tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 438169d1451814255-inputting-roster-into-simplified-spreadsheet-depending-on-date-and-start-time-daily-allocation-sheet-final
Sheet: Roster

 | 2016-01-26 00:00:00 | 2016-01-27 00:00:00 | 2016-01-28 00:00:00 | 2016-01-29 00:00:00 | 2016-01-30 00:00:00 | 2016-01-31 00:00:00 | 2016-02-01 00:00:00
Attendant 1 | Off | 9 | 9 | 9 | 9 | 9 | Off
Attendant 2 | Off | Off | 9 | 9 | 9 | 9 | 9
Attendant 3 | Off | Off | 9 | 9 | 9 | 9 | 9
Attendant 4 | Off | Off | 9 | 9 | 9 | 9 | 9
Attendant 5 | Off | Off | 9 | 9 | 9 | 9 | 9
Attendant 6 | Off | Off | 9 | 9 | 9 | 9 | 9
Attendant 7 | Off | Off | 9 | 9 | 9 | 9 | 9
Attendant 8 | Off | Off | 9 | 9 | 9 | 9 | 9
Attendant 9 | Off | Off | 9 | 9 | 9 | 9 | 9
Attendant 10 | 9 | 9 | Off | Off | 9 | 9 | 9
Attendant 11 | 9 |  | Off | Off | 9 | 9 | 9
Attendant 12 | 9 |  | Off | Off | 9 | 9 | 9
Attendant 13 | 9 |  | Off | Off | 9 | 9 | 9
Attendant 14 | 9 |  | Off | Off | 9 | 9 | 9
Attendant 15 | 9 |  | Off | Off | 9 | 9 | 9
Attendant 16 | 9 |  | Off | Off | 9 | 9 | 9
Attendant 17 | 9 |  | Off | Off | 9 | 9 | 9
Attendant 18 | 9 | 9 | 9 | 9 | Off | Off | 9
Attendant 19 | Off | 9 | 9 | 9 | Off | Off | 9
Attendant 20 | 9 | 9 | 9 | 9 | Off | Off | 9
Attendant 21 | 9 | 9 | 9 | 9 | Off | Off | 9
Attendant 22 | 9 | 9 | 9 | 9 | Off | Off | 9
Attendant 23 | Off | 9 | 9 | 9 | Off | Off | 9
Attendant 24 | 9 | 9 | 9 | 9 | Off | Off | 9
Attendant 25 | Off | 9 | 9 | 9 | Off | Off | 9
Spreadsheet: 19499eae-43a0-40f9-a303-17da874aeb9a
Sheet: Sheet1

CASH FLOW PROJECTION-  RECEIPTS TABLE | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | NAME/DATE | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11 | Unnamed: 12 | Unnamed: 13
OPERATING RECEIPTS | JAN | FEB | MAR | APR | MAY | JUN | JUL | AUG | SEP | OCT | NOV | DEC | TOTALS
1) LIVESTOCK SALES    A.CATTLE | 100
2)                                     B. SHEEP
3)SALES OF PURCHASED LIVESTOCK | 700
4) CROP SALES               A.
5)                                      B.
6) GOVERNMENT PAYMENTS | 40
7)OTHER FARM INCOME
8) ????
TOTAL OPERATING RECEIPTS | 840 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 840
CAPITAL SALES
10) BREEDING STOCK
11) MACHINERY / LIVESTOCK
12)BUILDINGS / LAND
OTHER INFLOWS
13) WAGES AND SALARIES
14) INVESTMENTS
15) ???
TOTAL CASH INFLOW | 840 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 840
Spreadsheet: 839729d1692188755-how-to-do-a-similarity-matrix-table-example
Sheet: Report

region | Code
A | b10d34ba-0ebf-474d-a0e9-c60e886c26cf
A | 3cd4dffc-0c6f-41bd-a6fb-08276ec7f092
A | 57086127-258d-4c06-a179-646f4dca079d
B | 66c1c3c8-74b4-416a-ac3e-c846a68f2558
B | b10d34ba-0ebf-474d-a0e9-c60e886c26cf
B | 25d582eb-cecc-4e99-ab18-5ba3d1a50835
B | [NAME]
C | f6aea23b-6ba8-4777-b25d-71734de07d47
C | b10d34ba-0ebf-474d-a0e9-c60e886c26cf
C | 7c3eb712-9668-4f48-8835-66a67c7bd8ca
C | a913451c-6ddc-4224-a199-6023d077a19d
C | 0a62f5f4-f4ae-4fff-a62e-861611a7620b
C | 7f2f23f0-dd30-44d4-9a37-9704b507b8f0
D | 740eff37-7c84-469e-8164-9501bf9f0017
D | 5de311bd-e925-4a0e-ae20-c8e039e27080
D | 0a62f5f4-f4ae-4fff-a62e-861611a7620b
D | 52c7de87-11ae-400a-8d86-47312cff7694
D | 516823ba-845f-40ff-bb39-c4d7024a71e9
D | 57086127-258d-4c06-a179-646f4dca079d
D | 65b6fb7a-417e-43ad-96b2-154f1dea311b
Spreadsheet: 2459410e-1b8e-4901-9d97-5b27d14b9219
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
BCRAB | Test | BCRAB | BCR/ABL, p210, mRNA Detection, [NAME] (RT-PCR), Quantitative, Monitoring Chronic Myelogenous Leukemia (CML) | BCR/ABL, p210, Quant, Monitor | Quantitative Reverse Transcription-Polymerase Chain Reaction (RT-PCR) using GeneXpert (Cepheid) (PCR is utilized pursuant to a license agreement with Roche Molecular Systems, Inc.) |  |  |  |  | Varies | The following information is required: 1. Pertinent clinical history including if the patient has a diagnosis of CML or other bcr/abl-positive neoplasm 2. Date of collection 3. Specimen source (blood or bone marrow)   Forms:  1. Hematopathology Patient Information Sheet (Supply T676) in Special Instructions 2. If not ordering electronically, please submit a Hematopathology/Molecular Oncology Request Form (Supply T241) with the specimen.  [NAME] must arrive within 72 hours of collection.   Submit only 1 of the following specimens:   Specimen Type: Whole blood Container/Tube: Preferred: Lavender top (EDTA) Acceptable: ACD [NAME]: 4 mL Collection Instructions:  1. Invert several times to mix blood.  2. Send specimen in original tube. 3. Label specimen as blood.   Specimen Type: Bone marrow Container/Tube: Preferred: Lavender top (EDTA) Acceptable: ACD [NAME]: 3 mL Collection Instructions:  1. Invert several times to mix bone marrow.  2. Send specimen in original tube. 3. Label specimen as bone marrow. | 1 mL | Hemolysis	Mild OK; Gross reject Thawing	Warm reject; Cold reject Lipemia	NA Icterus	NA Other	NA | The presence or absence of BCR/ABL mRNA (bcr/abl) fusion form producing the p210 fusion protein is reported. If positive, the level is reported as the ratio of bcr/abl (p210) to abl with conversion to a percentage (ie, bcr/abl (p210) as a percentage of total abl). The result is then converted to the international scale. | Monday through Friday | 3 days | 6 days | 1 | 81206 |  |  |  |  | Rochester
BCRAB | [NAME] | VARIES | Varies |  |  |  | Ambient | 72 hours
BCRAB | Order Question | MP003 | [NAME] |  | Plain Text
BCRAB | Result | MP003 | [NAME] | [NAME] | Alphanumeric
BCRAB | Result | 19598 | Final Diagnosis: | Final Diagnosis: | Alphanumeric |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 34574-4
Spreadsheet: 835450d1688585477-cant-do-a-simple-addition-2019-mock-marksheet
Sheet: Overall

 | (Tier MUST be added for result)
Name | Class | Tier | Grade
 |  | F
 |  | F
 |  | F
 |  | F
 |  | F
 |  | F
 |  | F
 |  | F
 |  | F
 |  | F
 |  | F
 |  | F
 |  | F
Spreadsheet: 0f1f7833-0537-44d1-a158-126a5c6b18b8
Sheet: T55

الجدول 55: نسبة الذكور إلى الإناث عند الولادة، 2000-2012
Table 55: Sex ratio at birth, 2000-2012
Country | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | البلد
Bahrain |  |  |  |  |  |  |  |  |  |  | ... | … | … | البحرين
Egypt |  |  |  |  |  |  |  |  |  |  |  |  | … | مصر
Iraq |  |  |  |  |  |  |  |  |  |  |  | … | … | العراق
Jordan |  |  |  |  |  |  |  |  |  |  |  |  |  | الأردن
Kuwait |  |  |  |  |  |  |  |  |  |  |  |  | … | الكويت
Lebanon |  |  |  |  |  |  |  |  |  |  |  |  |  | لبنان
Libya | … | … | … | … |  |  |  |  |  | … | … | … | … | ليبيا
Morocco | … | … | … | … | … | … | … | … | … | … | … | … | … | [NAME]
Oman | … | … | … | … | … | … |  |  |  |  |  |  | … | عمان
Palestine |  |  |  |  |  |  |  |  |  |  |  |  | … | فلسطين
Qatar |  |  |  |  |  |  |  |  |  |  |  |  | … | قطر
Saudi Arabia |  |  |  |  |  |  |  |  |  |  |  |  |  | المملكة العربية السعودية
Sudan | ... | ... | ... | ... | ... | ... | ... |  |  |  | … | … | … | السودان
Syrian Arab Republic |  |  |  |  |  |  |  |  |  |  |  | … | … | الجمهورية العربية السورية
Tunis | … | … | … | … | … | … | … | … |  |  |  |  | … | تونس
United Arab Emirates |  |  |  |  |  |  |  |  |  |  |  |  | … | الإمارات العربية المتحدة
Yemen |  |  |  |  |  |  |  |  |  |  |  |  | … | اليمن
Total |  |  |  |  |  |  |  |  |  |  |  |  |  | المجموع
* data for the years 2008-2009 & 2010 include West Bank only and excludes Gaza Strip. |  |  |  |  |  |  |  |  |  |  |  |  |  | * بيانات السنوات 2008، 2009 و2010 تشمل الضفة  الغربية فقط ولا تشمل قطاع غزة.
sex ratio = male / female *100
Spreadsheet: 198198d1354704690-i-need-help-ugent-how-can-i-connect-one-number-to-an-entire-row-excel-help
Sheet: Hoja1

 |  | This number below in blue would be the main number, when I cange this one, all number below automatically changes. As well with the 30.000..
[NAME] | 30000 | 500 | Total
1 | 15.000 + 30.000 | 500
2 | 30000 | 500
3 | 30000 | 500
4 | 30000 | 500
5 | 30000 | 500
6 | 30000 | 500
7 | 30000 | 500
8 | 30000 | 500
9 | 30000 | 500
10 | 30000 - 15000 | 500
Spreadsheet: 132307d1323693202-no-of-unique-per-month-by-type-of-business-unique-orders
Sheet: Sheet1

Date | Order | Customer | Type |  |  |  | 2011 | New | Ren
2011-01-01 00:00:00 | 616959 | Boffins Computer Workshops | NEW |  |  |  | Boffins Computer Workshops | 3 | 1
2011-01-01 00:00:00 | 616960 | Boffins Computer Workshops | NEW |  |  |  | Alchemy Plus | 1 | 2
2011-01-01 00:00:00 | 616962 | Alchemy Plus | REN
2011-01-01 00:00:00 | 616962 | Alchemy Plus | REN
2011-01-01 00:00:00 | 616962 | Alchemy Plus | REN
2011-01-01 00:00:00 | 616962 | Alchemy Plus | REN
2011-01-01 00:00:00 | 616984 | Alchemy Plus | REN
2011-01-01 00:00:00 | 617022 | Boffins Computer Workshops | REN
2011-01-01 00:00:00 | 617022 | Boffins Computer Workshops | REN
2011-01-01 00:00:00 | 617022 | Boffins Computer Workshops | REN
2011-01-01 00:00:00 | 617071 | Boffins Computer Workshops | New
2011-02-01 00:00:00 | 617076 | Alchemy Plus | New
2011-02-01 00:00:00 | 617076 | Alchemy Plus | New
2011-02-01 00:00:00 | 617076 | Alchemy Plus | New
Spreadsheet: 681741d1591720359-grouping-continuous-dates-dates-example-statto-
Sheet: Sheet1

Tenant | Property | From | To | Tenancy |  | Extracted
A | House1 | 2011-09-01 00:00:00 | 2012-08-31 00:00:00 |  |  | Tenant | Property | From | To | Tenancy
A | House2 | 2012-09-01 00:00:00 | 2013-08-31 00:00:00 |  |  | A | House1 | 2011-09-01 00:00:00 | 2012-08-31 00:00:00
B | House4 | 2012-09-01 00:00:00 | 2013-08-31 00:00:00 |  |  | A | House2 | 2012-09-01 00:00:00 | 2013-08-31 00:00:00
A | House3 | 2014-09-01 00:00:00 | 2015-08-31 00:00:00 |  |  | B | House4 | 2012-09-01 00:00:00 | 2013-08-31 00:00:00
A | House3 | 2016-09-01 00:00:00 | 2017-08-31 00:00:00 |  |  | A | House3 | 2014-09-01 00:00:00 | 2015-08-31 00:00:00
B | House4 | 2016-09-01 00:00:00 | 2017-08-31 00:00:00 |  |  | A | House3 | 2016-09-01 00:00:00 | 2017-08-31 00:00:00
B | House4 | 2017-09-01 00:00:00 | 2018-08-31 00:00:00 |  |  | B | House4 | 2016-09-01 00:00:00 | 2019-08-31 00:00:00
A | House4 | 2018-09-01 00:00:00 | 2019-08-31 00:00:00 |  |  | A | House4 | 2018-09-01 00:00:00 | 2021-08-31 00:00:00
B | House4 | 2018-09-01 00:00:00 | 2019-08-31 00:00:00 |  |  | C | House5 | 2019-09-01 00:00:00 | 2020-08-31 00:00:00
A | House4 | 2019-09-01 00:00:00 | 2020-08-31 00:00:00
C | House5 | 2019-09-01 00:00:00 | 2020-08-31 00:00:00
A | House4 | 2020-09-01 00:00:00 | 2021-08-31 00:00:00
 |  |  |  |  |  | Tenant | Tenancy | Property | From | To
 |  |  |  |  |  | A | 1 | House1 | 2011-09-01 00:00:00 | 2012-08-31 00:00:00
 |  |  |  |  |  |  | 2 | House2 | 2012-09-01 00:00:00 | 2013-08-31 00:00:00
 |  |  |  |  |  |  | 3 | House3 | 2014-09-01 00:00:00 | 2015-08-31 00:00:00
 |  |  |  |  |  |  | 4 | House3 | 2016-09-01 00:00:00 | 2017-08-31 00:00:00
 |  |  |  |  |  |  | 5 | House4 | 2020-09-01 00:00:00 | 2021-08-31 00:00:00
 |  |  |  |  |  | B | 1 | House4 | 2012-09-01 00:00:00 | 2013-08-31 00:00:00
 |  |  |  |  |  |  | 2 | House4 | 2018-09-01 00:00:00 | 2019-08-31 00:00:00
 |  |  |  |  |  | C | 1 | House5 | 2019-09-01 00:00:00 | 2020-08-31 00:00:00
Spreadsheet: kate_symes__18237__MidC
Sheet: DJ Mid-C Electricity Index

 |  |  | Firm | Volume | Firm | Volume | Non Firm | Volume | Non Firm | Volume |  | Sunday & NERC | Volume
 | DATE |  | On [NAME] | [NAME] | [NAME] | [NAME] | On [NAME] | [NAME] | [NAME] | [NAME] |  | 24 HOUR | [NAME]
 | 2001-03-26 00:00:00 |  | 334.36 | 15600 | 230.55 | 6600
 | 2001-03-25 00:00:00 |  | 260 | 0 | 230 | 0 | 70 | 200 | 41.32 | 456 |  | 229.94 | 19200
 | 2001-03-24 00:00:00 |  | 312.79 | 15600 | 217.52 | 5960 | 113.77 | 1687 | 139.44 | 832
 | 2001-03-23 00:00:00 |  | 312.79 | 15600 | 217.52 | 5960 | 331.82 | 1155 | 150 | 4
 | 2001-03-22 00:00:00 |  | 377.69 | 16800 | 274.53 | 6400 | 233.97 | 521 | 266.13 | 248
 | 2001-03-21 00:00:00 |  | 452.08 | 17280 | 319.69 | 4928 | 443.97 | 58 | 294.11 | 259
 | 2001-03-20 00:00:00 |  | 402.53 | 16000 | 277.64 | 5952 | 456.15 | 488 | 316.05 | 214
 | 2001-03-19 00:00:00 |  | 397.48 | 26800 | 342.53 | 7360 | 398.47 | 1222 | 145.95 | 454
 | 2001-03-18 00:00:00 |  | 370 | 0 | 330 | 0 | 140.35 | 285 | 146.22 | 1255 |  | 343.75 | 22080
 | 2001-03-17 00:00:00 |  | 245.91 | 18400 | 217.72 | 9200 | 400 | 50 | 215.18 | 140
 | 2001-03-16 00:00:00 |  | 245.91 | 18400 | 217.72 | 9200 | 325 | 415 | 188.89 | 405
 | 2001-03-15 00:00:00 |  | 216.73 | 20560 | 174.7 | 10144 | 237.58 | 642 | 186.25 | 260
 | 2001-03-14 00:00:00 |  | 211.45 | 25360 | 172.67 | 8512 | 225.87 | 1552 | 157.5 | 480
 | 2001-03-13 00:00:00 |  | 211.79 | 20960 | 168.03 | 9088 | 235.45 | 33 | 150.36 | 445
 | 2001-03-12 00:00:00 |  | 263.78 | 24240 | 255.08 | 7632 | 223.3 | 996 | 176.32 | 106
 | 2001-03-11 00:00:00 |  | 265 | 0 | 230 | 200 | 219.32 | 111 | 174.9 | 264 |  | 255.41 | 23256
 | 2001-03-10 00:00:00 |  | 224.71 | 20800 | 190.8 | 6912 | 247.11 | 873 | 227.78 | 709
 | 2001-03-09 00:00:00 |  | 224.71 | 20800 | 190.8 | 6912 | 277.5 | 52 | 230.19 | 982
 | 2001-03-08 00:00:00 |  | 262.5 | 14400 | 203.46 | 4624 | 282.12 | 2609 | 247.42 | 748
 | 2001-03-07 00:00:00 |  | 332.94 | 26544 | 285.65 | 15720 | 330.51 | 717 | 232.25 | 507
 | 2001-03-06 00:00:00 |  | 342.28 | 17200 | 304.1 | 7232 | 336.81 | 452 | 233.81 | 624
 | 2001-03-05 00:00:00 |  | 322.23 | 12560 | 296.39 | 4712 | 305.57 | 470 | 252.06 | 1447
 | 2001-03-04 00:00:00 |  | 310 | 0 | 270 | 0 | 289.47 | 475 | 246.67 | 375 |  | 296.48 | 15336
 | 2001-03-03 00:00:00 |  | 305.25 | 20560 | 267.01 | 8232 | 250.36 | 685 | 281.25 | 160
 | 2001-03-02 00:00:00 |  | 305.25 | 20560 | 267.01 | 8232 | 377.23 | 90 | 300 | 100
 | 2001-03-01 00:00:00 |  | 298.9 | 27200 | 269.54 | 7872 | 372.61 | 244 | 255 | 160
 | 2001-02-28 00:00:00 |  | 200.96 | 25024 | 183.83 | 13864 | 316.43 | 2298 | 258.89 | 1480
 | 2001-02-27 00:00:00 |  | 201.92 | 15424 | 178.85 | 6464 | 244.23 | 455 | 204.11 | 1255
 | 2001-02-26 00:00:00 |  | 245.45 | 11424 | 227.06 | 6928 | 198.18 | 550 | 160 | 50
 | 2001-02-25 00:00:00 |  | 240 | 800 | 210 | 0 | 173.83 | 962 | 159.04 | 584 |  | 227.06 | 20784
 | 2001-02-24 00:00:00 |  | 194.5 | 20624 | 152.04 | 7328 | 186.82 | 2727 | 184.22 | 870
 |  |  |  |  |  | ..
Spreadsheet: 07a8e4ee-84fe-4ca3-9038-8505700aa228
Sheet: Sheet1

ACQUISITIONS DEPARTMENT | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11 | Unnamed: 12 | Unnamed: 13
[NAME]
 | JUL | AUG | SEP | OCT | NOV | DEC | JAN | FEB | MAR | APR | MAY | JUN | YTD
Requests searched | 230 | 1166 | 990 | 862 | 337 | 391 | 1 | 907 | 627 | 1191 | 302 | 453 | 7457
Duplicates returned | 61 | 761 | 613 | 308 | 80 | 34 | 0 | 680 | 21 | 473 | 20 | 21 | 3072
Titles ordered | 179 | 405 | 377 | 554 | 257 | 357 | 1 | 247 | 606 | 718 | 282 | 432 | 4415
Titles claimed | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8
[NAME] added | 1109 | 700 | 1087 | 954 | 703 | 505 | 472 | 908 | 738 | 836 | 1215 | 1097 | 10324
- Firm orders added | 408 | 409 | 387 | 497 | 363 | 225 | 226 | 193 | 336 | 548 | 746 | 358 | 4696
- SO vols added | 60 | 12 | 31 | 5 | 44 | 47 | 0 | 100 | 37 | 24 | 55 | 21 | 436
- Gifts added | 366 | 0 | 405 | 179 | 29 | 233 | 0 | 278 | 136 | 36 | 204 | 357 | 2223
- Approvals added | 275 | 279 | 264 | 273 | 267 | 0 | 246 | 337 | 229 | 228 | 210 | 361 | 2969
Approvals returned
Microforms added | 18 | 0 | 0 | 0 | 18 | 0 | 0 | 17 | 0 | 18 | 0 | 0 | 71
Media added
Invoices processed | 127 | 150 | 266 | 81 | 95 | 62 | 29 | 83 | 66 | 72 | 91 | 55 | 1177
Spreadsheet: larry_campbell__20962__Performance Excel File
Sheet: ENRON6000

 | 1 | 2 | 3 | 4 | 5
Ambient Temperature (°C) | 15 | 20 | 25 | 30 | 35
Ambient Temperature (°F) | 59 | 68 | 77 | 86 | 95
Pressure (PSI) | 11.8 | 11.8 | 11.8 | 11.8 | 11.8
Elevation (ft ASL) | 6000 | 6000 | 6000 | 6000 | 6000
Relative Humidity (%) | 60 | 60 | 60 | 60 | 60
Mode | MD | MD | MD | MD | MD
Power Turbine | RT62 | RT62 | RT62 | RT62 | RT62
Limit | Base Co | Base Co | Base Co | Base Co | Base Co
Control Parameter | Rating | Rating | Rating | Rating | Rating
PT Speed (RPM) | Actual | Actual | Actual | Actual | Actual
PT Capacity Factor | 1 | 1 | 1 | 1 | 1
Bleed Take off | IP7 | IP7 | IP7 | IP7 | IP7
Nozzle Area (Sq In) | - | - | - | - | -
Combustor | DLE | DLE | DLE | DLE | DLE
Fuel | Nat Gas | Nat Gas | Nat Gas | Nat Gas | Nat Gas
Lower Cal Value (CHU/lb) | 11730 | 11730 | 11730 | 11730 | 11730
Lower Heating Value (Btu/lb)
Water Fuel Ratio | - | - | - | - | -
Water Temp (°C) | - | - | - | - | -
Losses | Mod | Mod | Mod | Mod | Mod
Inlet Loss (in H2O) | 2.5 | 2.5 | 2.5 | 2.5 | 2.5
Exhaust Loss (in H2O) | 4 | 4 | 4 | 4 | 4
Generator Efficiency (%) | - | - | - | - | -
[NAME] (%) | - | - | - | - | -
Brochure GG Power (EGHP) | - | - | - | - | -
Shaft Power (HP) | 29930 | 28614 | 27326 | 26049 | 24811
Heat Rate (BTU/HP.Hr) | 6905 | 6986 | 7077 | 7180 | 7293
Guarantee Power (HP) | 29930 | 28614 | 27326 | 26049 | 24811
Guarantee Heat Rate (BTU/HP.Hr) | 7112 | 7195 | 7289 | 7395 | 7512
BOV Status | Closed | Closed | Closed | Closed | Closed
IP Speed (RPM) | 6614 | 6624 | 6629 | 6634 | 6642
HP Speed (RPM) | 9308 | 9319 | 9334 | 9350 | 9371
PT Speed (RPM) | 4800 | 4800 | 4800 | 4800 | 4800
GG Inlet Flow (lb/s) | 158.2 | 153.5 | 148.9 | 144.3 | 139.7
Water Flow (lb/Hr) | - | - | - | - | -
Fuel Flow (lb/Hr) | 9788 | 9467 | 9159 | 8858 | 8571
GG [NAME] (lb/s) | 159.3 | 154.6 | 150 | 145.3 | 140.6
GG Exit Temp (K) | 1040 | 1040 | 1040 | 1040 | 1040
GG Exit Press (PSI) | 45.2 | 43.9 | 42.7 | 41.4 | 40.2
True PTET (Ref) (°C) | 779.1 | 779.1 | 779.1 | 779.1 | 779.1
PT [NAME] (lb/s) | 160.7 | 156 | 151.3 | 146.6 | 141.9
PT [NAME] (K) | 775.9 | 780.6 | 785.6 | 790.9 | 796.4
PT Exit Press (PSI) | 11.9 | 11.9 | 11.9 | 11.9 | 11.9
Message Code 1 | 301 | 301 | 301 | 301 | 301
Message Code 2 | 0 | 0 | 0 | 0 | 0
NOx (vppm) | 25 | 25 | 25 | 25 | 25
NOx (tons/yr)
CO (vppm) | 5 | 5 | 5 | 5 | 5
CO (tons/yr)
Spreadsheet: 186772d1350211562-converting-hours-in-minutes-productivity-report-draft
Sheet: Data

Weekly Production Productivity Chart
Date | Line No | Line Start time | Line End time | Production Time (Minutes) | Changeover  Time (Minutes) | Production Lost | Capacity | Net Capacity | Achieved | Production % |  | WTD Capacity | WTD Achieved | Percentage
2012-10-08 00:00:00 | 1 | 07:20:00 | 09:30:00 |  |  |  |  |  | 2291
2012-10-08 00:00:00 | 2 | 07:20:00 | 18:00:00 |  |  |  |  |  | 7692
2012-10-08 00:00:00 | 3 | 07:20:00 | 08:50:00 |  |  |  |  |  | 390
2012-10-08 00:00:00 | 3 | 09:10:00 | 11:15:00 |  |  |  |  |  | 1433
2012-10-08 00:00:00 | 1 | 09:50:00 | 12:00:00 |  |  |  |  |  | 2134
2012-10-08 00:00:00 | 3 | 11:35:00 | 14:00:00 |  |  |  |  |  | 1285
2012-10-08 00:00:00 | 3 | 14:20:00 | 16:45:00 |  |  |  |  |  | 1634
2012-10-08 00:00:00 | 1 | 13:20:00 | 15:00:00 |  |  |  |  |  | 2165
2012-10-08 00:00:00 | 1 | 15:20:00 | 18:00:00 |  |  |  |  |  | 2140
2012-10-08 00:00:00 | 3 | 17:10:00 | 18:00:00 |  |  |  |  |  | 500
I like to change the time from hours to minutes for example 2 hours 10 mins shoud be 130
Spreadsheet: 681522d1591625265-formula-to-update-data-on-two-tabs-in-multiple-tables-2020-06-08-oeldere0-lwthomp80-681520d1591624370-formula-to-update-data-on-two-tabs-in-multiple
Sheet: 4 States

Northeast |  |  |  | Northwest |  |  |  | Southeast |  |  |  | Southwest
State | Orders | Count |  | State | Orders | Count |  | State | Orders | Count |  | State | Orders | Count
CT | 5214 | 17 |  | AK | 409 | 1 |  | AL | 1657 | 16 |  | AZ | 4514 | 18
DE | 672 | 3 |  | IA | 2295 | 12 |  | AR | 1958 | 14 |  | CA | 14736 | 94
IL | 12306 | 44 |  | ID | 596 | 6 |  | FL | 9246 | 48 |  | CO | 4228 | 16
IN | 5559 | 27 |  | MT | 0 | 2 |  | GA | 4260 | 25 |  | HI | 551 | 5
MA | 4476 | 32 |  | ND | 985 | 7 |  | KY | 4486 | 21 |  | KS | 3680 | 17
MD | 5178 | 30 |  | OR | 3191 | 16 |  | LA | 2104 | 10 |  | NE | 1091 | 10
ME | 1164 | 7 |  | SD | 566 | 6 |  | MS | 709 | 4 |  | NM | 0 | 0
MI | 8594 | 44 |  | WA | 3511 | 22 |  | NC | 3734 | 25 |  | NV | 530 | 4
MN | 4299 | 28 |  | WI | 5828 | 35 |  | SC | 2342 | 21 |  | OK | 1469 | 18
MO | 6822 | 30 |  | WY | 0 | 1 |  | TN | 4514 | 23 |  | TX | 10720 | 65
NH | 978 | 7 |  |  |  |  |  |  |  |  |  | UT | 1957 | 14
NJ | 5789 | 34
NY | 13574 | 72
OH | 8860 | 39
PA | 12582 | 46
RI | 1160 | 8
VA | 5400 | 33
VT | 85 | 1
WV | 1051 | 3
Rijlabels | Aantal van Count | Som van Orders
Northeast | 19 | 103763
MA | 1 | 4476
CT | 1 | 5214
DE | 1 | 672
IL | 1 | 12306
IN | 1 | 5559
MD | 1 | 5178
ME | 1 | 1164
MI | 1 | 8594
MN | 1 | 4299
MO | 1 | 6822
NH | 1 | 978
NJ | 1 | 5789
NY | 1 | 13574
OH | 1 | 8860
PA | 1 | 12582
RI | 1 | 1160
VA | 1 | 5400
VT | 1 | 85
WV | 1 | 1051
Northwest | 10 | 17381
AK | 1 | 409
IA | 1 | 2295
ID | 1 | 596
MT | 1 | 0
ND | 1 | 985
OR | 1 | 3191
SD | 1 | 566
WA | 1 | 3511
WI | 1 | 5828
WY | 1 | 0
Southeast | 10 | 35010
AL | 1 | 1657
AR | 1 | 1958
FL | 1 | 9246
GA | 1 | 4260
KY | 1 | 4486
LA | 1 | 2104
MS | 1 | 709
NC | 1 | 3734
SC | 1 | 2342
TN | 1 | 4514
Southwest | 11 | 43476
AZ | 1 | 4514
CA | 1 | 14736
CO | 1 | 4228
HI | 1 | 551
KS | 1 | 3680
NE | 1 | 1091
NM | 1 | 0
NV | 1 | 530
OK | 1 | 1469
TX | 1 | 10720
UT | 1 | 1957
Eindtotaal | 50 | 199630
Spreadsheet: 170f4d43-4f74-4b58-9694-5e4f63b372fd
Sheet: Sheet1

2004 election for the Mayor of London | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8
London election results
Candidate name | Party |  | 1st choice votes | 1st choice % | 2nd choice votes | 2nd choice % | Valid 2nd choice votes * | Total votes
[NAME] | Labour Party |  | 685548 | 36.78452271466331 | 250517 | 15.74150000973959 | 142842 | 828390
[NAME] | Conservative Party |  | 542423 | 29.10484920743087 | 222559 | 13.98472958189517 | 124757 | 667180
[NAME] | Liberal Democrat |  | 284647 | 15.27333467118388 | 465704 | 29.26300219360668
[NAME] | UK Independence Pary |  | 115666 | 6.20630299310077 | 193157 | 12.13722389051948
[NAME] | Respect |  | 61731 | 3.312306901484478 | 63294 | 3.977145270047372
[NAME] | British National Party |  | 58407 | 3.133950676240525 | 70736 | 4.444771191930845
[NAME] | Green Party |  | 57332 | 3.076269285705854 | 208686 | 13.11300498981113
[NAME] | Christian Peoples Alliance |  | 41698 | 2.237394067455569 | 56721 | 3.564123880025864
[NAME] | Independent Working Class Action |  | 9542 | 0.5119961195179875 | 39678 | 2.493208993347547
[NAME] | Independent |  | 6692 | 0.3590733632167651 | 20391 | 1.28128999907631
* On papers where the 1st and 2nd choice votes are for the top two candidates, the 2nd choice votes are not counted
Electorate | 5197792
Papers counted/turnout | 1920560
[NAME] | 0.3695
Change in turnout from 2000 | 0.0255
Good votes (1st choice) | 1863686
Good votes (2nd choice) | 1591443
Rejected votes (1st choice) ** | 56874
Rejected votes (2nd choice) ** | 272239
** “Rejected votes” refers to ballot papers where the vote has not been counted because the ballot paper has not been filled out correctly. This may be because the ballot paper is blank, because the voter has marked more than one preference in one column, because the voter identified himself or herself on the ballot paper, if the voter’s intention is unclear or if the voter has spoiled his or her paper in any way.
Spreadsheet: 108609d1305642495-fining-the-first-2-digits-of-a-6-digit-number-timesheet-1
Sheet: Time Spent By Department

 | 01 - DEVELOPMENT
 | AK |  |  |  |  |  | SF |  |  |  |  |  | AF |  |  |  |  |  | CW |  |  |  |  |  | AJ |  |  |  |  |  | HOURS | COST (£)
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