tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 853422d1703271014-auto-populating-formulas-and-data-validation-based-on-1-cells-data-validation-result-sample-1
Sheet: Jobs

Time to Print | Job # | Line # | Customer | QTY | H | W | Material | Sides to Print | [NAME] | Due_Date | Est. usage | PRESS | Notes
 | 243516 | 1 | BigSigns.com | 2 | 60 | 60 | ART-4483 - GFLOOR-SMALL-COIN-120 | 1 | 8 Pass | 2024-01-04 00:00:00 |  | [NAME]
 | 243516 | 1 | BigSigns.com | 2 | 60 | 60 | ART-4483 - GFLOOR-SMALL-COIN-121 | 2 | 5-Pass |  |  | 3R
 | 243516 | 1 | BigSigns.com | 2 | 60 | 60 | ART-4483 - GFLOOR-SMALL-COIN-122 | 2 | 3 Pass |  |  | HP
 | 243516 | 1 | BigSigns.com | 2 | 60 | 60 | ART-4483 - GFLOOR-SMALL-COIN-123 | 2 | Heavy Smoothing |  |  | HS 125
 | 243516 | 1 | BigSigns.com | 2 | 60 | 60 | ART-4483 - GFLOOR-SMALL-COIN-124 | 2 | [NAME] |  |  | GS 3250
 | 243516 | 1 | BigSigns.com | 2 | 60 | 60 | ART-4483 - GFLOOR-SMALL-COIN-125 | 2 | 2-Sided |  |  | [NAME]
 | 243516 | 1 | BigSigns.com | 2 | 60 | 60 | ART-4483 - GFLOOR-SMALL-COIN-126 | 2 |  |  |  | Indigo
 | 243516 | 1 | BigSigns.com | 2 | 60 | 60 | ART-4483 - GFLOOR-SMALL-COIN-127 | 2 |  |  |  | Cut Only
Spreadsheet: 86711d1286670802-duplicate-number-increasing-extention-kbx_-
Sheet: Sheet2

Sku | Product ID |  | New ID
113568 | 2097 | 1
113569 | 2097
113570 | 2097
113571 | 2097
113572 | 2097
113573 | 2098
113574 | 2099
113575 | 2100
113576 | 2100
113577 | 2100
Spreadsheet: 98366d1297287487-multiply-countif-by-criteria-in-same-row-sample-book
Sheet: Sheet1

Customer | Code | Mon | [NAME] | Wed | Thurs | Fri | Sat | Sun |  | Code | Qty | Mon | [NAME] | Wed | Thurs | Fri | Sat | Sun
cust 1 | Code 1 | Yes | No | Yes | No | Yes | No | No
cust 2 | Code 2 | No | Yes | No | Yes | No | Yes | Yes
cust 3 | Code 3 | Yes | No | Yes | No | Yes | No | Yes
cust 4 | Code 4 | Yes | No | Yes | No | Yes | No | No
cust 5 | Code 2 | Yes | No | Yes | No | No | Yes | No
cust 6 | Code 3 | No | Yes | No | Yes | Yes | Yes | No
cust 7 | Code 2 | No | Yes | No | Yes | Yes | No | Yes
cust 8 | Code 1 | Yes | No | Yes | No | No | Yes | No
cust 9 | Code 3 | No | Yes | No | Yes | Yes | Yes | No
cust 10 | Code 2 | Yes | No | Yes | No | No | No | Yes
cust 11 | Code 4 | Yes | No | Yes | No | No | No | Yes
Spreadsheet: 194804d1353339000-how-to-make-a-list-from-data-out-of-multiple-sheets-dummie
Sheet: list of 1 and 2

Collection
Comments:
Total from totals
Contract | [NAME] size+ color                       Uniquenr | Brand | Material nr. | Model | Color | Size | Release date | Contract timeframe |  | Comment |  | Contract QTY | 2012-11-13 00:00:00 | 2012-12-01 00:00:00 | 2013-01-01 00:00:00 | 2013-02-01 00:00:00 | 2013-03-01 00:00:00 | 2013-04-01 00:00:00 | 2013-05-01 00:00:00 | 2013-06-01 00:00:00 | 2013-07-01 00:00:00 | 2013-08-01 00:00:00 | 2013-09-01 00:00:00 | 2013-10-01 00:00:00 | 2013-11-01 00:00:00 | 2013-12-01 00:00:00 | 2014-01-01 00:00:00 | 2014-02-01 00:00:00 | 2014-03-01 00:00:00 | 2014-04-01 00:00:00 | 2014-05-01 00:00:00 |  | 1st delivery                     date and amount |  | 2nd delivery                     date and amount |  | 3th delivery                     date and amount |  | 4th delivery                     date and amount |  | 5th delivery                     date and amount |  | 6th delivery                     date and amount |  | 7th delivery                     date and amount |  | 8th delivery                     date and amount |  | 9th delivery                     date and amount
Spreadsheet: 118477d1313710145-combine-sumproduct-with-sumif-ptexample
Sheet: Sheet1

Date | Price | Units
2011-07-01 00:00:00 | 87.81 | 30000
2011-07-01 00:00:00 | 101.55 | 25000
2011-08-01 00:00:00 | 88 | 30000 |  | Row Labels | Average of Price
2011-08-01 00:00:00 | 101.55 | 25000 |  | 2011
2011-09-01 00:00:00 | 88.19 | 30000 |  | Jul | 94.68
2011-10-01 00:00:00 | 88.36 | 30000 |  | Aug | 94.775
2011-11-01 00:00:00 | 88.55 | 30000 |  | Sep | 88.19
2011-12-01 00:00:00 | 88.69 | 30000 |  | Oct | 88.36
2012-01-01 00:00:00 | 92.5 | 30000 |  | Nov | 88.55
2012-02-01 00:00:00 | 97.9 | 30000 |  | Dec | 88.69
2012-03-01 00:00:00 | 92.5 | 30000 |  | 2012
2012-04-01 00:00:00 | 97.9 | 30000 |  | Jan | 92.5
2012-05-01 00:00:00 | 92.5 | 30000 |  | Feb | 97.9
2012-06-01 00:00:00 | 97.9 | 30000 |  | Mar | 92.5
2012-07-01 00:00:00 | 92.5 | 30000 |  | Apr | 97.9
2012-08-01 00:00:00 | 109.45 | 30000 |  | May | 92.5
2012-09-01 00:00:00 | 92.5 | 30000 |  | Jun | 97.9
2012-10-01 00:00:00 | 108.85 | 30000 |  | Jul | 92.5
2012-11-01 00:00:00 | 92.5 | 30000 |  | Aug | 109.45
2013-01-01 00:00:00 | 113.25 | 20000 |  | Sep | 92.5
2013-02-01 00:00:00 | 113.25 | 20000 |  | Oct | 108.85
2013-03-01 00:00:00 | 113.25 | 20000 |  | Nov | 92.5
2013-04-01 00:00:00 | 102.4 | 20000 |  | 2013
2013-05-01 00:00:00 | 102.4 | 20000 |  | Jan | 113.25
2013-06-01 00:00:00 | 102.4 | 20000 |  | Feb | 113.25
 |  |  |  | Mar | 113.25
 |  |  |  | Apr | 102.4
 |  |  |  | May | 102.4
Date Range |  | Average Price |  | Jun | 102.4
2011-09-01 00:00:00 | 2012-08-30 00:00:00 | 93.91166666666666 | Want to automate this process so that averaging is done on the basis of dates selected. | Grand Total | 97.866
2012-09-01 00:00:00 | onwards | 103.5928571428571
Spreadsheet: 2254d94b-87f5-4065-b432-173bd5553e6d
Sheet: Process Analytics

Additional possible analytical measurements (as relevant)
Property (such as, but not limited to list below) | ASTM Representative Test Methods (such as, but not limited to list below) | [NAME] | Stream 1/ Distillation Fraction 1 | Stream 2/ Distillation Fraction 2 | ….
Stream Description [please include distillation fraction/cut info, if applicable]
Volume and mass % yields | D 2892 & D 5236
°API, density, specific gravity | D 5002 or D 1298
Sulfur, total, mass % | D 4294
Sediment, mass % | D 473
Water, volume % | D 4928
Salt, mass % | D 6470
Nitrogen, total, mass % | D 5762
Micro. carbon residue, mass % | D 4530
Pour Point | D 5853, D 97
Metals: Ni, V, Fe, Cu | D 5708
Organic chlorides, total, ppm | D 4929
UOP “K” factor | UOP 375
Vapor Pressure, kPa@37.8°C | D 323 or D 6377, D 5191
Acid number, mg KOH/g | D 664
H2S and mercaptans, ppm | UOP 163
Paraffins, isoparaffins, aromatics, naphthenes (PIAN) | D 5134 modified
Viscosity, [NAME], | D 445
@ 77°F
100°F
130°F
180°F
210°F
High temp. sim. Distillation | [NAME]
Hydrogen and carbon, mass % | D 5291
Refractive Index @ 60°C | D 1218
Research and [NAME] | Calculation from PIAN data
Asphaltenes, mass % | D 6560
Wax, mass % | UOP 46, modified
[NAME] | D 611
Cetane Index | D 976
Naphthalenes, volume % | D 1840
Aromatics, volume % | D 1319
Smoke Point, [NAME] | D 1322
[NAME] | D 2386
[NAME] | D 5773
Water and Sediment [Vol %], [NAME]. | D 473 & D 4006 or D 4928
Other properties as dictated by refining/off-take partner | ASTM or other method
Spreadsheet: 24da8f91-83d6-4feb-8cad-036ab24199a0
Sheet: Sheet1

▣ 아시아나카고 화물예약 안내 ▣ | Unnamed: 1 | Unnamed: 2 | Unnamed: 3
* 홈페이지 예약안내 | www.asianacargo.co.kr
* 화물예약 대표번호 안내
◎ [NAME]
► 서울 화물지점 | TEL  3200-988 (대표번호)     /     FAX  3200-990 (930)
► 부산 화물지점 | TEL  [PHONE]  / FAX [PHONE]
► 부산 수출 | TEL  [PHONE]
◎ 수입 / 통관 화물 안내
► 인천 수입  안내 | TEL  [PHONE]~9
► 부산 수입  안내     TEL  [PHONE]
◎ 국내 화물 안내          TEL   2669-1335
* 서울 화물지점 화물예약 CONTROL PART 담당자 안내
노  선 | 담당자 (업무대행자) | 전화번호 | E-MAIL
미주 동부, 총괄 | [NAME] | 3200-921 | [EMAIL]
미주 서부 | [NAME] | 3200-946 | [EMAIL]
유럽 / TAS,ALA | [NAME] | 3200-946 | [EMAIL]
동남아 ([NAME]) / 대양주 | 과장 임보영 | 3200-931 | [EMAIL]
일본 | 대리 이효정 | 3200-951 | [EMAIL]
중국 / UUS,KHV,VVO | 대리 이효정 | 3200-951 | [EMAIL]
Spreadsheet: 142093d1329650591-running-correlation-coefficient-excelprob
Sheet: Sheet1

series of stock price data ordered by date |  |  |  | re sort data |  |  |  |  | correlation between
 |  |  |  | in descending series |  |  |  |  | trend and perfect trend
 |  |  |  | over x number of periods |  |  |  |  | ie descending prcie series
 |  |  |  |  |  |  |  |  | ie want to figure out how well the series of price data
 |  |  |  |  |  |  |  |  | is correlated with a perfect trend based on all the data points
 |  |  |  |  |  |  |  |  | however I want to see how the correlation moves over time over a long time series
 |  |  |  | 20 | weeks |  |  |  | im no sure how to do thus efficiently with one formula
 |  |  |  |  |  |  |  |  | correlation
2012-02-03 00:00:00 | 20 |  |  | 20 |  |  |  |  | 0.8445905558876269
2012-01-27 00:00:00 | 19 |  |  | 19 | 19 |  |  |  | 0.771689497716895
2012-01-20 00:00:00 | 14 |  |  | 19 | 19 | 19 |  |  | 0.7207413048997207
2012-01-13 00:00:00 | 16 |  |  | 18 | 18 | 18 | 19 |  | 0.7821969696969695
2012-01-06 00:00:00 | 19 |  |  | 17 | 17 | 17 | 18 | 19 | 0.8143115942028984
2011-12-30 00:00:00 | 15 |  |  | 16 | 16 | 16 | 17 | 18
2011-12-23 00:00:00 | 18 |  |  | 16 | 16 | 16 | 16 | 17
2011-12-16 00:00:00 | 13 |  |  | 15 | 15 | 15 | 16 | 16
2011-12-09 00:00:00 | 17 |  |  | 15 | 15 | 15 | 15 | 15
2011-12-02 00:00:00 | 13 |  |  | 14 | 14 | 14 | 15 | 15
2011-11-25 00:00:00 | 11 |  |  | 13 | 13 | 13 | 13 | 13
2011-11-18 00:00:00 | 13 |  |  | 13 | 13 | 13 | 13 | 13
2011-11-11 00:00:00 | 12 |  |  | 13 | 13 | 13 | 13 | 13
2011-11-04 00:00:00 | 15 |  |  | 12 | 12 | 12 | 12 | 12
2011-10-28 00:00:00 | 16 |  |  | 12 | 12 | 12 | 12 | 12
2011-10-21 00:00:00 | 12 |  |  | 11 | 11 | 11 | 11 | 11
2011-10-14 00:00:00 | 11 |  |  | 11 | 11 | 11 | 11 | 11
2011-10-07 00:00:00 | 10 |  |  | 10 | 11 | 11 | 11 | 11
2011-09-30 00:00:00 | 8 |  |  | 8 | 10 | 10 | 10 | 10
2011-09-23 00:00:00 | 7 |  |  | 7 | 8 | 10 | 10 | 10
2011-09-16 00:00:00 | 11 |  |  |  | 7 | 8 | 9 | 9
2011-09-09 00:00:00 | 10 |  |  |  |  | 7 | 8 | 8
2011-09-02 00:00:00 | 9 |  |  |  |  |  | 7 | 8
2011-08-26 00:00:00 | 8 |  |  |  |  |  |  | 7
2011-08-19 00:00:00 | 7
2011-08-12 00:00:00 | 10 |  |  |  | is there a formula to calculte the correlation as I will need to use a huge amount of columns and manually resort
2011-08-05 00:00:00 | 11 |  |  |  | to determine descending series?
2011-07-29 00:00:00 | 7
2011-07-22 00:00:00 | 7
2011-07-15 00:00:00 | 6
2011-07-08 00:00:00 | 6
assume list goes on several hundered data points
Spreadsheet: 697894d1601590134-sum-the-population-of-the-3-highest-areas-topx
Sheet: Sheet2

Area | Population
1000 | 1
354 | 2
564 | 3 |  | Higest | 3
875 | 4
421 | 5
987 | 6
12 | 7
 |  | Should sum the population of the 3 highest areas
 |  | * 3 cames from E4 to dinamicaly sum the n higest areas
 |  | In the example the result should be: 11 ( 1+4+6)
Spreadsheet: eric_saibi__9764__012202R
Sheet: Homer City 01

Owner Name |  | Edison Mission Energy
Station Name |  | Homer City Power Station
Unit Name |  | Homer City 01
NERC Region |  | MAAC
State |  | PA
Fuel Type |  | Coal
Capacity |  | 660 MW
Start Date |  | 2002-01-08 00:00:00
End Date |  | 2002-01-20 00:00:00
Prv. Start Date |  | 2002-01-08 00:00:00
Prv. End Date |  | 2002-02-06 00:00:00
Comments |  | Cracked in the header.
SIC |  | 4931
Plant ID |  | 1016344
Unit ID |  | 1009411
Outage ID |  | 19408
Spreadsheet: chris_germany__2070__Tenaska IV Est Imbalance0402
Sheet: Sheet1

Ponderosa Pine Energy Cleburne Plant
TXU Lone Star Pipeline
April, 2002
Estimated Usages*
 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10
RECEIVED | 34650 | 34650 | 34650 | 34650 | 34650 | 34650 | 34650 | 34650 | 38610 | 34650
DELIVERED | 35579.35799999999 | 36390 | 33951 | 33227 | 28455 | 37337 | 38120 | 32723 | 33539 | 31690
DAILY IMBALANCE
MONTHLY IMBALANCE
ACCUM IMBALANCE
 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20
RECEIVED | 34650 | 34650 | 34650 | 34650 | 34650 | 0 | 0 | 0 | 0 | 0
DELIVERED | 21015 | 14856 | 24764 | 16127 | 27477 | 0 | 0 | 0 | 0 | 0
DAILY IMBALANCE
MONTHLY IMBALANCE
ACCUM IMBALANCE
 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31
RECEIVED | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
DELIVERED | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
DAILY IMBALANCE
MONTHLY IMBALANCE
ACCUM IMBALANCE
*These numbers are based on estimates and are subject to change
Spreadsheet: 578891d1529551005-yearly-roster-day-count-to-date-roster-in-work
Sheet: Sheet1

 |  |  |  |  |  |  |  |  |  | 2018-01-01 00:00:00
 |  | Year | 2018
Spreadsheet: 19fc96ab-7cc4-4123-aa79-6a97aad4818f
Sheet: Sheet1

A. Number of haplotypes explained by a single, simple joining event | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8
MT gene | Age (Fissions) | II | V | VI | IV | VII | III | Total
MTA | 0 | 10/10a | 10/10 | 10/10 | 9/10 | 10/10 | 11/11 | 60/61
Percent | 0 | 1 | 1 | 1 | 0.9 | 1 | 1 | 0.98
MTB | 0 | 13/31 | 20/30 | 21/30 | 25/28 | 25/30 | 23/23a | 127/172
Percent | 0 | 0.42 | 0.67 | 0.7 | 0.89 | 0.83 | 1 | 0.74
MTA | 120 | 4/4 | 2/3 | 4/4 | 3/3 | 3/3 | 3/3 | 19/20
Percent | 120 | 1 | 0.67 | 1 | 1 | 1 | 1 | 0.95
MTB | 120 | 3/4 | 0/3 | 0/4 | 0/3 | 0/3 | 1/3b | 4/20
Percent | 120 | 0.75 | 0 | 0 | 0 | 0 | 0.33 | 0.2
B. Number of haplotypes with more than two genes involved in recombination eventsc
MT gene | Age (Fissions) | II | V | VI | IV | VII | III | Total
MTA | 0 | 0/10d | 0/10 | 0/10 | 1/10 | 0/10 | 0/10 | 1/60
Percent | 0 | 0 | 0 | 0 | 0.1 | 0 | 0 | 0.02
MTB | 0 | 18/31 | 3/28 | 8/30 | 9/30 | 8/30 | 0/23 | 46/172
Percent | 0 | 0.58 | 0.11 | 0.27 | 0.3 | 0.27 | 0%d | 0.27
MTA | 120 | 0/4d | 1/3 | 0/4 | 0/3 | 0/3 | 0/3 | 1/16
Percent | 120 | 0 | 0.33 | 0 | 0 | 0 | 0 | 0.06
MTB | 120 | 1/4 | 3/3 | 4/4 | 2/3 | 1/3 | 2/3b | 13/20
Percent | 120 | 0.24 | 1 | 1 | 0.67 | 0.33 | 0.67 | 0.65
C. Number of gene conversion events observed various haplotypese
MT gene | Age (Fissions) | II | V | VI | IV | VII | III | Total
MTA | 0 | 0/10 | 0/11 | 0/10 | 0/10 | 0/10 | 0/10 | 0/60
Percent | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
MTB | 0 | 16/31 | 0/30 | 20/30 | 4/28 | 4/30 | 0/30 | 44/179
Percent | 0 | 0.51 | 0 | 0.67 | 0.14 | 0.13 | 0 | 0.25
MTA | 120 | 0/4 | 0/3 | 0/4 | 0/3 | 0/3 | 0/3 | 0/20
Percent | 120 | 0 | 0 | 0 | 0 | 0 | 0 | 0
MTB | 120 | 0/4 | 3/3 | 2/4 | 3/3 | 3/3 | 3/3 | 14/20
Percent | 120 | 0 | 1 | 0.5 | 1 | 1 | 1 | 0.7
Spreadsheet: judy_townsend__17724__Spinnake03-002 Revision_1
Sheet: VERM376-375

 | SPINNAKER EXPLORATION COMPANY, L.L.C.
 | BASELOAD VOLUME:
 | EXCESS VOLUME ABOVE:
 | BASELOAD MINIMUM: |  |  |  | VOLUME | ANR |  |  | BTU
 |  |  |  |  | BELOW | GAS DAILY |  |  | FACTOR
 |  |  | BASELOAD | EXCESS | BASELOAD | MID POINT $ |  | KEEP WHOLE | of
 |  | ACTUALS |  | VOLUME | MINIMUM | LESS T&E/FUEL |  | AMOUNT | 1.021
 | 2001-03-01 00:00:00 |  |  |  | 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
 | avg
 |  |  | CHECK
 |  | BASELOAD  $ AMOUNT |  |  |  |  |  | TRANSPORT = | 0
 |  | EXCESS $ AMOUNT |  |  |  |  |  | FUEL = | 0
 |  | KEEP WHOLE AMOUNT
Spreadsheet: 02e4b555-05a6-40f8-a00e-8401a50136eb
Sheet: 10c

Product | AUD** | CAD | CHF | DKK | KRW | NOK | NZD | SEK | ZAR | TOTAL
Basis*
FRA
IRS- [NAME]
OIS
VNS
Zero Coupon
TOTAL | N/A*** | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Estimated net notional amount outstanding, February 8 weekly snapshot, by product type and major currency (millions of USD), cleared swaps only, all participant types and tenors.
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: 89191d1288939329-macro-to-paste-column-data-into-rows-macro-to-paste-column-data-into-rows
Sheet: Outcome

 | Vendor | contact | address | fax | bank
 | xyz | 123 | 456
 | yza | 234 | 567 | 891 | 234
 | bcd | 123 | 456 | 789
 | cbd | 123 | 456
Spreadsheet: 526198d1499182485-cell-formating-from-another-sheet-nopass
Sheet: Weld Map

 |  |  |  | PROJECT |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | DATE
 |  |  |  | [NAME] |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | A. SHEET #
 |  |  |  | SPREAD |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | STATION |  | 34175 |  | TO
PIPE SIZE |  |  |  | WALL |  |  |  | GRADE |  |  |  | INSPECTOR |  |  |  |  |  |  |  |  |  | TOTAL
REMARKS
X-RAY STATION
Joint No.
Heat No.
Pipe Length
Wall Thickness
[NAME]
Total Length
X-RAY STATION
Joint No.
Heat No.
Pipe Length
Wall Thickness
[NAME]
Total Length
X-RAY STATION
Joint No.
Heat No.
Pipe Length
Wall Thickness
[NAME]
Total Length
Spreadsheet: 759664d1639656897-finding-based-on-conditional-format-dates-training-tracker
Sheet: Sheet2

If 0 = One time training                      if 12 = needs done every 12 months   if 24 = needs done every 24 months   if 36 = needs done every 36 months   if 48 = needs done every 48 months |  |  | Training 1 | Training 2 | Training 3 | Training 4 | Training 5 | Training 6 | Training 7 | Training 8 | Training 9 | Training 10 | Training 11 | Training 12 | Training 13 | Training 14 | Training 15 | Training 16 | Training 17 | Training 18 | Training 19 | Training 20 | Training 21 | Training 22 | Training 23 | Training 24 | Training 25 | Training 26 | Training 27 | Training 28 | Training 29 | Training 30 | Training 31 | Training 32 | Training 33 | Training 34 | Training 35 | Training 36 | Training 37 | Training 38 | Training 39 | Training 40 | Training 41
Percent Complete | Overall % of everyone
 | Months |  | 0 | 36 | 12 | 48 | 48 | 24 | 12 | 24 | 36 | 12 | 12 | 48 | 0 | 48 | 12 | 0 | 0 | 0 | 24 | 24 | 48 | 24 | 12 | 24 | 24 | 12 | 12 | 12 | 12 | 12 | 48 | 0 | 0 | 0 | 12 | 36 | 36 | 36 | 24 | 24 | 12
Person | Percent Comp.
Person 1
Person 2
Person 3
Person 4
Person 5
Person 6
Person 7
Person 8
Person 9
Person 10
Person 11
Person 12
Person 13
Person 14
Person 15
Person 16
Person 17
Person 18
Person 19 |  |  |  | 2019-02-07 00:00:00 |  | 2020-05-22 00:00:00 |  |  |  |  |  |  |  |  |  |  | 2021-08-11 00:00:00 |  |  |  |  |  | 2021-11-23 00:00:00 |  | 2021-11-02 00:00:00 |  |  |  |  |  |  |  |  |  |  |  |  | 2021-08-26 00:00:00 |  |  |  | 2021-11-02 00:00:00
Person 20
Person 21
Person 22
Person 23
Person 24
Person 25
Person 26
Person 27
Person 28
Person 29
Person 30
Person 31
Person 32
Person 33
Person 34
Person 35
Person 36
Person 37
Person 38
Person 39
Person 40
Person 41
Person 42
Person 43
Person 44
Person 45
Person 46
Person 47
Person 48
Person 49
Person 50
Person 51
Person 52
Person 53
Person 54
Person 55
Person 56
Person 57
Person 58
Person 59
Person 60
Person 61
Person 62
Person 63
Person 64
Person 65
Person 66
Spreadsheet: louise_kitchen__24047__Wholesale Consolidated
Sheet: East Power

 | East Power
 |  | 2001-09-01 00:00:00 |  | 2001-09-01 00:00:00 |  | %
 |  | YTD Actual |  | Annualized |  | of Total
ENACOMP | Compensation
 | Special Pays
 | Analysts & Associates
ENABENTX | Benefits & Payroll Taxes
ENAEMPEX | Employee Expense
ENAT&EEX | Travel & Entertainment Expense
ENAOUTSV | Outside Services
ENASUPP | Supplies Expense
ENAMKTEX | Marketing
ENACONTR | Charitable Contributions
ENARENT | Rent
ENATECH | Technology
ENATRANS | Transportation
ENAOTHEX | Other Expenses
ENATAXES | Taxes Other than Income
ENATOTDR | Total Direct Expenses
 | Headcount
 | Analyst & Associate Headcount
 | Total Headcount
Spreadsheet: 26758d1219239085-week-to-date-total-copy-of-book1-1
Sheet: Sheet1

 |  | Sales Goal
 |  | [NAME] | Lunch Actual |  | Dinner Goal | Dinner Actual |  | Total Goal | Total Actual
Wednesday | 2008-08-13 00:00:00 | 2132.2574 |  |  | 3863.1944 |  |  | 5995.4518 | 0
Thursday | 2008-08-14 00:00:00 | 2186.41 |  |  | 3859.54 |  |  | 6045.95 | 0
Friday | 2008-08-15 00:00:00 | 2214.595 |  |  | 4641.567500000001 |  |  | 6856.1625 | 0
Saturday | 2008-08-16 00:00:00 | 2654.9175 |  |  | 4166.76 |  |  | 6821.6775 | 0
Sunday | 2008-08-17 00:00:00 | 3143.6325 |  |  | 2928.927499999999 |  |  | 6072.559999999999 | 0
Monday | 2008-08-18 00:00:00 | 1604.885 |  |  | 3050.22 |  |  | 4655.105 | 0
Tuesday | 2008-08-19 00:00:00 | 1829.22 |  |  | 3626.0825 |  |  | 5455.3025 | 0
Lunch | 15765.9174 |  | 15765.9174
Actual | 0
Difference | -15765.9174 |  | Sales Increase |  |  | 0.04
Dinner | 26136.2919 |  | Week to date here
Actual | 0
Difference | -26136.2919
All Day | 41902.20929999999 |  | Week to date here
Actual | 0
Difference | -41902.20929999999
Spreadsheet: 04b4bf36-1f34-4b76-93f0-cabfc4c80ae1
Sheet: Figure 5 Characteristics

Figure 5: School Characteristics
 |  | Statewide District | Statewide Charter
Percentage of students eligible for free or reduced price lunch |  | 0.269 | 0.653
Percentage of schools eligible for Title 1 |  | 0.507 | 0.906
Percent of students by school type
 | Primary (K-5) | 0.477 | 0.634
 | Middle (6-8) | 0.204 | 0.113
 | High (9-12) | 0.303 | 0.112
 | Other (K-12,K-8, etc.) | 0.016 | 0.141
Spreadsheet: 140325d1328706501-how-can-the-merge-the-two-cells-data-in-a-single-sheet-book1
Sheet: Sheet2

Item Code | Subinventory | Stock Locator
010-00122 | SUB-INV- X | XC03-D-001
010-00123 | SUB-INV- X | [NAME]
010-00124 | SUB-INV- X | XA12-D-001
010-00126 | SUB-INV- Z | ZC01-B-003
010-00130 | SUB-INV- X | XB15-F-002
010-00138 | SUB-INV- X | [NAME]
010-00139 | SUB-INV- X | XB07-A-001
010-00140 | SUB-INV- X | XC04-F-002
010-00144 | SUB-INV- X | [NAME]
010-00145 | SUB-INV- X | [NAME]
010-00147 | SUB-INV- X | XA15-B-001
010-00157 | SUB-INV- X | [NAME]
010-00158 | SUB-INV- X | XC03-C-001
010-00162 | SUB-INV- X | [NAME]
010-00171 | SUB-INV- X | [NAME]
010-00172 | SUB-INV- X | XC03-A-001
010-00175 | SUB-INV- X | [NAME]
010-00180 | SUB-INV- X | XC03-E-001
010-00190 | SUB-INV- X | XA19-D-002
010-00192 | SUB-INV- X | XA19-F-002
010-00193 | SUB-INV- X | XA19-E-001
010-00194 | SUB-INV- X | XB01-D-001
010-00195 | SUB-INV- X | XA17-H-001
010-00196 | SUB-INV- X | XA18-A-001
010-00197 | SUB-INV- X | XA01-C-001
010-00198 | SUB-INV- X | [NAME]
010-00200 | SUB-INV- X | XA19-C-002
010-00202 | SUB-INV- X | XB06-A-001
010-00204 | SUB-INV- X | XA19-B-001
010-00205 | SUB-INV- X | [NAME]
010-00206 | SUB-INV- X | XA17-A-001
010-00207 | SUB-INV- X | XC04-H-001
010-00212 | SUB-INV- X | XA03-A-001
010-00214 | SUB-INV- Z | ZC01-A-001
010-00215 | SUB-INV- Z | ZC02-B-001
010-00216 | SUB-INV- X | XC05-A-001
010-00217 | SUB-INV- X | XC06-A-001
010-00219 | SUB-INV- X | [NAME]
010-00220 | SUB-INV- X | [NAME]
010-00221 | SUB-INV- X | [NAME]
010-00222 | SUB-INV- X | [NAME]
010-00223 | SUB-INV- X | [NAME]
010-00224 | SUB-INV- X | XB06-E-001
010-00225 | SUB-INV- X | XB07-E-001
010-00227 | SUB-INV- X | XC04-C-001
010-00228 | SUB-INV- X | XB02-D-001
010-00230 | SUB-INV- X | XB03-C-001
010-00232 | SUB-INV- X | [NAME]
010-00235 | SUB-INV- X | XB02-G-001
Spreadsheet: john_griffith__16170__1_28_02LO
Sheet: Sheet1

 |  |  | SCS  OPTION  DATA
 | TICKER | STRIKE | STR BID | STR ASK | B VOL | A VOL | M STD/DAY | WHEN
 | CL H2 | 20 | 175 | 183 | 50.9 | 53.2 | 0.65 | 2002-01-28 14:43:00
 | CL J2 | 20.5 | 280 | 290 | 48.5 | 50.2 | 0.64 | 2002-01-28 14:43:00
 | CL K2 | 20.5 | 355 | 365 | 47.1 | 48.5 | 0.62 | 2002-01-28 14:43:00
 | CL M2 | 20.5 | 395 | 410 | 45 | 46.7 | 0.59 | 2002-01-28 14:43:00
 | CL N2 | 20.5 | 435 | 450 | 43.7 | 45.2 | 0.57 | 2002-01-28 14:43:00
 | CL Q2 | 20.5 | 470 | 480 | 43 | 44 | 0.56 | 2002-01-28 14:43:00
 | CL U2 | 20.5 | 485 | 490 | 41.3 | 41.7 | 0.53 | 2002-01-28 14:43:00
 | [NAME] | 20.5 | 490 | 505 | 38.7 | 39.9 | 0.51 | 2002-01-28 14:43:00
 | CL X2 | 20.5 | 495 | 510 | 36.9 | 38.1 | 0.48 | 2002-01-28 14:43:00
 | [NAME] | 20.5 | 500 | 515 | 35.6 | 36.7 | 0.47 | 2002-01-28 14:43:00
 | CL F3 | 21 | 505 | 530 | 33.5 | 35.1 | 0.45 | 2002-01-28 14:43:00
 | CL G3 | 21 | 505 | 535 | 32.1 | 34.1 | 0.44 | 2002-01-28 14:43:00
 | CL M3 | 21 | 545 | 552 | 30.5 | 30.9 | 0.41 | 2002-01-28 14:43:00
 | CL Z3 | 21 | 540 | 560 | 26.4 | 27.3 | 0.35 | 2002-01-28 14:43:00
 | CL M4 |  |  |  | 21.8 | 24.4 | 0.31 | 2002-01-04 13:39:00
 |  |  |  |  |  |  |  | ,