tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 824598d1680701946-extracting-and-finding-the-differences-if-any-by-highlighting-matching-and-extracting
Sheet: Sheet1

Section 1 |  |  |  |  |  |  |  | Expected Result
 |  | Code 1 & Code 4 | Code 2 & Code 5
 |  | 2022/08/04 A1 | 1245 | Science | 248
 |  | 2022/01/05 X1 | 3276 | Math | 276
 |  | Code 3
 |  | 1/3/22=P1/J1-R1 | Result X | school A | 34
 |  | 1/3/22=P2/J1-R4 | Result Y |  | 37
 |  | 2023/02/28=O1R4 | Process 3 | Oxford University | 74
Looking data
Section 2 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Code 1 | Code 2
 |  |  | 2023-03-01 00:00:00 | aa | bb | cc | school A |  |  |  |  |  |  |  |  |  |  |  |  | 2022/08/04 A1 | 1245 | Science | 248 | 1/3/22=P1/J1-R1 | Result X | 34
Section 3 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Code 3 |  |  |  |  |  | Code 4 | Code 5
 |  |  | 2023-03-01 00:00:00 | M1 | bb | cc | school A | 1st |  |  |  |  |  |  |  |  |  |  | 1/3/22=P1/J1-R1 | Result X | 33 |  |  |  | 2022/01/05 X1 | 3276 | Math | 276 | 2023/03/02=O1R1 | Process 3 | 74
 |  |  | 2023-03-01 00:00:00 | M1 | bb | cc | school A | 1st |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2023/03/02 B1 | 3276 | Math | -18 | 2023/03/02=O1R1 | Process 3 | 276
Spreadsheet: 842422d1694510480-subtracting-an-amount-from-a-total-amount-dependant-on-specific-criteria-balancetestsheet
Sheet: Sheet1

Bills b4 10/10 | Amount | DueDate | PaidDate | Status
[NAME] | 24.49 | 2023-09-08 00:00:00 | 2023-09-08 00:00:00
[NAME] | 20.87 | 2023-09-09 00:00:00 | 2023-09-11 00:00:00
[NAME] | 3 | 2023-09-11 00:00:00 | 2023-09-11 00:00:00
[NAME] | 13.25 | 2023-09-15 00:00:00
Bill 5 | 19.5 | 2023-09-15 00:00:00
Bill 6 | 121.76 | 2023-09-15 00:00:00
[NAME] | 201 | 2023-09-18 00:00:00
Total
Current bank balance |  | 6500
Spreadsheet: 10f21945-fedf-4882-b2da-87d46e326709
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
 | Time Series Workbook
 | 8731.0 Building Approvals, Australia
 | TABLE 81. Value of Building Approved, Chain Volume Measures, Original - Northern Territory
Related Information: | Summary Publication | Explanatory Notes | Inquiries
 | Glossary
Data Item Description |  |  | Series Type | Series ID | Series Start | Series End | No. Obs. | Unit | Data Type | [NAME]. | Collection Month
Value of Approval ($M) ;  Chain Volume Measures ;  Northern Territory ;  Total houses ;  New ; |  |  | Original | A590537T | 1985-09-01 00:00:00 | 2009-06-01 00:00:00 | 96 | $ Millions | FLOW | Quarter | 3
Value of Approval ($M) ;  Chain Volume Measures ;  Northern Territory ;  Total other residential building ;  New ; |  |  | Original | A590538V | 1985-09-01 00:00:00 | 2009-06-01 00:00:00 | 96 | $ Millions | FLOW | Quarter | 3
Value of Approval ($M) ;  Chain Volume Measures ;  Northern Territory ;  Total residential building ;  New ; |  |  | Original | A590539W | 1985-09-01 00:00:00 | 2009-06-01 00:00:00 | 96 | $ Millions | FLOW | Quarter | 3
Value of Approval ($M) ;  Chain Volume Measures ;  Northern Territory ;  Total residential building ;  Total alterations/additions (incl. refurb and conversion) ; |  |  | Original | A590540F | 1985-09-01 00:00:00 | 2009-06-01 00:00:00 | 96 | $ Millions | FLOW | Quarter | 3
Value of Approval ($M) ;  Chain Volume Measures ;  Northern Territory ;  Total residential building ;  Total (Type of Work) ; |  |  | Original | A590541J | 1985-09-01 00:00:00 | 2009-06-01 00:00:00 | 96 | $ Millions | FLOW | Quarter | 3
Value of Approval ($M) ;  Chain Volume Measures ;  Northern Territory ;  Total non-residential building ;  Total (Type of Work) ; |  |  | Original | A590542K | 1985-09-01 00:00:00 | 2009-06-01 00:00:00 | 96 | $ Millions | FLOW | Quarter | 3
Value of Approval ($M) ;  Chain Volume Measures ;  Northern Territory ;  Total building ;  Total (Type of Work) ; |  |  | Original | A590543L | 1985-09-01 00:00:00 | 2009-06-01 00:00:00 | 96 | $ Millions | FLOW | Quarter | 3
© Commonwealth of Australia  2009
Spreadsheet: 047c871c-3f04-4642-97d6-e11734ac6fb3
Sheet: Sheet1

GPA Calculator
Student Name |  |  |  | ID Number
 |  |  |  |  | Totals
Course | Grade | Units | Grade Points |  | Units | Grade Points
 |  |  |  |  | Cumulative GPA
 |  |  |  |  | Figuring out your Grade Point Average
 |  |  |  |  | [NAME]:  Total Grade Points / Units Attempted = Grade Point Average (GPA)
 |  |  |  |  | [NAME] Values:          A=4pts          B=3pts          C=2pts          D=1pts          F=0pts
 |  |  |  |  | Example
 |  |  |  |  | Classes |  | Units | Multiply | Grades | Point Value |  | [NAME]
 |  |  |  |  | Business 120 |  | 4 | X | A | 4 | = | 16
 |  |  |  |  | English 120 |  | 3 | X | B | 3 | = | 9
 |  |  |  |  | History 114 |  | 3 | X | C | 2 | = | 6
 |  |  |  |  | French 120 |  | 5 | X | A | 4 | = | 20
 |  |  |  |  | Totals |  | 15 units attempted |  |  | 51 total grade points
 |  |  |  |  | 51 total grade points / 15 units attempted = 3.4 Grade Point Average
Spreadsheet: 138335d1327613513-formula-needed-for-demographic-study-county-city-sample
Sheet: INCOMPLETE LIST

City | County
Adger
Alabaster
Albertville
Alexander City
Andalusia
Anniston
Arab
Athens
Atmore
Auburn
Auburn University
Autaugaville
Axis
Bay Minette
Bessemer
Birmingham
[NAME]
Boaz
Brewton
Brookwood
Bucks
Butler
Calhoun County
Camden
Carrollton
Centre
Centreville
Chelsea
Cherokee
Childersburg
Clanton
[NAME]
Cottonwood
Cowarts
Crossville
Cullman
Daleville
[NAME]
Decatur
Demopolis
Dothan
Eight Mile
Elba
Enterprise
Eufaula
Evergreen
Fairfield
Fairhope
Fayette
Florence
[NAME]
Fruitdale
[NAME]
[NAME]
Fultondale
[NAME]
Gardendale
Gordo
Grand Bay
Greenville
Guin
Gulf Shores
Guntersville
Haleyville
[NAME]
[NAME]
Hayneville
[NAME]
Headland
Heflin
Helena
Huntsville
Ider
Jacksonville
Jasper
[NAME]
Kellyton
Laceys Spring
[NAME]
Leeds
Leesburg
Lincoln
Linden
[NAME]
Locust Fork
[NAME]
[NAME]
Millry
Mobile
[NAME]
Montevallo
Montgomery
Moulton
Muscle Shoals
[NAME]
Newton
Normal
Northport
[NAME]
Oneonta
Opelika
Opp
Orange Beach
Oxford
Ozark
Paint Rock
[NAME]
Pell City
Phenix City
Piedmont
Pinson
Pleasant Grove
Prattville
Ragland
Rainbow City
Rainsville
Ramer
Reform
Roanoke
Robertsdale
Saraland
Scottsboro
Selma
Semmes
Shannon
Sheffield
Spanish Fort
Springville
Sulligent
Sumiton
Summerdale
Sylacauga
Tallassee
Theodore
Toney
Troy
Trussville
Tuscaloosa
Tuscumbia
Tuskegee
Union Springs
Valley
Vernon
Walnut Grove
Warrior
Wedowee
Wetumpka
Winfield
York
Spreadsheet: 06ae1e1b-00ee-4f39-a433-d7b1a36003f6
Sheet: Region Data

Idaho Department of Health and Welfare Division of Behavioral Health
Mental Health Public Dashboard for March, 2014
* means on report is that count is less then 5, for details please contact  Idaho Department of Health and Welfare Central Office.
Report Run Date: 4/18/2014
 |  | Mental Health Dashboard |  | Region 1 | Region 2 | Region 3 | Region 4 | Region 5 | Region 6 | Region 7 | State Wide
Admission / Discharge | Monthly | Adult Mental Health | AMH Admission | 14 | 7 | 18 | 25 | 5 | 10 | 31 | 110
 |  |  | AMH Discharge | 23 | * | 20 | 27 | 11 | 5 | 37 | 127
 |  | Children Mental Health | CMH Admission | * | * | 6 | 14 | 10 | 12 | 10 | 59
 |  |  | CMH Discharge | 11 | 5 | 5 | 9 | * | 13 | 12 | 59
 | SFY 2014 | Adult Mental Health | AMH Admission | 133 | 76 | 153 | 202 | 85 | 83 | 290 | 1022
 |  |  | AMH Discharge | 172 | 94 | 229 | 208 | 116 | 117 | 334 | 1270
 |  | Children Mental Health | CMH Admission | 56 | 31 | 71 | 129 | 77 | 64 | 97 | 525
 |  |  | CMH Discharge | 68 | 31 | 63 | 140 | 86 | 59 | 146 | 593
Adult Mental Health | Number of adult served this Month |  |  | 343 | 199 | 585 | 702 | 235 | 260 | 559 | 2883
 | Number of adults served SFY 2014 |  |  | 1018 | 547 | 1950 | 2713 | 921 | 806 | 1419 | 9374
Children's Mental Health | Number of children served this Month |  |  | 75 | 70 | 81 | 138 | 73 | 74 | 150 | 661
 | Number of children served SFY 2014 |  |  | 166 | 122 | 188 | 346 | 165 | 151 | 383 | 1521
Pre-Sentence Investigation Reports  (I.C. 19-2524) | Monthly |  |  | 10 | 6 | 69 | 67 | 58 | 21 | 48 | 279
 | SFY 2014 |  |  | 285 | 132 | 529 | 837 | 434 | 296 | 453 | 2966
Spreadsheet: benjamin_rogers__1037__CFTejon8a revised 21 - 750 MW
Sheet: Returns

Project Returns
Equity Investor
Equity Investor Cash Flows |  |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
 | IRR
 |  | XNPV(Assumptions!L34,Returns!D18:V18,Returns!D3:V3)
Developer (ECT)
 |  | NPV
Development Cash Flows
Promote
Development Fee
Closing Costs Not Spent
Sale of Air Pollution Offsets
Total
 | IRR
 | NPV
ECT as Developer and Equity Investor
Development Cash Flows
Development Fee
Equity Investment Cash Flows
Total
 | IRR
[NAME]
[NAME]) |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
[NAME] 12/99 Payment
[NAME] (AFC Filing) |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
[NAME] Payments |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
[NAME] |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
Fixed Rent Payment |  |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
Spark Spread Payment |  |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
Total
Spreadsheet: 836011d1689045448-excel-formula-for-merge-duplicate-data-and-sum-the-value-qmedical-supplies
Sheet: Consolidated Data

START DATE |  | 2023-07-01 00:00:00
END DATE: |  | 2023-07-31 00:00:00
STOCK OUT |  |  | STOCK IN |  | MONTHLY TOTAL CONSUMPTION
Item Name | Item Code | Quantity | Item Name | Quantity
 | 131230010 | 108 | Crepe Bandage 5cm | 80
Crepe Bandage 7.5cm | 131230012 | 55 | Crepe Bandage 7.5cm | 7
[NAME] | 131230013 | 26 | [NAME] | 38
[NAME] 15cm | 131230014 | 22 | [NAME] 15cm | 47
Spreadsheet: 853510d1703355158-avg-times-per-day-in-pivot-admissions_data-deidentified-new-e_dylan_s-
Sheet: Intake_Wait_Times_LIne

Row Labels | Average of Arrival_Intake_sanstext
Apr,2023 | 02:10:00
Aug,2023 | 06:29:49.091000
Feb,2023 | 02:48:20
Jan,2023 | 01:53:00
Jul,2023 | 09:19:22.500000
Jun,2023 | 04:26:48
Mar,2023 | 04:16:40
May,2023 | 05:43:00
Nov,2023 | 12:08:30
Oct,2023 | 08:19:00
Sep,2023 | 10:18:00
Dec,2023 | 00:02:00
(blank)
Grand Total | 06:07:05
Spreadsheet: 100379d1298752733-lookup-or-index-database-type-project-test
Sheet: Sheet1

Bookmarks | Assessors | Reg of Deeds | Public Records | Miscellaneous Directories | Tools | Banking
Bing Maps |  |  |  |  | x
MapQuest Maps - Driving Directions - Map |  |  |  |  | x
Bank of America Home Personal |  |  | x |  | x | x
FDIC Institution Directory |  |  | x |  | x | x
The National Information Center(NIC) - Home Page |  |  | x |  | x
Georgia Assessors | x
Murray County Assessor | x
Tennessee Assessors | x
Anderson County Assessor | x
Bledsoe County Assessor | x
Blount County Assessor | x
[NAME] of Deeds |  | x
Blount County Reg of Deeds |  | x
Coffee County Reg of Deeds |  | x
U.S. BBB |  |  | x |  | x
Free Public Records Directory at SearchSystems.net - Search our Free Public Records Locator |  |  | x |  | x
Georgia Secretary of State - Corporation Search |  |  |  |  | x
Zip Code, Area Code, City, County & Time Zone Cross Refs -- Zip Code Maps & Surrounding Zips |  |  |  |  | x
Spreadsheet: 44336d1242925233-vlookup-to-return-multiple-values-test
Sheet: RESULTS

Analyst | Stock | Market [NAME] | RIC | Date | Event | Event 2 | Event 3 | Status |  | KEY
 |  |  |  |  | VLOOKUP
 |  |  | AGA.L | 2009-05-08 00:00:00 | #N/A | #N/A | #N/A |  |  |  | Initiating
 |  |  | INF.L | 2009-05-09 00:00:00 | #N/A | #N/A | TRADE
 |  |  |  |  |  |  |  |  |  |  | Small cap
 |  |  |  |  |  |  |  |  |  |  | Mid Cap
 |  |  |  |  |  |  |  |  |  |  | Large Cap
Spreadsheet: 834190d1687523101-multilevel-bill-of-material-cost-sum-bom-sample
Sheet: Sheet1

 |  |  |  | 1 | 2 | 3 | 4 | 5 | 6
Level | Part Number(unique but random) | Name | Cost | Level 1 | Level 2 | Level 3 | Level 4 | Level 5 | Level 6
1 | X1 | Bicycle
2 | X2 | Front Wheel
3 | X3 | Rim | 1
3 | X4 | Hub | 1
3 | X5 | Spokes | 1
3 | X6 | Tire | 1
3 | X7 | Tube | 1
2 | X8 | Rear Wheel
3 | X9 | Rim | 1
3 | X10 | Hub | 1
3 | X11 | Spokes | 1
3 | X12 | Tire | 1
3 | X13 | Tube | 1
2 | X14 | Frame painted
3 | X15 | Frame unpainted | 1
3 | X16 | Paint | 1
2 | X17 | [NAME]
3 | X18 | Handlebar Assembled
4 | X19 | [NAME]
5 | X20 | [NAME]
6 | X21 | Alloy tube | 1
6 | X22 | Bending | 1
5 | X22 | Paint | 1
4 | X23 | Grips | 1
3 | X24 | Stem | 1
2 | X25 | Rest of the Bike | 1
Spreadsheet: vkaminski__40688__Hedacount
Sheet: Sheet2

 |  |  | Skills Summary
 | PhD | PHD/ABD | MBA | MS/MA | BBA |  | Total
Finance
Mechanical Engineering
Economics
Political Science
International Development and Commerce
Physics
Mathematics
Mathematical Finance
Industrial Enginnering, OR
OR
Electrical Engineering
Engineering and Materials |  |  |  | 1
Nuclear Engineering | 1
Law and Diplomacy |  |  |  | 1
Meteorologist
Total
Spreadsheet: 216097d1361580047-vlookup-formula-issue-fishing-orders
Sheet: Orders

Fishing Division Order Form
Customer Name:
Ship to State abbreviation |  |  |  |  | MA
Ship Method (truck,rail,air, boat)
Freight Customer Type (regular, preferred) |  |  |  |  | Regular
Item# | Description | Quantity | Volume (cf) | $/unit | Total
213 |  | 250
218 |  | 400
201 |  | 25
 |  | Total Order
 |  | Discount
 |  | Shipping
 |  | Grand Total
Spreadsheet: 0f3399f6-f342-45a8-8d9a-e4c47cf7f7ab
Sheet: Sheet1

Table 5--Wheat: National average price received by farmers (dollars per bushel) 1/, 8/14/2012 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8
Month | All wheat |  | Winter |  | Durum |  | Other spring
 | 2011/12 | 2012/13 | 2011/12 | 2012/13 | 2011/12 | 2012/13 | 2011/12 | 2012/13
June | 7.41 | 6.7 | 7.13 | 6.54 | 9.18 | 8.31 | 9.26 | 7.78
July | 7.1 | 8.31 | 6.77 | 8.26 | 10.2 | 8.62 | 8.45 | 8.68
August | 7.59 |  | 7.27 |  | 10.2 |  | 8.28
September | 7.54 |  | 7 |  | 10.8 |  | 8.09
October | 7.27 |  | 6.53 |  | 9.6 |  | 8.19
November | 7.3 |  | 6.44 |  | 10.3 |  | 8.43
December | 7.2 |  | 6.41 |  | 10.3 |  | 8.25
January | 7.05 |  | 6.57 |  | 8.84 |  | 8.09
February | 7.1 |  | 6.68 |  | 8.98 |  | 8.01
March | 7.2 |  | 6.7 |  | 8.39 |  | 8.04
April | 7.11 |  | 6.47 |  | 9.22 |  | 7.96
May | 6.67 |  | 6.42 |  | 8.95 |  | 7.93
1/ Preliminary mid-month, weighted-average price for current month. Source: USDA, National Agricultural Statistics Service, Agricultural Prices.
Date run: 8/13/2012
Spreadsheet: 192997d1352681547-vllookup-problem-order-of-merit-par3
Sheet: Standings

 | No | PLAYER |  | TOTAL |  |  | No | PLAYER |  | TOTAL
 | 1 |  |  |  |  |  | 1
 | 2 |  |  |  |  |  | 2
 | 3 |  |  |  |  |  | 3
 | 4 |  |  |  |  |  | 4
 | 5 |  |  |  |  |  | 5
 | 6 |  |  |  |  |  | 6
 | 7 |  |  |  |  |  | 7
 | 8 |  |  |  |  |  | 8
 | 9 |  |  |  |  |  | 9
 | 10 |  |  |  |  |  | 10
 | 11 |  |  |  |  |  | 11
 | 12 |  |  |  |  |  | 12
 | 13 |  |  |  |  |  | 13
 | 14 |  |  |  |  |  | 14
 | 15 |  |  |  |  |  | 15
 | 16 |  |  |  |  |  | 16
 | 17 |  |  |  |  |  | 17
 | 18 |  |  |  |  |  | 18
 | 19 |  |  |  |  |  | 19
 | 20 |  |  |  |  |  | 20
 | 21 |  |  |  |  |  | 21
 | 22 |  |  |  |  |  | 22
 | 23 |  |  |  |  |  | 23
 | 24 |  |  |  |  |  | 24
 | 25 |  |  |  |  |  | 25
 | 26 |  |  |  |  |  | 26
 | 27 |  |  |  |  |  | 27
 | 28 |  |  |  |  |  | 28
 | 29 |  |  |  |  |  | 29
 | 30 |  |  |  |  |  | 30
 | 31 |  |  |  |  |  | 31
 | 32 |  |  |  |  |  | 32
 | 33 |  |  |  |  |  | 33
 | 34 |  |  |  |  |  | 34
 | 35 |  |  |  |  |  | 35
 | 36 |  |  |  |  |  | 36
 | 37 |  |  |  |  |  | 37
 | 38 |  |  |  |  |  | 38
 | 39 |  |  |  |  |  | 39
 | 40 |  |  |  |  |  | 40
 | 41 |  |  |  |  |  | 41
 | 42 |  |  |  |  |  | 42
 | 43 |  |  |  |  |  | 43
 | 44 |  |  |  |  |  | 44
 | 45 |  |  |  |  |  | 45
 | 46 |  |  |  |  |  | 46
 | 47 |  |  |  |  |  | 47
 | ORDER OF MERIT |  |  |  |  |  | PAR 3
 | No | PLAYER |  | TOTAL |  |  | No | PLAYER |  | TOTAL
 | 1 |  |  |  | 15 |  | 1
 | 2 |  |  |  | 12 |  | 2
 | 3 |  |  |  | 10 |  | 3
 | 4 |  |  |  | 9 |  | 4
 | 5 |  |  |  | 8 |  | 5
 | 6 |  |  |  | 7 |  | 6
 | 7 |  |  |  | 6 |  | 7
 | 8 |  |  |  | 5 |  | 8
 | 9 |  |  |  | 4 |  | 9
 | 10 |  |  |  | 3 |  | 10
 | 11 |  |  |  | 2 |  | 11
 | 12 |  |  |  | 1 |  | 12
 | 13 |  |  |  |  |  | 13
 | 14 |  |  |  |  |  | 14
 | 15 |  |  |  |  |  | 15
 | 16 |  |  |  |  |  | 16
 | 17 |  |  |  |  |  | 17
 | 18 |  |  |  |  |  | 18
 | 19 |  |  |  |  |  | 19
 | 20 |  |  |  |  |  | 20
 | 21 |  |  |  |  |  | 21
 | 22 |  |  |  |  |  | 22
 | 23 |  |  |  |  |  | 23
 | 24 |  |  |  |  |  | 24
 | 25 |  |  |  |  |  | 25
 | 26 |  |  |  |  |  | 26
 | 27 |  |  |  |  |  | 27
 | 28 |  |  |  |  |  | 28
 | 29 |  |  |  |  |  | 29
 | 30 |  |  |  |  |  | 30
 | 31 |  |  |  |  |  | 31
 | 32 |  |  |  |  |  | 32
 | 33 |  |  |  |  |  | 33
 | 34 |  |  |  |  |  | 34
 | 35 |  |  |  |  |  | 35
 | 36 |  |  |  |  |  | 36
 | 37 |  |  |  |  |  | 37
 | 38 |  |  |  |  |  | 38
 | 39 |  |  |  |  |  | 39
 | 40 |  |  |  |  |  | 40
 | 41 |  |  |  |  |  | 41
 | 42 |  |  |  |  |  | 42
 | 43 |  |  |  |  |  | 43
 | 44 |  |  |  |  |  | 44
 | 45 |  |  |  |  |  | 45
 | 46 |  |  |  |  |  | 46
 | 47 |  |  |  |  |  | 47
Spreadsheet: michelle_lokay__26574__imbalsumm0012
Sheet: Continental

 | Contintental
 | 500204 |  | 500205
Day | Measured | Scheduled | Measured | Scheduled
1 | 6188 | 6546 | 3125 | 2754
2 | 6334 | 6546 | 1812 | 2733
3 | 6939 | 6546 | 2006 | 2738
4 | 6807 | 6295 | 2497 | 3004
5 | 6573 | 7471 | 903 | 3647
6 | 6768 | 7471 | 4368 | 3647
7 | 6935 | 7471 | 4015 | 3647
8 | 5156 | 7471 | 2736 | 3647
9 | 6608 | 7437 | 4783 | 3647
10 | 7241 | 7403 | 3618 | 3647
11 | 6667 | 7389 | 2891 | 3647
12 | 12863 | 7471 | 2671 | 3647
13 | 8057 | 7457 | 2295 | 3647
14 | 5798 | 7471 | 2648 | 3647
15 | 6590 | 7471 | 3194 | 3647
16 | 6633 | 7471 | 3458 | 3647
17 | 6718 | 7471 | 3506 | 3647
18 | 6666 | 7471 | 3730 | 3647
19 | 6379 | 7471 | 3674 | 3647
20 | 6530 | 7471 | 3333 | 3647
21 | 7007 | 7471 | 2856 | 3647
22 | 6962 | 7471 | 3011 | 3647
23 | 6701 | 7471 | 2984 | 3647
24 | 14022 | 7471 | 2420 | 3647
25 | 19658 | 7471 | 2702 | 3647
26 | 18677 | 7471 | 2226 | 3647
27 | 7900 | 7471 | 2746 | 3647
28 | 6561 | 7348 | 2616 | 3647
29 | 6403 | 3613 | 3275 | 1824
30 | 6335 | 3612 | 3150 | 1824
31 | 6134 | 3612 | 2861 | 1824
2000-11-30 00:00:00 |  |  |  |  | -282710.67
2000-12-31 00:00:00
Spreadsheet: 750447d1633455292-nested-if-and-functions-across-multiple-columns-excel-formula-needed
Sheet: Sheet1

Previous - Jan | Current - Jan | Diff - Jan | Previous - Feb | Current - Feb | Diff - Feb | Previous - Mar | Current - Mar | Diff - Mar | Reason | Output Need in Reason Column
24643 | 24645 | 2 | 24643 | 24643 | 0 | 24643 | 24650 | 7 |  | Jan,Mar
21165 | 21165 | 0 | 21165 | 21170 | 5 | 21180 | 21170 | -10 |  | Feb
21319 | 21319 | 0 | 21319 | 21319 | 0 | 21319 | 21319 | 0 |  | No Difference
Spreadsheet: 48883d1248181957-copying-data-to-another-sheet-example
Sheet: ALL

Date | Time | Incident Ref | Category | User Escalated | Impact | Users Affected | Closed By | Date Opened | Time Opened | Date Closed | Time Closed | Days Taken | Time Taken | Impact Time | Status
Example1 | Example | Example | Example1 | Example | Example | Example | Example | Example | Example | Example | Example1 | Example | Example | Example | Open
Example2 | Example | Example | Example2 | Example | Example | Example | Example | Example | Example | Example | Example2 | Example | Example | Example | Closed
Example3 | Example | Example | Example3 | Example | Example | Example | Example | Example | Example | Example | Example3 | Example | Example | Example | Open
Example | Example | Example | Example4 | Example | Example | Example | Example | Example | Example | Example | Example | Example | Example | Example | Open
Example | Example | Example | Example5 | Example | Example | Example | Example | Example | Example | Example | Example | Example | Example | Example | Closed
Example | Example | Example | Example | Example | Example | Example | Example | Example | Example | Example | Example | Example | Example | Example | Open
Example | Example | Example | Example | Example | Example | Example | Example | Example | Example | Example | Example | Example | Example | Example | Open
Example | Example | Example | Example | Example | Example | Example | Example | Example | Example | Example | Example | Example | Example | Example | Closed
Spreadsheet: 103602d1301345967-automated-shipping-estimator-daily_rates-1-
Sheet: UPS WW Express letter-doc(IFC)

 |  |  |  |  |  |  |  |  |  |  |  | 2011 Rates
 | Import Freight Collect
 | UPS Worldwide Express
 |  |  |  |  |  |  |  |  |  |  |  |  | Letter / Document
 | Zones | 91 | 94 | 951 | 952 | 953 | 954 | 955 | 956 | 957 | 958 | 959 | 962 | 970 | 971
 | Letter | 36.2 | 34.4 | 59.9 | 47.9 | 67.9 | 49.6 | 80.7 | 47.7 | 71.1 | 84 | 49.8 | 45.7 | 45.3 | 45
 | 1 Lbs. | 50.2 | 38.9 | 70.4 | 59.7 | 87.7 | 61.7 | 107.2 | 62.6 | 92.5 | 111.4 | 63.3 | 60.9 | 55.4 | 56.7
 | 2 | 58.2 | 43.9 | 82 | 69.7 | 100 | 73.1 | 135.9 | 76.8 | 105.9 | 139.4 | 75.4 | 73.3 | 66.2 | 65.3
 | 3 | 65.6 | 50.4 | 94.2 | 79.5 | 112.7 | 84 | 169.5 | 90.9 | 120.4 | 169.1 | 89.2 | 86.8 | 76.4 | 75.5
 | 4 | 72.4 | 55.6 | 104.7 | 89 | 124.8 | 92 | 202 | 104 | 133.3 | 198 | 98.6 | 100.1 | 86 | 88.1
 | 5 | 79.2 | 60.3 | 116.9 | 98.5 | 136.9 | 101.2 | 231.1 | 119.3 | 146.6 | 226.6 | 110.3 | 112.2 | 96.7 | 99.3
 | 6 | 88.1 | 63.7 | 126.7 | 108.6 | 150.1 | 110.4 | 260.2 | 133 | 160.9 | 255 | 120.7 | 124.9 | 104.5 | 107.6
 | 7 | 92.3 | 67.3 | 134.7 | 118.2 | 161.8 | 120.1 | 286.4 | 147.1 | 175.6 | 283.7 | 130.3 | 137.1 | 115.4 | 118.8
 | 8 | 99.5 | 71.5 | 144.8 | 129.2 | 172.3 | 129.7 | 315.1 | 161.2 | 189.6 | 311.5 | 141.9 | 146.9 | 124.5 | 127.9
 | 9 | 103.6 | 75.2 | 153.2 | 134.2 | 183.6 | 139.9 | 343.9 | 174.7 | 201.9 | 338.9 | 152.2 | 159.3 | 132 | 137.8
 | 10 | 108.7 | 77.8 | 160.5 | 142.1 | 195.6 | 150.1 | 372 | 187.9 | 216.4 | 368.4 | 162.8 | 172.3 | 140.4 | 142.6
 | DAILY RATES
Spreadsheet: eric_saibi__9963__110901R
Sheet: George Neal South 04

Owner Name |  | MidAmerican Energy
Station Name |  | [NAME]
Unit Name |  | [NAME] 04
NERC Region |  | MAPP
State |  | IA
Fuel Type |  | Coal
Capacity |  | 640 MW
Start Date |  | 2001-11-16 00:00:00
End Date |  | 2001-12-02 00:00:00
Prv. Start Date |  | 2001-11-10 00:00:00
Prv. End Date |  | 2001-12-01 00:00:00
Comments |  | [NAME]
SIC |  | 4911
Plant ID |  | 1013065
Unit ID |  | 1005485
Outage ID |  | 12666
Spreadsheet: 90189d1289945453-excel-2007-vlookup-in-multiple-sheets-vlookupproblem
Sheet: A

PRODUCTS | QTY | NUMER | PRICE | SELECTED QTY | FINAL NUMER
A1 | 1 | 30.25
A2 | 1 | 26.25
A3 | 2 | 17
A4 | 1 | 11
A5 | 2 | 1
A6 | 2 | 7
A7 | 1 | 10
A8 | 1 | 12
A9 | 2 | 35.25
A10 | 3 | 16
Spreadsheet: 129604d1321732096-make-a-real-time-video-of-data-plotting-book1
Sheet: Sheet1

X | Y |  | X | Y
0 | 0
1 | 1
2 | 4
3 | 9
4 | 16
5 | 25
6 | 36
7 | 49
8 | 64
9 | 81
10 | 100
 | Time interval |  | 2
Spreadsheet: 64202d1265097744-before-and-after-scenario-of-similer-data-finder-temp_avk
Sheet: Sheet1

 |  |  |  |  |  |  | sr.no | formula to display in this col
 |  |  |  |  |  |  | 03.1111/0820250 | 03.1111/0820250 | H2 & H3 total12 digit common only 1 digit difference in sr.no. now I require those sr.no. In H3 & H4 total 13 digit common, in H5 & H6 total 10 digit common & in H8 & H9 total 11 digit common. Now I require of those similar who is similer / nearest upto 10 or 11 or 12 or 13 digit to display in other col suppose in I2 .... I9 col. But in case (refer col : H10 & H11) in this col total similar no is 09 those no not require in I 10 & I11 col.
 |  |  |  |  |  |  | 03.1111/0820258 | 03.1111/0820258
 |  |  |  |  |  |  | 03.1111/0900368 | 03.1111/0900368
 |  |  |  |  |  |  | 03.1111/0900386 | 03.1111/0900386
 |  |  |  |  |  |  | 03.1112/0603284 | 03.1112/0603284
 |  |  |  |  |  |  | 03.1112/0603577 | 03.1112/0603577
 |  |  |  |  |  |  | 03.1114/0800391 | 03.1114/0800391
 |  |  |  |  |  |  | 03.1114/0800193 | 03.1114/0800193
 |  |  |  |  |  |  | 03.1114/0800391
 |  |  |  |  |  |  | 03.2115/0800673