tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 8153d795-7def-4e2f-b90f-e42009d743b2
Sheet: THC

 | The University of Texas Health Center at Tyler |  |  |  |  |  |  |  |  |  | Return to Index |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 12 | 13
 |  |  |  |  |  |  |  |  |  |  |  |  | Zoom % should be at 75%.
 | Summary of R & D Expenditures |  |  |  |  |  |  |  |  | Overall Total | Defined For Survey
 | R & D Expenses as defined for the Research Expenditure Survey
 | R & D Expenses not meeting the narrow definition of R & D used in the Research Expenditures Survey
 | Total Expenses for R & D as reported on the Statement of Revenues, Expenses and Changes in Net Assets
 | Other Research-related Equipment Expenditures (noncurrent fund expenditures, etc. - do not include R & D plant expenses or construction)
 | Indirect Costs associated with Expenses for R & D as defined for this survey
 | Capital Outlay for research equipment (do not include R & D plant expenses or construction)
 | Expenditures for conduct of R & D made by institution's research foundation or 501© corporation on behalf of the institution and not report in institution AFR, including indirect costs not reported above
 | Pass-throughs from Texas Engineering Experiment Station not reported in R & D Expenditures as defined for the Research Expenditure Survey
 | Total R & D Expenditures |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 0
 | R & D Expenditures By Funding Source |  |  |  | Federal | State Appropriations | State Contracts/Grants | Institution Resources | Private                  For-Profit | Private                     Non-Profit | Total
 | Agricultural Sciences
 | Biological and Other Life Sciences
 | Computer Science
 | Engineering
 | Environmental Sciences
 | Mathematical Sciences |  |  |  |  |  |  |  |  |  |  |  |  | Difference
 | Medical Sciences
 | Physical Sciences
 | Psychology
 | Social Sciences
 | Other Sciences not classified above
 | Arts and Humanities
 | Business Administration
 | Education
 | Law
 | Field of Study - Future Use 1
 | Field of Study - Future Use 2
 | Field of Study - Future Use 3
 | Field of Study - Future Use 4
 | Field of Study - Future Use 5
 | Other Non-Science Activities |  |  |  |  |  |  |  |  |  |  |  |  | To Accountability | Sources & Uses
 | Total R & D Expenditures By Funding Source |  |  |  |  |  |  |  |  |  |  |  |  | ResPercGenRev | State Appropriations
 |  |  |  |  |  | State Total |  |  | Pvt. Total |  | Federal & Private
 | R & D Expenditures - Select Areas of Special Interest |  |  |  |  |  |  |  |  |  |  |  |  | ExpendPerFTE
 | Aging |  |  |  |  |  |  |  |  |  |  |  |  | N/A
 | Cancer Research |  |  |  |  |  |  |  |  |  |  |  |  | T/TT Fall Fac FTE
 | Cardiovascular Research
 | Child Health and Human Development |  |  |  |  |  |  |  |  |  |  |  |  | As of Fall xxxxx
 | Mental Health
 | HRI Special Interest - Future Use 1
 | HRI Special Interest - Future Use 2
 | HRI Special Interest - Future Use 3
 | HRI Special Interest - Future Use 4
 | HRI Special Interest - Future Use 5
 | Total R & D Expenditures - Select Areas of Special Interest
Spreadsheet: 872152d1718530541-issue-with-sumifs-for-30-minutes-interval-agent
Sheet: Shifts Exercise

 | 1- Agent Staffing by Start Time
 | Shift time | Shift end | Agent count | Break time |  |  | Row Labels | Sum of Agent count
 | 07:59:59.997000 | 16:59:59.997000 |  |  |  |  | 8 AM | 9
 | 08:30:00.003000 | 17:30:00.003000 |  |  |  |  | 9 AM | 8
 | 09:00:00 | 18:00:00 |  |  |  |  | 10 AM | 28
 | 09:29:59.997000 | 18:29:59.997000 |  |  |  |  | 11 AM | 13
 | 10:00:00.003000 | 19:00:00.003000 |  |  |  |  | 12 PM | 4
 | 10:30:00 | 19:30:00 |  |  |  |  | 1 PM | 12
 | 10:59:59.997000 | 19:59:59.997000 |  |  |  |  | 2 PM | 6
 | 11:30:00.003000 | 20:30:00.003000 |  |  |  |  | 3 PM | 21
 | 12:00:00 | 21:00:00 |  |  |  |  | 5 PM | 1
 | 12:29:59.997000 | 21:29:59.997000 |  |  |  |  | 6 PM | 45
 | 13:30:00 | 22:30:00 |  |  |  |  | 7 PM | 12
 | 13:59:59.997000 | 22:59:59.997000 |  |  |  |  | 8 PM | 42
 | 14:30:00.003000 | 23:30:00.003000 |  |  |  |  | 11 PM | 18
 | 15:00:00 | 1900-01-01 00:00:00 |  |  |  |  | Grand Total | 219
 | 16:59:59.997000 | 1900-01-01 01:59:59.997000
 | 18:00:00 | 1900-01-01 03:00:00
 | 18:29:59.997000 | 1900-01-01 03:29:59.997000
 | 19:00:00.003000 | 1900-01-01 04:00:00.003000
 | 19:30:00 | 1900-01-01 04:30:00
 | 19:59:59.997000 | 1900-01-01 05:00:00
 | 22:59:59.997000 | 1900-01-01 07:59:59.997000
 | 2- Intraday Agent Coverage
 | Start time | End time | Agent count including break | Agent count after break
 | 00:00:00
Spreadsheet: 03a79483-7ee2-49e8-81a8-146073622501
Sheet: Sheet1

CNV | chrom | start | end | length | No. of SNP eQTLs | bestr2 | bestTagSNP
CNVR2845.21 | 6 | 32519885 | 32887814 | 367929 | 425 | 1 | rs9271720
CNVR2829.7 | 6 | 29761933 | 30031389 | 269456 | 324 | 0.96475 | rs3188482
CNVR7114.2 | 17 | 41521114 | 42139954 | 618840 | 212 | 0.466607 | rs17651507
CNVR6075.1 | 14 | 19870605 | 20327718 | 457113 | 202 | 0.98738 | rs10146419
CNVR3898.4 | 8 | 58209490 | 58359267 | 149777 | 162 | 0.978912 | rs10504229
CNVR3170.2 | 6 | 168076579 | 168341749 | 265170 | 154 | 0.0756666 | rs637578
CNVR6609.4 | 16 | 3815755 | 4260694 | 444939 | 126 | 0.0504154 | rs13333551
CNVR3936.3 | 8 | 75738134 | 76087773 | 349639 | 126 | 0.578093 | rs17292864
CNVR7114.8 | 17 | 41568592 | 41626007 | 57415 | 106 | 0.365923 | rs2668628
WTCCC1_56 | 4 | 135204855 | 135377711 | 172856 | 100 | 0
CNVR8103.3 | 22 | 20783535 | 20935345 | 151810 | 92 | 0.0178648 | rs5750449
WTCCC1_91 | 6 | 162697695 | 162834267 | 136572 | 88 | 0.965544 | rs7758475
CNVR6609.1 | 16 | 3815340 | 4105747 | 290407 | 86 | 0.0632596 | rs13333551
CNVR6072.4 | 14 | 19247050 | 19494593 | 247543 | 85 | 0.270602 | rs1632089
CNVR7658.5 | 19 | 48239642 | 48492519 | 252877 | 75 | 0.0211117 | rs1533709
CNVR4713.1 | 10 | 46999208 | 47175011 | 175803 | 73 | 0.258429 | rs28580083
CNVR4527.3 | 9 | 137287086 | 137450120 | 163034 | 72 | 0.0331376 | rs2477078
CNVR230.1 | 1 | 83370836 | 83727807 | 356971 | 69 | 0.0543118 | rs6576760
CNVR8103.16 | 22 | 20783598 | 20880884 | 97286 | 67 | 0.0283001 | rs7286238
CNVR1957.2 | 4 | 70052484 | 70328860 | 276376 | 66 | 0.9577 | rs12499133
CNVR1120.1 | 2 | 205980337 | 206233532 | 253195 | 66 | 0.990362 | rs10207236
CNVR5031.2 | 11 | 3382657 | 3631565 | 248908 | 65 | 1 | rs10834648
CNVR7114.10 | 17 | 41626903 | 41724649 | 97746 | 63 | 0.301805 | rs17654016
CNVR3428.1 | 7 | 64515314 | 64596817 | 81503 | 62 | 0.0172225 | rs10215130
CNVR7658.2 | 19 | 48000706 | 48238985 | 238279 | 59 | 0.177602 | rs4341855
CNVR5432.2 | 12 | 11033424 | 11060725 | 27301 | 58 | 0.987586 | rs7138953
Affy6_41 | 8 | 137836926 | 137881042 | 44116 | 57 | 0.217291 | rs1846525
A112 | 2 | 37762891 | 37858812 | 95921 | 56 | 0.995415 | rs41451550
WTCCC1_135 | 10 | 44588905 | 44654956 | 66051 | 54 | 0.0537333 | rs4948915
CNVR6072.5 | 14 | 19359520 | 19495152 | 135632 | 54 | 0.284946 | rs1632089
CNVR2643.1 | 5 | 149213896 | 149409840 | 195944 | 54 | 0.84074 | rs10053292
W3643 | 6 | 29944720 | 30026233 | 81513 | 51 | 1 | rs2107198
CNVR3994.1 | 8 | 104251295 | 104314705 | 63410 | 50 | 0.96397 | rs7844873
Supplementary [NAME].  We identified 33 CNVs harboring 50 or more SNP eQTLs that predict the expression of a transcript.
Spreadsheet: bb24c69d-222f-468d-b99d-e01304c502dc
Sheet: Sheet1

# | [NAME] | [NAME] | min. | sec. | 2b s. | 2b ú. | 3b s. | 3b ú. | TH s. | TH ú. | DU | DO | DC | Bl | As | M+ | M- | F+ | F- | Val | b.
4 | [NAME] | Dušan | 27 | 46 | 5 | 4 | 3 | 2 | 2 | 2 | 1 | 1 | 2 | 0 | 2 | 2 | 0 | 1 | 3 | 18 | 16
5 | [NAME] | [NAME] | 34 | 40 | 13 | 7 | 1 | 0 | 4 | 1 | 2 | 11 | 13 | 0 | 1 | 2 | 2 | 5 | 3 | 21 | 15
6 | Sanders | Levell | 28 | 31 | 7 | 3 | 3 | 0 | 4 | 4 | 0 | 3 | 3 | 0 | 4 | 1 | 4 | 3 | 1 | 9 | 10
7 | Muirhead | [NAME] | 31 | 50 | 5 | 2 | 3 | 0 | 2 | 2 | 1 | 1 | 2 | 0 | 5 | 0 | 3 | 3 | 1 | 6 | 6
8 | Hájek | [NAME] | 4 | 58 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | -2 | 0
9 | Gavlák | Juraj | 11 | 29 | 0 | 0 | 3 | 0 | 2 | 2 | 0 | 2 | 2 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 2
10 | Medek | Roman | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
11 | Walker | [NAME] | 29 | 55 | 10 | 4 | 0 | 0 | 2 | 1 | 4 | 5 | 9 | 1 | 1 | 0 | 4 | 4 | 3 | 10 | 9
12 | [NAME] | Nerijus | 20 | 29 | 2 | 1 | 3 | 0 | 2 | 1 | 0 | 1 | 1 | 0 | 0 | 3 | 1 | 3 | 1 | 3 | 3
13 | Kraus | Karel | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
14 | [NAME] | [NAME] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
15 | Pelikán | [NAME] | 10 | 18 | 4 | 2 | 0 | 0 | 4 | 2 | 5 | 2 | 7 | 2 | 0 | 0 | 0 | 2 | 1 | 12 | 6
 |  |  | 40 | 0 | 47 | 23 | 17 | 2 | 22 | 15 | 13 | 26 | 39 | 3 | 14 | 8 | 15 | 22 | 16 | 63 | 67
 |  |  |  |  | 49% |  | 12% |  | 68%
Spreadsheet: 87148d1287019872-sort-from-one-matrix-then-lookup-and-assign-corresponding-value-sortmatrix
Sheet: Sheet1

177 | 177 | 181 | 179
250 | 251 | 263 | 221
290 | 296 | 296 | 289
0.05 | 0.05 | 0.05007 | 0.05004
0.06 | 0.06002 | 0.0601 | 0.0595
0.07 | 0.0705 | 0.0705 | 0.0699
step1 | [NAME] | step3
177 | 177 | 0.05
181 | 179 | 0.05004
179 | 181 | 0.05007
250 | 221 | 0.0595
251 | 250 | 0.06
263 | 251 | 0.06002
221 | 263 | 0.0601
290 | 289 | 0.0699
296 | 290 | 0.07
289 | 296 | 0.0705
Spreadsheet: 294829d1391523923-scenario-for-paid-dates-freshfruit
Sheet: Sheet2

10 | 0.5
15 | 0.4 |  |  |  |  |  |  | Press Ctrl + Shift + Q to run macro
55
 |  |  |  |  |  |  |  | Press Alt + F8  / "Step into" to see macro
2014-02-01 00:00:00
Day |  | 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
Invoices |  | 100 |  |  |  |  | 300 |  |  |  |  | 200
Invoices Paid |  |  |  |  |  |  |  |  |  |  |  | 50 |  |  |  |  | 190 |  |  |  |  | 220 |  |  |  |  | 80
2014-03-01 00:00:00
Day |  | 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
Invoices
Invoices Paid |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10
2014-04-01 00:00:00
Day |  | 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
Invoices
Invoices Paid |  |  | 30 |  |  |  |  | 20
Spreadsheet: 526099d1499113523-multiple-criteria-within-date-range-and-matching-value-within-row-excelforum
Sheet: BeforeSheet2

Date of Measurement | Identifier | Measurement | Row which measurement matches Identifier and [NAME] within date range from BeforeSheet1
2015-01-10 00:00:00 | ABC123 | 1.2
2015-03-01 00:00:00 | ABC123 | 3.4
2015-04-01 00:00:00 | ABC123 | 5.2
2015-01-12 00:00:00 | ABC456 | 3.4
2015-01-10 00:00:00 | ABC456 | 7.2
2015-12-11 00:00:00 | ABC456 | 5
2015-12-10 00:00:00 | ABC456 | 3.3
Spreadsheet: 155855d1337085201-calculating-3-from-5-cells-bazzabarry_overall-points-from-15-races_15may12_01
Sheet: Sheet1

Please Note: It's hard to show the current leader in the Grand Prix results because runners need to complete in 3 from 5 races in the Road, Fell & Trail races. The best 3 results from each category will go towards the final results where runners need to complete the 9 races to count, this will become alot clearer when the runners  have completed alot more races. The winner will be the runner with the lowest points from the 9 races. This system works with all other Grand Prix series around the North-west including the mid-Lancs. and Red rose cross country.
 |  |  |  |  | Hameldon (fell) | Pinhaw ( Trail) | [NAME]( Trail) | Burnley Lions 10K(road) | Kelbrook(fell) | Barley Classic(fell) | Burnley Boys Club 10K(Road) | Hendon Brook(Road) | Trawden(Trail) | Towneley 5K(road) | [NAME]) | Hurst Green(Trail) | Cliviger 6 mile( Road) | Worsthorne Moor (fell) | Buulsworth Fell( fell) | Total Road Points ( 3from 5) | Total Trail points ( 3from 5) | Total Fell points ( 3 from 5) | Overall points best 3 from 5 road,Trail & Fell
Num | Forename | Surname | Cat | Club |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Road | Trail | Fell | Overall
34 | [NAME] | Green | F | Keighley + Craven AC | 1 | 1 | 3 | 5 | 2 | 6 | 4 | 8 | 1 | 2 | 6 | 8 | 4 | 7 | 3
107 | Beckie | [NAME] | FJ | [NAME] | 2 | 3 | 1 | 2 | 5 | 3 | 2 | 9 | 3 | 1 | 4 | 12 | 3 | 4 | 2
Spreadsheet: 0f387a83-d69a-4ac5-8206-4539a133bf5c
Sheet: Sheet1

Last Name | First Name
[NAME] | [NAME]
Anaya | Shane
Bailey | [NAME]
Baxendale | [NAME]
Belle | [NAME]
Bishop | [NAME]
Bishop | [NAME]
Black | [NAME]
[NAME] | [NAME]
[NAME] | [NAME]
Burch | Holly
Burke | [NAME]
Camp | Constance
Chamblin | [NAME]
Chapman | [NAME]
Coulter | Kelly
Cragg | [NAME]
Crump | [NAME]
[NAME] | Amber
Deal | Sallie
[NAME] | Holly
[NAME] | Ute
Faulkner | [NAME]
Fitzgerald | [NAME]
[NAME] | [NAME]
Gaskins | [NAME]
[NAME] | [NAME]
Heinen | [NAME]
Hill | Jonathon
[NAME] | [NAME]
[NAME] | Phillips
Kauer | [NAME]
[NAME] | Dawn
[NAME] | [NAME]
Killar | Celeste
Leath | [NAME]
Little | Emily
Mackey | [NAME]
[NAME] | Kimberly
Martin | [NAME]
McKown | Randall
Morse | [NAME]
Moses | [NAME]
Mosher | Virginia
Parrish | [NAME]
[NAME] | [NAME]
Pike | [NAME]
Placino | Marvin
Price | [NAME]
Reed | [NAME]
Ruane | [NAME]
Schudt | Dawn
[NAME] | Gregory
Sifford | Amanda
Singer | [NAME]
Smith | [NAME]
Staley | [NAME]
Stanford | [NAME]
Tart | [NAME]
Teague | [NAME]
Teague | Heather
[NAME] | [NAME]
Tompson | Jeffery
Walsh | [NAME]
Ward | [NAME]
West | [NAME]
Wilson | Scott
Spreadsheet: sally_beck__34345__bookentrytemplate
Sheet: Field Constraints

Field Name | Type | Required? | MaxSize | Values | Notes
BOOKID | Text | Yes | 20 | No spaces | Must be unique
Portfolio Type Code | Text | Yes | 1 | From BookRequest Form/as defined in ERMS
Book Code | Text | Yes | 1 | From BookRequest Form/as defined in ERMS
Book Type Code | Text | Yes | 1 | From BookRequest Form/as defined in ERMS
Region Code | Text | Yes | 15 | From BookRequest Form/as defined in ERMS
Database ID | Text | Yes | 15 | POWER, ERMS, ERMS_OLD
Trading Location | Text | Yes | 30 | See dropdown list
Administrator | Text | Yes | 10 | Valid user ID
Book Flag | Text | No | 1 | <blank>, Y, N | Special Validation - see below
Commodity Code | Text | No | 4 | From BookRequest Form/as defined in ERMS
Book Purpose | Text | No | 1 | <blank>, T,h,t,y, from Book Request form/as defined in ERMS
Group ID | Text | No | 15 | GAS, POWER
Benchmark ID | Text | No | 15 | From BookRequest Form/as defined in ERMS
Portfolio Code | Text | No | 10 | From BookRequest Form/as defined in ERMS
Book Comments | Text | No | 128 | Optional user notes about the book
Special Validation
If the Book Type Code is M or Y, then the Book Flag field must have a value (either Y or N)
If the Book Type Code is NOT M or Y, then the Book Flag field must be left empty <blank>
TradingLocation Selection List
AUS POWER
CAD GAS
CAD POWER
CONTINENTAL PWR
EURO STEEL
JAPAN GLOBAL PRODUCTS
PORTLAND GENERAL ELECTRIC
SA GAS
SA POWER
SING GLOBAL PROD
UK COAL
UK EBS
UK GAS
UK GLOBAL PROD
UK PAPER
UK POWER
UNKNOWN
US BRIDGELINE
US COAL
US EBS
US EES GAS
US EES POWER
US EMISSIONS
US ENOVATE
US FINANCIAL
US FREIGHT
US GAS CENTRAL
US GAS CLEBURNE
Spreadsheet: 716607d1612282334-overtime-calc-if-statement-returns-false-ot-calc
Sheet: Sheet1

 |  |  | Sat | Sun | Mon | Tue | Wed | Thu | Fri | Total
 |  | Reg | 8 | 10 | 10 | 10 | 0 | 0 | 0
 |  | OT
Spreadsheet: 701164d1603574355-how-to-count-the-quantity-per-piece-and-box-quantity
Sheet: Inventory

 |  |  |  | Sale Price |  |  | Sales |  | Total Remaining
 | Product Name | Quantity unit per piece | Purchase Price | Piece | Whole | Purchases | Piece | Whole | Piece | Whole
 | Product 1 | 12 | 200 |  | 250
 | Product 2 | 4 | 600 |  | 750
 | Product 3 | 40 | 1100 |  | 1300
 | Product 4 | 32 | 1080 |  | 1280
Spreadsheet: 731397d1620321435-defining-a-pivot-table-column-in-a-sumif-formula-sample-data
Sheet: Sum IF

Sum IF
All fruit | Count IF | SUMIF |  |  |  | Fruits mentioned
Apple |  |  |  |  |  | Fruits unmentioned
[NAME]
Avocado
[NAME]
[NAME]
Blackberry
Blackcurrant
Blueberry
Currant
[NAME]
Cherimoya
Clementine
Date
[NAME]
Durian
Eggplant
Elderberry
[NAME]
Gooseberry
Grape
Grapefruit
Guava
Huckleberry
Jackfruit
Jambul
Kiwi fruit
Kumquat
Legume
Lemon
Lime
Lychee
Mango
Mangostine
Melon
Cantaloupe
Honeydew melon
Watermelon
Rock melon
Nectarine
Orange
Peach
Pear
[NAME] pear or [NAME] pear
Pitaya
Physalis
Plum/prune (dried plum)
Pineapple
Pomegranate
Raisin
[NAME]
Western raspberry (blackcap)
Rambutan
Redcurrant
Salal berry
Satsuma
Star fruit
[NAME]
Tangerine
Tomato
Ugli fruit
Watermelon
Ziziphus mauritiana
Spreadsheet: 41406b63-bfc0-4730-8179-1bc70248d015
Sheet: 2012-13 weekly pace

 |  | Weeks |  | Export Sales |  |  |  |  | Inspections ([NAME]) |  |  |  |  |  | Inspections ([NAME])
 |  | Remaining | Date | Sales Needed to Meet WASDE | Shipments Needed to Meet WASDE | Actual Export Sales | [NAME] | Unshipped | Miss Gulf | 3-yr Ave | PNW | 3-Yr Ave | Total | 3-Yr Ave | Miss Gulf | 3-yr Ave | PNW | 3-Yr Ave | Cumulative Weekly Inspections | 3-Yr Ave
 |  |  | 2012-13 Wheat Exports, Weekly Pace Needed to reach forecast |  |  |  |  |  | Cumulative Weekly Inspections:
 |  | Weeks |  | Export Sales |  |  |  |  | Inspections ([NAME]) |  |  |  |  |  | Inspections ([NAME])
 |  | Remaining | Date | Sales Needed to Meet WASDE | Shipments Needed to Meet WASDE | Actual Export Sales | [NAME] | Unshipped | Miss Gulf | 3-yr Ave | PNW | 3-Yr Ave | Total | 3-Yr Ave | Miss Gulf | 3-yr Ave | PNW | 3-Yr Ave | Cumulative Weekly Inspections | 3-Yr Ave
 |  | 52
 |  | 51
 |  | 50
 |  | 49
 |  | 48
 |  | 47
 |  | 46
 |  | 45
 |  | 44
 |  | 43
 |  | 42
 |  | 41
 |  | 40
 |  | 39
 |  | 38
 |  | 37
 |  | 36
 |  | 35
 |  | 34
 |  | 33
 |  | 32
 |  | 31
 |  | 30
 |  | 29
 |  | 28
 |  | 27
 |  | 26
 |  | 25
 |  | 24
 |  | 23
 |  | 22
 |  | 21
 |  | 20
 |  | 19
 |  | 18
 |  | 17
 |  | 16
 |  | 15
 |  | 14
 |  | 13
 |  | 12
 |  | 11
 |  | 10
 |  | 9
 |  | 8
 |  | 7
 |  | 6
 |  | 5
 |  | 4
 |  | 3
 |  | 2
 |  | 1
 |  | Total
 |  |  |  | .
Spreadsheet: 63806d1264679421-vlookup-problem-getting-error-results-admin-0127
Sheet: (5) ROLL PLANT OEE

 |  |  |  |  | ROLL PLANT PRODUCTION
 |  | PRODUCTION DAY: |  | WEDNESDAY | 2010-01-27 00:00:00 |  | SALES DAY: |  |  | 2010-01-28 00:00:00 | 05
 |  |  |  | START | FINISH
 |  |  |  | 05:56:00 | 13:58:00
 | MIX | PRODUCT | DOUGH CODE | START | FINISH | MIXES MADE | FLOUR USAGE | SINGLES PRODUCED | SINGLES WRAPPED | WASTE (S21) | TARGET YIELD | ACTUAL YIELD
 |  |  | CODE | TIME | TIME
 | 5 | MUFFINS | 5316 | 05:56:00 | 06:22:00 | 5 | 185 |  | 4815 |  | 122.3625
 | 12 | M&S LUXURY | 8199 | 06:33:00 | 06:38:00 | 1 | 30 |  | #N/A |  | 236.8640625
 | 9 | M&S CLASSIC | 8194 | 06:42:00 | 07:06:00 | 4 | 120 |  | #N/A |  | 220.2890625
 | 4 | M&S APP & CIN | 7224 | 07:09:00 | 07:14:00 | 1 | 30 |  | #N/A |  | 234.09140625
 | 3 | M&S FLOURY | 8169 | 07:20:00 | 08:50:00 | 7 | 413 |  | #N/A |  | 275.55
 | 22 | PREMIUM | 5142 | 08:54:00 | 11:08:00 | 10 | 480 |  | 9023.529411764706 |  | 160.30625
 | 12 | M&S LUXURY | 8199 | 11:12:00 | 11:17:00 | 1 | 30 |  | #N/A |  | 236.8640625
 | 14 | FLOURY 4 | 5142 | 12:36:00 | 13:15:00 | 7 | 336 |  | 6316.470588235295 |  | 213.7416666666667
 | 19 | FINGERS | 5148 | 13:23:00 | 13:58:00 | 6 | 240 |  | 5550 |  | 165.15
 | 99 | HXB PASTE | - |  |  | 1 | 16
 |  |  |  |  |  | FLOUR: | 1880
 |  |  |  | Total Mixes: |  | 42 |  | 0 |  | 0
 |  |  |  |  |  |  |  | 0
 |  | lost time: | 7:35 - 7:55 (spiral) |  |  | 10:20 -10:40 (spiral)
 |  |  | 7:55 - 8:25 |  |  | 11:20 -11:50
 |  |  | 9:10 - 10:15 (spiral) |  |  | 11:50 - 12:35 (spiral)
 | MIX |  | DOUGH | MIX WEIGHT (kg) | UNIT WEIGHT (g) | MIXES MADE | MIXES CONSUMED | MIX WASTE (kg) |  | UNIT WASTE |  | FLOUR | YIELD
 | 22 | PREMIUM | 5142 | 78.92 | 80 |  |  |  |  |  |  | 48 | 160.30625
 | 19 | FINGERS | 5148 | 66.06 | 65 |  |  |  |  |  |  | 40 | 165.15 |  |  | COPY S21 REPORT HERE
 | 5 | MUFFINS | 5316 | 67.77 | 60 |  |  |  |  |  |  | 37 | 122.3625
 | 20 | M&S OATMEAL | 7123 | 72.33 | 90 |  |  |  |  |  |  | 30 | 195.89375
 | 4 | M&S APP & CIN | 7224 | 76.83 | 80 |  |  |  |  |  |  | 30 | 234.09140625
 | 3 | M&S FLOURY | 8169 | 110.22 | 65 |  |  |  |  |  |  | 59 | 275.55
 | 9 | M&S CLASSIC | 8194 | 72.3 | 80 |  |  |  |  |  |  | 30 | 220.2890625
 | 7 | MULTISEED | 8165 | 72.89 | 90 |  |  |  |  |  |  | 38 | 197.4104166666667
 | 12 | M&S LUXURY | 8199 | 77.74 | 80 |  |  |  |  |  |  | 30 | 236.8640625
 | 11 | SOFT ROLLS | 5142 | 78.92 | 65 |  |  |  |  |  |  | 48 | 197.3
 | 13 | FLOURY 6 | 5142 | 78.92 | 65 |  |  |  |  |  |  | 48 | 197.3
 | 14 | FLOURY 4 | 5142 | 78.92 | 90 |  |  |  |  |  |  | 48 | 213.7416666666667
 | 98 | - | - |  |  |  |  |  |  |  |  | 16
 | 99 | HXB PASTE | - |  |  |  |  |  |  |  |  | 32
 | Sunday |  | 02
 | Monday |  | 03
 | Tuesday |  | 04
 | Wednesday |  | 05
 | Thursday |  | 06
 | Friday |  | 07
 | Saturday |  | 01
Spreadsheet: 230957d1366911179-copy-data-based-on-selection-in-drop-down-control-sample
Sheet: Input

 |  |  |  |  |  | Input Measured Values In Orange
 |  |  | ARM |  | Travel | Travel 2 |  |  |  |  | Result | Result 2 | Result 3 | Summary Data
 | Calculated
 | Measured |  | 111 |  | 52 | 48
 | Displacement Difference
 | % Difference
1
Spreadsheet: 66260d1266955013-i-found-a-bug-in-excel-now-what-do-i-do-pivot-table-bug
Sheet: Data

Project | Year | Budget | Actual | Error
1 | 2007 | 5 | 4
2 | 2007 | 6 | 8
3 | 2007 | 7 | 7
4 | 2008 | 1 | 2
5 | 2008 | 1 | 2
6 | 2009 | 4 | 6
Spreadsheet: 2221c500-1a35-40aa-b8bc-d710e0f6acb9
Sheet: 14a

Product |  | TOTAL
Single - Name* | Corporate | 734900
 | Loans | 4870
 | Municipal | <1,000
 | Recovery
 | Sovereign | 220615
Index Tranche | Asia | <1,000
 | Europe | 171254
 | North America | 158917
Index | Asia | 26844
 | Europe | 380716
 | North America | 517510
Other | Exotic
 | Swaptions
 | Total Return Swap
TOTAL |  | 2215626
Estimated net notional amount outstanding, December 21 weekly snapshot, by product type (millions of USD), all participant types, tenors and currencies, cleared and uncleared. 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.
The Commission requests feedback on the format and content of this CFTC Swaps Report table. Submit comments to [EMAIL].
Spreadsheet: fc6e7b1d-0fa1-443d-a7be-38b37cd4403d
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
40945414 | 2014-04-11 21:08:48 | ALLIES | 1 | 6 | 4 | 1444429 | michelecannone | 6150 | mediterranean | 1944-08-25 | 1944-08-25 | [NAME] | [NAME]
40945664 | 2014-04-11 21:34:39 | AXIS | 1 | 6 | 4 | 1444429 | michelecannone | 6150 | mediterranean | 1944-08-25 | 1944-08-25 | [NAME] | [NAME]
40946063 | 2014-04-11 21:55:53 | ALLIES | 1 | 5 | 4 | 681889 | bobgun | 12499 | western | 1944-06-13 | 1944-06-13 | Carentan | Carentan
Spreadsheet: 536491d1504535839-using-excel-to-calculate-taxi-fares-taxi-question
Sheet: Sheet1

 | Basic Fare ($) | Normal | Medium | Big
 | Flag Down Fee (Inclusive of the first KM) | 3 | 3.9 | 5
 | Every 400m thereafter or less up to 10km | 0.22 | 0.25 | 0.33
 | Every 350 metres thereafter or less after 10 km | 0.18 | 0.2 | 0.28
 | Every 45 secs of waiting or less | 0.2 | 0.2 | 0.2