tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 885078d1734504494-how-to-return-second-from-last-entry-in-a-column-forum
Sheet: Packaging 

1 | [NAME] | 0.4 | G - Flute | Single | Alpha | RMC | Aloha 12*1Kg
2 | Tino | 0.5 |  | Double | Hunyani | Warehouse | Aloha 8*2Kg
3 | [NAME] | 0.6 |  | Tripple | Best Pack | Paste | Aloha 24*500g
4 | Mitchelle | 0.7 | N - Flute |  | Paragon | [NAME] | Boom 12*1Kg
5 | Patience | 0.8 |  |  |  | Pace | Boom 8*2Kg
6 | Agritta | 0.9 |  |  |  | Rui | Boom 24*500g
7 | Vincent | 1 | E - Flute |  |  | [NAME] | Boom Paste 20*200g
8 | [NAME] | 1.1 |  |  |  | Receiving Bay | Boom Paste 20*400g | Certificate of Analysis
9 | Dayshift Rep | 1.2 | T - Flute |  |  |  | Boom Paste 200g
10 | Nightshift Rep | 1.3 |  |  |  |  | Boom Paste 400g | Packaging
11 |  | 1.4 | D - Flute |  |  |  | Sparkle 20*200g
12 |  | 1.5 |  |  |  |  | Sparkle 20*400g | Key
13 |  | 1.6 |  |  |  |  | Xtra 12*1Kg | Not Acceptable |  |  |  |  | 1 | Within Spec |  |  |  |  |  | 6 |  | Caution |  |  |  |  |  |  |  |  |  |  | 3
14 |  | 1.7 |  |  |  |  | Xtra 8*2Kg
15 |  | 1.8 | F - Flute |  |  |  | Xtra 24*500g | Date | Time | Source |  | SKU | Personnel |  | Quantity |  |  | Drop Test |  |  |  |  |  | [NAME] per Square Metre |  |  |  | Moisture | Flute
16 |  | 1.9 |  |  |  |  |  |  |  | Supplier | Station |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Count | Layer (mm)
17 |  | 2 |  |  |  |  |  |  | hrs |  |  |  | Analyst | Attendant | Received | Samples | Ratio % | Height (m) | Weight (kg) | Base | Face | Edge | Status | Length m | Width m | Weight g | GSM | 5 -10 % | per 30cm | Single | Classification | Double | Classification
18 |  | 2.1 |  |  |  |  |  | 1 |  |  |  |  | Dayshift Rep
19 |  | 2.2 | R - Flute |  |  |  |  | 5 | 1508hrs | Hunyani | Warehouse | Boom 24*500g | Vincent |  | 2205 | 2 |  | 0.5 | 0.49 | 1 | 0 | 1 |  | 0.505 | 0.345 | 500 |  |  | 78 |  |  | 6
20 |  | 2.3 |  |  |  |  |  | 5 | 1533hrs | Hunyani | Warehouse | Aloha 24*500g | Vincent |  | 9066 | 2 |  | 0.5 | 0.74 | 1 | 1 | 1 |  | 0.505 | 0.339 | 750 |  |  | 78 |  |  | 7
21 |  | 2.4 |  |  |  |  |  | 8 | 1400hrs | Hunyani | Warehouse | Aloha 8*2Kg | Mitchelle
22 |  | 2.5
23 |  | 2.6 | B - Flute
24 |  | 2.7
25 |  | 2.8
26 |  | 2.9
27 |  | 3
28 |  | 3.1
29 |  | 3.2
30 |  | 3.3
31 |  | 3.4
 |  | 3.5
 |  | 3.6 | C - Flute
 |  | 3.7
 |  | 3.8
 |  | 3.9
 |  | 4
 |  | 4.1
 |  | 4.2
 |  | 4.3
 |  | 4.4
 |  | 4.5 | A - Flute
 |  | 4.6
 |  | 4.7
 |  | 4.8
 |  |  |  |  |  |  |  | Summary
 |  |  |  |  |  |  |  | Most Analyzed SKU
 |  | 5.1 |  |  |  |  |  | Total Received
 |  |  |  |  |  |  |  | [NAME]
 |  | 5 |  |  |  |  |  | Average Ratio
 |  |  |  |  |  |  |  | Min
 |  |  |  |  |  |  |  | [NAME]
 |  |  |  |  |  |  |  | Pass/Fail rate
 |  |  |  |  |  |  |  | Overall Status
Spreadsheet: 875158d1721733205-display-name-not-code-from-a-cell-into-another-cell-room-inventory-template-new
Sheet: 17 Tables 

 | Inventory Count: |  |  |  |  |  |  | TABLE COUNT DATA
 | As of: |  |  | Cultivar | # of Tables |  |  | Table | BPR # | Initial # Plants Plugged | Kill | Current room Count | Harvest Amount | Harvest Date | Density | BPR Variation | Pinched
 |  |  |  |  |  |  |  | 1
 | Plug Date: |  |  |  |  |  |  | 2
 | Cycle: |  |  |  |  |  |  | 3
 | Room: |  |  |  |  |  |  | 4
 | Status: | Flower |  |  |  |  |  | 5
 | Estimated Harvest Date |  |  |  |  |  |  | 6
 |  |  |  |  |  |  |  | 7
 | Room Total Counts |  |  |  |  |  |  | 8
 | Cultivar | Biotrack Count | Room Count | [NAME] | Initial # Plugged | % Remaining |  | 9
 |  |  |  |  |  |  |  | 10
 |  |  |  |  |  |  | Pillar Table | 11
 |  |  |  |  |  |  |  | 12
 |  |  |  |  |  |  |  | 13
 |  |  |  |  |  |  |  | 14
 |  |  |  |  |  |  |  | 15
 | Total |  |  |  |  |  |  | 16
 |  |  |  |  |  |  |  | 17
 | Room Activity |  |  |  |  |  |  | Total
 | Date | Table | BPR # | Activity | Quantity
Spreadsheet: 65963d1266590055-count-values-from-same-dates-in-list-without-vba-testlist
Sheet: Sheet1

(list manually filled in) |  |  |  | (result list)
Date | Item | Status |  | Date | OK | Overdue
2010-01-01 00:00:00 | apple | OK |  | 2010-01-08 00:00:00 | 2 | 0
2010-01-02 00:00:00 | pear | OK |  | 2010-01-07 00:00:00 | 1 | 0
2010-01-03 00:00:00 | orange | Overdue |  | 2010-01-06 00:00:00 | 2 | 0
2010-01-01 00:00:00 | apple | OK |  | 2010-01-05 00:00:00 | 0 | 1
2010-01-05 00:00:00 | pear | Overdue |  | 2010-01-04 00:00:00 | 0 | 0
2010-01-06 00:00:00 | orange | OK |  | 2010-01-03 00:00:00 | 0 | 1
2010-01-01 00:00:00 | apple | Overdue |  | 2010-01-02 00:00:00 | 1 | 0
2010-01-08 00:00:00 | pear | OK |  | 2010-01-01 00:00:00 | 2 | 1
2010-01-06 00:00:00 | orange | OK
2010-01-07 00:00:00 | apple | OK |  | Dates change with formula from TODAY() upwards (backwards) to TODAY(-7)
2010-01-08 00:00:00 | pear | OK |  | Result list will only cover 8 "current" days
2010-01-09 00:00:00 | orange | Overdue
2010-01-10 00:00:00 | apple | OK
2010-01-11 00:00:00 | pear | Overdue
2010-01-12 00:00:00 | orange | OK
2010-01-13 00:00:00 | apple | Overdue
2010-01-14 00:00:00 | pear | OK
Spreadsheet: 199411d1355211470-how-to-calculate-a-formula-when-an-error-occurs-within-the-related-cells-sample
Sheet: Sheet1

Template Contract Quote |  |  |  |  |  | ADD COMPANY LOGO HERE
Claim No: |  | Contractor
Claimant: |  | Address:
Site Location: |  | Accreditation No:
EQR Supervisor: |  | [NAME]:
 |  | GST No:
Date: |  | Total Price ([NAME]. GST)
Rooms | Description of Work/s | Unit | Dimension | $ [NAME] | Contractors Quote | Room Total | Scope Change
Lounge: | Gap fill and paint | m | 26
Scope Change
Dining Room:
Scope Change
Kitchen:
Scope Change
Family Room:
Scope Change
Bedroom 1:
Scope Change
Bedroom 2:
Scope Change
Bedroom 3:
Scope Change
Contract Quotation |  |  |  |  | ADD COMPANY LOGO HERE
Address:
Claim #:
Rooms | Description of Work/s | Unit | Dimension | $ [NAME] | Contractors Quote | Room Total | Scope Change
Bedroom 4:
Scope Change
Bedroom 5:
Scope Change
Ensuite:
Scope Change
Bathroom 1:
Scope Change
Bathroom 2:
Scope Change
Toilet 1:
Scope Change
Toilet 2:
Scope Change
Office/Study:
Scope Change
Rumpus:
Scope Change
Contract Quotation |  |  |  |  | ADD COMPANY LOGO HERE
Address:
Claim #:
Rooms | Description of Work/s | Unit | Dimension | $ [NAME] | Contractors Quote | Room Total | Scope Change
Entry:
Scope Change
Hallway:
Scope Change
Stairwell:
Scope Change
Laundry:
Scope Change
Garage:
Scope Change
Conservatory:
Scope Change
Other:
Scope Change
Roof:
Scope Change
External Walls:
North
Scope Change
Contract Quotation |  |  |  |  | ADD COMPANY LOGO HERE
Address:
Claim #:
Rooms | Description of Work/s | Unit | Dimension | $ [NAME] | Contractors Quote | Room Total | Scope Change
External Walls:
South
Scope Change
External Walls:
East
Scope Change
External Walls:
West
Scope Change
Decks:
Scope Change
[NAME]:
Scope Change
Chimney:
Scope Change
Other
Scope Change
Fireplace:
Scope Change
Foundation:
Scope Change
Contract Quotation |  |  |  |  | ADD COMPANY LOGO HERE
Address:
Claim #:
Rooms | Description of Work/s | Unit | Dimension | $ [NAME] | Contractors Quote | Room Total | Scope Change
Piling:
Scope Change
Scaffolding | Please confirm area required
Scope Change
Scope Change
List P&G
 |  | Subtotal (excl. GST)
 |  |  | Add 15% GST
 |  | Total Incl. GST
 | Grand Total with Scope Changes Ext  GST
 | Grand Total with Scope Changes Incl.  GST
Contract Quotation
Estimated time of Completion |  | Days_______________
Start date______________ |  | Finish Date____________
Signature of Contractor______________________________ |  |  |  | Date_______
Spreadsheet: 27e1dbf7-f1c1-411a-b889-7c91ea7ccb53
Sheet: 13c

 | Swap Dealers/MSPs4 |  | Others
Product1 | Cleared2 | Uncleared | Cleared | Uncleared
Index Tranche
Europe | - | 972150 | - | 130320
North America/Asia | - | 1018296 | - | 115665
Index
Asia | - | 192604 | - | 44956
Europe | 1360971 | 4103209 | 392992 | 993247
North America | 1597805 | 3417582 | 991167 | 1207265
Other | 25489 | 456709 | 13875 | 64536
Other
Exotic/Total Return Swap | - | 73708 | - | 37244
Swaptions | - | 767479 | - | 317526
TOTAL
Spreadsheet: 782299d1653972641-tally-sheet-tally-up-lti-mti-fac-rwc-by-company-to-tally-sheet-by-injury-category-by-com-injury-register-
Sheet: LTIFR - TIFR

Month | LTIFR | TIFR | Total hours for period | LTIFR SCORE | TIFR SCORE
January
February
March
April
May
June
July
August
September
October
November
December
Total
LTIFR = number of lost time injuries in the period / number of hours worked in the period X 1,000,000
TIFR = number of all injuries in the period /  number of hours worked X 1,000,000
Spreadsheet: 766728d1644018248-multiple-employees-assigned-to-a-specific-manager-barniefifealt
Sheet: Sheet1

 | Total Day 1 | Total Day 2 | Total Day 3 | Total Day 4 | Total Day 5 | Total Sales | Manager
[NAME] | 3 | 10 | 7 | 8 | 4 | 32 | [NAME] |  |  |  |  |  |  |  |  |  | 0
[NAME] | 5 | 8 | 8 | 6 | 9 | 36 | [NAME] |  |  |  |  |  |  |  |  |  | 0
[NAME] | 10 | 12 | 4 | 8 | 7 | 41 | [NAME] |  |  |  |  |  |  |  |  |  | 0
[NAME] | 7 | 4 | 9 | 7 | 3 | 30 | [NAME] |  |  |  |  |  |  |  |  |  | 0
[NAME] | 15 | 3 | 6 | 6 | 8 | 38 | [NAME] |  |  |  |  |  |  |  |  |  | 0
[NAME] | 9 | 9 | 7 | 6 | 5 | 36 | [NAME] |  |  |  |  |  |  |  |  |  | 0
[NAME] | 4 | 8 | 2 | 7 | 7 | 28 | [NAME] |  |  |  |  |  |  |  |  |  | 0
[NAME] | 11 | 4 | 9 | 6 | 8 | 38 | [NAME] |  |  |  |  |  |  |  |  |  | 0
[NAME] | 7 | 8 | 3 | 6 | 5 | 29 | [NAME] |  |  |  |  |  |  |  |  |  | 0
[NAME] | 8 | 7 | 5 | 9 | 9 | 38 | [NAME] |  |  |  |  |  |  |  |  |  | 0
[NAME] | 5 | 11 | 13 | 8 | 8 | 45 | [NAME] |  |  |  |  |  |  |  |  |  | 0
[NAME] | 9 | 4 | 10 | 7 | 3 | 33 | [NAME] |  |  |  |  |  |  |  |  |  | 0
[NAME] | 6 | 7 | 5 | 12 | 6 | 36 | [NAME] |  |  |  |  |  |  |  |  |  | 0
Spreadsheet: 133754d1324578787-extract-data-from-one-tab-to-another-based-on-a-rule-customer-20brand-20and-20depot-20data-2-
Sheet: Customers

Customer_Brand | Customer_Depot | Customer_Name | Customer_Address1 | Customer_Address2 | Customer_Address3 | Customer_Address4 | Customer_PostCode | Customer_TelNo | ADDRESS 1 | ADDRESS 2 | ADDRESS 3 | ADDRESS 4 | POSTCODE | PHONE NUMBER | FAX NUMBER
3 | 301 | Mr [NAME] | House Name | The Road | The Town | The County | CM7 2RF | 01234 123456465
3 | 305 | Mr [NAME] | House Name | The Road | The Town | The County | CM7 2RF | 1235 123456465
3 | 305 | Mr [NAME] | House Name | The Road | The Town | The County | CM7 2RF | 1236 123456465
3 | 305 | Mr [NAME] | House Name | The Road | The Town | The County | CM7 2RF | 1237 123456465
3 | 306 | Mr [NAME] | House Name | The Road | The Town | The County | CM7 2RF | 1238 123456465
Spreadsheet: 776193d1649585870-if-cell-a3-equals-any-value-of-another-sheet-column-retrieve-value-of-corresponding-row-testb
Sheet: OVERVIEW

YEAR | QUARTER | [NAME] |  |  |  |  |  | REVENUES TVAC |  |  |  |  | BANK BALANCE
 |  | RECEIVED | TO RECEIVE | CANCELED | TOTAL |  |  | RECEIVED | TO RECEIVE | CANCELED | TOTAL
2021 | ALL |  |  |  |  |  |  |  |  |  |  |  | 2572.06
2022 | ALL |  |  |  |  |  |  |  |  |  |  |  | ...
2023 | ALL |  |  |  |  |  |  |  |  |  |  |  | ...
2024 | ALL |  |  |  |  |  |  |  |  |  |  |  | ...
2025 | ALL |  |  |  |  |  |  |  |  |  |  |  | ...
 |  | REVENUS TOTAUX HTVA |  |  |  |  |  | REVENUS TOTAUX TVAC
 |  | ESTIMATION DES REVENUS TOTAUX HTVA FUTURS (SUR BASE DE LA MAINTENCE) |  |  |  |  |  | ESTIMATION DES REVENUS TOTAUX TVAC FUTURS (SUR BASE DE LA MAINTENCE)
Spreadsheet: 131331d1322882984-vlookup-formula-not-working-aarontest
Sheet: Sheet1

[NAME] | Birks
[NAME] | Carvitto
[NAME] | Birks
Mark | [NAME]
Julie | Carvitto
[NAME] | Carvitto
Ray | Birks
Amber | [NAME]
[NAME] | [NAME]
Toby | [NAME]
[NAME] | Bailey
[NAME] | Bailey
Spreadsheet: d4b3f948-d82c-42fd-8aad-d99978469977
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8
 | Tabla 2. 3.1 | Precios [NAME] libre hasta dos años de antigüedad
 |  | según el valor de la vivienda
 | Primer trimestre 2004
 | Unidad: euros/m2
 |  | Menos de | Entre | Entre | Entre | Entre | Entre | Entre
 | Comunidades Autónomas | 150000 | 150.001 y 300.000 | 300.001 y 450.000 | 450.001 y 600.000 | 600.001 y 750.000 | 750.001 y 900.000 | 900.001 y 1.050.000
 |  | euros | euros | euros | euros | euros | euros | euros
 | Andalucía | 1069.5 | 1426.6 | 1790.5 | 1858.6 | 1969 | 2050.8 | 1778.5
 | Aragón | 1253.7 | 1479.1 | 1477.5 | 1340.8 | nr | nr | nr
 | Asturias | 1344.4 | 1654.2 | 1560.01 | 2230.13 | nr | nr | nr
 | Baleares | 1534.6 | 1778.2 | 1950.7 | 2128.3 | 2382.2 | 2075.6 | 2738.5
 | Canarias | 1269.9 | 1538.3 | 1609.6 | 2034.4 | 2263.9 | 2332.9 | nr
 | Cantabria | 1380.1 | 1655.6 | 1654.3 | 1629.6 | nr | nr | nr
 | Castilla y León | 1037.6 | 1233.1 | 1259 | 1336 | nr | nr | nr
 | [NAME] | 815.9 | 1143.3 | 1182.8 | 1201.2 | nr | nr | nr
 | Cataluña | 1416.1 | 1658.3 | 1757.8 | 1903.4 | 2106.7 | 2265.3 | 2550.2
 | Comunidad Valenciana | 1142 | 1458.7 | 1655.7 | 1847.4 | 1674.5 | 1454.5 | nr
 | Extremadura | 767.5 | 1045.3 | 1037.6 | 1217.4 | nr | nr | nr
 | [NAME] | 1050.6 | 1118.5 | 1169.8 | 1420.6 | 1674 | 1719.6 | nr
 | Madrid (Comunidad de) | 1713.1 | 2117.4 | 2284.7 | 2390.05 | 2660.78 | 2309.18 | 2436.9
 | [NAME] (Región de) | 1067.68 | 1302.06 | 1198.09 | 1895.05 | nr | nr | nr
 | Navarra | 1227.09 | 1315.16 | 1275.13 | 990.16 | nr | nr | nr
 | [NAME] | 2089.4 | 2168.9 | 2158.4 | 2142.7 | 1893 | 1963 | nr
 | Rioja (La) | 1112.9 | 1428.5 | 1443.8 | 1586.9 | nr | nr | nr
 | Ceuta y Melilla | 1133.2 | 1378.9 | 1172.1 | 1195.4 | nr | nr | nr
 | España | 1140.3 | 1557.1 | 1867.2 | 2021 | 2158.6 | 2137.6 | 2404.1
 | nr: el dato no es representativo o no existen observaciones
Spreadsheet: 144414d1330970662-help-highlight-duplicates-if-numeric-value-is-between-two-numbers-5012-test
Sheet: Score Sheet

Score Sheet
judge name
category
class
name1 | [NAME] | Idea / Concept 25 points (Uniqueness, overall strategy) | Implementation 25 points (Copywriting, design, cohesiveness (of elements), visual appeal, creativity) | Results 25 points (Impact, outcome) | TOTAL SCORE | RANK | COMMENTS
asdf | asdf | 5 |  |  | 5
asdf | asdf | 5 |  |  | 5
asdf | asdf | 25 |  |  | 25 | 1
asdf | asdf |  |  |  | 0
asdf | asdf | 5 |  |  | 5
asdf | asdf | 5 |  |  | 5
asdf | asdf | 20 |  |  | 20 | 2
asdf | asdf | 19 |  |  | 19 | 3
asdf | asdf | 19 |  |  | 19 | 3
asdf | asdf | 15 |  |  | 15
asdf | asdf | 10 |  |  | 10
asdf | asdf | 10 |  |  | 10
asdf | asdf | 5 |  |  | 5
asdf | asdf | 5 |  |  | 5
asdf | asdf | 1 |  |  | 1
Spreadsheet: c22a8d10-9198-43f8-9b26-46e7d2380ab1
Sheet: Locomotives 1965-Present

# | Contract | Manufacturer | Year | Type | Notes
50-53 | R-37 | General Electric | 1965 | 45T Diesel-Electric
54-59 | R-41 | General Electric | 1967-1968 | 45T Diesel-Electric
60-62 | R-43 | General Electric | 1971 | 45T Diesel-Electric
63-70 | R-47 | General Electric | 1974-1975 | 45T Diesel-Electric | Note 1
N1, N2 | R-47 | General Electric | 1974 | 47T Diesel-Electric | Note 2
71-82 | R-52 | General Electric | 1977 | 45T Diesel-Electric
883-902 | R-77 | General Electric | 1983 | SL50 50T Diesel-Electric
E01-E10 | R-77E | General Electric | 1983 | SL50E 50T Electric | Note 3
903-909 | R-120 | Republic Locomotive Works | 1991 | 50T Diesel-Electric | Note 4
912- | R-156 | Motive Power Industries | 2012-2013 | Diesel-Electric
Note 1.  #64 sent to Metro-North, used for switching Grand Central Terminal
Note 2. N1 & N2 owned by MTA "subsidiary" South Brooklyn Railway; typically used by NYCT in moves off-subway-property, for instance during car deliveries from Fresh Pond Yard or the Brooklyn waterfront, but can be seen anywhere in the system.
Note 3. Some units labeled "0ELxx" instead of "Exx". E06 loaned to Amtrak (where it wears number 400).
Note 4. Units labeled Lxxx or 0Lxxx.
Spreadsheet: 719006d1613469698-sumproduct-need-4-columns-sum-x4
Sheet: DATI

12345 | AA | 500 |  |  |  | 11
98321 | BB |  |  |  |  | 64 |  |  |  | 64
9449 | CC | 31 |  |  |  |  |  |  |  | 10
11341 | DD |  |  |  |  |  |  |  |  | 5
12365 | EE | 14 |  |  |  | 260 |  |  |  | 20
 | 12365 |  |  | <-------
 | 12345 |  |  | <-------
Spreadsheet: 805680d1668829233-search-tab-for-specific-text-then-offset-from-the-cell-containing-that-text-example
Sheet: Master Data

 | Data Items
 | 1 | Data Item #1 |  |  |  | Goals:
 | 2 | Data Item #2 |  |  |  | I am trying to avoid any links between tabs because Fund Tabs will be added and removed to this workbook
 | 3 | Data Item #3 |  |  |  | This is why I first thought of using INDIRECT formulas
 | 4 | Data Item #4 |  |  |  | But given many users will use this workbook, I am trying to dummy proof it, in case the data sources are not in the same location in each workbook
 |  |  |  |  |  | My thought is to replace the formulas below with something like this:
 | Fund Name |  |  |  |  | search the Fund 1 tab for the cell that contains "transaction links", then offset a certain number of rows based on the number of the data item, and a certain number of columns based on the date
 | 1 | Fund 1
 | 2 | Fund 2
 | 3 | Fund 3
 | 4 | Fund 4
 | I WILL INPUT THE NAME OF FUND AND DATA ITEM HERE
 | Fund Name | Data Item |  |  |  | 2022-12-31 00:00:00
 | Fund 1 | Data Item #1
 | Fund 1 | Data Item #2
 | Fund 2 | Data Item #3
Spreadsheet: 18aed9e6-529e-46dd-807c-7eff1cd126ea
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Grey Areas to be filled out by the Department
 |  |  | Eligibility Site: | Quarter Requiring QIP: | Meets Requirements | Reviewer:    Date Reviewed:
 |  | # | Review Criteria | Quality Improvement Plan (QIP) Submission | YES/NO | Department Comments
 |  |  | If cited for submitting MEQIP quarterly report (over 10 days), define the corrective action plan that will ensure timely submission in the future.
 |  |  | Address each case error and provide the approriate corrective action plan.
 |  |  | The date the quality improvement plan will be completed including training all staff.
 |  |  | The name and contact information of the supervisor responsible for the implementation of the CAP
 |  |  | Department Comments |  |  | Quality Improvement Plan
 |  |  |  |  |  | Accepted/No further action required
 |  |  |  |  |  | Plan needs revision                      Revision Due Date:
Spreadsheet: 180485d1347620873-sorting-dates-sorting-dates
Sheet: Sheet1

Date
2012-11-01 00:00:00
2012-11-01 00:00:00
2012-11-01 00:00:00
2012-11-01 00:00:00
2012-11-01 00:00:00
2012-11-01 00:00:00
2012-11-01 00:00:00
2012-11-01 00:00:00
2012-11-01 00:00:00
2012-11-01 00:00:00
2012-11-04 00:00:00
2012-11-04 00:00:00
2012-11-04 00:00:00
2012-11-04 00:00:00
2012-11-05 00:00:00
2012-11-05 00:00:00
2012-11-05 00:00:00
2012-11-05 00:00:00
2012-11-05 00:00:00
2012-11-05 00:00:00
2012-11-06 00:00:00
2012-12-03 00:00:00
1/13/2010 12:00:00 AM
1/13/2010 12:00:00 AM
1/13/2011 12:00:00 AM
1/13/2012 12:00:00 AM
1/13/2012 12:00:00 AM
1/14/2010 12:00:00 AM
1/14/2010 12:00:00 AM
1/14/2010 12:00:00 AM
1/14/2010 12:00:00 AM
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Spreadsheet: 841744d1693915800-count-age-range-formula-data-2023
Sheet: Master List - Partners Data

Age Group
15-24
15-24
15-24
15-24
15-24
15-24
15-24
15-24
15-24
15-24
15-24
15-24
15-24
15-24
15-24
15-24
15-24
15-24
15-24
15-24
 | [NAME] one
 | 0-5 | 6-14 | 15-24 | 25-60 | Above 60
Age Range
Spreadsheet: 768149d1644853723-xlookup-sumif-and-trend-functions-for-particle-size-distribution-calculation-particle-size-distribution-as-expected
Sheet: Sheet2

Particle size ([NAME]) | Percent (%)
 |  |  |  |  |  |  |  |  | Particle size interval (mm) | Quantity (%)
 |  |  |  |  |  |  |  | (lBo) | > 630 | -
 |  |  |  |  |  |  |  | (Bo) | > 200 to ≤ 630 | -
 |  |  |  |  |  |  |  | (Co) | > 63 to ≤ 200
 |  |  |  |  |  |  |  | (cGr) | > 20 to ≤ 63
 |  |  |  |  |  |  |  | (mGr) | > 6,3 to ≤ 20
 |  |  |  |  |  |  |  | (fGr) | >  2 to ≤ 6,3
 |  |  |  |  |  |  |  | ([NAME]) | >  0,63 to ≤ 2
 |  |  |  |  |  |  |  | (mSa) | >  0,20 to ≤ 0,63
 |  |  |  |  |  |  |  | (fSa) | >  0,063 to ≤ 0,20
 |  |  |  |  |  |  |  | (cSi) | >  0,02 to  ≤ 0,063
 |  |  |  |  |  |  |  | (mSi) | >  0,0063 to ≤ 0,02
 |  |  |  |  |  |  |  | (fSi) | >  0,002 to ≤ 0,0063
 |  |  |  |  |  |  |  | (Cl) | ≤0,002
Spreadsheet: 3ecbe6a9-161b-4544-8c27-5d578fd63e8f
Sheet: Sheet1

PROG ID | ATHLETE ID | ATHLETE FIRST | ATHLETE LAST | NATIONALITY | START NUMBER | SWIM | T1 | BIKE | T2 | RUN | POSITION | TOTAL TIME
261340 | 70661 | Shingo | Kuboyama | JPN | 20 | 00:19:53 | 00:02:27 | 00:35:58 | 00:02:20 | 00:22:18 | 1 | 01:22:56
261340 | 57734 | Kenji | Hashimoto | JPN | 22 | 00:17:32 | 00:01:38 | 00:37:27 | 00:01:47 | 00:28:07 | 2 | 01:26:31
261340 | 70659 | Daisuke | [NAME] | JPN | 19 | 00:14:34 | 00:01:23 | 00:41:51 | 00:01:39 | 00:29:22 | 3 | 01:28:49
261340 | 66274 | Shigeyuki | Sugawara | JPN | 21 | 00:26:14 | 00:02:21 | [NAME] | 00:02:18 | 00:19:01 | 4 | 01:29:35