tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 550958d1512635226-hyperlink-in-excel-work-pdf-no-hyperlink-attached-copy-of-addendum-copy_workaround-for-helmut
Sheet: tom

TEST URL USED | URL part 1 | URL part 2 |  |  |  |  |  |  | HTML Test Environment URL = | http://euddsaservlayq1.eu.eur.daikintranet/lot21/api/v1/datasheet/html?products=EWAD380TZ-SS+B2&locale=en_US
 | http://euddsaservlayq1.eu.eur.daikintranet/lot21/api/v1/datasheet/pdf?products= | &locale= |  |  |  |  |  |  | PDF Test Environment URL = | [NAME]
 | Click Here | Klik hier | [NAME] | [NAME] | [NAME] |  |  |  | HTML Live Environment URL = | https://energylabel.daikin.eu/eu/en_US/lot21/jcr:content/services.json/datasheet/html?products=RXYSQ6T8VB&locale=en_US
Oudoor Unit | en_US | nl_BE | fr_BE | fr_FR | de_DE |  |  |  | PDF Live Environment URL = | [NAME]
EWAD380TZ-SS+B2
EWAD360TZ-SS+B1
EWAD380TZSSB2
EWAD380TZSSB2 |  |  |  |  |  |  |  |  | To check
 |  |  |  |  |  |  |  |  | * Locales in MDM for the different languages => receive the list
 |  |  |  |  |  |  |  |  | * Naming of products in MDM => How is the logic/Which ones to use
 |  |  |  |  |  |  |  |  | * How to guaruantee all products are included? Start from the original drawing? What products are in scope?
 |  |  |  |  |  |  |  |  | * In the live URL => do we need to add 2 times the Locale (in URL build itself and after "locale="?) => unclear
LIVE URL USED |  |  |  |  |  |  |  |  | * How is the final URL being built up in terms of languages
NOTE CHECK the BUILD of the URL |  |  |  |  |  |  |  |  | * We need to link to the PDF version of the LOT 21 tables
 |  |  |  |  |  |  |  |  | * We need to evaluate whether we go for 1 addendum for all products/1 addendum for e.g. VRV - Sky Air and Chillers/ 1 addendum per product range
 | https://energylabel.daikin.eu/eu/ | /lot21/jcr:content/services.json/datasheet/pdf?products= | &locale= |  |  |  |  |  | List other open topics if needed
 | Click Here | Klik hier | [NAME] | [NAME] | [NAME]
Oudoor Unit | en_US | nl_BE | fr_BE | fr_FR | de_DE
EWAD380TZ-SS+B2
EWAD360TZ-SS+B1
Spreadsheet: 234797d1368192815-using-a-drop-down-to-pull-data-from-another-sheet-drop-down-for-sheet-name-v2
Sheet: Hawthorn Store

 |  |  |  |  |  | Month 1 | Month 2 | Month 3 | Month 4 | Month 5 | Month 6 | 6 Month Totals
 |  |  | Total sum of Cookies sent to [NAME] |  |  | 356 | 951 | 356 | 485 | 657 | 250
 |  |  | Total sum of Cookies not sold |  |  | 15 | 60 | 14 | 12 | 28 | 5
 |  |  | Percent of cookies not sold |  |  | 0.02027027027027027 | 0.00964630225080386 | 0.03095238095238095 | 0.02232142857142857 | 0.02415458937198068 | 0.03036876355748373
Spreadsheet: 114494d1310205181-excel-2007-dependent-chart-series-783520
Sheet: $LocationCache$

5 | status | origin | destination | mode | distance | duration
paris|lyon|driving | OK | Paris | Lyon | driving | 465631 | 18490
81st museum of natural history new york|the pool, central park new york|walking | OK | 81st Museum of Natural History New York | The Pool, Central Park New York | walking | 10006 | 7429
81st museum of natural history new york|the pool, central park new york|bicycling | OK | 81st Museum of Natural History New York | The Pool, Central Park New York | bicycling | 12443 | 2462
81st museum of natural history new york|the pool, central park new york|driving | OK | 81st Museum of Natural History New York | The Pool, Central Park New York | driving | 11231 | 1278
Spreadsheet: 547925d8-7d0c-48cc-b075-b697f2a272e9
Sheet: Complete training set

Species | Sequence | Gene
dm3 | chr2R:10687371-10689097 | kn
dp3 | chr3:4890092-4891815 | kn
droAna3 | scaffold_13266:8936439-8938340 | kn
dm3 | chr3L:296162-297682 | RhoGEF3
droYak2 | chr3L:275173-276661 | RhoGEF3
dm3 | chr2R:10320503-10321954 | phyl
droPer1 | super_2:4548675-4550019 | phyl
droSim1 | chr2R:9084591-9085867 | phyl
droAna3 | scaffold_13266:14660766-14662116 | phyl
droYak2 | chr2R:10253749-10255156 | phyl
dm3 | chr2R:1597060-1597739 | ap
droMoj2 | scaffold_6496:2574269-2575093 | ap
dm3 | chr3R:5635537-5636934 | FBX011
droAna3 | scaffold_13340:6200034-6201416 | FBX011
droYak2 | chr3R:9682298-9683706 | FBX011
dm3 | chr2R:8430420-8432487 | fra
droAna3 | scaffold_13266:13030384-13032054 | fra
dm3 | chrX:4000317-4001633 | cib
droYak2 | chrX:4427366-4428689 | cib
dm3 | chr2L:19036996-19037741 | mib2
dm3 | chr2R:6203141-6203782 | Ndg
droPer1 | super_2:7440164-7440996 | Ndg
droAna3 | scaffold_13266:4666150-4666940 | Ndg
dm3 | chrX:299238-300619 | l'sc
droSim1 | chrX:211846-212884 | l'sc
droAna3 | scaffold_13117:5016931-5018949 | l'sc
dm3 | chr3R:17251859-17253222 | lbl
droPer1 | super_0:9788882-9790359 | lbl
droAna3 | scaffold_13340:17594632-17595649 | lbl
dm3 | chr2R:12671876-12673017 | CG5522
droYak2 | chr2R:16304464-16305515 | CG5522
dm3 | chrX:9562001-9563224 | nej
droAna3 | scaffold_13248:1364354-1365926 | nej
droYak2 | chrX:18152737-18153983 | nej
dm3 | chr2R:5872789-5873099 | eve
droPer1 | super_4:6221235-6221557 | eve
dm3 | chr3L:311834-313023 | fwd
droYak2 | chr3L:291116-292308 | fwd
dm3 | chr3R:10420007-10421561 | stumps
dp3 | chr2:14174644-14176472 | stumps
Spreadsheet: 774565d1648547187-pulling-budget-data-into-summary-sheet-donottouch
Sheet: Accounts

Home
Location:
Mgt Accounts for: | 2022-01-01 00:00:00
 |  | Current Month |  |  |  |  | Current Year-To-Date
Summary P&L
 |  | Actual £ | Budget £ | Variance £ |  |  | Actual £ | Budget £ | Variance £
No of Days in Period
Registered Beds |  | 59 |  |  |  |  | 59
Average Occupancy |  | #N/A |  |  |  |  | #N/A
Average Occupancy %
Average Fee Rate / Week
Turnover
Fee Income
Other Income
Turnover Total
Direct Costs
Provisions (Food)
Medical Supplies
Disposable Items
Consumables (Cleaning)
Waste Disposal
Bedding & Linen
Utensils/Crockery
Equipment Maintenance
Residents Activities
Direct Cost Total
Operating Expenses
Payroll
Agency
Recruitment
1:1 Care - Agency Costs
Training Fees
Training time
Uniforms
Team Recognition
Operating Expenses Total
Gross Profit
Home Overheads
Council Tax
Water Rates
Electricity
Gas
Insurance
Telephone/FAX
Printing/Stationery/Postage
Property Mtce
Garden & Grounds Mtce
Registration Fees
Audit & Acctcy Fees
Legal & Consultancy
Travel Expenses & Accommodation
Bed Filler Fees
Advertising/Sales Promotions
Bank Charges
Bad Debt W/O
Home Overheads Total
EBITDAR
Head Office Costs
Profit After HO Costs
Central Costs
Interest
Depreciation
Rent
Refurbishment & Renewals
Exceptional Items
Central Costs Total
Pre-tax Profit
Spreadsheet: 165487d1341246984-excel-2007-formulas-to-find-start-end-lowest-point-dates-and-recovery-time-of-drawdowns-drawdown-dates-and-recovery-time-workdays
Sheet: DrawDown

 | 2012-01-01 00:00:00
 | Date | Price | [NAME] | Maximum                      DD |  | [NAME] |  | Maximum Draw Down
 |  | 100 |  |  |  | [NAME] : |  | Maximum DD :
 |  | 110 |  |  |  | Starting Date : |  | Starting Date :
 |  | 120 |  |  |  | Lowest Level Date : |  | Lowest Level Date :
 |  | 130 |  |  |  | Ending Date : |  | Ending Date :
 |  | 140 |  |  |  | Recovery Time (days) : |  | Recovery Time (days) :
 |  | 145
 |  | 140
 |  | 130
 |  | 120
 |  | 110
 |  | 100
 |  | 90
 |  | 80
 |  | 70
 |  | 60
 |  | 70
 |  | 80
 |  | 90
 |  | 100
 |  | 110
 |  | 120
 |  | 130
 |  | 135
 |  | 140
 |  | 140
 |  | 135
 |  | 130
 |  | 140
 |  | 150
 |  | 160
Spreadsheet: 85110d1285170593-combining-two-formulas-sample
Sheet: PSV's

 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | UNIT: | [NAME]
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | EQUIPMENT ID: | P8050012
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | P&ID: | pid
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | SIZE: |  | #N/A
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | TYPE: |  | type
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | MFG: |  | mfg |  |  | P8050012
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | MODEL #: |  | MODEL
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | SERIAL #: |  | serial
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | OPER. PRESS: |  | #N/A
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | OPER. TEMP: |  | #N/A
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | GAUGE GLASSES: |  | glasses
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | CONNECTIONS NPT: |  | npt
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | CONNECTIONS LOC.: |  | loc
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | MATERIAL: |  | matl
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | RATING: |  | rating
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | GAUGE COCKS: |  | gauge cocks
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | TYPE: |  | type
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | VESSEL CONNECTION: |  | vessel connection
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | GAUGE CONNECTION: |  | gauge connection
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | DRAIN CONNECTION: |  | drain connection
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | MFR MODEL #: |  | [NAME]
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | GAUGE GLASSES: |  | glasses
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | GAUGE VISIBLE LENGTH: |  | #N/A
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Notes
[NAME] |  |  | Level Gauge |  | DATE:
P8050012 desc |  |  |  |  |  |  |  |  | WALKED BY: | [NAME]
 |  |  |  |  |  |  |  |  | SUPERVISOR: | [NAME]
#N/A
Spreadsheet: 685279d1593876940-auto-remark-text-and-color-columns-based-on-condition-misc-tracker
Sheet: MISC Claim Tracker

Branch | GCS Code | Name | Claim Type | Amount | Claim Month | Status | Remarks
Delhi | ABC1001 | Hitech | Unclaimed Calls Claim | 1000 | 2020-01-01 00:00:00
Delhi | ABC1001 | Hitech | Unclaimed Calls Claim | 1000 | 2020-01-01 00:00:00 |  | Repeat Claim
Delhi | ABC1002 | Digitrons | Courier - Courier charges incurred in providing repairs | 1000
Delhi | ABC1003 | Soumya | Courier - Courier charges incurred in providing repairs | 1200 |  |  | Claim Amount more than Approved
Spreadsheet: 881679d1729802894-combining-multiple-rows-into-one-row-based-on-criteria-excel-example
Sheet: Sheet1

 | I have data in this format. Thousands of rows. Each company has several products associated with their company. Want to combine each company into one row.
 | Group # | Group Name | Products
 | 103567 | ABC Company | Product1
 | 103567 | ABC Company | Product2
 | 103567 | ABC Company | Product4
 | 103567 | ABC Company | Product5
 | And want to make it look like this.
 |  |  |  | Product1 | Product2 | Product3 | Product4 | Product5
 | 103567 | ABC Company |  | x | x |  | x | x
 | Lookup Group # and Group Name and return the products associated to those two things in columns versus rows. Want it to show as "x" if that company has that product and blank if it doesn't.
Spreadsheet: 74845d1275398736-excel-2007-rank-players-by-name-ranks
Sheet: Ranks

 |  |  |  |  |  |  |  |  |  |  |  |  |  | Points (testing)
Player | Win | Loss | [NAME] | Win % | [NAME] | [NAME] |  |  |  | Ranks
Strassberg | 6 | 16 |  |  |  |  |  | Rank by Points | Rank by Total Wins | Rank by [NAME] |  | Rank Pts |  | Total | Win(10) | Loss(-5)
[NAME] | 22 | 13 |  |  |  |  | 1 |  |  |  |  |  | Strassberg
R2D2 | 20 | 14 |  |  |  |  | 2 |  |  |  |  |  | [NAME]
Boom Boom Powell | 18 | 17 |  |  |  |  | 3 |  |  |  |  |  | R2D2
Easy Out | 4 | 16 |  |  |  |  | 4 |  |  |  |  |  | Boom Boom Powell
[NAME] | 12 | 11 |  |  |  |  | 5 |  |  |  |  |  | Easy Out
Sexiest [NAME] | 3 | 5 |  |  |  |  | 6 |  |  |  |  |  | [NAME]
Corn | 3 | 3 |  |  |  |  | 7 |  |  |  |  |  | Sexiest [NAME]
[NAME] | 1 | 7 |  |  |  |  | 8 |  |  |  |  |  | Corn
Yo Gabby Gabby | 0 | 3 |  |  |  |  | 9 |  |  |  |  |  | [NAME]
[NAME] | 1 | 3 |  |  |  |  | 10 |  |  |  |  |  | Yo Gabby Gabby
[NAME] (retired) | 27 | 5 |  |  |  |  | 11 |  |  |  |  |  | [NAME] | 5
The Hammer | 5 | 2 |  |  |  |  | 12 |  |  |  |  |  | [NAME] (retired)
 |  |  |  |  |  |  | 13 |  |  |  |  |  | The Hammer
 |  |  |  |  |  |  | 14
 |  |  |  |  |  |  | 15
 |  |  |  |  |  |  | 16
 |  |  |  |  |  |  | 17
 |  |  |  |  |  |  | 18
 |  |  |  |  |  |  | 19
 | Red = .50 and under |  |  |  |  |  | 20
 | Yellow = between .51 and .98
 | Green = 1.0 and over
Spreadsheet: 220315d1363117543-sum-cells-from-multiple-worksheets-value-error-brand_y
Sheet: January

Date | Cost type - Description | Amount
2013-01-01 00:00:00 | [NAME] | 100
2013-01-05 00:00:00 | [NAME] | 200
2013-01-07 00:00:00 | TypeB - IJK | 50
2013-01-10 00:00:00 | TypeB - IJK | 120
2013-01-20 00:00:00 | TypeC - ASD | 600
2013-01-25 00:00:00 | [NAME] | 300
2013-01-30 00:00:00 | TypeB - IJK | 70
Spreadsheet: 167100d1341901330-filtering-one-specific-name-in-excel-2010-copy-of-morning-attendance-2-
Sheet: 23 Jan 2012

Daily Morning Staff |  |  |  |  | Monday
 | 07:30-14:30 |  | 2012-01-23 00:00:00
Name | Staff No. | Title | Time In | Out | Locations | Remarks
Naima Mohamed | 2166 | Client Ralation 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
[NAME] | 4143 | Aircraft Team Leader | 07:00:00 | 14:30:00 | EFS
Jalil Nushadi | 1889 | Driver | 05:45:00 | 14:30:00 | EFS
[NAME] | 624 | Driver | 07:30:00 | 14:30:00 | EFS
Soud Sharar | 2097 | [NAME] Officer | 07:30:00 | 14:30:00 | [NAME]
[NAME] | 1897 | Manager |  |  | EFS | Annual
[NAME] | 1861 | Duty Officer | 07:30:00 | 14:30:00 | EFS
Spreadsheet: 35719d1233324473-lookup-formula-2-criteria-in-rows-lookup-issue-1
Sheet: Sheet1

argentina | 1980 |  |  | Problem 1: data source:
argentina | 1981 |  |  | argentina | 1987 | rating1
argentina | 1982 |  |  | paraguay | 2000 | rating2
argentina | 1983 |  |  | usa | 1979 | rating3
argentina | 1984 |  |  | brazil | 1999 | rating4
argentina | 1985 |  |  | (...)
argentina | 1986
argentina | 1987 | rating1 |  | Problem 2: data source:
argentina | 1988
argentina | 1989 |  |  | argentina
brazil | 1980 |  |  | 2000 | [NAME]
brazil | 1981 |  |  | 1989 | [NAME]
brazil | 1982 |  |  | brazil
brazil | 1983 |  |  | 1979 | [NAME]
brazil | 1984 |  |  | 1980 | rating8
brazil | 1985 |  |  | 1981 | rating9
brazil | 1986 |  |  | 1982 | rating10
brazil | 1987 |  |  | 1983 | rating11
brazil | 1988 |  |  | usa
brazil | 1989 |  |  | 1989 | rating12
brazil | 1990 |  |  | 1990 | rating13
brazil | 1991 |  |  | 1991 | rating14
brazil | 1992
brazil | 1993
brazil | 1994
brazil | 1995
brazil | 1996
brazil | 1997
brazil | 1998
brazil | 1999 | rating4
brazil | 2000
brazil | 2001
Spreadsheet: 789769d1659357882-need-help-with-tax-tables-tax-sample
Sheet: Sheet1

 |  | 6978.01
 |  | 2320.32
 |  | 355.84
 |  |  |  |  |  |  |  | 306871
 |  |  |  |  |  |  |  | 90498
 |  |  |  |  |  |  |  |  |  | 1112
21806.27
7251
1112
Spreadsheet: 759608d1639614334-get-numbers-based-on-a-cell-and-between-2-numbers-horizontaly-sample
Sheet: Sheet1

OR Number Recorded
OR Number Recorded (sorted)
Missing
Spreadsheet: 168373d1342430092-calculating-development-with-negative-and-positive-numbers-if-abs-calculating-var-from-ve-and-ve
Sheet: Sheet1

Period 1 | Period 2 | Difference | Variance from Period 1 | Variance from Period 2
-2000 | 1000
1000 | -2000
-2000 | 1000
1000 | -2000
-2000 | -3000
Spreadsheet: 193493d1352847802-formula-to-determine-cost-of-items-sold-on-a-particular-date-costing
Sheet: Costs

Date | PLU | Description | Cost per Unit £
2012-04-01 00:00:00 | 000000000000000001 | [NAME] Extra Smooth 440ml | 1
2012-04-01 00:00:00 | 000000000000000002 | [NAME] | 1.1
2012-04-01 00:00:00 | 000000000000000003 | Boddingtons 440ml | 1.2
2012-04-06 00:00:00 | 000000000000000001 | [NAME] Extra Smooth 440ml | 0.91
2012-04-06 00:00:00 | 000000000000000002 | [NAME] | 1
2012-04-06 00:00:00 | 000000000000000003 | Boddingtons 440ml | 1.03
2012-04-10 00:00:00 | 000000000000000001 | [NAME] Extra Smooth 440ml | 1.02
2012-04-10 00:00:00 | 000000000000000002 | [NAME] | 1.05
2012-04-10 00:00:00 | 000000000000000003 | Boddingtons 440ml | 1.1
2012-04-16 00:00:00 | 000000000000000001 | [NAME] Extra Smooth 440ml | 0.94
2012-04-16 00:00:00 | 000000000000000002 | [NAME] | 0.95
2012-04-16 00:00:00 | 000000000000000003 | Boddingtons 440ml | 1.06
2012-05-23 00:00:00 | 000000000000000001 | [NAME] Extra Smooth 440ml | 0.96
2012-06-30 00:00:00 | 000000000000000001 | [NAME] Extra Smooth 440ml | 0.98
2012-07-17 00:00:00 | 000000000000000001 | [NAME] Extra Smooth 440ml | 1
2012-08-18 00:00:00 | 000000000000000001 | [NAME] Extra Smooth 440ml | 1.01
Spreadsheet: 125576d1319110025-year-planner-help-blank_planner
Sheet: Blank Year Planner

 |  |  |  |  |  |  |  |  |  |  |  |  | ACTIVITY PLANNER - YEAR SUMMARY FOR YEAR : |  |  |  |  |  |  |  |  |  |  |  |  |  | 2011
 |  | mon | tue | wed | thu | fri | sat | [NAME] | mon | tue | wed | thu | fri | sat | [NAME] | mon | tue | wed | thu | fri | sat | [NAME] | mon | tue | wed | thu | fri | sat | [NAME] | mon | tue | wed | thu | fri | sat | [NAME] | mon | tue | wed | thu | fri | sat | [NAME]
January |  |  |  |  |  |  | 1 | 2 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | January
February |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | February
March |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | March
April |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | April
May |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | May
June |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | June
July |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | July
August |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | August
September |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | September
October |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | October
November |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | November
December |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | December
Spreadsheet: theresa_staab__39632__October noms for Quest
Sheet: Sept

 |  |  | DAILY SCHEDULED VOLUME
PURCHASER: |  |  |  | SELLER:
Enron North America Corp. |  |  |  | Quantum Energy, L.L.C. | Quest Operating, LLC
1200 17th Street, [NAME] 2750 |  |  |  | [NAME]
Denver, Colorado  80202 |  |  |  | Sheridan, Wyoming  82801
Attention:  [NAME] |  |  |  | Attention:   [NAME]
Phone:  (303) 575-6485 |  |  |  | Phone:  (307) 673-1500
Fax:  (303) 534-0552 |  |  |  | Fax:  (307) 673-1400
E-mail Address:  [EMAIL] |  |  |  | E-mail Address: [EMAIL]
Flow Month: | 2001-10-01 00:00:00 |  |  |  | Effective Date: | 2001-10-01 00:00:00
 |  |  |  |  | (start date for flow)
Contract #: | 96040979
 |  | Btu factor: | 0.971 | Effective 6/1/01
DELIVERY POINTS:
 | Date | Pricing (less gathering) | Purchase Volume Mcf/d | Purchase Volume MMBtu/d | # of Days | Total MMBtu/for Month
 | Day1 - 31 | Original Purchase Price | 1250 |  | 31
 | Total Purchase:
** Purchase Price is CIG Gas Daily - $.35 less gathering and transportation
Spreadsheet: 703988d1605283153-how-do-i-get-division-colum-to-to-fill-with-a-formula-how-do-i-get-division-to-to-fill-with-a-formula
Sheet: Sheet1

ENTRY | Date&Time | Who | [NAME] | Division
1690 | 2020-11-11 06:16:44 | [NAME] | [EMAIL] | ANCC
1691 | 2020-11-11 06:35:03 | [NAME] | [EMAIL] | ANCC
1692 | 2020-11-11 07:12:01 | [NAME] | [EMAIL] | Plym-image360
1693 | 2020-11-11 07:18:55 | [NAME] | [EMAIL] | Plym-image360
1694 | 2020-11-11 07:19:23 | [NAME] | [EMAIL] | Plym-image360
1695 | 2020-11-11 07:35:30 | [NAME] | [EMAIL] | Plym-image360
1696 | 2020-11-11 07:38:15 | [NAME] | [EMAIL] | ANCC
1697 | 2020-11-11 07:41:35 | [NAME] | [EMAIL] | Troy-image360
1698 | 2020-11-11 07:44:16 | [NAME] | [EMAIL] | ANCC
1699 | 2020-11-11 07:54:43 | Therese [NAME] | [EMAIL] | ANCC
1700 | 2020-11-11 08:16:20 | [NAME] | [EMAIL] | Troy-image360
1701 | 2020-11-11 08:19:52 | Carly Correll | [EMAIL] | Troy-image360
 |  |  |  |  | ANCC
 |  |  |  |  | Plym-image360
 |  |  |  |  | Troy-image360
Spreadsheet: 43901d1242555572-average-column-depending-on-values-in-another-column-forex-journal-template
Sheet: JUNTOTALS

DATE | WINS | LOSSES | WIN AMOUNT | LOSS AMOUNT | Win % | Loss % | Gross P/L | PIPS | DEPOSITS & WITHDRAWALS
Week Sub Total
Week Sub Total
Week Sub Total
Week Sub Total
Week Sub Total
 | WINS | LOSSES | WIN $ | LOSS $ | WIN % | LOSS % | ACCOUNT $ TOTAL | TOTAL PIPS | TOTAL $ IN/OUT
TOTALS
 | ACTUAL WIN/LOSS $ |  |  |  |  |  | AV. $/PIP | AV. PIPS/DAY | AV. LOT [NAME] (MONTHLY)
Spreadsheet: 677437d1589360351-conditional-formatting-book1_highlight-sheet2
Sheet: Sheet1

Name | Dept | no.1 | no.2 | Value
[NAME] | IT | 44000 | 41 | 2004
[NAME] | Production | 45000 | 54 | 2003
[NAME] | IT | 47000 | 57 | 565
[NAME] | HR | 40000 | 33 | 2009
Lindsy Kline | Marketing | 59000 | 43 | 2006
[NAME] | HR | 57000 | 46 | 2003
[NAME] | IT | 42000 | 44 | 565
Spreadsheet: 868234d1714981536-tier-incentive-will-be-automatically-calculated-based-on-tier-doctors-calculation-april-2024-allan-sampling-of-doing-formula-copy-1-aligw
Sheet: Dr. Hani Nassar.

Contract Terms (*)
 |  | 1- Revenue Target | Incentive
 |  | Tier 1 - 200,00 to 300,000 | 3500
 |  | [NAME] to 400,000 | 8000
 |  | [NAME] to 500,000 | 14166
 |  | [NAME] to 600,000 | 20000
 |  | Tier 5 - 600,001 to 700,000 | 25000
 |  | [NAME] to 800,000 | 30000
 |  | Tier 7 - 800,001 to 900,000 | 35000
 |  | [NAME] | 40000
 |  | Tier 9 - 1,000,001 and above | 45000
 |  | Description | Commission
 |  | Lab (after deducting cost) | 0.1
 |  | Consultation | 0.5
 |  | Procedures (after deducting consumables) | 0.5
Doctor Calculation
 |  | Lab Revenue 10% | 0
 |  | Amount to be paid |  | 0.1
 |  | Doctor Revenue | 338157.7900000003
 |  | Consumables | 62199.02
 |  | [NAME] | 0
 |  | Ulthera Depraciation | 0
 |  | Net Revenue
 |  | Doctor Commision
 |  | Doctor Incentive on Revenue
 |  | Amount to be Paid
 |  | Total Amount to be Paid
 |  | Less 2.5 % Admin Fee
 |  | Less Monthly Salary | 45000
 |  | Add Monthly Vacation and Tickets | 5000
 |  | Net Amount to be Paid
Prepared By …................. |  |  |  | CFO: | .......................
Spreadsheet: d55a74c6-2ae6-4a20-8715-d710b06e6b69
Sheet: Sheet1

PROG ID | ATHLETE ID | ATHLETE FIRST | ATHLETE LAST | NATIONALITY | START NUMBER | RUN | T1 | SWIM | T2 | RUN.1 | POSITION | TOTAL TIME
3160 | 12776 | [NAME] | [NAME] | MEX | 0 | 00:08:49 | 00:00:22 | 00:15:00 | 00:00:29 | 00:08:53 | 1 | [NAME]
3160 | 17361 | Marina | Saucedo | MEX | 0 | 00:09:05 | 00:00:22 | 00:14:49 | 00:00:28 | 00:10:59 | 2 | 00:35:43
3160 | 76188 | Amalia Isabel | [NAME] | MEX | 0 | 00:09:58 | 00:00:22 | 00:15:29 | 00:00:27 | 00:11:37 | 3 | 00:37:53
3160 | 17235 | Judge | Jones | USA | 0 | 00:09:43 | 00:00:37 | 00:17:04 | 00:00:46 | 00:10:28 | 4 | 00:38:38
3160 | 17360 | [NAME] | Flores | MEX | 0 | 00:10:07 | 00:00:24 | [NAME] | 00:00:34 | 00:11:05 | 5 | [NAME]
3160 | 17363 | Neyra Ninel | Gutierrez | MEX | 0 | 00:10:34 | 00:00:24 | 00:16:03 | 00:00:32 | 00:11:40 | 6 | 00:39:13
Spreadsheet: jeff_dasovich__14128__FIN group project2
Sheet: chart data

 |  | % win