tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 166803d1341822079-how-to-change-background-color-of-a-cell-to-black-if-value-is-n-a-returned-from-vlookup-development_swing-ticket-20120709
Sheet: SwingTicketData

PrintshopID | DateInSystem | CustOrgID | CustPONumber | POCtrlNo | ShippingMethodCode | VendorRefCode | Courier | CourierAcctNo | VendorRef | ShipToOrgName | ShipToContactName | ShipToAddress1 | ShipToAddress2 | ShipToAddress3 | ShipToCity | ShiptoState | ShiptoZip | ShipToCountryCode | ShipToCountryName | ShipToPhone | [NAME] | ShipToEmail | VendorRef | DetailCtrlNo | SBOrigCode | CustItemCode | Quantity | UOM | OrderWeight | ItemCtrlID | PrimarySize | SecondarySize | PantoneCode | MSRP | UPC | InforLine1 | Color | Story | StyleNumber | XPartSets
Z56 | 41062 |  | 1063710 |  | REGULAR | 05254 |  |  | 1063710 |  |  |  |  |  |  |  |  | AQ | ANTARCTICA |  |  |  |  |  |  | ST/L2101OT | 20 |  |  |  | 12 | 0 | 367C | 99.99 | 86535763 | [NAME] | BLUE MIX | Story Desc Test | T32/5089
Z56 | 41062 |  | 1063710 |  | REGULAR | 05254 |  |  | 1063710 |  |  |  |  |  |  |  |  | AQ | ANTARCTICA |  |  |  |  |  |  | ST/L2101OT | 12 |  |  |  | 0 | 0 | #N/A |  | 77987689 | [NAME] | BLUE MIX |  | T32/5089 | 2 PART SET
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | remark: print size X - Y onto left and right size block if there is "-", print "-" across the two upper size blocks
remark: Z56 refers to Brilliant |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | remark: texts print to next line after "/" within same size block |  |  |  | remark: Concatenate "Dept" + "/" + "SupplierCode" + "/" + "Stroke"
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | remark: secondary size is printed at lower part size block. when there is "-", print size in cm on the left size block, print size in inch on the right size block |  |  |  |  |  |  | remark: concatenate "Dept" + "Stroke"
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | remark: When there is "/", use two pantone colors on 4 size blocks, the former for the upper left, the later one for upper right size block.
Spreadsheet: 134875d1325687919-excel-2007-conditional-formatting-test
Sheet: Sheet1

ORDER NUMBER | CUSTOMER | CTY | FROM | INCO | PORT OF DESTINATION | MODE OF TRANSPORT | PGI | LD | ETD | ETA | BL | DOC REQ | RECEIVED | Forwarder | Comments | PO NUMBER | Data
 |  | BRAZIL | HV | CPT | SANTOS | AIR | 2011-12-12 00:00:00 | 2012-01-04 00:00:00 |  |  |  |  |  | CLEVE |  |  | SEA
 |  |  |  |  |  | Sea |  |  |  |  |  |  |  |  |  |  | AIR
 |  |  |  |  |  | AIR |  | 2012-01-05 00:00:00 |  |  |  |  |  |  |  |  | ROAD
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | PICK-UP
 | [NAME] BEFORE DOC REQUESTS
 | BRAZIL ORDERS: DRAFT BL IS REQUESTED PLEASE REMIND FORWARDERS
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Answer
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | You don't need the IF in the condition - lets say we are talking about Cells C2 and D2 being empty - then the condition would be
 |  |  |  |  |  |  | Sea | =IF(G2="SEA"; (I2<=TODAY()-6)) |  |  |  |  |  |  | =AND(isblank(c2),isblank(d2))
 |  |  |  |  |  |  | Air | =IF(G2="Air"; (I2<=TODAY());"no")
 |  |  |  |  |  |  | Road |  |  |  |  |  |  |  | IF both C2 and D2 are blank, the condition is true, so the conditional formatting kicks in.
 |  |  |  |  |  |  | Pickup
Spreadsheet: 433160d1449020951-finding-where-used-set-meals
Sheet: Sheet1

 | Set A | Set B | Set C
Apple | 1 | 0 | 1
[NAME] | 0 | 2 | 1
Chicken | 1 | 0 | 0
Steak | 0 | 1 | 0
Sussage | 0 | 0 | 1
Coke | 0 | 1 | 1
[NAME] | 1 | 0 | 0
Spreadsheet: 886927d1737031712-data-transfer-from-different-sheets-to-one-main-sheet-tabs-merged-2025-01alexf
Sheet: Sheet A

Data 1 | Data 2 | Data 3
2 | 175 | 691
208 | 208 | 52
761 | 631 | 130
851 |  | 48
307 | 398 | 564
733 | 185 | 548
8037 | 487
3987 |  | 5765
Spreadsheet: drew_fossum__8870__Fixed2
Sheet: Avista_2

[NAME]
FUEL HEDGING BOOK
Avista_2
Prod. | Contract | Contract | Fixed |  | Fuel | Settled | Futures | (Gains) and Losses
Date | Number | Name | Price |  | Dth | Price | Price | Total | Realized | Unrealized
 |  |  |  |  |  | El Paso Prmn |  | (4) | (4) | (4)
1998-10-01 00:00:00 |  | Avista
1998-11-01 00:00:00 |  | Avista |  |  |  | 1.92
1998-12-01 00:00:00 |  | Avista |  |  |  | 1.99
1999-01-01 00:00:00 |  | Avista |  |  |  | 1.73
1999-02-01 00:00:00 |  | Avista |  |  |  | 1.66
1999-03-01 00:00:00 |  | Avista |  |  |  | 1.54
1999-04-01 00:00:00 |  | Avista |  |  |  | 1.66
1999-05-01 00:00:00 |  | Avista |  |  |  | 2.16
1999-06-01 00:00:00 |  | Avista |  |  |  | 2.08
1999-07-01 00:00:00 |  | Avista |  |  |  | 2.17
1999-08-01 00:00:00 |  | Avista |  |  |  | 2.46
1999-09-01 00:00:00 |  | Avista |  |  |  | 2.78
1999-10-01 00:00:00 |  | Avista |  |  |  | 2.42
1999-11-01 00:00:00 |  | Avista |  |  |  | 2.87
1999-12-01 00:00:00 |  | Avista |  |  |  |  | 2.08
 |  |  |  |  |  | TW Index
1998-10-01 00:00:00 |  | Over-retention |  |  |  | 1.78
1998-11-01 00:00:00 |  | Over-retention |  |  |  | 1.99
1998-12-01 00:00:00 |  | Over-retention |  |  |  | 1.74
1999-01-01 00:00:00 |  | Over-retention |  |  |  | 1.73
1999-02-01 00:00:00 |  | Over-retention |  |  |  | 1.63
1999-03-01 00:00:00 |  | Over-retention |  |  |  | 1.59
1999-04-01 00:00:00 |  | Over-retention |  |  |  | 1.94
1999-05-01 00:00:00 |  | Over-retention |  |  |  | 2.06
1999-06-01 00:00:00 |  | Over-retention |  |  |  | 2.07
1999-07-01 00:00:00 |  | Over-retention |  |  |  | 2.11
1999-08-01 00:00:00 |  | Over-retention |  |  |  | 2.51
1999-09-01 00:00:00 |  | Over-retention |  |  |  | 2.36
1999-10-01 00:00:00 |  | Over-retention |  |  |  | 2.62
1999-11-01 00:00:00 |  | Over-retention |  |  |  | 2.17
1999-12-01 00:00:00 |  | Over-retention |  |  |  |  | 2.09
(4)Gain and [NAME] are a measurement of the effectiveness of meeting the stated hedge objective.
Spreadsheet: 05a736a3-7b5a-4238-a833-54cfdb7dca6c
Sheet: Exhibit XVII, Sheet 5, pg 3

Owners Forms
USAA-GIC
Pennsylvania
Claims, Losses, & Expense Summary
 |  | Paid Loss & LAE
 |  | (incl [NAME])
Accident Year | as of | 15 Months | 27 Months | 39 Months | 51 Months
2001-06-30 00:00:00 |  | 0 | 0 | 0 | 0
2002-06-30 00:00:00 |  | 0 | 0 | 0 | 0
2003-06-30 00:00:00 |  | 0 | 0 | 0 | 0
2004-06-30 00:00:00 |  | 0 | 0 | 0 | 0
2005-06-30 00:00:00 |  | 0 | 0 | 0 | 0
2006-06-30 00:00:00 |  | 0 | 0 | 0 | 0
2007-06-30 00:00:00 |  | 1023 | 1023 | 1023 | 1023
2008-06-30 00:00:00 |  | 23879 | 25716 | 25716 | 25716
2009-06-30 00:00:00 |  | 481765 | 485389 | 487454 | 487454
2010-06-30 00:00:00 |  | 552276 | 624785 | 624785
2011-06-30 00:00:00 |  | 770738 | 923744
2012-06-30 00:00:00 |  | 3417929
 |  | Paid Loss & LAE
 |  | (excl [NAME])
Accident Year | as of | 15 Months | 27 Months | 39 Months | 51 Months
2001-06-30 00:00:00 |  | 0 | 0 | 0 | 0
2002-06-30 00:00:00 |  | 0 | 0 | 0 | 0
2003-06-30 00:00:00 |  | 0 | 0 | 0 | 0
2004-06-30 00:00:00 |  | 0 | 0 | 0 | 0
2005-06-30 00:00:00 |  | 0 | 0 | 0 | 0
2006-06-30 00:00:00 |  | 0 | 0 | 0 | 0
2007-06-30 00:00:00 |  | 1023 | 1023 | 1023 | 1023
2008-06-30 00:00:00 |  | 14252 | 16088 | 16088 | 16088
2009-06-30 00:00:00 |  | 476326 | 479950 | 482015 | 482015
2010-06-30 00:00:00 |  | 428630 | 489984 | 489984
2011-06-30 00:00:00 |  | 626408 | 705117
2012-06-30 00:00:00 |  | 2822998
Spreadsheet: 03e3dc04-938b-4ec7-be01-5dd6e98ccab5
Sheet: Sheet1

2011/2012 Medicare- Open Enrollment Period
Month | #  Plan Comparisons Done | # changing plans | Staying on current plan | New to Medicare D | Office Visits | Message/ Phone Calls | Total Savings* | Average *Savings/ Person | Average *Savings/ Person Changing Plans
October '11 | 0 | 0 |  |  |  |  | 0 | 0 | 0
November '11 | 0 | 0 |  |  |  |  | 0 | 0 | 0
December '11 | 0 | 0 |  |  |  |  | 0 | 0 | 0
Total
(* Savings = Difference from '11 to '12 Medicare D - Prescription Drug plan)
___?___ Total Medicare  Clients Visiting the Office during Open Enrollment
Spreadsheet: 874902d1721406114-spread-revenue-shortfall-over-prior-years-to-cover-anticipated-shortfall-with-a-drop-down-example-of-spreadsheet
Sheet: Sheet5

 |  |  |  |  |  | [NAME] | Accumulate funds for the shortfall
 |  |  |  |  |  |  |  |  | Also want to select what years to spread the shortfall over
 |  |  |  |  | Revenues |  |  |  | for example pick
 |  |  |  | 2019 | 6767799 |  |  |  | 2021
 |  |  |  | 2020 | 14980809 |  |  |  | 2023
 |  |  |  | 2021 | 12391588 |  | -217700 |  | 2025
 |  |  |  | 2022 | 11493132 |  | -217700 |  | 2026
 |  |  |  | 2023 | 7211146 |  | -217700 |  | 2027
 |  |  |  | 2024 | 14612871 |  | -217700 |  | Want to customize the year selection based on revenues available.
 |  |  |  | 2025 | 11384160 |  | -217700
 |  |  |  | 2026 | 8338210 |  | -217700
 |  |  |  | 2027 | 11092400 |  | -217700
 |  |  |  | 2028 | 6096343 |  | -217700
 |  |  |  | 2029 | 7368983 |  | -217700
 |  |  |  | 2030 | 13634153
 |  |  |  | 2031 | 9838128 | -2177000
 |  |  |  |  |  | Create a dropdown to select how many years to spread the shortfall evenly over with a maximum of ten years
 |  |  |  |  |  | Dropdown | # of years
 |  |  |  |  |  |  | 1
 |  |  |  |  |  |  | 2
 |  |  |  |  |  |  | 3
 |  |  |  |  |  |  | 4
 |  |  |  |  |  |  | 5
 |  |  |  |  |  |  | 6
 |  |  |  |  |  |  | 7
 |  |  |  |  |  |  | 8
 |  |  |  |  |  |  | 9
 |  |  |  |  |  |  | 10
Spreadsheet: 47354d1246385633-forecasting-hours-quote-data
Sheet: Pivot

A/B | A
Sum of # of Hours | 303/313 | Region | Type
 | 303 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 303 Total | 313 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 313 Total | Grand Total
 | AU |  |  |  | AU Total | JA |  |  |  | JA Total | KO |  |  |  | KO Total | NA |  |  |  | NA Total |  | AU |  |  |  | AU Total | KOR |  |  |  | KOR Total | NA |  |  |  | NA Total
[NAME] | 1UP | FFS | Inner | Razor |  | 1UP | FFS | Inner | Razor |  | 1UP | FFS | Inner | Razor |  | 1UP | FFS | Inner | Razor |  |  | 1UP | FFS | Inner | Razor |  | 1UP | FFS | Inner | Razor |  | 1UP | FFS | Inner | Razor
Development Separation(s) | 14 | 37 | 36 | 17 | 104 | 14 | 37 | 36 | 17 | 104 | 14 | 37 | 36 | 17 | 104 | 32 | 86 | 84 | 38 | 240 | 552 | 4 | 7 | 6 | 7 | 24 | 4 | 7 | 6 | 7 | 24 | 8 | 14 | 12 | 14 | 48 | 96 | 648
Retouching | 44 | 108 | 96 | 68 | 316 | 40 | 100 | 90 | 60 | 290 | 44 | 108 | 96 | 68 | 316 | 86 | 226 | 210 | 106 | 628 | 1550 | 16 | 32 | 24 | 32 | 104 | 16 | 32 | 24 | 32 | 104 | 32 | 64 | 48 | 64 | 208 | 416 | 1966
Grand Total | 58 | 145 | 132 | 85 | 420 | 54 | 137 | 126 | 77 | 394 | 58 | 145 | 132 | 85 | 420 | 118 | 312 | 294 | 144 | 868 | 2102 | 20 | 39 | 30 | 39 | 128 | 20 | 39 | 30 | 39 | 128 | 40 | 78 | 60 | 78 | 256 | 512 | 2614
 | 58 | 145 | 132 | 85 |  | 54 | 137 | 126 | 77 |  | 58 | 145 | 132 | 85 |  | 118 | 312 | 294 | 144 |  |  | 20 | 39 | 30 | 39 |  | 20 | 39 | 30 | 39 |  | 40 | 78 | 60 | 78
Spreadsheet: 813022d1673513604-how-to-count-the-highest-possible-occurrence-in-multiple-tables-how-to-countif-highest-possible-occurrence-in-an-array-of-data-v2
Sheet: Sheet1

 | Probability | Severity |  |  | Risk Matrix (My attempt)
 | Probable | Critical |  |  |  | Catastrophic |  | Critical |  | Marginal |  | Negligible
Highest | Probable | Catastrophic |  |  | Frequent | A |  | A |  | A |  | B
 | Probable | Critical |  |  | Probable | A |  | A |  | B |  | C
 | Probable | Negligible |  |  | Occasional | A |  | B |  | C |  | D
 | Probable | Negligible |  |  | Remote | B |  | C |  | D |  | D
 | Probable | Critical |  |  | Improbable | C |  | D |  | D |  | D
Highest | Probable | Catastrophic |  |  | Incredible | D |  | D |  | D |  | D
 | Incredible | Critical
Highest | Incredible | Catastrophic |  |  | Risk Matrix (desired result)
Highest | Incredible | Critical |  |  |  | Catastrophic |  | Critical |  | Marginal |  | Negligible
 | Incredible | Negligible |  |  | Frequent | A |  | A |  | A |  | B
Highest | Improbable | Critical |  |  | Probable | A |  | A | 0 | B |  | C | 0
Highest | Improbable | Critical |  |  | Occasional | A |  | B |  | C |  | D
 | Improbable | Negligible |  |  | Remote | B |  | C |  | D |  | D
 | Improbable | Negligible |  |  | Improbable | C |  | D |  | D |  | D | 0
Highest | Improbable | Marginal |  |  | Incredible | D |  | D | 1 | D |  | D | 0
Highest | Improbable | Marginal
 |  |  |  |  | In the coloured tables, find the highest possible occurrence [NAME] being highest, Then Critical, then [NAME] then negligble.
 |  |  |  |  | Then count how may of the highest possible occurrence matching column B were found and input it into Risk classification table.
 |  |  |  |  | The Table with a purple border is the desired result
 | Severity | Probability
 | Catastrophic | Frequent |  |  | In my attempt (the Risk Matrix at the top highlighted with a red border) I have used a countifs formula which which matches two criteria and counts them all.
 | Critical | Probable |  |  | I want to, however, achieve only the highest possible severity ocurrence with highest possible meaning the greatest value number in Column D
 | Marginal | Occasional
 | Negligible | Remote |  |  | Sheet 2 shows arrows from the highest possible occurrence to where it will match in the desired result Risk Table.
 |  | Improbable
 |  | Incredible
Spreadsheet: 175374d1345505200-problem-with-match-function-using-horizontal-data-interpolate-takeoff-distance-example
Sheet: TOLD

TOLD Sheet |  |  |  |  |  | TOLD Sheet
Multi-Engine |  |  |  |  |  | Multi-Engine
Risk Mgmt # | Tach |  | Hobbs
5P's:  Plan Plane Pilot
Programing Passengers |  |  | Check Fuel!!! |  |  | V-SPEEDS:
Aircraft Identification | N8235Q |  | Date |  |  | VS0 =
Instructor |  |  | Student |  |  | VS =
Departure Point |  |  | Destination |  |  | VX =
 |  |  |  |  |  | VY =
Atmospheric Data |  |  |  |  |  | VXSE =
ATIS Code & Weather: |  |  |  |  |  | VYSE =
 |  |  |  |  |  | VSSE =
Head Wind Component |  |  | X-Wind Component |  |  | VMC =
Winds Aloft __________ | 3000 |  | 12000 |  |  | VA =
Cruising Temp _______ | 6000 |  | 15000
 | 9000 |  | 18000
Pressure Altitude |  |  | Density Altitude |  |  | VFE =
Altimeter Setting | 30.12 | Temperature in F° |  | 85
Field Elevation | 25 |  |  |  |  | VLO =
 | Weight | Arm | Moment | MAX |  | VLE =
Basic Empty Weight |  |  |  | WGTS |  | VNO =
Pilot/Front Passenger |  |  |  |  |  | VNE =
Aft Passengers |  |  |  |  |  | [NAME] =
Baggage |  |  |  |  |  | MAX Tailwind =
Fuel (___ gal. useable) |  |  |  |  |  | Personal Minimums?
[NAME] |  |  |  |  |  | Ceiling?  Visibility?
Start, Taxi, & Runup |  |  |  |  |  | Wind?
Takeoff Weight | 6144 |  |  |  |  | TAKEOFF BRIEFING
Takeoff C.G. | 156.65 |  |  |  |  | Rotation Speed is 100 MPH.
Est. Fuel Burn (___/hr) |  |  |  |  |  | Computed takeoff distance is: |  | feet
Landing Weight | 5640 |  |  |  |  | Available runway is: |  | feet
Landing C.G. | 157.07 |  |  |  |  | If engine fails before rotation, close the throttle, apply brakes as necessary.
 |  |  |  |  |  | If engine fails after rotation with runway remaining, close throttle, land, apply brakes as necessary.
Multi Engine Performance Data
Accelerate Stop Distance |  |  |  |  |  | If engine fails after rotation without runway remaining, keep turns shallow to avoid obstacles, run through the checklist time permitting, declare emergency, land straight ahead.
Runway Length Available
Best Rate of Climb (Vy) |  |  | 126 MPH
Best Angle of Climb (Vx) |  |  | 112 MPH |  |  | Do not attempt to turn back to the field without at least ______ feet AGL.  Never assume a runway landing!
Best Rate of Climb - Single Engine (Vyse) |  |  | 119 MPH
Best Angle of Climb - Single Engine (Vxse) |  |  | 105 MPH |  |  | TAKEOFF BRIEFING COMPLETE
Single Engine Service Ceiling
Landing Distance (50' Obstacle)
All items required to be completed within one hour prior to each flight.
Spreadsheet: 152446d1335384117-splitting-grand-total-column-in-pivot-collateral-info
Sheet: Sheet1

Sum of Outstanding Balance | Column Labels
Row Labels | 2012-01-31 00:00:00 | 2012-02-29 00:00:00 | 2012-03-31 00:00:00 | Grand Total
A/R |  | 2398531.79 | 6605629.49 | 9004161.280000001
Assignment | 75000.1 |  | 3055058.65 | 3130058.75
DDA/CD/Trust |  | 2046155.42 |  | 2046155.42
DDA/CD/Trust/MK | 347773.49 |  | 91000 | 438773.49
Equipment | 69262 | 244586.01 | 625448.37 | 939296.38
Farmland | 1507.47 |  | 665992.8 | 667500.27
FF&E | 279530.01 | 524746.72 | 1483899.52 | 2288176.25
Inventory | 0 | 11005000 | 0 | 11005000
Land | 4258179.51 |  | 165689.74 | 4423869.25
Lots developed |  | 5400008.55 |  | 5400008.55
[NAME] | 1772637.72 | 1315562.07 | 2298752.54 | 5386952.33
Non-Owner Occupied CRE | 67454776.5 | 26903111.9 | 110807527.1 | 205165415.5
OOCRE | 26364900.02 | 12086372.96 | 32844861.58 | 71296134.56
Other | 10914.74 |  | 618834.88 | 629749.62
Residential NOO | 36693480.92 | 7007004.109999999 | 5210401.310000001 | 48910886.34
Residential OO | 548616.76 | 37832.31 | 315427.05 | 901876.1200000001
Timberland |  | 927087.6299999999 | 3813547.890000001 | 4740635.52
Unsecured | 329385.45 | 337980 | 23153045.36 | 23820410.81
Vehicle/Aircraft/Boat | 1643.2 | 7575 | 1229179.86 | 1238398.06
(blank) |  |  | 8134425 | 8134425
Grand Total | 138207607.89 | 70241554.47 | 201118721.14 | 409567883.5
Spreadsheet: 2d5d189b-7ae9-46dd-883b-0c99991287b5
Sheet: Sheet1

Battle ID | Date & Time | Side | Victory | Score | Opp. Score | Opp. ID | Opp. Name | Scenario ID | Front | Start Date | End Date | Name EN | Name FR
42352990 | 2014-07-18 18:09:04 | AXIS | 0 | 1 | 6 | 707319 | GR50 | 7429 | mediterranean | 1941-06-15 | 1941-06-17 | [NAME] | [NAME]
42379057 | 2014-07-20 16:47:18 | AXIS | 1 | 7 | 3 | 418850 | SIR B LAW | 7661 | eastern | 1944-02-16 | 1944-02-17 | Breakout to Lisyanka | [NAME]
42379299 | 2014-07-20 17:07:39 | ALLIES | 1 | 7 | 5 | 418850 | SIR B LAW | 7661 | eastern | 1944-02-16 | 1944-02-17 | Breakout to Lisyanka | [NAME]
42450441 | 2014-07-25 19:33:05 | ALLIES | 0 | 4 | 6 | 1553688 | Sturmtiger1944 | 6150 | mediterranean | 1944-08-25 | 1944-08-25 | [NAME] | [NAME]
42459710 | 2014-07-26 12:43:49 | ALLIES | 0 | 6 | 7 | 1609461 | player1609461 | 7668 | pacific | 1945-02-26 | 1945-03-06 | The Meat Grinder | Le Hachoir à viande
42462383 | 2014-07-26 17:04:19 | ALLIES | 1 | 6 | 2 | 1541929 | sgammond2 | 12504 | mediterranean | 1943-11-05 | 1943-11-13 | [NAME] | [NAME]
Spreadsheet: 582580d1531945785-how-do-i-create-a-sheet-that-looks-at-2017-and-compares-with-2018-excel-problem
Sheet: Data Afterwards

Companies | 2017 Count | 2017 Spend | 2018 Count | 2018 Spend
Company 1 | 1 | 50 | 1 | 40
Company 2 | 1 | 0 | VOID | VOID
Company 21 | VOID | VOID | 1 | 20
Company 3 | 3 | 30 | 1 | 10
Company 4 | 1 | 5 | VOID | VOID
Company 41 | VOID | VOID | 1 | 60
Company 5 | VOID | VOID | 1 | 10
Spreadsheet: 600832d1543986701-formula-to-add-to-table-from-previous-day-report-daily-report-template-20181129
Sheet: Sheet1

 |  |  | Daily Report
[NAME] |  | [NAME], Jr.____________ |  |  |  | Date | 11/30/2018___________
Signature |  | __________________________ |  |  |  | Area(s) | Second Floor_________
Weather: | Temperature | __73°_____________
 | Condition: | Rain | Fog | Sunny | Other | _N/A____________________________________________
 |  | Cloudy | Ext. Cold | [NAME]
Task: |  |  |  |  |  | Hours today | Previous hrs | Total hrs used | Total Hrs
Crew: | Task: | Area: |  |  |  |  |  |  |  | % Comp.
 | 100 | CLP 56 and CLP 65 Breakers and Feeders to Room 154X |  |  |  |  |  | 0 | 320
 | 200 | 154X Feeders to 212 and Set 2 Panels |  |  |  |  |  | 0 | 400
 | 300 | Receptacles in Room 212/Industrial Strip Fixtures in Room 212 |  |  |  |  |  | 0 | 32
 | 400 | Second Floor Work Stations |  |  |  |  |  | 0 | 1080
 | 500 | 2 300 kVA Transformers and 2 Panels |  |  |  |  |  | 0 | 32
 | 600 | Transformer Racks |  |  |  |  |  | 0 | 32
 | 700 | Temporary Lighting for the 2nd Floor |  |  |  |  |  | 0 | 32
 | 800 | Fire Alarm Conduit Loop on the Second Floor |  |  |  |  |  | 0 | 24
 | 900 | Lighting/Switches for the Second Floor |  |  |  |  |  | 0 | 20
 | 1000 | Miscellaneous |  |  |  |  |  | 0 | 40
 |  |  |  |  |  |  |  | 0
Rental Tools Used:
Please Note Injuries, Incidents, Issues with Trades/Customers:
Materials Needed:
Tools Needed:
2 Week Look Ahead: Material, Labor, Specialized Tools, Rentals:
Notes:
Spreadsheet: 04df2fac-5b0e-464d-b0fe-6c7422b47c6b
Sheet: masked_enroll

DIST_OF_RES_IRN | Enrolled1 | Enrolled2 | Enrolled3 | ORG_NM
043489 | 214 | 209 | 369 | Akron City | 043489
043497 | 0 | 0 | <10 | Alliance City | 043497
043513 | 0 | 0 | 40 | Ashtabula Area City | 043513
043695 | 0 | 0 | <10 | Cambridge City | 043695
043711 | 54 | 42 | 128 | Canton City | 043711
043752 | 750 | 829 | 1969 | Cincinnati City | 043752
043794 | 25 | 18 | 0 | Cleveland Heights-University Heights City | 043794
043786 | 1814 | 686 | 3489 | Cleveland Municipal | 043786
043802 | 544 | 543 | 1825 | Columbus City School District | 043802
043844 | 349 | 343 | 1167 | Dayton City | 043844
043901 | 57 | 45 | 60 | East Cleveland City School District | 043901
043919 | <10 | 15 | 28 | East Liverpool City | 043919
043943 | 11 | <10 | 12 | Elyria City Schools | 043943
043950 | 163 | 147 | 340 | Euclid City | 043950
044040 | 22 | <10 | 0 | [NAME] | 044040
044057 | 0 | 0 | <10 | Geneva Area City | 044057
046979 | 0 | 0 | 31 | [NAME] | 046979
048686 | 17 | 12 | 53 | Jefferson Township Local | 048686
050195 | 0 | 0 | 101 | Liberty Local | 050195
044222 | 23 | 29 | 172 | Lima City | 044222
044263 | 113 | 142 | 215 | Lorain City | 044263
044297 | <10 | 11 | 299 | Mansfield City | 044297
044305 | <10 | 45 | 66 | Maple Heights City | 044305
044339 | <10 | 22 | 46 | Marion City | 044339
044404 | 29 | 81 | 88 | Middletown City | 044404
044412 | 15 | <10 | 74 | Mt Healthy City | 044412
044628 | <10 | 0 | 0 | Painesville City Local | 044628
044669 | 0 | 0 | 76 | Portsmouth City | 044669
049288 | 0 | 0 | <10 | Preble Shawnee Local | 049288
044677 | 0 | 0 | <10 | Princeton City | 044677
044743 | <10 | <10 | 42 | Sandusky City | 044743
049130 | 0 | 0 | <10 | Scioto Valley Local | 049130
044800 | 0 | 19 | 40 | South-Western City | 044800
044818 | 117 | 125 | 367 | Springfield City | 044818
044909 | 355 | 443 | 1068 | Toledo City | 044909
048694 | 0 | <10 | 18 | Trotwood-Madison City | 048694
044990 | 53 | 41 | 56 | Warren City | 044990
045005 | 26 | 59 | 92 | Warrensville Heights City | 045005
045070 | 18 | 17 | <10 | Whitehall City | 045070
045161 | 162 | 182 | 471 | Youngstown City Schools | 045161
045179 | 11 | 30 | <10 | Zanesville City | 045179
Spreadsheet: 881837d1730055520-worksheet-with-month-drop-down-sheet-changes-based-on-month-help-bills-jot
Sheet: August

Monthly Bills Jot
From [NAME] | mortgage | 397.5
 | bills | 268.3
 | pot | 500
 | receipts | 207.86
 | owed | 0
Back to jack | credit | 0
Mine | To Bills | 922.45
 | Credit Card ex
 | Receipts | 0
 | To Pot | 0
 | Pay credits
 | Santander
£50 in pot | + | 0
minus |  | 0
 |  | 0