tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 0c4e45e0-854b-41b9-ac41-2ad042d0ccf9
Sheet: Sheet1

Traumatic Brain Injury Hospital Discharges, by Year, Maine, 1999-2009 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5
Year | Number | Crude Rate |  | Age-adjusted Rate
 |  | Rate | 95% CI | Rate | 95% CI
1999 | 942 | 74.4 | 69.7 - 79.3 | 73.6 | 68.9 - 78.5
2000 | 998 | 78.1 | 73.4 - 83.1 | 76.9 | 72.2 - 81.9
2001 | 959 | 74.7 | 70.0 - 79.5 | 72.5 | 67.9 - 77.3
2002 | 1068 | 82.5 | 77.6 - 87.6 | 80.1 | 75.4 - 85.1
2003 | 1178 | 90.2 | 85.1 - 95.5 | 86.5 | 81.5 - 91.6
2004 | 1191 | 90.4 | 85.4 - 95.7 | 87.6 | 82.6 - 92.8
2005 | 1181 | 89.4 | 84.3 - 94.6 | 85.5 | 80.6 - 90.6
2006 | 1162 | 87.9 | 82.9 - 93.1 | 83.4 | 78.6 - 88.5
2007 | 1238 | 94 | 88.8 - 99.4 | 87.4 | 82.5 - 92.5
2008 | 1168 | 88.7 | 83.7 - 94.0 | 81.8 | 77.1 - 86.8
2009 | 1146 | 86.9 | 82.0 - 92.1 | 77.8 | 73.2 - 82.6
Data Source: Maine Hospital Inpatient Database; Maine Health Data Organization. Traumatic brain injury hospital discharge is defined as a discharge for which the principal and/or one of the secondary diagnoses is coded as ICD-9-CM code 800.0-801.9, 803.0-804.9, 850.0-850.9, 851.0-854.1, 950.1-950.3, 959.01, or 995.55. Crude rates are hospital discharges per 100,000 population. Age-adjusted rates are hospital discharges per 100,000 population age-adjusted to the U.S. 2000 standard population. 95% CI: 95% confidence interval of the rate. Excludes discharges from rehabilitation and psychiatric hospitals.
Spreadsheet: 745798d1630220373-help-correct-formula-extracting-rows-matching-two-criteria-ask-q-extract-rows
Sheet: End result

Day 11 | 0 | 1 | 0 | 0 | 0 | 0 | 19 | 0 | 0 |  | 11,12 | True
Day 12 | 44 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 67 |  | 11,12 | True
Day 13 | 0 | 0 | 0 | 0 | 17 | 0 | 0 | 0 | 0 |  | 11,12 | True
Day 14 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |  | 11,12 | True
Day 36 | 0 | 0 | 0 | 0 | 0 | 54 | 0 | 0 | 0 |  | 11,12 | True |  | Here is the end result we looking for
Day 37 | 0 | 0 | 0 | 0 | 17 | 0 | 0 | 0 | 0 |  | 11,12 | True
Day 38 | 0 | 0 | 0 | 72 | 0 | 0 | 0 | 0 | 0 |  | 11,12 | True
Day 62 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |  | 11,12 | True
Day 65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |  | 11,12 | True
Day 84 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |  | 11,12 | True
Day 103 | 0 | 0 | 0 | 0 | 17 | 0 | 0 | 0 | 0 |  | 11,12 | True
Day 104 | 44 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |  | 11,12 | True
Day 105 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 36 | 67 |  | 11,12 | True
Day 117 | 0 | 0 | 0 | 0 | 17 | 0 | 0 | 0 | 67 |  | 11,12 | True
Day 133 | 0 | 0 | 34 | 0 | 0 | 0 | 0 | 0 | 0 |  | 11,12 | True
Day 134 | 0 | 0 | 0 | 72 | 0 | 0 | 0 | 0 | 0 |  | 11,12 | True
Day 167 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |  | 11,12 | True
Day 187 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 0 | 0 |  | 11,12 | True
Spreadsheet: darrell_schoolcraft__7325__imball0202
Sheet: Agave

Agave imbalance
 | Measured | Scheduled | Imbalance
56339 | 743786 | 769530
78311 |  | 262600 |  |  |  |  |  |  |  | 2000-01-06 00:00:00 | paper | 0.5
500238 | 732382 | 857357 |  |  |  |  |  |  |  |  | lunch | 7.6
500239 | 851706 | 765343
500293 |  | 466370
500302 |  | 7269
500303 |  | 21505
500305 | 1131277 | 1211948
500307 |  | 46982
500313 |  | 2230
500314
500655 | 168654
500657 | 90713 | 46544
INDEX
2002-01-31 00:00:00 |  |  | 121616.94
2002-02-23 00:00:00
CBS Volume
 |  |  | 70652
Spreadsheet: 856585d1705778906-formula-to-determine-if-the-text-in-one-column-includes-text-present-in-another-column-book2
Sheet: Sheet1

Group# | Ids in group | Expected | result
1 | w37 | N
2 | w36, w34 | Y
3 | w05 | N
4 | 2338 | N
5 | w37, w39 | Y
6 | w40, w37, w41 | Y
7 | k23 | N
8 | 640 | N
ID | Failed
[NAME] | Y
w35 | N
w36 | Y
w37 | N
w38 | Y
w39 | Y
w40 | Y
w41 | N
Spreadsheet: 753823d1635778254-help-with-customized-recipe-list-that-filters-to-what-ingredients-you-have-on-hand-shopping-list-and-recipes
Sheet: CP Shredded Beef Enchiladas

Dish | Ingredient2 | Amount | Category | Notes:
[NAME] Shredded Beef Enchiladas | [NAME] | 2-3 lb | Meat
 | Onion | 1 large onion | Vegetable
 | [NAME] | 6 cloves | Vegetable
 | [NAME] | 15 oz can | Liquid Goods
 | Chili Powder | 1 tablespoon | Herbs and Spices
 | Cumin | 2 teaspoons | Herbs and Spices
 | [NAME] | lots | Herbs and Spices
 | Pepper | lots | Staple
 | [NAME] | 4 oz chopped | Vegetable
 | Tortillas | 10-12 corn tortillas | Bread
 | Cheese | 8 oz shredded | Dairy
 | [NAME] | 20 oz | Liquid Goods
 | Salsa | topping | Liquid Goods
 | Avocado | topping | Vegetable
 | Sour Cream | topping | Dairy
 | Cilantro | topping | Herbs and Spices
Spreadsheet: 877234d1723995806-organising-data-data-sample
Sheet: Sheet1

OrderID | Order Number | Part Number | Description | OnHand Qty | [NAME] | Pending | Customer | Order Date
11063 | VERBAL PHIL |  |  |  |  |  | FARMA JOHN | 2024-06-18 00:00:00
 |  | 6205ZZ | METAL SHEILDED DEEP GROOVE BALL BEARING 25x52x15mm | 16 | 1 | 0
 |  | 6206ZZ | METAL SHEILDED DEEP GROOVE BALL BEARING  30X62X16 | 9 | 1 | 0
11065 | WALK IN -DEAN |  |  |  |  |  | LIZZY'S LIFE | 2024-06-19 00:00:00
 |  | 537 RPP3-9 (537-3M-9) | ISORAN METRIC TIMING BELT | 0 | 4 | 0
11066 | VERBAL - IAN |  |  |  |  |  | SINGING SONGS | 2024-06-19 00:00:00
 |  | 4PJ610 | J SECTION POLY V BELT 4 RIBS | 0 | 2 | 0
11068 | P/253088 |  |  |  |  |  | BOAC | 2024-06-19 00:00:00
 |  | 51205 | THRUST BEARING 25x47x15mm | 0 | 30 | 0
 |  | 6430-56 | PVC SKIRT SLAT 610X20mm 6430-56 SKIRT BOTTOM | 0 | 500 | 0
 |  | MB1015DU | [NAME] 10x12x15mm | 5 | 15 | 0
OrderID | Order Number | Part Number | Description | OnHand Qty | [NAME] | Pending | Customer | Order Date
11063 | VERBAL PHIL | 6205ZZ | METAL SHEILDED DEEP GROOVE BALL BEARING 25x52x15mm | 16 | 1 | 0 | FARMA JOHN | 2024-06-18 00:00:00
11063 | VERBAL PHIL | 6206ZZ | METAL SHEILDED DEEP GROOVE BALL BEARING  30X62X16 | 9 | 1 | 0 | FARMA JOHN | 2024-06-18 00:00:00
11065 | WALK IN -DEAN | 537 RPP3-9 (537-3M-9) | ISORAN METRIC TIMING BELT | 0 | 4 | 0 | LIZZY'S LIFE | 2024-06-19 00:00:00
11066 | VERBAL - IAN | 4PJ610 | J SECTION POLY V BELT 4 RIBS | 0 | 2 | 0 | SINGING SONGS | 2024-06-19 00:00:00
11068 | P/253088 | 51205 | THRUST BEARING 25x47x15mm | 0 | 30 | 0 | BOAC | 2024-06-19 00:00:00
11068 | P/253088 | 6430-56 | PVC SKIRT SLAT 610X20mm 6430-56 SKIRT BOTTOM | 0 | 500 | 0 | BOAC | 2024-06-19 00:00:00
11068 | P/253088 | MB1015DU | [NAME] 10x12x15mm | 5 | 15 | 0 | BOAC | 2024-06-19 00:00:00
Spreadsheet: 133786d1324612721-doesnt-seem-right-from-previous-year-p-and-l2010help
Sheet: May

Profit and Loss Statement |  | Tax Year: |  | May
 |  | Monthly Summary | Total Income
 |  |  | Total Expense
Gross margin  [L/J]
Return on sales  [T/J] |  |  | Profit / (Loss)
Net Profit % Change from Prior Period
 | Prior Period | Current Period | Current Period as    % of Sales | % Change from Prior Period
Sales Revenue
Health Insurance
Medicare Advantage
Medicare Supplement
Life Insurance |  | 2900
Investment (Annuity)
Other
Total Sales Revenue  [J]
Cost of Sales
Specify
Total Cost of Sales  [K]
Gross Profit  [L=J-K]
Operating Expenses
Sales and Marketing
Advertising (Radio, TV, Print Media, etc)
Printing
Direct marketing
Seminar
Meals and Entertainment
Total Sales and Marketing Expenses  [M]
Research & Development
Licenses
Education
Total Research & Development Expenses  [N]
General and Adminstrative
Rent
Payroll
Utilities
Telephone
Health Insurance
E&O Insurance
Software
Web Hosting and domains
Postage
Office Supplies
Equipment
Repairs and maintenance
Other expenses (specify)
Auto (Tires, Fuel, Oil, Tolls, [NAME], etc)
Auto Mileage (IRS standard deduction; averaged) |  | 234
Total General & Adminstrative Expenses  [O]
Total Operating Expenses  [P=M+N+O]
Income from Operations  [Q=L-P]
Other Income (Bonuses) [R]
Taxes
Payroll Taxes
Property Taxes
Total Taxes  [S]
Net Profit  [T=Q+R-S]
Spreadsheet: 219549d1362781419-two-drop-down-lists-to-produce-in-two-other-columns-fruit-and-veggiechallenge
Sheet: Sheet1

Gender | Age | How much Fruits | How much Vegetables | Total consumption |  |  | Gender | Age | FruitsM | FruitsW | [NAME] | VeggiesW
Men | 19-30 | IF(A2="MEN",B2="19-30", C2=2Cups) |  |  |  |  | Men | 19-30 | 2Cups | 2Cups | 3Cups | 2 1/2Cups
 |  |  |  |  |  |  | Women | 31-50 | 2Cups | 1 1/2Cups | 3Cups | 2 1/2Cups
 |  |  |  |  |  |  |  | 50+ | 2Cups | 1 1/2Cups | 2 1/2Cups | 2Cups
Spreadsheet: 889450d1740242607-create-a-new-column-based-on-unique-prices-excel_dynamic_column_with_condition-aeimisgr-
Sheet: Φύλλο1

TEST1 | TEST2 |  | NEW COLUMN |  | Test 2 | Test 1
A | 10
B | 0
C | 20
D | 10
E | 0
A
B | 2
S | 4
S
Spreadsheet: 298486d1392819891-converting-data-table-into-summary-for-sales-performance-excel-help-answered
Sheet: Sheet1

Sum of Loan Amount2 | Column Labels
Row Labels | Approved | Declined | Funded | In review | Refused | Grand Total
Jake | 100 |  |  |  |  | 100
[NAME] | 125 |  |  |  |  | 125
[NAME] | 150 |  |  |  | 200 | 350
[NAME] |  |  | 390 |  |  | 390
[NAME] |  |  | 250 |  |  | 250
Grand Total | 375 |  | 640 |  | 200 | 1215
Spreadsheet: 682239d1591972053-place-value-in-column-based-on-age-bucket-aging-upload
Sheet: Rec

 |  |  |  |  |  |  |  |  |  |  |  |  | 2020-06-12 00:00:00
 |  |  |  |  |  |  |  | Posting Date |  | Adequate third party backup exists | Total Value (LC) |  | Aging (Posting date) |  |  |  | Days Aged (Resolution Date) |  | Action required to clear item | Actioned by (date) | Action Owner |  |  | ABS value
 |  |  |  |  |  |  |  |  |  |  |  |  | 0-30 days | 31-60 days | 61-90 days | 90 days +
 |  |  |  |  |  |  |  | 2020-01-02 00:00:00 |  | Yes | 1000 |  |  |  |  | 1000 | 119
 |  |  |  |  |  |  |  | 2020-03-31 00:00:00 |  | Yes | 2000 |  |  |  | 2000 |  | 30
 |  |  |  |  |  |  |  | 2020-02-14 00:00:00 |  |  | 3000 |  |  |  |  | 3000
 |  |  |  |  |  |  |  | 2020-05-01 00:00:00 |  |  | 4000 |  |  | 4000
 |  |  |  |  |  |  |  | 2020-06-01 00:00:00 |  |  | 5000 |  | 5000
 |  |  |  |  |  |  |  | 2020-06-01 00:00:00 |  |  | 10000 |  | 10000
 |  |  |  |  |  |  |  | 2020-02-15 00:00:00 |  |  | 2000 |  |  |  |  | 2000
Spreadsheet: 0e278826-3977-438d-81db-f3f422118928
Sheet: Старт

 | [NAME] асоціація легкої атлетики |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | European Athletics Association
 | [NAME] України |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Ukrainian Athletics Federation
 | [NAME] клуб Сергія Бубки |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Sergey Bubka Sports Club
 | Міжнародні змагання в приміщенні |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | International indoor meeting
 | «Samsung Зірки жердини» |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | "Samsung Pole vault stars"
 |  | Рекорд світу     5,06 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Ukraine
 |  | Рекорд світу прим. 5,02 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Donetsk |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Україна
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Донецьк
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 15 лютого
 | О | висоту взято |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2014 р.
 | Х | висоту не взято |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | початок | 14:30:00
 | - | пропуск спроби |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | [NAME]
ПРОТОКОЛ
 |  | ЖІНКИ/WOMEN
№ | № | Учасник | Країна |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | К-ть невд. | Результат | Місце | Рекорды
старт. |  | Competitor | Country |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | спроб | Result | Position | Records
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Failures
19 | 1 | ПЕНА Тори | IRL
20 | 2 | ШЕЛЕХ Анна | UKR
21 | 3 | ШТРУТС Мартина | GER
22 | 4 | ЛУТУ Марион | FRA
23 | 5 | САВЧЕНКО Анастасия | RUS
24 | 6 | КРАСНОВА [NAME] | RUS
25 | 7 | ХАТСОН Кайли | USA
26 | 8 | ФИАК Марион | FRA
27 | 9 | КИРИАКОПОЛУ Николета | GRE
28 | 10 | МЮРЕР Фабиана | BRA
29 | 11 | ШПИГЕЛЬБУРГ Силке | GER
30 | 12 | РОГОВСКА Анна | POL
 | [NAME] змагань |  | Manager |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Рефері |  |  |  |  | Referee
 | Секретар |  | Secretary |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Ст. [NAME] |  |  |  |  | Chief judge
Spreadsheet: 0e0e20ea-add7-4b3b-a928-eed636d82abe
Sheet: Sheet1

Crimes Against Society Incidents | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6
Offense Category
by Time of Day, 2011
Time of Day | Total Incidents1 | Offense Category
 |  | Drug/ Narcotic Offenses | Gambling Offenses | Pornography/ Obscene Material | Prostitution Offenses | Weapon Law Violations
Total | 633766 | 550343 | 1238 | 5791 | 10213 | 66181
Total A.M. hours | 214998 | 184767 | 295 | 2369 | 2247 | 25320
Midnight – 12:59 a.m. | 44355 | 38615 | 43 | 579 | 491 | 4627
1 a.m. – 1:59 a.m. | 32697 | 28471 | 27 | 76 | 252 | 3871
2 a.m. – 2:59 a.m. | 24402 | 21003 | 21 | 64 | 169 | 3145
3 a.m. – 3:59 a.m. | 14649 | 12556 | 9 | 35 | 111 | 1938
4 a.m. – 4:59 a.m. | 7849 | 6634 | 7 | 25 | 64 | 1119
5 a.m. – 5:59 a.m. | 4804 | 3949 | 8 | 36 | 47 | 764
6 a.m. – 6:59 a.m. | 4888 | 4010 | 9 | 85 | 56 | 728
7 a.m. – 7:59 a.m. | 7911 | 6577 | 13 | 138 | 89 | 1094
8 a.m. – 8:59 a.m. | 13580 | 11260 | 26 | 391 | 187 | 1716
9 a.m. – 9:59 a.m. | 16577 | 14117 | 39 | 333 | 219 | 1869
10 a.m. – 10:59 a.m. | 20449 | 17708 | 42 | 314 | 273 | 2112
11 a.m. – 11:59 a.m. | 22837 | 19867 | 51 | 293 | 289 | 2337
Total P.M. hours | 407594 | 355818 | 917 | 3121 | 7887 | 39851
Noon – 12:59 p.m. | 25293 | 21719 | 106 | 443 | 382 | 2643
1 p.m. – 1:59 p.m. | 26923 | 23396 | 64 | 380 | 485 | 2598
2 p.m. – 2:59 p.m. | 29998 | 26262 | 73 | 350 | 534 | 2779
3 p.m. – 3:59 p.m. | 31859 | 27880 | 68 | 403 | 504 | 3004
4 p.m. – 4:59 p.m. | 32913 | 29057 | 99 | 297 | 483 | 2977
5 p.m. – 5:59 p.m. | 32946 | 29043 | 70 | 239 | 605 | 2989
6 p.m. – 6:59 p.m. | 32905 | 28648 | 95 | 237 | 754 | 3171
7 p.m. – 7:59 p.m. | 34869 | 30443 | 101 | 181 | 778 | 3366
8 p.m. – 8:59 p.m. | 38125 | 33237 | 78 | 167 | 863 | 3780
9 p.m. – 9:59 p.m. | 39923 | 34708 | 70 | 160 | 918 | 4067
10 p.m. – 10:59 p.m. | 40879 | 35591 | 52 | 143 | 891 | 4202
11 p.m. – 11:59 p.m. | 40961 | 35834 | 41 | 121 | 690 | 4275
Unknown Time of Day | 11174 | 9758 | 26 | 301 | 79 | 1010
1NIBRS incidents may include more than one offense type.  The figures in this table represent the time of day for each appropriate offense type.
Spreadsheet: 330279d1404673150-extracting-names-from-a-column-to-another-sheet-based-on-criteria-dummy-workbook
Sheet: Sheet1

EMPLOYEE NAME |  |  |  | [NAME]
[NAME] |  |  |  | [NAME]
 |  |  |  | [NAME]
 |  |  |  | Sophia
TRAVEL/INC.PAY: |  |  |  | [NAME]
[NAME] |  |  |  | [NAME]
 |  |  |  | [NAME]
TRAVEL/INC.PAY:
[NAME]
TRAVEL/INC. PAY:
Sophia
TRAVEL/INC.PAY:
[NAME]
TRAVEL/INC.PAY:
TRAVEL/INC.PAY:
TRAVEL/INC.PAY:
TRAVEL/INC.PAY:
FOREMAN / SUPERVISOR
EMPLOYEE NAME
[NAME]
TRAVEL/INC.PAY:
TRAVEL/INC.PAY:
[NAME]
TRAVEL/INC. PAY:
[NAME]
TRAVEL/INC.PAY:
TRAVEL/INC.PAY:
Spreadsheet: michelle_lokay__26621__imbalsumm0102
Sheet: williams

 | La Maquina |  | Milagro |  | [NAME] |  | [NAME]
Day | Measured | Scheduled | Measured | Scheduled | Measured | Scheduled | Measured | Scheduled
1 | 334710 | 339430 | 67545 | 70147 | 44382 | 44890 | 165424 | 152641
2 | 234782 | 259819 | 87870 | 67797 | 30709 | 34191 | 121870 | 130584
3 | 326583 | 336985 | 74701 | 67075 | 39819 | 31890 | 165343 | 168246
4 | 339550 | 338460 | 42482 | 48418 | 41469 | 31612 | 144642 | 153213
5 | 349246 | 334305 | 50756 | 54026 | 67156 | 54143 | 142121 | 168899
6 | 337262 | 324264 | 36102 | 53490 | 64150 | 53026 | 153231 | 155563
7 | 332993 | 303628 | 42736 | 42944 | 50434 | 50798 | 105619 | 124843
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
2001-01-31 00:00:00 |  |  |  |  |  |  |  |  | -44637
2001-02-07 00:00:00
 |  |  | 516.78
 |  |  | 212.08
 |  |  | 58.33
 |  |  | 25
Spreadsheet: mary_fischer__25616__34L
Sheet: E5.XLS

ENRON CORP AND CONSOLIDATED SUBSIDIARIES
COMPANY # 034L
COMPANY NAME   Enron EES Acquisition I Corp
ANALYSIS OF GOODWILL
FOR THE PERIOD ENDING 6-30-2001
PREPARED BY:  [NAME]
EXTENSION: 5-2580 |  |  |  |  |  |  |  |  |  |  |  |  |  | E-5
 |  |  |  | 12-31-2000 Balance
 |  |  |  | BEGINNING |  |  |  |  |  |  |  |  |  | 12-31-2001
[NAME] OR ENTITY |  | AMORTIZATION |  | BALANCE |  |  |  |  |  | OTHER |  |  |  | BALANCE
 |  | PERIOD (Yrs.) |  | DR. (CR.) |  | ADDITIONS |  | AMORTIZATION** |  | AMOUNT |  | (DESCRIBE) |  | DR. (CR.)
(PROVIDE DETAIL OF INDIVIDUAL ITEMS
IN EXCESS OF $200,000.)
Acquisition of Pierce |  | 40 |  | 3700899 |  |  |  | -55404 |  | -172391.52 |  | To adjust GW offset is 860
 |  |  |  |  |  |  |  |  |  | 33289 |  | To adj AA offset is 860
Total Goodwill* |  |  |  |  |  |  |  |  | ** |  |  |  |  |  | *
* MUST TIE TO HYPERION ACCOUNT 0344 | Same signs as Hyperion
**MUST TIE TO HYPERION ACCOUNT 1418 | Reverse signs from Hyperion
Spreadsheet: 526100d1499114210-analyze-data-from-a-name-date-availability-sheet-analyse-and-compile-data
Sheet: Blad1

 |  | Date 1 | Date 2 | Date 3 | Date 4 | Date 5 | Date 6 | Date 7 | Date 8 | Date 9 | Date 10 |  | Desired data
 | Name 1 |  |  | x | x | x | x | x | x |  |  |  | Name 1, Date3 <> Date 8
 | Name 2 |  | x | x | x |  |  |  |  |  |  |  | Name 2, Date 2<> Date 4
 | Name 3 | x | x | x | x |  |  |  |  |  |  |  | Name 3, Date 1 <> Date 4
 | Name 4 |  |  | x | x | x |  |  |  |  |  |  | ... and so on
 | Name 5 |  | x | x | x | x | x
 | Name 6 | x | x | x | x | x | x
 | Name 7 |  |  | x | x
 | Name 8 | x | x | x
 | Name 9 |  | x | x | x | x
 | Name 10 |  |  |  | x | x | x
 | Name 11 | x | x | x
 | Name 12 |  |  | x | x | x | x | x | x | x | x
 | Name 13 |  |  |  |  | x | x | x | x | x
 | Name 14 |  | x | x | x | x
 | Name 15 |  |  | x | x | x | x | x | x | x
 |  | Count | First Column | nth Column
 | Name 1
 | Name 2
 | Name 3
 | Name 4
 | Name 5
 | Name 6
 | Name 7
 | Name 8
 | Name 9
 | Name 10
 | Name 11
 | Name 12
 | Name 13
 | Name 14
 | Name 15
Spreadsheet: 110398d1307060525-excel-2007-formula-for-columns-meeting-attendance
Sheet: Sheet1

 |  | Meeting 1 | Meeting 2 | Meeting 3 | Meeting 4 | Meeting 5 | Meeting 6 | Meeting 7 | Meeting 8 | Total Attendance
[NAME] | Blogs | Y | N | N
[NAME] | Hill | N | N | Y
[NAME] | Mountain | Y | N | N
Fred | Road | N | N | Y
Spreadsheet: chris_germany__2076__TW Compressor Gas 1_02
Sheet: April 2002

ECT - Enron Compressor Gas Sold to Richardson |  |  |  |  |  | contract 27789
Date | Nomed | Flowed
2002-04-01 00:00:00
 |  |  |  | UA4
total |  |  |  | Due to pipeline cuts
Spreadsheet: 676824d1589004454-choose-a-number-group-from-a-single-number-input-horizontal-lookup-without-helper-row-aligw
Sheet: Sheet1

 |  |  |  |  |  |  |  |  |  |  |  |  | 36 | Input single age 14 to 94 inclusive
 |  |  | 14-17 | 18-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65-74 | 75-84 | 85-94
 |  |  | Data | Data | Data | Data | Data | Data | Data | Data | Data |  |  | The formula will display the Age Group related to the Single Age input
 |  |  |  |  |  |  |  |  |  |  |  |  |  | Calculations from Selected Age Group data
 |  |  | Four Ages per Group | Seven Ages per Group |  |  |  | Ten Ages per Group
Spreadsheet: 703797d1605180566-formula-to-populate-result-based-on-2-cells-example
Sheet: Lookup

Country | Template | Result
Belgium | Key Visual Portrait | KV_Portrait_MASTER_Style_A.ai
Belgium | Key Visual Landscape | KV_Landscape_MASTER_Style_A.ai
Estonia | Key Visual Portrait | KV_Portrait_MASTER_Style_B.ai
Estonia | Key Visual Landscape | KV_Landscape_MASTER_Style_B.ai
France | Key Visual Portrait | KV_Portrait_MASTER_Style_A.ai
France | Key Visual Landscape | KV_Landscape_MASTER_Style_C.ai
Belgium
Estonia
France
Spreadsheet: 808924d1670768969-finding-average-for-last-5-10-games-closing-line-76ers-etaf
Sheet: Sheet1 (2)

Team = 76ers
Looking for formula to see when the 76ers are favorite or Underdog in the last 5 and 10 games, what the average closing line is
Favourite or Underdog | Closing Line
d | 2.5
d | 5
f | -13.5
f | -12.5
d | 1
d | 2.5
f | -2.5
f | -2.5
f | -5.5
f | -1
d | 1.5
d | 1
f | -2.5
f | -3.5
d | 1
d | 3.5
d | 7.5
d | 4
d | 1.5
f | -1
f | -2.5
d | 4
d | 4.5
f | -7.5
f | -5
 |  |  | average | fav or underd | last n games |  | average
Average Line Last 5 games 76ers were Favorites |  | <<<looking for formula |  | f | 5
Average Line Last 5 games 76ers were Underdogs |  | <<<looking for formula |  | d | 5
Average Line Last 5 games 76ers were Favorites |  | <<<looking for formula |  | f | 10
Average Line Last 5 games 76ers were Underdogs |  | <<<looking for formula |  | d | 10
Spreadsheet: 10bda956-0cad-4e43-9472-52998009ea9c
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11
 | Time Series Workbook
 | 5368.0 International Trade in Goods and Services, Australia
 | TABLE 2. GOODS AND SERVICES, Summary: Original, Current prices
Related Information: | Summary Publication | Explanatory Notes | Inquiries
Data Item Description |  |  | Series Type | Series ID | Series Start | Series End | No. Obs. | Unit | Data Type | [NAME]. | Collection Month
Balance on goods and services ; |  |  | Original | A2717903C | 1971-07-01 00:00:00 | 2012-07-01 00:00:00 | 493 | $ Millions | FLOW | Month | 1
Credits, Total goods and services ; |  |  | Original | A2717883F | 1971-07-01 00:00:00 | 2012-07-01 00:00:00 | 493 | $ Millions | FLOW | Month | 1
Credits, Total goods ; |  |  | Original | A2717881A | 1971-07-01 00:00:00 | 2012-07-01 00:00:00 | 493 | $ Millions | FLOW | Month | 1
Credits, Rural goods ; |  |  | Original | A2717884J | 1971-07-01 00:00:00 | 2012-07-01 00:00:00 | 493 | $ Millions | FLOW | Month | 1
Credits, Non-rural goods ; |  |  | Original | A2717931L | 1971-07-01 00:00:00 | 2012-07-01 00:00:00 | 493 | $ Millions | FLOW | Month | 1
Credits, Net exports of goods under merchanting ; |  |  | Original | A2718034F | 1971-07-01 00:00:00 | 2012-07-01 00:00:00 | 493 | $ Millions | FLOW | Month | 1
Credits, Non-monetary gold ; |  |  | Original | A2718037L | 1971-07-01 00:00:00 | 2012-07-01 00:00:00 | 493 | $ Millions | FLOW | Month | 1
Credits, Total services ; |  |  | Original | A2718332C | 1971-07-01 00:00:00 | 2012-07-01 00:00:00 | 493 | $ Millions | FLOW | Month | 1
Debits, Total goods and services ; |  |  | Original | A2717891F | 1971-07-01 00:00:00 | 2012-07-01 00:00:00 | 493 | $ Millions | FLOW | Month | 1
Debits, Total goods ; |  |  | Original | A2718054R | 1971-07-01 00:00:00 | 2012-07-01 00:00:00 | 493 | $ Millions | FLOW | Month | 1
Debits, Consumption goods ; |  |  | Original | A2718056V | 1971-07-01 00:00:00 | 2012-07-01 00:00:00 | 493 | $ Millions | FLOW | Month | 1
Debits, Capital goods ; |  |  | Original | A2718126R | 1971-07-01 00:00:00 | 2012-07-01 00:00:00 | 493 | $ Millions | FLOW | Month | 1
Debits, Intermediate and other merchandise goods ; |  |  | Original | A2718182J | 1971-07-01 00:00:00 | 2012-07-01 00:00:00 | 493 | $ Millions | FLOW | Month | 1
Debits, Non-monetary gold ; |  |  | Original | A2718320V | 1971-07-01 00:00:00 | 2012-07-01 00:00:00 | 493 | $ Millions | FLOW | Month | 1
Debits, Total services ; |  |  | Original | A2718454A | 1971-07-01 00:00:00 | 2012-07-01 00:00:00 | 493 | $ Millions | FLOW | Month | 1
© Commonwealth of Australia  2012