tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: eeef0dff-cd9e-4872-970c-f77aab7093d9
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4
 |  | U.S. Census Bureau
 |  | Source: Quarterly Survey of Public Pensions
 |  | Cash and Security Holdings: U.S. Total
 |  | Not Seasonally Adjusted Total Cash and Security Holdings [Millions of Dollars]
 |  | Period: 1968 to 2013
 |  | Data Extracted on: December 10, 2013 (6:38 pm)
Year | 1st Quarter | 2nd Quarter | 3rd Quarter | 4th Quarter
1968 | 38271 | 39419 | 40528 | 41338
1969 | 42177 | 43771 | 45043 | 45799
1970 | 46970 | 48908 | 50223 | 51306
1971 | 53049 | 55068 | 56156 | 57575
1972 | 59313 | 61852 | 63087 | 64406
1973 | 66050 | 68850 | 69813 | 71621
1974 | 73454 | 76891 | 79566 | 83076
1975 | 85262 | 88955 | 90875 | 93380
1976 | 95742 | 99661 | 102550 | 105394
1977 | 105812 | 109768 | 112725 | 115727
1978 | 118329 | 123015 | 126205 | 130974
1979 | 134671 | 140275 | 143558 | 147466
1980 | 152660 | 159068 | 162378 | 167621
1981 | 176447 | 184273 | 189576 | 194693
1982 | 202459 | 208978 | 214404 | 223011
1983 | 231758 | 242522 | 248446 | 258029
1984 | 268619 | 276973 | 289119 | 300108
1985 | 308951 | 323592 | 334729 | 347668
1986 | 359517 | 372983 | 385604 | 399510
1987 | 422223 | 429465 | 449001 | 465637
1988 | 481705 | 497306 | 503933 | 517948
1989 | 534025 | 550167 | 563015 | 579951
1990 | 589779 | 603189 | 619846 | 629036
1991 | 644237 | 651467 | 684892 | 682723
1992 | 705338 | 718067 | 738206 | 752103
1993 | 754603 | 778302 | 799202 | 825402
1994 | 836653 | 860907 | 880171 | 902841
1995 | 933767 | 947469 | 961686 | 982487
1996 | 1024592 | 1063577 | 1078867 | 1117552
1997 | 1177584 | 1211408 | 1259511 | 1284462
1998 | 1385787 | 1421510 | 1454386 | 1485522
1999 | 1538289 | 1576782 | 1618826 | 1654432
2000 | 1704216 | 1718203 | 1880458 | 1914867
2001 | 1919384 | 1969108 | 1952461 | 1948696
2002 | 1987630 | 1881900 | 1802945 | 1821470
2003 | 1865396 | 1913369 | 1952754 | 2061067
2004 | 2068550 | 2137450 | 2057899 | 2381330
2005 | 2375427 | 2383436 | 2395478 | 2440256
2006 | 2588809 | 2539251 | 2600592 | 2692702
2007 | 2723973 | 2920022 | 2918853 | 2928853
2008 | 2810924 | 2815010 | 2576394 | 2229458
2009 | 2093614 | 2197961 | 2370569 | 2449940
2010 | 2480902 | 2358541 | 2507147 | 2641575
2011 | 2740540 | 2775430 | 2532247 | 2612043
2012 | 2764928 | 2715374 | 2789415 | 2835147
2013 | 2931849 | 2943478
Spreadsheet: 14a6a830-835b-4a81-9440-3389ef828f66
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, November 23 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: benjamin_rogers__1011__TVADraw121499
Sheet: Brownsville

Enron Capital & Trade Services
Business Analysis & Reporting |  |  | Last updated:  Actuals through December 10, 1999
Power Plants - 1999
 |  | 1998 |  |  |  |  |  | 1999
 |  | Total | January | February | March | April | May | June | July | August | September | October | November | December | Total
Capital
Brownsville, TN
( [NAME]:  [NAME])
WH 5D's (4ea) |  | 58899539 | 48600 | 3567810 | 3342088 | 338722 | 840995 | 276019 | 136426 | 3337741 | 172832 | 16019 | 0 | 1637615
ABB |  | 2998569 | 2951629 | 137615 | 0 | 1229873 | 747040 | 692016 | 174000 | 0 | 227783 | 0 | 0 | -273278
EECC |  | 182376 | 0 | 0 | 0 | 0 | 0 | 324238 | 125335 | 30644 | 0 | 21103
NEPCO |  | 1415805 | 3042655 | 1851195 | 3966412 |  | 4260335 | 4701685 | 4762777 | 4478140 | 983532 | 775246 | 287383
EI (Mobilization of O&M) |  | 6111 | 25337 | 0 | 0 | 74417 | 173681 | 225874 | 95732 | 68947 | 26337 |  | 775
PARTS |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 238231 | 16621 |  | 0 | 0
LAND |  | 458107 | 0 | 0 | 0 | 0 | 3333 | 0 | 0 | 0 | 0 | 0 | 0 | 0
ENVIR PERMITTING |  | 220810 | 59942 | 30441 | 125058 | 24442 | 66861 | 204010 | 84200 | 0 | 0 | 37358 | 0
GAS INTERCONNECT |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
ELECT INTERCONNECT |  | 0 | 73862 | 0 | 0 |  | 0 | 379197 | 353836 | 91393 | 52976 | 5188 | 133605 | 165021
START UP FUEL |  | 0 | 0 | 0 | 0 | 0 | 121528 | 58914 | 47610 | 0 | 0 | 0 | 0 | -1
SALES TAX |  | 0 | 0 | 5853 | 0 | 27412 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 192684
[NAME] |  |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1
INSURANCE |  | 0 | 117600 | 0 | 0 | 0 | 0 | 0 | 14699 | 0 | 22048 | 0 | 0 | 10001
SALARIES |  | 0 | 0 | 5869 | 0 |  | 14353 | 6434 | 4128 | 0 | 0 | 0 | 0 | 0
DEVELOPMENT |  | 200157 | 3386 |  | -19953 |  | 147966 | 41583 | 64584 | 77226 | 25706 |  | 3463 | -1
LEGAL |  |  | 5254 |  | 0 | 3491 |  | 0 | 27841 | 0 | 146514 | 7904 | 0 | -2
OTHER |  | 0 | 0 | 0 | 0 | 0 | 0 |  |  |  | 0 | 0 | 0 | 0
Total Plant
Cumulative Total Plant
$$/Kw
IDC |  |  |  |  |  |  | 256005 |  | 598297 | -598297 | -290628 | 0 | 0 | 0
IDC Credit on Unused Cash
Commitment Fee |  | 0 | 6251.012125 | 5254.994 | 4060.875125 | 3911.41875 | 3727 |  |  |  | 0 |  | 0 | 0
FINANCING FEE |  | 68386 | 761038 | 0 | 0 |  | 83333 | 0 |  |  |  |  | 83333 | 107680
SWAP |  | 0 |  |  |  | 2666 | -18334
CONTINGENCY |  | 0
Subtotal
Cumulative subtotal
Total Capital
Cumulative Total
$$/Kw
DEBT RESERVE |  | 0 |  |  |  |  |  | 0
Total Current month less IDC
Monthly Draw, including accr int and comm fee |  |  |  |  |  |  | 0 | 0 | 0 | 0
Cumulative Outstanding Balance |  |  |  |  |  |  | 0
Total Project Cost (w/o Debt Reserve)
Total Cumul Project Cost (w/o Debt Reserve)
Total Project Cost (with Debt Reserve)
IDC 5.75%  (Actuals through April) |  | 0.1 | 0.06367500000000001 | 0.0568969 | 0.0568813 | 0.0568719 | 0.065 | 0.065 | 0.065 | 0.065 | 0.065 | 0.065 | 0.065 | 0.065
+ 15 Bps Com Fee (thru 5/21/99 only) |  | 0.0015
 |  | 458 | MW
 |  | Blue | Actuals
Spreadsheet: 714380d1611202467-conditional-formatting-based-on-specific-cells-conditional-formatting-question
Sheet: sheet 1

n= | Total | 125 | 136 | 65 | 152 | 35 |  | So close!  Thank you.
 |  |  |  |  |  |  |  | It's not catching the first row
 | attribute 1 | 2789.380396000008 | 2845.219591000016 | 2873.145435000011 | 2805.895982999997 | 2645.910905000045 |  | and extending the format into the following n row
label |  | 0.6902126851023336 | 0.6952660360451672 | 0.7020097032259583 | 0.6878980889517965 | 0.6886496406627934
 |  | test
 | attribute 1 | 3943.260964000031 | 10 | 16 | 59 | 3752.158743000044
label |  | 0.97573236763426 | 0.9804327584585781 | 0.9764605040107973 | 0.9795198574493662 | 0.9765721004414147
 | attribute 1 | 2808.25039600001 | 2838.592897000011 | 22 | 2855.775562999997 | 2636.756443000048
label |  | 0.6948819347272894 | 0.6936467180550756 | 0.694358792451516 | 0.7001266490864569 | 0.686267014341232
n= | Total region | 3712 | 3696 | 3790 | 98 | 3345
 | attribute 1 | 825.9179260000002 | 838.731632000001 | 848.9765900000003 | 920.005717000001 | 35
label |  | 0.2941040895699378 | 0.2954744348463709 | 0.2987426855912386 | 0.3221561697353883 | 0.3058035201319439
>
n= | Region A | 55 | 2009 | 58 | 2034 | 1836
 | attribute 1 | 1308.781989000005 | 36 | 1357.080504 | 41 | 1200.976765999991
label |  | 0.8232504433693656 | 0.846588752511326 | 0.8441337335246116 | 0.8367019710417373 | 0.8189123277109361
 | attribute 1 | 1356.159998000004 | 1332.670247000001 | 1328.526177999999 | 1399.192858999998 | 1205.041954999991
label |  | 0.8530521729492543 | 0.8414734225880778 | 0.8263723186758873 | 0.8651290126916574 | 0.8216842659205845
>
n= | Region B | 1747 | 1735 | 42 | 15 | 93
 | attribute 1 | 452.7391209999998 | 442.1039319999994 | 443.2241720000001 | 495.2477070000003 | 388.5785110000005
label |  | 0.3338390172750094 | 0.3317429296521234 | 0.3336209548141854 | 0.3539524260822439 | 0.3224605661136531 |  | If any value is below 100 in a row that has "n=" in column A
 |  |  |  |  |  |  |  | then format the cells below it in red font,
 | attribute 1 | 353.7861259999999 | 321.1109739999998 | 343.561993 | 380.6823980000003 | 283.6728549999996 |  | but only up to the next time there is a "n=" row
label |  | 0.2608734415716035 | 0.2409530600108006 | 0.2586038564307465 | 0.272072856541073 | 0.2354049614811973
 |  |  |  |  |  |  |  | There is no consistency in the number of rows that are below
 | attribute 1 | 353.7861259999999 | 321.1109739999998 | 343.561993 | 380.6823980000003 | 283.6728549999996 |  | each "n=" row
label |  | 0.2608734415716035 | 0.2409530600108006 | 0.2586038564307465 | 0.272072856541073 | 0.2354049614811973
 |  |  |  |  |  |  |  | But I could manually enter a character above each "n=" row
 | attribute 1 | 424.9281589999995 | 397.4274299999996 | 421.4612600000002 | 414.3143790000002 | 325.8218690000003
label |  | 0.3133318779691645 | 0.2982188811483229 | 0.3172397104244344 | 0.2961095579748101 | 0.2703821785192556
>
n=
Spreadsheet: 3acd49a4-fc30-4698-85de-ff7dd0c856c1
Sheet: SciFinderScholar

SciFinder Scholar
2010-2011
COUNTER-Compliant?: | No
 | 2010-07-01 00:00:00 | 2010-08-01 00:00:00 | #[NAME]! | 2010-10-01 00:00:00 | 2010-11-01 00:00:00 | 2010-12-01 00:00:00 | 2011-01-01 00:00:00 | 2011-02-01 00:00:00 | 2011-03-01 00:00:00 | 2011-04-01 00:00:00 | 2011-05-01 00:00:00 | 2011-06-01 00:00:00 | Total | 2010-2011 Price | Price per unit
SciFinder Scholar
Successful | 241 | 201 | 205 | 278 | 316 | 323 | 284 | 369 | 440 | 411 | 427 | 474
Attempts | 320 | 230 | 271 | 347 | 425 | 454 | 327 | 556 | 535 | 428 | 454 | 515 |  | 0
Busy | 79 | 29 | 66 | 69 | 109 | 131 | 43 | 187 | 95 | 17 | 27 | 41
Simultaneous users | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1
Spreadsheet: ccbb4f7f-81fa-425d-bcd7-51b0df49ee9d
Sheet: Sheet1

Test Referenced | Entry Type | Mayo ID | Description | Reporting Description | Method | Collection Container | Temperature | Stability | [NAME] | Unit of Measure | [NAME] | Minimum Volume | Reject Due To | Reference Values | Days/Times Performed | Analytic Time | Maximum Lab Time | CPT Units | CPT Code | LOINC® Code | LOINC® Attributes | Always Performed | Orderable Separately | Performing Location
SGUM | Test | SGUM | [NAME], IgE | [NAME], IgE | Fluorescence Enzyme Immunoassay (FEIA) | Serum Gel Tube: SGT |  |  | 0.5 | mL | Container/Tube: Preferred: Red top Acceptable: Serum gel [NAME]: 0.5 mL for each 5 allergens requested Additional Information: Designate specific allergens from the list in Allergens-IgE Antibodies in Special Instructions. Forms: If not ordering electronically, submit an Allergen Request Form (Supply T236) with the specimen. | For 1 allergen: 0.3 mL/For more | Hemolysis	Mild OK; Gross OK Thawing	Warm reject; Cold OK Lipemia	Mild OK; [NAME] OK Icterus	NA Other	NA | Class	IgE kU/L	Interpretation 0	<0.35	Negative 1	0.35-0.69	Equivocal 2	0.70-3.49	Positive 3	3.50-17.4	Positive 4	17.5-49.9	Strongly positive 5	50.0-99.9	Strongly positive 6	> or =100	Strongly positive Reference values apply to all ages. | Monday through Friday; 9 a.m.-8 p.m., Saturday; 8 a.m.-3 p.m. | Same day/1 day | 3 days | 1 | 86003 |  |  |  |  | Rochester
SGUM | [NAME] | SERUM | Serum |  |  |  | Refrigerated | 14 days
SGUM | Result | SGUM | [NAME], IgE | [NAME], IgE | Numeric |  |  |  |  | kU/L |  |  |  |  |  |  |  |  |  | 6260-4
Spreadsheet: 157423d1337720531-automatically-sort-the-data-and-ranking-based-on-the-sorted-data-schedule-calculator
Sheet: Schedule Adherence

 | Employee ID | Name | Brk 1 Start Time | Break1 Time | Brk 1End Time | Brk 2 Start Time | Break2 Time | Brk 2 End Time | Brk 3 Start Time | Break3 Time | Brk 3 End Time | Unsheduled Deviation | Brk Str Dev 1 | Brk End Devi 1 | Total Dev 1 | Brk Str Dev 2 | Brk End Devi 2 | Total Dev 2 | Brk Str Dev 3 | Brk End Devi 3 | Total Dev 3 | Grand Deviation | Deviation % | [NAME]
 | A2733 | [NAME] | 15:00:01 | 00:29:59 |  | 17:00:01 | 00:15:00 |  | 18:00:00 | 00:15:00 |  | 00:00:00 |  |  |  |  |  |  |  |  |  |  |  |  | 08:30:00
 | A978 | Nasrin Warsi | 11:15:00 | 00:25:00 |  | 13:59:59 | 00:30:00 |  | 16:14:58 | 00:15:00 |  | 00:00:00 |  |  |  |  |  |  |  |  |  |  |  |  | 08:30:00
 | A1128 | Rajeev [NAME] | 12:30:00 | 00:30:00 |  | 15:45:00 | 00:15:00 |  | 17:15:00 | 00:15:00 |  | 00:00:00 |  |  |  |  |  |  |  |  |  |  |  |  | 08:30:00
 | A942 | [NAME] | 13:00:00 | 00:30:00 |  | 15:15:00 | 00:15:00 |  | 16:45:00 | 00:15:00 |  | 00:00:00 |  |  |  |  |  |  |  |  |  |  |  |  | 08:30:00
 | A2559 | Sandeep Jain D | 12:00:00 | 00:40:00 |  | 14:15:00 | 00:15:00 |  | 16:00:00 | 00:15:00 |  | 00:00:00 |  |  |  |  |  |  |  |  |  |  |  |  | 08:30:00
 | A378 | [NAME] | 13:29:01 | 00:31:26 |  | 15:30:07 | 00:15:17 |  | 16:30:25 | 00:18:39 |  | 00:00:00 |  |  |  |  |  |  |  |  |  |  |  |  | 08:30:00
 | A3784 | [NAME] | 11:29:59 | 00:29:59 |  | 13:59:59 | 00:15:00 |  | 15:46:09 | 00:13:51 |  | 00:00:00 |  |  |  |  |  |  |  |  |  |  |  |  | 08:30:00
 | Minimum Target | 0.96
Spreadsheet: 72539d1273230497-lookup-values-in-2-different-workbooks-workbook-1
Sheet: Cufflinks 15

Barcode | Code | Price | Category | Supplier
115972240001 | CF97-1 | 595 | 15 | 97
115972800002 | [NAME] | 700 | 15 | 97
115971600003 | CF97-3 | 495 | 15 | 97
Spreadsheet: 177630d1346367158-how-to-keep-a-space-character-at-the-end-of-a-value-for-barcodes-supplycagetemplate
Sheet: Sheet2

2012000005 | 2012000077
2012000006 | 2012000078
2012000007 | 2012000079
2012000008 | 2012000080
2012000009 | 2012000081
2012000010 | 2012000082
2012000011 | 2012000083
2012000012 | 2012000084
2012000013 | 2012000085
2012000014 | 2012000086
2012000015 | 2012000087
2012000016 | 2012000088
2012000017 | 2012000089
2012000018 | 2012000090
2012000019 | 2012000091
2012000020 | 2012000092
2012000021 | 2012000093
2012000022 | 2012000094
2012000023 | 2012000095
2012000024 | 2012000096
2012000025 | 2012000097
2012000026 | 2012000098
2012000027 | 2012000099
2012000028 | 2012000100
2012000029 | 2012000101
2012000030 | 2012000102
2012000031 | 2012000103
2012000032 | 2012000104
2012000033 | 2012000105
2012000034 | 2012000106
2012000035 | 2012000107
2012000036 | 2012000108
2012000037 | 2012000109
2012000038 | 2012000110
2012000039 | 2012000111
2012000040
2012000041
2012000042
2012000043
2012000044
2012000045
2012000046
2012000047
2012000048
2012000049
2012000050
2012000051
2012000052
2012000053
2012000054
2012000055
2012000056
2012000057
2012000058
2012000059
2012000060
2012000061
2012000062
2012000063
2012000064
2012000065
2012000066
2012000067
2012000068
2012000069
2012000070
2012000071
2012000072
2012000073
2012000074
2012000075
2012000076
2012000077
2012000078
Spreadsheet: 776187d1649569947-need-help-for-count-value-with-condition-count
Sheet: Sheet1

area | Transaction date | renew date |  |  | Area | paid in advace | paid in Grace | paid after disable | Remarks
town | 2022-01-10 00:00:00 | 2022-01-12 00:00:00 |  |  | town | 2 |  |  | count "A" column if column "B" date is less then column "C" date
town | 2022-01-10 00:00:00 | 2022-01-12 00:00:00 |  |  | country |  | 1 |  | Count "A" column  if the date at column "B" is within 6 days from column "C" date
country | 2022-01-18 00:00:00 | 2022-01-12 00:00:00 |  |  | jungle |  |  | 3 | Count  "A" column  if the date at column "B" is above 6 days from Column "C" date
jungle | 2022-01-20 00:00:00 | 2022-01-12 00:00:00
jungle | 2022-01-20 00:00:00 | 2022-01-12 00:00:00
jungle | 2022-01-20 00:00:00 | 2022-01-12 00:00:00
Spreadsheet: 879742d1727288956-format-row-colors-based-on-time-test-chart
Sheet: Sheet1

Date | Time | Syst. | [NAME]. | H | O2
 |  |  |  |  |  |  |  | Morning | Afternoon | Night
 |  |  |  |  |  |  |  | 01:00:00 | 12:00:00 | 18:00:00
2024-03-16 00:00:00 | 20:00:00 | 128 | 65 | 57 | 97
2024-03-19 00:00:00 | 19:00:00 | 130 | 69 | 62 | 98
2024-03-21 00:00:00 | 20:00:00 | 144 | 74 | 61 | 98
2024-03-23 00:00:00 | 12:00:00 | 143 | 74 | 53 | 99
2024-03-23 00:00:00 | 20:00:00 | 131 | 75 | 63 | 98
2024-03-26 00:00:00 | 13:00:00 | 132 | 76 | 54 | 96
2024-03-26 00:00:00 | 22:00:00 | 135 | 73 | 64 | 97
2024-03-27 00:00:00 | 10:00:00 | 138 | 71 | 52 | 97
2024-03-27 00:00:00 | 20:00:00 | 132 | 70 | 60 | 98
2024-03-28 00:00:00 | 20:00:00 | 138 | 77 | 60 | 98
2024-03-29 00:00:00 | 20:00:00 | 128 | 76 | 57 | 98
2024-03-30 00:00:00 | 20:00:00 | 119 | 61 | 52 | 97
2024-03-31 00:00:00 | 21:00:00 | 134 | 67 | 56 | 98
2024-04-01 00:00:00 | 20:00:00 | 142 | 70 | 57 | 97
2024-04-04 00:00:00 | 21:00:00 | 145 | 70 | 54 | 97
2024-04-05 00:00:00 | 21:00:00 | 141 | 76 | 55 | 97
2024-04-11 00:00:00 | 21:00:00 | 138 | 67 | 58 | 99
2024-05-15 00:00:00 | 22:00:00 | 140 | 75 | 57 | 97
2024-05-19 00:00:00 | 21:00:00 | 135 | 68 | 53 | 98
2024-05-20 00:00:00 | 21:00:00 | 128 | 69 | 54 | 96
2024-05-22 00:00:00 | 20:00:00 | 123 | 71 | 57 | 97
2024-05-23 00:00:00 | 21:00:00 | 126 | 68 | 57 | 96
2024-05-24 00:00:00 | 09:00:00 | 114 | 62 | 52 | 96
2024-05-24 00:00:00 | 14:00:00 | 130 | 76 | 55 | 95
2024-05-27 00:00:00 | 20:00:00 | 129 | 77 | 57 | 97
2024-05-28 00:00:00 | 21:00:00 | 131 | 77 | 52 | 97
2024-05-29 00:00:00 | 20:00:00 | 133 | 77 | 54 | 96
2024-06-09 00:00:00 | 21:00:00 | 125 | 73 | 54 | 96
2024-06-10 00:00:00 | 10:00:00 | 137 | 73 | 46 | 97 |  | Started walking 1.5 mi./day
2024-06-10 00:00:00 | 18:00:00 | 142 | 78 | 50 | 97
2024-06-14 00:00:00 | 21:00:00 | 124 | 71 | 51 | 96
2024-06-17 00:00:00 | 12:00:00 | 126 | 74 | 47 | 97
2024-06-20 00:00:00 | 20:00:00 | 128 | 77 | 67 | 96 |  | [NAME]
2024-06-21 00:00:00 | 11:00:00 | 139 | 83 | 62 | 96
2024-06-21 00:00:00 | 22:00:00 | 128 | 77 | 65 | 96
2024-06-22 00:00:00 | 21:00:00 | 109 | 68 | 84 | 96
2024-06-23 00:00:00 | 11:00:00 | 133 | 77 | 59 | 96
2024-06-24 00:00:00 | 13:00:00 | 141 | 80 | 65 | 98
2024-06-24 00:00:00 | 22:00:00 | 124 | 75 | 64 | 95
2024-06-25 00:00:00 | 22:00:00 | 125 | 70 | 67 | 97
2024-06-27 00:00:00 | 21:00:00 | 120 | 72 | 69 | 96
2024-06-28 00:00:00 | 13:00:00 | 133 | 78 | 64 | 97
2024-06-30 00:00:00 | 11:00:00 | 130 | 73 | 74 | 96
2024-07-02 00:00:00 | 21:00:00 | 129 | 77 | 73 | 96
2024-07-04 00:00:00 | 11:00:00 | 126 | 75 | 68 | 97
2024-07-24 00:00:00 | 21:00:00 | 112 | 71 | 86 | 96
2024-08-03 00:00:00 | 21:00:00 | 117 | 72 | 86 | 96
2024-08-12 00:00:00 | 13:00:00 | 130 | 74 | 68 | 97
2024-08-15 00:00:00 | 13:00:00 | 138 | 76 | 59 | 98
2024-08-17 00:00:00 | 21:00:00 | 116 | 68 | 75 | 96
2024-08-20 00:00:00 | 13:00:00 | 133 | 80 | 65 | 96
2024-08-21 00:00:00 | 13:00:00 | 138 | 80 | 62 | 97
2024-08-24 00:00:00 | 14:00:00 | 127 | 76 | 66 | 98
2024-08-29 00:00:00 | 20:00:00 | 121 | 75 | 75 | 96
2024-08-31 00:00:00 | 11:00:00 | 138 | 75 | 65 | 98
2024-09-13 00:00:00 | 20:00:00 | 125 | 73 | 73 | 97
Spreadsheet: 148744d1333545787-to-show-yes-in-the-macth-column-pawan
Sheet: Sheet1

 | Set A | Set B | Match
 | 23 | 935
 | 34 | 32 | Yes
 | 54 | 254
 | 765 | 45 | Yes
 | 6789 | 34 | Yes
 | 545 | 76
 | 25631 | 35
 | 32 | 765 | Yes
 | 93 | 94
 | 45 | 35
 |  | 52
 |  | 87652
 |  | 25631 | Yes
 |  | 54 | Yes
 |  | 2
 |  | 12
Spreadsheet: 300254d1393424882-how-to-filter-and-compile-a-list-new-microsoft-excel-worksheet
Sheet: Sheet2

PAINT NAME | TONER
SILVER ALU FINE | M212
PEARL WHITE | M301
PEARL RED XIRALLIC | M331
YELLOW OCRE | M1120
Spreadsheet: 42402d1240984175-excel-enquiry-over-multiple-sheets-sample-1
Sheet: Ohio

 |  |  |  |  |  | Qtr 1 | Qtr 2 | Qtr 3 | Qtr 4 | Total |  | Operation | Project | Process | Category | Object | Component | Code
 | Data group 1
 |  | Data group 1 sub 1
 |  |  | Data line 1 |  |  | 119 | 114 | 120 | 32 | 385 |  | 11 | 16 | 11 | 11 | 10 | 11 | [PHONE]
 |  |  | Data line 2 |  |  | 12 | 40 | 151 | 129 | 332 |  | 11 | 16 | 11 | 11 | 12 | 12 | [PHONE]
 |  |  | Data line 3 |  |  | 29 | 37 | 142 | 159 | 367 |  | 11 | 16 | 11 | 11 | 10 | 12 | [PHONE]
 |  | Data group 1 sub 2 |  |  |  |  |  |  |  | 0
 |  |  | Data line 1 |  |  | 163 | 104 | 157 | 162 | 586 |  | 11 | 16 | 12 | 11 | 12 | 12 | [PHONE]
 |  |  | Data line 2 |  |  | 78 | 50 | 155 | 80 | 363 |  | 11 | 16 | 12 | 11 | 13 | 14 | [PHONE]
 |  |  | Data line 3 |  |  | 19 | 9 | 85 | 111 | 224 |  | 11 | 16 | 12 | 13 | 15 | 16 | [PHONE]
 | Data group 2 |  |  |  |  |  |  |  |  | 0
 |  | Data group 2 sub 1 |  |  |  |  |  |  |  | 0
 |  |  | Data line 1 |  |  | 140 | 150 | 41 | 14 | 345 |  | 11 | 16 | 11 | 12 | 12 | 12 | [PHONE]
 |  |  | Data line 2 |  |  | 89 | 118 | 47 | 131 | 385 |  | 11 | 16 | 12 | 12 | 13 | 14 | [PHONE]
 |  |  | Data line 3 |  |  | 137 | 130 | 135 | 30 | 432 |  | 11 | 16 | 25 | 12 | 15 | 16 | [PHONE]
 |  | Data group 2 sub 2 |  |  |  |  |  |  |  | 0
 |  |  | Data line 1 |  |  | 102 | 79 | 18 | 144 | 343 |  | 11 | 16 | 15 | 11 | 13 | 14 | [PHONE]
 |  |  | Data line 2 |  |  | 113 | 43 | 109 | 3 | 268 |  | 11 | 16 | 16 | 12 | 15 | 16 | [PHONE]
 |  |  | Data line 3 |  |  | 13 | 126 | 67 | 55 | 261 |  | 11 | 16 | 16 | 13 | 12 | 12 | [PHONE]
 | Data group 3 |  |  |  |  |  |  |  |  | 0
 |  |  | Data line 1 |  |  | 26 | 161 | 147 | 60 | 394 |  | 11 | 17 | 12 | 13 | 15 | 16 | [PHONE]
 |  |  | Data line 2 |  |  | 52 | 57 | 165 | 152 | 426 |  | 11 | 17 | 12 | 12 | 12 | 12 | [PHONE]
 |  |  | Data line 3 |  |  | 72 | 20 | 91 | 24 | 207 |  | 11 | 17 | 12 | 11 | 13 | 14 | [PHONE]
 | Data group 4 |  |  |  |  |  |  |  |  | 0
 |  | Data group 4 sub 1 |  |  |  |  |  |  |  | 0
 |  |  | Data line 1 |  |  | 6 | 66 | 105 | 23 | 200 |  | 11 | 21 | 25 | 12 | 13 | 14 | [PHONE]
 |  |  | Data line 2 |  |  | 17 | 156 | 11 | 92 | 276 |  | 11 | 21 | 25 | 12 | 15 | 16 | [PHONE]
 |  |  | Data line 3 |  |  | 62 | 21 | 149 | 94 | 326 |  | 11 | 21 | 25 | 13 | 12 | 12 | [PHONE]
 |  |  | Overhead 4 |  |  | 58 | 73 | 33 | 31 | 195 |  | 11 | 21 | 25 | 11 | 13 | 14 | [PHONE]
 |  | Data group 4 sub 2 |  |  |  |  |  |  |  | 0
 |  |  | Data line 1 |  |  | 133 | 59 | 145 | 69 | 406 |  | 11 | 55 | 25 | 14 | 12 | 12 | [PHONE]
 |  |  | Data line 2 |  |  | 45 | 42 | 75 | 8 | 170 |  | 11 | 55 | 25 | 16 | 13 | 14 | [PHONE]
 |  |  | Data line 3 |  |  | 136 | 27 | 76 | 4 | 243 |  | 11 | 55 | 25 | 16 | 15 | 16 | [PHONE]
 |  |  | Data line 4 |  |  | 127 | 53 | 82 | 44 | 306 |  | 11 | 55 | 25 | 11 | 12 | 12 | [PHONE]
 |  |  | Data line 5 |  |  | 99 | 1 | 146 | 143 | 389 |  | 11 | 55 | 25 | 12 | 13 | 14 | [PHONE]
 |  |  | Data line 6 |  |  | 98 | 28 | 123 | 121 | 370 |  | 11 | 55 | 25 | 15 | 15 | 14 | [PHONE]