tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 870065d1716569262-dynamically-copy-filter-rows-to-another-sheet-based-on-multiple-criteria-dynamically-copyfilter-rows-to-another-sheet-based-on-multiple-criteria
Sheet: RAW DATA

PROJECT | FLOOR | RC | UNIT TYPE | TOT SF CEILING | TOT SF | 12 C | 12X | 10X | 9X | 9MR | 8TILE | 8SOFF | UNIT | HANGERS $/SF | HANGERS | HANGERS PAY | HANGERS PAID | FINISHER $/SF | FINISHER | FINISHER PAY | FINISHER PAID | TEXTURE $/SF | TEXTURE | TEXTURE PAY | TEXTURE PAID
Building # 2 (24) | 1 FLOOR | 1 | B1 | 1090 | 4550 | 23 |  |  | 80 | 9 | 6 | 2 | 2101 | 0.15 | [NAME] | 683 | Green | 0.15 | raymundo pascual | 654 | Green | 0.05 | [NAME] | 215 | Green
Building # 2 (24) | 2 FLOOR |  | A2 | 702 | 2878 | 15 |  |  | 50 | 6 | 3 | 2 | 2204 | 0.15 | [NAME] | 432 | Red | 0.15 | raymundo pascual | 417 | Red | 0.05 | [NAME] | 136 | Red
Building # 2 (24) | 2 FLOOR |  | A2 | 702 | 2878 | 15 |  |  | 50 | 6 | 3 | 2 | 2205 | 0.15 | [NAME] | 432 | Green | 0.15 | [NAME] | 417 | Green | 0.05 | [NAME] | 136 | Green
Building # 2 (24) | 2 FLOOR |  | A4 | 766 | 2942 | 16 |  |  | 50 | 6 | 3 | 2 | 2206 | 0.15 | [NAME] | 441 | Red | 0.15 | [NAME] | 427 | Red | 0.05 | [NAME] | 139 | Red
Building # 2 (24) | 2 FLOOR | 1 | A5 | 777 | 2878 | 15 |  |  | 50 | 6 | 3 | 2 | 2205 | 0.15 | [NAME] | 555 | Green | 0.15 | [NAME] | 417 | Red | 0.05 | [NAME] | 136 | Red
Building # 2 (24) | 3 FLOOR | 1 | A4 | 766 | 2942 | 16 |  |  | 50 | 6 | 3 | 2 | 2303 | 0.15 | [NAME] | 441 | Green | 0.15 | raymundo pascual | 427 | Green | 0.05 | [NAME] | 139 | Green
Building # 2 (24) | 3 FLOOR | 1 | A2 | 702 | 2878 | 15 |  |  | 50 | 6 | 3 | 2 | 2304 | 0.15 | [NAME] | 432 | Red | 0.15 | raymundo pascual | 417 | Red | 0.05 | [NAME] | 136 | Red
WHAT IS NEEDED:
THIS SHEET IS MEANT TO HAVE DATA CLEARED OUT OF IT AND PASTED INTO IT MANUALLY BY THE USER AS NEEDED.
IN REGULAR USE THE ENTIRE SHEET WILL BE CLEARED OF ALL EXISTING DATA AND REPLACED WITH A NEW DATASET INCLUDING THE HEADERS
THE WORKING RANGE OF THIS SHEET WILL BE $A$1:$AZ$10000
THE DATA WILL ALWAYS HAVE HEADERS IN ROW 1
THE ENTIRE USEABLE RANGE WILL NOT ALWAYS BE UTILIZED AS SHOWN ABOVE
THE ONLY HEADERS THAT WILL STAY CONSISTENT BETWEEN DATA SETS WILL BE THE ONES HIGHLIGHTED IN YELLOW ABOVE
HEADERS WILL NOT ALWAYS APPEAR IN THE SAME COLUMN AS SHOWN ABOVE. FOR EXAMPLE HEADER 'HANGERS' MAY BE IN COLUMN S  THE NEXT TIME A NEW DATASET IS PASTED INTO THIS SHEET
Spreadsheet: eb76c2e2-fb3b-4720-9d72-c03a95ca4507
Sheet: 21

 |  | Gross Notional Outstanding
Product Type |  | Cleared** | Uncleared
Total Metals* | Exotic
 | Option
 | Spot/Forward
 | Swap
Total Energy | Exotic
 | Option
 | Spot/Forward
 | Swap
Total Agricultural | Exotic
 | Option
 | Spot/Forward
 | Swap
Total Index | Exotic
 | Option
 | Spot/Forward
 | Swap
Total Other*** | Exotic
 | Option
 | Spot/Forward
 | Swap
TOTAL |  | N/A**** | N/A
Estimated gross notional amount outstanding, February 15 weekly snapshot, by product type and cleared status (millions of USD), all participant types, tenors, and currencies.
Total(s) may be less than total shown for this asset class in the All Swaps reports and/or other CFTC Swaps Report tables if products were excluded from this table that (a) presented disclosure risk or (b) did not belong in the categories shown. See Explanatory Notes for more detail.
*See Data Dictionary for product descriptions.
**See Explanatory Notes for cleared and uncleared descriptions.
***Environment, Freight, Multi-Commodity Exotic
****N/A indicates that data are not currently available.
The Commission requests feedback on the format and content of this CFTC Swaps Report table. Submit comments to [EMAIL].
Spreadsheet: 97723d1296828576-making-a-chart-rti-_checklist-_phoneme-1-
Sheet: Table

 | Student C | Student A | Student B | Student C | Student A | Student B | Student C | Student A | Student B | Student C | Student A | Student B | Student C | Student A | Student B | Student C | Student A | Student B
Date | Phonetic spelling (0-5) |  |  | Sight Words  (#/10 words) |  |  | Student able to reread (0-1) |  |  | Teacher able to read (0-1) |  |  | Reversals (#[NAME]) |  |  | Phoneme Manipulation  (#/6)
 | 0-none,                                   1 <10%,                                  2-<25%,                                         3- <50%,                               4- <75%,                               5- <100% |  |  | # of sight words used correctly out of the first 10 sight words in writing |  |  | 0- no                                      1-yes |  |  | 0- no                                     1-yes |  |  | # of reversals out of first 10 words |  |  | Independent Assessment
2010-09-03 00:00:00 | 0 | 3 | 2 | 3 | 2 | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 10 | 5 | 5 | 3 | 4 | 5
2011-09-10 00:00:00 | 1 | 3 | 2 | 5 | 5 | 5 | 0 | 1 | 1 | 0 | 1 | 1 | 10 | 3 | 5 | 3 | 5 | 5
2011-09-17 00:00:00 | 1 | 3 | 2 | 7 | 6 | 7 | 0 | 1 | 1 | 1 | 1 | 1 | 10 | 5 | 3 | 6 | 6 | 6
2011-09-24 00:00:00 | 2 | 3 | 4 | 5 | 8 | 6 | 1 | 1 | 1 | 0 | 1 | 1 | 3 | 3 | 3 | 4 | 6 | 6
2011-10-01 00:00:00 | 3 | 4 | 4 | 4 | 4 | 10 | 0 | 1 | 1 | 1 | 1 | 1 | 4 | 2 | 4 | 2 | 5 | 6
2011-10-08 00:00:00 | 4 | 4 | 4 | 6 | 8 | 10 | 1 | 1 | 1 | 1 | 1 | 1 | 6 | 1 | 0 | 4 | 5 | 5
2011-10-15 00:00:00 | 3 | 5 | 4 | 5 | 9 | 7 | 0 | 1 | 1 | 0 | 1 | 1 | 8 | 2 | 0 | 5 | 6 | 5
2011-10-22 00:00:00 | 3 | 4 | 5 | 5 | 10 | 10 | 0 | 1 | 1 | 1 | 1 | 1 | 3 | 2 | 0 | 3 | 5 | 6
2011-10-29 00:00:00 | 3 | 4 | 5 | 3 | 8 | 9 | 1 | 1 | 1 | 1 | 1 | 1 | 5 | 1 | 1 | 4 | 6 | 6
Standard | 5 | 5 | 5 | 10/10 | 10/10 | 10/10 | 1 | 1 | 1 | 1 | 1 | 1 | 10/10 | 10/10 | 10/10 | 6/6 | 6/6 | 6/6
Average
Spreadsheet: 175878d1345662354-how-to-define-an-array-given-row-and-column-numbers-2012-08-22-mrexcel2
Sheet: Blad2

A1 | B1 | C1 | D1 | E1
A2 | B2 | C2 | D2 | E2
A3 | B3 | [NAME] | D3 | E3
A4 | B4 | C4 | D4 | E4
Spreadsheet: a6b073fa-d925-4f56-9e52-59324a4e9aff
Sheet: Sheet1

PRESIDENTIAL PRIMARY | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9
1996-02-20 00:00:00
Names on Checklist
Cheshire County | Republican | Democratic | Libertarian | Undeclared | Total |  | Code A | Code B | Code C
Alstead | 375 | 345 | 1 | 314 | 1035 |  | 32 | 61 | 65
Chesterfield | 892 | 590 | 4 | 420 | 1906 |  | 57 | 180 | 77
Dublin | 409 | 264 | 0 | 378 | 1051 |  | 46 | 81 | 81
[NAME] | 519 | 219 | 5 | 629 | 1372 |  | 25 | 198 | 149
Gilsum | 155 | 136 | 5 | 95 | 391 |  | 10 | 28 | 32
Harrisville | 222 | 231 | 1 | 201 | 655 |  | 26 | 99 | 91
Hinsdale | 758 | 748 | 1 | 607 | 2114 |  | 40 | 82 | 33
[NAME] | 1196 | 897 | 8 | 905 | 3006 |  | 79 | 207 | 142
[NAME] | 822 | 1078 | 2 | 656 | 2558 |  | 221 | 157 | 143
[NAME] | 902 | 1210 | 10 | 601 | 2723 |  | 157 | 156 | 141
[NAME] 3 | 1009 | 1026 | 10 | 733 | 2778 |  | 124 | 205 | 222
[NAME] | 1182 | 989 | 4 | 537 | 2712 |  | 140 | 168 | 132
[NAME] | 1165 | 1057 | 9 | 647 | 2878 |  | 162 | 214 | 204
Marlborough | 423 | 396 | 6 | 337 | 1162 |  | 56 | 93 | 36
Marlow | 175 | 129 | 7 | 82 | 393 |  | 10 | 29 | 28
[NAME] | 163 | 189 | 2 | 81 | 435 |  | 19 | 44 | 23
Richmond | 267 | 161 | 6 | 139 | 573 |  | 16 | 75 | 61
Rindge | 809 | 325 | 6 | 1267 | 2407 |  | 114 | 444 | 295
Roxbury | 44 | 61 | 0 | 47 | 152 |  | 1 | 21 | 10
Stoddard | 243 | 170 | 4 | 143 | 560 |  | 21 | 78 | 68
[NAME] | 162 | 128 | 7 | 87 | 384 |  | 10 | 30 | 22
[NAME] | 219 | 149 | 0 | 82 | 450 |  | 5 | 39 | 19
Swanzey | 1209 | 974 | 5 | 1052 | 3240 |  | 147 | 346 | 152
Troy | 327 | 374 | 3 | 393 | 1097 |  | 44 | 100 | 92
Walpole | 1078 | 766 | 2 | 826 | 2672 |  | 39 | 236 | 169
Westmoreland | 463 | 241 | 4 | 216 | 924 |  | 26 | 122 | 75
Winchester | 530 | 597 | 4 | 582 | 1713 |  | 47 | 117 | 68
Totals | 15718 | 13450 | 116 | 12057 | 41341 |  | 1674 | 3610 | 2630
Code A: Number of persons who registered to vote at the polling place on Presidential Primary Election Day.
Code B: Number of undeclared voters voting on Presidential Primary Election Day.
Code C: Number of undeclared voters voting on Presidential Primary Election day who returned to
undeclared status before leaving the polling place.
Spreadsheet: 693153d1598809938-conditional-formatting-duplicates-but-with-conditions-reopened-example
Sheet: Escalations

[NAME] | Restaurant | ID | Original Action | Actual Action | Intake Agent | Notes |  |  | Total
 | C12 |  |  | Non-Escalation |  |  |  | 911
 | C12 |  |  | Non-Escalation |  |  |  | Escalation
 | C12 |  |  | Non-Escalation |  |  |  | Non-Escalation
 | C12 |  |  |  |  |  |  | Verbal Negative
 |  |  |  |  |  |  |  | More Info
 |  |  |  |  |  |  |  | High [NAME] |  |  |  |  |  | Restaurant Key:
 |  |  |  |  |  |  |  | 1) Immediate positive test results (when we have them or have confirmed). |  |  |  |  |  | If Cell is RED then it is a High Alert Restaurant
 |  |  |  |  |  |  |  | 2) Outbreak potential situations (multiple CMs impacted).
 |  |  |  |  |  |  |  |  |  |  |  |  |  | If Cell is ORANGE then it is a California Restaurant (Overrided by HARs)
 |  |  |  |  |  |  |  | 3) COVID-related Hospitalizations of any kind.
 |  |  |  |  |  |  |  | 4) Multiple CMs that are testing. |  |  |  |  |  | If cell is YELLOW then the Restaurant has multiple cases (Overrided by HARs/CA)
 |  |  |  |  |  |  |  | High Alert / CA Locations |  | Total Occurances
 |  |  |  |  |  |  |  | Location # | Case count
 |  |  |  |  |  |  |  | C051
 |  |  |  |  |  |  |  | C200
 |  |  |  |  |  |  |  | C287
 |  |  |  |  |  |  |  | C324
 |  |  |  |  |  |  |  | C338
 |  |  |  |  |  |  |  | C446
 |  |  |  |  |  |  |  | C189
 |  |  |  |  |  |  |  | C190
 |  |  |  |  |  |  |  | C200
 |  |  |  |  |  |  |  | C206
 |  |  |  |  |  |  |  | C211
 |  |  |  |  |  |  |  | C272
 |  |  |  |  |  |  |  | C281
 |  |  |  |  |  |  |  | C282
 |  |  |  |  |  |  |  | C292
 |  |  |  |  |  |  |  | C300
 |  |  |  |  |  |  |  | C320
 |  |  |  |  |  |  |  | C321
 |  |  |  |  |  |  |  | C331
 |  |  |  |  |  |  |  | C327
 |  |  |  |  |  |  |  | C329
 |  |  |  |  |  |  |  | C330
 |  |  |  |  |  |  |  | C332
 |  |  |  |  |  |  |  | C337
 |  |  |  |  |  |  |  | C338
 |  |  |  |  |  |  |  | C349
 |  |  |  |  |  |  |  | C357
 |  |  |  |  |  |  |  | C358
 |  |  |  |  |  |  |  | C365
 |  |  |  |  |  |  |  | C366
 |  |  |  |  |  |  |  | C373
 |  |  |  |  |  |  |  | C380
 |  |  |  |  |  |  |  | C384
 |  |  |  |  |  |  |  | C389
 |  |  |  |  |  |  |  | C390
Spreadsheet: 109023d1305922548-countif-max-if-sumif-with-date-example
Sheet: Days Out Summary

FY11
 | Type of Work Order | Total Number of Work Orders | Average Total Days Open | Average Days Open In Last 6 Months | Max Days Open | Min Days Open
Total | Closed | 313 | 38.87859424920128 |  | 169 | 0
Total | Open | 76 | 60.97368421052632 |  | 213 | 1
District | Type of Work Order |  | Average Total Days Open | Average Days Open In Last 6 Months | Max Days Open | Min Days Open
1 | Closed |  | 31.88401253918495
 | Open |  | 11.8307210031348
2 | Closed |  | 28.54285714285714
 | Open |  | 12.28571428571429
Commander | Type of Work Order |  | Average Total Days Open | Average Days Open In Last 6 Months | Max Days Open | Min Days Open
Beach | Closed |  | 36.0078431372549
 | Open |  | 13.54509803921569
Buschy | Closed |  | 23.2962962962963
 | Open |  | 2.666666666666667
[NAME] | Closed |  | 23.89473684210526
 | Open |  | 14.1578947368421
Osborne | Closed |  | 28.97142857142857
 | Open |  | 16.45714285714286
Feeney | Closed |  | 11.88888888888889
 | Open |  | 1.133333333333333
Wilmore | Closed |  | 44.375
 | Open |  | 26.5
System Type | Type of Work Order |  | Average Total Days Open | Average Days Open In Last 6 Months | Max Days Open | Min Days Open
Access Control | Closed |  | 83.14285714285714
 | Open |  | 0
Alarm | Closed |  | 33.66326530612245
 | Open |  | 10.60884353741497
Barrier | Closed |  | 57
 | Open |  | 0
CCTV | Closed |  | 20.92
 | Open |  | 12.94
Comms | Closed |  | 26
 | Open |  | 0
GSA | Closed |  | 11.5
 | Open |  | 20.63333333333333
Metal Detector | Closed |  | 51.5
 | Open |  | 0
[NAME] | Closed |  | 28.25
 | Open |  | 62.25
Spreadsheet: 024d343d-f5b7-447d-8f19-0e5129b0dbc9
Sheet: Sheet1

LEGAL SERVICES TRUST FUND PROGRAM | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7
BUDGET REVISION
 |  |  | Grant Year: |  | Fund:
 | 1. | Program Name:
 | 2. | Budget Prepared By: |  |  | Telephone #:
 |  | E-mail:
 | 3. | County: |  |  |  | Allocation:
 | ACCOUNT TITLE |  |  | CURRENT APPROVED BUDGET (TOTAL) | REVISED PROPOSED BUDGET
 |  |  |  |  | PROGRAM | ADMIN. | TOTAL
 | PERSONNEL
 | 4. | Lawyers |  |  |  |  | 0
 | 5. | Paralegals |  |  |  |  | 0
 | 6. | Other Staff |  |  |  |  | 0
 | 7. | SUBTOTAL |  | 0 | 0 | 0 | 0
 | 8. | Employee Benefits |  |  |  |  | 0
 | 9. | TOTAL PERSONNEL |  | 0 | 0 | 0 | 0
 | NON-PERSONNEL
 | 10. | Space |  |  |  |  | 0
 | 11. | Equipment Rental & Maintenance |  |  |  |  | 0
 | 12. | Supplies, Printing & Postage |  |  |  |  | 0
 | 13. | Telecommunications |  |  |  |  | 0
 | 14. | Program Travel |  |  |  |  | 0
 | 15. | Training |  |  |  |  | 0
 | 16. | Library |  |  |  |  | 0
 | 17. | Insurance |  |  |  |  | 0
 | 18. | Audit |  |  |  |  | 0
 | 19. | Litigation |  |  |  |  | 0
 | 20. | Capital Additions |  |  |  |  | 0
 | 21. | Contract Service/Clients |  |  |  |  | 0
 | 22. | Contract Service/Organization |  |  |  |  | 0
 | 23. | Other |  |  |  |  | 0
 | 24. | TOTAL NON-PERSONNEL |  | 0 | 0 | 0 | 0
 | 25. | RESERVED FUNDS |  |  |  |  | 0
 | 26. | GRAND TOTAL |  | 0 | 0 | 0 | 0
 | 27. | % Personnel: |  | +     % Non-Personnel: |  |  | =   100%
 | 28. | % Program: |  | +     % Administration: |  |  | =   100%
 | 29. | Approved:
 |  |  | (Program Director's signature)
 | *Budget Narrative Required. Explain any proposed line item reallocations.
Spreadsheet: 871336d1717719114-sum-value-by-both-month-and-category-from-respective-monthly-worksheet-sum-by-month-from-specific-worksheet3
Sheet: Variances Feb

 |  | Category | Value
 |  | Apples | 35
 |  | Pears | 4
 |  | Oranges | 5
 |  | Peanuts | 3
 |  | Pears | 9
 |  | Nuts | 1
 |  | Ananas | 3
 |  | Honey | 4
 |  | Apples | 5
 |  | Oranges | 7
 |  | Oranges | 3
 |  | Honey | 5
 |  | Peanuts | 5
 |  | Apples | 8
 |  | Oranges | 119
 |  | Pears | 57
Spreadsheet: 356407d1415103793-over-under-2-5-goals-book1
Sheet: Sheet3

E2 | 2014-08-16 00:00:00 | Scunthorpe | Preston | 0 | 4 | A
E2 | 2014-08-09 00:00:00 | Preston | Notts County | 1 | 1 | D
E2 | 2014-08-19 00:00:00 | Doncaster | Preston | 1 | 1 | D
E2 | 2014-08-23 00:00:00 | Preston | Oldham | 1 | 0 | H
E2 | 2014-08-30 00:00:00 | Preston | Sheffield United | 1 | 1 | D
E2 | 2014-09-13 00:00:00 | Walsall | Preston | 3 | 1 | H
E2 | 2014-09-16 00:00:00 | Preston | Chesterfield | 3 | 3 | D
E2 | 2014-09-20 00:00:00 | Preston | Crawley Town | 2 | 0 | H
E2 | 2014-09-27 00:00:00 | Coventry | Preston | 0 | 2 | A
E2 | 2014-10-04 00:00:00 | Preston | Colchester | 4 | 2 | H
E2 | 2014-10-18 00:00:00 | Preston | Port Vale | 2 | 0 | H
E2 | 2014-10-21 00:00:00 | [NAME] | Preston | 0 | 1 | A
E2 | 2014-10-25 00:00:00 | Preston | Fleetwood Town | 3 | 2 | H
Spreadsheet: 772296d1647187247-if-function-too-many-arguments-feature-valuation
Sheet: valueList

Usage | Monetization | % of Users | % users that renew
High | Positive | 0 | 60
Low | Negative | 10 | 65
 |  | 20 | 70
 |  | 30 | 75
 |  | 40 | 80
 |  | 50 | 85
 |  | 60 | 90
 |  | 70 | 95
 |  | 80 | 100
 |  | 90
 |  | 100
Spreadsheet: 66045d1266679729-making-a-word-or-phrase-in-one-worksheet-do-a-function-on-a-different-worksheet-master
Sheet: Sat

Technican | ACCT# | Address | Zip | Install Date | Service call date | Days old | Reason for T/C | Resolution
Spreadsheet: 778560d1651155480-average-data-to-transfer-from-one-cell-to-another-book1
Sheet: Sheet1

Date | Number
2021-02-04 00:00:00 | 12 |  |  | 2021-01-01 00:00:00 | 34
2021-02-05 00:00:00 | 12 |  |  | 2021-02-01 00:00:00 | 12
2021-02-06 00:00:00 | 12 |  |  | 2021-03-01 00:00:00 | 22
2021-03-07 00:00:00 | 22
2021-02-08 00:00:00 | 12
2021-02-09 00:00:00 | 12
2021-02-10 00:00:00 | 12
2021-02-11 00:00:00 | 12
2021-01-04 00:00:00 | 34
2021-01-05 00:00:00 | 34
2021-01-06 00:00:00 | 34
2021-01-07 00:00:00 | 34
2021-01-08 00:00:00 | 34
2021-01-09 00:00:00 | 34
2021-01-10 00:00:00 | 34
2021-01-11 00:00:00 | 34
Spreadsheet: 194310d1353099691-how-to-separate-a-single-column-of-text-cells-and-date-cells-complete-example
Sheet: Example of Goal

[NAME] of Tst score | Column Labels
Row Labels | 710 | 720 | 730 | 5710 | 5720 | 5730 | Max 710 & 5710 | Max 720 & 5720 | Max 730 & 5730 | Highest Cumulative Score
2
2005-02-05 00:00:00 |  |  |  | 178 | 174 | 182
3
2003-04-26 00:00:00 | 176 | 173 | 175
4
2004-08-16 00:00:00 |  |  |  | 169
2004-12-10 00:00:00 |  |  |  | 176
7
2005-08-01 00:00:00 |  |  |  | 166 | 167 | 165
10
2005-04-16 00:00:00 | 173 | 170 | 171
11 |  |  |  |  |  |  |  |  |  | Total of 11 [NAME] scores i.e ( 176+172+175) = 523
2005-07-15 00:00:00 |  |  |  | 164 | 172 | 175
2005-08-18 00:00:00 |  |  |  | 176
2005-08-19 00:00:00 |  |  |  |  | 171
12
2004-12-31 00:00:00 |  |  |  | 168 | 165 | 175
2005-07-21 00:00:00 |  |  |  | 168
2005-07-27 00:00:00 |  |  |  |  | 168
15
2005-04-11 00:00:00 |  |  |  | 169 | 172 | 171
16
2005-06-03 00:00:00 |  |  |  | 165 | 170
2005-08-08 00:00:00 |  |  |  |  | 173
2005-10-31 00:00:00 |  |  |  | 167
17
2005-08-12 00:00:00 |  |  |  | 177
18
2005-08-12 00:00:00 |  |  |  |  | 175
19
2005-08-12 00:00:00 |  |  |  |  |  | 183
20
2005-11-11 00:00:00 |  |  |  | 183 | 174 | 172
22
2003-06-28 00:00:00 | 171 | 169 | 173
23
2005-11-19 00:00:00 |  | 172
25
2005-07-14 00:00:00 |  |  |  | 174 | 171 | 178
2005-08-01 00:00:00 |  |  |  | 177
2005-08-02 00:00:00 |  |  |  |  | 171
2005-09-07 00:00:00 |  |  |  |  | 175
26
2005-06-11 00:00:00 | 171 | 178 | 177
27
2005-05-19 00:00:00 |  |  |  |  | 169
30
2005-04-16 00:00:00 |  |  | 175
32
2005-09-15 00:00:00 |  |  |  | 175 | 175 | 177
2005-11-19 00:00:00 | 176
33
2005-06-11 00:00:00 | 164 | 173 | 171
2005-11-19 00:00:00 |  |  |  | 174 |  | 174
Spreadsheet: 847921d1698764770-summarize-data-on-multiple-sheets-to-one-sheet-corrected-sample
Sheet: Vegetable Delivery

Date | Name | Qty | Price | Amount |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Name | QTY | PRICE | AMOUNT
2023-10-01 00:00:00 | Lettuce | 30 | 2
2023-10-02 00:00:00
2023-10-03 00:00:00
2023-10-04 00:00:00
2023-10-05 00:00:00 | Eggplant | 25 | 3
2023-10-06 00:00:00
2023-10-07 00:00:00
2023-10-08 00:00:00 | Cabbage | 30 | 2
2023-10-09 00:00:00
2023-10-10 00:00:00
2023-10-11 00:00:00
2023-10-12 00:00:00
2023-10-13 00:00:00
2023-10-14 00:00:00
2023-10-15 00:00:00
2023-10-16 00:00:00
2023-10-17 00:00:00
2023-10-18 00:00:00
2023-10-19 00:00:00
2023-10-20 00:00:00
2023-10-21 00:00:00
2023-10-22 00:00:00
2023-10-23 00:00:00
2023-10-24 00:00:00
2023-10-25 00:00:00
2023-10-26 00:00:00
2023-10-27 00:00:00
2023-10-28 00:00:00
2023-10-29 00:00:00
2023-10-30 00:00:00
2023-10-31 00:00:00
Spreadsheet: 5aee4355-2722-48c4-9c47-51f9c2f78f8e
Sheet: SEG1

 | ADVANCED MICRO DEVICES, INC.
 | SELECTED CORPORATE DATA
 | (Millions except headcount)
 |  |  | Quarter Ended |  |  |  |  |  |  |  |  |  | Six Months Ended
 |  |  |  | Jul. 2, |  |  | Apr. 2, |  |  | [NAME], |  |  |  | Jul. 2, |  |  | [NAME],
 | Segment and Category Information |  |  | 2011 |  |  | 2011 |  |  | 2010 |  |  |  | 2011 |  |  | 2010
 | [NAME] (1)
 |  | Net revenue |  | 1207 |  |  | 1200 |  |  | 1212 |  |  |  | 2407 |  |  | 2372
 |  | Operating income |  | 142 |  |  | 100 |  |  | 128 |  |  |  | 242 |  |  | 274
 | Graphics (2)
 |  | Net revenue |  | 367 |  |  | 413 |  |  | 440 |  |  |  | 780 |  |  | 849
 |  | Operating income (loss) |  | -7 |  |  | 19 |  |  | 33 |  |  |  | 12 |  |  | 80
 | All Other (3)
 |  | Net revenue |  | 0 |  |  | 0 |  |  | 1 |  |  |  | 0 |  |  | 6
 |  | Operating loss |  | -30 |  |  | -65 |  |  | -36 |  |  |  | -95 |  |  | -47
 | Total
 |  | Net revenue |  | 1574 |  |  | 1613 |  |  | 1653 |  |  |  | 3187 |  |  | 3227
 |  | Operating income |  | 105 |  |  | 54 |  |  | 125 |  |  |  | 159 |  |  | 307
 | Other Data
 |  | Depreciation and amortization
 |  | (excluding amortization of acquired intangible assets) |  | 71 |  |  | 79 |  |  | 83 |  |  |  | 150 |  |  | 166
 |  | Capital additions |  | 67 |  |  | 38 |  |  | 31 |  |  |  | 105 |  |  | 79
 |  | Adjusted EBITDA (4) |  | 205 |  |  | 198 |  |  | 244 |  |  |  | 403 |  |  | 546
 |  | Cash, cash equivalents and marketable securities |  | 1861 |  |  | 1745 |  |  | 1896 |  |  |  | 1861 |  |  | 1896
 |  | Adjusted free cash flow (5) |  | 143 |  |  | 154 |  |  | 76 |  |  |  | 297 |  |  | 253
 |  | Total assets |  | 5224 |  |  | 5209 |  |  | 4955 |  |  |  | 5224 |  |  | 4955
 |  | Long-term debt and capital lease obligations |  | 2199 |  |  | 2196 |  |  | 2421 |  |  |  | 2199 |  |  | 2421
 |  | Headcount |  | 11599 |  |  | 11256 |  |  | 10649 |  |  |  | 11599 |  |  | 10649
 | See footnotes on the next page
Spreadsheet: 26dd5b21-b515-4135-9951-21d7a457f66c
Sheet: Sheet1

PROG ID | ATHLETE ID | ATHLETE FIRST | ATHLETE LAST | NATIONALITY | START NUMBER | SNOWSHOE | T1 | SKATE | T2 | SKI | POSITION | TOTAL TIME
8905 | 11676 | [NAME] | Rozhkov | RUS | 268 | 00:23:45 | 00:00:33 | 00:41:47 | 00:02:45 | 00:24:30 | 1 | 01:33:20
Spreadsheet: 766707d1644005995-move-data-up-if-blank-or-move-to-next-row-and-retrieve-requested-data-sample
Sheet: Han

Name | Gender | [NAME]
 |  |  |  |  | Han Bloodline
Spreadsheet: 526203d1499183593-search-and-sum-if-equal-stock
Sheet: ABESP

Codice Articolo magazzino 1 | Giacenza | codice articolo magazzino 2 | giacenza
F1020NNIB19WSX | 2 | F6550NIBM15EGX | 32
F1020NNMB19WSX | 2 | F6550NIBM25EEGX | 8 |  |  |  | 2
F1020NNSI19WSX | 2 | F6550NIBM40CH2X
F1020VHBM19WSX | 4 | F6550NISI15EGX | 26
F1020VHIR19WSX | 2 | F6550NISI25EEGX
F1020VHSI19WSX | 2 | F6550NISI25EEGY
F1020XMGB40IZX | 4 | F6550NISI40CH2X
F1020XMQM40IZX | 4 | F7060NIBM15EGX | 2
F1020XMSI40IZX | 6 | F7060NIBM25EEGX | 1
F1021XMGB40IZX | 2 | F7060NIBM40CH2X | 19
F1021XMQM40IZX | 4 | F7060NIBM45CH3X | 1
F1021XMSI40IZX | 2 | F7060NISI15EGX | 22
F1120NNIB68KY6 | 2 | F7060NISI25EEGX | 44
F1120XMGB37IZ2X | 6 | F7060NISI25EEGY
F1120XMQM37IZ2X | 2 | F7060NISI40CH2X | 6
F1120XMSI37IZ2X | 4 | F7060NISI45CH3X | 5
F1180NNIB50KY3 | 2 | F7070NIBM25EEGX | 14
F1520XEIB35IZ | 1 | F7070NIBM40CH2X | 3
F1521XMGB38IZX | 2 | F7070NIBM45CH3X | 4
F1521XMQM38IZX | 4 | F7070NISI25EEGX
F1521XMQM38WS2X | 6 | F7070NISI25EEGY
F1521XMSI38IZX | 2 | F7070NISI40CH2X | 15
F4550IGGB35CMX | 4 | F7070NISI45CH3X
F4550IG35CMX | 4 | F7060NIBM32GG2X | 26
F5050ZHMB32CH3X | 2 | F7060NIBM45GG3X | 30
F5050ZHMB38CH2X | 4 | F7060NIBM48FN3X | 4
F5540AUQ16EG | 1 | F7060NISI32GG2X | 11
F5540AUQ35P | 1 | F7060NISI32GG2Y
F5540FZS35C | 1 | [NAME] | 36
F6550NIBM15EGX | 10 | F1020NNIB19WSX | 4
 |  | F1020NNSI19WSX | 1
 |  | F1020VHBM19WSX | 2
 |  | F1020VHIR19WSX | 3