tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 473533d1470254110-mileage-reimbursement-form-formulas-not-working-mileage-reimbursement
Sheet: Ref-Minutes

Mileage Minutes | Amityville | Bay Shore 180 | Bay Shore 375 | Hauppauge (LIVM / MCM) | Brentwood | Hauppauge | Huntington | Port Jefferson | Sayville | West Islip | Deer Park | Garden City | Hempstead | Holbrook | Riverhead | Smithtown | Southampton | Southold | [NAME] (NSEYE) | Little Neck | Other (Please explain thoroughly in the next column)
Amityville |  | 18 | 16 | 23 | 22 | 21 | 30 | 41 | 29 | 15 | 18.0 | 25 | 24 | 30 | 49 | 32 | 64 | 76 | 37 | 28
Bay Shore 180 | 18 |  | 8 | 18 | 13 | 18 | 31 | 29 | 13 | 7 | 19.0 | 42 | 41 | 23 | 41 | 28 | 55 | 67 | 34 | 41
Bay Shore 375 | 16 | 8 |  | 16 | 13 | 18 | 31 | 28 | 18 | 9 | 18 | 42 | 40 | 22 | 39 | 29 | 53 | 65 | 36 | 42
Hauppauge (LIVM / Middle Country Management) | 23 | 18 | 16 |  | 9 | 4 | 23 | 25 | 20 | 13 | 17 | 34 | 36 | 14 | 35 | 16 | 57 | 64 | 23 | 32
Brentwood | 22 | 13 | 13 | 9 |  | 9 | 26 | 33 | 23 | 13 | 15 | 38 | 40 | 19 | 40 | 21 | 60 | 68 | 26 | 37
Hauppauge | 21 | 18 | 18 | 4 | 9 |  | 22 | 27 | 22 | 15 | 15 | 37 | 39 | 15 | 36 | 14 | 57 | 64 | 25 | 35
[NAME] (LIEYE) | 30 | 30 | 31 | 23 | 26 | 22 |  | 28 | 42 | 28 | 26 | 37 | 39 | 42 | 62 | 37 | 84 | 82 | 6 | 34
Port Jefferson | 41 | 29 | 28 | 25 | 33 | 27 | 28 |  | 26 | 35 | 38 | 60 | 60 | 22 | 34 | 25 | 57 | 55 | 45 | 60
Sayville | 29 | 13 | 18 | 20 | 23 | 22 | 42 | 26 |  | 20 | 27 | 50.0 | 47 | 17 | 36 | 31 | 49 | 60 | 40 | 51
West Islip | 15 | 7 | 9 | 13 | 13 | 15 | 28 | 35 | 20 |  | 14 | 43 | 43 | 30 | 47 | 27 | 58 | 70 | 31 | 44
Deer Park | 18 | 19 | 18 | 17 | 15 | 15 | 26 | 38 | 27 | 14 |  | 31 | 32 | 20 | 41 | 23 | 64 | 70 | 22 | 35
Garden City | 25 | 42 | 42 | 34 | 38 | 37 | 37 | 60 | 50 | 43 | 31 |  | 2 | 45 | 63 | 45 | 73 | 80 | 42 | 28
Hempstead | 24 | 41 | 40 | 36 | 40 | 39 | 39 | 60 | 47 | 43 | 32 | 2 |  | 43 | 65 | 41 | 80 | 90 | 39 | 25
Holbrook | 30 | 23 | 22 | 14 | 19 | 15 | 42 | 22 | 17 | 30 | 20 | 45 | 43 |  | 25 | 18 | 47 | 54 | 30 | 50
Riverhead | 49 | 41 | 39 | 35 | 40 | 36 | 62 | 34 | 36 | 47 | 41 | 63 | 65 | 25 |  | 39 | 34 | 31 | 53 | 65
Smithtown | 32 | 28 | 29 | 16 | 21 | 14 | 37 | 25 | 31 | 27 | 23 | 45 | 41 | 18 | 39 |  | 59 | 65 | 30 | 55
Southampton | 64 | 55 | 53 | 57 | 60 | 57 | 84 | 57 | 49 | 58 | 64 | 73 | 80 | 47 | 34 | 59 |  | 50 | 70 | 70
Southold | 76 | 67 | 65 | 64 | 68 | 64 | 82 | 55 | 60 | 70 | 70 | 80 | 90 | 54 | 31 | 65 | 50 |  | 75 | 75
[NAME] (NSEYE) | 37 | 34 | 36 | 23 | 26 | 25 | 6 | 45 | 40 | 31 | 22 | 42 | 39 | 30 | 53 | 30 | 70 | 75 |  | 45
Little Neck | 28 | 41 | 42 | 32 | 37 | 35 | 34 | 60 | 51 | 44 | 35 | 28 | 25 | 50 | 65 | 55 | 70 | 75 | 45
[NAME] | 23 | 45 | 78
Spreadsheet: 165958d1341408782-removing-extensive-duplicates-sorting
Sheet: Sheet1

 |  | North |  |  |  |  | South
 |  | Name | Quantity | Price |  |  | Name | Quantity | Price
 |  | Apple | 3 | 1 |  |  | Apple | 2 | 1
 |  | [NAME] | 5 | 2 |  |  | [NAME] | 5 | 2
 |  | Bean | 7 | 4 |  |  | Bean | 7 | 4
 |  | Orange | 2 | 3 |  |  | Orange | 6 | 3
 |  | PineApple | 1 | 6 |  |  | PineApple | 1 | 6
 |  | Apple | 4 | 1 |  |  | Apple | 2 | 1
 |  | Orange | 7 | 3 |  |  | Orange | 6 | 3
 |  | Middle
 |  | Name | Quantity | Price
 |  | Apple | 1 | 1
 |  | [NAME] | 5 | 2
 |  | Bean | 7 | 4
 |  | Orange | 5 | 3
 |  | PineApple | 1 | 6
 |  | Apple | 1 | 1
 |  | Orange | 5 | 3
Spreadsheet: 101572d1299680937-excel-2007-obtaining-data-from-a-different-tab-weaponx2011
Sheet: Depth

 | C | 1B | 2B | SS | 3B | OF-1 | OF-2 | OF-3 | SP1 | SP2 | SP3 | SP4 | SP5 | CP
[NAME]
Player | [NAME] | Kendry Morales
Amount | 472 | 494
Spreadsheet: 681798d1591754214-importing-data-from-several-sheets-indirect-vlookup
Sheet: PISU

 |  | Office Assigned | Account No. | [NAME]. |  | PLDT Bill
 |  |  |  |  |  | Invoice # | Basic Charges | Tolls |  | Amount | VAT | [NAME] | Cr. Adj. | Gross Amt. | 5%FVAT | 2%EWT | Net Amount
 |  |  |  |  |  |  |  | National calls | International calls
 | 1 | PISU | 504483 | 832-1508 |  | 114666022 | 1410.15 | 0 | 0 | 1410.15 | 151.09 |  |  | 1410.15 | 62.95 | 25.18 | 1322.02 |  | 0.05 | 0.02 |  | 0
 | 2 | PISU | 500623 | 832-3307 |  | 14666020 | 1720.75 | 0 | 0 | 1720.75 | 184.37 |  |  | 1720.75 | 76.82 | 30.73 | 1613.2 |  |  |  |  | 0
 | 3 | PISU | 504491 | 832-1560 |  | 14666025 | 1410.15 | 0 | 0 | 1410.15 | 151.09 |  |  | 1410.15 | 62.95 | 25.18 | 1322.02 |  |  |  |  | 0
 | 4 | PISU | 651271711 | BizDSL DFA-H01-062013-86024 |  | 114666029 | 4480 | 0 | 0 | 4480 | 480 |  |  | 4480 | 200 | 80 | 4200 |  |  |  |  | 0
 |  |  |  |  |  | TOTAL | 9021.05 | 0 | 0 | 9021.05 | 966.55 |  |  | 9021.05 | 402.72 | 161.09 | 8457.24
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | DV-PISU
Spreadsheet: 51fcb3d9-04d8-441a-af69-6172a9a97adb
Sheet: Pensions

 | This sheet shows the CAA's analysis of pension costs based on the study by GAD and IDS / Hymans.
 | [NAME] - pensions
 | January 2013 FBP Forecast |  |  |  | Q5 |  |  |  |  | Q5+1 | Q6 |  |  |  |  |  | Q6 Total | CAGR | per year
 | £m 2011/12 |  |  |  | 2008/09 | 2009/10 | 2010/11 | 2011/12 | 2012/13 | 2013/14 | 2014/15 | 2015/16 | 2016/17 | 2017/18 | 2018/19
 | DB costs |  |  |  | " | " | " | " | " | " | " | " | " | " | " |  | " | " | "
 | DC costs |  |  |  | " | " | " | " | " | " | " | " | " | " | " |  | " | " | "
 | Deficit costs |  |  |  | " | " | " | " | " | " | " | " | " | " | " |  | " | " | "
 | Pension Cost Total
 | DB Members (approx) |  |  |  | " | " | " | " | " | " | " | " | " | " | " |  |  | "
 | DC Members (approx) |  |  |  | " | " | " | " | " | " | " | " | " | " | " |  |  | "
 | Total Members (approx) |  |  |  | " | " | " | " | " | " | " | " | " | " | " |  |  | "
 | Pension Cost Index 2011/12 = 1
 | DB Membership rate |  |  |  | " | " | " | " | " | " | " | " | " | " | "
 | DB rates % |  |  |  | " | " | " | " | " | " | " | " | " | " | "
 | DC rates % |  |  |  | " | " | " | " | " | " | " | " | " | " | "
 | Total Blended Average % |  |  |  | " | " | " | " | " | " | " | " | " | " | "
 |  |  |  |  |  |  |  |  |  | DB Efficiency | -3 | 0 | 0 | 0 | 0 |  | -3 | na | -0.6
 | Benchmark DC rate % | 0.07 |  |  |  |  |  |  |  | DC Efficiency | -1.730404732610694 | -1.717676239343168 | -1.769897545221037 | -1.772655143579125 | -1.825791359021617 |  | -8.816425019775643 | na | -1.763285003955129
 |  |  |  |  |  |  |  |  |  | Deficit Efficiency | 0 | -1.6 | -1.6 | -1.6 | -1.6 |  | -6.4 | na | -1.28
 | Efficiency Included in the FBP |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 67 | na | 13.4
 | Example DB Efficiency | % of pensionable earnings
 | DB contribution rate of pensionable earnings | 0.4
 | Increasing retirement age to 65 | 0.33 |  |  |  |  |  |  | 0 | 0 | -5.545329348855708 | -5.012813662322264 | -4.522327930257541 | -4.149869379685441 | -3.97118013247378 |  | -23.20152045359474 | na | -4.640304090718947
 | Using career average earnings | 0.31 |  |  |  |  |  |  | 0 | 0 | -7.129709162814482 | -6.445046137271483 | -5.814421624616839 | -5.335546345309853 | -5.10580302746629 |  | -29.83052629747895 | na | -5.966105259495789
 | Changing accrual rate from 54th to 80ths | 0.26 |  |  |  |  |  |  | 0 | 0 | -11.09065869771142 | -10.02562732464453 | -9.044655860515082 | -8.299738759370882 | -7.942360264947561 |  | -46.40304090718947 | na | -9.280608181437895
 | All three measures | 0.15 |  |  |  |  |  |  | 0 | 0 | -19.80474767448467 | -17.90290593686522 | -16.15117117949121 | -14.82096207030514 | -14.18278618740636 |  | -82.8625730485526 | na | -16.57251460971052
 | End
Spreadsheet: 755611d1636992328-if-formula-to-ignore-result-if-both-index-functions-return-from-the-same-cell-example
Sheet: Sheet2

 | Score at: |  |  |  |  | Change?
 | 1 month | 6 months | 12 months
[NAME] | 4.666666666666667 | 0 | Insufficient data
Fred | 7.333333333333333 | Insufficient data | Insufficient data
[NAME] | 9 | Insufficient data | Insufficient data
Greg | 6 | 10 | Insufficient data
Sara | 3.666666666666667 | Insufficient data | Insufficient data
Lara | 5.333333333333333 | Insufficient data | 8
[NAME] | 8.333333333333334 | Insufficient data | 7
[NAME] to find value first cell containing data: |  |  |  |  | INDEX(B4:D4,MATCH(FALSE,B4:D4="data",0))
[NAME] to find value in last cell containing data: |  |  |  |  | INDEX(B4:D4,,COUNTIFS(B4:D4,"<>",B4:D4,"<>*data*"))
[NAME] to track change: |  |  |  |  | LET(First,[NAME]:D4,MATCH(FALSE,B4:D4="data",0)),Last,[NAME]:D4,,COUNTIFS(B4:D4,"<>",B4:D4,"<>*data*")),IFS(First>Last,"Gone down",First=Last,"No change",First<Last,"Gone up"))
Spreadsheet: 216781d1361886711-need-to-have-cells-filled-with-data-from-separate-worksheet-based-on-drop-down-list-pricing-test
Sheet: Pricing summary

Margin: | 50 | Pricing | Description
ALTVU1 | System 1 |  | Includes: Product 1, Product 2
 | Cost: | 8298
 | List Price:
ALTVU2 | System 2 |  | Includes: Product 2, product 3
 | Cost: | 11896
 | List Price:
ALTVU3 | System 3 |  | Includes: Product 3, product 4
 | Cost: | 15494
 | List Price:
ALTVU4 | System 4 |  | Includes: Product 4, product 5
 | Cost: | 19599
 | List Price:
ALTVU1
ALTVU2
ALTVU3
ALTVU4
Spreadsheet: 24274d1214433374-excel-2007-formula-required-to-automatically-update-table-book2-pfbreal
Sheet: SCORES

HOME | SCORE | AWAY | SCORE
CHARLTON | 1 | EVERTON | 2
DERBY | 2 | BLACKBURN | 1
LEEDS | 2 | SOUTHAMPTON | 0
LEICESTER | 0 | BOLTON | 5
LIVERPOOL | 2 | WEST HAM | 1
MBORO | 0 | ARSENAL | 4
SUNDERLAND | 1 | IPSWICH | 0
SPURS | 0 | ASTON VILLA | 0
CHELSEA | 1 | NEWCASTLE | 1
MAN UTD | 3 | FULHAM | 2
 |  |  |  | DIFF. |  | ADJ.HOME | ADJ.AWAY
2ND MATCH
EVERTON | 1 | SPURS | 1
ARSENAL | 1 | LEEDS | 2
BOLTON | 1 | MBORO | 0
IPSWICH | 3 | DERBY | 1
BLACKBURN | 2 | MAN UTD | 2
FULHAM | 2 | SUNDERLAND | 0
Spreadsheet: 46201d1245089619-conditional-formatting-example
Sheet: Sheet1

Lastname, Firstname | TD046 |  | 1 | 8 A/L | 1 A/L |  | 2 O/T
Regular Time |  |  | 8 | 0 | 7 | 8 | 8
[NAME].
Comp Earned | CE |  | 1
Scheduled O/T |  |  | 2 | 2
Worked O/T | O/T |  |  |  |  |  | 2
Annual Leave | Annual |  |  | 8 | 1
[NAME] | Sick
[NAME] | CT
Other
LWOP
Spreadsheet: kate_symes__19056__SP 15 pages
Sheet: DJ SP15

 |  |  | Firm | Volume | Firm | Volume | Sun & NERC | Volume
 | DATE |  | On [NAME] | [NAME] | [NAME] | [NAME] | 24 HOUR | [NAME]
 | 2001-04-09 00:00:00 |  | 157.87 | 22000 | 113.76 | 15928
 | 2001-04-08 00:00:00 |  |  |  |  |  | 113.77 | 45888
 | 2001-04-07 00:00:00 |  | 161.06 | 25232 | 100.79 | 16136
 | 2001-04-06 00:00:00 |  | 161.06 | 25232 | 100.79 | 16136
 | 2001-04-05 00:00:00 |  | 224.86 | 22592 | 122.93 | 16784
 | 2001-04-04 00:00:00 |  | 237.5 | 23824 | 129.77 | 12120
 | 2001-04-03 00:00:00 |  | 232.96 | 14960 | 120.77 | 12904
 | 2001-04-02 00:00:00 |  | 224.92 | 23056 | 133.39 | 11728
 | 2001-04-01 00:00:00 |  |  |  |  |  | 133.75 | 35784
 | 2001-03-31 00:00:00 |  | 169.38 | 25360 | 94.21 | 6472
 | 2001-03-30 00:00:00 |  | 169.38 | 25360 | 94.21 | 6472
 | 2001-03-29 00:00:00 |  | 163.49 | 34064 | 92.05 | 9080
 | 2001-03-28 00:00:00 |  | 131.03 | 22992 | 87.22 | 10736
 | 2001-03-27 00:00:00 |  | 120.72 | 26752 | 75.21 | 10280
 | 2001-03-26 00:00:00 |  | 281.51 | 17824 | 146.38 | 12680
 | 2001-03-25 00:00:00 |  |  |  |  |  | 146.56 | 32640
 | 2001-03-24 00:00:00 |  | 237.5 | 15296 | 143.54 | 10280
 | 2001-03-23 00:00:00 |  | 237.5 | 15296 | 143.54 | 10280
 | 2001-03-22 00:00:00 |  | 279.47 | 27312 | 173.78 | 5920
 | 2001-03-21 00:00:00 |  | 395 | 15200 | 222.02 | 8392
 | 2001-03-20 00:00:00 |  | 379.17 | 18400 | 211.59 | 9640
 | 2001-03-19 00:00:00 |  | 313.9 | 18736 | 207.5 | 11648
 | 2001-03-18 00:00:00 |  |  |  |  |  | 196.24 | 29832
 | 2001-03-17 00:00:00 |  | 205.5 | 18592 | 148.56 | 7024
 | 2001-03-16 00:00:00 |  | 205.98 | 17600 | 148.56 | 7024
 | 2001-03-15 00:00:00 |  | 184.07 | 20192 | 129.29 | 6440
 | 2001-03-14 00:00:00 |  | 169.24 | 16576 | 110.08 | 7280
 | 2001-03-13 00:00:00 |  | 170.67 | 19648 | 104.69 | 3840
 | 2001-03-12 00:00:00 |  | 183.93 | 23040 | 107.19 | 6880
 | 2001-03-11 00:00:00 |  |  |  |  |  | 107.67 | 17640
 | 2001-03-10 00:00:00 |  | 156.73 | 17840 | 98.45 | 6040
Spreadsheet: 047dbf44-ae04-4f53-9bfd-fa6d404c438c
Sheet: Sheet1

Table 3--Cash feed grain prices, 5/14/2013 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11
Mkt year and month 1/ | Corn, No. 2 yellow,  Central IL (dollars per bushel) |  |  | Corn, No. 2 yellow,  Gulf ports, LA  (dollars per bushel) |  |  | Sorghum, No. 2 yellow,  Plainview to [NAME], TX  (dollars per cwt) |  | Sorghum, No. 2 yellow,  Gulf ports, LA  (dollars per cwt)
 | 2010/11 | 2011/12 | 2012/13 | 2010/11 | 2011/12 | 2012/13 | 2010/11 | 2011/12 | 2010/11 | 2011/12 | 2012/13
Sep | 4.51 | 6.77 | 7.7 | 5.225 | 7.5 | 8.145 | 7.74 | 11.48 | 9.79 | 12.88 | 12.965
Oct | 5.19 | 6.23 | 7.48 | 5.985 | 6.975 | 8.155000000000001 | 8.54 | 10.73 | 10.395 | 12.08 | 13.2
Nov | 5.33 | 6.26 | 7.39 | 6.05 | 6.97 | 8.175 | 8.78 | 10.96 | 10.745 | 12.44 | 13.095
Dec | 5.65 | 5.96 | 7.23 | 6.36 | 6.57 | 7.845 | 9.62 | 10.5 | 11.1 | 11.82 | 13.14
Jan | 6.1 | 6.25 | 7.17 | 6.73 | 6.935 | 7.699999999999999 | 10.46 |  | 11.905 | 12.2 | 13.13
Feb | 6.69 | 6.41 | 7.15 | 7.435 | 7.1 | 7.695 | 11.42 |  | 12.625 | 12.09 | 13.115
Mar | 6.59 | 6.46 | 7.33 | 7.375 | 7.13 | 7.85 | 11.45 |  | 12.64 | 12.035 | 13.32
Apr | 7.33 | 6.34 | 6.57 | 8.11 | 6.96 | 7.11 | 12.78 |  | 13.675 | 11.94 | 12.175
May | 7.08 | 6.27 |  | 7.82 | 6.84 |  | 12.22
Jun | 7.17 | 6.3 |  | 7.89 | 6.785 |  | 12.21
Jul | 6.96 | 7.85 |  | 7.64 | 8.455 |  | 10.69 |  | 12.65
Aug | 7.3 | 8.15 |  | 7.88 | 8.435 |  | 11.47 |  | 13.71 | 13.47
Mkt year | 6.324999999999999 | 6.604166666666665 |  | 7.041666666666667 | 7.22125 |  | 10.615 | 10.9175 | 11.9235 | 12.32833333333333
 | Barley, No. 2 feed,  Minneapolis, MN  (dollars per bushel) |  |  | Barley, No. 3 malting,  Minneapolis, MN  (dollars per bushel) |  |  | Oats, No. 2 white heavy,  Minneapolis, MN  (dollars per bushel)
 | 2010/11 | 2011/12 | 2012/13 | 2010/11 | 2011/12 | 2012/13 | 2010/11 | 2011/12 | 2012/13
Jun | 2.2275 | 5.06 | 5.15 | 3.2 | 7.395 | 7.03 | 2.3875 | 3.675 | 3.365
Jul | 2.06 | 5.18 | 5.52 |  | 7.72 | 6.89 | 2.58 | 3.68 | 3.95
Aug | 2.5425 | 5.25 | 5.78 |  | 7.83 | 6.95 | 2.6875 | 3.69 | 3.985
Sep | 2.9925 | 5.14 | 5.58 |  | 7.76 | 6.99 | 3.135 | 3.72 | 3.885
Oct | 3.32 | 5.16 | 5.51 |  | 7.64 | 7.11 | 3.5625 | 3.51 | 3.98
Nov | 3.57 | 5.29 | 5.49 | 4.7 | 7.6 | 7.23 | 3.5375 | 3.36 | 3.85
Dec | 3.888 | 5.17 | 5.29 | 5.1595 | 7.32 | 7.22 | 3.88 | 3.3 | 3.94
Jan | 4.15 | 5.24 | 5.08 | 5.58 | 7.2 | 7.09 | 3.93 | 3.16 | 3.79
Feb | 4.62 | 5.26 | 5.16 | 5.91 | 7.07 | 7.04 | 4.075 | 3.455 | 4.07
Mar | 4.74 | 5.37 | 5.22 | 5.92 | 7.05 | 6.87 | 3.55 | 3.475 | 4.26
Apr | 5.05 | 5.18 | 5 | 6.2 | 7.03 | 6.37 | 3.83 | 3.55 | 4.125
May | 4.83 | 5.21 |  | 6.43 | 7 |  | 3.55 | 3.475
Mkt year | 3.665874999999999 | 5.209166666666667 |  | 5.3874375 | 7.384583333333333 |  | 3.392083333333332 | 3.504166666666666
1/ Corn and sorghum, September 1-August 31 marketing year; Barley and oats, June 1-May 31 marketing year. Simple average of monthly prices for the marketing year. Source: USDA, Agricultural Marketing Service, http://marketnews.usda.gov/portal/lg.
Data run: 5/13/2013
Spreadsheet: 813662d1673912376-update-formula-when-button-pressed-example
Sheet: Sheet1

Number | Account |  |  | Country |  | Name |  | Name 2 |  |  |  | Town | ZIP | Region | Search | Street | Phone
10 | 10001 |  |  | DE |  | Company 500 |  | Possible 1 |  |  |  | Town 1 | 1001 | 8 | A | Street 1 | 1112
10 | 10003 |  |  | DE |  | Company 501 |  | Possible 2 |  |  |  | Town 2 | 1002 | 6 | B | Street 2 | 1113
10 | 10004 |  |  | DE |  | Company 502 |  | Possible 3 |  |  |  | Town 3 | 1003 | 9 | C | Street 3 | 1114
10 | 10010 |  |  | DE |  | Company 503 |  | Possible 4 |  |  |  | Town 4 | 1004 | 5 | A | Street 4 | 1115
10 | 10011 |  |  | DE |  | Company 504 |  | Possible 5 |  |  |  | Town 5 | 1005 | 3 | B | Street 5 | 1116
10 | 10016 |  |  | DE |  | Company 505 |  | Possible 6 |  |  |  | Town 6 | 1006 | 8 | C | Street 6 | 1117
10 | 10017 |  |  | DE |  | Company 506 |  | Possible 7 |  |  |  | Town 7 | 1007 | 8 | A | Street 7 | 1118
10 | 10030 |  |  | DE |  | Company 3 |  | Possible 8 |  |  |  | Town 8 | 1008 | 8 | B | Street 8 | 1119
10 | 10031 |  |  | DE |  | Company 508 |  | Possible 9 |  |  |  | Town 9 | 1009 |  | C | Street 9 | 1120
10 | 10053 |  |  | DE |  | Company 509 |  | Possible 10 |  |  |  | Town 10 | 1010 | 9 | A | Street 10 | 1121
10 | 10055 |  |  | DE |  | Company 510 |  | Possible 11 |  |  |  | Town 11 | 1011 | 9 | B | Street 11 | 1122
10 | 10066 |  |  | DE |  | Company 511 |  | Possible 12 |  |  |  | Town 12 | 1012 | 9 | C | Street 12 | 1123
10 | 10068 |  |  | DE |  | Company 512 |  | Possible 13 |  |  |  | Town 13 | 1013 | 5 | A | Street 13 | 1124
10 | 10078 |  |  | DE |  | Company 513 |  | Possible 14 |  |  |  | Town 14 | 1014 | 5 | B | Street 14 | 1125
10 | 10091 |  |  | DE |  | Company 514 |  | Possible 15 |  |  |  | Town 15 | 1015 | 8 | C | Street 15 | 1126
10 | 10094 |  |  | DE |  | Company 515 |  | Possible 16 |  |  |  | Town 16 | 1016 | 3 | A | Street 16 | 1127
10 | 10096 |  |  | DE |  | Company 516 |  | Possible 17 |  |  |  | Town 17 | 1017 | 11 | B | Street 17 | 1128
10 | 10098 |  |  | DE |  | Company 517 |  | Possible 18 |  |  |  | Town 18 | 1018 |  | C | Street 18 | 1129
Spreadsheet: 599374d1542999323-bell-curve-performance-ratings-bellcurve
Sheet: Sheet1

 | RATINGS BY CRITERIA
# | Criteria 1 | [NAME] | Criteria 3 | [NAME] | Criteria 5 | Criteria 6 | Criteria 7 | Criteria 8 | Criteria 9 | Criteria 10 | Avg
Emp 1 | 2 | 5 | 1 | 5 | 4 | 1 | 4 | 4 | 6 | 4
Emp 2 | 3 | 6 | 5 | 6 | 2 | 5 | 2 | 2 | 5 | 2
Emp 3 | 5 | 3 | 6 | 8 | 3 | 6 | 3 | 3 | 6 | 3
Emp 4 | 6 | 5 | 8 | 7 | 5 | 8 | 5 | 5 | 3 | 5
Emp 5 | 8 | 6 | 7 | 5 | 6 | 7 | 6 | 6 | 2 | 6
Emp 6 | 9 | 8 | 3 | 6 | 8 | 2 | 8 | 8 | 3 | 8
Emp 7 | 1 | 7 | 5 | 9 | 9 | 3 | 9 | 9 | 5 | 9
Emp 8 | 2 | 5 | 6 | 10 | 1 | 5 | 6 | 1 | 6 | 6
Emp 9 | 3 | 6 | 8 | 5 | 5 | 6 | 6 | 2 | 8 | 1
Emp 10 | 5 | 9 | 9 | 5 | 6 | 8 | 9 | 5 | 9 | 2
Emp 11 | 6 | 10 | 1 | 6 | 8 | 9 | 10 | 6 | 1 | 1
Emp 12 | 8 | 5 | 5 | 8 | 7 | 1 | 5 | 8 | 4 | 5
Emp 13 | 7 | 5 | 6 | 7 | 6 | 4 | 6 | 7 | 2 | 6
Emp 14 | 5 | 8 | 8 | 5 | 1 | 2 | 8 | 5 | 3 | 8
Emp 15 | 6 | 7 | 7 | 6 | 5 | 3 | 9 | 6 | 5 | 7
Emp 16 | 9 | 8 | 5 | 9 | 6 | 5 | 1 | 9 | 6 | 1
Emp 17 | 10 | 9 | 6 | 10 | 8 | 6 | 6 | 10 | 8 | 5
Emp 18 | 2 | 6 | 9 | 10 | 7 | 8 | 5 | 3 | 9 | 6
Emp 19 | 5 | 3 | 10 | 2 | 8 | 9 | 5 | 2 | 1 | 8
Emp 20 | 2 | 6 | 5 | 3 | 6 | 1 | 2 | 3 | 1 | 7
Spreadsheet: 146297d1332065608-excel-2007-shift-data-up-if-there-is-any-empty-cell-book1
Sheet:  before Sheet1

 | first
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 | nineteenth
 | twentieth
 | twenty-first
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 | twenty-fourth
 | twenty-fifth
 | twenty-sixth
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 | twenty-eighth
 | twenty-ninth
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 | thirty-first
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 | thirty-fifth
 | thirty-sixth
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 | thirty-eighth
 | thirty-ninth
 | fortieth
 | forty-first
 | forty-second
 | forty-third
 | forty-fourth
 | forty-fifth
 | forty-sixth
 | forty-seventh
 | forty-eighth
 | forty-ninth
 | fiftieth
Spreadsheet: 889247d1739980905-simple-lookup-giving-me-problems-today-sample-mmh
Sheet: 2024

 |  | Detailed Trial Balance | Detailed Income Statement |  |  |  | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |  |  | Gross Profit
 |  | Month 1 |  | 2024
 |  |  |  |  |  |  | 2024-01-31 00:00:00 | 2024-01-28 00:00:00 | 2024-01-25 00:00:00 | 2024-01-22 00:00:00 | 2024-01-19 00:00:00 | 2024-01-16 00:00:00 | 2024-01-13 00:00:00 | 2024-01-10 00:00:00 | 2024-01-07 00:00:00 | 2024-01-04 00:00:00 | 2024-01-01 00:00:00 | 2023-12-29 00:00:00 | YTD |  |  |  | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | YTD
 |  |  |  |  | REVENUE: |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | REVENUE:
 |  |  |  |  | New |  | 9876 |  |  |  |  |  |  |  |  |  |  |  |  |  | New
 |  |  |  |  | Used |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Used
 |  |  |  |  | Service |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Service
 |  |  |  |  | Parts |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Parts
 |  |  |  |  | Rental |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Rental
 |  |  |  |  | Allied |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Allied
 |  |  |  |  | Labor Sublet |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Labor Sublet
 |  |  |  |  | Other Revenue |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Other Revenue
 |  |  |  |  | Total Revenue |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Total Revenue
Spreadsheet: 779669d1651975770-xlookup-not-returning-value-due-to-looking-up-dates-sample1
Sheet: Sheet1

 | Lookup Date: | 2022-02-23 00:00:00
 | Return Fields | Monday | Tuesday | Wednesday | Thursday | Friday | Saturday | Sunday
 | [NAME]
 |  | Monday | Tuesday | Wednesday | Thursday | Friday | Saturday | Sunday
 |  | 2022-02-21 00:00:00 | 2022-02-22 00:00:00 | 2022-02-23 00:00:00 | 2022-02-24 00:00:00 | 2022-02-25 00:00:00 | 2022-02-26 00:00:00 | 2022-02-27 00:00:00
 |  | 2022-02-28 00:00:00 | 2022-03-01 00:00:00 | 2022-03-02 00:00:00 | 2022-03-03 00:00:00 | 2022-03-04 00:00:00 | 2022-03-05 00:00:00 | 2022-03-06 00:00:00
 |  | 2022-03-07 00:00:00 | 2022-03-08 00:00:00 | 2022-03-09 00:00:00 | 2022-03-10 00:00:00 | 2022-03-11 00:00:00 | 2022-03-12 00:00:00 | 2022-03-13 00:00:00
 |  | 2022-03-14 00:00:00 | 2022-03-15 00:00:00 | 2022-03-16 00:00:00 | 2022-03-17 00:00:00 | 2022-03-18 00:00:00 | 2022-03-19 00:00:00 | 2022-03-20 00:00:00