tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: david_delainey__8099__Market Data Costs 11-9
Sheet: Allocated vs. Non-Allocated

Market Data Feed Summary
Allocated Feeds | 2001 Budget |  |  | [NAME] Feeds | 2001 Budget
American Stock Exchange | 45026 |  |  | Canadian Enerdata | 22367
Autex | 26793 |  |  | Cyber Tech, Inc | 3000
Bloomberg | 1852894 |  |  | Dow Jones Interactive Service | 675000
Bridge (Telerate Plus) | 919000 |  |  | Energy Intell. Group | 47880
CQG | 832200 |  |  | Financial Times Energy | 190000
Dow Jones News on Telerate | 50400 |  |  | Freese/Notis Weather | 24897
DTN | 18408 |  |  | IHS Energy Group/Dwights LLC | 249499
FACTSET | 95000 |  |  | Intelligence Press | 89504
First Call Data | 37728 |  |  | McGraw Hill S&P Compustat | 42186
IBES Int'l. | 86840 |  |  | Merrick | 38251
Instinet | 24960 |  |  | Oil & Gas Information Systems | 2704
[NAME] | 271320 |  |  | Primark (Disclosure) | 161610
NASDAQ Exchange | 31217 |  |  | Utility Data Institute(UDI) | 14926
New York Stock Exchange | 65803 |  |  | CMAI | 32000
OPRA | 38184 |  |  | DRI - LIM | 160000
RDI | 190596 |  |  | ICIS LOR | 23930
Reuters | 2301760 |  |  | S & P Platt's | 400000
Ried, Thumberg & Co.(telerate) | 3893 |  |  | Petroleum  Argus | 207480
Stockval | 36588 |  |  | UGC/OPIS | 50700
Telerate | 500000 |  |  | Seapac Services | 11248
Toronto Stock Exchange | 32700
Trac Data | 48880
Miscellaneous | 200000
LIM | 593543
 |  |  |  | Notes:
Total for Allocated Feeds |  |  |  | Current Allocation is: | 8606985.839999983
Total for Non-Allocated Feeds |  |  |  | Total Proposed for 2001: | 8303733
Grand Total for Market Data Feeds |  |  |  | [NAME]:
 |  |  |  | Reason for [NAME]:
 |  |  |  | We expect certain allocations to increase due to an
 |  |  |  | increase in the number of users.  We also expect
 |  |  |  | Telerate usage to significantly drop with the
 |  |  |  | implementation of the new thick/thin client.
 |  |  |  | (see Proposed Budget Detail Sheet for more Details)
Spreadsheet: 185873d1349867531-looking-up-a-series-of-values-over-a-date-range-123
Sheet: Y

Posting Key | GL Code | A/C Type | A/C Description | Bank Accounts | Date | Expense Description/Line Item Text | Suppliers Name | Tax  Code | Currency | Amount AED | Running Total
Key |  |  |  |  |  |  |  | Code
15 | 1 | Operating Expense | f | [NAME] (AED) | 2012-09-26 00:00:00 | q | K P Mart | PE | AED | 1 | 20
16 | 2 | Operating Expense | g | [NAME] (AED) | 2012-09-27 00:00:00 | w | Sara | PE | AED | 1 | 19
17 | 3 | Operating Expense | h | [NAME] (AED) | 2012-09-27 00:00:00 | e | PRO | PE | AED | 1 | 18
18 | 4 | Operating Expense | j | [NAME] (AED) | 2012-09-27 00:00:00 | r | Red Rose Mart & Cafe - | PE | AED | 1 | 17
19 | 5 | Operating Expense | k | [NAME] (AED) | 2012-09-29 00:00:00 | t | KP Mart | PE | AED | 1 | 16
20 | 6 | Operating Expense | l | [NAME] (AED) | 2012-10-01 00:00:00 | y | Etisalat | PE | AED | 1 | 15
21 | 7 | Operating Expense | z | [NAME] (AED) | 2012-10-01 00:00:00 | u | Etisalat | PE | AED | 1 | 14
22 | 8 | Operating Expense | x | [NAME] (AED) | 2012-10-02 00:00:00 | i | PRO | PE | AED | 1 | 13
23 | 9 | Operating Expense | c | [NAME] (AED) | 2012-10-02 00:00:00 | o | PRO | PE | AED | 1 | 12
24 | 10 | Operating Expense | v | [NAME] (AED) | 2012-10-04 00:00:00 | p | Lebanos | PE | AED | 1 | 11
25 | 11 | Operating Expense | b | [NAME] (AED) | 2012-10-07 00:00:00 | a | Al Fajer | PE | AED | 1 | 10
26 | 12 | Operating Expense | n | [NAME] (AED) | 2012-10-08 00:00:00 | s | KP Mart | PE | AED | 1 | 9
27 | 13 | Operating Expense | m | [NAME] (AED) | 2012-10-08 00:00:00 | d | Desco | PE | AED | 1 | 8
Spreadsheet: 874928d1721442783-count-block-of-empty-cells-within-range-urenadministratie
Sheet: Sheet1

 |  | Begin | lunch | End | Working hours | Night rest | Reason for violation
 |  | Begin | lunch | Eind | Werkuren | [NAME] rust | Reden overtreding | Werkuren | [NAME] rust
2024-01-01 00:00:00 | Maandag | 09:00:00 | 00:30:00 | 17:00:00
2024-01-02 00:00:00 | Dinsdag | 06:30:00 | 00:30:00 | 20:30:00
2024-01-03 00:00:00 | Woensdag | 12:00:00 | 01:00:00 | 04:00:00
2024-01-04 00:00:00 | Donderdag | 08:00:00 | 00:30:00 | 16:00:00
2024-01-05 00:00:00 | Vrijdag | 09:00:00 | 00:30:00 | 13:00:00
2024-01-06 00:00:00 | Zaterdag | 06:00:00 | 01:00:00 | 23:00:00
2024-01-07 00:00:00 | Zondag
Totaal
2024-01-08 00:00:00 | Maandag | 09:00:00 | 00:30:00 | 17:00:00
2024-01-09 00:00:00 | Dinsdag | 06:30:00 | 00:00:00 | 18:00:00
2024-01-10 00:00:00 | Woensdag | 09:00:00 | 00:00:00 | 13:00:00
2024-01-11 00:00:00 | Donderdag | 09:00:00 | 00:00:00 | 13:00:00
2024-01-12 00:00:00 | Vrijdag | 09:00:00 | 00:00:00 | 13:00:00
2024-01-13 00:00:00 | Zaterdag | 06:00:00 | 01:00:00 | 23:00:00
2024-01-14 00:00:00 | Zonderdag
Totaal
2024-01-15 00:00:00 | Maandag | 09:00:00 | 00:00:00 | 14:00:00
2024-01-16 00:00:00 | Dinsdag
2024-01-17 00:00:00 | Woensdag
2024-01-18 00:00:00 | Donderdag
2024-01-19 00:00:00 | Vrijdag
2024-01-20 00:00:00 | Zaterdag
2024-01-21 00:00:00 | Zonderdag
Totaal
2024-01-22 00:00:00 | Maandag
2024-01-23 00:00:00 | Dinsdag
2024-01-24 00:00:00 | Woensdag
2024-01-25 00:00:00 | Donderdag
2024-01-26 00:00:00 | Vrijdag
2024-01-27 00:00:00 | Zaterdag
2024-01-28 00:00:00 | Zonderdag
Totaal
2024-01-29 00:00:00 | Maandag
2024-01-30 00:00:00 | Dinsdag
2024-01-31 00:00:00 | Woensdag
2024-02-01 00:00:00 | Donderdag
2024-02-02 00:00:00 | Vrijdag
2024-02-03 00:00:00 | Zaterdag
2024-02-04 00:00:00 | Zonderdag
Spreadsheet: 171405d1343722296-need-a-macro-that-finds-and-replace-text-in-multiple-sheet-xxy
Sheet: Sheet1

 | OLD VALUE | NEW FIELD VALUE
 | [NAME] | BOSNIA
 | BRUNEI DARUSSALAM | BRUNEI
 | CONGO DEM REP OF | CONGO
 | EGYPT ARAB REP | EGYPT
 | EQUATORIAL GUINEA | EQ. GUINEA
 | FRENCH POLYNESIA | FR. POLYNESIA
 | HONG KONG (SAR) CHINA | HONG KONG
 | KOREA REPUBLIC OF | KOREA
 | LAO PEOPLE DEMOCRA REP | LAOS PDR
 | LIBYAN ARAB JAMAHIRIYA | LIBYA
 | PANAMA REPUBLIC | PANAMA
 | PEOPLE'S REPUBLIC CHIN | PR CHINA
 | RUSSIAN FEDERATION | RUSSIA
 | SEYCHELLES ISLANDS | SEYCHELLES
 | SPAIN AND CANARY ISLANDS | SPAIN
 | UNITED ARAB EMIRATES | UAE
 | VIETNAM SOC REP OF | VIETNAM
Spreadsheet: 772753d1647453872-calculate-total-amount-based-on-given-year-book13
Sheet: Sheet1

 | Loan Information
Loan amount |  |  | 596000
Term (years) |  |  | 5
Starting interest rate |  |  | 0.029009
First payment date |  |  | 2020-01-01 00:00:00
Starting monthly payment
 | Rate Adjustments
 |  | Rate | As Of …
 | [NAME] | 0.02
 | New Rates | 0.03 | 2020-06-01 00:00:00
 |  | 0.03 | 2020-09-01 00:00:00
 |  | 0.04 | 2021-01-01 00:00:00
 |  | 0.02 | 2021-04-01 00:00:00
 |  | 0.01 | 2021-08-01 00:00:00
No. | Payment Date | Interest Rate | Payment Due | Extra Payment | Interest | Principal | Balance | Total Interest | Total Principal |  | Year | Average % Interest Rate | Extra Payment | Interest | Principal | Balance | Total Interest | Total Principal
 |  |  |  | 100 |  |  |  |  |  |  | 2020
 |  |  |  |  |  |  |  |  |  |  | 2021
 |  |  |  | 100
 |  |  |  | 100
Spreadsheet: 722343d1615206174-index-match-search-find-not-working-test-file
Sheet: Sheet1

 |  | Cost
 | Bananas | 0.52 |  | Bananas |  |  | =@FILTER(INDEX(B:C,3,2):INDEX(B:C,10,2),(ISNUMBER(SEARCH("Bananas",INDEX(B:C,3,1):INDEX(B:C,10,1)))))
 | Apples | 1.49
 | Apples and Pears | 2.4 |  | Pears |  |  | =@FILTER(INDEX(B:C,3,2):INDEX(B:C,10,2),(ISNUMBER(SEARCH("Pears",INDEX(B:C,3,1):INDEX(B:C,10,1)))))
 | Pears | 0.4
 | Grapes | 0.99 |  | Pears |  |  | =@FILTER(INDEX(B:C,3,2):INDEX(B:C,10,2),(ISNUMBER(MATCH("Pears",INDEX(B:C,3,1):INDEX(B:C,10,1)))))
 | Oranges | 1.33
 | Oranges and [NAME] | 1.21 |  | Pears |  |  | =@FILTER(INDEX(B:C,3,2):INDEX(B:C,10,2),(ISNUMBER(Find("Pears",INDEX(B:C,3,1):INDEX(B:C,10,1)))))
 | Pears in Syrup | 0.86
 | Question
 | Finds "Pears" at 0.40
 | Indexs use columns and rows on the spreadsheet I am trying to work on hence the look of the above.
Spreadsheet: 752452d1634759659-sumproduct-multiplying-based-on-multiple-conditions-hop_inv_tracking_example
Sheet: Depletion Sheet

 |  | 2021-06-06 00:00:00
 |  | Week 23 |  |  |  |  |  | Week 24 |  |  |  |  |  | Week 25 |  |  |  |  |  | Week 26 |  |  |  |  |  | Week 27 |  |  |  |  |  | Week 28 |  |  |  |  |  | Week 29 |  |  |  |  |  | Week 30 |  |  |  |  |  | Week 31 |  |  |  |  |  | Week 32 |  |  |  |  |  | Week 33
Product | Current Inventory | Start of Week Inventory | Total Weekly Depletions | End of Week Inventory - Anticpated | Adjustments (+/-) | End of Week Inventory - Actual |  | Start of Week Inventory | Total Weekly Depletions | End of Week Inventory - Anticpated | Adjustments  (+/-) | End of Week Inventory - Actual |  | Start of Week Inventory | Total Weekly Depletions | End of Week Inventory - Anticpated | Adjustments  (+/-) | End of Week Inventory - Actual |  | Start of Week Inventory | Total Weekly Depletions | End of Week Inventory - Anticpated | Adjustments  (+/-) | End of Week Inventory - Actual |  | Start of Week Inventory | Total Weekly Depletions | End of Week Inventory - Anticpated | Adjustments  (+/-) | End of Week Inventory - Actual |  | Start of Week Inventory | Total Weekly Depletions | End of Week Inventory - Anticpated | Adjustments  (+/-) | End of Week Inventory - Actual |  | Start of Week Inventory | Total Weekly Depletions | End of Week Inventory - Anticpated | Adjustments  (+/-) | End of Week Inventory - Actual |  | Start of Week Inventory | Total Weekly Depletions | End of Week Inventory - Anticpated | Adjustments  (+/-) | End of Week Inventory - Actual |  | Start of Week Inventory | Total Weekly Depletions | End of Week Inventory - Anticpated | Adjustments  (+/-) | End of Week Inventory - Actual |  | Start of Week Inventory | Total Weekly Depletions | End of Week Inventory - Anticpated | Adjustments  (+/-) | End of Week Inventory - Actual |  | Start of Week Inventory | Total Weekly Depletions | End of Week Inventory - Anticpated | Adjustments  (+/-) | End of Week Inventory - Actual
Hop 1 | 55000 | 55000
Hop 2 | 36000 | 36000 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 35780
Hop 3 | 4000 | 4000
Hop 4 | 2200 | 2200
Hop 5 | 1100 | 1100
Hop 6 | 500 | 500
Hop 7 | 250 | 250
Hop 8 | 1150 | 1150
Hop 9 | 200 | 55 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 200
Hop 10 | 55 | 55
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | D&N
Spreadsheet: 105865d1303142416-array-problem-with-empty-cells-empty-exmp
Sheet: Sheet1

C |  | N
 |  | n
 |  | N
A | B | N
[NAME] | B | N
 |  | N
 |  | N
 | A- | N
 | A- | N
 |  | N
 | A | N
 |  | N
 |  | N
 | A | N
 |  | N
 | B | N
 | A | N
 | B | N
 | A | N
 | B | N
 | B | N
 |  | N
 | A | N
 |  | N
 |  | N
 |  | N
 |  | N
 | A | N
 |  | N
 |  | N
 |  | N
 |  | N
Spreadsheet: 110353d1307038303-excluding-values-over-a-given-somechart
Sheet: Sheet1

stuff | percentage | percentage [NAME] | percentage ignore>100
pigs | 0.1 | 0.1 | 0.1
goats | 1.5 | 1 | #N/A
apples | 0.9 | 0.9 | 0.9
dogs | 1.6 | 1 | #N/A
cats | 0.45 | 0.45 | 0.45
Spreadsheet: 884410d1733539770-best-to-the-left-array-lambda-map-sortby-recursive-besttotheleft-question
Sheet: Sheet1

Name | Quota | No |  | The Problem - BestToTheLeft
Jacobs | 16.2 | 1 |  |  | Arrange each row of players, left to right, higher quota to left.
Hennessey | 18.8 | 2 |  |  | I want an array that I can paste Values over the first array.
Wasson | 20.4 | 3 |  |  | So the better Quota Players on the Left, in Player A column
Dieruf | 18 | 4
Morehead | 19.8 | 5 |  |  | Player A | Player B | Player C | Player D
Yaden | 26.4 | 6 |  |  | Jacobs | Hennessey | Wasson | Open
[NAME] | 22.4 | 7 |  |  | Dieruf | Morehead | Yaden | [NAME]
[NAME] | 14 | 8 |  |  | [NAME] | Nalley | Garrett | [NAME]
Nalley | 19.8 | 9 |  |  | Dietz | Wachtel | Abell | Barnes
Garrett | 28.8 | 10 |  |  | Ruffra | O'Neil | [NAME] | Clem
[NAME] | 25.4 | 11 |  |  | Walsh | Pribble | Blandford | [NAME]
Dietz | 20.2 | 12
Wachtel | 32.4 | 13 |  |  | I'm first using a [NAME] funtion in F15 to get an array of Quotas
Abell | 24.6 | 14 |  |  |  | 18.8 | 20.4 | 0 |  |  | 18.8 | 20.4 | 0
Barnes | 17.6 | 15 |  |  | 18 | 19.8 | 26.4 | 22.4 |  | 18 | 19.8 | 26.4 | 22.4
Ruffra | 24.6 | 16 |  |  | 14 | 19.8 | 28.8 | 25.4 |  | 14 | 19.8 | 28.8 | 25.4
O'Neil | 21 | 17 |  |  | 20.2 | 32.4 | 24.6 | 17.6 |  | 20.2 | 32.4 | 24.6 | 17.6
[NAME] | 20.4 | 18 |  |  | 24.6 | 21 | 20.4 | 30.4 |  | 24.6 | 21 | 20.4 | 30.4
Clem | 30.4 | 19 |  |  | 26.8 | 26.8 | 27 | 10.6 |  | 26.8 | 26.8 | 27 | 10.6
Walsh | 26.8 | 20
Pribble | 26.8 | 21 |  |  | Then I use a SortBy to arrange the names based on Quota - Highest to Lowest
Blandford | 27 | 22 |  |  | But I need to do this for each individual ROW.
[NAME] | 10.6 | 23 |  |  |  | Hennessey | Jacobs | Open
 |  |  |  |  |  | [NAME] | Morehead | Dieruf
 |  |  |  |  |  | [NAME] | Nalley | [NAME]
 |  |  |  |  |  | Abell | Dietz | Barnes
 |  |  |  |  |  | Ruffra | O'Neil | [NAME]
 |  |  |  |  |  | Walsh | Pribble | [NAME]
 |  |  |  |  | Now I copy the last array and Paste Values over the first array.  Done.
 |  |  |  |  | How can I create the last array  using a ByRow Function???
 |  |  |  |  | Better would be to not need intermediate arrays to do all the work?
 |  |  |  |  |  | Not sure this is possible without a Recursive Lambda.
 |  |  |  |  |  | I need a spill function in F24??
 |  |  |  |  |  | Hennessey | Jacobs | Open
 |  |  |  |  |  | [NAME] | Morehead | Dieruf
 |  |  |  |  |  | [NAME] | Nalley | [NAME]
 |  |  |  |  |  | Abell | Dietz | Barnes
 |  |  |  |  |  | Ruffra | O'Neil | [NAME]
 |  |  |  |  |  | Walsh | Pribble | [NAME]
 |  |  |  |  |  | Hennessey | Jacobs | Open
 |  |  |  |  | Yaden | [NAME] | Morehead | Dieruf
 |  |  |  |  | Garrett | [NAME] | Nalley | [NAME]
 |  |  |  |  | Wachtel | Abell | Dietz | Barnes
 |  |  |  |  | Clem | Ruffra | O'Neil | [NAME]
 |  |  |  |  | Blandford | Walsh | Pribble | [NAME]
Spreadsheet: 692829d1598600301-multiple-spreadsheet-values-required-and-data-returned-over-48hrs-excel-forum
Sheet: Rolling 17 Weeks

Emp No | First Name | Last Name | Work Location | Week 1 | Week 2 | Week 3 | Average
1 | [NAME] | Smith
2 | [NAME] | Jones
3 | Bobbi | [NAME]
4 | [NAME] | Singh
5 | [NAME] | [NAME]
6 | Bertie | Davies
7 | Obi | Stanley
8 | Bobba | [NAME]
9 | [NAME] | Bloggs
Spreadsheet: louise_kitchen__23934__AugQTD Orig w notes
Sheet: Northeast

Northeast Origination
For the Quater Ended August 31
By Team
Originator |  | Commodity |  | Team |  | Total |  | %Total
[NAME] |  | Power |  | Northeast Orig |  | 80000
[NAME] |  | Power |  | Northeast Orig |  | 60000
Wood |  | Power |  | Northeast Orig |  | 54000
Schener |  | Power |  | Northeast Orig |  | 50000
[NAME] |  | Power |  | Northeast Orig |  | 20000
Wheeler |  | Power |  | Northeast Orig |  | 10000
Valderama |  | Power |  | Northeast Orig |  | 8200
Wood |  | Power |  | Northeast Orig |  | 5000
[NAME] |  | Power |  | Northeast Orig |  | 800
Total
Spreadsheet: 707406d1607251206-using-a-list-to-reduce-worksheets-midshires-master
Sheet: LA

 |  |  |  | ADJUSTED HANDICAP |  |  |  |  |  | OFFICIAL HANDICAP |  |  |  |  | HANDICAPPING ALTERATIONS
hole | par | S/I | SHOTS | CALC | points | PAR 3 | SI/1 | SI/2 | S1/3 | SI/1 | S1/2 | S1/3 | CALC | points | EXACT | catagory | BUFFER | css | Nett | adjustment
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | HANDICAP |  | ZONE |  | Differential
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | sss | css adj | "RO"
in
out |  |  |  |  |  | TOTAL
total
Spreadsheet: 707885d1607525196-how-to-assign-a-country-to-a-specific-area-dashboard
Sheet: NEW ZEALAND

Country | Category of item | Brands | Name of item | Reference N of the item | End user price in local currency after VAT | GNI per capita | Bundled | End user price in EUR after VAT |  | Top 5  lowest price | AB | MedEL | Cochlear | OM | Custom label
Country | Category of item | Brands | Name of item | Reference N of the item | End user price in local currency after VAT | GNI per capita | Bundled | End user price in EUR after VAT |  | Top 5  highest price | AB | MedEL | Cochlear | OM | Custom label
Country | Category of item | Brands | Name of item | Reference N of the item | End user price in local currency after VAT | GNI per capita | Bundled | End user price in EUR after VAT |  | Antenna cable | AB | MedEL | Cochlear | OM | Custom label
Country | Category of item | Brands | Name of item | Reference N of the item | End user price in local currency after VAT | GNI per capita | Bundled | End user price in EUR after VAT |  | [NAME] | AB | MedEL | Cochlear | OM | Custom label
Country | Category of item | Brands | Name of item | Reference N of the item | End user price in local currency after VAT | GNI per capita | Bundled | End user price in EUR after VAT |  | Charger | AB | MedEL | Cochlear | OM | Custom label
Country | Category of item | Brands | Name of item | Reference N of the item | End user price in local currency after VAT | GNI per capita | Bundled | End user price in EUR after VAT |  | Recheargable battery | AB | MedEL | Cochlear | OM | Custom label
Country | Category of item | Brands | Name of item | Reference N of the item | End user price in local currency after VAT | GNI per capita | Bundled | End user price in EUR after VAT |  | Full swim kit | AB | MedEL | Cochlear | OM | Custom label
Spreadsheet: sally_beck__34340__2002 Budget Edie Format
Sheet: SAP

 | SAP
 | 2002 Plan
 |  | 2001-09-01 00:00:00 |  | 2001 |  | 2002 |  |  |  | Per HC | New HC | Adj Comp |  | 2002
 |  | YTD Actual |  | Forecast |  | Plan |  |  |  |  |  |  |  | Plan
ENACOMP | Compensation
 | Special Pays | 0 |  |  |  |  |  |  | Compensation | 0
 | Analysts & Associates | 0
ENABENTX | Benefits & Payroll Taxes
ENAEMPEX | Employee Expense |  |  |  |  |  |  |  | Other |  | 12
ENAT&EEX | Travel & Entertainment Expense
ENAOUTSV | Outside Services |  |  |  |  |  |  |  | Total
ENASUPP | Supplies Expense
ENAMKTEX | Marketing |  |  |  |  | 0
ENACONTR | Charitable Contributions |  |  |  |  | 0 |  |  | [NAME] | 49200 | 0
ENARENT | Rent |  |  |  |  | 0 |  |  | [NAME] | 57600 | 0
ENATECH | Technology |  |  |  |  |  |  |  | Staff | 60000 | 0
ENATRANS | Transportation |  |  |  |  | 0 |  |  | Specialist | 78000 | 2
ENAOTHEX | Other Expenses |  |  |  |  |  |  |  | Sr. Specialist | 102000 | 2
ENATAXES | Taxes Other than Income |  |  |  |  | 0 |  |  | Analyst | 0 | 0
ENATOTDR | Total Direct Expenses |  |  |  |  |  |  |  | Associate | 0 | 0
 |  |  |  |  |  |  |  |  | Manager | 144000 | 3
 | Headcount |  |  | 111 |  | 12 |  |  | Director | 168000 | 2
 |  |  |  |  |  |  |  |  | Sr. Director | 216000 | 3
 | Analysts & Associate Headcount |  |  | 0 |  | 0 |  |  | VP | 222000 | 0
 |  |  |  |  |  |  |  |  | MD | 300000 | 0
 | Total Headcount |  |  |  |  |  |  |  |  |  |  |  |  | 1
ENAOUTLG | Outside Legal |  |  |  |  |  |  |  | Benefits & Taxes |  |  | 0.2
ENAOUTTX | Outside Tax
ENAINSUR | Insurance |  |  |  |  |  |  |  | Consultants | 160000 | 0
ENASYSDV | System Development |  |  | 0
ENACORIT | Controllable Infrastructure |  |  | 0
ENACORRN | Corporate Rent |  |  | 0
ENAOTHAL | Other Allocated Direct  Expenses |  |  | 0 |  |  |  | Other Expense Calculation
ENADEPR | Depreciation & Amortization |  |  | 0
 |  |  |  |  |  |  |  | Based on information from ENW accounting.
Spreadsheet: 20265c69-9d43-482b-a291-b293144053b3
Sheet: Sheet1

LABEL | UPC | ARTIST | TITLE | RELEASEDATE | PRODUCTTYPE | GENRE | PRICE | [NAME] | STATUS
Warner Home Video | 883929026623 | Various | [NAME] | 2010-08-31 | DVD | Insp | 22.98 | Y | Available
Warner Home Video | 883929131716 | Warner Home Video | Temple Grandin | 2010-08-24 | DVD | Insp | 14.98 | Y | Available
Image Entertainment | 14381665024 | Various | Blood Done Sign My Name | 2010-08-03 | DVD | Insp | 27.98 | Y | Available
Image Entertainment | 14381667653 | Various | Blood Done Sign My Name (Bluray) | 2010-08-03 | DVD | Insp | 29.98 | Y | Available
Paramount | 97368931749 | Various | Noelle | 2008-11-11 | DVD | Insp | 19.99 | Y | Available
Warner Home Video | 883929168835 | Various | Charlton Heston Presents The Bible: Genesis | 2011-03-29 | DVD | Insp | 12.97 | Y | Available
Warner Home Video | 883929169153 | Various | Charlton Heston Presents The Bible: [NAME] [NAME] | 2011-03-29 | DVD | Insp | 12.97 | Y | Available
Warner Home Video | 883929168859 | Various | Charlton Heston Presents The Bible: Moses | 2011-03-29 | DVD | Insp | 12.97 | Y | Available
Warner Home Video | 883929168873 | Various | Charlton Heston Presents The Bible: The Passion | 2011-03-29 | DVD | Insp | 12.97 | Y | Available
Universal | 25192197024 | Various | [NAME] | 2010-08-31 | DVD | Insp | 14.98 | Y | Available
Image Entertainment | 14381794120 | Various | Trinity Goodheart | 2012-03-20 | DVD | Insp | 14.98 | Y | Available
Image Entertainment | 14381788426 | Various | Decision | 2012-03-06 | DVD | Insp | 22.98 | Y | Available
Warner Home Video | 883929181667 | Various | [NAME] | 2011-05-24 | DVD | Insp | 27.98 | Y | Available
Warner Home Video | 883929173280 | Various | Gods And [NAME] | 2011-05-24 | DVD | Insp | 27.98 | Y | Available
Warner Home Video | 883929033065 | Various | Taking Chance | 2011-05-10 | DVD | Insp | 9.98 | Y | Available
Spreadsheet: 61811d1262728592-nested-ifs-sched-with-omm
Sheet: Saturday

 | One Minute Meeting
 | Date:
 | Yest.Goal | Yest Act. |  | $ +/- | TODAY'S GOAL | ASH | ADT Goal | UPT Goal
 | $ | $ |  | $ | 819 | $ | $
 | WTD Goal | WTD Act. |  | $ +/- |  |  | ADT WTD | UPT WTD
 | $ | $ |  | $ |  |  | $
 | MTD [NAME] | MTD Act. |  | $ +/- |  |  | ADT MTD | UPT MTD
 | $ | $ |  | $ |  |  | $
 | Merchandise Message
 | Today's Schedule
 | Employees Scheduled |  |  | 5
 | Name/Initals | Shift Start | Shift End | Sales Goal | Sales Actual | % to Goal | ADT | UPT | SOCKS
1 | [NAME] | 11:00:00 | 20:30:00 | $ | $ | % | $
2 | [NAME] | 09:00:00 | 15:00:00 | $ | $ | % | $
3 | Natasha | 09:30:00 | 15:00:00 | $ | $ | % | $
4 | [NAME] | 15:00:00 | 20:30:00 | $ | $ | % | $
5 | [NAME] | 11:00:00 | 16:00:00 | $ | $ | % | $
6 |  |  |  | $ | $ | % | $
7 |  |  |  | $ | $ | % | $
8 |  |  |  | $ | $ | % | $
9 |  |  |  | $ | $ | % | $
10 |  |  |  | $ | $ | % | $
 | [NAME]
 | Hour | % By Hour |  | Target Sales | Actual Sales | UPT | ADT | ASH
 | 11:00:00 | 0.1 |  | 81.9 | $ |  | $ | $
 | 12:00:00 | 0.2 |  | 163.8 | $ |  | $ | $
 | 13:00:00 | 0.3 |  | 245.7 | $ |  | $ | $
 | 14:00:00 | 0.4 |  | 327.6 | $ |  | $ | $
 | 15:00:00 | 0.5 |  | 409.5 | $ |  | $ | $
 | 16:00:00 | 0.6 |  | 491.4 | $ |  | $ | $
 | 17:00:00 | 0.7 |  | 573.3 | $ |  | $ | $
 | 18:00:00 | 0.8 |  | 655.2 | $ |  | $ | $
 | 19:00:00 | 0.9 |  | 737.1 | $ |  | $ | $
 | 20:00:00 | 1 |  | 819 | $ |  | $ | $
Spreadsheet: benjamin_rogers__1060__Development
Sheet: Summary

Newco
Development - Financial Summary
(All values in 000s)
 | 2000
New Capacity - FPLE |  | 0 | 1500 | 3000 | 3000 | 3000
New Capacity - Enron
Existing - Newco
Cumulative MW
PP&E
FPLE | 0
ENA | 0 |  |  |  | 0 | 0
Total PP&E | 0
Equity
Debt
Net Income
Moore
[NAME] |  | 0
Pastoria |  | 0 | 0
ENA Sub Total
2001 Projects
2002 Projects |  | 0
2003 Projects |  | 0 | 0
2004 Projects |  | 0 | 0 | 0
2005 Projects |  | 0 | 0 | 0 | 0
FPLE Sub Total
Total
Aftertax Cash
Moore
[NAME] |  | 0
Pastoria |  | 0 | 0
ENA Sub Total
2001 Projects |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
2002 Projects |  | 0
2003 Projects |  | 0 | 0
2004 Projects |  | 0 | 0 | 0
2005 Projects |  | 0 | 0 | 0
FPLE Sub Total
Total
First year is half year.
Construction loan is done off-balance sheet; convert to term at COD.
Includes Rhode Island Project (2002 in-service); utilizes Reliant's CTs
Includes all advanced stage development projects except wind.
Utilizes generic combined cycle financial information - 2 x 1 configuration (500 MW), $550/kW capital cost, 20 yr 14% aftertax equity return, 60/40 debt to equity capital structure.
Spreadsheet: benjamin_rogers__1212__regional LM heat rates 03272000
Sheet: Sheet1

 |  | unit capacity | plant net heat rate |  | SCR | gas pressure | specials
 |  | kW net plant | Btu/kWhr HHV
 |  | new & clean | new & clean
New England | 91F/43% |  | 10287 |  | 2/2/10 | 700 | silencing
Texas | 101F/35% |  | 10492 |  | 5/X/10 | 400 | none
Mississippi Valley | 89F/50% |  | 10291 |  | none | 700 | 6 unit deal
Southern | 93/49% |  | 10465 |  | 5/X/10 | 700 | none