tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 888529d1739035481-formula-needed-that-only-counts-data-for-certain-months-example
Sheet: February

 | Note: Rep names must be entered in exactly as they are shown in the survey report. Enter the supervisor name in the green boxes.
 | Claim Rep | Number of Promoters | Number of Detractors | Total Survey Count | Overall Score
 | [NAME]
 | [NAME]
 | [NAME]
 | [NAME]
 | [NAME]
 | [NAME]
 |  |  |  | Team Score
 | Raymi [NAME]
 | [NAME]
 | Ricardo Herrera
 | [NAME]
 | [NAME]
 | [NAME]
 |  |  |  | Team Score
 | [NAME]
 | [NAME]
 | [NAME]
 | [NAME]
 | [NAME]
 | [NAME]
 |  |  |  | Team Score
 | [NAME]
 | [NAME]
 | Alexis Jaimes
 | [NAME]
 | Alexis Jaimes
 |  |  |  | Team Score
 | Sup 5
 |  |  |  | Team Score
 | Sup 6
 |  |  |  | DRG Score
 |  |  |  | Updated 11.15.24
Spreadsheet: 65655d1266347931-selective-data-to-get-a-printed-report-budget-to-actual-expenditure-2010-slots
Sheet: 13

 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Estimated Duty / Tax / Transport = |  | 0.45
 | Details |  |  |  |  | Quotation |  |  |  |  |  | Invoice |  |  |  |  |  |  |  | Local Duty, TAX & Local Transport
I / Q | # | Sequence # | Company | Discription |  | Quotation # | Quotation (Euro) | X rate | RSD | Date (processed) |  | Invoice # | Act invoice (Euro) | X rate | RSD | SHIP invoice | Difference % | Process (date) |  | Duty & Transport | Act invoice | Difference % | Paid (date) |  | Total cost (actual) | Special NOTES
 | 1 |  |  |  |  |  |  |  | 0 |  |  |  |  |  | 0 |  | 0 |  |  | 0 |  | 0 |  |  | 0
 | 2 |  |  |  |  |  |  |  | 0 |  |  |  |  |  | 0 |  | 0 |  |  | 0 |  | 0 |  |  | 0
 | 3 |  |  |  |  |  |  |  | 0 |  |  |  |  |  | 0 |  | 0 |  |  | 0 |  | 0 |  |  | 0
 | 4 |  |  |  |  |  |  |  | 0 |  |  |  |  |  | 0 |  | 0 |  |  | 0 |  | 0 |  |  | 0
 | 5 |  |  |  |  |  |  |  | 0 |  |  |  |  |  | 0 |  | 0 |  |  | 0 |  | 0 |  |  | 0
 | 6 |  |  |  |  |  |  |  | 0 |  |  |  |  |  | 0 |  | 0 |  |  | 0 |  | 0 |  |  | 0
 | 7 |  |  |  |  |  |  |  | 0 |  |  |  |  |  | 0 |  | 0 |  |  | 0 |  | 0 |  |  | 0
 | 8 |  |  |  |  |  |  |  | 0 |  |  |  |  |  | 0 |  | 0 |  |  | 0 |  | 0 |  |  | 0
 | 9 |  |  |  |  |  |  |  | 0 |  |  |  |  |  | 0 |  | 0 |  |  | 0 |  | 0 |  |  | 0
 | 10 |  |  |  |  |  |  |  | 0 |  |  |  |  |  | 0 |  | 0 |  |  | 0 |  | 0 |  |  | 0
 | 11 |  |  |  |  |  |  |  | 0 |  |  |  |  |  | 0 |  | 0 |  |  | 0 |  | 0 |  |  | 0
 | 12 |  |  |  |  |  |  |  | 0 |  |  |  |  |  | 0 |  | 0 |  |  | 0 |  | 0 |  |  | 0
 | 13 |  |  |  |  |  |  |  | 0 |  |  |  |  |  | 0 |  | 0 |  |  | 0 |  | 0 |  |  | 0
 | 14 |  |  |  |  |  |  |  | 0 |  |  |  |  |  | 0 |  | 0 |  |  | 0 |  | 0 |  |  | 0
 | 15 |  |  |  |  |  |  |  | 0 |  |  |  |  |  | 0 |  | 0 |  |  | 0 |  | 0 |  |  | 0
 | 16 |  |  |  |  |  |  |  | 0 |  |  |  |  |  | 0 |  | 0 |  |  | 0 |  | 0 |  |  | 0
 | 17 |  |  |  |  |  |  |  | 0 |  |  |  |  |  | 0 |  | 0 |  |  | 0 |  | 0 |  |  | 0
 | 18 |  |  |  |  |  |  |  | 0 |  |  |  |  |  | 0 |  | 0 |  |  | 0 |  | 0 |  |  | 0
 | 19 |  |  |  |  |  |  |  | 0 |  |  |  |  |  | 0 |  | 0 |  |  | 0 |  | 0 |  |  | 0
 | 20 |  |  |  |  |  |  |  | 0 |  |  |  |  |  | 0 |  | 0 |  |  | 0 |  | 0 |  |  | 0
 |  |  |  | Total = |  |  |  |  | 0 |  |  |  |  |  | 0 |  |  |  |  | 0 |  |  | Total spent = |  | 0
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Budget total = |  | 177600
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Remaining = |  | 177600
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | % = |  | 1
Spreadsheet: 494684d1482582248-dynamic-charts-ef2
Sheet: Data

Country Name | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 |  |  |  |  |  | Country Name | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Armenia | 4.40736089644515 | 8.94995335353394 | 3.40676682683803 | 8.18157554355635 | 7.6512336379763 | 2.55547090012938 | 5.79378791735188 | 2.98098807302369 | 3.72658602789371
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Bahrain | 3.25666666666709 | 3.5260031636372 | 2.7955128355041 | 1.96188468334621 | -0.364447750093561 | 2.75455359808898 | 3.30548492553609 | 2.65119549929705 | 1.83599369733479
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Barbados | 4.03422982885071 | 8.10810810810782 | 3.64386189258339 | 5.82421853311863 | 9.43220240177196 | 4.53334753888791 | 1.80400550374562 | 1.88717024578285 | -1.06121646850766
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Belgium | 1.82206364061768 | 4.48944420508402 | -0.0531456741253327 | 2.18929920422456 | 3.53208210722741 | 2.83966343445893 | 1.11393855643004 | 0.340000000000007 | 0.560593980466415
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Bhutan | 5.15611138758465 | 8.32716049382718 | 4.36112219119796 | 7.03638316073022 | 8.84898569946775 | 10.9196569446831 | 7.00666666666699 | 8.2065451461993 | 4.52170854328986
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Brazil | 3.63702793370311 | 5.6630985193257 | 4.88640844429616 | 5.03831694621168 | 6.63619865692984 | 5.40196474982358 | 6.20189961255349 | 6.33209234205231 | 9.02723977356148
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Cambodia | 7.66839343019863 | 24.9971788528387 | -0.661307602417437 | 3.99623007954201 | 5.47858730411902 | 2.93272461820122 | 2.9426001598505 | 3.85523855347905 | 1.22127006080708
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Bulgaria | 8.40248675339559 | 12.3487720851457 | 2.75317248671881 | 2.4389906050412 | 4.21990346601862 | 2.95456829831016 | 0.890093540913152 | -1.41812266154145 | -0.104872332816556
Spreadsheet: 544112d1508767610-help-populating-filtering-list-based-on-multi-drop-down-menus-mark-pr-filter-multiple-criteria
Sheet: Detailed View

 | EMPLOYEE SUMMARY
 | Employee: |  |  |  |  |  |  | Statistics for this year: |  |  |  |  |  |  |  |  |  |  |  |  |  | Legend:
 | [NAME] |  |  |  |  |  |  | Allowance | Annual leave entitlement:
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Annual leave |  |  |  |  |  |  |  | Unpaid leave |  |  |  |  |  |  |  | Bereavement
 |  |  |  |  |  |  |  |  | Total allowance / not taken: |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Annual leave (half day) |  |  |  |  |  |  |  | Unpaid leave (half day) |  |  |  |  |  |  |  | Maternity / Paternity leave
 |  |  |  |  |  |  |  | Taken | Annual leave: |  |  |  |  |  | Unpaid leave: |  |  |  |  |  |  |  |  |  | Sick leave |  |  |  |  |  |  |  | Training |  |  |  |  |  |  |  | Other leave
 | Year: |  |  |  |  |  |  |  | Sick leave: |  |  |  |  |  | Training: |  |  |  |  |  |  |  |  |  | Sick leave (half day) |  |  |  |  |  |  |  | Training (half day) |  |  |  |  |  |  |  | Start / Leave Date
 | 2017 |  |  |  |  |  |  |  | Bereavement: |  |  |  |  |  | Maternity:
 | Month / Weekday |  |  |  |  | Sun | Mon | Tue | Wed | Thu | Fri | Sat | Sun | Mon | Tue | Wed | Thu | Fri | Sat | Sun | Mon | Tue | Wed | Thu | Fri | Sat | Sun | Mon | Tue | Wed | Thu | Fri | Sat | Sun | Mon | Tue | Wed | Thu | Fri | Sat | Sun | Mon | Tue | Wed | Thu | Fri | Sat
 | 2016-01-01 00:00:00
 | 2016-02-01 00:00:00 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Total Leave
 | 2016-03-01 00:00:00
 | 2016-04-01 00:00:00
 | 2016-05-01 00:00:00
 | 2016-06-01 00:00:00
 | 2016-07-01 00:00:00
 | 2016-08-01 00:00:00 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Working Days
 | 2016-09-01 00:00:00
 | 2016-10-01 00:00:00
 | 2016-11-01 00:00:00
 | 2016-12-01 00:00:00
 | KEY STATISTICS
 |  | Annual Leave |  |  |  |  | Annual Leave (half day) |  |  |  |  | [NAME] |  |  |  |  | [NAME] (Half day) |  |  |  |  | [NAME] |  |  |  |  | [NAME] (half day) |  |  |  |  | Training |  |  |  |  | Training (half day) |  |  |  |  | Bereavement |  |  |  |  | Maternity / Paternity Leave |  |  |  |  | Other Leave
Spreadsheet: 44365c89-e4cf-4c6e-b5c6-6e611ff292cb
Sheet: Table 1.4

Monthly Statistical Bulletin
1.4 Long-term unemployment
Month | 2009–10 | 2010–11 | 2011–12 | 2012–13 | 2013–14
Long-term unemployed (a) (b) – '000
July | 100.0876546 | 111.0736262 | 112.6581691 | 112.4367374 | 137.4999661
August | 98.4009516 | 107.1663022 | 126.3588247 | 120.3631941 | 134.2007378
September | 98.4428606 | 116.6867734 | 110.8594863 | 121.917676 | 132.5945396
October | 100.3122924 | 127.8353114 | 114.4524535 | 117.8334413 | 145.4793065
November | 106.8274272 | 115.8285091 | 109.0679612 | 129.8357129 | 145.1264265
December | 112.9730298 | 110.273478 | 107.7738127 | 117.7488868 | 151.7859773
January | 107.9015759 | 107.0050488 | 125.5991521 | 118.9162349 | 147.770936
February | 109.1666596 | 112.2445155 | 114.15594 | 117.1864206
March | 106.6714669 | 116.9713971 | 116.1333809 | 121.2705941
April | 114.0644773 | 112.5200245 | 120.3069507 | 117.1554937
May | 111.5791293 | 119.8594018 | 112.5272978 | 127.7262826
June | 112.7373509 | 113.1896057 | 114.4899798 | 136.4991738
Annual average | 106.7938189583333 | 113.919219425 | 115.2809436916667 | 121.5399985416667
Percentage of total unemployed (b) – per cent
July | 15.34072645917822 | 17.9441535222793 | 18.57805457518574 | 17.9408782706251 | 19.81992310797384
August | 14.98593948687421 | 18.30341337131408 | 20.33224437903178 | 19.66162520913451 | 19.08773632211513
September | 15.11490824828518 | 19.68184688064246 | 17.83310812672455 | 18.45764791729293 | 19.1949369506858
October | 15.58001451178012 | 20.72398694213255 | 18.73048702004478 | 18.22847236030868 | 20.67918362694741
November | 16.72938169041359 | 19.29240334638141 | 17.57747401584338 | 20.61509996103164 | 20.64180414676443
December | 17.85657111795847 | 19.29657143071508 | 17.59288640354666 | 18.11581003288768 | 21.3176807452323
January | 17.73003090378453 | 18.05249762338399 | 20.81330563483014 | 18.12338456952137 | 20.28125523485912
February | 17.83827732997524 | 19.13345224911461 | 18.43723618595349 | 17.86940305954403
March | 17.09332091123591 | 20.21011445319346 | 18.82026934023008 | 17.81968140451878
April | 17.9882997947778 | 19.30947161664841 | 20.19903739034956 | 17.21932158106039
May | 18.59798046547795 | 20.4437467065795 | 18.17150061218346 | 18.8971101627523
June | 18.85340182391657 | 19.42166192260251 | 18.44601561854917 | 19.59756702976609
Annual average | 17.00185190069184 | 19.28599124195199 | 18.7800546886211 | 18.52233725134591
(a) Unemployed for 52 weeks or more.
(b) Monthly figures are seasonally adjusted. |  |  |  |  |  |  |  | Update
Source: ABS, Labour force, Cat. no. 6291.0.55.001 |  |  |  |  |  |  |  | 2014-03-20 00:00:00
Spreadsheet: 728566d1618510863-two-dimensional-lookup-with-interpolation-excel_001_two-dim-lookup-followup
Sheet: 2 dimensional lookup 

TABLE 1
 |  | Qty |  |  |  |  |  | Input
 | Group | 1 | 2 | 3 | 4 | 5 |  |  | Group | D
 | A | 2.8 | 2.52 | 2.27 | 2.04 | 1.84 |  |  | Qty | 2
 | B | 3.5 | 3.15 | 2.84 | 2.55 | 2.3 |  |  |  |  |  |  | WORKS FINE Thanks!!
 | C | 5.95 | 5.37 | 4.82 | 4.34 | 3.9
 | D | 8.4 | 7.56 | 6.8 | 6.12 | 5.51
 | E | 12.25 | 11.03 | 9.92 | 8.93 | 8.04
 | F | 14.7 | 13.23 | 11.91 | 10.72 | 9.64
TABLE 2
 |  | Qty |  |  |  |  |  | Input
 | Group | 0.1 | 0.2 | 0.3 | 0.4 | 0.5 |  |  | Group | D
 | A | 0.8 | 0.8 | 0.8 | 0.8 | 0.8 |  |  | Qty | 0.08 |  | <== | try with: 0.08, 0.22, 0.4,0.61
 | B | 1 | 1 | 1 | 1 | 1 |  |  |  |  |  |  | Doesn't work :(
 | C | 1.2 | 1.2 | 1.1 | 1 | 1
 | D | 1.6 | 1.4 | 1.2 | 1.1 | 1
 | E | 2.5 | 1.7 | 1.2 | 0.9 | 0.9
 | F | 2.94 | 2.65 | 2.38 | 2.14 | 1.93
Spreadsheet: 812652d1673299875-need-help-on-a-count-formula-sample-for-question
Sheet: Sheet1

Bus Unit | 2022-09-03 00:00:00 |  | 2022-09-10 00:00:00 |  | 2022-09-17 00:00:00 |  | 2022-09-24 00:00:00
 | Count | Paid | Count | Paid | Count | Paid | Count | Paid
FB601 |  |  | 49 | 2455.3 |  |  | 31 | 3176.3 |  | COUNTIFS('[Scanning Incentives 9_3_2022_12_31_22 _ Dashboard Build.xlsx]Detail'!$F$2:$F$22126,"="&$D$3,'[Scanning Incentives 9_3_2022_12_31_22 _ [NAME])
FB602 |  |  | 23 | 2840 |  |  | 24 | 2864
FB604 |  |  | 65 | 7142.300000000001 |  |  | 46 | 6981.8 |  | This is the formula I used to get the count but I am sure I need a sumproduct formula somewhere.
FB605 |  |  | 33 | 1753.6 |  |  | 33 | 2048
FB606 |  |  | 28 | 3092 |  |  | 28 | 2912
FB607 |  |  | 44 | 1826.8 |  |  | 38 | 2412.5
FB608 |  |  | 57 | 5330.800000000001 |  |  | 51 | 7083.000000000002
[NAME] |  |  | 35 | 2684.39 |  |  | 31 | 2886
[NAME] |  |  | 10 | 1068.54 |  |  | 8 | 1095.76
FB615 |  |  | 36 | 1766.2 |  |  | 29 | 2259
FB616 |  |  | 43 | 4216 |  |  | 44 | 4146
FB619 |  |  | 14 | 912 |  |  | 13 | 1004
 | Need the total unique values by date and bus unit
 | Problem is some of the ID numbers in the data duplicate but I need to know the number of unique id numbers not total number for the date. So for 9/10 for FB601 I know there are only 31 but the count formula gives 49.
Spreadsheet: lynn_blair__24318__Nov01pnr
Sheet: PNM 500617

 | [NAME]
 | INVOICE DETAIL - NOVEMBER, 2001
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Maximum Inventory Calculation
DAY | NAME | CONTRACT NUMBER | MONTH | POI # | type_poi | SCHEDULED INJECTION | SCHEDULED WITHDRAWAL | NET SCHEDULED QTY | Carryover GIP | NET GIP | DAILY INJECTION   PRICE                (Inj + MIC) | DAILY WITHDRAWAL  PRICE               (Wd + MIC) | INJECTION AMOUNT       (Inj + MIC) | WITHDRAWAL  AMOUNT          (Wd + MIC) | Positive Inventory | Negative Inventory | Positive Inventory Components | Negative Inventory Components | [NAME] | Ride Amount
 | PNM | 27267 | 2001-11-01 00:00:00 | 500617 | PnR |  |  |  | 10000
1 |  |  |  |  |  |  |  |  |  |  | 0.3883 | 0.1
2 |  |  |  |  |  |  |  |  |  |  | 0.3883 | 0.1
3 |  |  |  |  |  |  |  |  |  |  | 0.3883 | 0.1
4 |  |  |  |  |  |  |  |  |  |  | 0.3883 | 0.1
5 |  |  |  |  |  |  |  |  |  |  | 0.3883 | 0.1
6 |  |  |  |  |  |  |  |  |  |  | 0.3883 | 0.1
7 |  |  |  |  |  |  |  |  |  |  | 0.3883 | 0.1
8 |  |  |  |  |  |  |  |  |  |  | 0.3883 | 0.1
9 |  |  |  |  |  |  |  |  |  |  | 0.3883 | 0.1
10 |  |  |  |  |  |  |  |  |  |  | 0.3883 | 0.1
11 |  |  |  |  |  |  |  |  |  |  | 0.3883 | 0.1
12 |  |  |  |  |  |  |  |  |  |  | 0.3883 | 0.1
13 |  |  |  |  |  |  |  |  |  |  | 0.3883 | 0.1
14 |  |  |  |  |  |  |  |  |  |  | 0.3883 | 0.1
15 |  |  |  |  |  |  |  |  |  |  | 0.3883 | 0.1
16 |  |  |  |  |  |  |  |  |  |  | 0.3883 | 0.1
17 |  |  |  |  |  |  |  |  |  |  | 0.3883 | 0.1
18 |  |  |  |  |  |  |  |  |  |  | 0.3883 | 0.1
19 |  |  |  |  |  |  |  |  |  |  | 0.3883 | 0.1
20 |  |  |  |  |  |  |  |  |  |  | 0.3883 | 0.1
21 |  |  |  |  |  |  |  |  |  |  | 0.3883 | 0.1
22 |  |  |  |  |  |  |  |  |  |  | 0.3883 | 0.1
23 |  |  |  |  |  |  |  |  |  |  | 0.3883 | 0.1
24 |  |  |  |  |  |  |  |  |  |  | 0.3883 | 0.1
25 |  |  |  |  |  |  |  |  |  |  | 0.3883 | 0.1
26 |  |  |  |  |  |  |  |  |  |  | 0.3883 | 0.1
27 |  |  |  |  |  |  |  |  |  |  | 0.3883 | 0.1
28 | Note: |  |  |  |  |  |  |  |  |  | 0.3883 | 0.1
29 | Balance left on TW discovered during imbalance review. |  |  |  |  |  |  | -10000 |  |  | 0.3883 | 0.1
30 | Decision was made to notify PNM and waive PNR charges. |  |  |  |  |  |  |  |  |  | 0.3883 | 0.1
31
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Absolute [NAME]
 |  |  |  | Total Injection |  |  |  |  |  |  | Total Invoice Amount |  |  |  |  |  |  |  |  | No Charge
 |  |  |  | Total W/D
 |  |  |  |  |  |  |  |  |  |  |  |  | Inj Charge
 |  |  |  |  |  |  |  |  |  |  |  |  | Wd Charge
 |  |  |  |  |  |  |  |  |  |  |  |  | MIC Charge
 |  |  |  |  |  |  |  |  |  |  |  |  | Total Charge
 |  |  |  |  |  |  |  |  |  |  |  |  | BILL AMOUNT
Spreadsheet: acc39e1d-2806-4f65-bb20-c84d1af89679
Sheet: 23

 |  | Transactions
Product Type |  | Cleared** | Uncleared
Total Metals* | Exotic
 | Option
 | Spot/Forward
 | Swap
Total Energy | Exotic
 | Option
 | Spot/Forward
 | Swap
Total Agricultural | Exotic
 | Option
 | Spot/Forward
 | Swap
Total Index | Exotic
 | Option
 | Spot/Forward
 | Swap
Total Other*** | Exotic
 | Option
 | Spot/Forward
 | Swap
TOTAL |  | N/A**** | N/A
Estimated swap transaction volumes, week ending July 26, by product type, participant type, and cleared status (in number of transactions), all tenors, currencies, and deliveries. Data are adjusted for double-counting of cleared trades to show a single exposure for each trade.
Total(s) may be less than total shown for this asset class in the All Swaps reports and/or other CFTC Swaps Report tables if products were excluded from this table that (a) presented disclosure risk or (b) did not belong in the categories shown. See Explanatory Notes for more detail.
*See Data Dictionary for product descriptions.
**See Explanatory Notes for cleared and uncleared descriptions.
***Environment, Freight, Multi-Commodity Exotic
****N/A indicates that data are not currently available.
The Commission requests feedback on the format and content of this CFTC Swaps Report table. Submit comments to [EMAIL].
Spreadsheet: 197217d1354254439-conditional-formatting-formula-if-cell-does-not-contain-or-cf-search
Sheet: Sheet2

[NAME]
data | data | data | data | data | data | data | data | data | data | data | [EMAIL]
data | data | data | data | data | data | data | data | data | data | data | [EMAIL]
data | data | data | data | data | data | data | data | data | data | data
data | data | data | data | data | data | data | data | data | data | data | [EMAIL]
data | data | data | data | data | data | data | data | data | data | data | test
data | data | data | data | data | data | data | data | data | data | data | test
data | data | data | data | data | data | data | data | data | data | data
data | data | data | data | data | data | data | data | data | data | data | [EMAIL]
data | data | data | data | data | data | data | data | data | data | data | test
data | data | data | data | data | data | data | data | data | data | data | test
data | data | data | data | data | data | data | data | data | data | data | [EMAIL]
Spreadsheet: 43273d1241869134-adding-two-graphs-together-682882
Sheet: Sheet1

 | Empirical | Theoretical log(n) | [NAME] | Min.
256 | 3.442 |  | 6 | 1
1024 | 4.4268 |  | 8 | 1
4096 | 5.4448 |  | 9 | 2
16384 | 6.4316 |  | 10 | 2
65536 | 7.2596 |  | 11 | 3
Spreadsheet: 170763d1343397300-vlookup-help-query4-2-
Sheet: Sheet1

 | RM_Code
MCC_Code | R05 | R10 | R12 | R13 | R14 | MCC Description
5621
5655
5712
5968
5999
6010
6012
6211
6300
7399
7941
7997
8675
8999
0742
4722
5065
5192
5211
5271
5411
5499
5511
5611
5651
5691
5712
5714
5732
5812
5940
5941
5944
5968
5999
6300
7011
7299
8021
8071
8999
0742
1520
1799
3716
4722
5045
5065
5072
5074
5211
5251
5261
5411
5499
5511
5521
5532
5533
5571
5599
5611
5621
5691
5712
5713
5714
5719
5722
5732
5733
5812
5813
5933
5941
5942
5944
5946
5947
5948
5949
5964
5970
5971
5977
5983
5995
5999
6012
6300
7011
7033
7230
7299
7399
7531
7538
7629
7922
7941
7991
7997
8062
8220
8351
8699
8911
8999
0742
4111
4121
4131
4214
4722
4816
5211
5251
5511
5521
5533
5599
5621
5699
5712
5719
5812
5813
5943
5944
5947
5968
5999
6051
6300
7011
7230
7299
7399
7538
7922
7997
8220
0742
4722
5065
5211
5251
5261
5441
5499
5511
5533
5571
5621
5655
5691
5712
5713
5722
5812
5813
5814
5921
5932
5940
5941
5942
5944
5945
5968
5971
5992
5995
5999
6300
7011
7230
7298
7299
7399
7512
7538
7623
7922
7933
7991
7997
8062
8111
8220
8911
8999
9399
Spreadsheet: 118047d1313401513-percentage-test
Sheet: Corp

Business Area | Month | Anual Ref Value | Savings
Corp | 2011-01-01 00:00:00 | 0 | 0
Corp | 2011-01-01 00:00:00 | 58004.6403712297 | 0
Corp | 2011-01-01 00:00:00 | 765366.2645011601 | 32957.91183294661
Corp | 2011-01-01 00:00:00 | 0 | 0
Corp | 2011-01-01 00:00:00 | 0 | 0
Spreadsheet: 49772d1249103155-a-problem-with-one-of-the-built-in-formulas-in-excel-anova-with-replication
Sheet: Data 

 |  |  | Machine
 |  | A | B | C
 | 1 | 66 | 74 | 67
Operator | 2 | 58 | 67 | 68
 | 3 | 65 | 71 | 65
 | 4 | 60 | 64 | 66
Spreadsheet: 771789d1646848308-displaying-info-from-multiple-sheets-on-one-cover-sheet-example-1-
Sheet: Summary

Summary |  |  | Week Commencing | 2012-03-05 00:00:00
[NAME] | Date Booked | Job Number | Booked Through | Confirmation Number | Cost
Spreadsheet: 747764d1631693927-calculate-benchmarks-by-checking-given-cells-mockup
Sheet: BQ

Row Labels | Average of Impressions | Average of Reach | Average of Interactions | Average of Video View Count
facebook
photo
video
instagram
carousel
photo
video
linkedin
photo
video
twitter
photo
video
Tiktok
Video
[NAME]
Video
Spreadsheet: michelle_lokay__26740__imball0203
Sheet: PGETX

 |  |  |  |  | 12283
 | [NAME] |  | Pecos Del |  | Gunpoint #2 |  |  |  |  |  | [NAME] |  | Pecos Del |  |  |  | Imbalance
Day | Measured | Scheduled | Measured | Scheduled | Measured | Scheduled |  |  |  | Month | Measured | Scheduled | Measured | Scheduled | Imbalance | Index | Amount
1 | -57642 | -27902 | -1041 | -29999 |  |  |  |  |  | 2001-01-01 00:00:00 | -715680 | -355592 | 0 | -350072 |  | 8.26
2 | -123929 | -22209 | -22574 | -122705 |  |  |  |  |  | 2001-02-01 00:00:00 | -609189 | -341536 | -52379 | -306771 |  | 5.63
3 | -123002 | -22209 | -23111 | -122705 |  |  |  |  |  | 2001-03-01 00:00:00 | -1830618 | -794902 | -918 | -1033307 |  | 5.03
4 |  |  |  |  |  |  |  |  |  | 2001-04-01 00:00:00 | -3230259 | -1322613 |  | -2164184 |  | 4.99
5 |  |  |  |  |  |  |  |  |  | 2001-05-01 00:00:00 | -3482702 | -2020658 | -252797 | -1732396 |  | 4.01
6 |  |  |  |  |  |  |  |  |  | 2001-06-01 00:00:00 | -3938526 | -3382042 |  | -1643833 |  | 3.51
7 |  |  |  |  |  |  |  |  |  | 2001-07-01 00:00:00 | -3894744 | -2543771 | -671221 | -1981645 |  | 2.94
8 |  |  |  |  |  |  |  |  |  | 2001-08-01 00:00:00 | -4170940 | -3265860 | -1648101 | -2554228 |  | 2.85
9 |  |  |  |  |  |  |  |  |  | 2001-09-01 00:00:00 | -3023464 | -2576525 | -92729 | -544473 |  | 1.96
10 |  |  |  |  |  |  |  |  |  | 2001-10-01 00:00:00 | -2576641 | -1740603 | -37750 | -877765 |  | 2.15
11 |  |  |  |  |  |  |  |  |  | 2001-11-01 00:00:00 | -2598109 | -1780898 | -233298 | -1038459 |  | 2.07
12 |  |  |  |  |  |  |  |  |  | 2001-12-01 00:00:00 | -1166081 | -133483 |  | -1006789 |  | 2.26
13 |  |  |  |  |  |  |  |  |  | 2002-01-01 00:00:00
14
15
16
17
18 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | -591014.35
19
20
21
22
23
24
25
26
27
28
29
30
31
 |  |  |  | 2002-02-28 00:00:00 |  |  | 35630
 |  |  |  | 2002-03-03 00:00:00
 | CBS Volume
 |  |  |  | 44686
 |  |  |  |  |  |  | 179468
 |  |  |  |  |  |  | 82546
Spreadsheet: 198041d1354642101-chart-needs-to-auto-populate-items-from-master-referance-chart-based-on-job-description-training
Sheet: referance

 |  |  | First Aid | Fall Pro | Procedural Fall Pro | Safety Orient | WHMIS | Trailers | Ladder Loader | Fork Lift | [NAME] | Front End Loader | Principles | Leadership | Driver's License Class | Drivers License Expiry | Drivers Abstract | Other | Load Securement | Railings
 |  | Estimator/Scoper |  |  | y |  |  |  | n
Spreadsheet: 835105d1688306892-auto-fill-empty-cells-by-dates-auto-fill-
Sheet: Sheet1

Date_1 | Date_2 |  | Result
2013-07-15 00:00:00 | 2013-07-18 00:00:00 |  | 2013-07-15 00:00:00
2013-07-16 00:00:00 | 2013-07-19 00:00:00 |  | 2013-07-16 00:00:00
2013-07-17 00:00:00 | 2013-07-22 00:00:00 |  | 2013-07-17 00:00:00
 | 2013-07-26 00:00:00 |  | 2013-07-18 00:00:00
 | 2013-07-29 00:00:00 |  | 2013-07-19 00:00:00
 | 2013-07-30 00:00:00 |  | 2013-07-22 00:00:00
2013-07-23 00:00:00 | 2013-08-16 00:00:00 |  | 2013-07-23 00:00:00
2013-07-24 00:00:00 | 2013-08-19 00:00:00 |  | 2013-07-24 00:00:00
2013-07-25 00:00:00 | 2013-08-23 00:00:00 |  | 2013-07-25 00:00:00
 | 2013-08-26 00:00:00 |  | 2013-07-26 00:00:00
 | 2013-08-27 00:00:00 |  | 2013-07-29 00:00:00
 |  |  | 2013-07-30 00:00:00
2013-07-31 00:00:00 |  |  | 2013-07-31 00:00:00
2013-08-13 00:00:00 |  |  | 2013-08-13 00:00:00
2013-08-14 00:00:00 |  |  | 2013-08-14 00:00:00
2013-08-15 00:00:00 |  |  | 2013-08-15 00:00:00
 |  |  | 2013-08-16 00:00:00
 |  |  | 2013-08-19 00:00:00
2013-08-20 00:00:00 |  |  | 2013-08-20 00:00:00
2013-08-21 00:00:00 |  |  | 2013-08-21 00:00:00
2013-08-22 00:00:00 |  |  | 2013-08-22 00:00:00
 |  |  | 2013-08-23 00:00:00
 |  |  | 2013-08-26 00:00:00
 |  |  | 2013-08-27 00:00:00
2013-08-28 00:00:00 |  |  | 2013-08-28 00:00:00
2013-08-29 00:00:00 |  |  | 2013-08-29 00:00:00
2013-08-30 00:00:00 |  |  | 2013-08-30 00:00:00