tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 887716d1738051866-concatenate-navin_concatenate_20250128
Sheet: Sheet1

 | CONCOTENATE Formula | Dependant Value | Sector 1 | Sector 2 | Sector 3 | Sector 4 | Sector 5 | Sector 6 | Sector 7 | Sector 8 | Sector 9 | Sector 10 | Sector 11 | Sector 12
 | Concatenate Column "D" onwards, with "," as separator and number of columns depends on value in column "C" |  | Agri | Chemicals | Small Caps
 | Concatenate Column "D" onwards, with "," as separator and number of columns depends on value in column "C" |  | ETF | Services | Paper | General Insurance | Banks | Rating Agency | Broking | Exchanges
 | Concatenate Column "D" onwards, with "," as separator and number of columns depends on value in column "C" |  | ALL
 | Concatenate Column "D" onwards, with "," as separator and number of columns depends on value in column "C" |  | Banks | NBFC | Insurance | Financial Services | IT | Metals | Minerals | Travel | Consumer Staples | QSR | Retail | Cement
 | Concatenate Column "D" onwards, with "," as separator and number of columns depends on value in column "C" |  | Auto
 | Concatenate Column "D" onwards, with "," as separator and number of columns depends on value in column "C" |  | Auto | Auto Ancs
 | Concatenate Column "D" onwards, with "," as separator and number of columns depends on value in column "C" |  | Auto | Auto Ancs | AMC | Insurance | Rating Agency
 | Concatenate Column "D" onwards, with "," as separator and number of columns depends on value in column "C" |  | Auto Ancs | Construction | [NAME]
 | Concatenate Column "D" onwards, with "," as separator and number of columns depends on value in column "C" |  | Auto Ancs | Metals
 | Concatenate Column "D" onwards, with "," as separator and number of columns depends on value in column "C" |  | Auto | Auto Ancs | Telecom
 | Concatenate Column "D" onwards, with "," as separator and number of columns depends on value in column "C" |  | Auto Ancs | Media | Mid Caps | Agri Chemicals
 | Concatenate Column "D" onwards, with "," as separator and number of columns depends on value in column "C" |  | Auto Ancs | Infra | Construction | Agri Chemicals
 | Concatenate Column "D" onwards, with "," as separator and number of columns depends on value in column "C" |  | Auto | Auto Ancs | Banks | NBFC | Cement
 | Concatenate Column "D" onwards, with "," as separator and number of columns depends on value in column "C" |  | Auto | Auto Ancs | Banks | NBFC | Cement | Real Estate
 | Concatenate Column "D" onwards, with "," as separator and number of columns depends on value in column "C" |  | Auto | Auto Ancs | Consumer Durables | EMS | Insurance
 | Concatenate Column "D" onwards, with "," as separator and number of columns depends on value in column "C" |  | Auto | Auto Ancs | Sugar | Aviation
 | Concatenate Column "D" onwards, with "," as separator and number of columns depends on value in column "C" |  | Auto | Auto Ancs | Logistics
 | Concatenate Column "D" onwards, with "," as separator and number of columns depends on value in column "C" |  | Auto | Auto Ancs | Logistics | [NAME] | Consumer Durables | Services
Spreadsheet: 45203d1243970933-column-references-book1
Sheet: Sheet1

job1 | job2 | job all
1
2
3
4
5
Spreadsheet: 60249d1260823411-how-to-combine-multiple-pivot-tables-into-one-table-vlookups-pivot-help
Sheet: Exec Overview Overall (2)

 | Date for Completion | Classification | # Of Types | Step 1 |  |  |  | Step 2 |  |  |  |  | Step 3
 |  |  |  | Not Started | Started | Complete | Cancelled | Not Submitted | Pending Approval | Approved | Not Approved | Cancelled | Not Submitted | Pending Approval | Approved | Not Approved | Cancelled
 | Date of Completion | Classification | Count of Random Data Types
 | 2009-09-18 00:00:00 | Classification A | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
 |  | Classification B | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
 |  | Classification C | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
 |  | Classification D | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
 | 2009-09-22 00:00:00 | Classification D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
 | 2009-09-28 00:00:00 | Classification A | 18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
 |  | Classification B | 17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
 |  | Classification C | 25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
 |  | Classification D | 18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
 | 2009-10-02 00:00:00 | Classification C | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
 | 2009-10-12 00:00:00 | Classification D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
 | 2009-10-24 00:00:00 | Classification A | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
 | 2009-10-30 00:00:00 | Classification B | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
 | 2010-02-15 00:00:00 | Classification A | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
 |  | Classification C | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
 |  | Classification D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
 | 2010-12-12 00:00:00 | Classification B | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
 |  | Classification C | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
 |  | Grand Total | 100 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
 |  | % of Total |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
Spreadsheet: 2bc32a6a-417d-4b5e-a096-f650e1024456
Sheet: Sheet1

Never | Rarely | Sometimes | Often | Always | Unnamed: 5 | Unnamed: 6 | Reading and Notemaking Survey
4 | 3 | 2 | 1 | 0 |  | 1 | I highlight and/or underline as much as a third of each page of my textbooks.
0 | 1 | 2 | 3 | 4 |  | 2 | I rewrite/organize my notes immediately (within one or two days) following the lecture.
4 | 3 | 2 | 1 | 0 |  | 3 | I don’t understand some parts of what I am studying.
0 | 1 | 2 | 3 | 4 |  | 4 | I make notes on a separate sheet of paper or in a notebook as I read my textbooks.
0 | 1 | 2 | 3 | 4 |  | 5 | I condense my notes into outlines, tables, charts, diagrams, or cards to facilitate review.
0 | 1 | 2 | 3 | 4 |  | 6 | I organize my condensed notes so that supporting details are placed into the context of main ideas covered in the lecture or text.
0 | 1 | 2 | 3 | 4 |  | 7 | I write condensed noted in a format that I can review easily and quickly.
0 | 1 | 2 | 3 | 4 |  | 8 | I design condensed notes so that I can use them later to test myself  over the information.
0 | 1 | 2 | 3 | 4 |  | 9 | I use flash cards to memorize important details that my self-test reveals I do not recall easily.
4 | 3 | 2 | 1 | 0 |  | 10 | I get lost in the details of the subject I’m studying and “can’t see the forest for the trees”.
4 | 3 | 2 | 1 | 0 |  | 11 | I find it hard to distinguish the more important information from less important details.
0 | 1 | 2 | 3 | 4 |  | 12 | I note relationships among themes or topics I study.
0 | 1 | 2 | 3 | 4 |  | 13 | I see how details fit into the “big picture” of the topic I’m studying.
0 | 1 | 2 | 3 | 4 |  | 14 | I organize my notes so that the relationships among details “jump up” at me as I  review them
4 | 3 | 2 | 1 | 0 |  | 16 | When I am studying, I am not sure how to organize the material so that I will see and remember meaningful associations on the test.
Spreadsheet: 10100372-619b-4bc7-8379-41f4b52ca6b3
Sheet: FORMA 1 

 |  |  |  | ფორმა N1
 | ფინანსური მდგომარეობის შესახებ ანგარიში (ბალანსი)
 | დასახელება | ანგარიში | ____________31 დეკემბერი (საანგარიშო წელი) | ____________31 დეკემბერი (საანგარიშო წლის წინა წელი)
010 | აქტივები
020 | [NAME]
030 | ფულადი სახსრები
040 | მოთხოვნები და დებიტორული დავალიანებები
050 | [NAME] აქტივები
060 | მათ შორის:
070 | მატერიალური მარაგები
080 | [NAME]
090 | გრძელვადიანი აქტივები
100 | გრძელვადიანი ფინანსური აქტივები
110 | ძირითადი აქტივები
120 | ფასეულობები
130 | არაწარმოებული არაფინანსური აქტივები
140 | გრძელვადიანი მცირეფასიანი აქტივები
150 | სულ გრძელვადიანი აქტივები
160 | სულ აქტივები
170 | ბალანსი
180 | ვალდებულებები
190 | მოკლევადიანი ვალდებულებები და სხვა კრედიტორული დავალიანებები
200 | მოკლევადიანი ვალდებულებები
210 | ფინანსური ვალდებულებები
220 | [NAME] კრედიტორული დავალიანებები
230 | მათ შორის:
240 | მომუშავეთათვის გადასახდელები
250 | ვალდებულებები წინასწარ მიღებული თანხებით
260 | ვალდებულებები მოწოდებიდან და მომსახურებიდან
270 | სხვადასხვა კრედიტორული დავალიანებები
280 | ბიუჯეტის წინაშე ვალდებულებები
290 | [NAME] ვალდებულებები და კრედიტორული დავალიანებები
300 | გრძელვადიანი ვალდებულებები
310 | გრძელვადიანი სესხები
320 | ფინანსური ვალდებულებები
330 | კრედიტორული დავალიანებები
340 | სულ გრძელვადიანი ვალდებულებები
350 | სულ ვალდებულებები
360 | კაპიტალი
370 | აქტივების წმინდა ღირებულება
380 | გაუნაწილებელი მოგება
390 | დაუფარავი ზარალი
400 | სულ კაპიტალი
410 | ბალანსი
Spreadsheet: 172818d1344346830-populating-a-data-grid-data-fill-example
Sheet: Sheet1

Item Name | 2006-04-04 00:00:00 | 2006-08-01 00:00:00 | 2006-10-01 00:00:00 | 2007-04-01 00:00:00 | 2007-06-01 00:00:00 | 2007-10-01 00:00:00 | 2008-01-01 00:00:00 | 2008-04-01 00:00:00 | 2008-07-01 00:00:00 | 2008-10-01 00:00:00 | 2009-01-01 00:00:00 | 2009-04-01 00:00:00 | 2009-04-04 00:00:00 | 2009-06-01 00:00:00 | 2009-10-01 00:00:00 | 2010-04-01 00:00:00 | 2010-07-01 00:00:00 | 2010-10-01 00:00:00 | 2011-04-01 00:00:00 | 2011-09-01 00:00:00 | 2011-10-01 00:00:00 | 2012-04-01 00:00:00
A | 0.0225 | I need to fill each cell here with 2.25% |  |  |  | 0.0255 | From here until the next change fill these with 2.55% |  |  |  |  |  | 0.026 | etc… |  |  |  | 0.0265 | etc… |  | 0.02 | etc…
 |  |  |  |  |  | indicate a change here |  |  |  |  |  |  | indicate a change here |  |  |  |  | indicate a change here |  |  | indicate a change here
Spreadsheet: 829131d1683948635-help-with-daily-schedule-with-auto-days-off-example-tennfox-
Sheet: Friday

 | Primary | Trainee |  |  |  |  | Off
211
212
213
214
314
315
316
Spreadsheet: 835999d1689029777-multicriteria-lookup-needed-accruallookupsample
Sheet: Sheet1

 |  |  |  |  |  |  |  |  | Desired
 | Lookup Table |  |  |  | Actual Data |  |  |  | Results
 | PTO |  | Accrual |  | Employee | PTO | Actual |  | Accrual
 | Plan | Tenure | Factor |  | ID | Plan | Tenure |  | Factor
 | 26 | 0 | 0.14231 |  | A | 26 | 0.42 |  | 0.14231
 | 31 | 1 | 0.12308 |  | B | 26 | 4.8 |  | 0.14231
 | 31 | 5 | 0.14231 |  | C | 31 | 0.6 |  | 0
 | 36 | 1 | 0.10385 |  | D | 31 | 1.8 |  | 0.12308
 | 36 | 5 | 0.12308 |  | E | 31 | 5.9 |  | 0.14231
 | 36 | 10 | 0.14231 |  | F | 36 | 0.27 |  | 0
 |  |  |  |  | G | 36 | 2.9 |  | 0.10385
 |  |  |  |  | H | 36 | 5.4 |  | 0.12308
 |  |  |  |  | J | 36 | 9.9 |  | 0.12308
 |  |  |  |  | K | 36 | 10.5 |  | 0.14231
 | Need to find the accrual factor in the lookup table where the plan in column G is the same as column B
 | AND the last match where actual tenure in column H is > than the tenure in column C
 | If it's not found then return 0
Spreadsheet: 58953d1259252402-if-or-statements-test
Sheet: Sheet1

yes | 2009-11-16 00:00:00 | 2009-11-01 00:00:00 | 2009-11-16 00:00:00 | 2009-11-30 00:00:00
no | 2009-11-15 00:00:00 | 2009-11-01 00:00:00 | 2009-11-16 00:00:00 | 2009-11-30 00:00:00
yes | 2009-11-21 00:00:00 | 2009-11-01 00:00:00 | 2009-11-16 00:00:00 | 2009-11-30 00:00:00
yes | 2009-11-30 00:00:00 | 2009-11-01 00:00:00 | 2009-11-16 00:00:00 | 2009-11-30 00:00:00
no | 2009-11-29 00:00:00 | 2009-11-01 00:00:00 | 2009-11-16 00:00:00 | 2009-11-30 00:00:00
Spreadsheet: b3991153-a204-4272-afd3-b741efe1809b
Sheet: Sheet1

2015-2016 Class Schedule | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11 | Unnamed: 12 | Unnamed: 13 | Unnamed: 14 | Unnamed: 15 | You may select up to three classroom attributes.  Select only course requirements, as the number of available classrooms will be reduced with each attribute selected. | Unnamed: 17 | Unnamed: 18 | Unnamed: 19 | Unnamed: 20 | Unnamed: 21 | Unnamed: 22
Chinese
Winter 2016
Subject | Course and Title | Subtitle/Alternate Title | Days | Times | Sec | Part of Term | Credits | Hamline Plan | Instructor(s) | Instructor ID | FT or Adj | [NAME] | Registration Approval Required? | [NAME] | Campus: [NAME], [NAME], Online, Blended |  |  |  | Cross list? SUBJ CRSE SEC | XLST total enrl | Areas of Study | Comments
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Classroom Attribute A | Classroom Attribute B | Classroom Attribute C
Spreadsheet: 850939d1701246524-data-printing-by-following-specific-formula-in-specific-cell-0_excel_test-excel-2019-onwards-aligw
Sheet: Sheet1

% Release of Dissolution |  |  |  |  |  |  |  |  |  | Limit
Vessel No. |  | Sample Absorbance |  |  | Average Standard Absorbance |  | Calculation Factor |  | Result (%) |  |  | HELPER |  | RESULT
1 |  | 0.578
2 |  | 0.578
3 |  | 0.3 |  |  |  |  |  |  |  |  |  |  |  | RESULT w/o HELPER
4 |  | 0.575
5 |  | 0.578 |  |  |  |  |  |  |  | Not less
6 |  | 0.577 |  |  |  |  |  |  |  | than |  |  |  | RESULT for 2016
7 |  | 0.578 |  |  |  |  |  |  |  | 75
8 |  | 0.2 |  |  |  |  |  |  |  | %
9 |  | 0.576 |  |  |  |  |  |  |  | to
10 |  | 0.578 |  |  |  |  |  |  |  | Not more
11 |  | 0.579 |  |  |  |  |  |  |  | than
12 |  | 0.45 |  |  |  |  |  |  |  | 115
Average |  |  |  |  |  |  |  |  |  | %
Minimum
 |  |  |  |  |  |  |  |  |  | Number of units which is Q-15% :
Maximum
SD
%RSD
Spreadsheet: chris_stokley__3946__SP15 DJ Charts
Sheet: Weekend 99 & 00 vs AVG

Historical Scalers Broken Down into Weekend
 |  |  |  |  |  |  |  | Region | West
 |  |  |  |  |  |  |  | Wholesale Hub | SP 15 Dow Jones
Note:  An arbitrary price of $100 was used for this comparison to show the relative movements of the scalers on Weekdays and Weekends
 |  | Forward Price |  |  |  |  |  |  |  |  |  |  |  |  |  | East
 |  | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec |  |  | West
 | On | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50
 | Off | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50
AVG WE Scaler
 |  | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec
Hour
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
Historical 99 [NAME]
 |  | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec
Hour
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
Historical 00 [NAME]
 |  | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec
Hour
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
Curve Generator Purposal
 |  | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec
Hour
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
 |  | Forward Price
 |  | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec
 | On | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60
 | Off | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40
Spreadsheet: 140283d1328682447-multiple-reference-fields-but-only-want-to-display-mark-the-last-known-update-excel-pricing-model
Sheet: Sheet1

ID | COUNT | REFERENCE FIELD | OLD VALUE | NEW VALUE | TIME/DATE
1329 | 4 | ApplicationPages_1 | Text 1 | Text 2 | 2012-01-31 15:35:11 | Last one
1329 | 4 | ApplicationPages_1 | Text 3 | Text 1 | 2011-12-23 11:42:49
1329 | 4 | ApplicationPages_1 | Text 2 | Text 3 | 2011-12-22 15:53:26
1329 | 4 | ApplicationPages_1 | Text 1 | Text 2 | 2011-12-21 09:17:25
1330 | 4 | ApplicationPages_2 | Text 1 | Text 2 | 2012-01-31 15:35:11 | Last one
1330 | 4 | ApplicationPages_2 | Text 3 | Text 1 | 2011-12-23 11:42:49
1330 | 4 | ApplicationPages_2 | Text 2 | Text 3 | 2011-12-22 15:53:27
1330 | 4 | ApplicationPages_2 | Text 1 | Text 2 | 2011-12-21 09:17:25
Spreadsheet: 97464d1296637886-data-model-in-excel-data-model
Sheet: Department

 | Description |  |  |  |  | Department |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Version
 | Table Name |  |  |  |  | Department |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | C | U | 1.00
 | [NAME] |  |  |  |  | dno
 | Foreign Key
 | Index |  |  |  |  | No |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | ; | N; N
 |  | Label |  |  |  |  |  |  |  | FieldName |  |  |  |  |  |  |  |  |  |  | Type |  |  |  |  |  | Null |  |  | Default |  |  | Memo
 | 1 | dno |  |  |  |  |  |  |  | dno |  |  |  |  |  |  |  |  |  |  | int IDENTITY (1,1) |  |  |  |  |  | No
 |  | eno |  |  |  |  |  |  |  | eno |  |  |  |  |  |  |  |  |  |  | int IDENTITY (1,1) |  |  |  |  |  | No
 |  | dname |  |  |  |  |  |  |  | dname |  |  |  |  |  |  |  |  |  |  | nvarchar(10) |  |  |  |  |  | No
Spreadsheet: 776920d1649984570-min-function-not-working-with-result-from-index-match-min-index-problem
Sheet: Sheet1

Category | 1 | 2 | 3 | First week | Min
Groceries | 5 | 0 | 0
Rent | 0 | 8 | 0 |  |  |  | [NAME] with IFNA
Utilities | 0 | 0 | 0 |  |  |  | Result with IFNA and INDEX/MATCH
Category | 1 | 2 | 3 | First week | Min
Groceries | 5 | 0 | 0 |  |  |  | [NAME] without IFNA
Rent | 0 | 8 | 0 |  |  |  | Result without IFNA and INDEX/MATCH
Utilities | 0 | 0 | 0
Category | 1 | 2 | 3 | First week | Min
Groceries | 5 | 0 | 0 | 1 |  |  | Manually entered value
Rent | 0 | 8 | 0 | 2 |  |  | Result with manually entered value
Utilities | 0 | 0 | 0 | 3
Spreadsheet: 078824a8-08a3-4b3e-92b3-2416623d3509
Sheet: Table V.2

Table V.2 الجدول
Total Oil Consumption and per capita Consumption in the ESCWA Region
مجموع استهلاك [NAME] من [NAME] في منطقة الإسكوا
 | Oil consumption (000 TOE)a/ |  | Oil consumption per capita
 |  |  | ([NAME]
 | [NAME] (ألف [NAME]) |  | [NAME] من استهلاك النفط
 |  |  | (كغم مكافئ نفط)
 | 2008 | 2009 | 2008 | 2009
Bahrain | 2191 | 2241 | 2082 | 1916 | البحرين
Egypt | 34511 | 35856 | 441 | 450 | مصر
Iraq | 30478 | 31673 | 1022 | 1031 | العراق
Jordan | 4731 | 4781 | 809 | 793 | الأردن
Kuwait | 18426 | 20866 | 7231 | 7885 | الكويت
Lebanon | 4631 | 4880 | 1111 | 1163 | لبنان
Oman | 5080 | 5727 | 1926 | 2112 | عمان
Palestinec/ | 372 | 497 | 97 | 126 | فلسطين
Qatar | 9860 | 10408 | 7063 | 6514 | قطر
Saudi Arabia | 119022 | 130177 | 4549 | 4856 | المملكة العربية السعودية
The Sudan | 4283 | 4582 | 103 | 108 | السودان
The Syrian Arab Republic | 13695 | 14093 | 695 | 703 | الجمهورية العربية السورية
The United Arab Emirates | 23655 | 22659 | 3811 | 3266 | الإمارات العربية المتحدة
Yemen | 7420 | 8018 | 328 | 344 | اليمن
ESCWA | 278355 | 296458 | 1133 | 1175 | [NAME]
Sources: | a/ | BP Statistical Review 2010 and OAPEC Annual Statistical Report 2010.
 | [NAME] | ESCWA Calculation, Population based on the United Nations: World Population Prospects: The 2010 Revision.
 | c/ | PCBS reply to ESCWA on the preliminary tables for the Compendium of Environment Statistics 2010-2011.
Spreadsheet: 125439d1319032740-secondary-axis-for-extreme-values-libro_forum
Sheet: TABLA pruebas scale

 |  | DATOS PARA GRÁFICO |  |  | Source Data |  |  | Under 10 |  |  | Over 10
 |  |  |  | MIN |  |  |  | 0 | 0.055 | 0.105
 |  |  |  | MAX |  |  |  | 0.055 | 0.105 | 1
 |  | VARIABLE | VALUE DIF | STAT SIG | de 0 a 0,055 | de 0,055 a 0,105 | de 0,105 a 1 | de 0 a 0,055 | de 0,055 a 0,105 | de 0,105 a 1 | de 0 a 0,055 >10 | de 0,055 a 0,105 > 10 | de 0,105 a 1 > 10
 |  | GDP growth | 1 | 0.09166846726876399 | #N/A | 1 | #N/A | #N/A | 1 | #N/A | #N/A | #N/A | #N/A
 |  | Banks assets vis-a-vis Government (%total assets) | 12 | 0.579074551959649 | #N/A | #N/A | 12 | #N/A | #N/A | #N/A | #N/A | #N/A | 12
 |  | Banks assets vis-a-vis Central bank (%total assets) | 3 | 0.001 | 3 | #N/A | #N/A | 3 | #N/A | #N/A | #N/A | #N/A | #N/A
 |  | Banks assets vis-a-vis Government (%GDP) | 4 | 0.022 | 4 | #N/A | #N/A | 4 | #N/A | #N/A | #N/A | #N/A | #N/A
 |  | Banks assets vis-a-vis Central bank (%GDP) | 5 | 0.5049642630236821 | #N/A | #N/A | 5 | #N/A | #N/A | 5 | #N/A | #N/A | #N/A
 |  | Banks liabilities vis-a-vis Central bank (% total liabilities) | 18 | 0.07 | #N/A | 18 | #N/A | #N/A | #N/A | #N/A | #N/A | 18 | #N/A
 |  | Banks foreign liabilities (%total assets) | 7 | 0.3722639405677866 | #N/A | #N/A | 7 | #N/A | #N/A | 7 | #N/A | #N/A | #N/A
 |  | Short term external debt (%total external debt) | 8 | 0.3694301226820387 | #N/A | #N/A | 8 | #N/A | #N/A | 8 | #N/A | #N/A | #N/A
 |  | Governement debt (% GDP) | -16 | 0.036 | -16 | #N/A | #N/A | #N/A | #N/A | #N/A | -16 | #N/A | #N/A
 |  | Private credit (%GDP) | -2 | 0.08 | #N/A | -2 | #N/A | #N/A | -2 | #N/A | #N/A | #N/A | #N/A
 |  | Total banks assets (%GDP) | -13 | 0.02662015450283217 | -13 | #N/A | #N/A | #N/A | #N/A | #N/A | -13 | #N/A | #N/A
 |  | REER growth rate | -4 | 0.05 | -4 | #N/A | #N/A | -4 | #N/A | #N/A | #N/A | #N/A | #N/A
 |  | Public debt (%total credit) | -5 | 0.03 | -5 | #N/A | #N/A | -5 | #N/A | #N/A | #N/A | #N/A | #N/A
 |  | Net capital flows (%GDP) | -11 | 0.2613456065585156 | #N/A | #N/A | -11 | #N/A | #N/A | #N/A | #N/A | #N/A | -11
 |  | GRÁFICO
Spreadsheet: 746925d1631113079-count-distinct-values-and-return-required-group-categories-count-distinct-values
Sheet: Sheet1

Site | User | Output
Boston | A1 | Medium
Boston | A1 | Medium
Boston | A2 | Medium
Boston | A3 | Medium
Chicago | B1 | Small
Chicago | B1 | Small
Chicago | B1 | Small
Chicago | B1 | Small
Chicago | B2 | Small
LA | C1 | Small
LA | C1 | Small
LA | C2 | Small
Denver | D1 | Large
Denver | D2 | Large
Denver | D3 | Large
Denver | D4 | Large
Denver | D5 | Large
Spreadsheet: 841098d1693347341-calculating-hourly-census-with-emergency-room-data-census-spudster656-1-
Sheet: Monthly Average Census

 | Average Census
hour: | 0
2023-01-01 00:00:00
Spreadsheet: 80870d1281032090-if-statement-test-wbk
Sheet: Sheet1

02/21/09 | 393 | 02/23/09 | PR | 145.00 | 0.00 | 330.00 | 0.00 | 0.00 |  | 471.09 | 0 | 0 | 0 | 0 | 231.09 | 393
02/14/09 | 393 | 02/15/09 | PR | 213.00 | 0.00 | 240.00 | 0.00 | 0.00 |  | 332.76 | 0 | 0 | 0 | 0 | 212.76 | 393
02/07/09 | 393 | 02/09/09 | PR | 303.00 | 0.00 | 120.00 | 0.00 | 0.00 |  | 332.76 | 0 | 0 | 0 | 0 | 92.75999999999999 | 393
01/31/09 | 393 | 02/05/09 | PR | 213.00 | 0.00 | 240.00 | 0.00 | 0.00 |  | 496.45 | 0 | 0 | 0 | 0 | 136.45 | 393
01/24/09 | 393 | 02/05/09 | PR | 123.00 | 0.00 | 360.00 | 0.00 | 0.00 |  | 496.45 | 0 | 0 | 0 | 0 | 16.44999999999999 | 0
01/17/09 | 393 |  | EE | 0.00 | 0.00 | 480.00 | 0.00 | 0.00 |  | 501.83 | 0 | 0 | 0 | 0 | 21.82999999999998 | 393
01/10/09 | 393 |  | EE | 0.00 | 0.00 | 480.00 | 0.00 | 0.00 |  | 501.83 | 0 | 0 | 0 | 0 | 21.82999999999998 | 393
01/03/09 | 393 |  | EE | 0.00 | 0.00 | 480.00 | 0.00 | 0.00 |  | 327.38 | 0 | 0 | 0 | 0 | no overpayment | 0
12/27/08 | 393 |  | EE | 0.00 | 0.00 | 480.00 | 0.00 | 0.00 |  | 327.38 | 0 | 0 | 0 | 0 | 327.38 | 0