tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 160828d1339233225-if-problem-test-11-
Sheet: BETS

 |  |  |  |  | EM-Tipping 2012
Kamper | A | B
[NAME] | b | h
Russland - Tsjekkia | b | h
Nederland - Danmark | u | h
Tyskland - Portugal | u | h
Spania - Italia | h | b
Irland - Kroatia | h | b
Frankrike - England | h | b
[NAME] | h | b
Hellas - Tsjekkia | b | h
Polen-Russland | b | h
Danmark - Portugal | b | h
Nederland- Tyskland | b | b
Italia - Kroatia | u | b
Spania - Irland | b | b
Ukraina - Frankriket | u | b
Sverige - England | h | u
Tsjekkia - Polen | b | u
Hellas - Russland | h | u
Danmark - Tyskland | u | u
Portugal - Nederland | h | h
Italia - Irland | b | u
Kroatia - Spania | u | h
England - Ukraina | u | u
Sverige - Frankriket | b | b
Quarterfinale team 1 | Germany | Spain
Quarterfinale team 2 | Spain | Poland
Quarterfinale team 3 | Poland | Ukraine
Quarterfinale team 4 | Sweden | Denmark
Quarterfinale team 5 | Holland | Spain
Quarterfinale team 6 | Portugal | Ireland
Quarterfinale team 7 | Russia | Croatia
Quarterfinale team 8 | Italy | England
Semifinale team 1 | Spain | Croatia
Semifinale team 2 | Russia | Denmark
Semifinale team 3 | Holland | Poland
Semifinale team 4 | England | Spain
Final team 1 | England | Spain
Final team 2 | Holland | Denmark
Winner Finale | England | Spain
Spreadsheet: 02f56ded-c5b4-4c7a-9d04-e7700f19b13f
Sheet: LIHTC Calculation

CALCULATION OF TAX CREDIT
 | Project Name:
 | Date:
Tax credits are calculated on an annual basis. The total tax credit receive is equal to 10 times the annual credit
 |  |  | Yes | No
Qualified Census Tract (QCT) or Difficult to Develop Area (DDA) ?
 | Enter QCT number
 | Enter DDA area
Indicate whether your project is qualified for:
30% Net Present Value |  | (Place X under "Yes" if applicable)
70% Net Present Value |  | (Place X under "Yes" if applicable)
Both 30% & 70% |  | (Place X under "Yes" if applicable)
 |  |  | 0.3 | 0.7 | Total
Total Project Costs |  | Use applicable column (30%, 70% or both) for data entry
 | Less land; amortized and other ineligible costs *
Eligible Basis
 | Less portion of federal grant used to finance qualifying developments
 | Less amounts of nonqualified nonrecourse financing
 | Less nonqualifying costs or units of higher quality
 | Less Section 48 Rehabilitation Tax Credit
 | Less Historic Tax Credit (Rresidential Portion Only)
Total Eligible Basis
 | (Change to 130% if high cost or qualified census tract) |  | 1 | 1
Adjusted Eligible Basis
 | Multiplied by the applicable fraction |  | 1 | 1
Total Qualified Basis
 | Multiplied by the applicable percentage       (Month/Year used?   0/0)
Total Amount Of Tax Credit Allowable
Total Amount Of Tax Credit Requested
Total Tax Credits for 10 Years
Tax Credit Yield
Tax Credit Equity
 | Percentage of Limited Partnership proceeds
Net Tax Credit Investor Proceeds
* If total ineligible costs does not equal total costs less reasonable basis from Uses of Funding form, explain here.
Spreadsheet: daren_farmer__5737__HPLN0223
Sheet: Sheet1

HPLN0223.XLS |  | Fax # [PHONE]
TO:  DARREN FARMER / ENRON;  CARY METZ / ENRON;  [NAME] / HPL;  LIZ BELLAMY / ENRON
FROM:  MELISSA JONES - TXU ELECTRIC & GAS  (TU ELECTRIC)
SUBJECT:  TXU FUELS NOMINATION - February 23, 2001
 |  |  |  |  |  | **Friday
HPL AND ENRON NOMINATIONS: |  |  |  |  |  | 2001-02-23 00:00:00
 |  |  |  |  |  | Eff. 0900 hrs.
 |  |  |  |  | PRIOR | NOMINATED
CONTRACT |  | DELIVERY POINT |  | Upstream
 |  | Firm Summary
 |  | Enron North America Spot/3959
OTHER ENRON/HPL TRANSPORTS: |  |  |  | Downstream
 |  | Total Other Transports:
NOTE:  Additional swing volumes may be requested at Teco Tap, or Texoma by TUFCO Gas Control under either the
Wagner Brown K# 1901 or HPL K# 3949 agreements.
*  Nominations to continue until TU Electric changes such nominations.
CC:   [NAME] | [NAME]
R. Skerik | [NAME]
G. Green | K. English
B. Fleming | GCC Dispatcher
Spreadsheet: 705581d1606205665-employee-monthly-salary-increased-on-their-anniversary-date-accounting
Sheet: Travel Budget

 | Budget Template
 | Department:
 | Travel Expenses
 | Instructions - Please update this tab for expected travel for ALL your department team members for the year, including customer visits, prospect visits, conferences, training, office visits (excluding All-Hands Meetings), etc. If you expect the team to have other travel related expenses that are otherwise not listed, please update Column B for that travel expense.
 | Guideline
 | Average Airfare (Per Trip) | 600
 | Average Transportation (Per Trip) | 200
 | Average Hotel (Per Day) | 250
 | Average Meals (Per Day) | 75
 | AIRFARE
 | Reason for the travel? |  |  |  |  |  |  |  |  |  |  |  |  |  | Total Year
 | Customer Visits
 | Prospect Visits
 | Office Visits
 | Conferences
 | Trainings
 | Etc.
 | Etc.
 | Total Airfare Cost
 | TRANSPORTATION
 | Reason for the travel? |  |  |  |  |  |  |  |  |  |  |  |  |  | Total Year
 | Customer Visits
 | Prospect Visits
 | Office Visits
 | Conferences
 | Trainings
 | Etc.
 | Etc.
 | Total Transportation Cost
 | HOTEL
 | Reason for the travel? |  |  |  |  |  |  |  |  |  |  |  |  |  | Total Year
 | Customer Visits
 | Prospect Visits
 | Office Visits
 | Conferences
 | Trainings
 | Etc.
 | Etc.
 | Total Hotel Cost
 | MEALS
 | Reason for the travel? |  |  |  |  |  |  |  |  |  |  |  |  |  | Total Year
 | Customer Visits
 | Prospect Visits
 | Office Visits
 | Conferences
 | Trainings
 | Etc.
 | Etc.
 | Total Meals Cost
 | OTHER
 | Reason for the travel? |  |  |  |  |  |  |  |  |  |  |  |  |  | Total Year
 | Customer Visits
 | Prospect Visits
 | Office Visits
 | Conferences
 | Trainings
 | Etc.
 | Etc.
 | Total Other Travel Costs
Spreadsheet: 801972d1666530158-search-formula-based-on-cell-value-colourexample
Sheet: Sheet1

Product Name | Needs to return value from list when A2 etc matches |  | List
Dress with red details | Red |  | Colour
[NAME] | Gold |  | Red
Red Jumper | Red |  | Gold
Blue Jumper |  |  | Red
Black Trousers |  |  | Blue
Dress with Red detail |  |  | Black
Orange Jumpsuits |  |  | Red
Yellow Jumpsuit
[NAME]
Top Red
Trousers Black
Orange Jumpsuits
Yellow Jumpsuit
[NAME]
Top Red
Trousers Black
Spreadsheet: 142209d1329735743-pivot-table-formula-testfile
Sheet: DataBase

Purpose | Type
Sales call | Marketing Gifts
Account Query
Proposal
Presentation | Product Quality
Sales call | Meet & Greet
Account Query
Sales call | Product Quality
Sales call | Marketing Gifts
Proposal
Presentation
Sales call | Meet & Greet
Sales call | Product Quality
Sales call | Meet & Greet
Sales call | Product Quality
Spreadsheet: 289410d1389567116-need-to-structure-my-data-properly-but-out-of-ideas-data-set-example
Sheet: Sheet4

Date | Region | Team | Person | Sum of Sales | Sum of Commission | Sum of Revenue
2010-01-01 00:00:00 | London | Sales A | A | 49 | 0.05 | 2.45
 |  |  | B | 61 | 0.03 | 1.83
 |  | Sales A Total |  | 110 | 0.08 | 4.28
 | London Total |  |  | 110 | 0.08 | 4.28
Jan-10 Total |  |  |  | 110 | 0.08 | 4.28
2010-02-01 00:00:00 | London | Sales A | A | 1 | 0.03 | 0.03
 |  |  | B | 24 | 0.08 | 1.92
 |  | Sales A Total |  | 25 | 0.11 | 1.95
 | London Total |  |  | 25 | 0.11 | 1.95
Feb-10 Total |  |  |  | 25 | 0.11 | 1.95
2010-03-01 00:00:00 | London | Sales A | A | 9 | 0.05 | 0.45
 |  |  | B | 65 | 0.04 | 2.6
 |  | Sales A Total |  | 74 | 0.09 | 3.05
 | London Total |  |  | 74 | 0.09 | 3.05
Mar-10 Total |  |  |  | 74 | 0.09 | 3.05
2010-04-01 00:00:00 | London | Sales A | A | 49 | 0.1 | 4.9
 |  |  | B | 78 | 0.02 | 1.56
 |  | Sales A Total |  | 127 | 0.12 | 6.460000000000001
 | London Total |  |  | 127 | 0.12 | 6.460000000000001
Apr-10 Total |  |  |  | 127 | 0.12 | 6.460000000000001
2010-05-01 00:00:00 | London | Sales A | A |  |  | 0
 |  |  | B |  |  | 0
 |  | Sales A Total |  |  |  | 0
 | London Total |  |  |  |  | 0
May-10 Total |  |  |  |  |  | 0
2010-06-01 00:00:00 | London | Sales A | A | 93 | 0 | 0
 |  |  | B | 10 | 0.07 | 0.7000000000000001
 |  | Sales A Total |  | 103 | 0.07 | 0.7000000000000001
 | London Total |  |  | 103 | 0.07 | 0.7000000000000001
Jun-10 Total |  |  |  | 103 | 0.07 | 0.7000000000000001
2010-07-01 00:00:00 | London | Sales A | A | 11 | 0 | 0
 |  |  | B | 94 | 0.05 | 4.7
 |  | Sales A Total |  | 105 | 0.05 | 4.7
 | London Total |  |  | 105 | 0.05 | 4.7
Jul-10 Total |  |  |  | 105 | 0.05 | 4.7
2010-08-01 00:00:00 | London | Sales A | A | 59 | 0.01 | 0.59
 |  |  | B | 74 | 0.06 | 4.44
 |  | Sales A Total |  | 133 | 0.06999999999999999 | 5.029999999999999
 | London Total |  |  | 133 | 0.06999999999999999 | 5.029999999999999
Aug-10 Total |  |  |  | 133 | 0.06999999999999999 | 5.029999999999999
2010-09-01 00:00:00 | London | Sales A | A | 14 | 0.09 | 1.26
 |  |  | B | 66 | 0.05 | 3.3
 |  | Sales A Total |  | 80 | 0.14 | 4.56
 | London Total |  |  | 80 | 0.14 | 4.56
Sep-10 Total |  |  |  | 80 | 0.14 | 4.56
2010-10-01 00:00:00 | London | Sales A | A | 20 | 0.08 | 1.6
 |  |  | B | 3 | 0.01 | 0.03
 |  | Sales A Total |  | 23 | 0.09 | 1.63
 | London Total |  |  | 23 | 0.09 | 1.63
Oct-10 Total |  |  |  | 23 | 0.09 | 1.63
2010-11-01 00:00:00 | London | Sales A | A | 15 | 0.02 | 0.3
 |  |  | B | 47 | 0 | 0
 |  | Sales A Total |  | 62 | 0.02 | 0.3
 | London Total |  |  | 62 | 0.02 | 0.3
Nov-10 Total |  |  |  | 62 | 0.02 | 0.3
2010-12-01 00:00:00 | London | Sales A | A | 59 | 0.04 | 2.36
 |  |  | B | 18 | 0.01 | 0.18
 |  | Sales A Total |  | 77 | 0.05 | 2.54
 | London Total |  |  | 77 | 0.05 | 2.54
Dec-10 Total |  |  |  | 77 | 0.05 | 2.54
Grand Total |  |  |  | 919 | 0.8900000000000001 | 35.2
Spreadsheet: 41050d1239502480-lookup-formula-not-returning-correct-answer-boston
Sheet: Overview

East | W | L | PCT | vs E | vs C | vs W | INT | HOME | ROAD | Total
Boston
 |  |  |  |  | Home | Road | Total | PCT
 |  |  | Boston vs. | Detroit
Spreadsheet: 130615d1322491367-formula-too-long-too-many-sheet-names-dummy-ot-more-than-1-code-v3
Sheet: P1-Jan 1 to Jan 10

 |  | Pay Period 1 January 1, 2012 to January 10, 2012
 |  | OT Straight Time | OT  Other | OT  Acting Captain | OT  Acting P/C | Stat Holiday | Acting Captain | Acting  P/C | STAT Acting Captain | STAT Acting P/C | Fire Calls | Meetings | TAPP C | Replace WSIB | Replace Bereavement | Replace Sick | Replace Manpower | Replace Parental Leave | Replace Long Term Disability | Replace Education | Replace Suspension | Replace Long Term Sick | Time Owing (P/C Only) | OT Tech - Auto Extrication | OT Tech - HAZMAT | OT Tech - Rope | OT Tech - MSA | OT Tech - Other, Not Listed | OT A/C Tech - Auto Extrication | OT A/C Tech - HAZMAT | OT A/C Tech - Rope | OT A/C Tech - MSA | OT A/C Tech - Other, Not Listed
 |  | ST | OTH | OTAC | OTAPC | STAT | AC | APC | ACST | APCST | FC | MT | TAP | WSIB | B | S | M | PL | LTD | ED | SUSP | LTS | TO | AT | HT | RT | MSAT | OTT | ACAT | ACHT | ACRT | ACMSAT | ACOTT
EMP# | Employee 1 | 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
EMP# | Employee 2 | 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
EMP# | Employee 3 | 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
EMP# | Employee 4 | 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
EMP# | Employee 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
EMP# | Employee 6 | 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
EMP# | Employee 7 | 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
EMP# | Employee 8 | 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
EMP# | Employee 9 | 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
Totals |  | 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: fe4d80f8-2258-440b-a23f-763d1df84eb9
Sheet: Plan1

[NAME] values
 | PR |  |  |  | CI-Light |  |  |  | CI-Mod |  |  |  | CI-Heavy
 | IgG1 | IgG3 | IgG4 | IgE | IgG1 | IgG3 | IgG4 | IgE | IgG1 | IgG3 | IgG4 | IgE | IgG1 | IgG3 | IgG4 | IgE
IgG1 | x | 0.4639 | 0.3446 | 0.3149 | x | 0.4529 | 0.1469 | 0.2371 | x | 0.4819 | 0.3132 | 0.2801 | x | 0.5181 | 0.4131 | 0.3263
IgG3 |  | x | 0.7268 | 0.7037 |  | x | 0.7502 | 0.7355 |  | x | 0.7937 | 0.7707 |  | x | 0.8359 | 0.7522
IgG4 |  |  | x | 0.8385 |  |  | x | 0.8684 |  |  | x | 0.9044 |  |  | x | 0.7897
Spreadsheet: 477621d1472416500-flash-fill-question-extracting-middle-name-flash-fill-example
Sheet: Sheet1

[NAME] | Mark | [NAME]
[NAME] | [NAME] | Colman
[NAME] | [NAME] | Bains
[NAME] | Fred | [NAME]
[NAME] | [NAME] | Wehr
[NAME] | Mitch | Nicholls
[NAME] | [NAME] | McCaslin
[NAME] | Ned | Poulakis
[NAME] | [NAME] | Wingfield
[NAME] | [NAME] | Gans
[NAME] | [NAME] | [NAME]
[NAME] | Julia | [NAME]
[NAME] | [NAME] | Light
[NAME] | Ray | Walker
[NAME] | [NAME] | [NAME]
[NAME] | [NAME] | Fist
Spreadsheet: 128851d1321306846-formula-to-calculate-break-times-based-on-start-and-end-times-break-schedule-sample-
Sheet: Swing

Break Schedule
Cashier | Time-In | 1st Break (40 Mins) | 2nd Break (20 Mins) | Time-Out | Unavailable Start | Unavailable End
Employee #01 | 07:00:00 |  |  | 15:00:00 | 10:00:00 | 10:30:00
Employee #02 | 07:30:00 |  |  | 15:30:00
Employee #03 | 09:00:00 |  |  | 17:00:00 | 14:00:00 | 15:30:00
Employee #04 | 09:30:00 |  |  | 17:30:00
Employee #05 | 11:30:00 |  |  | 19:30:00
Employee #06 | 14:30:00
Employee #07 | 15:00:00
Employee #08 | 16:30:00
Employee #09 | 17:00:00
Employee #10 | 19:00:00
Employee #11 | 22:00:00
Employee #12 | 23:00:00
Employee #13 | 12:00:00
Spreadsheet: 176706d1346078057-indexing-with-duplicates-issue-copy-of-department-position-status-working-file-2
Sheet: Compliance

Compliance
 | Filled Positions |  |  |  |  |  |  |  |  |  |  |  | Open Positions
 | Title | Location | Category | Hiring Manager | Number of Openings | Number Filled | Date Activated | Date Filled | Start Date | Business Days to Offer | Comments |  |  | Title | Location | Category | Hiring Manager | Created Date | Age | Comments
Spreadsheet: 761858d1641264785-how-can-i-create-a-formula-to-give-a-weekday-date-tester-afcr-02
Sheet: Sheet1

LCS No | Carers Names | Last Year's  Review Date | This Year's Review Date | Actual Date of This Year's Review | Next Year's Review Date
370802 | TESTER 2 | 2020-04-22 00:00:00 |  | TBC
3708 | TESTER 3 | 2020-04-25 00:00:00 |  | 2021-04-22 00:00:00
70837 | TESTER 7 | 2020-05-05 00:00:00 |  | 2021-05-04 00:00:00
37702 | TESTER 8 | First Review |  | 2021-05-06 00:00:00
48508 | TESTER 9 | 2020-05-07 00:00:00 |  | 2021-09-16 00:00:00
808608 | TESTER 16 | First Review |  | 2021-09-01 00:00:00
697437 | TESTER 19 | 2020-06-08 00:00:00 |  | TBC
Spreadsheet: 327826d1403699441-search-a-list-for-two-key-words-in-two-columns-and-if-true-return-value-of-a-third-column-example
Sheet: Raw Data

Supplier | [NAME] | Supplier | ID Code | ID Name | ID | Status | Code | Doc Group
 |  |  | 25 |  |  | missing |  | paper
 |  |  | 26 |  |  | ok |  | electronic
 |  |  | 85 |  |  | approved |  | paper
 |  |  | 98 |  |  | missing |  | electronic
 |  |  | 75 |  |  | missing |  | paper
Spreadsheet: 172909fb-bf08-42ea-9c8a-c275f0289967
Sheet: Ethnicity - Fall No Data

Return to Contents
Ethnicity - No Data
 |  |  |  | UH | UH COMMUNITY COLLEGES
 |  | UH | UH | WEST
 | TOTAL | MĀNOA | HILO | O‘AHU | SUBTOTAL | Hawaii | Honolulu | Kapi‘olani | Kaua‘i | Leeward | Maui | [NAME]
1977 | 5497 | 4994 | 6 | 14 | 483 | 4 | 2 | 1 | 0 | 456 | 15 | 5
1978 | 4149 | 3813 | 0 | 2 | 334 | 1 | 0 | 0 | 2 | 326 | 4 | 1
1979 | 3347 | 3040 | 5 | 44 | 258 | 3 | 2 | 0 | 0 | 248 | 3 | 2
1980 | 2506 | 2473 | 6 | 0 | 27 | 0 | 3 | 1 | 1 | 8 | 0 | 14
1981 | 1261 | 1181 | 5 | 7 | 68 | 1 | 1 | 11 | 0 | 10 | 3 | 42
1982 | 650 | 620 | 3 | 2 | 25 | 1 | 2 | 8 | 0 | 12 | 1 | 1
1983 | 391 | 382 | 2 | 0 | 7 | 0 | 0 | 3 | 0 | 0 | 2 | 2
1984 | 269 | 246 | 0 | 1 | 22 | 0 | 3 | 0 | 0 | 0 | 18 | 1
1985 | 223 | 206 | 0 | 0 | 17 | 1 | 0 | 2 | 0 | 0 | 13 | 1
1986 | 181 | 164 | 0 | 0 | 17 | 0 | 1 | 2 | 0 | 9 | 0 | 5
1987 | 410 | 393 | 0 | 0 | 17 | 0 | 11 | 0 | 0 | 4 | 1 | 1
1988 | 501 | 467 | 1 | 1 | 32 | 0 | 28 | 1 | 0 | 3 | 0 | 0
1989 | 596 | 474 | 0 | 1 | 121 | 0 | 19 | 12 | 1 | 4 | 68 | 17
1990 | 527 | 494 | 0 | 2 | 31 | 0 | 2 | 23 | 0 | 2 | 1 | 3
1991 | 640 | 590 | 0 | 3 | 47 | 0 | 2 | 1 | 0 | 0 | 42 | 2
1992 | 895 | 706 | 0 | 5 | 184 | 79 | 35 | 1 | 0 | 42 | 3 | 24
1993 | 866 | 710 | 0 | 0 | 156 | 152 | 0 | 2 | 0 | 2 | 0 | 0
1994 | 938 | 742 | 0 | 0 | 196 | 193 | 1 | 0 | 0 | 2 | 0 | 0
1995 | 763 | 593 | 0 | 0 | 170 | 166 | 2 | 0 | 0 | 0 | 2 | 0
Note: Data may not match [NAME] reports due to changes in enrollment counting methodology.
Spreadsheet: mary_fischer__25616__34L
Sheet: E1.XLS 

ENRON CORP AND CONSOLIDATED SUBSIDIARIES
COMPANY # 034L
COMPANY NAME   Enron EES Acquisition
ANALYSIS OF A/R - OTHER
FOR THE 3 MONTHS ENDED 6-30-2001
PREPARED BY: [NAME]
EXTENSION: 52580 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | E-1
 |  | 12-31-2000 Balance
 |  | BEGINNING |  | OTHER |  | 03-31-2001 |  | OTHER |  | 06-30-2001 |  | OTHER |  | 09-30-2001 |  | OTHER |  | 12-31-2001
[NAME] |  | BALANCE |  | CHANGES |  | BALANCE |  | CHANGES |  | BALANCE |  | CHANGES |  | BALANCE |  | CHANGES |  | BALANCE
 |  | DR. (CR.) |  | DR. (CR.) |  | DR. (CR.) |  | DR. (CR.) |  | DR. (CR.) |  | DR. (CR.) |  | DR. (CR.) |  | DR. (CR.) |  | DR. (CR.)
(PROVIDE DETAIL OF INDIVDUAL ITEMS
IN EXCESS OF $200,000.)
Accts Receivables - Unconsolidated Assoc Companies:
Total (Hyperion line 0053)
Asset/Expense Accts:  DR/(CR)
Accts Receivables - Other:
Total (Hyperion line 0060)
Asset/Expense Accts:  DR/(CR)
Asset/Expense Accts:  DR/(CR)
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | E-1
Spreadsheet: 01b51d9f-dd39-4ba0-8004-a624752f6cb0
Sheet: +40 WD

BWF World Senior Championships 2013
WD 40
Badminton Tournament Planner - bwf.tournamentsoftware.com
 | Member ID | St. | Cnty | Flag | Round 1 | Round 2 | Quarterfinals | Semifinals | Final | Winner
 | 2781 |  | ENG |  | [NAME] [1]
1 | 381 |  | ENG |  | [NAME] ~
2 |  |  |  |  | Bye 1
 | 794 |  | HUN |  | Csilla Gondane Forian
3 | 85973 |  | NOR |  | Kristin Thomt
 | 97292 |  | IND |  | [NAME]
4 | 92818 |  | IND |  | [NAME]
 | 84884 |  | JPN |  | [NAME]
5 | 747 |  | JPN |  | [NAME]
6 |  |  |  |  | Bye 5
 | 94221 |  | FRA |  | [NAME]
7 | 58869 |  | FRA |  | [NAME]
 | 67400 |  | DEN |  | [NAME]
8 | 68984 |  | DEN |  | [NAME]
 | 78380 |  | JPN |  | [NAME] [3/4]
9 | 63956 |  | JPN |  | [NAME]
10 |  |  |  |  | Bye 3
 | 7456 |  | TUR |  | [NAME]
11 | 7457 |  | TUR |  | Elif Yoruker
 | 80970 |  | ENG |  | [NAME]
12 | 90784 |  | ENG |  | [NAME]
 | 94752 |  | RUS |  | [NAME]
13 | 97781 |  | RUS |  | [NAME]
14 |  |  |  |  | Bye 7
 | 78143 |  | IND |  | [NAME]
15 | 62938 |  | IND |  | [NAME]
 | 74539 |  | FRA |  | [NAME]
16 | 98602 |  | FRA |  | [NAME]
 | 63147 |  | TUR |  | [NAME]
17 | 74771 |  | TUR |  | Serpil Sarper
 | 89522 |  | GER |  | [NAME]
18 | 6889 |  | GER |  | Heike Voigt
19 |  |  |  |  | Bye 8
 | 91937 |  | IND |  | [NAME]
20 | 58960 |  | IND |  | Savita Patwardhan
 | 71747 |  | SWE |  | Ulla Jark
21 | 83863 |  | SWE |  | Marina Karstrom
 | 66958 |  | FRA |  | [NAME]
22 | 90401 |  | FRA |  | Therese Jerome
23 |  |  |  |  | Bye 4
 | 88356 |  | DEN |  | [NAME] [3/4]
24 | 2761 |  | DEN |  | [NAME]
 | 83239 |  | IND |  | Supriya Devgun
25 | 75661 |  | IND |  | [NAME]
 | 64638 |  | ENG |  | [NAME]
26 | 57857 |  | GER |  | Cornelia Ern-Joachim
27 |  |  |  |  | Bye 6
 | 68916 |  | JPN |  | Mie Hanyu
28 | 74392 |  | JPN |  | [NAME]
 | 7627 |  | GER |  | [NAME]
29 | 52794 |  | BUL |  | [NAME]
 | 62672 |  | TUR |  | [NAME]
30 | 93064 |  | TUR |  | [NAME]
31 |  |  |  |  | Bye 2
 | 960 |  | ENG |  | [NAME] [2]
32 | 963 |  | ENG |  | [NAME]
Spreadsheet: 781786d1653550240-need-formula-to-count-table-range-depending-on-conditions-in-selected-table-columns-hit-miss-aligw
Sheet: Fighter1

Summary
Style | Won:Lost | Number Of Hits | Number Of Misses | Basic Defense
Aggressive
Defensive
Accurate
Balanced
 |  |  |  | Hit points:
Date | Result | Style | Attack Defense | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13
May 14, 2022 2:00am | Lost | Aggressive | Attack | 140 | 100 | 113 | 81 | 99 | 106 | MISS | 146
 |  |  | Defence | -144 | -180 | MISS | -116 | -185 | -151 | -181 | -147
May 13, 2022 10:30pm | Lost | Defensive | Attack | 177 | 85 | 141 | 137 | 138 | 47 | 182
 |  |  | Defence | -66 | -293 | -89 | -286 | MISS | MISS | -110
May 13, 2022 6:30pm | Lost | Accurate | Attack | 118 | 88 | MISS | 143 | 83 | 178 | 127 | MISS | 90 | 60 | 107
 |  |  | Defence | -124 | -99 | -142 | -58 | -110 | -106 | -85 | -11 | -187 | MISS | -107
May 13, 2022 6:30pm | Won | Aggressive | Attack | 121 | 144 | 198 | 85 | 114 | 107 | 31 | 182 | 98
 |  |  | Defence | -71 | MISS | -99 | -129 | -100 | -73 | MISS | -230
Spreadsheet: 889877d1740867843-determine-ranges-from-another-cell-example-workbook-rob-goins_3
Sheet: Sheet1

 |  | [NAME] | 2025-01-31 00:00:00 |  | Range | Difference |  | 2025-02-07 00:00:00 |  | Range | Difference |  | 2025-02-14 00:00:00 |  | Range | Difference
 |  | 5 - 60 | 36 | U/L |  |  |  | 35 | U/L |  |  |  | 27 | U/L
 |  | 12 - 47 | 50 | UL(H) |  |  |  | 39 | U/L |  |  |  | 27 | U/L
 |  | 1.0 - 2.5 | 1.1 |  |  |  |  | 1.3 |  |  |  |  | 1.4
 |  | 3.4 - 4.9 | 4.1 | g/dL |  |  |  | 3.9 | g/dL |  |  |  | 3.8 | g/dL
 |  | 40 - 140 | 96 | IU/L |  |  |  | 76 | IU/L |  |  |  | 74 | IU/L
 |  | 4 - 16 | 8 |  |  |  |  | 9 |  |  |  |  | 9
 |  | 8 - 25 | 9 | mg/dl |  |  |  | 12 | mg/dl |  |  |  | 12 | mg/dl
 |  | 10 - 28 | 13 |  |  |  |  | 19 |  |  |  |  | 18
 |  | 0.2 - 1.3 | 0.3 | mg/dl |  |  |  | 0.04 | mg/dl |  |  |  | 0.4 | mg/dl
 |  | 19 - 31 | 28 | mmol/L |  |  |  | 27 | mmol/L |  |  |  | 26 | mmol/L
 |  | 8.8 - 10.4 | 9.3 | mg/dl |  |  |  | 9.1 | mg/dl |  |  |  | 8.9 | mg/dl
 |  | 95 - 108 | 104 | mmol/L |  |  |  | 100 | mmol/L |  |  |  | 103 | mmol/L
 |  | 0.68 - 1.37 | 0.72 | mg/dl |  |  |  | 0.62 | mg/dl |  |  |  | 0.67 | mg/dl
 |  | 70 - 115 | 108 | mg/dl |  |  |  | 100 | mg/dl |  |  |  | 99 | mg/dl
 |  | 1.5 - 2.5 | 2.2 | mg/dl |  |  |  | 1.9 | mg/dl |  |  |  | 1.8 | mg/dl
 |  | 3.6 - 5.3 | 3.9 | mmol/L |  |  |  | 4.2 | mmol/L |  |  |  | 3.9 | mmol/L
 |  | 6.0 - 8.0 | 7.8 | g/dL |  |  |  | 6.9 | g/dL |  |  |  | 6.6 | g/dL
 |  | 134 - 147 | 140 | mmol/L |  |  |  | 136 | mmol/L |  |  |  | 138 | mmol/L
 |  | >=1 | 140 |  |  |  |  | 136 |  |  |  |  | 138
 |  | >=60 | 105 | ml/min/1.73 m2 |  |  |  | 109 | ml/min/1.73 m2 |  |  |  | 107 | ml/min/1.73 m2