tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 755990d1637225157-counting-by-weeks-sum_sample
Sheet: Sheet1

 | 2021-01-01 00:00:00 | 2021-01-02 00:00:00 | 2021-01-03 00:00:00 | 2021-01-04 00:00:00 | 2021-01-05 00:00:00 | 2021-01-06 00:00:00 | 2021-01-07 00:00:00 | 2021-01-08 00:00:00 | 2021-01-09 00:00:00 | 2021-01-10 00:00:00 | 2021-01-11 00:00:00 | 2021-01-12 00:00:00 | 2021-01-13 00:00:00 | 2021-01-14 00:00:00 | 2021-01-15 00:00:00 | 2021-01-16 00:00:00
Spreadsheet: 117817d1313054842-calculating-overtime-hours-on-a-daily-and-weekly-basis-kels-timesheet2
Sheet: Sheet1

 | start | stop | lunch on | lunch off | total | 1x | 1.5x | 2x
Monday | 07:00:00 | 19:00:00 | 12:30:00 | 13:00:00 | 11.5 | 8 | 2 | 1.5
Tuesday | 07:00:00 | 19:00:00 | 12:30:00 | 13:00:00 | 11.5 | 8 | 2 | 1.5
Wednesday | 07:00:00 | 19:00:00 | 12:30:00 | 13:00:00 | 11.5 | 8 | 2 | 1.5
Thursday | 07:00:00 | 15:00:00 | 12:30:00 | 13:00:00 | 7.500000000000002 | 7.500000000000002 | 0 | 0
Friday | 07:00:00 | 19:00:00 | 12:30:00 | 13:00:00 | 11.5 | 8 | 2 | 1.5
Saturday |  |  |  |  | 0 |  | 0 | 0
Sunday |  |  |  |  | 0 |  |  | 0
 |  |  |  |  |  | 31.5
Spreadsheet: 857500d1706517010-why-doesnt-the-formula-sort-a2-c6-f2-h6-3-1-work-sorting-two-arrays-into-one-array
Sheet: Sheet1

Surname | Christan name | Date of birth |  |  | Surname | Christan name | Date of birth
Smith | [NAME] | 1975-01-08 00:00:00 |  |  | [NAME] | [NAME] | 1975-10-05 00:00:00
Jones | [NAME] | 1998-08-02 00:00:00 |  |  | Contrary | [NAME] | 2014-09-25 00:00:00
[NAME] | [NAME] | 1992-08-22 00:00:00 |  |  | Doctor | Who | 1938-12-09 00:00:00
Watts | [NAME] | 2016-12-22 00:00:00
Desired Output |  |  |  | Why doesn't the formula =[NAME]:C6;F2:H6},3,1) work?
Smith | [NAME] | 1975-01-08 00:00:00
Doctor | Who | 1938-12-09 00:00:00 |  | =[NAME]:C6;F2:H6},3,1)
[NAME] | [NAME] | 1975-10-05 00:00:00
[NAME] | [NAME] | 1992-08-22 00:00:00
Jones | [NAME] | 1998-08-02 00:00:00
Contrary | [NAME] | 2014-09-25 00:00:00
Watts | [NAME] | 2016-12-22 00:00:00
Spreadsheet: 72853d1273577866-merging-time-and-date-so-i-can-count-variables-that-occur-during-1-hour-example
Sheet: Sheet1

F1 | F2 | F3
2000-04-02 00:00:00 | 18:54:39 | 1
2000-04-02 00:00:00 | 18:54:48 | 2
2000-04-02 00:00:00 | 18:55:58 | 3
2000-04-02 00:00:00 | 18:56:08 | 4
2000-04-02 00:00:00 | 18:56:39 | 5
2000-04-02 00:00:00 | 18:56:40 | 6
2000-04-02 00:00:00 | 18:57:27 | 7
2000-04-02 00:00:00 | 18:58:30 | 8
2000-04-02 00:00:00 | 18:59:35 | 9
2000-04-02 00:00:00 | 18:59:44 | 10
2000-04-02 00:00:00 | 18:59:46 | 11
2000-04-02 00:00:00 | 18:59:51 | 12
2000-04-02 00:00:00 | 18:59:54 | 1
2000-04-02 00:00:00 | 18:59:58 | 2
2000-04-02 00:00:00 | 19:00:02 | 3
2000-04-02 00:00:00 | 19:00:08 | 4
2000-04-02 00:00:00 | 19:00:14 | 5
2000-04-02 00:00:00 | 19:00:17 | 6
2000-04-02 00:00:00 | 19:01:13 | 7
2000-04-02 00:00:00 | 19:01:20 | 8
2000-04-02 00:00:00 | 19:01:41 | 9
2000-04-02 00:00:00 | 19:02:27 | 10
2000-04-02 00:00:00 | 19:02:48 | 11
2000-04-02 00:00:00 | 19:02:51 | 12
2000-04-02 00:00:00 | 19:03:01 | 13
2000-04-02 00:00:00 | 19:03:07 | 14
2000-04-02 00:00:00 | 19:03:23 | 15
2000-04-02 00:00:00 | 19:03:25 | 16
2000-04-02 00:00:00 | 19:03:29 | 17
2000-04-02 00:00:00 | 19:03:46 | 18
2000-04-02 00:00:00 | 19:03:53 | 19
2000-04-02 00:00:00 | 20:01:00 | 1
2000-04-02 00:00:00 | 20:02:00 | 2
2000-04-02 00:00:00 | 20:03:00 | 3
2000-04-02 00:00:00 | 20:04:00 | 4
2000-04-02 00:00:00 | 20:05:00 | 5
2000-04-02 00:00:00 | 20:06:00 | 6
2000-04-02 00:00:00 | 20:07:00 | 7
2000-04-02 00:00:00 | 20:08:00 | 8
2000-04-02 00:00:00 | 20:09:00 | 9
2000-04-02 00:00:00 | 20:10:00 | 10
2000-04-02 00:00:00 | 20:11:00 | 11
2000-04-02 00:00:00 | 20:12:00 | 12
2000-04-02 00:00:00 | 20:13:00 | 13
2000-04-02 00:00:00 | 20:14:00 | 14
2000-04-02 00:00:00 | 20:15:00 | 15
2000-04-02 00:00:00 | 20:16:00 | 16
Spreadsheet: 839973d1692340897-count-distinct-countifdistincttemp2
Sheet: Data

UID | Category | Gender | Year Level | Title
45393 | Sporting Involvement | M | 7 | Year 7 Premier League
45393 | Sporting Involvement | M | 8 | SACCSS Cross Country |  |  | Title | Gender | Year Level | Club
48421 | Co-Curricular Activities | F | 9 | Writers Club participation |  |  | Anime Club | M | 7
45467 | Sporting Involvement | M | 8 | Year 7 Premier League
44756 | Sporting Involvement | M | 9 | Year 7 Premier League
45388 | Co-Curricular Activities | F | 8 | Junior Band
47037 | Sporting Involvement | M | 10 | Year 7 Premier League
45523 | Co-Curricular Activities | M | 8 | Lunchtime Languages Club
45147 | Academic Contribution | F | 9 | Showing the school ethos
45147 | Sporting Involvement | M | 7 | Year 7 Premier League
45147 | Sporting Involvement | M | 7 | SACCSS Cross Country
45173 | Co-Curricular Activities | F | 7 | Writers Club participation
45551 | Co-Curricular Activities | F | 8 | Anime Club
45551 | Co-Curricular Activities | M | 9 | Politics Club
45551 | Co-Curricular Activities | M | 7 | DRC Politics Club
45551 | Co-Curricular Activities | M | 8 | Anime Club
44585 | Co-Curricular Activities | F | 7 | Politics Club Attendance
Spreadsheet: 713474d1610728701-using-countifs-across-numerous-columns-within-a-subtotal-forum-example-2
Sheet: Sheet1

 | # of Outlets | Green | Amber | Red
01. Bar
02. Bar & Kitchen
03. Events Venue
04. Holiday Park
05. Hotel
06. [NAME]
07. Local
08. [NAME]
09. Restaurant
10. Sports/Social Club
11. Leisure/Health Club
12. Unknown
Total
 | % Open
Outlet Type | Outlet Quality | Outlet Open? | Owner | Outdoor Space?
01. Bar | P | GREEN | Company A | Y
02. Bar & Kitchen | P | AMBER | Company B | N
03. Events Venue | U | RED | Company C | Y
04. Holiday Park | P | GREEN | Company A | N
05. Hotel | P | AMBER | Company B | Y
06. [NAME] | U | RED | Company C | N
07. Local | P | GREEN | Company A | Y
08. [NAME] | V | AMBER | Company B | N
09. Restaurant | M | RED | Company C | Y
10. Sports/Social Club | P | GREEN | Company A | N
11. Leisure/Health Club | U | AMBER | Company B | Y
12. Unknown | U | RED | Company C | N
01. Bar | P | GREEN | Company A | Y
02. Bar & Kitchen | P | AMBER | Company B | N
03. Events Venue | V | RED | Company C | Y
04. Holiday Park | U | GREEN | Company A | N
05. Hotel | P | AMBER | Company B | Y
06. [NAME] | P | RED | Company C | N
07. Local | M | GREEN | Company A | Y
08. [NAME] | M | AMBER | Company B | N
09. Restaurant | P | RED | Company C | Y
10. Sports/Social Club | M | GREEN | Company A | N
11. Leisure/Health Club | U | AMBER | Company B | Y
12. Unknown | P | RED | Company C | N
01. Bar | M | GREEN | Company A | Y
02. Bar & Kitchen | P | AMBER | Company B | N
03. Events Venue | M | RED | Company C | Y
04. Holiday Park | P | GREEN | Company A | N
05. Hotel | V | AMBER | Company B | Y
06. [NAME] | M | RED | Company C | N
07. Local | V | GREEN | Company A | Y
08. [NAME] | M | AMBER | Company B | N
09. Restaurant | P | RED | Company C | Y
10. Sports/Social Club | M | GREEN | Company A | N
11. Leisure/Health Club | V | AMBER | Company B | Y
12. Unknown | P | RED | Company C | N
01. Bar | P | GREEN | Company A | Y
02. Bar & Kitchen | P | AMBER | Company B | N
03. Events Venue | M | RED | Company C | Y
04. Holiday Park | P | GREEN | Company A | N
05. Hotel | M | AMBER | Company B | Y
06. [NAME] | P | RED | Company C | N
07. Local | P | GREEN | Company A | Y
08. [NAME] | P | AMBER | Company B | N
09. Restaurant | P | RED | Company C | Y
10. Sports/Social Club | P | GREEN | Company A | N
11. Leisure/Health Club | V | AMBER | Company B | Y
12. Unknown | U | RED | Company C | N
01. Bar | P | GREEN | Company A | Y
02. Bar & Kitchen | P | AMBER | Company B | N
03. Events Venue | V | RED | Company C | Y
04. Holiday Park | P | GREEN | Company A | N
05. Hotel | M | AMBER | Company B | Y
Spreadsheet: 886974d1737051658-nesting-2-if-statements-with-drop-down-boxes-sample-nesting-if
Sheet: Sheet1

Direct Delivery Pricing
Date
 | Diesel | Gasoline
Starwest (Shell) Rack Price | 129.1 | 1.108
Parkland (PG IOL) Rack Price | 1.263 | 1.077
Kamloops IOL Rack Price | 1.286 | 1.109
 | Frind
Total Litres Lifted | 43000
Which Rack? | Starwest (Shell) Rack Price |  | I want C11 to bring up the price according to the answer of B10 & B11 together
Gas or Diesel | Diesel
Clear or Marked | Marked
Discount off Rack Price |  | -0.045
Split Fees |  | 100
Spreadsheet: 160449d1339087113-not-able-to-fix-row-a-a-in-formula-formula-error-in-row-aa-
Sheet: OUTSTANDING

M/S AB | M/S AB | Z
M/S AB | B1 | 2012-04-01 00:00:00 | 100
M/S AB | B2 | 2012-04-02 00:00:00 | 101
M/S AB | B3 | 2012-04-03 00:00:00 | 102
M/S AB | B4 | 2012-04-04 00:00:00 | 103
M/S AB | B5 | 2012-04-05 00:00:00 | 104
M/S AB | B6 | 2012-04-06 00:00:00 | 105
M/S AB | B7 | 2012-04-07 00:00:00 | 106
M/S AB | B8 | 2012-04-08 00:00:00 | 107
M/S AB | B9 | 2012-04-09 00:00:00 | 108
M/S BC | M/S BC | Y
M/S BC | B10 | 2012-04-10 00:00:00 | 110
M/S BC | B11 | 2012-04-11 00:00:00 | 111
M/S BC | B12 | 2012-04-12 00:00:00 | 112
M/S BC | B13 | 2012-04-13 00:00:00 | 113
M/S BC | B14 | 2012-04-14 00:00:00 | 114
M/S BC | B15 | 2012-04-15 00:00:00 | 115
M/S BC | B16 | 2012-04-16 00:00:00 | 116
M/S BC | B17 | 2012-04-17 00:00:00 | 117
M/S BC | B18 | 2012-04-18 00:00:00 | 118
M/S CD | M/S CD | X
M/S CD | B19 | 2012-04-19 00:00:00 | 120
M/S CD | [NAME] | 2012-04-20 00:00:00 | 121
M/S CD | B21 | 2012-04-21 00:00:00 | 122
M/S CD | B22 | 2012-04-22 00:00:00 | 123
M/S CD | B23 | 2012-04-23 00:00:00 | 124
M/S CD | B24 | 2012-04-24 00:00:00 | 125
M/S CD | B25 | 2012-04-25 00:00:00 | 126
M/S CD | B26 | 2012-04-26 00:00:00 | 127
M/S CD | B27 | 2012-04-27 00:00:00 | 128
M/S DE | M/S DE | W | 129
M/S DE | B28 | 2012-04-28 00:00:00 | 130
M/S DE | B29 | 2012-04-29 00:00:00 | 131
M/S DE | B30 | 2012-04-30 00:00:00 | 132
M/S DE | B31 | 2012-05-01 00:00:00 | 133
M/S DE | B32 | 2012-05-02 00:00:00 | 134
M/S DE | B33 | 2012-05-03 00:00:00 | 135
M/S DE | B34 | 2012-05-04 00:00:00 | 136
M/S DE | B35 | 2012-05-05 00:00:00 | 137
M/S DE | B36 | 2012-05-06 00:00:00 | 138
M/S DE | B37 | 2012-05-07 00:00:00 | 139
M/S DE | B38 | 2012-05-08 00:00:00 | 140
Spreadsheet: 682552d1592203664-vlookup-value-book1
Sheet: Sheet1

 |  |  |  | Date
[NAME] | Delivery No |  |  | Sales Document | Reference Document
2099477078 |  |  |  | 2099477078 | 8337725702
2099477078 |  |  |  | 2099477078 | 8337725701
 |  |  |  | 2098166929 | 8337725705
 |  |  |  | 2098166929 | 8337725706
 |  |  |  | 2098166929 | 8337725707
 |  |  |  | 2098166929 | 8337725708
Spreadsheet: 552342d1513503651-how-to-sort-by-shift-and-only-count-unique-names-users-shift-and-uniquename
Sheet: Sheet1

Shift | Name
Shift 1 | Mario
Shift 2 | [NAME]
Shift 3 | [NAME]
Shift 4 | [NAME]
Shift 1 | Mario
Shift 1 | Duie
Shift 2 | [NAME]
Shift 3 | [NAME]
Shift 4 | Jessica
Shift 1 | [NAME]
Shift 2 | Mario
Shift 3 | [NAME]
Shift 4 | [NAME]
Spreadsheet: 102346d1300294799-vlookup-data-owner-test
Sheet: Measures

Measures for Data Owner
FY11 |  |  |  |  |  |  |  |  |  |  |  |  |  | 1 |  | 1st Quarter
 | Measure | 1st Quarter | 2nd Quarter | 3rd Quarter | 4th Quarter | Target | % Var From Target for 1st Quarter | Traffic light for 1st Quarter | Mitigation for 1st Quarter |  |  |  |  | 2 |  | 1st Quarter
 |  | Oct,Nov,Dec | Jan,Feb,Mar | Apr,May,[NAME] | Jul,Aug,Sep |  |  |  |  |  |  |  |  | 3 |  | 1st Quarter
 | Percent savings |  |  |  |  |  |  |  |  |  |  |  |  | 4 |  | 2nd Quarter
 | All |  |  |  |  | 0.15 |  |  |  |  |  |  |  | 5 |  | 2nd Quarter
 | Major |  |  |  |  | 0.2 |  |  |  |  |  |  |  | 6 |  | 2nd Quarter
 |  |  |  |  |  |  |  |  |  |  |  |  |  | 7 |  | 3rd Quarter
 | Percent spent |  |  |  |  |  |  |  |  |  |  |  |  | 8 |  | 3rd Quarter
 | All |  |  |  |  | 0.85 |  |  |  |  |  |  |  | 9 |  | 3rd Quarter
 |  |  |  |  |  |  |  |  |  |  |  |  |  | 10 |  | 4th Quarter
 |  |  |  |  |  |  |  |  |  |  |  |  |  | 11 |  | 4th Quarter
 |  |  |  |  |  |  |  |  |  |  |  |  |  | 12 |  | 4th Quarter
Spreadsheet: 789914d1659440818-error-in-formula-for-fixing-4-characters-in-a-number-from-text-extract-formula_text
Sheet: Sheet1

BB-1425/ DD569/FR 52
BB-1425/ DD569/FR 53
BB-1425/ D1569/FR 54
BB-1425/ D1569/F155
Spreadsheet: 875323d1721912532-frequency-issue-frequency
Sheet: Sheet1

 | Frequency  Values | 0 | 1
ItemNo | Frequency Formula 12 months | Frequency Count 0 | Frequency Count 1 | M12 | M11 | M10 | M09 | M08 | M07 | M06 | M05 | M04 | M03 | M02 | M01
A |  | 1 | 11 | 2 | 3 | 1 | 4 | 11 | 2 | 3 | 11 | 18 | 42 | 6 | 11
B |  | 0 | 11 | 6 | 2 | 3 | 0 | 4 | 11 | 2 | 3 | 11 | 18 | 11 | 42
C |  | 0 | 10 | 0 | 27 | 12 | 4 | 6 | -4 | 9 | 2 | 16 | 4 | 4 | 38
Spreadsheet: 14a6a830-835b-4a81-9440-3389ef828f66
Sheet: 9b

Product | EUR** | GBP | [NAME] | USD | TOTAL
Basis* | 159425 | 995019 | 632471 | 5514781 | 7301696
FRA | 15274292 | 2911672 | 20261 | 14141496 | 32347721
IRS- [NAME] | 47617576 | 8155442 | 15917858 | 33102829 | 104793705
OIS | 11772069 | 4216830 |  | 4236137 | 20225036
VNS | 1421 | <1,000 |  | 1414 | 2835
Zero Coupon | 91871 | 33379 | 36397 | 58290 | 219937
TOTAL | 74916654 | 16312342 | 16606987 | 57054947 | 164890930
Estimated gross notional amount outstanding, November 23 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: lisa_gang__22276__EPE_APRIL_2002
Sheet: APRIL (21)

To: El Paso Marketing   -  fax # [PHONE]
El Paso Generation   -  fax # [PHONE]
 | 2002-04-21 00:00:00
HR ENDING | . | PALO VERDE | PALO VERDE | PALO VERDE | FOUR CORNERS | FOUR CORNERS |  | EDDY | EDDY | EDDY
Pacific | Mountain | SALE | SALE | SALE | SALE | SALE |  | SALE | SALE | SALE OPTION
Daylight | Standard | SPS | AEP | AEP | SPS | EPMI |  | SPS | SPS | SPS
Time | Time |  |  |  |  | 22.25
 |  | FOR THE DAY | FOR THE DAY | FOR THE DAY | ON GOING DAILY | ON GOING DAILY |  | FOR THE DAY | FOR THE DAY | FOR THE DAY
 |  | 4/1/02-4/30/02 | 4/20/02-4/21/02 | 4/20/02-4/21/02 | 4/1/02-4/30/02 | 4/1/02-4/30/02 |  | 4/1/02-4/30/02 | 4/1/02-4/30/02 | 4/1/02-4/30/02
 |  | CALPINE TAG#CPN0421 | WESCO TAG#3754 | WESCO TAG#3756 | PSCO TAG#57060 | EPMI TAG#203 |  | SPS TAG#57044;57078 | SPS TAG#57047;57081 | SPS TAG#57045;57104 |  | TOTAL NET | NET PALO VERDE | NET FOUR CORNERS | NET EDDY
PDT | MST | DIRECT BILL | DIRECT BILL | DIRECT BILL | DIRECT BILL | DIRECT BILL |  | DIRECT BILL | DIRECT BILL | DIRECT BILL
0100 | 0100 | 0 | 25 | 25 | 0 | 25 |  | 0 | 0 | 0
0200 | 0200 | 0 | 25 | 25 | 0 | 25 |  | 0 | 0 | 0
0300 | 0300 | 0 | 25 | 25 | 0 | 25 |  | 0 | 0 | 0
0400 | 0400 | 0 | 25 | 25 | 0 | 25 |  | 0 | 0 | 0
0500 | 0500 | 0 | 25 | 25 | 0 | 25 |  | 0 | 0 | 0
0600 | 0600 | 0 | 25 | 25 | 0 | 25 |  | 0 | 0 | 0
0700 | 0700 | 50 | 25 | 25 | 30 | 25 |  | -50 | -30 | -53
0800 | 0800 | 50 | 25 | 25 | 30 | 25 |  | -50 | -30 | -53
0900 | 0900 | 50 | 25 | 25 | 30 | 25 |  | -50 | -30 | -53
1000 | 1000 | 50 | 25 | 25 | 30 | 25 |  | -50 | -30 | -53
1100 | 1100 | 50 | 25 | 25 | 30 | 25 |  | -50 | -30 | -53
1200 | 1200 | 50 | 25 | 25 | 30 | 25 |  | -50 | -30 | -53
1300 | 1300 | 50 | 25 | 25 | 30 | 25 |  | -50 | -30 | -53
1400 | 1400 | 50 | 25 | 25 | 30 | 25 |  | -50 | -30 | -53
1500 | 1500 | 50 | 25 | 25 | 30 | 25 |  | -50 | -30 | -53
1600 | 1600 | 50 | 25 | 25 | 30 | 25 |  | -50 | -30 | -53
1700 | 1700 | 50 | 25 | 25 | 30 | 25 |  | -50 | -30 | -53
1800 | 1800 | 50 | 25 | 25 | 30 | 25 |  | -50 | -30 | -53
1900 | 1900 | 50 | 25 | 25 | 30 | 25 |  | -50 | -30 | -53
2000 | 2000 | 50 | 25 | 25 | 30 | 25 |  | -50 | -30 | -53
2100 | 2100 | 50 | 25 | 25 | 30 | 25 |  | -50 | -30 | -53
2200 | 2200 | 50 | 25 | 25 | 30 | 25 |  | -50 | -30 | -53
2300 | 2300 | 0 | 25 | 25 | 0 | 25 |  | 0 | 0 | 0
2400 | 2400 | 0 | 25 | 25 | 0 | 25 |  | 0 | 0 | 0
 | MST Total |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Today's Scheduled MWh
 |  |  |  |  |  |  | TOTAL SALES |  |  |  | TOTAL PURCHASES
 | PDT TOTAL
 |  | EPE(G)PV | EPE(G)PV | EPE(G)PV | EPE(G)4C | EPE(G)4C
 |  | EPMI | EPMI | EPMI | EPMI | EPMI |  | SPS (G) @ EDDY TIE | SPS (G) @ EDDY TIE | SPS (G) @ EDDY TIE
 |  | SPS | AEP | AEP | SPS | AZPS(T)FC3/PPD2 |  | PSCO | PSCO | PSCO
 |  | CALPINE | ENKO01 | MIRANT | CRSP | PSCO |  | AEP | EPMI | EPMI
 |  | SRP | WESCO | WESCO | PSCO | CRSP(L)COOLIDGE |  | EPE (L) @ EDDY TIE | EPE (L) @ EDDY TIE | EPE (L) @ EDDY TIE
 |  | SRP(T)PV/WW | ISO(T)PVD/SP15 | ISO(T)PVD/SP15 | PAC
 |  | SRP(L)WW | WESCO(L)SP15 | WESCO(L)SP15 | PAC(T)4C345/SYS
 |  |  |  |  | PAC(L)SYS
Spreadsheet: c95665df-e6fb-467e-b566-a288b7462b76
Sheet: Sheet1

Table S3. Clinical details of nephrogenic rests and Wilms’ tumours | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6
Tumour number | Age at diagnosis (m) | Stage | Histology | Outcome | WT1 mutation? | WT1 mutation details
WILMS' TUMOURS
Bristol
T7 | 20 | 1 | FH, TR, S | A | Y | p.G148fs
T10 | 31 | 2 | FH, TR, B | A | N
T24 | 13 | 1 | FH, TR, S | A | Y | p.V311fs
T43 | 24 | 2 | FH, B | R, D
T45 | 85 | 2 | FH, E | R, A
T49 | 47 | 4 | UH, T, A | R, D
T53 | 63 | 4 |  | A
T54 | 19 | 5 | T | A | Y | p.Q33fs: G/L
T57 | 48 | 3 |  | A
T59 | 10 | 2 | B | R, A
[NAME] | 39 | 5 | TR, A | R, D
T65 | 29 | 5 |  | R, A
T69 | 43 | 2 | FH | A
T71 | 47 | 4 |  | A
T72 | 105
Germany
ANS2 |  | 2 | TR |  | Y | 1700kb deletion
WTHD1 | 7 | 5 | S | A | Y | p.S313X: G/L
WTHD2 | 15 | 5 | S | A | Y | p.S122fs: G/L
WTHD9 | 29 | 1 | S | A | Y | p.E272fs
WTHD14 | 12 | 2 | S | A | Y | p.S136fs: G/L
WTHD24 |  |  | S |  | N
WTHD28 |  |  | S |  | N
WTHD52 |  |  | S |  | N
WTHD22 |  |  | S |  | N
WTHD23 |  |  | S |  | N
Marsden
T543M | 20 | 3 | FH | A | N
T545M | 60 | 3 | FH | A | N
T562M | 11 | 1 | FH | A
T581M | 36 | 3 | FH | A | N
T771M | 16 | 1 | FH | A | N
T783M | 20 | 3 | FH | A | N
T872M | 30 | 2 | A | R, A
T5M |  |  | R
T6M |  |  | B
[NAME] |  |  | TR
T11M |  |  | R
[NAME] |  |  | TR
Spreadsheet: 200150d1355429751-drop-down-meny-from-different-cells-prices-2bu
Sheet: Gips

Gips | Forhandler 1 | Forhandler 2 | Forhandler 3 | [NAME] 4 | Forhandler 5 | [NAME] 6
Gips type 1 | 1 | 2 | 3 | 4 | 5 | 6
1x1 | 1 | 2 | 3 | 4 | 5 | 6
1x2 | 1 | 2 | 3 | 4 | 5 | 6
1x3 | 1 | 2 | 3 | 4 | 5 | 6
1x4 | 1 | 2 | 3 | 4 | 5 | 6
Gips type 2 | 1 | 2 | 3 | 4 | 5 | 6
1x1 | 1 | 2 | 3 | 4 | 5 | 6
1x2 | 1 | 2 | 3 | 4 | 5 | 6
1x3 | 1 | 2 | 3 | 4 | 5 | 6
1x4 | 1 | 2 | 3 | 4 | 5 | 6
Gips type 4 | 1 | 2 | 3 | 4 | 5 | 6
1x1 | 1 | 2 | 3 | 4 | 5 | 6
1x2 | 1 | 2 | 3 | 4 | 5 | 6
1x3 | 1 | 2 | 3 | 4 | 5 | 6
1x4 | 1 | 2 | 3 | 4 | 5 | 6
Gips type 5 | 1 | 2 | 3 | 4 | 5 | 6
1x1 | 1 | 2 | 3 | 4 | 5 | 6
1x2 | 1 | 2 | 3 | 4 | 5 | 6
1x3 | 1 | 2 | 3 | 4 | 5 | 6
1x4 | 1 | 2 | 3 | 4 | 5 | 6
5 | 1 | 2 | 3 | 4 | 5 | 6
Spreadsheet: barry_tycholiz__827__Retention Payments
Sheet: Retention Payment Scenerio

 |  |  | CONFIDENTIAL - West Gas Trading and Origination - CONFIDENTIAL
 |  |  | Retention Payment Scenerios
 |  | per employee
 | Employee Name | Distribution | 7000000 | 6000000 | 5000000 | 4000000 | 3000000 | 2000000 | 1000000
1 | [NAME] |  | 1750000
2 | [NAME] |  | 1400000
3 | [NAME] |  | 1100000
4 | [NAME] |  | 775000
5 | [NAME] |  | 350000
6 | [NAME] |  | 350000
7 | [NAME] |  | 250000
8 | [NAME] |  | 200000
9 | [NAME] |  | 125000
10 | [NAME] |  | 100000
11 | [NAME] |  | 100000
12 | [NAME] |  | 100000
13 | [NAME] |  | 100000
14 | [NAME] |  | 75000
15 | [NAME] |  | 50000
16 | Theresea Stabb |  | 75000
17 | [NAME] |  | 50000
18 | [NAME] |  | 25000
19 | [NAME] |  | 25000
Spreadsheet: darrell_schoolcraft__7297__imball0112
Sheet: mewborne

 | [NAME]
 | 500174 |  | 53888 |  | 78060 |  | 78062
Day | Measured | Scheduled | Measured | Scheduled | Measured | Scheduled | Measured | Scheduled
1 | 6802 | 5488 |  |  | 1020 | 1011 | 1891 | 1414
2 | 6013 | 5488 |  |  | 1005 | 1011 | 577 | 1414
3 | 5948 | 5488 |  |  | 1055 | 1011 | 1908 | 1414
4 | 6198 | 5488 |  |  | 1045 | 856 | 1668 | 1414
5 | 6168 | 5488 |  |  | 607 | 1011 | 1539 | 1414
6 | 6277 | 5488 | 898 |  | 978 | 1011 | 1481 | 1414
7 | 6183 | 5488 | 2419 |  | 1079 | 506 | 1419 | 1414
8 | 6254 | 5488 | 2312 | 1000 | 1035 | 1007 | 1405 | 1414
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24 |  |  |  |  |  |  |  |  |  |  | 377
25 |  |  |  |  |  |  |  |  |  |  | 725
26
27
28
29
30
31
2001-11-30 00:00:00 |  |  |  |  |  |  |  |  | 423029
2001-12-08 00:00:00
CBS Volume
 |  |  | 174129
Spreadsheet: 196814d1354115840-how-to-return-multiple-values-that-match-a-single-search-criteria-cpt-sample-book
Sheet: Sheet1

Patient Name | Date | CPT
Name 1 | 2012-11-08 00:00:00 | 99284
Name 2 | 2012-11-08 00:00:00 | 99284
Name 3 | 2012-11-08 00:00:00 | 99282
Name 4 | 2012-11-08 00:00:00 | 99283
Name 5 | 2012-11-08 00:00:00 | 99285
Name 5 | 2012-11-08 00:00:00 | 93010
Name 5 | 2012-11-08 00:00:00 | 99053
Name 6 | 2012-11-08 00:00:00 | 99285
Name 7 | 2012-11-08 00:00:00 | 99285
Name 7 | 2012-11-08 00:00:00 | 93010
Spreadsheet: 464242d1464950933-vba-copy-range-to-certain-cell-based-on-string-from-another-tab-example
Sheet: RAW

other | other | other | other | other | [NAME]
x | x | x | x | x | 1
x | x | x | x | x | 2
x | x | x | x | x | 5
x | x | x | x | x | 3
x | x | x | x | x | 4
x | x | x | x | x | asd
x | x | x | x | x | asdf
x | x | x | x | x | asdf
x | x | x | x | x | asdf
x | x | x | x | x | asdf
Spreadsheet: 73825d1274382464-conditional-format-first-value-color_first_max_value
Sheet: Sheet1

400 | 1200 | 500 | 1100 | 1200 | 300 | 1000 | 1200 | 700 | 900 | 300
0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
Spreadsheet: 779752d1652084234-index-match-with-multiple-criteria-blanks-and-drop-down-lists-with-formula-index-match-multiple-criteria-aligw
Sheet: Data Val

People | Time Between
Person A | Column 7 & Column 8
Person B | Column 7 & Column 9
Person C | Column 7 & Column 10
Person D | Column 7 & Column 11
Person E | Column 7 & Column 12
Person F | Column 7 & Column 13
Person G | Column 7 & Column 14
Person H | Column 8 & Column 9
Person I | Column 8 & Column 10
Person J | Column 8 & Column 11
Person K | Column 8 & Column 12
Person L | Column 8 & Column 13
 | Column 8 & Column 14
 | Column 9 & Column 10
 | Column 9 & Column 11
 | Column 9 & Column 12
 | Column 9 & Column 13
 | Column 9 & Column 14
 | Column 10 & Column 11
 | Column 10 & Column 12
 | Column 10 & Column 13
 | Column 10 & Column 14
 | Column 11 & Column 12
 | Column 11 & Column 13
 | Column 11 & Column 14
 | Column 12 & Column 13
 | Column 12 & Column 14
 | Column 13 & Column 14
Spreadsheet: 195254d1353458188-dependent-dropboxes-which-can-select-multiple-entries-dependentlistscloser
Sheet: Lists

Vender | Carrier AC | Carrier Furnaces | Carrier Coils | BuiltRite AC | BuiltRite Furnaces | BuiltRite Coils |  |  |  |  | Commodity | Countries | Bovine_semen US | Bovine_semen NZ | Canine_semen US
Carrier | 34833 | 20914 | 533 | 48874 | 37793 | 529 |  |  |  |  | Bovine_semen | US | disease1 | disease3 | disease5
BuiltRite | 29205 | 96252 | 918 | 14420 | 64822 | 532 |  |  |  |  | Canine_semen | NZ | disease2 | disease4 | disease6
 | 33372 | 69260 | 881 | 63063 | 69973 | 507
 | 83084 | 37370 | 936 | 64005 | 51004 | 769
 | 95127 | 56942 | 832 | 76112 | 64447 | 673
 | 71305 | 13022 | 693 | 72298 | 43185 | 616
 | 12700 | 91370 | 878 | 56543 | 20403 | 677
 | 56272 | 60912 | 592 | 54147 | 76232 | 829
 | 93050 | 90366 | 776 | 64488 | 22254 | 713
 | 12611 | 22329 | 855 | 47249 | 94373 | 528
 | 71634 | 90367 | 734 | 28987 | 25649 | 873
 | 19392 | 22902 | 967 | 93255 | 35849 | 974
 | 20589 | 74263 | 676 | 98240 | 29449 | 611
 | 84843 | 36345 | 743 | 64980 | 83274 | 631