tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 754385d1636129859-how-many-in-column-b-for-each-in-column-a-book1
Sheet: Sheet1

 |  | [NAME] needed:
Our Name | VDR Full Name | If ACTUAL name is in Column A, How many UNIQUE values correspond to that name in Column B?
Abalos,Kristal | Crystal
Abalos,Kristal | [NAME]
Abalos,Kristal | [NAME]
Abodunrin,Kolapo [NAME] | Kolapo Aboduaria
Abodunrin,Kolapo [NAME] | Kolapo Abodunria
Abodunrin,Kolapo [NAME] | Kolapo Abodunrin
Abodunrin,Kolapo [NAME] | Kolapo Aodunria
Abodunrin,Kolapo [NAME] | Kolapo O Abodunrin
Acevedo,[NAME] | Maria
Adlam,Shacole D | [NAME]
Adlam,Shacole D | [NAME]
Adlam,Shacole D | [NAME]
Adlam,Shacole D | Shacolle B Adlan
[NAME],[NAME] | [NAME]
[NAME],[NAME] | [NAME]
Akiri,[NAME] O | Bridgid O Akiri
Akiri,[NAME] O | Brigid
Akiri,[NAME] O | Brigid O Akiri
Akiri,[NAME] O | Brizid
Akiri,[NAME] O | Brigit
Akiri,[NAME] O | Bridged Apiri O
Akiri,[NAME] O | Brigette O Akiri
Akiri,[NAME] O | Brigid
Akiri,[NAME] O | Brigid O Akiri
Akiri,[NAME] O | [NAME] O Tkiri
Akiri,[NAME] O | Brigid O. Akiri
Akiri,[NAME] O | Brigid Oakiri
Akiri,[NAME] O | [NAME]
Akiri,[NAME] O | Brigit O Akiri
Akiri,[NAME] O | [NAME]
Akiri,[NAME] O | Bridged
Akiri,[NAME] O | Akiri
Akiri,[NAME] O | Brigid O. Akgri
Akiri,[NAME] O | Breged O Akiri
Alamutu,[NAME] | [NAME]
Alcoser,[NAME] | [NAME]
Alcoser,[NAME] | [NAME]
Alcoser,[NAME] | [NAME]
Alcoser,[NAME] | [NAME]
Aleman,[NAME] | [NAME]
Aleman,[NAME] | [NAME]
Aleman,[NAME] | [NAME]
Aleman,[NAME] | [NAME]
[NAME],[NAME] | [NAME]
[NAME],[NAME] | [NAME]
Alexis,Jovia | [NAME]
Alimeke,Trissa | [NAME]
Alimeke,Trissa | Trissa A Alimeke
Alimeke,Trissa | [NAME]
Alimeke,Trissa | [NAME]
Alimeke,Trissa | [NAME]
[NAME],[NAME] | [NAME]
[NAME],[NAME] | [NAME]
[NAME],[NAME] | [NAME]
[NAME],[NAME] | [NAME]
[NAME],[NAME] | [NAME]
[NAME],[NAME] | [NAME]
[NAME],[NAME] | [NAME]
[NAME],[NAME] | [NAME]
[NAME],[NAME] | [NAME]
[NAME],[NAME] | [NAME]
Almanza,[NAME] | Alexandra
Almanza,[NAME] | Alexandra Almanza
Almstead,[NAME] | [NAME]
Almstead,[NAME] | [NAME]
Almstead,[NAME] | [NAME]
Almstead,[NAME] | [NAME]
Alpough,Yolanda E
Alpough,Yolanda E | Yolanda Alpouch
Alpough,Yolanda E | Yolanda E Alpo
Alpough,Yolanda E | Yolanda E Alpough
Alpough,Yolanda E | [NAME]
Alpough,Yolanda E | Yolanda
Alpough,Yolanda E | Yolanda
Alsup,[NAME] | [NAME]
[NAME],[NAME] | Maria
[NAME],[NAME] | [NAME]
[NAME],[NAME] | [NAME]
[NAME],[NAME] | [NAME]
[NAME],[NAME] | [NAME]
Anders,[NAME] | [NAME]
Anders,[NAME] | Tara
Anders,[NAME] | [NAME]
[NAME],[NAME] | [NAME]
[NAME],[NAME] | [NAME]
[NAME],Rasheeda | Rasheeda
[NAME],Rasheeda | Rasheeda Amfela
[NAME],Rasheeda | [NAME]
[NAME],Rasheeda | Rashida Ansela
Spreadsheet: 267708d1380144115-help-with-solver-as-solver-gives-wrong-answer-help
Sheet: Q4

Winner of Race
Number of Minutes Hare is Behind Starting Position
Minute | Tortoise Position (feet) | Hare Position (Feet) | Who is Ahead
0 | 0 | 0
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
Spreadsheet: a9562f8a-682f-47d2-a462-8a389354ade2
Sheet: Sheet1

Table S3.  [NAME] (using MAQ to map reads to S288c genome) | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6
 | [NAME] Positive Pool (2 lanes) | Simi White Negative Pool (2 lanes) | Lalvin AC Positive Pool (1 lane) | Lalvin AC Negative Pool (1 lane) | SIHA  [NAME] (1 lane) | SIHA  [NAME] (1 lane)
single end reads | 18121287 | 18514604 | 8683066 | 8602646 | 9328071 | 9217763
mapped SE reads | 17220098 | 17781758 | 8278082 | 8285350 | 8930801 | 8855476
% mapped | 0.9502 | 0.9604 | 0.9533 | 0.9631 | 0.9574 | 0.9606
Average depth across all non-gap regions | 50.994 | 52.658 | 24.514 | 24.536 | 26.447 | 26.224
Average depth across 24bp unique regions | 47.759 | 48.964 | 22.755 | 22.726 | 24.61 | 24.234
Spreadsheet: 29256d1224128524-excel-pick-column-a-distinct-value-and-corresponding-column-c-max-value-cheeki
Sheet: Sheet1

Name | Book | Date
Name 1 | Book 1 | 2008-01-01 00:00:00
Name 1 | Book 2 | 2008-02-02 00:00:00
Name 2 | Book 1 | 2008-02-02 00:00:00
Name 2 | Book 2 | 2008-03-03 00:00:00
Name 2 | Book 3 | 2008-04-04 00:00:00
Name 3 | Book 1 | 2008-01-01 00:00:00
Name 3 | Book 2 | 2008-03-03 00:00:00
Name 3 | Book 3 | 2008-04-04 00:00:00
Name 3 | Book 4 | 2008-05-05 00:00:00
Name 3 | Book 5 | 2008-06-06 00:00:00
Name 3 | Book 6 | 2008-06-06 00:00:00
Name 3 | Book 7 | 2008-07-07 00:00:00
Spreadsheet: 869794d1716361595-auto-calculate-daily-income-from-a-list-example
Sheet: Sheet2

 |  |  |  |  |  |  |  |  |  |  |  |  | Week Number | Date | Weekly Total
 |  | Income |  |  |  |  | Expenses |  |  |  |  |  | Week 21 | May 20 - 26
 |  |  |  |  |  |  |  |  |  |  |  |  | Week 22 | May 27 - 2
 |  | Date | Amount | What For? | Payment Method |  | Date | Amount | What For? | Payment Method |  |  | Week 23 | June 3 - 9
 |  | 2024-05-21 00:00:00 | 85 |  | Cash |  | 2024-05-21 00:00:00 | 80 |  | Cash |  |  | Week 24 | June 10 - 16
 |  | 2024-05-21 00:00:00 | 146 |  | Bank Transfer |  | 2024-05-21 00:00:00 | 171.83 |  | Bank Transfer |  |  | Week 25 | June 17 - 23
 |  | 2024-05-21 00:00:00 | 35 |  | Cash |  | 2024-05-22 00:00:00 | 30 |  | Cash |  |  | Week 26 | June 24 - 30
 |  | 2024-05-22 00:00:00 | 160 |  | Card |  | 2024-05-22 00:00:00 | 70 |  | Cash |  |  | Week 27 | July 1 -7
 |  | 2024-05-22 00:00:00 | 92 |  | Cash |  | 2024-05-22 00:00:00 | 17 |  | Bank Transfer |  |  | Week 28 | July 8 - 14
 |  | 2024-05-22 00:00:00 | 65 |  | Cash |  | 2024-05-22 00:00:00 | 14.39 |  | Bank Transfer |  |  | Week 29 | July 15 - 21
 |  | 2024-05-22 00:00:00 | 124.7 |  | Bank Transfer |  |  |  |  |  |  |  | Week 30 | July 22 - 28
 |  | 2024-05-22 00:00:00 | 199 |  | Card |  |  |  |  |  |  |  | Week 31 | July 29 - 04
 |  |  |  |  |  |  |  |  |  |  |  |  | Week 32 | August 5 - 11
 |  |  |  |  |  |  |  |  |  |  |  |  | Week 33 | August 12 - 18
 |  |  |  |  |  |  |  |  |  |  |  |  | Week 34 | August 19 - 25
 |  |  |  |  |  |  |  |  |  |  |  |  | Week 35 | August 26 - 01
 |  |  |  |  |  |  |  |  |  |  |  |  | Week 36 | September 02 - 8
 |  |  |  |  |  |  |  |  |  |  |  |  | Week 37 | September 9 - 15
 |  |  |  |  |  |  |  |  |  |  |  |  | Week 38 | September 16 - 22
 |  |  |  |  |  |  |  |  |  |  |  |  | Week 39 | September 23 - 29
 |  |  |  |  |  |  |  |  |  |  |  |  | Week 40 | September 30 - 6
 |  |  |  |  |  |  |  |  |  |  |  |  | Week 41 | October 7 - 13
 |  |  |  |  |  |  |  |  |  |  |  |  | Week 42 | October 14 - 20
 |  |  |  |  |  |  |  |  |  |  |  |  | Week 43 | October 21 - 27
 |  |  |  |  |  |  |  |  |  |  |  |  | Week 44 | October 28 - 3
 |  |  |  |  |  |  |  |  |  |  |  |  | Week 45 | November 4 - 10
 |  |  |  |  |  |  |  |  |  |  |  |  | Week 46 | November 11 - 17
 |  |  |  |  |  |  |  |  |  |  |  |  | Week 47 | November 18 - 24
 |  |  |  |  |  |  |  |  |  |  |  |  | Week 48 | November 25 - 1
 |  |  |  |  |  |  |  |  |  |  |  |  | Week 49 | December 2 - 8
 |  |  |  |  |  |  |  |  |  |  |  |  | Week 50 | December 9 - 15
 |  |  |  |  |  |  |  |  |  |  |  |  | Week 51 | December 16 - 22
 |  |  |  |  |  |  |  |  |  |  |  |  | Week 52 | December 23 - 29
 |  |  |  |  |  |  |  |  |  |  |  |  |  | Total
 |  | Total |  |  |  |  | Total
 |  |  |  |  | Running Total
Spreadsheet: 868257d1715001327-use-only-1-formula-to-populate-the-information-in-various-columns-which-are-question-2
Sheet: Question

 |  |  | TABLE 1
 |  |  | ID # | Name | Fruit | COMPUTER NAME | Telephone # | Sports | Equipment | Country | Country code | Weather
 |  |  | 1 | Name |  | Acer | 123654 |  | Table |  | 92
 |  |  | 2 |  |  | Dell | 321456 |  | chair |  | 45
 |  |  | 3 |  |  | Compaq | 3221455 |  | Table |  | 44
 |  |  | 4 |  |  | HP | 852254 |  | Table |  | 33
 |  |  | 850 |  |  | Lenovo | 114456 |  | Table |  | 22
 |  |  | 6 |  |  | Dell | 222146 |  | Table |  | 11
 |  |  | 7 |  |  | Acer | 2222446 |  | Table |  | 10
 |  |  | TABLE 2- SOURCE DATA
 |  |  | ID # | Name | Country | Movie | TOY | xbox game | Animal | Sports | Cars | Fruit | Playstation | Weather
 |  |  | 1 | Romario | Holland | Message | CAR | RDR | Cheetah | soccer | Honda | apple | xbox | Fall
 |  |  | 2 | [NAME] | Argentina | ALPHA | truck | prince of persia | lion | table tennis | toyota | orange | PS3 | Spring
 |  |  | 3 | [NAME] | USA | BRAVO | guns | evil within | tiger | tennis | camry | mango | Atari | Winter
 |  |  | 4 | [NAME] | Sweden | CHARLIE | roses | fifa | zebra | pickle ball | civic | kiwi | Computer | Summer
 |  |  | 5 | Inesta | Korea | Delta | chairs | NBA 2 | kangroo | hockey | BMW | guava | Sonic | Snow
 |  |  | 6 | [NAME] | Spain | Toy story | table | Fabel | cat | [NAME] | volvo | [NAME] | GameShop | Heat Wave
 |  |  | 7 | [NAME] | Brazil | Lier Lier | paper | Call of duty | horse | cricket | Mazda | blueberry | Physical | Nothing
 |  |  | FINAL RESULT AFTER ENTERING A FORMULA IN TABLE 1  SHOULD BE
 |  |  | ID # | Name | Fruit | COMPUTER NAME | Telephone # | Sports | Equipment | Country | Country code | Weather
 |  |  | 1 | Romario | apple | Acer | 123654 | soccer | Table | Holland | 92 | Fall
 |  |  | 2 | [NAME] | orange | Dell | 321456 | table tennis | chair | Argentina | 45 | Spring
 |  |  | 3 | [NAME] | mango | Compaq | 3221455 | tennis | Table | USA | 44 | Winter
 |  |  | 4 | [NAME] | kiwi | HP | 852254 | pickle ball | Table | Sweden | 33 | Summer
 |  |  | 850 |  |  | Lenovo | 114456 |  | Table |  | 22
 |  |  | 6 | [NAME] | [NAME] | Dell | 222146 | [NAME] | Table | Spain | 11 | Heat Wave
 |  |  | 7 | [NAME] | blueberry | Acer | 2222446 | cricket | Table | Brazil | 10 | Nothing
Spreadsheet: 836251d1689213994-how-to-sum-comparing-two-lists-and-return-differences-compare-data
Sheet: Sheet1

 | Data 1 |  |  |  |  |  | Data 2
 | Package | Product Code | Unit | Compare Total Units |  |  | Package | Product Code | Unit
 | 1 | Pen01 | 1 |  |  |  | 3 | BW0021 | 1
 | 1 | Pen01 | 1 |  |  |  | 3 | MK002 | 1
 | 1 | AP001 | 1 |  |  |  | 3 | [NAME] | 1
 | 2 | MK002 | 1 |  |  |  | 3 | [NAME] | 1
 | 2 | MK002 | 1 |  |  |  | 3 | AKW001 | 1
 | 2 | MK002 | 1 |  |  |  | 3 | AKW001 | 1
 | 2 | AP001 | 1 |  |  |  | 3 | BW0021 | 1
 | 3 | BW0021 | 1 |  |  |  | 5 | AP001 | 1
 | 3 | BW0021 | 1 |  |  |  | 5 | PD0012 | 1
 | 3 | MK002 | 1 |  |  |  | 5 | Pen01 | 1
 | 3 | [NAME] | 1 |  |  |  | 5 | [NAME] | 1
 | 3 | [NAME] | 1 |  |  |  | 5 | [NAME] | 1
 | 3 | AKW001 | 1 |  |  |  | 5 | AKW001 | 1
 | 3 | AKW001 | 1 |  |  |  | 5 | MK002 | 1
 | 4 | CK0201 | 1 |  |  |  | 5 | MK002 | 1
 | 4 | AP001 | 1 |  |  |  | 5 | AP001 | 1
 | 4 | JK0021 | 1 |  |  |  | 1 | Pen01 | 1
 | 4 | JK0021 | 1 |  |  |  | 1 | Pen01 | 1
 | 5 | AP001 | 1 |  |  |  | 1 | AP001 | 1
 | 5 | PD0012 | 1 |  |  |  | 1 | AP001 | 1
 | 5 | Pen01 | 1 |  |  |  | 4 | QB0012 | 1
 | 5 | [NAME] | 1 |  |  |  | 4 | CK0201 | 1
 | 5 | AKW001 | 1 |  |  |  | 4 | AP001 | 1
 | 5 | MK002 | 1 |  |  |  | 4 | JK0021 | 1
 | 5 | MK002 | 1 |  |  |  | 4 | JK0021 | 1
 |  |  |  |  |  |  | 2 | MK002 | 1
 |  |  |  |  |  |  | 2 | MK002 | 1
 |  |  |  |  |  |  | 2 | MK002 | 1
 |  |  |  |  |  |  | 2 | AP001 | 1
Spreadsheet: eb75bf68-dc1d-4a73-a698-cd5e4975ed0a
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 | Grand Rapids | 0 | Houston | 3 | Final | Toyota [NAME], TX
2013-04-28 | 2 | Grand Rapids | 3 | Houston | 2 | Final | Toyota [NAME], TX
2013-05-01 | 3 | Houston | 2 | Grand Rapids | 4 | Final | [NAME] Arena Grand Rapids, MI
2013-05-03 | 4 | Houston | 4 | Grand Rapids | 1 | Final | [NAME] Arena Grand Rapids, MI
2013-05-04 | 5 | Houston | 0 | Grand Rapids | 7 | Final | [NAME] Arena Grand Rapids, MI
Spreadsheet: 704959d1605816044-random-string-generate-based-on-probabilities-random-string-generator
Sheet: Sheet2

0 |  |  | 0 |  |  | 0
Spreadsheet: 525287d1498657679-calculating-dates-between-months-backdateexample
Sheet: Sheet1

Day Contract Was Written | Updated Contract Start Date | Days Impacted in Other Months
2017-06-01 00:00:00 | 2017-05-30 00:00:00 | 2
2017-06-05 00:00:00 | 2017-06-01 00:00:00 | 0
2017-06-01 00:00:00 | 2017-04-01 00:00:00 | 61
2017-06-05 00:00:00 | 2017-04-01 00:00:00 | 61
2017-06-30 00:00:00 | 2017-07-02 00:00:00 | 2
2017-06-01 00:00:00 | 2017-06-05 00:00:00 | 0
2017-06-01 00:00:00 | 2017-08-01 00:00:00 | 32
2017-06-05 00:00:00 | 2017-08-01 00:00:00 | 32
Spreadsheet: 299969d1393338964-space-and-group-cells-based-on-criteria-from-other-cells-sample
Sheet: Sheet1

(Original Content) |  |  |  | (End Result)
Drawer type | Item Number | Description |  | Description
HALF | 823402 | #4 x 3/8 |  | #4 x 3/8
FULL | 823404 | #4 x 1/2
HALF | 823406 | #4 x 5/8 |  | #4 x 1/2
FULL | 823408 | #4 x 3/4
HALF | 823416 | #6 x 3/8 |  | #4 x 5/8
HALF | 823418 | #6 x 1/2
HALF | 823420 | #6 x 5/8 |  | #4 x 3/4
FULL | 823422 | #6 x 3/4
HALF | 823426 | #6 x 1 |  | #6 x 3/8
HALF | 823428 | #6 x 1-1/4 |  | #6 x 1/2
HALF | 823430 | #6 x 1-1/2 |  | #6 x 5/8
 |  |  |  | #6 x 3/4
 |  |  |  | #6 x 1
 |  |  |  | #6 x 1-1/4
 |  |  |  | #6 x 1-1/2
Spreadsheet: stacey_white__38834__new curve request_Boston
Sheet: Sheet1

 |  |  |  | Enron Corporation
 |  |  |  | New Curve Setup Form
To: | Risk Analysis & Reporting ([NAME]/[NAME]) |  | Request #
From: | [NAME] |  | Department: | Risk Management
Subject: | New Curve Setup |  | Date:
 | To be Completed by Book Administrator:
 |  |  |  |  | Reporting -Subledger
 | Book Administrator Name: | Casey Evans
 |  |  |  |  | MTM | Prud | Realized
 | Trader Requesting New Curve: | [NAME]
 | Curve Code: | R1P
 | Full Name and Description of Curve: | Boston
 | Commodity: | PWR
 | Unit of Measure: | MW/ hour
 | [NAME]: | R1B
 | To be Provided by Risk Analysis & Reporting/RAC:
 | [NAME]. Factor:
 | Curve Setup Checklist: | Undertaken by (please initial): | Date:
1 | Add Curve to Trading System
2 | [NAME] to GRMS Benchmark Definitions
3 | [NAME] to GRMS Value at Risk
Spreadsheet: 4ec44d6a-6137-4345-9cf0-c90b58e65dc9
Sheet: 9c

Product | AUD** | CAD | CHF | DKK | KRW | NOK | NZD | SEK | ZAR | TOTAL
Basis* | 153954 | 80480 | 162551 | <1,000 |  | <1,000 |  | <1,000 |  | 396985
FRA |  |  | 456420 | 128580 |  | 352422 |  | 966407 |  | 1903829
IRS- [NAME] | 2935833 | 3183027 | 1606222 | 108578 |  | 299472 | 634998 | 1098740 | 500381 | 10367251
OIS |  | 365603 | 83238 |  |  |  |  |  |  | 448841
VNS
Zero Coupon | 5462 | 2889 |  |  |  |  | 0 | <1,000 |  | 8351
TOTAL | 3095249 | 3631999 | 2308431 | 237159 |  | 651895 | 634998 | 2065147 | 500381 | 13125259
Estimated gross notional amount outstanding, October 25 weekly snapshot, by product type and supermajor currency (millions of USD), cleared swaps only, all participant types and tenors. Data are adjusted for double-counting of cleared trades to show a single exposure for each trade.
Total(s) may be less than total shown for this asset class in the All Swaps reports and/or other CFTC Swaps Report tables if products were excluded from this table that (a) presented disclosure risk or (b) did not belong in the categories shown. See Explanatory Notes for more detail.
*See Data Dictionary for product descriptions.
**See Explanatory Notes for currency descriptions.
***N/A indicates that data are not currently available.
The Commission requests feedback on the format and content of this CFTC Swaps Report table. Submit comments to [EMAIL].
Spreadsheet: 474447d1470757142-vlookup-post-code-region-post-code-regions
Sheet: Addresses

Broker Postcode | First Postcode | Region
FY4 4BW | FY | NORTH WEST ENGLAND
MK9 2LA | MK | EAST ANGLIA
M3 5EQ | M | NORTH WEST ENGLAND
B27 6LG | B | THE MIDLANDS
DD2 1JQ | DD | SCOTLAND
PH1 1PP | PH | SCOTLAND
PH1 1PP | PH | SCOTLAND
TW15 2RP | TW | SOUTH EAST ENGLAND
GU35 0AX | GU | SOUTH CENTRAL ENGLAND
Spreadsheet: 74774d1275313353-enter-the-value-from-one-cell-based-on-comparison-of-two-other-cells-sample
Sheet: 2

User | TItle | Security
User1 |  | Level1
User1 |  | Level2
User1 |  | Level3
User1 |  | Level4
User2 |  | Level1
User2 |  | Level2
User3 |  | Level1
User4 |  | Level1
User4 |  | Level2
[NAME] |  | Level1
[NAME] |  | Level2
[NAME] |  | Level3
[NAME] |  | Level1
[NAME] |  | Level2
[NAME] |  | Level3
[NAME] |  | Level4
[NAME] |  | Level5
[NAME] |  | Level6
User7 |  | Level1
Spreadsheet: 467059d1466544259-conditional-format-calendar-5-5-2-2
Sheet: Sep

 | Sunday | Monday | Tuesday | Wednesday | Thursday | Friday | Saturday
 |  | Notes:
Spreadsheet: 862183d1709926661-how-to-use-solver-new-user-solver_mod
Sheet: Sheet1

 |  | Working min | Total Minutes | Total Operator | Target Output
 |  | 480 |  | 14 | 259
Operation Minutes
Operation | Machine Type | Operator 1 | Operator 2 | Operator 3 | Operator 4 | Operator 5 | Operator 6 | Operator 7 | Operator 8 | Operator 9 | Operator 10 | Operator 11 | Operator 12 | Operator 13 | Operator 14
OP03-402 | A | 1.72 | 1.72 | 1.72 | 1.72 | 1.72 | 1.72 | 1.72 | 1.72 | 1.72 | 1.72 | 1.72 | 1.72 | 1.72 | 1.72
OP03-102 | A | 1.51 | 1.51 | 1.51 | 1.51 | 1.51 | 1.51 | 1.51 | 1.51 | 1.51 | 1.51 | 1.51 | 1.51 | 1.51 | 1.51
OP03-413 | B | 4.72 | 4.72 | 4.72 | 4.72 | 4.72 | 4.72 | 4.72 | 4.72 | 4.72 | 4.72 | 4.72 | 4.72 | 4.72 | 4.72
OP03-107 | B | 5.44 | 5.44 | 5.44 | 5.44 | 5.44 | 5.44 | 5.44 | 5.44 | 5.44 | 5.44 | 5.44 | 5.44 | 5.44 | 5.44
OP03-212 | B | 4.65 | 4.65 | 4.65 | 4.65 | 4.65 | 4.65 | 4.65 | 4.65 | 4.65 | 4.65 | 4.65 | 4.65 | 4.65 | 4.65
OP03-412 | B | 2.68 | 2.68 | 2.68 | 2.68 | 2.68 | 2.68 | 2.68 | 2.68 | 2.68 | 2.68 | 2.68 | 2.68 | 2.68 | 2.68
OP03-602 | B | 4.09 | 4.09 | 4.09 | 4.09 | 4.09 | 4.09 | 4.09 | 4.09 | 4.09 | 4.09 | 4.09 | 4.09 | 4.09 | 4.09
OP03-411 | B | 0.59 | 0.59 | 0.59 | 0.59 | 0.59 | 0.59 | 0.59 | 0.59 | 0.59 | 0.59 | 0.59 | 0.59 | 0.59 | 0.59
Qty/operator
Operation | Machine Type | Operator 1 | Operator 2 | Operator 3 | Operator 4 | Operator 5 | Operator 6 | Operator 7 | Operator 8 | Operator 9 | Operator 10 | Operator 11 | Operator 12 | Operator 13 | Operator 14 | Total | Target
OP03-402 | A | 51.69186046511626 | 207.3081395348837 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
OP03-102 | A | 259 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
OP03-413 | B | 0 | 0 | 0 | 0 | 56.33050847457631 | 101.6949152542374 | 100.9745762711864 | 0 | 0 | 0 | 0 | 0 | 0 | 0
OP03-107 | B | 0 | 0 | 0 | 0 | 0 | 0 | 0.625000000000071 | 88.23529411764704 | 0 | 88.23529411764704 | 0 | 0 | 47.75183823529424 | 34.15257352941165
OP03-212 | B | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5.187096774193598 | 0 | 103.2258064516129 | 103.2258064516129 | 47.36129032258052 | 0
OP03-412 | B | 0 | 0 | 0 | 179.1044776119404 | 79.89552238805965 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
OP03-602 | B | 0 | 30.17848410757946 | 117.359413202934 | 0 | 0 | 0 | 0 | 0 | 111.4621026894865 | 0 | 0 | 0 | 0 | 0
OP03-411 | B | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 259
Total Minutes
Working Minutes
Spreadsheet: 58389d1258642411-sports-stats-statpagetest
Sheet: Sheet1

Season | Team A | Score | Opponent | Score | Result
1973-74 | A | 45 | B | 55 | L
1973-74 | A | 22 | C | 70 | L
1973-74 | A | 37 | D | 60 | L
1973-74 | A | 88 | E | 11 | W
1973-74 | A | 44 | F | 46 | L
1974-75 | A | 22 | C | 66 | L
1974-75 | A | 44 | G | 45 | L
1974-75 | A | 66 | E | 22 | W
1975-76 | A | 11 | B | 77 | L
1975-76 | A | 22 | C | 66 | L
1976-77 | A | 44 | B | 42 | W
1976-77 | A | 66 | C | 55 | W
1976-77 | A | 52 | F | 50 | W
1976-77 | A | 32 | G | 30 | W
1976-77 | A | 89 | K | 3 | W
1976-77 | A | 14 | L | 15 | L
1977-78 | A | 99 | B | 1 | W
1977-78 | A | 11 | E | 14 | L
1979-80 | A | 34 | C | 33 | W
1980-81 | A | 32 | G | 30 | W
1980-81 | A | 24 | B | 26 | L
Spreadsheet: 7f4f71ab-4fec-4148-9937-9f21486049fa
Sheet: 12a

Product1 | Cleared2 | Uncleared | TOTAL
Cross_Currency Basis | 0 | 88878 | 88878
Cross_Currency Fixed-Fixed | 0 | 2685 | 2685
Cross_Currency Fixed-Float | 0 | 22111 | 22111
TOTAL | - | 113674 | 113674
Spreadsheet: 50810d1250282841-plot-with-dropdown-menu-chart
Sheet: Sheet1

 | Mileage Driven
Date | Car-1 | Car-2 | Car-3 | Car-4
2009-08-01 00:00:00 | 10 | 0 | 15 | 30
2009-08-02 00:00:00 | 30 | 0 | 15 | 30
2009-08-03 00:00:00 | 30 | 10 | 33 | 22
2009-08-04 00:00:00 | 20 | 20 | 32 | 22
2009-08-05 00:00:00 | 50 | 30 | 11 | 10
2009-08-06 00:00:00 | 50 | 30 | 22 | 15
2009-08-07 00:00:00 | 50 | 30 | 55 | 40
2009-08-08 00:00:00 | 20 | 20 | 66 | 35
2009-08-09 00:00:00 | 0 | 20 | 22 | 35
2009-08-10 00:00:00 | 0 | 20 | 53 | 30
2009-08-11 00:00:00 | 60 | 20 | 33 | 22
 | Expences
Date | Car-1 | Car-2 | Car-3 | Car-4
2009-08-01 00:00:00 | 15 | 0 | 22.5 | 45
2009-08-02 00:00:00 | 45 | 0 | 22.5 | 45
2009-08-03 00:00:00 | 45 | 15 | 49.5 | 33
2009-08-04 00:00:00 | 30 | 30 | 48 | 33
2009-08-05 00:00:00 | 75 | 45 | 16.5 | 15
2009-08-06 00:00:00 | 75 | 45 | 33 | 22.5
2009-08-07 00:00:00 | 75 | 45 | 82.5 | 60
2009-08-08 00:00:00 | 30 | 30 | 99 | 52.5
2009-08-09 00:00:00 | 0 | 30 | 33 | 52.5
2009-08-10 00:00:00 | 0 | 30 | 79.5 | 45
2009-08-11 00:00:00 | 90 | 30 | 49.5 | 33
Spreadsheet: 733689d1621711468-how-to-find-the-correct-value-when-considering-two-variables-book2
Sheet: Sheet1

No. | Stop | Lap |  | [NAME] | Driver | # Stops | 1 | 2 | 3 | 4 | 5
3 | 1 | 13 |  | 3 | [NAME] | 2
3 | 2 | 32 |  | 4 | Lando NORRIS | 2
4 | 1 | 12 |  | 5 | [NAME] | 1
4 | 2 | 33 |  | 6 | [NAME] | 2
5 | 1 | 24 |  | 7 | Kimi RAIKKONEN | 2
6 | 1 | 14 |  | 9 | Nikita MAZEPIN | 0
6 | 2 | 32 |  | 10 | [NAME] | 3
7 | 1 | 13 |  | 11 | [NAME] | 3
7 | 2 | 29 |  | 14 | [NAME] | 2
10 | 1 | 4 |  | 16 | [NAME] | 2
10 | 2 | 19 |  | 18 | Lance STROLL | 2
10 | 3 | 39 |  | 22 | [NAME] | 2
11 | 1 | 2 |  | 31 | Esteban OCON | 2
11 | 2 | 19 |  | 33 | [NAME] | 2
11 | 3 | 38 |  | 44 | [NAME] | 2
14 | 1 | 11 |  | 47 | [NAME] | 2
14 | 2 | 29 |  | 55 | [NAME] | 2
16 | 1 | 12 |  | 63 | [NAME] | 2
16 | 2 | 32 |  | 77 | Valtteri BOTTAS | 3
18 | 1 | 12 |  | 99 | [NAME] | 2
18 | 2 | 28
22 | 1 | 15
22 | 2 | 33
31 | 1 | 13
31 | 2 | 31
33 | 1 | 17
33 | 2 | 39
44 | 1 | 13
44 | 2 | 28
47 | 1 | 14
47 | 2 | 33
55 | 1 | 15
55 | 2 | 37
63 | 1 | 13
63 | 2 | 36
77 | 1 | 16
77 | 2 | 30
77 | 3 | 54
99 | 1 | 12
99 | 2 | 30