tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 878280d1725356159-calculating-the-time-difference-between-two-dates-working-hours-mode-delivery-delay2
Sheet: Sheet1

Deadline | Finished | [NAME], Working Hours | Delivery Delay (24h mode) |  |  |  | WORKING DAY STARTS: | 09:00:00 | WORKING DAY ENDS: | 17:30:00
2024-03-20 14:15:00 | 2024-07-30 12:05:00
2024-05-07 11:15:00 | 2024-07-30 11:40:00
2024-01-03 13:00:00 | 2024-02-01 16:52:00
2024-03-08 15:30:00 | 2024-03-22 16:03:00
2024-06-18 12:15:00 | 2024-06-28 10:38:00
2024-04-16 14:15:00 | 2024-04-23 15:38:00
2024-07-03 09:00:00 | 2024-07-08 11:37:00
2024-05-03 10:00:00 | 2024-05-07 17:16:00
2024-03-22 15:45:00 | 2024-03-26 08:34:00
2024-08-14 14:45:00 | 2024-08-15 18:04:00
2024-04-30 14:45:00 | 2024-05-01 14:11:00
2024-03-19 11:15:00 | 2024-03-20 09:46:00
2024-02-01 16:00:00 | 2024-02-02 09:26:00
2024-06-17 17:00:00 | 2024-06-18 09:54:00
2024-03-11 17:30:00 | 2024-03-12 08:51:00
2024-05-14 18:15:00 | 2024-05-15 08:27:00
2024-06-27 11:45:00 | 2024-06-27 17:20:00
2024-02-14 11:00:00 | 2024-02-14 16:15:00
2024-03-28 14:00:00 | 2024-03-28 17:15:00
2024-06-27 14:15:00 | 2024-06-27 17:06:00
2024-04-15 11:00:00 | 2024-04-15 12:50:00
2024-03-26 15:00:00 | 2024-03-26 16:37:00
2024-05-22 09:45:00 | 2024-05-22 11:08:00
2024-04-22 11:00:00 | 2024-04-22 12:23:00
2024-06-17 14:15:00 | 2024-06-17 15:24:00
2024-06-13 16:45:00 | 2024-06-13 17:51:00
2024-04-30 15:00:00 | 2024-04-30 16:02:00
2024-02-12 14:45:00 | 2024-02-12 15:25:00
2024-07-09 16:00:00 | 2024-07-09 16:35:00
2024-03-07 15:15:00 | 2024-03-07 15:33:00
2024-06-11 09:00:00 | 2024-06-11 09:06:00
2024-02-05 13:45:00 | 2024-02-05 13:49:00
2024-06-06 09:00:00 | 2024-06-06 09:03:00
2024-07-09 15:30:00 | 2024-07-09 15:33:00
2024-01-15 10:00:00 | 2024-01-15 10:02:00
Spreadsheet: 0a20bcc2-96f0-4346-a224-00bd499b86e2
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8
Lewis & Clark College |  | Destination : |  |  | Name: |  |  | Mail   ______
Travel & Entertainment Expense Report |  | Dates of Travel: |  |  | Address: |  |  | E-Check ______
Effective as of June 1, 2013 |  | Purpose of Travel:
 |  | Supervisor Travel Authorization:
TRAVEL: | Sunday | Monday | Tuesday | Wednesday | Thursday | Friday | Saturday | Totals
Date:
Destination:
Airfare |  |  |  |  |  |  |  | 0
Auto Mileage @ $0.57 |  |  |  |  |  |  |  | 0
Taxi, Car Rental |  |  |  |  |  |  |  | 0
Lodging |  |  |  |  |  |  |  | 0
Breakfast (see below) |  |  |  |  |  |  |  | 0
[NAME] (see below) |  |  |  |  |  |  |  | 0
Dinner (see below) |  |  |  |  |  |  |  | 0
Other |  |  |  |  |  |  |  | 0
Entertainment (Complete Below) |  |  |  |  |  |  |  | 0
Totals: | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
ENTERTAINMENT: | (details to support entry above)
Date |  | Company/Individual |  |  | Description, Including Business Purpose |  |  | Amount
Per Diem Meal Rates for Travel Within the US: |  | These Rates in Effect through 12/31/13:
 |  | Breakfast | Lunch | Dinner | Total | Do not include meals provided by a third party.
Full Day, High Cost Areas (see below) |  | 12 | 18 | 30 | 60 | Do not include meals which could reasonably be eaten
Full Day, All Other Areas |  | 10 | 15 | 25 | 50 | at home on the dates of departure or return.
High Cost Metropolitan Areas:
Baltimore, Boston, Chicago, New York City, Philadelphia, |  |  | Supervisor Authorization: |  | Date | Cash Summary
San Francisco, Seattle, Washington D.C. |  |  |  |  |  | Total Cost of Trip |  | 0
High Cost States: |  |  |  |  |  | Less Items Charged to College
Alaska and Hawaii |  |  | Print Supervisor Name: |  |  |  | Airfare
I hereby certify that all expenses on this report were incurred for [NAME] |  |  | Account |  | Amount
& Clark business purposes and conform to the College Travel and |  |  |  |  |  | Total Paid by [NAME] |  | 0
Entertainment Policy. |  |  |  |  |  | Less: Travel Advances
 |  |  |  |  |  | Amount to be Reimbursed |  | 0
 |  |  |  |  |  | [NAME] to Cashiers
[NAME]'s signature |  | Date |  |  |  | (Attach receipt)
Spreadsheet: 190170d1351544175-match-and-append-subsets-of-records-from-one-file-to-another-workbooka
Sheet: Sheet1

JHHNO | SEX | RACE | AGE | INSURANCE
111111 | M | 1 | 54 | PUBLIC
222222 | M | 2 | 32 | HMO
333333 | F | 3 | 61 | PRIVATE
444444 | F | 4 | 29 | HMO
555555 | M | 5 | 54 | PUBLIC
666666 | M | 6 | 69 | HMO
777777 | F | 7 | 70 | PRIVATE
888888 | F | 8 | 29 | HMO
999999 | M | 9 | 18 | PUBLIC
Spreadsheet: 729554d1619164422-vlookup-and-ifs-combined-dispenser-forecast-1-
Sheet: Install Calendar

 | Probability % | May | June | July | August | September | October | November | December | Total
Mini | 0.25
 | 0.5
 | 0.75
 | 0.9
 | !00%
 | Total
Maxi | 25
 | 50
 | 75
 | 90
 | 100
 | Total
Mat | 25
 | 50
 | 75
 | 90
 | 100
 | Total
POD | 25
 | 50
 | 75
 | 90
 | 100
 | Total
Spreadsheet: 775341d1649041189-div-error-on-filter-functions-in-multiple-criteria-test-b
Sheet: Report

N |  | 2019-01-02 00:00:00 | Add one more condition > |  |  | *(Details!BT4:BT15412>90%<=120%)
CODE ID | Code | Party | ENTRY Date | Cross | ICode | [NAME] | UOM | GQY | DISC | % Bal
 | 360695 | [NAME] FOOD | 43451 | N | 10885 | PARLE KRACK | KG | 800 | 1306.15 | 1.6326875
AL/1009 | 360695 | [NAME] FOOD | 43451 | N | 12581 | BIKAKJI | KG | 3000 | 3216.34 | 1.07211333333333
AL/1010 | 360853 | ALASKA | 43451 | N | 11177 | [NAME] | PCS | 5000 | 5841 | 1.1682
AL/1011 | 360477 | JOHNSON & JOHNSON | 43451 | N | 12801 | BABY SAMPO | KG | 2000 | 1262.08 | 0.63104
AL/1012 | 360370 | DABUR INDIA | 43451 | N | 13105 | LENS KART | KG | 400 | 346.9 | 0.86725
AL/1013 | 360887 | RAJMAHAL CO LTD | 43451 | N | 13110 | RAJBHOG | KG | 5000 | 4535 | 0.907
Spreadsheet: 684076d1593127424-calculating-hours-worked-over-three-sections-of-the-day-calculating-hours-worked-over-three-sections-of-the-day
Sheet: Tuesday

week | LastName | FirstName | PersonalNr | Start | End | Start Time | End Time | ShiftMins | ShifTime | AdjStart | AdjEnd | AdjStartTime | AdjEndTime | AdjShiftMins | AdjShifTime
23 |  |  | 10008128 | 2020-06-02 05:04:22 | 2020-06-02 16:26:36 | 05:04 | 16:26 | 682 | 11:22 | 2020-06-02 05:00:00 | 2020-06-02 16:30:00 | 05:00 | 16:30 | 690 | 11:30
23 |  |  | 10007310 | 2020-06-02 07:37:15 | 2020-06-02 15:34:15 | 07:37 | 15:34 | 477 | 7:57 | 2020-06-02 07:30:00 | 2020-06-02 15:30:00 | 07:30 | 15:30 | 480 | 8:00
23 |  |  | 10007297 | 2020-06-02 23:33:46 | 2020-06-03 12:27:40 | 23:33 | 12:27 | 774 | 12:54 | 2020-06-02 23:30:00 | 2020-06-03 12:30:00 | 23:30 | 12:30 | 780 | 13:00
23 |  |  | 10011194 | 2020-06-02 02:04:22 | 2020-06-02 13:16:12 | 02:04 | 13:16 | 672 | 11:12 | 2020-06-02 02:00:00 | 2020-06-02 13:15:00 | 02:00 | 13:15 | 675 | 11:15
23 | [NAME] | bloggs | 10007274 | 2020-06-02 03:34:49 | 2020-06-02 16:23:23 | 03:34 | 16:23 | 769 | 12:49 | 2020-06-02 03:30:00 | 2020-06-02 16:30:00 | 03:30 | 16:30 | 780 | 13:00
Spreadsheet: 135539d1326116807-league-table-ranking-epl-table
Sheet: Sheet1

CLUB | P | W | D | L | GF | GA | [NAME] | PTS | Tie Breaker |  | CLUB | P | W | D | L | GF | GA | [NAME] | PTS
Arsenal | 20 | 11 | 3 | 6 | 36 | 28 | 8 | 36 | 36.008036 |  | Liverpool | 20 | 15 | 3 | 2 | 56 | 16 | 40 | 48
Bburn | 20 | 3 | 5 | 12 | 29 | 43 | -14 | 14 | 13.986029 |  | Man Utd | 20 | 14 | 3 | 3 | 49 | 20 | 29 | 45
Bol Wand | 20 | 5 | 1 | 14 | 25 | 43 | -18 | 16 | 15.982025 |  | Spurs | 19 | 13 | 3 | 3 | 36 | 20 | 16 | 42
Chelsea | 20 | 11 | 4 | 5 | 39 | 25 | 14 | 37 | 37.014039 |  | Chelsea | 20 | 11 | 4 | 5 | 39 | 25 | 14 | 37
Everton | 19 | 7 | 3 | 9 | 20 | 22 | -2 | 24 | 23.99802 |  | Arsenal | 20 | 11 | 3 | 6 | 36 | 28 | 8 | 36
Fulham | 20 | 5 | 8 | 7 | 22 | 26 | -4 | 23 | 22.996022 |  | Man City | 20 | 9 | 7 | 4 | 24 | 18 | 6 | 34
Liverpool | 20 | 15 | 3 | 2 | 56 | 16 | 40 | 48 | 48.040056 |  | New Utd | 20 | 9 | 6 | 5 | 29 | 25 | 4 | 33
Man City | 20 | 9 | 7 | 4 | 24 | 18 | 6 | 34 | 34.006024 |  | Sto City | 20 | 8 | 5 | 7 | 22 | 31 | -9 | 29
Man Utd | 20 | 14 | 3 | 3 | 49 | 20 | 29 | 45 | 45.029049 |  | Norw City | 20 | 6 | 7 | 7 | 30 | 35 | -5 | 25
New Utd | 20 | 9 | 6 | 5 | 29 | 25 | 4 | 33 | 33.004029 |  | Sunderland | 20 | 6 | 6 | 8 | 27 | 23 | 4 | 24
Norw City | 20 | 6 | 7 | 7 | 30 | 35 | -5 | 25 | 24.99503 |  | Everton | 19 | 7 | 3 | 9 | 20 | 22 | -2 | 24
QPR | 20 | 4 | 5 | 11 | 19 | 35 | -16 | 17 | 16.984019 |  | Swa City | 20 | 5 | 8 | 7 | 20 | 23 | -3 | 23
Spurs | 19 | 13 | 3 | 3 | 36 | 20 | 16 | 42 | 42.016036 |  | Fulham | 20 | 5 | 8 | 7 | 22 | 26 | -4 | 23
Sto City | 20 | 8 | 5 | 7 | 22 | 31 | -9 | 29 | 28.991022 |  | Fulham | 20 | 5 | 8 | 7 | 22 | 26 | -4 | 23
Sunderland | 20 | 6 | 6 | 8 | 27 | 23 | 4 | 24 | 24.004027 |  | WBA | 20 | 6 | 4 | 10 | 19 | 28 | -9 | 22
Swa City | 20 | 5 | 8 | 7 | 20 | 23 | -3 | 23 | 22.99702 |  | Wolves | 20 | 4 | 5 | 11 | 22 | 36 | -14 | 17
Villa | 20 | 5 | 8 | 7 | 22 | 26 | -4 | 23 | 22.996022 |  | QPR | 20 | 4 | 5 | 11 | 19 | 35 | -16 | 17
WBA | 20 | 6 | 4 | 10 | 19 | 28 | -9 | 22 | 21.991019 |  | Bol Wand | 20 | 5 | 1 | 14 | 25 | 43 | -18 | 16
[NAME] | 20 | 3 | 6 | 11 | 18 | 41 | -23 | 15 | 14.977018 |  | [NAME] | 20 | 3 | 6 | 11 | 18 | 41 | -23 | 15
Wolves | 20 | 4 | 5 | 11 | 22 | 36 | -14 | 17 | 16.986022 |  | Bburn | 20 | 3 | 5 | 12 | 29 | 43 | -14 | 14
Spreadsheet: 37863d1235971348-count-help-sample
Sheet: DataCards&Keys

 | [NAME] | Karnataka | Tamilnadu
PCMCIA
USB
Region | Location | User Name | Designation | PCMCIA / USB | Service Provider | Serial No. | Model | Date of Acquired | SIM NO. | Phone Number
 | Column1 | Column2 | Column3 | Column4 | Column5 | Column6 | Column7 | Column8 | Column9 | Column10
AP |  |  |  | USB
AP |  |  |  | PCMCIA
AP |  |  |  | PCMCIA
AP |  |  |  | PCMCIA
AP |  |  |  | PCMCIA
AP |  |  |  | USB
AP |  |  |  | USB
AP |  |  |  | USB
AP |  |  |  | USB
AP |  |  |  | USB
AP |  |  |  | USB
AP |  |  |  | USB
AP |  |  |  | USB
AP |  |  |  | USB
AP |  |  |  | USB
AP |  |  |  | USB
AP |  |  |  | USB
AP |  |  |  | PCMCIA
AP |  |  |  | USB
AP |  |  |  | PCMCIA
AP |  |  |  | USB
AP |  |  |  | USB
KAR |  |  |  | PCMCIA
KAR |  |  |  | PCMCIA
KAR |  |  |  | USB
KAR |  |  |  | PCMCIA
KAR |  |  |  | USB
KAR |  |  |  | USB
KAR |  |  |  | USB
KAR |  |  |  | USB
TN |  |  |  | PCMCIA
TN |  |  |  | PCMCIA
TN |  |  |  | PCMCIA
TN |  |  |  | PCMCIA
TN |  |  |  | PCMCIA
TN |  |  |  | PCMCIA
TN |  |  |  | PCMCIA
TN |  |  |  | USB
TN |  |  |  | USB
TN |  |  |  | USB
TN |  |  |  | USB
 |  |  |  | PCMCIA
Spreadsheet: 684286d1593266836-how-to-count-same-numbers-products-from-another-data-from-each-rows-c2-i1000000-inventory
Sheet: Cover

Sr no | SAP code | Product A | Product B | Product C | Product D | Product E | Product F | product G | Counted same product from 2nd data (from each rows)
JA-0090-20 | SS-002245 | 125666 | 125667 | 15 | 556 | 557 | 558 | 556 | 6
JA-0090-21 | SS-002246 | 01 | 2985 | 02 | 668 | 88855 | 09 | 888 | 7
JA-0090-22 | SS-002247 | 21333 | 67345986 | 475 | 4423 | 999323 | 7767987 | 345934 | 3
JA-0090-23 | SS-002248
JA-0090-24 | SS-002249
JA-0090-25 | SS-002250
Spreadsheet: 709053d1608140474-progress-bar-in-each-cell-based-on-values-progress-bar-etaf
Sheet: codes

Status | Column1
Returned to client | 1 |  |  | Wait for Dispatch to Service | 0
At Service for repair | 0.2 |  |  | At Service for repair | 0.2
At Company for repair |  |  |  | In transit to Company | 0.5
In Company Pool |  |  |  | Wait for Dispatch to Client | 0.8
In Quarantine |  |  |  | Returned to client | 1
Returned to the lab
In transit to service
In stock
In transit to Company | 0.5
Wait for Dispatch to Client | 0.8
Wait for Dispatch to Service | 0
Spreadsheet: 809075d1670872413-formula-instead-of-text-to-column-excel-help-15
Sheet: Sheet1

[NAME] [NAME]
Yes |  | Example
1.46 |  | [NAME]
1.52 |  | [NAME]
1.55 |  | [NAME]
1.56 |  | Pavel Buchnevich
1.58 |  | [NAME]
1.6 |  | [NAME]
1.64 |  | [NAME]
1.67 |  | [NAME]
1.94 |  | [NAME]
1.98 |  | [NAME]
2.02 |  | [NAME]
2.02 |  | [NAME]
2.04 |  | Nino Niederreiter
2.43 |  | Tanner Jeannot
Spreadsheet: b26ae1bf-56b2-4207-8037-5498f84eb010
Sheet: Sheet1

Test Referenced | Entry Type | Mayo ID | Description | Reporting Description | Method | Collection Container | Temperature | Stability | [NAME] | Unit of Measure | [NAME] | Minimum Volume | Reject Due To | Reference Values | Days/Times Performed | Analytic Time | Maximum Lab Time | CPT Units | CPT Code | LOINC® Code | LOINC® Attributes | Always Performed | Orderable Separately | Performing Location
ANAP | Test | ANAP | Anaplasma phagocytophilum (Human Granulocytic Ehrlichiosis) Antibody, Serum | Anaplasma phagocytophilum Ab, IgG,S | Immunofluorescence Assay (IFA) | Serum Gel Tube: SGT |  |  | 0.5 | mL | Container/Tube:  Preferred: Red top Acceptable: Serum gel [NAME]: 0.5 mL | 0.15 mL | Hemolysis	Mild OK; Gross reject Thawing	Warm reject; Cold OK Lipemia	Mild OK; Gross reject Icterus	NA Other	NA | <1:64 | Monday through Friday; 9 a.m. | 1 day | 3 days | 1 | 86666 |  |  |  |  | Rochester
ANAP | [NAME] | SERUM | Serum |  |  |  | Refrigerated | 14 days
ANAP | Result | 81157 | Anaplasma phagocytophilum Ab, IgG,S | Anaplasma phagocytophilum Ab, IgG,S | Alphanumeric |  |  |  |  | titer |  |  |  |  |  |  |  |  |  | 23877-4
Spreadsheet: 0abcdace-c183-4a19-96ec-8ee95607d489
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11 | Unnamed: 12 | Unnamed: 13 | Unnamed: 14
 |  |  |  |  |  |  | Pronuclear Injection Request Form
 |  |  |  |  |  |  | University of Maryland, Baltimore    School of Medicine Transgenic Core Laboratory   Howard Hall 581    706-0453
 |  |  |  |  |  |  |  |  | PRONUCLEAR INJECTION
 |  |  |  |  |  | Request Date
 |  |  |  |  |  | PI Name |  |  |  |  | Campus Address
 |  |  |  |  |  | Greenebaum Cancer Center Member? |  |  |  |  | (Office)
 |  |  |  |  |  |  | YES | NO |  |  | (Lab)
 |  |  |  |  |  | Department
 |  |  |  |  |  | Phone |  |  |  |  | email
 |  |  |  |  |  | Lab Contact |  |  |  |  | email
 |  |  |  |  |  | Chartstring to be charged
 |  |  |  |  |  | Animal Space Location: |  |  |  |  |  | ARF# |  | Exp. Date
 |  |  |  |  |  |  |  |  |  |  |  | Please include a copy of your protocol approval letter
 |  |  |  |  |  | [NAME] strain for injections (indicate): |  |  | B6C3F1 |  | C57BL/6NCr |  | FVB | Other
 |  |  |  |  |  | Please provide 10 ug of plasmid DNA digest for each project with enzymes inactivated or removed
 |  |  |  |  |  | Construct Name:
 |  |  |  |  |  |  |  | Please provide 1) a linear map of your construct 2) gel picture of plasmid digest indicating injection fragment
 |  |  |  |  |  | Vector
 |  |  |  |  |  | Restriction enzyme(s) used to excise injection fragment:
 |  |  |  |  |  | Size of injection frag (kb) |  |  |  |  | Conc & vol of DNA provided (ug/uL, uL)
 |  |  |  |  |  | Tail biopsies will be provided to PI when pups are 1 week of age, PI must take posession of pups at 28 days of age.
 |  |  |  |  |  | Please report assay results promptly to the Transgenic/Knockout Core Facility at  6-0453
 |  |  |  |  |  | Screening Assay: |  | PCR | Southern |  | Provide a gel photo (PCR) of the screening assay indicating 1) positive control,
 |  |  |  |  |  | (circle one) |  |  |  |  | 2) negative control and 3) demonstration of 1-copy gene per genome sensitivity
 |  |  |  |  |  | Do you require the Transgenic Lab to prep DNA from tail biopsies? |  |  |  |  |  | YES | NO
 |  |  |  |  |  | Please provide a project description as it pertains to the use of transgenic animals:
 |  |  |  |  |  | Has this construct been used to generate transgenic animals previously? |  |  |  |  |  |  | YES | NO
 |  |  |  |  |  | Are phenotypic problems expected (i.e. [NAME])? |  |  |  |  |  |  | YES | NO
 |  |  |  |  |  |  |  |  |  |  |  | if yes, explain
 |  |  |  |  |  | PI Signature: |  |  |  |  |  |  |  | Date
 |  |  |  |  |  | Transgenic Lab Approval: |  |  |  |  |  |  |  | Date
 |  |  |  |  |  | Return this completed form to: Transgenic Core Facility, [NAME] (FAX [PHONE])
 |  |  |  |  |  | This form and all requested information and supporting data must be received prior to project initiation
Spreadsheet: 0bac1f5d-6b8d-400f-823e-490bdc297a0e
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Current City or [NAME] --> | 11 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11 | Unnamed: 12 | Unnamed: 13 | Unnamed: 14 | Unnamed: 15 | Unnamed: 16
 |  | Current Cost/Gal of Gas --> | 3.5
Annual Miles Driven |  | Existing Gas Mileage | Gals Used | Cost per Gal of Gas |  | 50% Better Mileage | Gals Used | Cost per Gal of Gas |  | 75% Better Mileage | Gals Used | Cost per Gal of Gas |  | 100% Better Mileage | Gals Used | Cost per Gal of Gas
 |  |  |  | 3.5 |  |  |  | 3.5 |  |  |  | 3.5 |  |  |  | 3.5
5000 |  | 11 | 454.5454545454546 | 1590.909090909091 |  | 16.5 | 303.030303030303 | 1060.606060606061 |  | 19.25 | 259.7402597402597 | 909.090909090909 |  | 22 | 227.2727272727273 | 795.4545454545455
7500 |  | 11 | 681.8181818181819 | 2386.363636363636 |  | 16.5 | 454.5454545454546 | 1590.909090909091 |  | 19.25 | 389.6103896103896 | 1363.636363636364 |  | 22 | 340.9090909090909 | 1193.181818181818
10000 |  | 11 | 909.0909090909091 | 3181.818181818182 |  | 16.5 | 606.060606060606 | 2121.212121212121 |  | 19.25 | 519.4805194805194 | 1818.181818181818 |  | 22 | 454.5454545454546 | 1590.909090909091
12500 |  | 11 | 1136.363636363636 | 3977.272727272727 |  | 16.5 | 757.5757575757576 | 2651.515151515152 |  | 19.25 | 649.3506493506494 | 2272.727272727273 |  | 22 | 568.1818181818181 | 1988.636363636364
15000 |  | 11 | 1363.636363636364 | 4772.727272727273 |  | 16.5 | 909.0909090909091 | 3181.818181818182 |  | 19.25 | 779.2207792207793 | 2727.272727272727 |  | 22 | 681.8181818181819 | 2386.363636363636
17500 |  | 11 | 1590.909090909091 | 5568.181818181818 |  | 16.5 | 1060.606060606061 | 3712.121212121212 |  | 19.25 | 909.0909090909091 | 3181.818181818182 |  | 22 | 795.4545454545455 | 2784.090909090909
20000 |  | 11 | 1818.181818181818 | 6363.636363636364 |  | 16.5 | 1212.121212121212 | 4242.424242424242 |  | 19.25 | 1038.961038961039 | 3636.363636363636 |  | 22 | 909.0909090909091 | 3181.818181818182
22500 |  | 11 | 2045.454545454545 | 7159.090909090909 |  | 16.5 | 1363.636363636364 | 4772.727272727273 |  | 19.25 | 1168.831168831169 | 4090.909090909091 |  | 22 | 1022.727272727273 | 3579.545454545455
25000 |  | 11 | 2272.727272727273 | 7954.545454545454 |  | 16.5 | 1515.151515151515 | 5303.030303030303 |  | 19.25 | 1298.701298701299 | 4545.454545454546 |  | 22 | 1136.363636363636 | 3977.272727272727
27500 |  | 11 | 2500 | 8750 |  | 16.5 | 1666.666666666667 | 5833.333333333334 |  | 19.25 | 1428.571428571429 | 5000 |  | 22 | 1250 | 4375
30000 |  | 11 | 2727.272727272727 | 9545.454545454546 |  | 16.5 | 1818.181818181818 | 6363.636363636364 |  | 19.25 | 1558.441558441559 | 5454.545454545455 |  | 22 | 1363.636363636364 | 4772.727272727273
Spreadsheet: 128041d1320759040-how-to-make-the-source-for-a-list-made-in-data-validation-conditional-on-another-cell-help
Sheet: Sheet1

 | table 1
 |  | Vælg fra liste:
 | År | 2014
 | Måned | Maj
 | table 2
 |  | Start
 | År | 2012
 | Måned | Februar
 | Dag | 1
 | table 3
 |  | Slut
 | År | 2012
 | Måned | Januar
 | Dag | 29
Spreadsheet: 50193d1249571616-creating-a-table-from-a-list-on-a-previous-sheet-footballbetting
Sheet: Sheet3

 | Week #1 Games | 6
 | Betting Team | vs | Opposing Team | Bet Line | Spread | Score | Result | Amount Rsk | Amount Won/Loss
1 | Florida Gators |  | Troy
2 | Texas Longhorns |  | At Wyoming
3 | USC Trojans |  | San Jose State
4 | Oklahoma Sooners |  | Tulsa
5 | LSU Tigers |  | At Washington
6 | Ohio State Buckeyes |  | Navy
 | TOTAL |  |  |  |  |  |  | XXXX | XXXX
 | Week #2 Games | 6
 | Betting Team | vs | Opposing Team | Bet Line | Spread | Score | Result | Amount Rsk | Amount Won/Loss
1 | Florida Gators |  | Tennessee
2 | Texas Longhorns |  | UTEP
3 | USC Trojans |  | At Washington
4 | Oklahoma Sooners |  | Baylor
5 | LSU Tigers |  | [NAME]
6 | Ohio State Buckeyes |  | At Toledo
 | TOTAL |  |  |  |  |  |  | XXXX | XXXX
 | Week #3 Games | 6
 | Betting Team | vs | Opposing Team | Bet Line | Spread | Score | Result | Amount Rsk | Amount Won/Loss
1 | Florida Gators |  | At Kentucky
2 | Texas Longhorns |  | Colorado
3 | USC Trojans |  | Washington State
4 | Oklahoma Sooners |  | Kansas State
5 | LSU Tigers |  | UL Lafayette
6 | Ohio State Buckeyes |  | Illionois
 | TOTAL |  |  |  |  |  |  | XXXX | XXXX
 | Week #4 Games | 6
 | Betting Team | vs | Opposing Team | Bet Line | Spread | Score | Result | Amount Rsk | Amount Won/Loss
1 | Florida Gators |  | Arkansas
2 | Texas Longhorns |  | At Baylor
3 | USC Trojans |  | Stanford
4 | Oklahoma Sooners |  | Texas A&M
5 | LSU Tigers |  | At Miss State
6 | Ohio State Buckeyes |  | At Indiana
 | TOTAL |  |  |  |  |  |  | XXXX | XXXX
Spreadsheet: 112548d1308665662-graphing-ranges-range-graphing-dilemma
Sheet: Sample

 | 2 | 2
 | 1 | 1
 | 0 | 0 |  |  |  | 50 | 52 | 54 | 56 | 58 | 60 | 62 | 64 | 66 | 68 | 70 | 72 | 74 | 76 | 78 | 80 | 82 | 84 | 86 | 88 | 90 | 92 | 94 | 96 | 98 | 100 | Dist to next point | Betwn points
Store X | Threshold - 50th | Benchmk 95th | Green Start | Base- Line | Current Perf
Measure #1 | 66.02 | 82.52 | 64 | 66.07060981201244 | 66
Measure #2 | 75 | 84.7 | 71.84777947990081 | 70.3977794799008 | 72
Measure #3 | 79.42 | 89 | 82.0066155814025 | 81.2166155814025 | 85
Measure #4 | 59.28 | \ | 57 | 56.2515821606725 | 58.5
Measure #5 | 61.82 | 77.69 | 63.57888305204094 | 62 | 60
Notes:
Blue range = B start, C end
Green range =D Start, C end
Orange marker = CurrentPerformance
Spreadsheet: 887936d1738250521-rotating-schedule-advice-line-assignment
Sheet: Oct 17-Dec 11 2022

Line # | PRI | LINE ASSIGNEMENT
1 | 69212074 | KRYSTEN PIRAINO
2 | 37902628 | [NAME]
3 | 96710802 | [NAME]
4 | 74470434 | [NAME]
5 | 28504631 | [NAME]
6 | 14055201 | TERRY TEAL
7 | 91188121 | [NAME]
8 | 39606759 | ROBYN HORNYAK
9 | 62359622 | [NAME]
10 | 24564591 | GREG COLE
11 | 24252204 | [NAME]
12 | 37015923 | [NAME]
13 |  | [NAME] HARRIS- A Supt
14
15 | 23744138 | [NAME]
16 |  | [NAME] Traffic
17 | 49421158 | PATRICIA MASSE
18 | 14440237 | RYAN FORAN
19 | 80764576 | SACHA PROVENCHER
20 | 56735057 | KRIS FLEGG
21 | 99717662 | [NAME]
22 |  | REAL PICARD
23 | 17642418 | [NAME]
24 | 57182604 | NATHAN WALKER
25 | 23877944 | MAGDA ARMAND
26 | 59711582 | KERRIE CALLA
27 | 65476719 | EMILIO MOLLO
28 | 50473190 | [NAME]
29 | 60559721 | TRAVIS [NAME]
30 |  | ROBIN KELLAR
31 |  | KEVIN FORD- CEU
32 | 11404574 | [NAME]
33 | 50203193 | [NAME]
34 | 46545786 | TRAVIS WILLICK
35 |  | [NAME] DETLOR- ceu
36 |  | KEVIN HALL- A/Supt
37 | 80229522 | JUSTIN HALL
38 | 54174449 | [NAME] GORDON
39 | 97102016 | [NAME]
40 | 39537714 | [NAME]
41 | 38704552 | [NAME]
42 | 96994835 | [NAME]
43 | 54059453 | SCOTT NICHOLLS
44 | 13820311 | [NAME] DILAPO
45 |  | CHRIS PATTERSON- [NAME]
46 |  | EDWIN BORRAYO- Traffic
47 | 17694647 | CAT STEVENS
48 |  | [NAME] TATTERSALL- LWOP
49 |  | TERRI BELTRAME- CEU
50 | 70483566 | YARO TURCHMANOVYC
51 | 55107613 | [NAME]
52 | 22025448 | [NAME]
53 | 88663760 | HELEN STEWART
54 | 97873233 | LARRY CARROLL
55 | 26290499 | JASON WALLINGTON
56
57 | 93909454 | ROB CARD
58
59 | 35156872 | [NAME]
60 | 72583983 | LARRY TUFTS
61 | 61474940 | GERRY GAGNON
62
63 | 27328198 | DAVE JOHNSTON
64 | 86407643 | [NAME]
65
66 | 92699685 | [NAME]
67 |  | [NAME]
68 | 49413503 | KERRI SUSICK
69 | 88193683 | SCOTT LEACH
70 |  | EVERETT MILBERRY
71 | 70600287 | [NAME]
72 | 16208560 | TIFFNEY CARTER
73 | 12731471 | DOUG HORNYAK
74 |  | MARK HALL- UPS
75 |  | [NAME]
76 | 31395554 | DAN COBER
8 | 80123988 | RYAN WILLICK
19 | 44353499 | [NAME] DODD
43 |  | [NAME]
40 | 95806474 | [NAME]
16 |  | [NAME]
25 |  | [NAME]
17 |  | [NAME]