2

 | department | study IDs
[NAME] | Department Urology | 2022-0234
 |  | 2314-0123
 |  | 2022-1090
[NAME] | Department Cardiovascular | 123-4567
 |  | 3456-1234
 |  | 2020-1090
Mandy | Department Cardiovascular | 2020-0472
 |  | 2020-0444
 |  | 2023-0999
[NAME] | Department Cardiovascular
[NAME] | Department Myloma | 2022-0111
 |  | 2023-0444
 |  | 2019-0333
Celine | Department Lymphoma | 2024-2024
Celine | Department Investigational | 2019-0001
 |  | nci0923434
 |  | alliance000111
Spreadsheet: louise_kitchen__24136__North America Plan 01-08 adj
Sheet: Options

 | Options
 | 2002 Plan
 |  |  |  |  |  |  |  |  |  | Per HC | New HC | Adjust Comp
 |  | 2001-09-01 00:00:00 |  | 2001 | 2002 |  | % |  |  |  |  |  |  | 2002
 |  | YTD Actual |  | Forecast | Plan |  | of Total |  |  |  |  |  |  | Plan
ENACOMP | Compensation |  |  |  |  |  |  |  | Compensation | 0
 | Special Pays |  |  |  | 0
 | Analysts & Associates
ENABENTX | Benefits & Payroll Taxes |  |  |  |  |  |  |  | Other
ENAEMPEX | Employee Expense
ENAT&EEX | Travel & Entertainment Expense |  |  |  |  |  |  |  | Total
ENAOUTSV | Outside Services |  |  |  | 78000
ENASUPP | Supplies Expense
ENAMKTEX | Marketing |  |  |  |  |  |  |  | [NAME] | 33600 | 0
ENACONTR | Charitable Contributions |  |  |  |  |  |  |  | [NAME] | 52800 | 0
ENARENT | Rent |  |  |  |  |  |  |  | Staff | 54000 | 0
ENATECH | Technology |  |  |  |  |  |  |  | Specialist | 63000 | 0
ENATRANS | Transportation |  |  |  | 0 |  |  |  | Sr. Specialist | 78000 | 0
ENAOTHEX | Other Expenses |  |  |  |  |  |  |  | Analyst | 66000 | 0
ENATAXES | Taxes Other than Income |  |  |  |  |  |  |  | Associate | 97200 | 0
ENATOTDR | Total Direct Expenses |  |  |  |  |  |  |  | Manager | 120000 | 3
 |  |  |  |  |  |  |  |  | Director | 156000 | 0
 | Headcount |  |  |  |  |  |  |  | Sr. Director | 180000 | 0
 |  |  |  |  |  |  |  |  | VP | 216000 | 1
 | Analyst & Associate Headcount |  |  |  |  |  |  |  | MD | 240000 | 0
 | Total Headcount |  |  |  |  |  |  |  |  |  |  |  |  | 1
 |  |  |  |  |  |  |  | Other Expense Calculation
 | Outside Services | 524067
 |  |  |  |  |  |  |  | Total Misc Exp | Old HC | Exp/Old HC | New HC | Exp/New HC
Spreadsheet: 15eeee22-a2d2-49c5-a6e3-95cf22d74731
Sheet: Summary MAG-Guajira

PRESUPUESTO ENTIDADES EJECUTORAS
MAGDALENA Y GUAJIRA
Nombre Entidad Ejecutora:
Detalle | Presupuesto  Total | Tope Presupuestal
[NAME]
Monitoreo y Evaluación
[NAME] y [NAME]
Total Rubros de Funcionamiento
[NAME]
Total Destinación Específica
PRESUPUESTO TOTAL
XXXXXX
REPRESENTANTE LEGAL
Spreadsheet: jim_schwieger__14302__Bronco Division Rescheduled Games _4
Sheet: Sheet2

School | Team | Win | Loss | Tie | Standing
Bronco-Gray
[NAME] | Angels | 10 | 4 | 0 | F | 6
[NAME] | White Sox | 2 | 12 | 0 | F | 18
[NAME] | Padres | 4 | 9 | 0 | 1 | 14
Bleyl | Astros | 9 | 3 | 2 | F | 7
Bleyl | [NAME] | 1 | 12 | 1 | F | 19
Bleyl | Mariners | 0 | 14 | 0 | F | 20
Campbell | Tigers | 2 | 12 | 0 | F | 17
[NAME] | Cardinals | 7 | 7 | 0 | F | 10
[NAME] | Rockies | 14 | 0 | 0 | F | 1
[NAME] | Rangers | 12 | 2 | 0 | F | 3
[NAME] | Cubs | 6 | 8 | 0 | F | 11
[NAME] | Pirates | 5 | 7 | 2 | F | 13
Labay | Yankees | 12 | 2 | 0 | F | 4
Labay | Reds | 7 | 6 | 1 | F | 9
Labay | Mets | 13 | 1 | 0 | F | 2
[NAME] | Red Sox | 10 | 3 | 1 | F | 5
[NAME] | D'Backs | 8 | 6 | 0 | F | 8
[NAME] | Braves | 3 | 7 | 3 | F | 15
Truitt | Dodgers | 5 | 7 | 2 | F | 12
Truitt | Twins | 3 | 11 | 0 | F | 16
School | Team | Win | Loss | Tie | Standing
Bronco-Maroon
[NAME] | Angels | 9 | 5 | 0 | F | 2
Bleyl | [NAME] | 1 | 11 | 2 | F | 8
Campbell | Astros | 3 | 10 | 1 | F | 7
[NAME] | Reds | 8 | 5 | 1 | F | 3
[NAME] | Cardinals | 7 | 7 | 0 | F | 5
[NAME] | A's | 8 | 3 | 3 | F | 4
Labay | Braves | 10 | 4 | 0 | F | 1
Truitt | Dodgers | 6 | 7 | 1 | F | 6
Spreadsheet: 481920d1474746216-lookup-a-formula-example
Sheet: Formulas

 |  | Name | [NAME]
 |  | A | Formula 1
 |  | B | Formula 2
 |  | C | Formula 3
 |  | D | Formula 4
 |  | E | Formula 5
 |  | Name | [NAME]
 |  | A | =IF([@x4]="Q";[@x]*[@x2])
 |  | B | =IF([@x4]="W";[@x]*[@x3])
 |  | C | =IF([@x4]="E";[@x]*[@x2]*[@x3])
 |  | D | =IF([@x4]="R";[@x]*[@x2]-[@x3])
 |  | E | =IF([@x4]="T";[@x]-[@x2]+[@x3])
Spreadsheet: 876547d1723255378-assign-dates-as-late-as-possible-without-duplicates-dfer43-latest-production-date
Sheet: Latest to Earliest

Production Run # | Latest Production Date | Actual Production Date ? |  | Potential Production Dates
1 | 2025-06-10 00:00:00 |  |  | 2025-03-26 00:00:00
2 | 2025-06-17 00:00:00 |  |  | 2025-04-09 00:00:00
3 | 2025-06-23 00:00:00 |  |  | 2025-05-03 00:00:00
4 | 2025-07-05 00:00:00 |  |  | 2025-05-07 00:00:00
5 | 2025-07-05 00:00:00 |  |  | 2025-05-11 00:00:00
6 | 2025-07-08 00:00:00 |  |  | 2025-05-25 00:00:00
7 | 2025-07-08 00:00:00 |  |  | 2025-06-08 00:00:00
8 | 2025-07-14 00:00:00 |  |  | 2025-06-12 00:00:00
9 | 2025-07-17 00:00:00 |  |  | 2025-06-16 00:00:00
10 | 2025-07-25 00:00:00 |  |  | 2025-06-20 00:00:00
11 | 2025-08-14 00:00:00 |  |  | 2025-06-22 00:00:00
12 | 2025-08-22 00:00:00 |  |  | 2025-07-06 00:00:00
 |  |  |  | 2025-07-10 00:00:00
 |  |  |  | 2025-07-14 00:00:00
 |  |  |  | 2025-07-18 00:00:00
 |  |  |  | 2025-08-01 00:00:00
 |  |  |  | 2025-08-15 00:00:00
 |  |  |  | 2025-08-19 00:00:00
Spreadsheet: 764203d1642638097-search-column-for-text-string-and-return-row-number-fuzzy-match-row-number
Sheet: Sheet1

 |  |  |  | NOTE: the "+1" is a 1 row offset because the data starts at Sheet2!G2
 |  |  | formula =
 |  | item 1 |  | matches item 15 because it is fuzzy match
 |  | item 2 |  | so, your data MUST be unique enough that the string you search for can NOT exist in any other cell in the range
 |  | item 3
 |  | item 4
 |  | item 5
 |  | item 6
 |  | item 7
 |  | item 8
 |  | item 9
Spreadsheet: 780876d1652847207-calculate-hours-worked-at-day-rate-and-night-rate-minus-breaks-example-schedule-ans4
Sheet: Daily Rota

Name | Start | End | Total Hours | Total Night Hours Between Midnight & 05:00 | Total Day Hours Between 05:00 & Midnight | Break Entitlement (Based On Total Hours) | Total Paid Hours |  | 05:30:00 |  |  |  |  |  | Break rules | Hrs | Eligible
Staff Member 1 | 20:00:00 | 07:00:00 |  |  |  |  |  |  | Break Rules 4 hours or more but <6 hours = 15 minutes 6 hours or more but <8 hours = 30 minutes 8 hours or more but <9 hours = 45 minutes 9 hours or more but <11 hours = 1 hour 11 hours or more = 90 minutes |  |  |  |  |  |  | 0 | 0
Staff Member 2 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4 | 0.25
Staff Member 3 | 20:00:00 | 02:00:00 |  |  |  |  |  |  |  |  |  |  |  |  |  | 6 | 0.5
Staff Member 4 | 08:00:00 | 17:00:00 |  |  |  |  |  |  |  |  |  |  |  |  |  | 8 | 0.75
Total Hours |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 9 | 1
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 11 | 1.5
 |  |  | NOTE: | Break rule table added in Q:R column.
 |  |  |  | Cell J1 is having closing hoursof night hours.
Spreadsheet: 822840d1679562496-working-hours-employee-records-changing-only-the-employees-name-while-printing-the-recod-evidencija
Sheet: 02 2023

 | USTANOVA:
 | Evidencija o radnom vremenu za mjesec |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2023. god.
 | Ime i prezime radnika, služba: |  |  |  |  |  |  |  |  | FIRST NAME - LAST NAME
 | Red.br. | [NAME] | Datum u mjesecu |  |  |  | Početak rada |  |  | [NAME] rada |  |  | [NAME] rada |  |  | Ukupno dnevno [NAME] |  |  | Vrijeme terenskog rada |  |  | Vrijeme pripravnosti |  |  | Vrijeme neprisustva na poslu |  |  |  | Sati noćnog rada |  |  |  | Sati rada subotom i nedjeljom |  |  |  | Sati rada blagdanom |  |  |  | Sati rada- blagdan [NAME] |  |  |  | Ukupno [NAME]
 | 1 | 2 | 2a |  |  |  | 3 |  |  | 4 |  |  | 5 |  |  | 6 |  |  | 7 |  |  | 8 |  |  | 9 |  |  |  | 10 |  |  |  | 10a |  |  |  | 10b |  |  |  | 10c |  |  |  | 11
 | 1 | srijeda | 2023-03-01 00:00:00
 | 2 | četvrtak
 | 3 | petak
 | 4 | subota
 | 5 | nedjelja
 | 6 | ponedjeljak
 | 7 | utorak
 | 8 | srijeda
 | 9 | četvrtak
 | 10 | petak
 | 11 | subota
 | 12 | nedjelja
 | 13 | ponedjeljak
 | 14 | utorak
 | 15 | srijeda
 | 16 | četvrtak
 | 17 | petak
 | 18 | subota
 | 19 | nedjelja
 | 20 | ponedjeljak
 | 21 | utorak
 | 22 | srijeda
 | 23 | četvrtak
 | 24 | petak
 | 25 | subota
 | 26 | nedjelja
 | 27 | ponedjeljak
 | 28 | utorak | 2023-03-28 00:00:00
 | 29 | srijeda
 | 30 | četvrtak
 | 31 | petak
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | UKUPNO SATI U MJESECU
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | NORMA RADNIH SATI
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | PREKOVREMENI SATI
 |  | [NAME] odgovorne osobe |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | UKUPNO RADNIH DANA
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | UKUPNO DOLAZAKA
 |  | ________________________________
Spreadsheet: 140619d1328821171-inventory-yfeb-food-total-values
Sheet: 2-6-12

 | Breakfast | Quantity | Measure | Food Item | Cost | Daily Points
 |  | 1 | Cup | Cheerios
 | Daily Total | 0.5 | Cup | Milk
 | Lunch | Quantity | Measure | Food Item | Cost | Daily Points
 |  | 1 | Piece | English Muffin
 |  | 24 | Gram | [NAME]
 |  | 28 | Gram | Turkey
 |  | 0.5 | Stick | [NAME]
 | Dinner | Quantity | Measure | Food Items | Cost | Daily Points
 |  | 1 | Serving | [NAME] chicken | 1.31 | 12
 |  | 1 | serving | tea
Spreadsheet: 148023d1333103869-formula-to-pull-through-headers-for-each-section-formulahelp
Sheet: Sheet1

 |  | CAPITAL ASSETS
 | CAPITAL ASSETS | BOOKCOST | 100 | 100 | 100 | 100
 | CAPITAL ASSETS | UNREALISED G/L ON SECURITIES | 100 | 100 | 100 | 100
 | CAPITAL ASSETS | AUSTRALIAN DOLLAR | 100 | 100 | 100 | 100
 | CAPITAL ASSETS | CANADIAN DOLLAR | 100 | 100 | 100 | 100
 | CAPITAL ASSETS | SWISS FRANC | 100 | 100 | 100 | 100
 |  | CAPITAL LIABILITIES
 | CAPITAL LIABILITIES | CURRENCY PAYABLE | 100 | 100 | 100 | 100
 | CAPITAL LIABILITIES | FORWARD CURRENCY PAYABLE | 100 | 100 | 100 | 100
 | CAPITAL LIABILITIES | SECURITIES PURCHASED PAYABLE | 100 | 100 | 100 | 100
 |  | INCOME ASSETS
 | INCOME ASSETS | INCOME CASH | 100 | 100 | 100 | 100
 | INCOME ASSETS | ACCRUED INCOME RECEIVABLE | 100 | 100 | 100 | 100
 | INCOME ASSETS | DIVIDEND INCOME | 100 | 100 | 100 | 100
Spreadsheet: 713337d1610650691-tracking-sales-growth-related-to-marketing-start-dates-vary-by-location-full-data-set-redacted-
Sheet: Output

 |  | 2020-06-28 00:00:00 | 2020-08-09 00:00:00
 |  | Fiscal Weel
 |  | Week Beginning |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | LTV vs. Prior Weeks |  |  |  |  |  | Prior Period |  | Active Period
 |  | Sales |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Initiative | All Other |  |  |  |  | Start | End | Start | End
 |  | Initiative 1 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2020-08-09 00:00:00
 |  | LY Sales
 |  | % YoY Growth
 |  | % Var. vs All Other
 |  | Initiative 2
 |  | LY Sales
 |  | % YoY Growth
 |  | % Var. vs All Other
 |  | Initiative 3
 |  | LY Sales
 |  | % YoY Growth
 |  | % Var. vs All Other
 |  | Initiative 4
 |  | LY Sales
 |  | % YoY Growth
 |  | % Var. vs All Other
 |  | Initiative 5
 |  | LY Sales
 |  | % YoY Growth
 |  | % Var. vs All Other
 |  | All Other
 |  | LY Sales
 |  | % YoY Growth
Spreadsheet: 3a68e954-fe27-4694-ac02-8572d8184bff
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5
Employer Contribution Form
 | Instructions:
Please complete this using a computer, print clearly or type.  Be sure to save a completed copy.  Account Numbers and Contribution Year must be provided.  Send this along with a check (payable to Bank of Cashton) for the grand total to:
 | Bank of Cashton, 723 Main Street, Cashton, WI 54619
Company Name:
Company Address: (Street, City, State, Zip)
Contact Name: (First, Last)
[NAME]:
Phone: |  |  | Ext:
Would you like an email confirming this deposit? |  |  | ____
Contribution Year1 (Required)
 | 1 If Contribution Year is left blank, your contribution will be deposited for the tax year in which it was received.
 | Employee Name |  | Account # (7 digits req.) | Contribution Amount *Please note column order*
 | First | Last |  | Employee | Employer
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
 | Sub Total Page 1: |  |  | 0 | 0
 | Total Page 1: |  |  | 0
 | Grand Total: | 0 |  |  | Page 1
 | Employee Name |  | Account # (7 digits req.) | Contribution Amount *Please note column order*
 | First | Last |  | Employee | Employer
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
 | Sub Total Page 2: |  |  | 0 | 0
 | Total Page 2: |  |  | 0
 |  |  |  |  | Page 2
 | Employee Name |  | Account # (7 digits req.) | Contribution Amount *Please note column order*
 | First | Last |  | Employee | Employer
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
 | Sub Total Page 3: |  |  | 0 | 0
 | Total Page 3: |  |  | 0
 |  |  |  |  | Page 3
Spreadsheet: 204303d1357438149-circular-reference-time-calculation6
Sheet: Sheet1

profile knife grinding time / knife (min) | 30 |  |  |  | 7 | 8 | 9 | 10 | 11 | 1 | 2 | 02:30:00
Straight knife grinding time / knife (min) | 25 |  |  |  |  |  |  |  |  |  |  |  | Maximum throughput molder
 |  |  |  |  |  |  |  |  |  |  |  |  | Maximum throughput rip saw
 |  | linear ft/min |  |  | MONDAY
Molder (linear ft/hr) | 2100 |  |  |  | Pattern | 2 | 3 | 4 | 5 | 6 | 7 | 8 | Daily total ft
[NAME] saw (linear ft/hr) | 4200 |  |  |  | [NAME] saw length (ft) | 500 | 500 | 500 | 500 | 10000 | 10000 | 10000
Surfacer (linear ft/hr) | 9000 |  |  |  | Second process | straight | sander | sander | sander | sander | sander | sander
Sander (linear ft/hr) | 9000 |  |  |  | Pattern | 1 | 2 | 3 | 4 | 5 | 6 | 7
Set-up time molder (min) | 15 |  |  |  | Molder length (ft) | 500 | 1000 | 500 | 500 | 500 | 500 | 500
Break (min) | 15 |  |  |  | Pattern | 2 | 3 | 4 | 5 | 6 | 7 | 1
Swap heads (linear ft) | 6000 |  |  |  | [NAME] saw run time (min)
Cutter change time (min) | 15 |  |  |  | Pattern | 1 | 2 | 3 | 4 | 5 | 6 | 7
Cutter flip time (min) | 10 |  |  |  | Molder run time (min)
 |  |  |  |  | seccondary process time (min)
 |  |  |  |  | Secondary process time
A & B | Pattern 1 |  |  | Pattern 2 |  | Pattern 3 |  | Pattern 4 |  | Pattern 5
Process | Molder start |  | Molder stop | Molder start | Molder stop | Molder start | Molder stop | Molder start | Molder stop | Molder start | Molder stop
C | Pattern |  |  | Pattern |  | Pattern |  | Pattern |  | Pattern |  | Pattern |  | Pattern |  | Pattern |  | Pattern |  | Pattern |  | Pattern |  | Pattern |  | Pattern |  | Pattern
 | 2
Process | [NAME] saw start |  | [NAME] saw stop
 | 07:00:00
 |  |  |  | E | G | I | K | M | O | Q | S | U | W | Y | AA | AC
 | 2 |  |  | 2,3 | 3,4 | 3,4,5 | 4,5,6 | 4,5,6,7 | 5,6,7,8 | 6,7,8 | 6,7,8 | 6,7,8 | 7,8 | 7,8 | 8 | 8
Spreadsheet: 62261d1263238099-match-and-sort-book1
Sheet: Sheet1

1 | car | 5 | tree | 2 | car
7 | bread | 2 | car | 8 | bread
3 | tree | 8 | bread | 5 | tree
4 | fish | 5 | sky | #N/A
 |  |  |  | #N/A
 |  |  |  | #N/A
 |  |  |  | #N/A
Spreadsheet: 758450d1638882264-average-if-statement-averageifs
Sheet: Sheet1

 |  |  | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec
2021-01-22 00:00:00 |  | 5
2021-02-11 00:00:00 |  | 12
2021-01-14 00:00:00 |  | 7
2021-12-07 00:00:00 |  | 7
2021-10-15 00:00:00 |  | 32
2021-01-31 00:00:00 |  | 14
2021-06-23 00:00:00 |  | 11
2021-12-07 00:00:00 |  | 21
2021-06-23 00:00:00 |  | 18
 |  |  | expect 8.6666
Spreadsheet: 715349d1611671390-allocate-from-a-shared-pool-sharedpoolallocationtest
Sheet: Sheet1

Spend Type | Can Draw From | Total Possible Spend | Remaining | Spend (manual input) |  | Cash Pool | £
1 | A, C, D, E, F |  |  |  |  | A | 10
2 | A |  |  |  |  | B | 15
3 | A, B, C |  |  |  |  | C | 5
4 | B, C, F |  |  |  |  | D | 0
5 | B, E |  |  |  |  | E | 18
6 | A, E |  |  |  |  | F | 3
Spreadsheet: 882386d1730772020-find-the-most-recent-entry-in-a-table-sample
Sheet: Absences

Employee No. | Absence Type | Absence Type Desc | Absence Date | Year | Month | 1Day | Concatenate | [NAME]
20056927 | 1000 | Annual Leave | 2024-05-13 00:00:00 | 2024 | 05 | 1
20056927 | 1000 | Annual Leave | 2024-05-14 00:00:00 | 2024 | 05 | 1
20056927 | 1000 | Annual Leave | 2024-05-15 00:00:00 | 2024 | 05 | 1
20056927 | 1000 | Annual Leave | 2024-05-16 00:00:00 | 2024 | 05 | 1
20056927 | 1000 | Annual Leave | 2024-05-17 00:00:00 | 2024 | 05 | 1
20056927 | 1000 | Annual Leave | 2024-08-21 00:00:00 | 2024 | 08 | 1
20056927 | 1000 | Annual Leave | 2024-08-22 00:00:00 | 2024 | 08 | 1
20056927 | 1000 | Annual Leave | 2024-08-23 00:00:00 | 2024 | 08 | 1
20056927 | 1000 | Annual Leave | 2024-08-24 00:00:00 | 2024 | 08 | 1
20056927 | 1000 | Annual Leave | 2024-08-25 00:00:00 | 2024 | 08 | 1
20056927 | 1000 | Annual Leave | 2024-08-26 00:00:00 | 2024 | 08 | 1
20056927 | 1000 | Unpaid Absence | 2024-09-01 00:00:00 | 2024 | 08 | 1
20056927 | 1000 | [NAME] | 2024-09-02 00:00:00 | 2024 | 08 | 1