tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 134528d1325407742-lookup-question-nba_excel_forum_sample
Sheet: Sheet1

Starter #1 | Bdate | [NAME] | Days Old | Age | MP | FG | FGA | FG% | 3P | 3PA | 3P% | FT | FTA | FT% | ORB | DRB | TRB | AST | STL | BLK | TOV | PF | PTS | Starter #2 | Bdate | [NAME] | Days Old | Age | MP | FG | FGA | FG% | 3P | 3PA | 3P% | FT | FTA | FT% | ORB | DRB | TRB | AST | STL | BLK | TOV | PF | PTS | Starter #3 | Bdate | [NAME] | Days Old | Age | MP | FG | FGA | FG% | 3P | 3PA | 3P% | FT | FTA | FT% | ORB | DRB | TRB | AST | STL | BLK | TOV | PF | PTS | Starter #4 | Bdate | [NAME] | Days Old | Age | MP | FG | FGA | FG% | 3P | 3PA | 3P% | FT | FTA | FT% | ORB | DRB | TRB | AST | STL | BLK | TOV | PF | PTS | Starter #5 | Bdate | [NAME] | Days Old | Age | MP | FG | FGA | FG% | 3P | 3PA | 3P% | FT | FTA | FT% | ORB | DRB | TRB | AST | STL | BLK | TOV | PF | PTS | Reserve #1 | Bdate | [NAME] | Days Old | Age | MP | FG | FGA | FG% | 3P | 3PA | 3P% | FT | FTA | FT% | ORB | DRB | TRB | AST | STL | BLK | TOV | PF | PTS | Reserve #2 | Bdate | [NAME] | Days Old | Age | MP | FG | FGA | FG% | 3P | 3PA | 3P% | FT | FTA | FT% | ORB | DRB | TRB | AST | STL | BLK | TOV | PF | PTS | Reserve #3 | Bdate | [NAME] | Days Old | Age | MP | FG | FGA | FG% | 3P | 3PA | 3P% | FT | FTA | FT% | ORB | DRB | TRB | AST | STL | BLK | TOV | PF | PTS | Reserve #4 | Bdate | [NAME] | Days Old | Age | MP | FG | FGA | FG% | 3P | 3PA | 3P% | FT | FTA | FT% | ORB | DRB | TRB | AST | STL | BLK | TOV | PF | PTS | Reserve #5 | Bdate | [NAME] | Days Old | Age | MP | FG | FGA | FG% | 3P | 3PA | 3P% | FT | FTA | FT% | ORB | DRB | TRB | AST | STL | BLK | TOV | PF | PTS | Reserve #6 | Bdate | [NAME] | Days Old | Age | MP | FG | FGA | FG% | 3P | 3PA | 3P% | FT | FTA | FT% | ORB | DRB | TRB | AST | STL | BLK | TOV | PF | PTS | Reserve #7 | Bdate | [NAME] | Days Old | Age | MP | FG | FGA | FG% | 3P | 3PA | 3P% | FT | FTA | FT% | ORB | DRB | TRB | AST | STL | BLK | TOV | PF | PTS | Reserve #8 | Bdate | [NAME] | Days Old | Age | MP | FG | FGA | FG% | 3P | 3PA | 3P% | FT | FTA | FT% | ORB | DRB | TRB | AST | STL | BLK | TOV | PF | PTS |  |  |  | Lookup column
[NAME] |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | [NAME] |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Dikembe Mutombo |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | [NAME] |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | LaPhonso Ellis |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | [NAME] |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Tyrone Corbin |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | [NAME] |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | [NAME]
[NAME]
[NAME]
[NAME]
[NAME]
[NAME]
[NAME]
Tyrone Corbin
[NAME]
Tyrone Corbin
Spreadsheet: 5a9ffc6c-3668-465e-9cc0-9a40ec7c639e
Sheet: Proj FS

U.S. Industry Auto
Exhibit I (Sheet 7-8) p.221-222
Projection of Ultimate Claims Using Reported and Paid Claims ($000)
 | Age of | Reported | Paid | Reported |  | Ultimate | Ultimate | Ultimate
AY | AY @ 12/31/07 | Claims | Claims | Severity | CDF | Severity | Counts | Claims | IBNR | Unpaid
2003-2 |  |  | 14846000
2004-1 |  |  | 14614000
2004-2 |  |  | 12502000
2005-1 |  |  | 11840000
2005-2 |  |  | 11765000
2006-1 |  |  | 11755000
2006-2 |  |  | 12679000
2007-1 |  |  | 11406000
2007-2 |  |  | 12648000
2008-1 | 6 |  | 11833000
Total
Spreadsheet: 720221d1614079563-vlookup-copying-row-formula-not-values-excel_forum-ans
Sheet: Sheet3

Item Code | Description | Height | Hinges |  | Runners |  | Screws |  | Total
 |  |  | Quantity | Price | Quantity | Price | Quantity | Price
F7/3/25
F7/3/45
F8/3/90 |  |  |  |  | 6
Spreadsheet: d9ed0913-34b3-41c4-be16-f857b87d2989
Sheet: Sheet1

PROG ID | ATHLETE ID | ATHLETE FIRST | ATHLETE LAST | NATIONALITY | START NUMBER | RUN | T1 | BIKE | T2 | RUN.1 | POSITION | TOTAL TIME
5588 | 23650 | [NAME] | Dasse | FRA | 476 | 00:47:39 | 00:00:27 | 01:23:09 | 00:00:30 | 00:25:06 | 1 | [NAME]
Spreadsheet: 214873d1361170674-using-vlookup-determine-the-round-of-the-competition-based-on-the-registration-reg
Sheet: GAME A

PSGN | NOMBOR |  | NAMA PESERTA | NEGERI
 | PCG | WAU
 |  | WP1- 1 | NP1- 1 | Per 1
 |  | WP2- 1 | NP2- 1 | Per 2
 |  | WP3- 1 | NP3- 1 | Per 3
1 |  | WP18 1 | NP18 1 | Per18
 |  | WP5- 1 | NP5- 1 | Per 5
 |  | WP6- 1 | NP6- 1 | Per 6
 |  | WP9- 1 | NP9- 1 | Per 9
 |  | WP13 1 | NP13- 1 | Per13
PSGN | NOMBOR |  | NAMA PESERTA | NEGERI
 | PCG | WAU
 |  | WP7- 1 | NP7- 1 | Per 7
 |  | WP17 1 | NP17- 1 | Per17
 |  | WP15 1 | NP15- 1 | Per15
2 |  | WP12 1 | NP12- 1 | Per12
 |  | WP14 1 | NP14- 1 | Per14
 |  | WP10- 1 | NP10- 1 | Per 10
 |  | WP16 1 | NP16- 1 | Per16
 |  | WP8- 1 | NP8- 1 | Per 8
PSGN | NOMBOR |  | NAMA PESERTA | NEGERI
 | PCG | WAU
 |  | WP5- 2 | NP5- 2 | Per 5
 |  | WP18 2 | NP18 2 | Per18
 |  | WP3- 2 | NP3- 2 | Per 3
3 |  | WP13 2 | NP13- 2 | Per13
 |  | WP9- 2 | NP9- 2 | Per 9
 |  | WP2- 2 | NP2- 2 | Per 2
 |  | WP1- 2 | NP1- 2 | Per 1
 |  | WP4- 2 | NP4- 2 | Per 4
PSGN | NOMBOR |  | NAMA PESERTA | NEGERI
 | PCG | WAU
 |  | WP8- 2 | NP8- 2 | Per 8
 |  | WP15 2 | NP15- 2 | Per15
 |  | WP17 2 | NP17- 2 | Per17
4 |  | WP7- 2 | NP7- 2 | Per 7
 |  | WP16 2 | NP16- 2 | Per16
 |  | WP12 2 | NP12- 2 | Per12
 |  | WP10- 2 | NP10- 2 | Per 10
 |  | WP14 2 | NP14- 2 | Per14
PSGN | NOMBOR |  | NAMA PESERTA | NEGERI
 | PCG | WAU
 |  | WP5- 3 | NP5- 3 | Per 5
 |  | WP18 3 | NP18 3 | Per18
 |  | WP3- 3 | NP3- 3 | Per 3
5 |  | WP13 3 | NP13- 3 | Per13
 |  | WP2- 3 | NP2- 3 | Per 2
 |  | WP1- 3 | NP1- 3 | Per 1
 |  | WP4- 3 | NP4- 3 | Per 4
 |  | WP6- 3 | NP6- 3 | Per 6
PSGN | NOMBOR |  | NAMA PESERTA | NEGERI
 | PCG | WAU
 |  | WP17 3 | NP17- 3 | Per17
 |  | WP16 3 | NP16- 3 | Per16
 |  | WP8- 3 | NP8- 3 | Per 8
6 |  | WP7- 3 | NP7- 3 | Per 7
 |  | WP12 3 | NP12- 3 | Per12
 |  | WP10- 3 | NP10- 3 | Per 10
 |  | WP14 3 | NP14- 3 | Per14
 |  | WP15 3 | NP15- 3 | Per15
PSGN | NOMBOR |  | NAMA PESERTA | NEGERI
 | PCG | WAU
 | 6 | WP11- 1 | NP11- 1 | Per11
 | 1 | WP2- 4 | NP2- 4 | Per 2
 | 4 | WP3- 4 | NP3- 4 | Per 3
7 | 3 | WP6- 4 | NP6- 4 | Per 6
 | 7 | WP9- 4 | NP9- 4 | Per 9
 | 5 | WP5- 4 | NP5- 4 | Per 5
 | 2 | WP18 4 | NP18 4 | Per18
 | 8 | WP4- 4 | NP4- 4 | Per 4
PUSINGAN | NOMBOR |  | NAMA PESERTA | NEGERI
 | PCG | WAU
 | 8 | WP15 4 | NP15- 4 | Per15
 | 6 | WP17 4 | NP17- 4 | Per17
 | 7 | WP7- 4 | NP7- 4 | Per 7
8 | 5 | [NAME] 4 | NP8- 4 | Per 8
 | 1 | WP10- 4 | NP10- 4 | Per 10
 | 3 | WP12 4 | NP12- 4 | Per12
 | 2 | WP16 4 | NP16- 4 | Per16
PUSINGAN | NOMBOR |  | NAMA PESERTA | NEGERI
 | PCG | WAU
 | 6 | WP4- 1 | NP4- 1 | Per 4
 | 3 | WP6- 2 | NP6- 2 | Per 6
 | 1 | WP9- 3 | NP9- 3 | Per 9
9 | 2 | WP13 4 | NP13- 4 | Per13
 | 5 | WP14 4 | NP14- 4 | Per14
 | 4 | WP1- 4 | NP1- 4 | Per 1
Spreadsheet: 703576d1605062029-help-required-for-if-formula-current-points-book3
Sheet: Sheet1

Entry Price | Stop Price | Current Price | Current Points | Current Profit/Loss | Latest Stop | Stop Distance | Value Per Pip/Point | Long/Short | Risk Taken | Status
426.87 | 354.84 | 437.02 |  |  |  | 72.03 | 0.03 | Long | 0.01
1061 | 889 | 1012 |  |  |  | 172 | 1.16 | Long | 0.01
246.2 | 309.76 | 265.39 |  |  |  | 6356 | 0.03 | Short | 0.01
Spreadsheet: 272251d1382305467-splitting-a-number-split3
Sheet: Sheet1

n1 | n2 | n3 | n4 | n5 | n6 |  | n1 | n1 | n2 | n2 | n3 | n3 | n4 | n4 | n5 | n5 | n6 | n6
it working tnx a lot ^_^ |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | how i split column W to other 2 columns(as in the following example)
01 | 11 | 21 | 31 | 41 | 51 |  | 0 | 1 | 1 | 1 | 2 | 1 | 3 | 1 | 4 | 1 | 5 | 1 |  | i whan to split the column in 2 part 1 even(0,2,4,6,8)
02 | 12 | 22 | 32 | 42 | 52 |  | 0 | 2 | 1 | 2 | 2 | 2 | 3 | 2 | 4 | 2 | 5 | 2 |  | end other part that i dont know the name (1,3,5,7,9)  ^_^
03 | 13 | 23 | 33 | 43 | 53 |  | 0 | 3 | 1 | 3 | 2 | 3 | 3 | 3 | 4 | 3 | 5 | 3 |  |  |  | n1 |  | n1 | n2 |  | n1 | n2
04 | 14 | 24 | 34 | 44 | 54 |  | 0 | 4 | 1 | 4 | 2 | 4 | 3 | 4 | 4 | 4 | 5 | 4
05 | 15 | 25 | 35 | 45 | 55 |  | 0 | 5 | 1 | 5 | 2 | 5 | 3 | 5 | 4 | 5 | 5 | 5 |  |  |  | 0 |  | #N/A | #N/A | or | 0 | 1
06 | 16 | 26 | 36 | 46 | 56 |  | 0 | 6 | 1 | 6 | 2 | 6 | 3 | 6 | 4 | 6 | 5 | 6 |  |  |  | 1 |  |  |  |  | 2 | 3
07 | 17 | 27 | 37 | 47 | 57 |  | 0 | 7 | 1 | 7 | 2 | 7 | 3 | 7 | 4 | 7 | 5 | 7 |  |  |  | 2 |  | 2 |  |  | 4 | 5
08 | 18 | 28 | 38 | 48 | 58 |  | 0 | 8 | 1 | 8 | 2 | 8 | 3 | 8 | 4 | 8 | 5 | 8 |  |  |  | 3 |  |  | 3 |  | 6 | 7
09 | 19 | 29 | 39 | 49 | 59 |  | 0 | 9 | 1 | 9 | 2 | 9 | 3 | 9 | 4 | 9 | 5 | 9 |  |  |  | 4 |  | 4 |  |  | 8 | 9
10 | 20 | 30 | 40 | 50 | 60 |  | 1 | 0 | 2 | 0 | 3 | 0 | 4 | 0 | 5 | 0 | 6 | 0 |  |  |  | 5 |  |  | 5
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6 |  | 6
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7 |  |  | 7
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8 |  | 8
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 9 |  |  | 9
 |  | 60
Spreadsheet: 122014d1316551995-indirect-erep_1gb-tigrovi_bkp
Sheet: Nikname

Ambient on/off
eRepublik – Online Strategy Game
Sep20 Day 1,400 of the New World
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[NAME]
[NAME]
27
60
Eat food
Gold2.24 Gold
BAM411 BAM
HRK1625 HRK
Missions
X
You don't have enough Gold to complete the task Get Gold
Completed!
2011-10-03 00:00:00
2011-10-03 00:00:00
2011-10-03 00:00:00
Reward
Ok
Congratulations, your rank is now
Rank Bonus on attack +5%
Energy bar
Ok
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[NAME]
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Experience level: 27
Experience points: 10027
Next level at: 15000
• Working, training and fighting decreases health
[NAME], health boxes, food, hospitals restore health.
This action restores as much health as possible by eating Food from your Storage.
You can recover up to: 450 / 450 Health
100 more recoverable Health in: 00:59:59
Food limit reached
You have reached your food consumption limit.
You can recover 100 health every hour.
100 more recoverable Health in: [NAME]
Buy health kit Close
Nikname
offlineNikname
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Experience level 27
12,288 / 15,000
Location: UkraineUkraine, [NAME] and [NAME]: CroatiaCroatia
eRepublik birthday
Sep 20, 2009
National rank: 1201
No political activity
HV 1.GB Tigrovi HV 1.GB Tigrovi
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Land of Nikname: 14 buildings
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Achievements
hard worker
18
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Worked 30 days in a row
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Win the Congress elections
president
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media mogul
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Reach 1000 subscribers to your newspaper
battle hero
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Battle Hero
Reach the highest war influence in a battle
campaign hero
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Reach the highest war influence in a campaign
resistance hero
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Start a resistance war and liberate that region
super soldier
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Advance 250 strength points
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Invite 10 people to eRepublik and help them reach level 10
mercenary
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Defeat 25 enemies for 50 different countries
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Military Skills
Strength
3,222.38
Super soldier:3,222 / 3,250
Rank
General *General *
Rank points:
859,850 / 950,000
Forum   |   [NAME]   |   Blog   |   Press   |   Contact   |   [NAME]   |   Terms of Service   |   Privacy  |   Affiliates  |   [NAME]
Follow us: FacebookFacebook TwitterTwitter
Copyright © 2007-2011 eRepublik
Spreadsheet: 217172d1361997675-search-numbers-in-a-text-string-find-largest-value-return-a-value-return-text-value
Sheet: X

Lease | Participant | [NAME] | BRUMLEY 08-1H 09N12W (SWEPI/ECA)
Lease1 | [NAME] | x 1/2 x 151.1112/643.9502 x 3/16 | 8
Lease2 | [NAME] | x 1/2 x 1.0124/643.9502 x 3/16 | 16
Lease3 | [NAME] | x 1/2 x 15.0451/643.9502 x 1/5 | 13
Lease4 | [NAME] | x 1/2 x 20.0290/643.9502 x 1/4 | 6
Lease5 | [NAME] blow5 | 1/2 x 1/2 x 3.5434/643.9502 x 1/4 | 19
Lease6 | [NAME] | 1/2 x 1/2 x 3.5434/643.9502 x 1/4 | 19
Lease7 | [NAME] | x 1/2 x 3.0014/643.9502 x 1/4 | 4
Lease8 | [NAME] | 1/2 x 1/2 x 40.1779/643.9502 x 1/4 | 12
Lease9 | [NAME] | 1/2 x 1/2 x 40.1779/643.9502 x 1/4 | 12
Lease10 | [NAME] | x 1/2 x 40.3307/643.9502 x 1/4 | 9
 |  | The text is in column C.  The answer is in column E based on a formula I got from this forum.  It works if I manually tweak.
 |  | By manually tweak, I mean adding additional x's or removing x's to get the formula to get the right answer.
 |  | Which kinda defeats the purpose of automation.
 |  | So I had to manually add an "x" to C2:C5, C8 and C11.  The others worked based on formula.
 |  | You can ignore all the other columns except C and E.
Spreadsheet: 167100d1341901330-filtering-one-specific-name-in-excel-2010-copy-of-morning-attendance-2-
Sheet: 25 March 2012

Daily Morning Staff |  |  |  |  | Sunday
 | 07:30-14:30 |  | 2012-03-25 00:00:00
Name | Staff No. | Title | Time In | Out | Locations | Remarks
Naima Mohamed | 2166 | Client Relation Supervisor | 07:30:00 | 14:30:00 | EFS
Sheikha [NAME] | 2120 | Reservation Officer | 07:30:00 | 14:30:00 | TOPS
Syed Sultan | 2888 | Supervisor | 07:30:00 | 14:30:00 | EFS | Annual leave
[NAME] | 4143 | Aircraft Team Leader | 07:30:00 | 14:30:00 | EFS
Jalil Nushadi | 1889 | Driver | 05:45:00 | 14:30:00 | EFS | Com off Air Show
[NAME] | 624 | Driver | 07:30:00 | 14:30:00 | EFS
Soud Sharar | 2097 | [NAME] Officer | 07:30:00 | 14:30:00 | [NAME] | Annual leave
[NAME] | 1897 | Manager | 07:30:00 | 14:30:00 | EFS | Sick leave
[NAME] | 4440 | Attendant | 07:30:00 | 14:30:00 | EFS | Annual leave
[NAME] | 1861 | Duty Officer | 07:30:00 | 14:30:00 | EFS
[NAME] Leaves
1.     Wednesday 14th March 2012: Comp off
2.     Thursday 15th March 2012: Comp off
3.     Friday 16th March 2012: Comp Off
4.     Saturday 17th March 2012: Comp off
5.     Sunday 18th March 2012 : 2011 annual leave pending
6.     Monday 19th March 2012 : 2011 annual leave pending
7.     Tuesday 20th March 2012 : 2011 annual leave pending
8.     Wednesday 21stMarch 2012 : 2011 annual leave pending
9.     Thursday22ndMarch 2012 : report to duty
10.                        Friday: 23rd March 2012: 2011 annual leave pending
11.                        Sunday 25 March 2012: 2011 annual leave pending
12.                        Monday 26March 2012 : 2011 annual leave pending
13.                        Tuesday 27March 2012 : 2011 annual leave pending
14.                        Wednesday 28March 2012 : 2011 annual leave pending
15.                        Thursday 29 March 2012 : 2011 annual leave pending
16.                        Friday
17.                        Saturday
18.                        Sunday 1st April : reporting back
Spreadsheet: 32058d1228174101-how-to-automatically-reference-cells-in-another-worksheet-roast-compilation-new-2
Sheet: FMA

PCDG SUNDAY ROAST GP TRACKER
PUB NAME | DATE |  | 2008-11-16 00:00:00 | PERIOD | 2 | WEEK | 3
fma
ITEM | INVOICE PURCHASE PRICE |  | NUMBER SOLD | TOTAL COST | SALES PRICE | £ GP | GP % | COST PER PLATE | MEAT COST PER PLATE
PORK | 0 |  | 1 |  | 4
BEEF | 87.44 |  | 43 |  | 12.95
LAMB
TOTAL
Spreadsheet: david_delainey__8075__Master Turbine Listing
Sheet: LM6000 Parts

THIS INFORMATION HAS NOT BEEN UPDATED - DO NOT USE
LM 6000 GTG
 |  | Refrigeration | Inlet Air Heating |  |  | MV | MV | LV | LV |  | BOP | Fuel Oil | Fuel Oil | Fuel Gas | Instrument | S&S
Item # | Location | System | System | SCR | [NAME] | Transformers | Swgr | Transformers | Swgr | CEMS | PLC | Centrifuge | Storage Tanks | Compressors | Air Systems | Pkgs
1 | ESA
2 | ESA
3 | ESA
4 | ESA
5 | ESA
6 | ESA
7 | unallocated
8 | unallocated
9 | [NAME] | Y, Discount Possible | Y, Discount Possible | Y, Discount Possible | NEPCO | NEPCO | NEPCO | NEPCO | NEPCO | NEPCO | NEPCO | N/A | N/A | NEPCO | NEPCO | ?
10 | [NAME] | Y | Y | Y | N | N | N | N | N | N | N | N/A | N/A | N | N | ?
11 | [NAME] | Y | Y | Y | N | N | N | N | N | N | N | N/A | N/A | N | N | ?
12 | [NAME] | Y | Y | Y | N | N | N | N | N | N | N | N/A | N/A | N | N | ?
13 | PSCO
14 | PSCO
15 | PSCO
16 | PSCO
17 | unallocated | N | N
18 | unallocated | N | N
19 | Las Vegas | N | N
20 | Las Vegas | N | N
21 | ESA
22 | ESA
23 | Las Vegas
24 | Las Vegas
Spreadsheet: 56632d1256773822-uneditable-cells-and-dynamic-names-of-columns-fabric-production-quantities-october
Sheet: Garment

Garments |  | FABRICS
NAME | COLOUR | Fabric1 | [NAME] | Fabric2 | [NAME] | Fabric3 | [NAME] | Zip1 | Zip2 |  | Fabric1 Totals |  | Fabric2 Totals |  | Fabric3 Totals |  | [NAME] | Zip2 Total
HYSTERIA GOWN | BLACK(SEQUIN) | Black Bengaline | 2 | Black Linen | 2 |  |  | blue denim 40cm/16" Invisible
HYSTERIA GOWN | BLACK(JERSEY) |  |  |  |  |  |  |  |  |  |  |  | 0
HYSTERIA GOWN | LIME(JERSEY)
JAWS 2 | BLACK
JAWS 2 | IVORY
GOBLET DRESS | IVORY+BLACK
CHERUBIM DRESS | BLACK
CHERUBIM DRESS | IVORY
AMERICAN FOOTBALLER | BLACK
CAPE DRESS | BLACK
CAPE DRESS | CERISE
CAPE DRESS | TEAL
CAGE MAXI | LIME
CAGE MAXI | BLACK
PRINT MAXI | BLACK+WHITE
ROBO-DAHL DRESS | BLACK
DIANA DRESS | LIME
DIANA DRESS | BLACK
HULA DRESS | CREAM
HULA DRESS | CORAL
CAGED CHERUB | BLACK+PINK
CAGED CHERUB | BLACK+IVORY
MAGNA | PINK
CAGED CUCKOO | BLACK+CORAL
CAGED CUCKOO | BLACK+IVORY
CUCKOO | CREAM
CUCKOO | CORAL
CAMPINO | CORAL+CREAM
CAGE MINI | CREAM+BLACK
BRA TOP | BLACK+CORAL
BRA TOP | BLACK
BOLERO JACKET | BLACK
Spreadsheet: 730068d1619532804-vlookup-from-a-range-that-have-the-same-name-vlookup-ans
Sheet: Sheet1

 | Old List |  |  | New list
 | Customer | Comments |  | Customer | Comments
 | [NAME] |  |  | [NAME]
 | [NAME] |  |  | [NAME]
 | [NAME] |  |  | [NAME]
 | [NAME] |  |  | [NAME]
 | [NAME] | Shapen up |  | [NAME]
 | [NAME] |  |  | [NAME]
 | [NAME] |  |  | [NAME]
Spreadsheet: 730908d1620037695-highest-to-6-scores-from-8-weeks-don-kitchen-new
Sheet: Data

 | Names | Week One | Week Two | Week Three | Week Four | Week Five | Week Six | Week Seven | Week Eight |  | Total Scores for 8 weeks |  | Best 6 Scores from 8 weeks |  | Top 15 0verall Players Score |  |  |  | Players Score                  Highest top six scores |  |  |  |  |  | Rank Helper
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Top 8 Players
 | D Frith | 15 | 14 | 13 | 7 | 15 | 12 | 14
 | P Carter | 15 | 12 | 15 | 17 | 0 | 9 | 8
 | T Seymore | 15 | 15 | 14 | 17 | 0 | 9 | 14
 | A Terry | 14 | 15 | 9 | 17 | 9 | 9 | 16
 | J Vince | 14 | 10 | 9 | 13 | 13 | 12 | 6
 | M Frith | 14 | 8 | 7 | 10 | 0 | 10 | 11
 | [NAME] | 12 | 8 | 0 | 0 | 13 | 0 | 0
 | M Micklefield | 12 | 10 | 7 | 15 | 7 | 0 | 16
 | K Ellis | 12 | 15 | 7 | 0 | 0 | 0 | 0
 | K Lester | 12 | 11 | 15 | 15 | 17 | 13 | 16
 | C Medlin | 12 | 0 | 0 | 0 | 0 | 0 | 0
 | K De Veen | 12 | 12 | 15 | 7 | 3 | 13 | 6
 | J Thompson | 12 | 12 | 7 | 13 | 15 | 10 | 8
 | K  Thompson | 12 | 14 | 9 | 7 | 5 | 12 | 0
 | G Godhard | 12 | 7 | 14 | 12 | 0 | 0 | 0
 | L Lester | 12 | 11 | 8 | 10 | 19 | 13 | 14
 | L Harvey | 10 | 0 | 7 | 0 | 5 | 0 | 0
 | S Kinson | 10 | 15 | 15 | 5 | 0 | 13 | 14
 | C Micklefield | 10 | 15 | 15 | 15 | 9 | 13 | 6
 | D Bridges | 10 | 0 | 0 | 0 | 0 | 0 | 0
 | H De Veen | 10 | 15 | 13 | 5 | 19 | 12 | 8
 | L Bray | 10 | 7 | 8 | 7 | 7 | 9 | 0
 | W Seymore | 10 | 11 | 15 | 12 | 0 | 9 | 6
 | M Bray | 10 | 7 | 14 | 7 | 9 | 9 | 8
 | G Atkinson | 10 | 11 | 7 | 15 | 13 | 12 | 11
 | [NAME] | 10 | 8 | 8 | 11 | 17 | 0 | 11
 | D Ebdon | 8 | 15 | 15 | 15 | 3 | 10 | 11
 | J Sunderland | 8 | 11 | 15 | 0 | 3 | 10 | 6
 | A Levelle | 8 | 7 | 7 | 15 | 0 | 13 | 16
 | B Green | 7 | 11 | 13 | 11 | 0 | 12 | 11
 | C Laverty | 7 | 0 | 7 | 7 | 0 | 10 | 11
 | D Colquhoun | 7 | 8 | 7 | 0 | 19 | 0 | 0
 | M Holmes |  | 15 | 0 | 0 | 0 | 0 | 0
 | K Burnam | 0 | 7 | 0 | 0 | 0 | 0 | 0
 | [NAME] | 0 | 8 | 15 | 5 | 0 | 0 | 0
 | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
 | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
 | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
 | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
 | ? | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
Spreadsheet: 1fdba4f7-0885-421f-9f0d-3da854a936b6
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11 | Unnamed: 12
 |  | U.S. Census Bureau
 |  | Source: New Residential Construction
 |  | Housing Units Started: United States
 |  | Seasonally Adjusted Single-family Units [Thousands of Units]
 |  | Period: 2008 to 2012
 |  | Data Extracted on: December 18, 2014 (1:36 pm)
Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec
2008
2009
2010
2011
2012
Spreadsheet: 707828d1607490761-array-index-problems-need-assistance-or-any-advice-to-help-to-create-formula-to-enable-to-book1
Sheet: AFTER Sheet

Family ID | No of Children | Student ID
2022 | 2 | 1000
2022 | 2 | 1001
2023 | 2 | 1002
2023 | 2 | 1003
2841 | 2 | 1004
2841 | 2 | 1005
2405 | 3 | 1006
2026 | 2 | 1007
2378 | 3 | 1008
2377 | 1 | 1009
2378 | 3 | 1010
2028 | 3 | 1011
2691 | 2 | 1012
Spreadsheet: 02e4b555-05a6-40f8-a00e-8401a50136eb
Sheet: 16b

 |  | TOTAL
Product |  | HY** | IG | Other
Index Tranche* | Asia
 | Europe
 | North America
Index | Asia
 | Europe
 | North America
TOTAL |  | N/A*** | N/A | N/A
Estimated swap dollar volumes, week ending February 8, by product type (total value of trades in millions of USD), all participant types, tenors and currencies. Data are adjusted for double-counting of cleared trades to show a single exposure for each trade. This table will be expanded to reflect participant type and cleared status as more complete data becomes available.
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 Data Dictionary for product descriptions.
**See Data Dictionary for product grade 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: 864800d1711949502-from-static-to-dynamic-cell-reference-via-indirect-function-raw-materials-record-aligw
Sheet: Stearic Acid

Raw Material |  | [NAME]
Date | Description | Batch Processed Quantity |  | Quantity Stored ([NAME]'s) | Quantity Issued ([NAME]'s) | Total Quantity Remaining ([NAME]'s) | Bilty or Batch (Description)
 |  | Qty | [NAME]'s
Column1 | Column2 | Column3 | Column4 | Column5 | Column6 | Column7 | Column8
2023-09-30 00:00:00 |  |  |  |  |  | 1365
Total
Spreadsheet: 791672d1660547051-special-selection-and-listing-of-data-template_petty-cash
Sheet: VAT_Payments

 | [NAME]
 | Date | Details | Account | Reference | Amount | VAT
Spreadsheet: a5ab2684-5484-400a-a3e9-0d7e0c592a68
Sheet: Table 5.2

Monthly Statistical Bulletin
5.2 Housing and cash interest rates
Month
Banks' housing interest rate – per cent
July
August
September
October
November
December
January
February
March
April
May
June
Cash market interest rate – per cent
July
August
September
October
November
December
January
February
March
April
May
June
Source: RBA website, statistical tables F1 and F5
 |  |  |  |  |  |  |  | Update
Spreadsheet: 218107d1362350312-assistance-with-array-or-advanced-filter-please-lmgtfy-4
Sheet: Groups

 | Birthday Range |  | Group Name | Group Counts
 | 1900-09-01 00:00:00 | 2002-08-31 00:00:00 | a
 | 2002-09-01 00:00:00 | 2007-08-31 00:00:00 | b |  |  | Added the count groups formula
 | 2007-09-01 00:00:00 | 2008-08-31 00:00:00 | c
 | 2008-09-01 00:00:00 | 2009-08-31 00:00:00 | d
 | 2009-09-01 00:00:00 | 2010-08-31 00:00:00 | e
 | 2010-09-01 00:00:00 | 2011-08-31 00:00:00 | f
 | 2011-09-01 00:00:00 | 2012-08-31 00:00:00 | g
 | 2012-09-01 00:00:00 | 2013-08-31 00:00:00 | h
Spreadsheet: 386409d1427783497-concatenate-string-based-on-different-levels-example
Sheet: help

Level 1 | Level 2 | Level 3 | Level 4 | Level 5 | Level 6 |  | AM
 | AM
 |  | AM10
 |  | AM20
 |  | [NAME]
 |  | AM40
 |  | AM50
 |  | AM60
 |  | AM70
 |  | AM00
 | DC
 |  | DC_VD
 |  |  | DC001
 |  |  | DC002_TOT
 |  |  |  | DC002
 |  |  |  | DC002_VOD
 |  |  | DC003
 |  |  | DC052