tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 792950d1661244522-creating-a-results-list-of-multiple-races-results
Sheet: Sheet1

 |  | Plaats | place | Race 2 | Race 3 | Race 4 |  |  | Flag | Race average | Rank
 |  | 1 | 147 | 85 | 147 | 85
 |  | 2 | 200 | 7 | 114 | 63 |  |  | 3
 |  | 3 | 7 | 63 | 14 | 133 |  |  | 6
 |  | 4 | 220 | 250 | 19 | 222 |  |  | 7
 |  | 5 | 48 | 133 | 222 | 19 |  |  | 14
 |  | 6 | 14 | 222 | 7 | 1015 |  |  | 19
 |  | 7 | 87 | 113 | 250 | 200 |  |  | 47
 |  | 8 | 1015 | 19 | 85 | 220 |  |  | 48
 |  | 9 | 199 | 87 | 48 | 113 |  |  | 57
 |  | 10 | 63 | 220 | 113 | 87 |  |  | 63
 |  | 11 | 85 | 200 | 63 | 6 |  |  | 85
 |  | 12 | 145 | 2 | 2 | 145 |  |  | 87
 |  | 13 | 19 | 48 | 87 | 1013 |  |  | 113
 |  | 14 | 57 | 960 | 1015 | 960 |  |  | 114
 |  | 15 | 3 | 14 | 960 | 2 |  |  | 133
 |  | 16 | 2 | 147 | 1013 | 47 |  |  | 145
 |  | 17 | 960 | 199 | 145 | 599 |  |  | 147
 |  |  |  |  |  |  |  |  | 199
 |  |  |  |  |  |  |  |  | 200
 |  |  |  |  |  |  |  |  | 220
 |  |  |  |  |  |  |  |  | 222
 |  |  |  |  |  |  |  |  | 250
 |  |  |  |  |  |  |  |  | 599
 |  |  |  |  |  |  |  |  | 960
 |  |  |  |  |  |  |  |  | 1013
 |  |  |  |  |  |  |  |  | 1015
Spreadsheet: f0e22356-f21e-4326-b635-94aa42ff3708
Sheet: Sheet1

Bevölkerung des Freistaates Sachsen nach ausgewählten Altersgruppen | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4
Flöha, Stadt - Variante 1
Alter von ... bis                     unter ... Jahren | 2011 | 2015 | 2020 | 2025
1 000
unter 20 | 1557 | 1618 | 1573 | 1468
20 - 60 | 5979 | 5373 | 4611 | 3969
60 und mehr | 3965 | 4072 | 4247 | 4378
Insgesamt | 11501 | 11063 | 10431 | 9815
%
unter 20 | 13.537953221459 | 14.62532766880593 | 15.08004985140447 | 14.95669893020886
20 - 60 | 51.9867837579341 | 48.56729639338335 | 44.20477423065861 | 40.4381049414162
60 und mehr | 34.4752630206069 | 36.80737593781072 | 40.71517591793692 | 44.60519612837493
Insgesamt | 100 | 100 | 100 | 100
Abhängigkeitsquotient
Jugendquotient | 26.04114400401405 | 30.11353061604318 | 34.11407503795272 | 36.98664651045603
Altenquotient | 66.31543736410771 | 75.78633910292201 | 92.10583387551507 | 110.3048626858151
Gesamtquotient | 92.35658136812177 | 105.8998697189652 | 126.2199089134678 | 147.2915091962711
Gebietsstand: | 1. Januar 2012
Quelle: | 2011 Bevölkerungsfortschreibung auf Basis der [NAME] vom 03. Oktober 1990
 | 2012 - 2025 Bevölkerungsprognose
Bevölkerung jeweils am 31. Dezember
Prognoseergebnisse werden bei der Veröffentlichung immer auf volle [NAME] gerundet. [NAME] basieren [NAME] ungerundeten Werten. Beim [NAME] der [NAME] werden Ihnen die ungerundeten [NAME] zur Verfügung gestellt, damit [NAME] eigenen Berechnungen genauer durchführen können. Die Darstellung der Ergebnisse sollte dann aber wieder gerundet erfolgen.
Spreadsheet: 97777d1296856805-if-statement-maybe-order
Sheet: Sheet1

 | Incident | Truck | On Scene
 | 567 | E111 | 19:47:06
 | 567 | E115 | 19:49:54
 | 568 | M111 | 20:01:15
 | 568 | E111 | 20:02:20
 | 569 | E112 | 03:04:15
 | 569 | E114 | 03:04:16
Spreadsheet: 811722d1672761293-need-help-to-look-in-and-out-latest-entry-revised-example
Sheet: Data

Emp. Number | Emp. Name | Designation | Department | Date | Time | Status |  | Expected Results |  |  |  |  | IN |  |  |  | OUT
123 | ABC | SUPERVISOR | [NAME] | 2022-11-24 00:00:00 | 08:05:00 | I |  | On Time IN |  |  |  |  | Start | End | Description |  | Start | End | Description
123 | ABC | SUPERVISOR | [NAME] | 2022-11-24 00:00:00 | 20:08:00 | O |  | On Time Out |  |  |  |  | 07:00:00 |  | On Time IN |  | 12:00:00 | 16:00:00 | Early Out
234 | ABCDE | SUPERVISOR | Store | 2022-11-24 00:00:00 | 08:02:44 | I |  | On Time IN |  |  |  |  | 08:31:00 | 11:59:00 | Late Arrivals |  | 16:01:00 | 22:00:00 | On Time Out
234 | ABCDE | SUPERVISOR | Store | 2022-11-24 00:00:00 | 12:06:43 | O |  | Early Out
345 | AB | SUPERVISOR | QA | 2022-11-24 00:00:00 | 08:02:09 | I |  | Double Entry
345 | AB | SUPERVISOR | QA | 2022-11-24 00:00:00 | 08:22:02 | O |  | Double Entry
345 | AB | SUPERVISOR | QA | 2022-11-24 00:00:00 | 08:23:48 | I |  | On Time IN |  |  |  |  | I= | IN
345 | AB | SUPERVISOR | QA | 2022-11-24 00:00:00 | 19:03:24 | O |  | On Time Out |  |  |  |  | O= | OUT
567 | [NAME] | HELPER | Finishing | 2022-11-24 00:00:00 | 07:45:38 | I |  | Double Entry
567 | [NAME] | HELPER | Finishing | 2022-11-24 00:00:00 | 07:53:01 | O |  | Double Entry |  |  |  |  | [NAME] first check by Employee Number that have both IN and OUT in the same date. Then show that the employee is on time or not. IF there are more than one entries of this type then the last entry should be considered like I highligted with [NAME]. If IN or OUT is missing then formula show me that this employee in this date one entry is missing
567 | [NAME] | HELPER | Finishing | 2022-11-24 00:00:00 | 07:56:32 | I |  | On Time IN
567 | [NAME] | HELPER | Finishing | 2022-11-24 00:00:00 | 19:00:47 | O |  | On Time Out
648 | ADON | SAMPLE MAKER | Sample | 2022-11-25 00:00:00 | 09:51:21 | I |  | Late Arrivals
648 | ADON | SAMPLE MAKER | Sample | 2022-11-25 00:00:00 | 17:00:32 | O |  | On Time Out
714 | KHAMI | SUPERVISOR | [NAME] | 2022-11-25 00:00:00 | 08:06:37 | I |  | On Time IN
714 | KHAMI | SUPERVISOR | [NAME] | 2022-11-25 00:00:00 | 19:57:12 | O |  | On Time Out
567 | [NAME] | HELPER | Finishing | 2022-11-25 00:00:00 | 07:56:32 | I |  | On Time IN, Out Missing
Spreadsheet: 744407d1629224014-extract-fields-based-on-current-date-and-month-sample-workbook-with-expected-output-4-
Sheet: Expected Output

 | Expected Output |  |  |  |  |  |  | 2021-08-01 00:00:00 |  | 2021-09-01 00:00:00
 | Preparer | Backup | [NAME] | Activity Name | Frequency | Rotation Cycle Time Frame | Due Date
Spreadsheet: 53df8e15-4552-4ac8-8425-33af2a546c70
Sheet: Appx B. Application Types

[NAME]
Req # | Description of Requirement | Response | Comments
The system has the ability to track and maintain basic information and print for all of (and not limited to) the following application types:
Zoning
The system has the ability to track and maintain basic permit information for all of (and not limited to) the following permit types:
[NAME] | Conditional Use
AT.2 | Zone Changes
AT.3 | [NAME]
AT.4 | Appeal
AT.5 | Comp Plan Amendment
AT.6 | Plat Review
AT.7 | Land Use
AT.8 | Shoreland
AT.9 | Shoreland Mitigation Requirements
AT.10 | [NAME]
AT.11 | Minor Land Division Review
AT.12 | Building New Review
Land Conservation
The system has the ability to track and maintain basic permit information for all of (and not limited to) the following permit types:
AT.13 | Animal Waste Variance
AT.14 | Animal Waste CUP
Spreadsheet: 233800d1367933221-take-certain-data-from-invoice-xls-and-show-on-different-sheet-april-2013-wex-invoice-solution
Sheet: MKT

 | Group | MKT
 |  | Card Number | Vehicle Card Department | Customer Vehicle ID | Transaction Date | Transaction Time | Unit Cost | Fuel Cost | Net Cost (=)
 | 1
 | 2
 | 3
 | 4
 | 5
 | 6
 | 7
 | 8
 | 9
 | 10
 | 11
 | 12
 | 13
 | 14
 | 15
 | 16
 | 17
 | 18
 | 19
 | 20
 | 21
 | 22
 | 23
 | 24
 | 25
 | 26
 | 27
 | 28
 | 29
 | 30
 | 31
 | 32
 | 33
 | 34
 | 35
 | 36
 | 37
 | 38
 | 39
 | 40
 | 41
 | 42
 | 43
 | 44
 | 45
 | 46
 | 47
 | 48
 | 49
 | 50
 | 51
 | 52
 | 53
 | 54
 | 55
 | 56
 | 57
 | 58
 | 59
 | 60
 | 61
 | 62
 | 63
 | 64
 | 65
 | 66
 | 67
 | 68
 | 69
 | 70
 | 71
 | 72
 | 73
 | 74
 | 75
 | 76
 | 77
 | 78
 | 79
 | 80
 | 81
 | 82
 | 83
 | 84
 | 85
 | 86
 | 87
 | 88
 | 89
 | 90
 | 91
 | 92
 | 93
 | 94
 | 95
 | 96
 | 97
 | 98
 | 99
 | 100
Spreadsheet: 714717d1611335606-formulas-do-not-recognize-space-formula-does-not-reconize-space-to-extract-data
Sheet: Addresses 1.22.21 (4)

OWNER MAILING NAME | First Name | Last Name | Issues
DARREN & KRISTINE MARTIN
[NAME]
[NAME]
ANDREW ADELI |  |  | Has an extra leading space
[NAME]
[NAME] |  |  | Does not recognize the correct space
AMANDA DONAGI
BONET
ALBERT SEBILLE & ANDREA LAIRED
[NAME] |  |  | Does not recognize the correct space
JUAN TORRES |  |  | Does not recognize the correct space
ALEJANDRO ROA |  |  | Does not recognize the correct space
JAMES & LYNDA FOSTER |  |  | Does not recognize the correct space
[NAME] |  |  | Does not recognize the correct space
ENRIQUE ALFARO |  |  | Has an extra leading space
MARSHA ALLEN |  |  | Has an extra leading space
BUTCHER MILLETT
LORI CRIPE |  |  | Does not recognize the correct space
RAMON MARTINEZ |  |  | Does not recognize the correct space
Spreadsheet: 678984d1590148796-percentage-to-date-formula-tracker-example-etaf
Sheet: Sheet1

COMPLIANCE CHECK | FREQUENCY |  | 2019-09-01 00:00:00 | 2019-10-01 00:00:00 | 2019-11-01 00:00:00 | 2019-12-01 00:00:00 | 2020-01-01 00:00:00 | 2020-02-01 00:00:00 | 2020-03-01 00:00:00 | 2020-04-01 00:00:00 | 2020-05-01 00:00:00 | 2020-06-01 00:00:00 | 2020-07-01 00:00:00 | 2020-08-01 00:00:00 | TOTAL % TO DATE
Fire Panel Check (Input Y if check completed, leave blank if check did not take place) | Daily | M |  | N/A | N/A |  | N/A |  |  | N/A | N/A |  | N/A
 |  | T |  |  | N/A |  | N/A |  |  | N/A | N/A |  | N/A
 |  | W |  |  | N/A |  |  |  |  |  | N/A
 |  | T |  |  | N/A |  |  |  |  |  | N/A
 |  | F
 |  | M |  |  |  |  |  |  |  |  | Y | Y | Y | Y
 |  | T
 |  | W
 |  | T
 |  | F
 |  | M
 |  | T
 |  | W
 |  | T
 |  | F
 |  | M
 |  | T
 |  | W
 |  | T
 |  | F
 |  | M |  |  |  |  |  | N/A
 |  | T | N/A |  |  |  |  | N/A |  |  |  |  |  | N/A
 |  | W | N/A |  |  | N/A |  | N/A | N/A |  |  | N/A |  | N/A
 |  | T | N/A | N/A |  | N/A |  | N/A | N/A |  |  | N/A |  | N/A
 |  | F | N/A | N/A |  | N/A |  | N/A | N/A | N/A |  | N/A |  | N/A |  |  | new [NAME] |  | Sumif | Countif
 |  | %
Fire Alarm Test (Input Y if check completed, leave blank if check did not take place - if only 4 weeks in month, input N/A) | Weekly | Wk 1
 |  | Wk 2
 |  | Wk 3
 |  | Wk 4
 |  | Wk 5
 |  | %
Spreadsheet: 796794d1663540298-average-formula-using-table-references-instead-of-ranges-with-unconventional-data-table-test-hd
Sheet: Section 3

Name | Ref | Year | Sept | March |  |  | Year | Sept | March | Average
Name 1 | C | 2016-2017 | -1/1 | 0/7 |  | AVERAGE | 2016-2017
Name 2 | C | 2016-2017 | 0/10 | 1/8 |  | AVERAGE | 2017-2018
Name 3 | C | 2016-2017 | 2/10 |  |  | AVERAGE | 2018-2019
Name 4 | C | 2016-2017 | 1/8 | 2/5 |  | AVERAGE | 2019-2020
Name 5 | C | 2016-2017 | -1/2 | 0/2 |  | AVERAGE | 2020-2021
Name 6 | C | 2016-2017 | 1/2 | 2/9 |  | AVERAGE | 2021-2022
Name 7 | C | 2017-2018 | 0/9 | 0/10
Name 8 | C | 2017-2018 | -1/0 | 0/9
Name 9 | C | 2017-2018 | 1/1 | 3/7
Name 10 | C | 2017-2018 | 1/3 | 2/10
Name 11 | C | 2017-2018 |  | 1/9
Name 12 | C | 2017-2018 | 3/5 | 1/11
Name 13 | H | 2018-2019 | 2/1 | 3/6
Name 14 | H | 2018-2019 | 2/0 | 3/6
Name 15 | H | 2018-2019 | 0/11 | 1/10
Name 16 | H | 2018-2019 | 4/6 | 2/7
Name 17 | H | 2018-2019 | 0/10 | 1/9
Name 18 | H | 2018-2019 | -0/7 | 0/11
Name 19 | D | 2019-2020 | 5/2 | 7/10
Name 20 | D | 2019-2020 | 3/3 | 2/1
Name 21 | D | 2019-2020 | 2/2 | 2/7
Name 22 | D | 2019-2020 | 2/7 | 6/3
Name 23 | D | 2019-2020 | 5/5
Name 24 | D | 2019-2020 | 3/9 | 4/2
Name 25 | D | 2019-2020 | 0/11 | 2/11
Name 26 | G | 2019-2020 | -0/5 | 0/1
Name 27 | G | 2020-2021 | 1/2 | 3/9
Name 28 | G | 2020-2021 | 0/3 | 5/8
Name 29 | G | 2020-2021 | 3/7 | 5/2
Name 30 | G | 2020-2021 | 0/4 | 0/11
Name 31 | G | 2020-2021 | 2/6 | 4/9
Name 32 | G | 2020-2021 | 0/2 | 0/7
Name 33 | M | 2021-2022 | 1/8 | 1/2
Name 34 | M | 2021-2022 | 3/11 | 3/0
Name 35 | M | 2021-2022 |  | 8/1
Name 36 | M | 2021-2022 | 2/11 | 2/5
Name 37 | M | 2021-2022 | 3/0 | 3/11
Name 38 | M | 2021-2022 | -0/11 | -0/11
Name 39 | M | 2021-2022 | -1/3 | -1/8
Name 40 | M | 2021-2022 | -0/2 | 3/3
 |  | Average
Spreadsheet: 469989d1468274712-average-sales-per-month-and-year-from-table-w-o-pivot-testbook
Sheet: Sheet1

YEAR | MONTH | DAY | DATE | FOOD SALES | Promos | Comps | Void | GIFT CARDS | RETAIL | NET SALES | TAXES | Totals | Labor | MTD Sales | YTD Sales | Month Sales | Annual Sales
Spreadsheet: 179588d1347306599-two-dimensional-vlook-up-find-team-reporting-to-shift-sample_workbook_w_reporting_team-c
Sheet: ShiftRoster

 | Reporting Team
 | Shift | C |  | A |  | B |  | C
 | Shift Time |  |  |  |  |  |  | 22:01:00 | 23:59:00
 | 2012-09-01 00:00:00 | Team 3 | Team 3 | Team 4 | Team 4 | Team 2 | Team 2 | Team 3 | Team 3
 | 2012-09-02 00:00:00 | Team 3 | Team 3 | Team 4 | Team 4 | Team 2 | Team 2 | Team 3 | Team 3
 | 2012-09-03 00:00:00 | Team 5 | Team 5 | Team 1, Team 4 | Team 1, Team 4 | Team 2 | Team 2 | Team 5 | Team 5
 | 2012-09-04 00:00:00 | Team 5 | Team 5 | Team 1 | Team 1 | Team 2 | Team 2 | Team 5 | Team 5
 | 2012-09-05 00:00:00 | Team 5 | Team 5 | Team 1 | Team 1 | Team 2, Team 3 | Team 2, Team 3 | Team 5 | Team 5
 | 2012-09-06 00:00:00 | Team 5 | Team 5 | Team 1 | Team 1 | Team 3 | Team 3 | Team 5 | Team 5
 | 2012-09-07 00:00:00 | Team 5 | Team 5 | Team 1 | Team 1 | Team 3 | Team 3 | Team 5 | Team 5
Spreadsheet: 219285d1362698713-reduce-percentage-yearly-yearly-average
Sheet: Sheet1

Year Month | Year | Monthly | (Yearly Average) | Reduce 10% from [NAME] in Yearly average
2010-01-01 00:00:00 | 2010 | 6737.58865248227 | 7400.387995875934
2010-02-01 00:00:00 | 2010 | 4504.504504504504 | 7400.387995875934
2010-03-01 00:00:00 | 2010 | 6965.174129353234 | 7400.387995875934
2010-04-01 00:00:00 | 2010 | 6550.218340611354 | 7400.387995875934
2010-05-01 00:00:00 | 2010 | 6609.19540229885 | 7400.387995875934
2010-06-01 00:00:00 | 2010 | 5636.070853462158 | 7400.387995875934
2010-07-01 00:00:00 | 2010 | 5536.130536130536 | 7400.387995875934
2010-08-01 00:00:00 | 2010 | 5747.126436781609 | 7400.387995875934
2010-09-01 00:00:00 | 2010 | 5610.561056105611 | 7400.387995875934
2010-10-01 00:00:00 | 2010 | 10752.68817204301 | 7400.387995875934
2010-11-01 00:00:00 | 2010 | 11168.38487972509 | 7400.387995875934
2010-12-01 00:00:00 | 2010 | 12987.01298701299 | 7400.387995875934
2011-01-01 00:00:00 | 2011 | 15350.87719298246 | 19699.04727202049
2011-02-01 00:00:00 | 2011 | 18518.51851851852 | 19699.04727202049
2011-03-01 00:00:00 | 2011 | 12527.23311546841 | 19699.04727202049
2011-04-01 00:00:00 | 2011 | 14367.81609195402 | 19699.04727202049
2011-05-01 00:00:00 | 2011 | 13071.8954248366 | 19699.04727202049
2011-06-01 00:00:00 | 2011 | 18229.16666666667 | 19699.04727202049
2011-07-01 00:00:00 | 2011 | 18867.92452830189 | 19699.04727202049
2011-08-01 00:00:00 | 2011 | 23616.73414304993 | 19699.04727202049
2011-09-01 00:00:00 | 2011 | 27224.43559096946 | 19699.04727202049
2011-10-01 00:00:00 | 2011 | 27906.97674418605 | 19699.04727202049
2011-11-01 00:00:00 | 2011 | 15456.98924731183 | 19699.04727202049
2011-12-01 00:00:00 | 2011 | 31250 | 19699.04727202049
2012-01-01 00:00:00 | 2012 | 15337.42331288343 | 8295.803090594338
2012-02-01 00:00:00 | 2012 | 8375.209380234504 | 8295.803090594338
2012-03-01 00:00:00 | 2012 | 9157.509157509157 | 8295.803090594338
2012-04-01 00:00:00 | 2012 | 3623.188405797101 | 8295.803090594338
2012-05-01 00:00:00 | 2012 | 11217.94871794872 | 8295.803090594338
2012-06-01 00:00:00 | 2012 | 12910.79812206573 | 8295.803090594338
2012-07-01 00:00:00 | 2012 | 10040.16064257028 | 8295.803090594338
2012-08-01 00:00:00 | 2012 | 2777.777777777778 | 8295.803090594338
2012-09-01 00:00:00 | 2012 | 6024.096385542169 | 8295.803090594338
2012-10-01 00:00:00 | 2012 | 992.063492063492 | 8295.803090594338
2012-11-01 00:00:00 | 2012 | 5555.555555555556 | 8295.803090594338
2012-12-01 00:00:00 | 2012 | 13537.90613718412 | 8295.803090594338
Spreadsheet: 043d5d68-2fc8-44ab-9b6f-3f4fa3a2f490
Sheet: Sheet1

Unnamed: 0 | State of New Hampshire - General Election | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8
 | Belknap County Offices
2012-11-06 00:00:00 | Sheriff |  |  | Attorney |  |  | Treasurer
 | Wiggin, r&d |  | [NAME] | [NAME], r |  | [NAME] | Muzzey, r | [NAME]
Alton | 2985 |  | 3 | 2505 |  | 4 | 2406 | 5
Barnstead* | 2126 |  | 9 | 1513 |  | 7 | 1516 | 4
Belmont | 3261 |  | 16 | 2437 |  | 9 | 2443 | 6
Center Harbor | 653 |  | 1 | 481 |  | 1 | 486 | 1
Gilford | 3978 |  | 29 | 2816 |  | 10 | 2805 | 9
Gilmanton | 1926 |  | 4 | 1390 |  | 4 | 1403 | 3
[NAME] | 1278 |  | 3 | 920 |  | 3 | 938 | 2
[NAME] | 998 |  | 4 | 703 |  | 2 | 723 | 1
[NAME] 3 | 1228 |  | 8 | 859 |  | 5 | 899 | 0
[NAME] | 1069 |  | 3 | 761 |  | 1 | 774 | 1
[NAME] | 956 |  | 1 | 644 |  | 0 | 653 | 0
[NAME] 6 | 1611 |  | 6 | 1064 |  |  | 1093 | 1
Meredith | 3513 |  | 13 | 2709 |  | 11 | 2714 | 9
New Hampton | 1154 |  | 3 | 825 |  | 1 | 828 | 3
Sanbornton | 1563 |  | 5 | 1129 |  | 4 | 1133 | 4
[NAME] | 1644 |  | 8 | 1134 |  | 6 | 1144 | 3
TOTALS | 29943 |  | 116 | 21890 |  | 68 | 21958 | 52
 | Reg. of Deeds |  |  |  |  | Reg. Of Probate
 | Luther, r | Ahlgren, d | [NAME] |  |  | Brickner, r | Shartar-Howe, d | [NAME]
Alton | 1937 | 1022 | 2 |  |  | 2011 | 932 | 3
Barnstead* | 1205 | 910 |  |  |  | 1253 | 866
Belmont | 1867 | 1327 |  |  |  | 1895 | 1274
Center Harbor | 417 | 201 | 1 |  |  | 404 | 211
Gilford | 2448 | 1440 | 3 |  |  | 2374 | 1448 | 2
Gilmanton | 1119 | 765 |  |  |  | 1166 | 705
[NAME] | 643 | 438 |  |  |  | 800 | 434
[NAME] | 574 | 436 |  |  |  | 552 | 436
[NAME] 3 | 748 | 486 |  |  |  | 704 | 497 | 1
[NAME] | 626 | 438 |  |  |  | 606 | 442
[NAME] | 518 | 426 |  |  |  | 502 | 427
[NAME] 6 | 952 | 590 | 1 |  |  | 906 | 582 | 1
Meredith | 2104 | 1346 | 1 |  |  | 2132 | 1282 | 1
New Hampton | 659 | 438 |  |  |  | 641 | 495
Sanbornton | 846 | 760 |  |  |  | 854 | 717
[NAME] | 825 | 813 |  |  |  | 860 | 768
TOTALS | 17488 | 11836 | 8 |  |  | 17660 | 11516 | 8
 | County Commissioners
 | District 1 |  |  | District  2 |  | District 3
 | [NAME], r | Philpot, d | [NAME] | NO ELECTION |  | Nedeau, r |  | [NAME]
Alton |  |  |  |  |  | 2366 |  | 5
Barnstead
Belmont
Center Harbor |  |  |  |  |  | 494
Gilford |  |  |  |  |  | 2843 |  | 20
Gilmanton
[NAME] | 652 | 636
[NAME] | 445 | 571
[NAME] 3 | 514 | 744
[NAME] | 470 | 618
[NAME] | 387 | 579
[NAME] 6 | 762 | 800
Meredith |  |  |  |  |  | 2819 |  | 7
New Hampton | 583 | 569 | 1
Sanbornton | 806 | 803
[NAME]
TOTALS | 4619 | 5320 | 1 |  |  | 8522 |  | 32
*corrections received from clerk
Spreadsheet: 546328d1509990356-problem-with-solver-maxsharpe
Sheet: max sharpe (3)

Asset | Volat | Rend | Pesi
EMTS LYX GLOBAL BONDS | 0.02687 | 0.06689 | 0.0931972520820185
Old Mut [NAME] Abs Ret | 0.03751 | 0.08129 | 0.09460947237885993
Nordea-1 Stable Ret BP Acc | 0.03399 | 0.07069 | 0.07061605427518636
Pimco Income Hdg | 0.0318 | 0.0751 | 0.1415772212639352
Carmignac Securite Acc | 0.00823 | 0.04404 | 0.6
 |  |  |  |  | 2.9e-06 | 7e-07 | 7e-07 | 1.7e-06 | 3e-07
 |  |  |  |  | 7e-07 | 5.6e-06 | 1.3e-06 | 0 | 3e-07
 |  |  |  |  | 7e-07 | 1.3e-06 | 4.6e-06 | 1.1e-06 | 2e-07
 |  |  |  |  | 1.7e-06 | 0 | 1.1e-06 | 4e-06 | 1e-07
 |  |  |  |  | 3e-07 | 3e-07 | 2e-07 | 1e-07 | 3e-07
Media
varianza
SD
[NAME]
fattore molt | 2.7
[NAME]
Spreadsheet: 270704d1381599602-help-with-day-calculation-formula-visa-passport-2003-off2010-copyright
Sheet: Passport

 |  | Passport validation  ©
 | You MUST have 6 months left on your passport to enter Turkey
 | Enter your next depart date |  |  | 2013-11-15 00:00:00
 |  | Current visa started on |  | 2013-06-01 00:00:00 |  |  |  | 180 part of visa expires
 |  |  |  |  |  |  |  | 180 day roll back from next exit date
 | List your holiday dates using  dd/mm/yy format |  |  |  |  |  |  | Days in turkey on latest 180 roll back
 |  | Arrive | [NAME] | Days used
 | 1 | 2013-06-01 00:00:00 | 2013-06-15 00:00:00
 | 2 | 2013-08-01 00:00:00 | 2013-08-24 00:00:00
 | 3 | 2013-10-01 00:00:00 | 2013-11-15 00:00:00
 | 4
 | 5
 | 6
 |  |  | total days used
 | The above information is for guidance only
 |  | Juco   fstorm   Passport   14/8/12
 |  | This calculator may be be used for private use, contact the owner for public use. ©
 |  |  | Use the tabs at the bottom of this page to switch between Visa & Passport
Spreadsheet: 211411d1359738838-add-numbers-of-several-rows-behind-each-other-in-one-row-excel-add-numbers-in-a-row-with-different-lenght
Sheet: Sheet1

 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10
Pieter | 53
[NAME] | 18 | 19 | 52
Jan | 58 | 52
Gerard | 58 | 53 | 20 | 19 | 18
 |  |  |  |  |  |  |  |  |  |  |  | I have several rows where people can fill in a duration of a certain activity
 |  |  |  |  |  |  |  |  |  |  |  | The problem is that I have to add all these number behind each other in one row.
 |  |  |  |  |  |  |  |  |  |  |  | So add all the times of [NAME] behind each other in one row
 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |  | See example to get an better picture.
Pieter | 42 | 54 | 12 | 42 | 14
[NAME] | 12 | 11
Jan | 11 | 11 | 12
Gerard | 55 | 47 | 47 | 47
 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10
Pieter | 14
[NAME] | 1 | 15 | 54
Jan | 14 | 12 | 14 | 56
Gerard | 21 | 87 | 45 | 45 | 14
TOTAL
 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20
Pieter
[NAME]
Jan
Gerard
TOTAL | EXAMPLE HOW IT SHOULD BE
 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20
Pieter |  |  |  |  |  |  | 14
[NAME]
Jan
Gerard
Spreadsheet: 82c010fd-cb87-48c3-8c90-ec4a6f96f63c
Sheet: 2012 writing grade 6

[NAME] |  | Total Number | [NAME]
Grade 6 |  |  | Inconclusive | Exploring | Emerging | Developing | Novice | No Score
2010 | All Students | 613 | 8 | 19 | 22 | 31 | 14 | 6
2011 |  | 562 | 10 | 19 | 24 | 28 | 13 | 5
2012 | All Students | 652 | 9 | 17 | 26 | 30 | 13 | 5
 | Black or African American | 44 | 5 | 20 | 20 | 27 | 18 | 9
 | Hispanic or Latino | 239 | 9 | 18 | 25 | 32 | 10 | 5
 | White | 329 | 10 | 17 | 27 | 28 | 13 | 4
 | Two or more races | 19 | 5 |  | 21 | 32 | 42
 | Minority | 323 | 8 | 17 | 25 | 31 | 13 | 5
 | English Learners | 95 | 5 | 22 | 33 | 29 | 9 | 1
 | Free/Reduced Lunch | 361 | 7 | 15 | 28 | 32 | 13 | 4
 | Female | 239 | 7 | 14 | 29 | 28 | 16 | 5
 | Male | 411 | 11 | 19 | 24 | 31 | 11 | 4
Spreadsheet: 123725d1317827797-returning-multiple-results-from-vlookup-help-2
Sheet: Original Data

Company A | Product Description | Current Manufacturer | Current Product Number | Quantity Per Case | Similar or Identical | Company A Product Description | Quantity per Case
1000 | High | Comp d | 12 | 50 | S | high | 50
1000 | High | Comp e | 32 | 50 | S | high, twist | 50
1000 | High | Comp f | 42 | 50 | S | high, twist | 50
1000 | High | Comp f | 63 | 50 | S | high | 50
1000 | High | Comp e | 132 | 50 | S | high, twist swirel | 50
1000 | High | Comp t | 65 | 12 | S | high, twist swirel | 50
1000 | High | Comp r | 453 | 50 | I | twist, swirel | 50
1000 | High | Comp r | 3654-22 | 41 | S | twist, high | 50
1007 | Low | Comp e | 466 | 50 | S | L | 50
1007 | Low | Comp e | 123 | 50 | I | L+h | 50
1007 | Low | Comp f | 865 | 50 | S | L+h | 50
1007 | Low | Comp r | 435 | 50 | S | L | 50
1007 | Low | Comp t | 285 | 12 | S | L | 50
1007 | Low | Comp d | 143 | 12 | S | L+lh | 50
1007 | Low | Comp s | 8685 | 50 | S | L+h | 50
1007 | Low | Comp t | 234 | 50 | S | L | 50
1007 | Low | Comp h | 97-44 | 50 | S | L+lh | 50
1007 | Low | Comp f | 4325 | 50 | S | L | 50
1007 | Low | Comp f | 6657 | 50 | I | L | 50
1007 | Low | Comp f | 34 | 50 | I | L+h | 50
1007 | Low | Comp r | 2 | 50 | S | L+s | 50
1007 | Low | Comp t | 4786 | 50 | S | S | 50
1007 | Low | Comp t | 2345 | 12 | S | S | 50
1007 | Low | Comp t | 9869 | 50 | S | H | 50
1007 | Low | Comp f | 234 | 12 | S | H | 50
1007 | Low | Comp d | 785 | 12 | S | L | 50
1007 | Low | Comp e | 234 | 12 | S | H | 50
1009 | Med | Comp t | 73 | 50 | S | A | 50
1009 | Med | Comp e | 32 | 50 | S | AS | 50
1009 | Med | Comp e | 7642 | 50 | S | A | 50
1009 | Med | Comp e | 234 | 12 | I | AA | 50
1009 | Med | Comp f | 62 | 50 | S | AAA | 50
1009 | Med | Comp f | 243 | 50 | S | AAS | 50
1009 | Med | Comp r | 2435 | 12 | S | A | 50
1009 | Med | Comp e | 73 | 50 | S | AS | 50
1009 | Med | Comp f | 987 | 50 | S | AS | 50
Spreadsheet: 328260d1403846562-delivery-schedule-percentage-delivery-schedule-bvj-
Sheet: PivotTable

Count of Actual Delivery | Supplier
Actual Delivery | Kimono | Perth Cutting | SPM | Grand Total
-11 |  |  | 1 | 1
-5 |  | 2 |  | 2
2 |  | 1 |  | 1
5 | 1 |  |  | 1
Grand Total | 1 | 3 | 1 | 5