tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 784667d1655895393-how-to-combine-multiple-sumifs-name-manager-time-filter-v1
Sheet: Sheet1

Date | Gender | New vs Returning | Product ID | Category | Sub-Category | Product Name | Quantity | Total Revenue |  | Product ID | Price |  | Time Filter
2020-01-02 00:00:00 | Male | New | A01 | A | A1 | [NAME] | 3 |  |  | A01 | 10 |  | All Time
2020-02-01 00:00:00 | Male | New | A01 | A | A1 | [NAME] | 1 |  |  | A02 | 12 |  | Year
2020-03-02 00:00:00 | Male | New | A02 | A | A2 | Apple | 3 |  |  | A03 | 8 |  | Month
2020-04-02 00:00:00 | Female | New | A03 | A | A3 | Orange | 7 |  |  | B01 | 14 |  | Week
2020-05-02 00:00:00 | Female | New | B01 | B | B1 | Potato | 1 |  |  | B02 | 6 |  | Today
2020-06-02 00:00:00 | Male | New | B01 | B | B1 | Potato | 5 |  |  | B03 | 12 |  | Day
2020-07-02 00:00:00 | Male | New | B02 | B | B2 | Tomato | 1 |  |  | B04 | 15
2020-08-02 00:00:00 | Male | New | B02 | B | B2 | Tomato | 3 |  |  | C01 | 5
2020-09-02 00:00:00 | Male | New | B03 | B | B3 | Sweet Potato | 5 |  |  | C02 | 4
2020-10-02 00:00:00 | Male | New | B04 | B | B4 | [NAME] | 5
2020-11-02 00:00:00 | Female | New | C01 | A | C1 | [NAME] | 1
2020-12-02 00:00:00 | Female | New | C01 | A | C1 | [NAME] | 6
2021-01-02 00:00:00 | Female | Returning | C02 | A | C2 | Noodle | 3 |  |  | Year
2021-02-02 00:00:00 | Female | Returning | C02 | A | C2 | Noodle | 9 |  |  | Date | 2020-02-01 00:00:00
2021-03-02 00:00:00 | Female | Returning | B03 | B | B3 | Sweet Potato | 1
2021-04-02 00:00:00 | Female | Returning | B04 | B | B4 | [NAME] | 2 |  |  | Female
2021-05-02 00:00:00 | Female | New | C01 | A | C1 | [NAME] | 10 |  |  | Male
2021-06-02 00:00:00 | Female | New | C01 | A | C1 | [NAME] | 6
2021-07-02 00:00:00 | Female | New | A03 | A | A3 | Orange | 9
2021-08-02 00:00:00 | Male | New | B01 | B | B1 | Potato | 2
2021-09-02 00:00:00 | Male | New | B03 | B | B3 | Sweet Potato | 1
2021-10-02 00:00:00 | Female | New | B04 | B | B4 | [NAME] | 7
2021-11-02 00:00:00 | Female | Returning | C01 | A | C1 | [NAME] | 4
2021-12-02 00:00:00 | Female | Returning | C01 | A | C1 | [NAME] | 1
2022-01-02 00:00:00 | Female | Returning | C02 | A | C2 | Noodle | 4
2022-02-02 00:00:00 | Male | Returning | B03 | B | B3 | Sweet Potato | 5
2022-03-02 00:00:00 | Male | New | B04 | B | B4 | [NAME] | 8
2022-04-02 00:00:00 | Female | New | A03 | A | A3 | Orange | 8
2022-05-02 00:00:00 | Female | Returning | B01 | B | B1 | Potato | 3
2022-06-02 00:00:00 | Female | Returning | B01 | B | B1 | Potato | 5
Spreadsheet: 97105d1296314675-file-size-increased-and-slow-after-formulas-and-conditional-formatting-test12
Sheet: Sheet1

 |  | Milestone1 |  | Milestone2 |  | Milestone3 |  | Milestone4 |  | Milestone5
TASK NAME | TASK ID | Focus | Actual | Focus | Actual | Focus | Actual | Focus | Actual | Focus | Actual
A | A1 |  | 2011-01-01 00:00:00 |  | P
B | B1
C | C1 |  | stop |  | 2011-01-11 00:00:00 | S
D | D1
E | E1 |  | progress
Spreadsheet: 769146d1645349783-how-to-extend-a-table-with-a-formated-row-nav-log
Sheet: Aerodrome-Data

 | LOAN | ATIS | [NAME] | --- |  |  | LOAN
 | LOAN | Ground | [NAME] | --- |  |  | LOAV
 | LOAN | Tower | [NAME] | 122.665
 | LOAN | Altitude | ft | 896
 | LOAN | Runway |  | 09
 | LOAN | 09_TORA | m | 1067
 | LOAN | 09_LDA | m | 1067
 | LOAN | 09_Slope | % | 0
 | LOAN | 09_Surface |  | paved
 | LOAN | Runway |  | 27
 | LOAN | 27_TORA | m | 1067
 | LOAN | 27_LDA | m | 1067
 | LOAN | 27_Slope | % | 0
 | LOAN | 27_Survace |  | paved
 | LOAV | ATIS | [NAME] | ---
 | LOAV | Ground | [NAME] | ---
 | LOAV | Tower | [NAME] | 118,605
 | LOAV | Altitude | ft | 767
 | LOAV | Runway |  | 13L
 | LOAV | 13L_TORA | m | 650
 | LOAV | 13L_LDA | m | 650
 | LOAV | 13L_Slope | % | 0
 | LOAV | 13L_Surface |  | lowgrass
 | LOAV | Runway |  | 13R
 | LOAV | 13R_TORA | m | 950
 | LOAV | 13R_LDA | m | 950
 | LOAV | 13R_Slope | % | 0
 | LOAV | 13R_Surface |  | paved
 | LOAV | Runway |  | 31L
 | LOAV | 31L_TORA | m | 950
 | LOAV | 31L_LDA | m | 950
 | LOAV | 31L_Slope | % | 0
 | LOAV | 31L_Surface |  | paved
 | LOAV | Runway |  | 31R
 | LOAV | 31R_TORA | m | 650
 | LOAV | 31R_LDA | m | 650
 | LOAV | 31R_Slope | % | 0
 | LOAV | 31R_Survace |  | lowgrass
Spreadsheet: 541663d1507473439-lookup-with-multiple-and-identical-criteria-book2
Sheet: TEst

 | 2017-08-31 00:00:00 | 2017-08-31 00:00:00 | 2017-08-31 00:00:00 | 2017-08-31 00:00:00 |  | BBB
Product | Sales | Percentile | Cost of Sales | Percentile |  | 2017-08-31 00:00:00
AAA | 100 | 55 | 80 | 82 |  | Percentile
BBB | 200 | 45 | 150 | 16
CCC | 300 | 89 | 245 | 47 |  | Required Result
Spreadsheet: 671260d1586331961-update-defining-exact-length-of-string-for-istext-within-aggregate-function-00-wages-template-for-tests
Sheet: 07 SUNDAY

DAY: |  | SUNDAY |  | DATE:
No. |  | NAME |  |  |  | FROM | TO | Wh | VL | SL | OT | F/L | Hr | F/L | Hr | F/L | Hr | F/L | Hr | JOBS | Hr | GR/WS | Hr | CHECK |  | JOBS BREAKDOWN
12 | D |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | [NAME] |  |  | GROUPAGE
11 | D |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | DRIVERS |  |  | DRIVERS
14 | O |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | PART TIMERS |  |  | PART TIMERS
33 | O |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | WELDERS |  |  | WELDERS
37 | W
27 | W |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | JOBS
53 | W |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | JOBS | HR | WD | PT | DR
54 | W
50 | W |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | -
30 | P
31 | P
32 | P
51 | P
52 | P
55 | P
15 | P
23 | P |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | REPAIRS MT
26 | P |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | JOBS | HR | WD | PT | DR
6 | D
10 | D
47 | D
[NAME] |  |  |  |  | GROUPAGE |  |  | IDLE TIME |  |  |  |  | JOBS |  |  |  | REPAIRS MT |  |  |  | WORKSHOP WS
JOBS |  |  | HR |  | JOBS | HR |  | JOBS |  |  | HR |  | JOBS |  | HR |  | JOBS |  | HR |  | JOBS |  | HR
TOTAL |  |  |  |  | TOTAL |  |  | TOTAL |  |  |  |  | TOTAL |  |  |  | TOTAL |  |  |  | TOTAL
 |  |  |  |  | Hours Calculator |  |  |  |  |  |  |  |  |  |  | TOTAL 2 |  |  |  |  | TOTAL 1
Spreadsheet: 823221d1679818481-make-a-cell-with-many-lines-into-order-example1
Sheet: Scratchpad

Name	Buy-in	Plrs	Prize Pool	Status 8-Max Turbo:{#P}$750 Gtd{#M}	$16.50	34	$750	Late Reg ends: 10 mins Bounty Battle 6-Max Hyper:{#P}$500 Gtd{#M}	$11	23	$500	Late Reg ends: 20 mins Daily Legends{#P}6-Max Turbo:{#M}$1.5K Gtd{#S}	$33	19	$1,500	Late Reg ends: 25 mins The Super $5.50:{#P}$2,000 Gtd{#M}[Grand Prix Edition]{#S}	$5.50	249	$2,000	Late Reg ends: 46 mins The Super $22:{#P}$6,000 Gtd{#M}[Grand Prix Edition]{#S}	$22	184	$6,000	Late Reg ends: 46 mins The Super $109:{#P}$5,000 Gtd{#M}	$109	24	$5,000	Late Reg ends: 1 hr  10 mins 8-Max Deepstack:{#P}$300 Gtd{#M}	$7.50	13	$300	Late Reg ends: 1 hr  11 mins
 |  | Buy In | Plrs | Prize pool | Status
 | 8-[NAME]: | 750 Gtd | 16.50	34 | 750 | Late Reg ends: 10 mins
 | Bounty Battle 6-[NAME]: | 500 Gtd | 11	23 | 500 | Late Reg ends: 20 mins
 | Daily Legends6-[NAME]: | 1.5K Gtd | 33	19 | 1,500 | Late Reg ends: 25 mins |  | RESULT AFTER YOUR CODE
 | The Super5.50: | 2,000 Gtd[Grand Prix Edition] | 5.50	249 | 2,000 | Late [NAME] ends: 46 mins
 | The Super22: | 6,000 Gtd[Grand Prix Edition] | 22	184 | 6,000 | Late [NAME] ends: 46 mins
 | The Super109: | 5,000 Gtd | 109	24 | 5,000 | Late Reg ends: 1 hr  10 mins
 | 8-Max Deepstack: | 300 Gtd | 7.50	13 | 300 | Late Reg ends: 1 hr  11 mins
 | Name | Buy-in | Plrs | Prize Pool | Status
 | 8-Max Turbo:{#P}$750 Gtd{#M} | $16.50 | 34 | $750 | Late Reg ends: 10 mins
 | Bounty Battle 6-Max Hyper:{#P}$500 Gtd{#M} | $11 | 23 | $500 | Late Reg ends: 20 mins
 | Daily Legends{#P}6-Max Turbo:{#M}$1.5K Gtd{#S} | $33 | 19 | $1,500 | Late Reg ends: 25 mins
 | The Super $5.50:{#P}$2,000 Gtd{#M}[Grand Prix Edition]{#S} | $5.50 | 249 | $2,000 | Late [NAME] ends: 46 mins |  | Hopefully expected results
 | The Super $22:{#P}$6,000 Gtd{#M}[Grand Prix Edition]{#S} | $22 | 184 | $6,000 | Late [NAME] ends: 46 mins
 | The Super $109:{#P}$5,000 Gtd{#M} | $109 | 24 | $5,000 | Late Reg ends: 1 hr  10 mins
 | 8-Max Deepstack:{#P}$300 Gtd{#M} | $7.50 | 13 | $300 | Late Reg ends: 1 hr  11 mins
Spreadsheet: 3b704d82-e2bd-4690-b0af-489024d5d22d
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11 | Unnamed: 12
 |  | U.S. Census Bureau
 |  | Source: Construction Spending
 |  | Total Construction: U.S. Total
 |  | Seasonally Adjusted Total Construction [Millions of Dollars]
 |  | Period: 2002 to 2012
 |  | Data Extracted on: March 8, 2014 (11:05 am)
Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
Spreadsheet: 864782d1711903892-create-new-list-of-matching-records-sample-workbook-38-aligw
Sheet: Tuesday

End of Shift Report
PRODUCTS SOLD
Item | Category | Weight | Price | Remarks
[NAME] | Fruit | 200 | 12.3 | Bunch of six.  [NAME] 12/03
Fish | Other | 120 | 10 | Shrimps
Fish | Other | 140 | 12.3 | Crayfish
Burgers | Meat | 100 | 9.8 | Vegan
Potato Chips | Snacks | 50 | 1.9 | Cheese and Onion
Candy | Snacks | 30 | 1.4 | M&Ms
Candy | Snacks | 34 | 120 | Mike & Ikes
Fish | Other | 150 | 13.4 | Monkfish
Steak | Meat | 90 | 9.4 | Sirloin
Spreadsheet: mark_taylor__25010__Week 12 Results
Sheet: Sheet1

College Football Pool
2001-2002
 | Name | Wk 1 | Wk 2 | Wk 4 | Wk 5 | Wk 6 | Wk 7 | Wk 8 | Wk 9 | Wk 10 | Wk 11 | Wk 12 | Wk 13 | Wk 14 | Cumulative | Ave/Week
1 | [NAME] | 7 | 5 | 11 | 14 | 9 | 8 | 7 | 14 | 14 | 7 | 12 | 0 | 0 | 108 | 9.818181818181818
2 | [NAME] | 15 | 15 | 13 | 6 | 7 | 7 | 5 | 11 | 8 | 7 | 9 | 0 | 0 | 103 | 9.363636363636363
3 | [NAME] | 11 | 5 | 14 | 11 | 5 | 5 | 15 | 2 | 13 | 11 | 5 | 0 | 0 | 97 | 8.818181818181818
4 | [NAME] | 7 | 4 | 15 | 4 | 8 | 12 | 7 | 12 | 5 | 15 | 7 | 0 | 0 | 96 | 8.727272727272727
5 | [NAME] | 8 | 9 | 5 | 11 | 12 | 6 | 9 | 2 | 9 | 11 | 9 | 0 | 0 | 91 | 8.272727272727273
6 | [NAME] | 5 | 7 | 8 | 10 | 7 | 11 | 7 | 2 | 9 | 14 | 8 | 0 | 0 | 88 | 8
7 | [NAME] | 4 | 11 | 8 | 10 | 9 | 3 | 7 | 5 | 7 | 8 | 15 | 0 | 0 | 87 | 7.909090909090909
8 | [NAME] | 9 | 15 | 7 | 3 | 15 | 10 | 2 | 6 | 10 | 3 | 4 | 0 | 0 | 84 | 7.636363636363637
9 | [NAME] | 6 | 10 | 7 | 15 | 3 | 6 | 6 | 3 | 15 | 6 | 5 | 0 | 0 | 82 | 7.454545454545454
9 | [NAME] | 4 | 2 | 9 | 7 | 15 | 1 | 10 | 12 | 6 | 7 | 9 | 0 | 0 | 82 | 7.454545454545454
11 | [NAME] | 12 | 13 | 6 | 11 | 6 | 5 | 6 | 5 | 3 | 10 | 3 | 0 | 0 | 80 | 7.272727272727272
12 | [NAME] | 3 | 5 | 11 | 14 | 15 | 4 | 0 | 6 | 9 | 7 | 5 | 0 | 0 | 79 | 7.181818181818182
13 | [NAME] | 14 | 3 | 7 | 10 | 8 | 10 | 5 | 1 | 11 | 4 | 4 | 0 | 0 | 77 | 7
13 | [NAME] | 4 | 10 | 8 | 5 | 8 | 12 | 9 | 6 | 8 | 1 | 6 | 0 | 0 | 77 | 7
13 | [NAME] | 12 | 5 | 9 | 4 | 9 | 9 | 6 | 9 | 0 | 6 | 8 | 0 | 0 | 77 | 7
16 | [NAME] | 15 | 10 | 10 | 2 | 7 | 3 | 9 | 0 | 4 | 10 | 5 | 0 | 0 | 75 | 6.818181818181818
16 | [NAME] | 5 | 9 | 7 | 15 | 8 | 7 | 2 | 4 | 6 | 5 | 7 | 0 | 0 | 75 | 6.818181818181818
18 | [NAME] | 11 | 11 | 4 | 3 | 15 | 2 | 6 | 6 | 3 | 10 | 2 | 0 | 0 | 73 | 6.636363636363637
18 | [NAME] | 0 | 10 | 8 | 11 | 6 | 5 | 3 | 4 | 9 | 10 | 7 | 0 | 0 | 73 | 6.636363636363637
20 | [NAME] | 8 | 12 | 10 | 3 | 9 | 8 | 1 | 3 | 6 | 3 | 9 | 0 | 0 | 72 | 6.545454545454546
21 | [NAME] | 12 | 0 | 10 | 5 | 11 | 5 | 6 | 6 | 11 | 2 | 3 | 0 | 0 | 71 | 6.454545454545454
21 | [NAME] | 6 | 5 | 8 | 8 | 10 | 3 | 3 | 5 | 9 | 10 | 4 | 0 | 0 | 71 | 6.454545454545454
23 | [NAME] | 5 | 13 | 5 | 6 | 6 | 5 | 10 | 1 | 5 | 6 | 4 | 0 | 0 | 66 | 6
24 | [NAME] | 13 | 1 | 7 | 9 | 6 | 6 | 8 | 3 | 9 | 1 | 2 | 0 | 0 | 65 | 5.909090909090909
25 | [NAME] | 3 | 5 | 10 | 1 | 10 | 6 | 9 | 7 | 6 | 3 | 0 | 0 | 0 | 60 | 5.454545454545454
26 | [NAME] | 2 | 3 | 4 | 6 | 8 | 5 | 10 | 0 | 9 | 2 | 8 | 0 | 0 | 57 | 5.181818181818182
 | High Score | 15 | 15 | 15 | 15 | 15 | 12 | 15 | 14 | 15 | 15 | 15 | 0 | 0 | 108 | 9.818181818181818
 | Average Weekly | 7.730769230769231 | 7.615384615384615 | 8.5 | 7.846153846153846 | 8.923076923076923 | 6.307692307692307 | 6.461538461538462 | 5.192307692307693 | 7.846153846153846 | 6.884615384615385 | 6.15384615384615 | 0 | 0 | 79.46153846153847 | 7.223776223776223
Spreadsheet: 539093d1505957181-need-to-isolate-offsetting-amounts-for-a-unique-control-number-in-excel-for-easy-removal-need-to-isolate-offsetting-amounts-for-a-unique-control-number-in-excel-for-easy-remov
Sheet: Sheet1

136 | TX1135 | AN236-A | 236 | 120194 | 331 | 1331 | -167.73 | 2009-11-01 00:00:00 | 0 | 0 | 120194 | 2009-06-26 00:00:00 | NULL | -167.73
137 | TX1136 | AN236-A | 236 | 120194 | 331 | 1331 | -167.73 | 2010-03-01 00:00:00 | 0 | 0 | 120194 | 2009-06-26 00:00:00 | NULL | -167.73
138 | TX1137 | AN236-A | 236 | 120194 | 331 | 1331 | -167.73 | 2010-03-01 00:00:00 | 0 | 0 | 120194 | 2009-11-11 00:00:00 | NULL | -167.73
139 | TX1138 | AN236-A | 236 | 120194 | 331 | 1331 | 167.73 | 2009-11-01 00:00:00 | 0 | 0 | 120194 | NULL | NULL | -167.73
140 | TX1139 | AN236-A | 236 | 120194 | 331 | 1331 | 167.73 | 2009-11-01 00:00:00 | 0 | 0 | 120194 | NULL | NULL | -167.73
141 | TX1140 | AN236-A | 236 | 120195 | 331 | 1331 | -626.44 | 2009-11-01 00:00:00 | 0 | 0 | 120195 | 2009-06-26 00:00:00 | NULL | -626.44
142 | TX1141 | AN236-A | 236 | 120195 | 331 | 1331 | -626.44 | 2010-03-01 00:00:00 | 0 | 0 | 120195 | 2009-06-26 00:00:00 | NULL | -626.44
143 | TX1142 | AN236-A | 236 | 120195 | 331 | 1331 | -626.44 | 2010-03-01 00:00:00 | 0 | 0 | 120195 | 2009-11-11 00:00:00 | NULL | -626.44
144 | TX1143 | AN236-A | 236 | 120195 | 331 | 1331 | 626.44 | 2009-11-01 00:00:00 | 0 | 0 | 120195 | NULL | NULL | -626.44
145 | TX1144 | AN236-A | 236 | 120195 | 331 | 1331 | 626.44 | 2009-11-01 00:00:00 | 0 | 0 | 120195 | NULL | NULL | -626.44
Spreadsheet: 883359d1731984720-sumifs-with-indirect-did-not-work-stock-control-sumifs
Sheet: Joe

Date | Stock | Quantity | Price | Total
2024-11-05 00:00:00 | Tea bag | 5
2024-11-06 00:00:00 | Pop Me | 2
2024-11-09 00:00:00 | Ramen | 1
2024-11-11 00:00:00 | Bongo (B) | 1
2024-11-13 00:00:00 | Milo | 1
Spreadsheet: 218804d1362585279-football-league-table-database
Sheet: Export Summary

 | This document was exported from Numbers.  Each table was converted to an Excel worksheet. All other objects on each Numbers sheet were placed on separate worksheets. Please be aware that formula calculations may differ in Excel.
 | Numbers Sheet Name | Numbers Table Name | Excel Worksheet Name
 | Sumário
 |  | Tabela 3 | Sumário - Tabela 3
 |  | Tabela 2 | Sumário - Tabela 2
 |  | Tabela 2-1 | Sumário - Tabela 2-1
 |  | Tabela 2-3 | Sumário - Tabela 2-3
 |  | Tabela 2-4 | Sumário - Tabela 2-4
 |  | Tabela 2-1-1 | Sumário - Tabela 2-1-1
 |  | Tabela 2-3-1 | Sumário - Tabela 2-3-1
 |  | Tabela 2-3-1-1 | Sumário - Tabela 2-3-1-1
 |  | Tabela 2-3-1-1-1 | Sumário - Tabela 2-3-1-1-1
 |  | Tabela 2-3-1-1-1-1 | Sumário - Tabela 2-3-1-1-1-1
 |  | Tabela 2-3-1-1-1-2 | Sumário - Tabela 2-3-1-1-1-2
 |  | Tabela 2-3-1-1-1-1-1 | Sumário - Tabela 2-3-1-1-1-1-1
 |  | Tabela 2-3-1-1-1-1-1-1 | Sumário - Tabela 2-3-1-1-1-1-1-
 |  | Tabela 2-3-1-1-1-1-1-1-1 | Sumário - Tabela 2-3-1-1-1-1-11
 |  | Tabela 2-3-1-1-1-1-1-1-1-1 | Sumário - Tabela 2-3-1-1-1-1-12
 |  | Tabela 2-3-1-1-1-1-1-1-1-1-1 | Sumário - Tabela 2-3-1-1-1-1-13
 |  | Tabela 2-3-1-1-1-1-1-1-1-1-1-1 | Sumário - Tabela 2-3-1-1-1-1-14
 |  | Tabela 2-3-1-1-1-1-1-1-1-1-1-1-1 | Sumário - Tabela 2-3-1-1-1-1-15
 |  | Tabela 2-3-1-1-1-1-1-1-1-1-1-1-2 | Sumário - Tabela 2-3-1-1-1-1-16
 |  | Tabela 2-3-1-1-1-1-1-1-1-1-1-1-2-1 | Sumário - Tabela 2-3-1-1-1-1-17
 |  | Tabela 2-3-1-1-1-1-1-1-1-1-1-1-2-1-1 | Sumário - Tabela 2-3-1-1-1-1-18
 |  | Tabela 2-3-1-1-1-1-1-1-1-1-1-1-2-1-1-1 | Sumário - Tabela 2-3-1-1-1-1-19
 |  | Tabela 2-3-1-1-1-1-1-1-1-1-1-1-2-1-1-1-1 | Sumário - Tabela 2-3-1-1-1-1-10
 |  | Tabela 2-3-1-1-1-1-1-1-1-1-1-1-2-1-1-1-2 | Sumário - Tabela 2-3-1-1-1-120
 |  | Tabela 2-3-1-1-1-1-1-1-1-1-1-1-2-1-1-1-2-1 | Sumário - Tabela 2-3-1-1-1-21
 |  | Tabela 2-3-1-1-1-1-1-1-1-1-1-1-2-1-1-1-2-2 | Sumário - Tabela 2-3-1-1-122
 |  | Tabela 2-3-1-1-1-1-1-1-1-1-1-1-2-1-1-1-2-2-1 | Sumário - Tabela 2-3-1-1-23
 |  | Tabela 2-3-1-1-1-1-1-1-1-1-1-1-2-1-1-1-2-2-2 | Sumário - Tabela 2-3-1-124
 |  | Tabela 2-3-1-1-1-1-1-1-1-1-1-1-2-1-1-1-2-2-3 | Sumário - Tabela 2-3-1-25
 | Registo de Corrida
 |  | Passo 1: Registo de Corrida | [NAME]_ R
 |  | Passo 2: Sumário de Corrida | [NAME]_ S
 |  | "All Drawings from the Sheet" | [NAME]
 | Treino com [NAME]
 |  | Registo de Treinos | Treino com Pesos - Registo de T
 | Exclusão de responsabilidade
 |  | "All Drawings from the Sheet" | Exclusão de responsabilidade
Spreadsheet: 6ccda76c-fe42-41d6-bc86-e95b79061628
Sheet: Budget Summaries 1

Consolidated Budget Summary
 | Net | Net | District
Description | Operating | Total | Total
 | Total | (Other Funds)
Beginning Fund Balance
Revenues
Allocations
Transfers Between Funds
Total Funds Available
Expenditures
TABOR Amendment Reserves
Other Appropriated Reserves
Total Appropriations
Non-appropriated Reserves
Total Appropriations and Non-appropriated Reserves
Spreadsheet: 24677d1215382498-var-and-varp-stddev-and-stddevp-example
Sheet: Sheet1

Name | Age |  |  |  |  |  | Row Labels | StdDev of Age
[NAME] | 12 | 1 | 0.816496580927726 | StdDevP |  |  | Fred | #N/A
[NAME] | 14 | 1 | 1 | StdDev |  |  | [NAME] | #N/A
Fred | 13 | 0 |  |  |  |  | [NAME] | #N/A
 |  |  |  |  |  |  | Grand Total | 1
Spreadsheet: 547124d1510345061-conditional-formatting-based-on-date-range-gantt-color-auto-fill-based-on-dates-example
Sheet: Sheet1

BEFORE | 2017-11-03 00:00:00 | 2017-11-10 00:00:00 | 2017-11-17 00:00:00 | 2017-11-24 00:00:00 | 2017-11-25 00:00:00 | 2017-11-26 00:00:00
2017-11-02 00:00:00
2017-11-09 00:00:00
2017-12-05 00:00:00
2017-12-06 00:00:00
AFTER | 2017-11-03 00:00:00 | 2017-11-10 00:00:00 | 2017-11-17 00:00:00 | 2017-11-24 00:00:00 | 2017-12-01 00:00:00 | 2017-12-08 00:00:00
2017-11-02 00:00:00
2017-11-09 00:00:00
2017-12-05 00:00:00
2017-12-06 00:00:00
Spreadsheet: 0bbf7198-8ce8-4ffa-92fa-f87c16c581d0
Sheet: Sheet1

رديف | كد سيستمي | كدتابلو | نام منطقه | استان | شهر | نام نمايندگي | تعويض ماه 8 | تعويض ماه 9 | تعويض ماه 10
1 | 1848 | 1156 | تهران | تهران | پيشوا | شركت پرشين خودرو پيشوا | 0 | 11 | 5
2 | 1005 | 107 | تهران | تهران | تهران | سيدمرتضي ميري لواساني | 0 | 0 | 0
3 | 1084 | 110 | تهران | تهران | تهران | سيدابوالفضل  ميري لواساني | 0 | 0 | 0
4 | 1001 | 111 | تهران | تهران | تهران | شركت بازرگاني پژمان | 11 | 8 | 4
5 | 1131 | 127 | تهران | تهران | تهران | عليرضا بهرامي - اسداله زينلي راد | 0 | 0 | 0
6 | 1129 | 129 | تهران | تهران | تهران | حسنقلي خليفه | 0 | 0 | 0
7 | 1148 | 510 | تهران | تهران | تهران | شركت هوتن خودرو مهر | 0 | 0 | 0
8 | 1179 | 520 | تهران | تهران | تهران | جعفر  مبرهني آذر شربياني | 2 | 0 | 0
9 | 1278 | 524 | تهران | تهران | تهران | [NAME] ياورخودرو | 0 | 0 | 0
10 | 1218 | 533 | تهران | تهران | تهران | [NAME] | 1 | 3 | 1
11 | 1219 | 1001 | تهران | تهران | تهران | مجيد  روشن | 7 | 8 | 7
12 | 1417 | 1031 | تهران | تهران | تهران | مهرداد مرادنژاد | 0 | 0 | 2
13 | 1405 | 1033 | تهران | تهران | تهران | شركت فخرآوران البرز | 0 | 1 | 0
14 | 1443 | 1034 | تهران | تهران | تهران | شركت سامان خودرو فتح | 2 | 1 | 0
15 | 1422 | 1046 | تهران | تهران | تهران | خسرو رخشان روح اختر | 0 | 0 | 0
16 | 1444 | 1054 | تهران | تهران | تهران | مراد نوري | 13 | 6 | 7
17 | 1433 | 1056 | تهران | تهران | تهران | [NAME] | 0 | 0 | 1
18 | 1463 | 1068 | تهران | تهران | تهران | عبدالرضا كاظمي افجه | 2 | 0 | 1
19 | 1522 | 1079 | تهران | تهران | تهران | محمدرضا رمضان نسب | 0 | 0 | 0
20 | 1532 | 1082 | تهران | تهران | تهران | حسين پورجمشيديان | 1 | 9 | 1
21 | 1567 | 1091 | تهران | تهران | تهران | محمد قراگوزلو | 0 | 0 | 0
22 | 1610 | 1098 | تهران | تهران | تهران | مرتضي ناظم | 2 | 3 | 1
23 | 1624 | 1102 | تهران | تهران | تهران | آلفرد عيسي قليان | 0 | 0 | 0
24 | 1662 | 1107 | تهران | تهران | تهران | علي جاونكو * | 0 | 1 | 1
25 | 1664 | 1108 | تهران | تهران | تهران | [NAME] | 0 | 0 | 0
26 | 1775 | 1132 | تهران | تهران | تهران | شركت پيروز خودرو يدك | 4 | 3 | 4
27 | 1770 | 1140 | تهران | تهران | تهران | شركت پيشتاز خودرو جهان | 0 | 0 | 0
28 | 1797 | 1143 | تهران | تهران | تهران | مرتضي صباغچي | 0 | 0 | 0
29 | 1798 | 1144 | تهران | تهران | تهران | علي ساريزاده | 0 | 0 | 0
30 | 1801 | 1147 | تهران | تهران | تهران | علاءالدين توكلي | 0 | 0 | 0
31 | 1805 | 1151 | تهران | تهران | تهران | مهدي سقائيان | 0 | 0 | 0
32 | 1854 | 1160 | تهران | تهران | تهران | محمدعلي فرحزادي | 1 | 3 | 1
33 | 2053 | 1163 | تهران | تهران | تهران | منوچهر بهراميان | 0 | 0 | 0
34 | 2111 | 1168 | تهران | تهران | جاجرود | [NAME] | 0 | 0 | 0
35 | 1473 | 1063 | تهران | تهران | شهرقدس | حميد سعيدي نژاد | 4 | 4 | 2
36 | 1687 | 1118 | تهران | تهران | گلستان | شركت يدك گستر سبز دشت | 4 | 12 | 4
37 | 1694 | 1115 | تهران | تهران | ورامين | [NAME] | 0 | 0 | 1
Spreadsheet: fa565623-0b8f-42cd-b9bf-ec3dfec56a53
Sheet: Sheet1

Judgeship Number 6 (North Dakota) | Unnamed: 1 | Unnamed: 2
Downloaded at 10/31/2014 3:36:29 PM
Precincts Reporting: 528/528 - Total Ballots Cast: 321133
2008 General Election - OFFICIAL RESULTS
County | [NAME] | TOTALS
[NAME] | 56811 | 56811
Steele | 848 | 848
Traill | 3411 | 3411
TOTAL | 61070 | 61070
Results provided by the Office of North Dakota Secretary of State
Spreadsheet: 110756d1307376878-vlookup-match-index-clueless-on-what-to-use-book2
Sheet: Sheet1

 | Location | Number | Red | Blue | White
 | ATL | 1 | ATL-Rojo | ATL-Azul | ATL-Blanco
 | BOS | 2 | BOS-Rojo | BOS-Azul | BOS-Blanco
 | WAS | 3 | WAS-Rojo | WAS-Azul | WAS-Blanco
 | After entering this information |  |  | [NAME] should return
 | [NAME] | ATL | Red | ATL-Rojo
 | [NAME] | BOS | Blue | BOS-Azul
Spreadsheet: 886524d1736542239-count-nth-row-of-array-with-condition-countif-countif
Sheet: Sheet1

 |  | Name | Class | State | County |  | [NAME] |  |  |  |  |  | should be
 |  | Adamana | Populated Place | Arizona | Apache |  |  | Populated Place | Arizona | Apache |  | Apache |  | << COUNTIF 4th column of array = M
 |  | Adobe | Populated Place | Arizona | Maricopa |  | Adobe | Populated Place | Arizona | Maricopa |  | Maricopa | 3
 |  | [NAME] | Populated Place | Arizona | Maricopa |  | [NAME] | Populated Place | Arizona | Maricopa
 |  | [NAME] | Populated Place | Arizona | Maricopa |  | [NAME] | Populated Place | Arizona | Maricopa
 |  | [NAME] | Populated Place | Arizona | Pima |  | [NAME] | Populated Place | Arizona | Pima
 |  | [NAME] | Populated Place | Arizona | Pinal |  | [NAME] | Populated Place | Arizona | Pinal
 |  | [NAME] | Populated Place | Arkansas | White |  | [NAME] | Populated Place | Arkansas | White |  | Apache
 |  | [NAME] | Populated Place | Arkansas | Boone |  | [NAME] | Populated Place | Arkansas | Boone |  | Maricopa |  |  | Maricopa
 |  | Keiser | Populated Place | Arkansas | Mississippi |  | Keiser | Populated Place | Arkansas | Mississippi |  |  |  |  | Maricopa
 |  | [NAME] | Populated Place | Arkansas | Union |  | [NAME] | Populated Place | Arkansas | Union |  |  |  |  | Maricopa
 |  | Kent | Populated Place | Arkansas | Ouachita |  | Kent | Populated Place | Arkansas | Ouachita |  |  |  |  | Pima
 |  | Kenyon | Populated Place | Arkansas | [NAME] |  | Kenyon | Populated Place | Arkansas | [NAME] |  |  |  |  | Pinal
 |  | Ora CDP | Census | Indiana | Starke |  |  |  |  |  |  |  |  |  | White
 |  | Helmer CDP | Census | Indiana | Steuben |  |  |  |  |  |  |  |  |  | Boone
 |  | Holiday Woods CDP | Census | Indiana | Steuben |  |  |  |  |  |  |  |  |  | Mississippi
 |  | Jimmerson Lake CDP | Census | Indiana | Steuben |  |  |  |  |  |  |  |  |  | Union
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Ouachita
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | [NAME]