tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 100470d1298838086-vlookup-and-if-function-connor-phillips-cs111-project-2-1-
Sheet: Sheet1

 | NBA Regular Season Scoring 2010-2011
Player | Games | Points (Total) | Points (Per Game) | Avg. >22.00 Points (Per Game)
[NAME] | 47 | 1363
[NAME] | 52 | 1322
[NAME] | 50 | 1320
Amar'e Stoudemire | 50 | 1314
Monta Ellis | 50 | 1260
[NAME] | 52 | 1224
[NAME] | 48 | 1211
[NAME] | 49 | 1206
Blake Griffin | 51 | 1154
[NAME] | 51 | 1147
[NAME] | 51 | 1142
LaMarcus Aldridge | 52 | 1122
[NAME] | 52 | 1111
[NAME] | 45 | 1106
[NAME] | 49 | 1070
[NAME] | 54 | 1049
[NAME] | 51 | 1021
[NAME] | 50 | 1011
[NAME] | 52 | 1007
[NAME] | 48 | 1001
[NAME] | 41 | 997
[NAME] | 52 | 977
[NAME] | 46 | 974
[NAME] | 52 | 973
[NAME] | 42 | 971
[NAME] | 51 | 969
[NAME] | 51 | 937
[NAME] | 47 | 934
[NAME] | 49 | 919
[NAME] | 53 | 905
[NAME] | 51 | 893
[NAME] | 51 | 890
[NAME] | 50 | 888
[NAME] | 52 | 887
[NAME] | 53 | 884
[NAME] | 48 | 875
[NAME] | 43 | 866
[NAME] | 52 | 853
[NAME] | 50 | 860
[NAME] | 49 | 852
Top 40:
Maximum
Minimum:
Spreadsheet: 12368ef2-5a09-45a6-a83a-cbcdbae924c0
Sheet: Sheet1

Appendix table 3--Regional shares of milk production, selected years | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9
Region | 1975 | 1980 | 1985 | 1990 | 1995 | 1997 | 1998 | 1999 | 2000 1
 | Percent
Northeast | 20.41200092202797 | 20.35660466257286 | 20.0549882772321 | 18.42885719991471 | 18.2963816785045 | 18.27779948875976 | 18.46543966240435 | 18.14203888984488 | 17.59892161423851
Lake States | 27.95287258509261 | 28.72540506442481 | 28.74088452531706 | 26.70651669876558 | 24.41578178024766 | 23.69643349072016 | 23.82108447517604 | 23.35603136753608 | 22.93776616683964
Corn Belt | 13.56005053822517 | 12.36707150394648 | 11.80108284392322 | 11.35590523996331 | 10.27090725274159 | 9.521368945038471 | 9.46882070315479 | 9.029843408146709 | 9.013587183432941
Northern Plains | 4.589342257824672 | 4.090946260090105 | 3.838131405480508 | 3.641336172027579 | 3.022673269239438 | 2.832962822968653 | 2.863716094262399 | 2.913050959954768 | 3.046081904830071
Appalachian | 6.891812495558841 | 6.553457601115217 | 6.075701180947374 | 5.465050551548363 | 4.75488270559523 | 4.389747006553869 | 4.18244909372855 | 3.952899530470267 | 3.847117346025839
Southeast | 3.791233455057202 | 3.540346791998785 | 3.119312115111777 | 3.33467595899012 | 3.096726832503719 | 3.061675561050925 | 2.881511045580497 | 2.822094938420315 | 2.750241563182192
Delta States | 2.285138884796764 | 2.000693116727866 | 1.842498861985997 | 1.696447006339675 | 1.509404802534564 | 1.321664926228931 | 1.188448534458652 | 1.095774232404926 | 1.057509930930823
Southern Plains | 3.698510716842089 | 3.687536748815277 | 3.60178809794682 | 4.592456700322568 | 4.769049474219701 | 4.495454574575088 | 4.347687927396598 | 4.22023648565599 | 4.193059681017309
Mountain | 4.403030213747575 | 4.774717593872537 | 5.462467214358486 | 6.421315931099611 | 8.960481154978009 | 10.2139136785593 | 10.72400030505631 | 11.24228717520096 | 11.90160922831001
Pacific | 12.4160079308271 | 13.90322065643605 | 15.46314547769667 | 18.3574385410285 | 20.90371104943558 | 22.18897950554484 | 22.05684215878181 | 23.22635758007817 | 23.65350892889096
United States | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100.0006145677131 | 99.99940354769828
1 Preliminary data.
Source:  Compiled by Economic Research Service from U.S. Department of Agriculture, National
Agricultural Statistics Service, Final Estimates, various years, except for 1998, 1999, and 2000.   Data for 1998,
1999, and 2000 are from Milk Production, February 1999, 2000, and 2001.
Spreadsheet: 810293d1671661772-lookup-data-excel-help
Sheet: Sheet1

 |  | REPORT |  |  |  |  |  |  |  |  |  |  |  | DATA SOURCE EXAMPLE, pulled as of 28-Dec, though the data source does not contain that information
 |  | as of: | 2022-03-01 00:00:00 | 2022-03-02 00:00:00 | 2022-03-03 00:00:00 | 2022-03-04 00:00:00 | 2022-03-05 00:00:00 | 2022-03-06 00:00:00 | 2022-03-07 00:00:00 | 2022-03-08 00:00:00 | 2022-03-09 00:00:00 | 2022-03-10 00:00:00 |  | 2022-03-01 00:00:00 | 2022-03-02 00:00:00 | 2022-03-03 00:00:00 | 2022-03-04 00:00:00 | 2022-03-05 00:00:00 | 2022-03-06 00:00:00 | 2022-03-07 00:00:00 | 2022-03-08 00:00:00 | 2022-03-09 00:00:00 | 2022-03-10 00:00:00
 |  | 2022-12-21 00:00:00 |  | 5 | 10 | 10 | 18 | 19 | 8 | 3 |  |  |  |  | 8 | 12 | 13 | 20 | 24 | 10 | 5
 |  | 2022-12-22 00:00:00
 |  | 2022-12-23 00:00:00
 |  | 2022-12-24 00:00:00
 |  | 2022-12-25 00:00:00
Spreadsheet: mark_haedicke__24590__2002 Plan Budget Pack - Legal Group 021001(HCODE)
Sheet: Expense Detail (3)

 | 2001 Budget Template - $US
 | Summary  Region - Cost Center Head
 |  |  |  |  | 2000 |  | 2001 |  | 2002
 | Average Headcount ( 2001 = Year End) |  |  |  |  |  |  |  |  | Comments
 | Audit & Legal
 | Statutory Reporting
 | Enron Assurance Services
 | Regulatory |  |  |  |  |  |  |  |  | - See Methodology on separate sheet
 | Company Secretariate
 | Compliance
 | Total Audit & Legal
 | Occupancy
 | Lease Rent Expense
 | Sub Let Income
 | Rates / Local Tax
 | Utilities
 | Service Charge
 | Other
 | Total Occupancy
 | General & Admin
 | Annual Subscriptions |  |  |  |  |  |  |  |  | - Includes Company Return Fees & SFA Annual registration fee of $223K
 | Publications
 | Training |  |  |  |  |  |  |  |  | - Training and Management Courses
 | Insurance
 | Recruitment Advertising
 | Other Advertising
 | Other Business Expenses
 | Total G&A
 | Communications
 | Communications Costs |  |  |  |  |  |  |  |  | - Telecomminication and IT charges
 | Total Communication
 | Other Taxes & Income
 | Total G&A Excluding Salary Costs
 | Total Costs
Spreadsheet: 878134d1725110582-formula-for-intersection-of-rows-and-columns-extend-excel-8-365-wip-aligw
Sheet: Sheet1

Modules(columns) | T/F |  |  |  |  | Modules(columns) | Analytics | Systems Analyst | Business Analyst | Development | Product Manager | Department Manager | Team Leader
d3 | FALSE |  |  |  |  | d3 | 1 | 2 | 3 | 4 | 5 | 6 | 7
Administration | FALSE |  |  |  |  | Administration | 1 | 2 | 3 | 4 | 5 | 6 | 7
Obstetrics | FALSE |  |  | 22.5 |  | Obstetrics | 1 | 2 | 3 | 4 | 5 | 6 | 7
Pharmacy | FALSE |  | Systems Analyst | 45 |  | Pharmacy | 1 | 2 | 3 | 4 | 5 | 6 | 7
BARS - Healthcare Monitoring | TRUE |  |  |  |  | BARS - Healthcare Monitoring | 1 | 2 | 3 | 4 | 5 | 6 | 7
BARS.STAR | TRUE |  |  |  |  | BARS.STAR | 1 | 2 | 3 | 4 | 5 | 6 | 7
Vaccination | TRUE |  |  |  |  | Vaccination | 1 | 2 | 3 | 4 | 5 | 6 | 7
VIMIS RF AKiNEO | TRUE |  |  |  |  | VIMIS RF AKiNEO | 1 | 2 | 3 | 4 | 5 | 6 | 7
VIMIS RF Oncology | TRUE |  |  |  |  | VIMIS RF Oncology | 1 | 2 | 3 | 4 | 5 | 6 | 7
VIMIS RF Prevention | FALSE |  |  |  |  | VIMIS RF Prevention | 1 | 2 | 3 | 4 | 5 | 6 | 7
VIMIS RF CVD | FALSE |  |  |  |  | VIMIS RF CVD | 1 | 2 | 3 | 4 | 5 | 6 | 7
HMP | FALSE |  |  |  |  | HMP | 1 | 2 | 3 | 4 | 5 | 6 | 7
Outside ARM | FALSE |  |  |  |  | Outside ARM | 1 | 2 | 3 | 4 | 5 | 6 | 7
Military registration | FALSE |  |  | Hard-50% |  | Military registration | 1 | 2 | 3 | 4 | 5 | 6 | 7
Hospital physician | FALSE |  |  |  |  | Hospital physician | 1 | 2 | 3 | 4 | 5 | 6 | 7
Diagnostics | FALSE |  | Positions |  |  | Diagnostics | 1 | 2 | 3 | 4 | 5 | 6 | 7
Dispensary registration | FALSE |  | Analytics | TRUE |  | Dispensary registration | 1 | 2 | 3 | 4 | 5 | 6 | 7
Remote monitoring | FALSE |  | Systems Analyst | TRUE |  | Remote monitoring | 1 | 2 | 3 | 4 | 5 | 6 | 7
Health diary | FALSE |  | Business Analyst | FALSE |  | Health diary | 1 | 2 | 3 | 4 | 5 | 6 | 7
Unified registry | FALSE |  | Development | FALSE |  | Unified registry | 1 | 2 | 3 | 4 | 5 | 6 | 7
User information support | FALSE |  | Product Manager | FALSE |  | User information support | 1 | 2 | 3 | 4 | 5 | 6 | 7
IPRA | FALSE |  | Department Manager | FALSE |  | IPRA | 1 | 2 | 3 | 4 | 5 | 6 | 7
IEMC | FALSE |  | Team Leader | FALSE |  | IEMC | 1 | 2 | 3 | 4 | 5 | 6 | 7
Call center | FALSE |  |  |  |  | Call center | 1 | 2 | 3 | 4 | 5 | 6 | 7
Spreadsheet: 013b6081-6d33-444f-913f-e1c989b88ce1
Sheet: Sub Recipients

 | Recipient Report: Grant or Loan |  | Version: | 1.8 |  |  |  | Locate a State Code
 | Sub Recipient |  |  |  |  |  |  | Browse the State Drop-Down List: | Enter State Name: | Found State Code:
 |  |  |  |  |  |  |  | AK - Alaska | Alaska
 | Reporting Information |  |  |  |  |  |  | Locate a Country Code
 | [NAME] | Award Number* | Recipient DUNS Number* |  |  |  |  | Browse the Country Drop-Down List: | Enter Country Name: | Found Country Code:
 | Grant | B-09-MY-00-0000 | 123456789 |  |  |  |  | US - United States | United States
 | Sub Recipient Information |  |  | Sub Award Information |  |  | Sub Recipient Place of Performance |  |  |  |  |  |  | Sub Recipient Highly Compensated Officers
No. | Sub Recipient DUNS Number* | Sub Award Number* | Sub Recipient Congressional District* | Amount of Sub Award* | Total Sub Award Funds Disbursed* | Sub Award Date* | Street Address 1 | Street Address 2 | City* | State* | ZIP Code+4* | Congressional District* | Country* | Sub Recipient Indication of Reporting Applicability* | Officer 1 Name | Officer 1 Compensation | Officer 2 Name | Officer 2 Compensation | Officer 3 Name | Officer 3 Compensation | Officer 4 Name | Officer 4 Compensation | Officer 5 Name | Officer 5 Compensation
1 | 987654321 | award 2010-1 | 51 | 26000 | 26000 | 2010-10-17 00:00:00 |  |  | Springfield | AA | 123456789 | 51 | US | No
Spreadsheet: 2dbd3b45-df3d-494f-89ef-b36aea9c8c11
Sheet: Sheet1

Table 5--USDA-calculated world market rice prices (rough basis) 1/ | 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
 | 2012/13 |  |  | 2011/12 |  |  | 2010/11
 |  | Medium/ |  |  | Medium/ |  |  | Medium/
Month | Long | short |  | Long | short |  | Long | short
 | $/cwt
August | 11.91 | 12.13 |  | 14.08 | 14.4 |  | 9.58 | 9.68
September | 12.57 | 12.81 |  | 15.09 | 15.44 |  | 10.51 | 10.62
October | 12.72 | 12.97 |  | 15.63 | 15.99 |  | 12.15 | 12.29
November   2/ | 12.92 | 13.17 |  | 14.93 | 15.28 |  | 13.4 | 13.58
December |  |  |  | 13.9 | 14.21 |  | 14.5 | 14.67
January |  |  |  | 12.61 | 12.88 |  | 13.98 | 14.15
February |  |  |  | 11.81 | 12.2 |  | 12.68 | 13.35
March |  |  |  | 11.52 | 11.92 |  | 12.13 | 12.76
April |  |  |  | 11.15 | 11.54 |  | 11.76 | 12.36
May |  |  |  | 11.42 | 11.82 |  | 11.58 | 12.17
June |  |  |  | 11.93 | 12.35 |  | 11.78 | 12.39
July |  |  |  | 11.97 | 12.4 |  | 12.49 | 13.14
Market-year
average 1/ | 12.53 | 12.77 |  | 13.00333333333334 | 13.36916666666666 |  | 12.21166666666667 | 12.59666666666666
1/ Simple average of the U.S. Department of Agriculture's weekly adjusted world market price.  2/  Preliminary.
Source: [NAME] and Rice Weekly Prices (ftp://ftp.fsa.usda.gov/public/cotton/default.htm), Farm Service Agency, USDA.
Last updated November 9, 2012.
Spreadsheet: 812876d1673435348-dates-to-be-list-all-in-one-cell-mini-table-to-show-dates
Sheet: Date Summary

Row Labels | Count of Forename | Days By - 30-06-2023 | Days By - 31-12-2023 | Offered Days | Date in Whitespace | Compliance | Comments | Action
Aylesford | 100 | 10.69230769230769 | 0 | 14 | Click Here To See All Dates
Belper | 140 | 13.46153846153846 | 1.153846153846154 | 14 | Click Here To See All Dates
Birmingham | 30 | 2.307692307692307 | 0 | 0 | Click Here To See All Dates
[NAME] | 72 | 7.615384615384615 | 4.730769230769231 | 12 | Click Here To See All Dates
Burscough | 272 | 20.53846153846154 | 0 |  | Click Here To See All Dates
Central | 4 | 0.07692307692307693 | 0 | 0 | Click Here To See All Dates
Clay Cross | 148 | 16.11538461538462 | 0 | 20 | Click Here To See All Dates
Crumlin | 23 | 1.038461538461539 | 0 | 3 | Click Here To See All Dates
Devizes | 135 | 12.80769230769231 | 1.538461538461539 | 15 | Click Here To See All Dates
[NAME] | 59 | 5.846153846153846 | 0 | 8 | Click Here To See All Dates
Featherstone | 214 | 19.5 | 0 | 22 | Click Here To See All Dates
[NAME] | 211 | 22.65384615384615 | 4.961538461538462 | 9 | Click Here To See All Dates
Hinckley | 71 | 6.461538461538462 | 0 | 0 | Click Here To See All Dates
Industrial | 58 | 6.153846153846154 | 3 | 0 | Click Here To See All Dates
KETTERING | 45 | 4.192307692307693 | 0 | 9 | Click Here To See All Dates
[NAME] | 181 | 17.34615384615385 | 0 | 15 | Click Here To See All Dates
[NAME] | 129 | 7.846153846153846 | 0 | 15 | Click Here To See All Dates
Lockerbie | 101 | 7.230769230769231 | 0 | 10 | Click Here To See All Dates
London - Mill Street | 9 | 0.5384615384615384 | 0 | 1 | Click Here To See All Dates
Louth - Aries House | 54 | 1.269230769230769 | 1.730769230769231 | 8 | Click Here To See All Dates
Louth - Grimsby Road | 227 | 22.92307692307692 | 0.1538461538461539 | 24 | Click Here To See All Dates
Louth - Windsor Road | 82 | 9.153846153846153 | 0.2307692307692308 | 10 | Click Here To See All Dates
[NAME] | 28 | 4 | 0 | 3 | Click Here To See All Dates
Neath | 58 | 3.076923076923077 | 2.807692307692307 | 9 | Click Here To See All Dates
Newcastle | 21 | 1.615384615384615 | 0 | 5 | Click Here To See All Dates
PLC | 38 | 3.269230769230769 | 0 | 0 | Click Here To See All Dates
PLYMOUTH | 19 | 0.3846153846153846 | 0 | 2 | Click Here To See All Dates
Redditch | 26 | 2.192307692307693 | 1.961538461538461 | 0 | Click Here To See All Dates
Retail Marketing | 13 | 1.230769230769231 | 0.1538461538461539 | 0 | Click Here To See All Dates
Retail North | 84 | 6 | 0 | 0 | Click Here To See All Dates
Retail South | 86 | 8.461538461538462 | 0 | 0 | Click Here To See All Dates
Sheerness | 15 | 1.307692307692308 | 2.769230769230769 | 2 | Click Here To See All Dates
Wellingborough | 33 | 2.807692307692307 | 0 | 4 | Click Here To See All Dates
Wirral | 11 | 1.307692307692308 | 1.307692307692308 | 2 | Click Here To See All Dates
Spreadsheet: 700320d1603128789-count-consecutive-cells-in-reverse-above-value-test2
Sheet: week3

ID | Student | Grade | Total Full-Day Attended | Periods Present (P) | [NAME]  (PND) | [NAME]  (SKP) | Periods Family Activity  (FAM) | Periods Employment  (EMP) | Periods Transportation  (TRA) | Periods Medical Unexcused  (MDU) | Periods Medical Excused  (MDE) | Periods Family Emergency  (EME) | Periods Legal or Judicial Requirement  (LEG) | [NAME] Activity Excused  (ACE) | Periods Religious Observance  (REL) | Periods Present/Absent (PAA) | [NAME] (DIS) | Periods School Function (SCF) | [NAME] (RLC) | Periods Intervention (INT) | [NAME] (EEX) | Periods Made up Class (MUC) | [NAME] (TAR) | Periods Bus Tardy (BTR) | Periods Excused Tardy (EXT) | [NAME] (XTR) | Periods Unexcused Tardy (ATR) | Periods NovaNet (NOV) | Periods Office (OFF) | Periods Early Release (ERL) | Periods Early Release Excused (ERX) | [NAME] (ABS) | Periods Quarantine Present (QP) | Periods Quarantine Absent (QA) | Total Periods Missed
1
2
3
4
5
6
7
8
9
Spreadsheet: 55508d1255618956-formula-to-count-multiple-ifs-and-take-an-average-example
Sheet: Sheet2

Month | EPC | Submission Lag Time | Overal Company Lag Time | Lag Time Per Rejection | Internal Process Time
May | Company A
 | Company B
 | Company C
June | Company A
 | Company B
 | Company C
July | Company A
 | Company B
 | Company C
August | Company A
 | Company B
 | Company C
September | Company A
 | Company B
 | Company C
October | Company A
 | Company B
 | Company C
November | Company A
 | Company B
 | Company C
December | Company A
 | Company B
 | Company C
Spreadsheet: 484236d1476185149-updating-holiday-planner-for-this-year-proposed-holiday-planner-based-on-2015-16
Sheet: APR

 |  | Days
1
 |  | Entitlement | Taken | Remaining
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1 | 1
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1 | 1
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1 |  |  |  |  |  |  | 1 |  |  |  |  |  |  |  |  |  |  |  | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1 | 1 | 1 | 1 |  |  |  |  | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1
 |  |  |  |  | 1 | 1 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1 | 1
 |  |  |  |  |  | Toil |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1
 |  | 26 |  |  |  |  |  |  |  |  | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1 | 1 | 1 | 1
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1 | 1 | 1 | 1 | 1 | 1 | 1
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1 | 1
Entering '1' in the relevant row/column represents 0.5 of a day
Spreadsheet: 29ed36b8-9629-4021-a5e9-3471f46cceba
Sheet: Sheet1

SPA Project Abstract | 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 | Unnamed: 16 | Unnamed: 17 | Unnamed: 18 | Unnamed: 19 | Unnamed: 20 | Unnamed: 21 | Unnamed: 22 | Unnamed: 23 | Unnamed: 24 | Unnamed: 25 | Unnamed: 26 | Unnamed: 27 | Unnamed: 28 | Unnamed: 29 | Unnamed: 30 | Unnamed: 31 | Unnamed: 32 | Unnamed: 33 | Unnamed: 34 | Unnamed: 35 | Unnamed: 36 | Unnamed: 37 | Unnamed: 38 | Unnamed: 39 | Unnamed: 40 | Unnamed: 41
Country | ProgramElement | FY | ProjCode | CountryCode | ProjNo | EnvAsses | Title | CommGroup | StartDate | EndDate | VolLast1 | VolFirst1 | COS1 | VolLast2 | VolFirst2 | COS2 | NoPCVs | Sector
Project Classification
Ag | [NAME] | Env | Health | MunDevl | SED | YD | WatSan | HIVAIDS | ICT | NGO | Volunteerism | FoodSec | DirMale | DirFemale | DirBoys | DirGirls | IndirMale | IndirFemale | IndirBoys | indirGirls
Project Cost Breakdown
SPAlab | SPAEquip | SPAMat | SPALand | SPATrav | SPATrans | SPAOther | CommLab | CommEquip | CommMat | CommLand | CommTrav | CommTrans | CommOther | CommLabInkind | CommEquipInkind | CommMatInkind | CommLandInkind | CommTravInkind | CommTransInkind | CommOtherInkind | ThirdLab | ThirdEquip | ThirdMat | ThirdLand | ThirdTrav | ThirdTrans | ThirdOther | ThirdLabInkind | ThirdEquipInkind | ThirdMatInkind | ThirdLandInkind | ThirdTravInkind | ThirdTransInkind | ThirdOtherInkind | ThirdNameLab | ThirdNameEquip | [NAME] | ThirNameLand | ThirdNameTrav | ThirdNameTrans | ThirdNameOther
What will SPA Funds Purchase
Labor | Equipment | Materials | Land | Travel | Transport | Other
Questionnaire
projectgoal | objective | buildingskills | sustainbenefits
Spreadsheet: 70735d1271428952-conditional-formatting-test2
Sheet: Sheet1

January | Feb | March | April | Average
10 | 20 | 50 | 80 | 40
20 | 30 | 40 | 50 | 35
30 | 40 | 30 | 20 | 30
40 | 50 | 20 | -10 | 25
50 | 60 | 10 | -40 | 20
60 | 70 | 0 | -70 | 15
70 | 80 | -10 | -100 | 10
Spreadsheet: 043b820a-db5f-4161-8b19-d1b12d8c4399
Sheet: MD Spring

Team | Tournament | PPB
St. Anselm's | Maryland Spring | 22.08
RM A | Maryland Spring | 21.14
Sid Academy B | Maryland Spring | 18.45
GDS | Maryland Spring | 18.1
[NAME] | Maryland Spring | 17.38
Sid Academy A | Maryland Spring | 17.11
Blair A | Maryland Spring | 16.6
Whitman A | Maryland Spring | 15.94
RM B | Maryland Spring | 15.71
[NAME] | Maryland Spring | 14.88
The Avengers/ Nondescript | Maryland Spring | 13.61
Blair B | Maryland Spring | 12.83
Paint Branch | Maryland Spring | 12.62
Oakland Mills | Maryland Spring | 11.58
Whitman B | Maryland Spring | 11.1
Gonzaga A | Maryland Spring | 10.98
[NAME] | Maryland Spring | 9.02
Gonzaga B | Maryland Spring | 6
Spreadsheet: 711390d1609670642-column-e-calculates-the-total-quantity-help0103
Sheet: Sheet1

Date | Name | Currency | Qty | Total
2021-01-01 12:00:00 | a | USD | 1 | 1
2021-01-01 14:24:00 | c | GBP | 2 | 2
2021-01-01 19:12:00 | c | USD | 4 | 12
2021-01-01 21:36:00 | c | USD | 5 | 0
2021-01-02 00:00:00 | b | USD | 5 | 10
2021-01-02 02:24:00 | b | USD | 5 | 0
2021-01-02 04:48:00 | c | USD | 5 | 5
2021-01-02 07:12:00 | a | USD | 5 | 10
2021-01-02 09:36:00 | a | USD | 5 | 0
2021-01-03 04:48:00 | b | USD | 5 | 15
2021-01-03 07:12:00 | b | USD | 5 | 0
2021-01-03 09:36:00 | b | USD | 5 | 0
2021-01-03 12:00:00 | d | USD | 5 | 5
2021-01-03 14:24:00 | a | USD | 5 | 5
2021-01-01 16:48:00 | c | USD | 3 | 0
Spreadsheet: 44760d1243517813-need-rearranging-data-685332_knawl2
Sheet: Before

Data
JOHN SMITH D.O.B.: 01/01/1990
1234567890
JOHN [NAME]:
Randomtext1234567891
9876543211
[NAME] SMITH2 D.O.B.: 01/01/1992
9876543212
[NAME]: 01/01/1993
1234567893
Randomtext9876543213
JOHN SMITH D.O.B.: 01/01/1990
1234567890
JOHN [NAME]:
Randomtext1234567891
9876543211
[NAME] SMITH2 D.O.B.: 01/01/1992
9876543212
[NAME]: 01/01/1993
1234567893
Randomtext9876543213
JOHN SMITH D.O.B.: 01/01/1990
1234567890
JOHN [NAME]:
Randomtext1234567891
9876543211
[NAME] SMITH2 D.O.B.: 01/01/1992
9876543212
[NAME]: 01/01/1993
1234567893
Randomtext9876543213
JOHN SMITH D.O.B.: 01/01/1990
1234567890
JOHN [NAME]:
Randomtext1234567891
9876543211
[NAME] SMITH2 D.O.B.: 01/01/1992
9876543212
[NAME]: 01/01/1993
1234567893
Randomtext9876543213
JOHN SMITH D.O.B.: 01/01/1990
1234567890
JOHN [NAME]:
Randomtext1234567891
9876543211
[NAME] SMITH2 D.O.B.: 01/01/1992
9876543212
[NAME]: 01/01/1993
1234567893
Randomtext9876543213
JOHN SMITH D.O.B.: 01/01/1990
1234567890
JOHN [NAME]:
Randomtext1234567891
9876543211
[NAME] SMITH2 D.O.B.: 01/01/1992
9876543212
[NAME]: 01/01/1993
1234567893
Randomtext9876543213
JOHN SMITH D.O.B.: 01/01/1990
1234567890
JOHN [NAME]:
Randomtext1234567891
9876543211
[NAME] SMITH2 D.O.B.: 01/01/1992
9876543212
[NAME]: 01/01/1993
1234567893
Randomtext9876543213
JOHN SMITH D.O.B.: 01/01/1990
1234567890
JOHN [NAME]:
Randomtext1234567891
9876543211
[NAME] SMITH2 D.O.B.: 01/01/1992
9876543212
[NAME]: 01/01/1993
1234567893
Randomtext9876543213
JOHN SMITH D.O.B.: 01/01/1990
1234567890
JOHN [NAME]:
Randomtext1234567891
9876543211
[NAME] SMITH2 D.O.B.: 01/01/1992
9876543212
[NAME]: 01/01/1993
1234567893
Randomtext9876543213
JOHN SMITH D.O.B.: 01/01/1990
1234567890
JOHN [NAME]:
Randomtext1234567891
9876543211
[NAME] SMITH2 D.O.B.: 01/01/1992
9876543212
[NAME]: 01/01/1993
1234567893
Randomtext9876543213
JOHN SMITH D.O.B.: 01/01/1990
1234567890
JOHN [NAME]:
Randomtext1234567891
9876543211
[NAME] SMITH2 D.O.B.: 01/01/1992
9876543212
[NAME]: 01/01/1993
1234567893
Randomtext9876543213
JOHN SMITH D.O.B.: 01/01/1990
1234567890
JOHN [NAME]:
Randomtext1234567891
9876543211
[NAME] SMITH2 D.O.B.: 01/01/1992
9876543212
[NAME]: 01/01/1993
1234567893
Randomtext9876543213
JOHN SMITH D.O.B.: 01/01/1990
1234567890
JOHN [NAME]:
Randomtext1234567891
9876543211
[NAME] SMITH2 D.O.B.: 01/01/1992
9876543212
[NAME]: 01/01/1993
1234567893
Randomtext9876543213
JOHN SMITH D.O.B.: 01/01/1990
1234567890
JOHN [NAME]:
Randomtext1234567891
9876543211
[NAME] SMITH2 D.O.B.: 01/01/1992
9876543212
[NAME]: 01/01/1993
1234567893
Randomtext9876543213
JOHN SMITH D.O.B.: 01/01/1990
1234567890
JOHN [NAME]:
Randomtext1234567891
9876543211
[NAME] SMITH2 D.O.B.: 01/01/1992
9876543212
[NAME]: 01/01/1993
1234567893
Randomtext9876543213