tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 61321d1262139566-find-the-birthdays-in-current-month-bday2
Sheet: Sheet1

Name | Birthday | TODAY | Birthdays in this month
[NAME] | 15/03/09 | 2009-12-30 00:00:00
Maxwell | 15/04/09
Smith | 2009-05-05 00:00:00
[NAME] | 28/08/09
Pony | 1960-12-13 00:00:00 |  | Pony
George | 30/10/09
Wilson | 22/08/09
Spreadsheet: 215468d1361387016-find-add-and-return-values-from-multiple-worksheets-example1
Sheet: Sheet2

Name | Course A | Time spent | Course B | Time spent | Course C | Time spent
Adam | English | 1 | Maths | 3 | Science | 4
Eve | Maths | 2 | Geography | 1 | Science | 2
[NAME] | Maths | 3 | Geography | 1 | History | 2
Spreadsheet: 741141d1626861345-calculating-tenure-based-on-start-date-and-end-date-book1-3-
Sheet: Chart

Fiscal Year |  | 2021
 |  | 2 | 3
Tenure
<30 days | 1
30-90 days | 3
90-120 days | 4
120-180 days | 6
6 mo - 1 yr | 13
1-2yr | 25
2-5yr | 61
5+ yrs | 157
Spreadsheet: 845857d1697184980-filter-formula-help-help2
Sheet: Sheet1

[NAME] by Profile & Channel
REF FIELD FOM RAWDATA | COL
Agency |  | applies to all tables
[NAME] |  | applies to all tables
[NAME]
REF FIELD FOM RAWDATA | COL
Type_of_product_bought
[NAME] (don't touch)
 | Product 1 | Product 2 | Product 3 | Product 4 | Product 5 | Errors | TOTAL | IDs with issues
Company 3 | 2 | 0 | 0 | 1 | 0 | 1 | 4
Spreadsheet: 861704d1709566792-pulling-data-from-multiple-excel-sheet-payroll-test
Sheet: CHT

Narrative | Journal | Amount | Nominal Code | Cost Centre | Dept.
Net Wages | Cr | 702.10 | 2220
National Insurance | Cr | 915.59 | 2210
PAYE | Cr | 480.05 | 2210
Pension | Cr | 526.66 | 2230
Payments | Dr | 605.52 | 6005
Payments | Dr | 642.94 | 6002
Payments | Dr | 377.71 | 6006
SSP | Dr | 15.72 | 6021
SMP | Dr | 601.60 | 6022
Total SMP Recovered | Dr | 473.48 | 2210
SMP Recovered | Cr | 473.48 | 6022
Payments | Dr | 662.00 | 6007
Payments | Dr | 562.02 | 6010
Advance Deduction | Cr | 59.48 | 2220
Spreadsheet: 1d89e4a5-5a9c-401e-8e80-fac68d9d4d96
Sheet: TABLE

#1 Access | 5 Year MSJC SJC Data |  |  |  |  |  |  |  |  |  | Service Area |  | Gap vs.
 | AY07-08 |  | AY08-09 |  | [NAME] |  | AY10-11 |  | AY11-12 |  | 2010 Census |  | Recent AY
Gender | # | % | # | % | # | % | # | % | # | % | # | % | %
Female |  |  |  |  |  |  |  |  |  |  | 425726
Male |  |  |  |  |  |  |  |  |  |  | 411136
Unknown |  |  |  |  |  |  |  |  |  |  | 0
Total
click here for graph
 |  |  |  |  |  |  |  |  |  |  | Service Area |  | Gap vs.
 | AY07-08 |  | AY08-09 |  | [NAME] |  | AY10-11 |  | AY11-12 |  | 2010 Census |  | Recent AY
Ethnicity | # | % | # | % | # | % | # | % | # | % | # | % | %
White |  |  |  |  |  |  |  |  |  |  | 398271
Hispanic |  |  |  |  |  |  |  |  |  |  | 318674
African American |  |  |  |  |  |  |  |  |  |  | 43085
Asian |  |  |  |  |  |  |  |  |  |  | 21251
Native American |  |  |  |  |  |  |  |  |  |  | 6071
Filipino |  |  |  |  |  |  |  |  |  |  | 23365
Pacific Islander |  |  |  |  |  |  |  |  |  |  | 2305
Multi-Race |  |  |  |  |  |  |  |  |  |  | 22553
Unknown |  |  |  |  |  |  |  |  |  |  | 1287
click here for graph
 |  |  |  |  |  |  |  |  |  |  | Service Area |  | Gap vs.
 | AY07-08 |  | AY08-09 |  | [NAME] |  | AY10-11 |  | AY11-12 |  | 2010 Census |  | Recent AY
Age | # | % | # | % | # | % | # | % | # | % | # | % | %
<18 |  |  |  |  |  |  |  |  |  |  | 245217
18 & 19 |  |  |  |  |  |  |  |  |  |  | 25706
20 to 24 |  |  |  |  |  |  |  |  |  |  | 52893
25 to 29 |  |  |  |  |  |  |  |  |  |  | 52166
30 to 34 |  |  |  |  |  |  |  |  |  |  | 52145
35 to 39 |  |  |  |  |  |  |  |  |  |  | 55384
40 to 49 |  |  |  |  |  |  |  |  |  |  | 116401
50 + |  |  |  |  |  |  |  |  |  |  | 236950
Unknown |  |  |  |  |  |  |  |  |  |  | 0
Average Age | 27.54786203332903 |  | 26.85993705035971 |  | 26.84244737928188 |  | 26.6028743397617 |  | 26.43084407047068
Median Age | 22 |  | 22 |  | 22 |  | 22 |  | 22
click here for graph
 | 5 Year MSJC Data |  |  |  |  |  |  |  |  |  | Riverside County |  | Gap vs.
 | AY07-08 |  | AY08-09 |  | [NAME] |  | AY10-11 |  | AY11-12 |  | 2010 ACS* |  | Recent AY
DSPS | # | % | # | % | # | % | # | % | # | % | # | % | #
Disabilities |  |  |  |  |  |  |  |  |  |  | 105412
 |  |  |  |  |  |  |  |  |  |  | 1299857
Service Area Comparison Data from MSJC official [NAME] codes in the 2010 Census Data.
* note: DSPS comparison data is from the 2010 ACS for Riverside County, disability count for ages 18 to 64
http://www.census.gov/acs/www/about_the_survey/american_community_survey/
Spreadsheet: 227804d1365818192-help-populating-a-calendar-with-entries-from-multiple-tabs-example-inventory-sheet
Sheet: Chinese Made Tanks

Type | PO # / Customer | Location / Shipping Date | In Stock | In Transit | Approximate Arrival Date
Incoming Tanks
10 HL Unitank | PO#029045 / Mckinnon tanks | 2013-04-02 00:00:00 |  | 3
20BBL Unitank | PO#029393 / FMB-18831 tanks | 2013-03-18 00:00:00 |  | 3
40BBL Unitank | PO#029393 / FMB-18831 tanks | 2013-03-18 00:00:00 |  | 1
40BBl Unitank | PO#029393 / FMB-18831 tanks | 2013-03-18 00:00:00 |  | 1
10BBL Ferm | PO#029448 / BLR-18851 tanks | 2013-03-28 00:00:00 |  | 2
5BBL Ferm | PO#029448 / BLR-18851 tanks | 2013-03-28 00:00:00 |  | 2
40HL Ferm | PO#029455 / 33A tanks | 2013-04-02 00:00:00 |  | 1
15BBL Ferm | PO#029544 / SUN-18954 tanks | 2013-04-03 00:00:00 |  | 6
15BBL Bright | PO#029544 / SUN-18954 tanks | 2013-04-03 00:00:00 |  | 2
15BBL Ferm | PO#029454 / WBR-18945 tanks | 2013-04-09 00:00:00 |  | 4
15BBL Bright | PO#029454 / WBR-18945 tanks | 2013-04-09 00:00:00 |  | 1
30BBL Fermenter | PO#029828 / GBD-19000 tanks | 2013-04-14 00:00:00 |  | 4
30 BBL Bright | PO#029828 / GBD-19000 tanks | 2013-04-14 00:00:00 |  | 1
Spreadsheet: 32447d1228589138-calculating-percentiles-664727-pvd
Sheet: sand

 |  |  |  |  | d0 | 1.016256917790431
 |  |  |  |  | k | 5
 |  |  |  |  | RMS error | 0.04272597707083171
Sand |  |  |  |  | Porosity = Vvoid/Vtotal = 70/200 = .350
Sieve Opening  (mm) | Empty Sieve Weight (g) | Weight of Sieve + Filter Media (g) | Weight of Filter Media (g) | Cumulative Mass (g) | % of Media Passing | cdf
0.25 | 401.8 | 417.7 | 16.2 | 660.8 | 0 | 0.0009005065019159764
0.6 | 428 | 596.3 | 168.3 | 644.6 | 0.025 | 0.06922364538846049
0.85 | 427.5 | 880.9 | 453.4 | 476.3 | 0.279 | 0.3359071325089855
1.19 | 448.5 | 467.3 | 18.8 | 22.9 | 0.965 | 0.8893621044307438
2 | 537.9 | 541.5 | 3.6 | 4.1 | 0.9940000000000001 | 0.9999999999998489
2.38 | 522.3 | 522.8 | 0.5 | 0.5 | 0.9990000000000001 | 1
Spreadsheet: 794525d1662097580-naming-cells-using-info-from-multiple-nearby-cells-example-for-excel-forum
Sheet: Annual CHeReL

1.2  page title blah blah
Activity Outputs | KPI | Metric | Data for Reporting period:  <date> to  <date>
 |  |  | Current status and discuss any issues
[NAME] | 1) Progress is made towards designing and implementing a jurisdictional-level xxxxxxx | Status update on design and implimentation of xxxxxxx service.
 |  |  | In reporting period | Cumulative | Comment (optional)
 |  | Number of potential clients provided education and tailored client advice.
 |  | Initial rollout of xxxxxxxxx Service is implemented
 |  |  | Current status and discuss any issues
[NAME] (develop and Execute *********) | 1) Progress is made towards establishment of the ********** | Status updates related to the progress towards establishment of *********
 |  |  | In reporting period | Cumulative | Comment (optional)
 |  | Number of potential clients provided education and tailored client advice.
 |  | Number of eligible collections included in************
 |  |  | Current status and discuss any issues
e. | 1)  [NAME] is made towards expanding the range of linked data sets on offer ********** | Status updates related to the progress towards expanding the range of linked data
 |  |  | In reporting period | Cumulative | Comment (optional)
f. | 1) Increased availability of linked data to support********** | Number of********* letters to public health grant applicants
 |  |  | % (percentage) | Comment (optional)
 |  | Proportion of grants that were**********8
 |  | Proportion of successful grants that **********
 |  |  | Study | Investigator | BCG1/2/3 | Current status and discuss any issues
 |  | Status updates on progress towards***********8 | study name 1 | Researcher A | 1
 |  |  | study name 2 | Researcher B | 1
 |  |  | study name 3 | Researcher C | 1
 |  |  | study name 4 | Researcher D | 1
 |  |  | study name 5 | Researcher E | 1
 |  |  | study name 6 | Researcher F | 1
 |  |  | study name 7 | Researcher G | 1
 |  |  | study name 8 | Researcher H | 1
 |  |  | study name 9 | Researcher I | 1
 |  |  | study name 10 | Researcher J | 2
 |  |  | study name 11 | Researcher K | 2
 |  |  | study name 12 | Researcher L | 2
 |  |  | study name 13 | Researcher M | 2
 |  |  | study name 14 | Researcher N | 2
 |  |  | study name 15 | Researcher O | 2
 |  |  | study name 16 | Researcher P | 2
 |  |  | study name 17 | Researcher Q | 2
 |  |  | study name 18 | Researcher R | 3
 |  |  | study name 19 | Researcher S | 3
 |  |  | study name 20 | Researcher T | 3
 |  |  | study name 21 | Researcher U | 3
 |  |  | study name 22 | Researcher V | 3
 |  |  | study name 23 | Researcher W | 3
 |  |  | study name 24 | Researcher X | 3
 |  |  | study name 25 | Researcher Y | 3
 |  |  | study name 26 | Researcher Z | 3
 |  |  | study name 27 | Researcher AA | 3
 |  |  | In reporting period | Cumulative | Comment (optional)
g. | 1) Increased awareness of availability of *********8 | Number of presentations or activities to promote innovative use ***********8
Spreadsheet: 20981bb5-f646-43e2-9557-e8fc06a049e7
Sheet: 2010-11

Table T1
UK Domiciled Student Numbers by Ethnic Group
Ethnic Group | Undergraduate | Graduate | Total
Asian or Asian British
- Bangladeshi | 130 | 54
- Indian | 895 | 485
- Pakistani | 218 | 120
- Other | 442 | 205
Subtotal
Black or Black British
- African | 226 | 199
- Caribbean | 54 | 49
- Other | 11 | 12
Subtotal
Chinese
Chinese
Subtotal | 356 | 149
Mixed
- White and Asian | 232 | 91
- White and Black African | 42 | 21
- White and Black Caribbean | 42 | 20
- Other | 184 | 134
Subtotal
White
- White | 5359 | 4124
Subtotal
Other
Other Ethnic Background | 240 | 194
Information Refused | 298 | 246
Not Known | 12 | 16
Subtotal
Total
The information in this table is concerned with those students whose domicile at the time of application is within the UK.
Spreadsheet: 848633d1699327797-newbie-help-if-vlookup-not-sure-which-formula-to-use-formula-help-example
Sheet: Summary Sheet

FY24 Board Approved | FY Board Approved Date | FY24 Construction Start Date
Store 14 |  | 2024-03-01 00:00:00
Store 20 | 2024-04-04 00:00:00
Store 21 | 2024-05-05 00:00:00
Store 22 | 2024-06-06 00:00:00
The 'Examples' below is basically the Result that I'm looking for:
Examples
Store 1 | XX Date from 'Data Sheet' | XX Date from 'Data Sheet'
Store 4 | XX Date from 'Data Sheet' | XX Date from 'Data Sheet'
Store 10 | XX Date from 'Data Sheet' | XX Date from 'Data Sheet'
Spreadsheet: 708408d1607788398-determine-discount-based-on-name-and-date-criteria-discount_with-name-criteria
Sheet: Sheet1

LIST OF STUDENT
2021-2022 |  |  |  |  |  |  | CALCULATE OF DISCOUNT
 |  |  |  |  |  |  |  |  | Expected result
No.# | name | address | TOTAL YANG HARUS DIBAYAR | amount | date_payment |  | name | amount_total | DISCOUNT | should be
1 | A | PEKANBARU | 7500000 | 1000000 | 2020-12-27 00:00:00 |  | E |  |  | 0
2 | A | PEKANBARU | 7500000 | 2500000 | 2020-12-28 00:00:00 |  | G |  |  | 2000000 | cause earliest date 25/12/2020
3 | A | KAMPAR | 7500000 | 750000 | 2020-12-29 00:00:00 |  | B |  |  | 1000000 | cause earliest date 02/03/2021
4 | B | KAMPAR | 7500000 | 300000 | 2021-03-10 00:00:00 |  | F |  |  | 0 | cause earliest date 12/05/2021
5 | D | PEKANBARU | 7500000 | 500000 | 2021-06-02 00:00:00
6 | B | KAMPAR | 7500000 | 1500000 | 2021-03-02 00:00:00
7 | D | PEKANBARU | 7500000 | 4000000 | 2020-12-25 00:00:00
8 | D | PEKANBARU | 7500000 | 4000000 | 2020-12-25 00:00:00
9 | E | PEKANBARU | 7500000 | 4000000 | 2021-05-11 00:00:00
10 | E | PEKANBARU | 7500000 | 500000 | 2021-12-25 00:00:00
11 | F | PEKANBARU | 7500000 | 3000000 | 2021-05-12 00:00:00
12 | G | PEKANBARU | 7500000 | 1000000 | 2021-03-13 00:00:00
13 | G | PEKANBARU | 7500000 | 3000000 | 2020-12-25 00:00:00
14 | F | PEKANBARU | 7500000 | 2000000 | 2021-05-25 00:00:00
Spreadsheet: 868027d1714735304-array-formula-not-doing-what-i-expect-it-to-tool-change-log
Sheet: Sheet1

Tool Change Log
Operator | Machine | Part Count | Tool Changed | Reason
[NAME] | 1 | 5 | 1
[NAME] | 2 | 4 | 2 |  |  | false
[NAME] | 3 | 5 | 3 |  |  | false
[NAME] | 4 | 4 | 4 |  |  | false
[NAME] | 5 | 5 | 5 |  |  | false
[NAME] | 6 | 4 | 6 |  |  | false
[NAME] | 7 | 5 | 7 |  |  | false
[NAME] | 8 | 4 | 8 |  |  | false
[NAME] | 2 | 5 |  |  |  | false
[NAME] | 5 | 4 |  |  |  | false
[NAME] | 2 | 5 |  |  |  | false
[NAME] | 4 | 4 |  |  |  | false
[NAME] | 3 | 5 |  |  |  | false
[NAME] | 6 | 4 |  |  |  | false
Spreadsheet: 126263d1319597429-excel-2007-convert-a-letter-to-a-number-book1_camnjane
Sheet: Sheet1

 |  |  |  |  |  |  |  |  |  | Alpha | Number
E |  |  |  |  |  |  |  |  |  | E | 10
G |  |  |  |  |  |  |  |  |  | H | 8
H |  |  |  |  |  |  |  |  |  | G | 6
E |  |  |  |  |  |  |  |  |  | L | 3
H
G
L
E
H
L
H
Spreadsheet: 793738d1661682002-365-how-to-use-a-a-formula-deduplication-to-sort-from-big-to-small-f8-28
Sheet: Sheet1

DATA | AMOUNT
A | 5 |  |  | A | 10 | 8 | 6 | 5
B | 7 |  |  | B | 7
A | 6 |  |  | C | 8 | 6
C | 8
A | 5
C | 6
B | 7
A | 10
C | 8
A | 8
A | 6
Spreadsheet: 163505d1340332038-autosort-formula-rnklist
Sheet: waarden

Duitsland | [NAME] | Duitsland
Duitsland | [NAME] | Spanje |  | Duitsland | #N/A | #N/A
Duitsland | Torres | Spanje |  | Nederland | #N/A | #N/A
Nederland | [NAME] | Duitsland |  | Spanje | #N/A | #N/A
Spanje | [NAME] | Spanje |  | Rusland | #N/A | #N/A
Duitsland | [NAME] | Duitsland |  | Frankrijk | #N/A | #N/A
Nederland | [NAME] | Spanje |  |  | #N/A
Nederland | [NAME] | Nederland
Nederland | v Persie | Spanje
Duitsland | [NAME] | Spanje
Duitsland | [NAME] | Spanje
Spanje | [NAME] | Spanje |  | [NAME] | #N/A | #N/A
Duitsland | [NAME] | Nederland |  | Torres | #N/A | #N/A
Rusland | [NAME] | Spanje |  | [NAME] | #N/A | #N/A
Spanje | [NAME] | Spanje |  | v Persie | #N/A | #N/A
Spanje | [NAME] | Duitsland |  | [NAME] | #N/A | #N/A
Duitsland | [NAME] | Duitsland |  | [NAME] | #N/A | #N/A
Frankrijk | [NAME] | Duitsland |  |  | #N/A
Duitsland | Torres | Nederland
Frankrijk | [NAME] | Duitsland
Duitsland | [NAME] | Spanje
Duitsland | [NAME] | Spanje |  | Spanje | #N/A | #N/A
Duitsland | [NAME] | Spanje |  | Nederland | #N/A | #N/A
Duitsland | [NAME] | Duitsland |  | Duitsland | #N/A | #N/A
Nederland | [NAME] | Duitsland |  | Engeland | #N/A | #N/A
Duitsland | [NAME] | Duitsland |  |  | #N/A
Spanje | v Persie | Spanje
Spreadsheet: 142387d1329819562-how-to-select-maximum-values-based-on-age-in-a-cell-with-an-existing-drop-down-list-pensions-calcs-v2mod
Sheet: Sheet2

0 |  |  | Age | Percentage | Last Row
 |  |  | 0 | 0.15 | 30 |  | May need to change ages in first column to get right logic for selection
 |  |  | 31 | 0.2 | 40 |  | (ie which %age applies to age 40)
 |  |  | 41 | 0.25 | 50
 |  |  | 51 | 0.3 | 60
 |  |  | 56 | 0.35 | 70
 |  |  | 60 | 0.4 | 80
 |  |  |  | Output % | Last Row
 |  |  |  |  |  |  |  |  |  | Combo output = position |  |  | 60
 |  |  |  |  |  |  |  |  |  | Percentage
 |  |  |  |  |  | Input Age
 |  |  |  |  |  | 53 |  | 0.3000000000000002 |  | Data Validation
 |  |  | Note use of range names
 |  |  | A range "Shorter_List" is derived from the Percentage_List using the OFFSET function
 |  |  | See [NAME]/Name Manager to definite of range |  |  |  |  |  | =OFFSET(Percent_List,0,0,Sheet2!Last_Row,1)
Spreadsheet: 758737d1639047318-conditional-vlookup-if-search-column-has-a-number-and-return-column-is-a-text-value-formula
Sheet: Sheet2

Row Labels
Allergen-Fee Indivdual |  |  | Allergen-Fee Indivdual
Beef |  |  | Beef
Cold Desserts |  |  | Fish
Fish |  |  | Lamb
Hot Desserts |  |  | Pork
Lamb |  |  | Poultry
Pork |  |  | Vegetarian
Poultry
Vegetarian |  |  | Cold Desserts
Grand Total |  |  | Hot Desserts
Spreadsheet: 117049d1312409896-xirr-with-dynamic-ranges-sample
Sheet: Case Scenarios

 |  |  |  |  |  |  | Cumm. |  | Cumm | Qtrly
 |  | Randomness |  | No |  |  | Qtr | Qtr | 0
 |  | End of first operating quarter |  |  |  |  | 1 | 4Q11
 |  |  |  |  |  |  |  | 1Q12
 |  | Model Variable #1 |  |  |  |  |  | 2Q12
 |  | Success Rate (out of 10) |  | Return Low | Return High |  |  | 3Q12
 |  | Strong | 3 | 2 | 3 |  |  | 4Q12
 |  | Moderate | 3 | 1.1 | 2 |  |  | 1Q13
 |  | Poor | 1 | 0.8 | 1.1 |  |  | 2Q13
 |  | Fail | 3 | 0 |  |  |  | 3Q13
 |  |  |  |  |  |  |  | 4Q13
 |  |  |  |  |  |  |  | 1Q14
 |  | Model Variable #2 |  |  |  |  |  | 2Q14
 |  | Target Investment Commitment (US$, 000s) |  |  |  |  |  | 3Q14
 |  |  | Annual | Per Qtr |  |  |  | 4Q14
 |  | 2011 | 25000 |  |  |  |  | 1Q15
 |  |  | 30000 |  |  |  |  | 2Q15
 |  |  | 35000 |  |  |  |  | 3Q15
 |  |  | 40000 |  |  |  |  | 4Q15
 |  |  | 45000 |  |  |  |  | 1Q16
 |  | 2016 | 50000 |  |  |  |  | 2Q16
 |  |  |  |  |  |  |  | 3Q16
 |  | Model Variable #3 |  |  |  |  |  | 4Q16
 |  | Per Investment Commitment Limitations (US$, 000s) |  |  |  |  |  | 1Q17
 |  | Min | [NAME] |  |  |  |  | 2Q17
 |  | 1000 | 6000 |  |  |  |  | 3Q17
 |  |  |  |  |  |  |  | 4Q17
 |  | Model Variable #4 |  |  |  |  |  | 1Q18
 |  | Length of Case (Quarters) |  |  |  |  |  | 2Q18
 |  | Min | [NAME] |  |  |  |  | 3Q18
 |  | 6 | 12 |  |  |  |  | 4Q18
 |  |  |  |  |  |  | Potential | Actual | 1
 |  | Case | Commencement | Investment | Length ([NAME]) | Success | Payout | Payout | IRR | 4Q11 | 1Q12 | 2Q12 | 3Q12 | 4Q12 | 1Q13 | 2Q13 | 3Q13 | 4Q13 | 1Q14 | 2Q14 | 3Q14 | 4Q14 | 1Q15 | 2Q15 | 3Q15 | 4Q15 | 1Q16 | 2Q16 | 3Q16 | 4Q16 | 1Q17 | 2Q17 | 3Q17 | 4Q17 | 1Q18 | 2Q18 | 3Q18 | 4Q18
 |  | 1
 |  |  | 0.3 |  | Strong |  | Total Investments in Qtr
 |  |  | 0.4 |  | Moderate |  | Total Receipts
 |  |  | 1.4 |  | Poor |  | Net Qtrly Cash Flows
 |  |  | 0.3 |  | Fail |  | Cummulative Cash Flows
 |  |  |  |  |  |  | Committed Capital
 |  |  |  |  |  |  | Disbursed Capital
 |  |  | Investment Allocation
 |  |  | Quarters | 1
 |  |  | 4 | 0.2 | 0.2 | 0.2 | 0.4
 |  |  |  | 0.08 | 0.12 | 0.18 | 0.23 | 0.39
 |  |  |  | 0.05 | 0.1 | 0.15 | 0.15 | 0.2 | 0.35
 |  |  |  | 0.03 | 0.05 | 0.1 | 0.15 | 0.15 | 0.2 | 0.32
 |  |  |  | 0.025 | 0.055 | 0.08 | 0.09 | 0.14 | 0.14 | 0.19 | 0.28
 |  |  |  | 0.021 | 0.039 | 0.06 | 0.09 | 0.1 | 0.12 | 0.15 | 0.17 | 0.25
 |  |  |  | 0.02 | 0.04 | 0.05 | 0.06 | 0.08 | 0.1 | 0.12 | 0.14 | 0.16 | 0.23
 |  |  |  | 0.015 | 0.02 | 0.03 | 0.045 | 0.06 | 0.08 | 0.1 | 0.12 | 0.14 | 0.18 | 0.21
 |  |  |  | 0.005 | 0.015 | 0.025 | 0.035 | 0.05 | 0.065 | 0.08 | 0.105 | 0.12 | 0.15 | 0.16 | 0.19
 |  |  |  | 0.005 | 0.015 | 0.025 | 0.035 | 0.045 | 0.055 | 0.07 | 0.08 | 0.1 | 0.12 | 0.13 | 0.15 | 0.17
 |  |  |  | 0.005 | 0.015 | 0.02 | 0.03 | 0.04 | 0.05 | 0.06 | 0.07 | 0.085 | 0.105 | 0.11 | 0.13 | 0.13 | 0.15
Spreadsheet: 889675d1740579174-highlight-the-cells-where-text-isnt-found-in-a-list-planning-tool-master-12-monthly-recall-dates-option-
Sheet: Asssessments Per Month & Sites

Expires | Number Off Assessments | Site
 | 2 | Location 8
July 2022 | 2 | Location 1
July 2022 | 4 | Location 2
July 2022 | 2 | Location 3
July 2022 | 3 | Location 5
July 2022 | 1 | Location 6
July 2022 | 1 | Location 7
July 2022 | 7 | Location 9
July 2022 | 3 | Location 11
July 2022 | 1 | Location 12
July 2022 | 6 | Location 13
July 2022 | 2 | Location 14
July 2022 | 3 | Location 15
July 2022 | 3 | Location 16
July 2022 | 3 | Location 17
July 2022 | 7 | Location 20
July 2022 | 3 | Location 21
July 2022 | 2 | Location 22
March 2023 | 6 | Location 19
August 2023 | 1 | Location 10
August 2023 | 1 | Location 18
December 2023 | 2 | Location 4
December 2023 | 1 | Location 1
June 2024 | 1 | Location 1
August 2024 | 1 | Location 10
August 2024 | 1 | Location 18
December 2024 | 4 | Location 1
January 2025 | 1 | Location 1
February 2025 | 1 | Location 1
March 2025 | 1 | Location 1
March 2025 | 1 | Location 2
March 2025 | 1 | Location 3
March 2025 | 1 | Location 4
March 2025 | 1 | Location 5
March 2025 | 1 | Location 6
March 2025 | 1 | Location 7
March 2025 | 1 | Location 8
March 2025 | 1 | Location 9
March 2025 | 1 | Location 10
March 2025 | 1 | Location 11
April 2025 | 1 | Location 1
May 2025 | 1 | Location 1
June 2025 | 1 | Location 1
June 2025 | 1 | Location 2
June 2025 | 1 | Location 3
June 2025 | 1 | Location 4
June 2025 | 1 | Location 5
June 2025 | 1 | Location 6
June 2025 | 1 | Location 7
June 2025 | 1 | Location 8
June 2025 | 1 | Location 9
June 2025 | 1 | Location 10
June 2025 | 1 | Location 11
July 2025 | 1 | Location 1
August 2025 | 1 | Location 1
September 2025 | 1 | Location 1
October 2025 | 1 | Location 1
November 2025 | 1 | Location 1
December 2025 | 3 | Location 1
March 2027 | 1 | Location 1
August 2027 | 2 | Location 4
August 2027 | 1 | Location 10
August 2027 | 1 | Location 18
Spreadsheet: 739044d1625480677-search-match-conditions-book2
Sheet: Sheet1

ColumnA | ColumnB | ColumnC | ColumnD | ColumnE
Regular | Test  Test1  Test2  test3  Test4 | AbCD | AbCD | CC-DD
Regular | Test5 | DFGH | DFGH | AA-BB-CC
Spreadsheet: 887683d1737992201-find-and-sort-nearest-date-testing
Sheet: Loan_ID

Sr No. | Loan ID | Name | Loan Date | Interest  % | Loan Amount | Tenor
Spreadsheet: 405de7a7-a583-40db-9f98-209aac79d5fa
Sheet: Sheet1

Battle ID | Date & Time | Side | Victory | Score | Opp. Score | Opp. ID | Opp. Name | Scenario ID | Front | Start Date | End Date | Name EN | Name FR
40221455 | 2014-02-24 21:18:47 | AXIS | 0 | 4 | 6 | 1006906 | JPfeiffer | 12493 | western | 1944-12-30 | 1944-12-30 | [NAME] | [NAME]
40221984 | 2014-02-24 21:37:35 | ALLIES | 0 | 5 | 6 | 1006906 | JPfeiffer | 12493 | western | 1944-12-30 | 1944-12-30 | [NAME] | [NAME]
40222471 | 2014-02-24 22:07:14 | ALLIES | 1 | 6 | 4 | 1530567 | tommikins | 7595 | eastern | 1939-12-16 | 1939-12-16 | Suomussalmi | Suomussalmi
40222852 | 2014-02-24 22:24:21 | AXIS | 1 | 6 | 3 | 1530567 | tommikins | 7595 | eastern | 1939-12-16 | 1939-12-16 | Suomussalmi | Suomussalmi
Spreadsheet: 735961d1623279180-help-on-calculating-deposit-amounts-based-on-percentages-and-adding-totals-for-each-month-example-summary-sheet-calculation
Sheet: QTRLY Plan

 |  |  |  |  |  |  |  | Actual | Comments | Coach
Q1 | Target [NAME]
 | Target Revenue
 | Focus
 |  |  |  |  |  |  |  | % Complete
 | Goal #1
 | Goal #2
 | Goal #3
Q2 | Target [NAME]
 | Target Revenue
 | Focus
 |  |  |  |  |  |  |  | % Complete
 | Goal #1
 | Goal #2
 | Goal #3
Q3 | Target [NAME]
 | Target Revenue
 | Focus
 |  |  |  |  |  |  |  | % Complete
 | Goal #1
 | Goal #2
 | Goal #3
Q4 | Target [NAME]
 | Target Revenue
 | Focus
 |  |  |  |  |  |  |  | % Complete
 | Goal #1
 | Goal #2
 | Goal #3
Spreadsheet: 811136d1672303384-if-name-change-then-change-the-number-sample-15-
Sheet: Sheet1

 | NAME | SERIES
 | ABDUL | 1
 | AFAAQ | 2
 | DEVID | 1
 | SMITH | 2
 | SMITH | 2
 | SMITH | 2
 | CHAND | 1
 | CHAND | 1
 | YUSUF | 2
 | YUSUF | 2
 | YUSUF | 2
 | YUSUF | 2
 | BARNER | 1
 | BARNER | 1
 | EXTRA | 2
 | EXTRA | 2
 | EXTRA | 2
 | EXTRA | 2
 | EXTRA | 2
 | FAIZ | 1
Spreadsheet: b7b7bf99-6565-435a-91c2-f0f01767ff1c
Sheet: Sheet1

Season Schedule | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7
Date | Game Number | Visiting Team | Visiting Score | Home Team | Home Score | Game Time/Status | Venue
2013-04-26 | 1 | Hershey | 5 | Providence | 2 | Final | Dunkin' Donuts Center Providence, RI
2013-04-28 | 2 | Hershey | 5 | Providence | 4 | Final OT | Dunkin' Donuts Center Providence, RI
2013-05-04 | 3 | Providence | 5 | Hershey | 1 | Final | Giant Center Hershey, PA
2013-05-05 | 4 | Providence | 5 | Hershey | 4 | Final | Giant Center Hershey, PA
2013-05-08 | 5 | Hershey | 2 | Providence | 3 | Final | Dunkin' Donuts Center Providence, RI