tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 194297d1353096761-how-to-separate-a-single-column-of-text-cells-and-date-cells-example
Sheet: Sheet3

[NAME] | Forum Help Separated Name | Forum Help Separated Date | Test A | Test B | Test C | Total of highest scores
RED, GEORGE |  |  | 0 | 0 | 0 | 0
2009-12-30 00:00:00 |  |  | 0 | 0 | 162 | 162
YELLOW, MARTHA |  |  | 0 | 0 | 0 | 0
2005-02-05 00:00:00 |  |  | 178 | 174 | 182 | 534
ORANGE, CHRISTINA |  |  | 0 | 0 | 0 | 0
2011-11-02 00:00:00 |  |  | 171 | 168 | 173 | 512
GREEN, BARRY |  |  | 0 | 0 | 0 | 0
2010-11-12 00:00:00 |  |  | 174 | 173 | 171 | 518
2011-02-17 00:00:00 |  |  | 167 | 0 | 171 | 338
2011-03-17 00:00:00 |  |  | 0 | 0 | 171 | 171
BLUE, BOB |  |  | 0 | 0 | 0 | 0
2010-12-09 00:00:00 |  |  | 173 | 171 | 168 | 512
BROWN, JAN |  |  | 0 | 0 | 0 | 0
2011-07-27 00:00:00 |  |  | 178 | 172 | 180 | 530
BLACK, JOE |  |  | 0 | 0 | 0 | 0
2003-04-26 00:00:00 |  |  | 176 | 173 | 175 | 524
WHITE, SIMONE |  |  | 0 | 0 | 0 | 0
2006-11-29 00:00:00 |  |  | 0 | 174 | 0 | 174
2006-12-01 00:00:00 |  |  | 176 | 0 | 0 | 176
2006-12-02 00:00:00 |  |  | 0 | 0 | 164 | 164
2007-03-30 00:00:00 |  |  | 0 | 0 | 171 | 171
2007-04-27 00:00:00 |  |  | 0 | 0 | 164 | 164
2007-05-23 00:00:00 |  |  | 0 | 0 | 169 | 169
2007-08-02 00:00:00 |  |  | 0 | 0 | 175 | 175
GRAY, MONICA |  |  | 0 | 0 | 0 | 0
2004-08-16 00:00:00 |  |  | 169 | 0 | 0 | 169
2004-12-10 00:00:00 |  |  | 176 | 0 | 0 | 176
TAN, SUN |  |  | 0 | 0 | 0 | 0
2010-11-05 00:00:00 |  |  | 172 | 169 | 179 | 520
2011-03-05 00:00:00 |  |  | 174 | 171 | 0 | 345
Spreadsheet: 871002d1717477651-check-last-row-dup-input
Sheet: Sheet1

No | FirstName | Lastname | Nickname | Remark | Result
1 | [NAME] | [NAME] | A | E | N
2 | Mo | Aa | B | R | N
3 | Ty | er | r | A | N
4 | Ty | rt | C | R | N
5 | Ty | er | r | B | N
6 | Ty | rt | B | R | N
7 | Ty | rt | A | R | Y
8 | RW | rt | A | R | N
Spreadsheet: 35649d1233246742-worksheet-advanced-calculations-forum-sample
Sheet: Sheet1

Surname | Forename | Year | Form | DOB | Gender | Attendance | [NAME] | Art est D | [NAME] | Business Set | Business est D | Applied Business Predicted Grade | English Set | English est D | English Language Preducted Grade | [NAME] | Geography est D | Geography Predicted Grade | History Set | History est D | History Predicted Gtade | ICT Set | ICT est D | ICT Predicted Grade | Maths Set | Maths est D | Maths Predicted Grade | PE Studies Set | PE Studies est D | PE Studies Predicted Grade | RE Set | RE est D | RE Predicted Grade | Science Set | Science est D | Science Predicted Grade | Technology Set | Technology est D | Technology Predicted Grade
 |  | 10 |  | 17.10.2005 | M | 37.33% |  | C |  |  | C |  | 1 | E | X |  | E |  |  | F |  |  | C |  | 2 | E | X |  | D |  | 1 | E | X | 3 | F | X | 1 | D | X
 |  | 10 |  | 15.03.2004 | M | 70% |  |  |  |  |  |  | 2 | G | X |  |  |  |  |  |  |  |  |  | 3 | F | F |  |  |  | 4 | G | G | 3 | G | GG | 3 | G | X
 |  | 10 |  | 16.02.2006 | M | 36.67% |  | C |  |  | F |  | 3 | E | X |  | F |  |  | F |  |  | F |  | 3 | F | U |  | E |  | 2 | F | G | 3 | F | GG | 4 | E | X
 |  | 10 |  | 27.02.2005 | M | 36% |  | C |  |  | F |  | 2 | E | X |  | F |  |  | F |  |  | F |  | 3 | F | X |  | E |  | 2 | F | X | 4 | F | X | 5 | E | X
 |  | 10 |  | 29.05.2004 | F | 70.67% |  |  |  |  |  |  | 2 | F | C |  |  |  |  |  |  |  |  |  | 4 | F | G |  |  |  | 3 | G | G | 2 | F | GG | 1 | F | E
 |  | 10 |  | 23.06.1962 | F | 98.67% |  | C |  |  | C |  | 3 | E |  |  | E |  |  | F |  |  | C |  | 5 | F | X |  | D |  | 3 | E | X | 3 | E | X | 2 | D
 |  | 10 |  | 02.08.1958 | M | 98.67% |  | C |  |  | C |  | 4 | D | F |  | D |  |  | E |  |  | C |  | 5 | E | D |  | D |  | 5 | D | E | 1 | E | EE | 3 | C
Spreadsheet: 23074d1212479435-cant-get-indirect-to-work-in-combination-with-arrays-test1
Sheet: Data

Company | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21
1 | 13.45 | 14.9 | 16 | 16 | 15.5 | 15.5 | 15.9 | 15.9 | 15.9 | 15.9 | 15.7 | 15.7 | 15.6 | 15.6 | 16 | 15.8 | 14.6 | 13.3 | 13.6 | 13.8 | 14
2 | 187 | 188 | 183.5 | 187 | 189 | 186.5 | 187 | 191 | 195.5 | 193.5 | 193.5 | 198.5 | 193 | 192.5 | 196.5 | 192.5 | 190.5 | 191.5 | 194 | 196 | 194.5
3 | 139 | 139 | 139 | 139 | 139 | 139 | 139 | 139 | 139 | 139 | 139 | 139 | 139 | 139 | 130 | 130 | 130 | 130 | 130 | 130 | 130
4 | 119 | 113.5 | 115 | 113 | 113 | 112.25 | 111.75 | 111.25 | 110.25 | 109.75 | 105.75 | 108.5 | 108 | 110.5 | 107.25 | 104.75 | 106 | 104 | 111 | 108.5 | 109.25
5 | 97.75 | 98.5 | 98.25 | 99.5 | 99 | 99.75 | 100.25 | 101.75 | 103.5 | 102.25 | 104.25 | 104.5 | 102.5 | 103 | 105 | 99 | 100 | 101 | 102 | 103 | 104
Spreadsheet: andy_zipper__182__DYNEGY-ICE VOL May14
Sheet: E-Mail

 | 2001-05-14 00:00:00
 | Intercontinental Exchange |  |  |  | Enron's Activity on ICE
 | Commodity | ICE Volume | EOL US Volume (approx) |  | Enron Entity | Commodity | Deals | Volume
 | TOTAL POWER (MWH) |  | 3306714 |  | EPM | POWER
 | TOTAL GAS (MMBTU) |  |  |  | ENA | GAS
 | >ICE PHYSICAL GAS |  |  |  | ENA | CRUDE
 | >ICE FINANCIAL GAS |  |  |  | ECC
 | TOTAL CRUDE PRODUCTS (BBL)
 |  |  |  |  | Enron's Activity on Dynegy Direct
 |  |  |  |  | Enron Entity | Commodity | Deals | Volume
 |  |  |  |  | EPM | POWER
 |  |  |  |  | ENA | POWER
 |  |  |  |  | ENA | US NATURAL GAS
 |  |  |  |  | ENA | COAL
 |  |  |  |  | EGL | NATURAL GAS LIQUIDS
Spreadsheet: 12bf1985-ceef-44dc-b430-17db67bb01c4
Sheet: SPA

FY13 FRINGE BENEFIT WORKSHEET - SPA
Name:
TSSD: |  | Enter date
Years of State Service:
Description | Object Code | Factor | [NAME] | Annual | Monthly |  |  | Chart A
 |  |  |  |  |  |  |  | State Service | Percent |  | Years | Percent
Salary | 1210 |  |  |  |  |  |  | Less than 10 yrs | 0 |  | 1 | 0
 |  |  |  |  |  |  |  | 10 but less than 15 yrs | 0.015 |  | 2 | 0
Longevity Pay | 1271 | See Chart A |  |  |  |  |  | 15 but less than 20 yrs | 0.0225 |  | 3 | 0
 |  |  |  |  |  |  |  | 20 but less than 25 yrs | 0.0325 |  | 4 | 0
BENEFITS |  |  |  |  |  |  |  | 25 or more yrs | 0.045 |  | 5 | 0
 |  |  |  |  |  |  |  |  |  |  | 6 | 0
Social Security1 | 1812 |  |  |  |  |  |  |  |  |  | 7 | 0
 |  |  |  |  |  |  |  |  |  |  | 8 | 0
Medicare | 1813 |  |  |  |  |  |  |  |  |  | 9 | 0
 |  |  |  |  |  |  |  |  |  |  | 10 | 0.015
State Retirement2 | 1822 |  |  |  |  |  |  |  |  |  | 11 | 0.015
 |  |  |  |  |  |  |  |  |  |  | 12 | 0.015
Health Insurance | 1832 |  |  |  |  |  |  |  |  |  | 13 | 0.015
 |  |  |  |  |  |  |  |  |  |  | 14 | 0.015
Unemployment, workers compensation, etc . | 1892 |  |  |  |  |  |  |  |  |  | 15 | 0.0225
 |  |  |  |  |  |  |  |  |  |  | 16 | 0.0225
Transit Tax | 3914 |  |  |  |  |  |  |  |  |  | 17 | 0.0225
 |  |  |  |  |  |  |  |  |  |  | 18 | 0.0225
Severance Pay | 1251 |  |  |  |  |  |  |  |  |  | 19 | 0.0225
 |  |  |  |  |  |  |  |  |  |  | 20 | 0.0325
Communication Technologies Core Fee | 3225
Professional Liability | 1803 | Enter Amount |  |  |  |  |  |  |  |  | 21 | 0.0325
 |  |  |  |  |  |  |  |  |  |  | 22 | 0.0325
Total Benefits |  |  |  |  |  |  |  |  |  |  | 23 | 0.0325
TOTAL COMPENSATION |  |  |  |  |  |  |  |  |  |  | 24 | 0.0325
 |  |  |  | Benefits as % of Salary = |  |  |  |  |  |  | 25 | 0.045
NOTES: |  |  |  |  |  |  |  |  |  |  | 26 | 0.045
 |  |  |  |  |  |  |  |  |  |  | 27 | 0.045
 |  |  |  |  |  |  |  |  |  |  | 28 | 0.045
 |  |  |  |  |  |  |  |  |  |  | 29 | 0.045
 |  |  |  |  |  |  |  |  |  |  | 30 | 0.045
 |  |  |  |  |  |  |  |  |  |  | 31 | 0.045
 |  |  |  |  |  |  |  |  |  |  | 32 | 0.045
 |  |  |  |  |  |  |  |  |  |  | 33 | 0.045
 |  |  |  |  |  |  |  |  |  |  | 34 | 0.045
 |  |  |  |  |  |  |  |  |  |  | 35 | 0.045
Spreadsheet: 0a86c867-7e67-44be-a15e-161c0a0add9f
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 | Unnamed: 12 | Załącznik nr 3
 | INFORMACJA O NIEUDZIELENIU POMOCY PUBLICZNEJ W DANYM OKRESIE SPRAWOZDAWCZYM
 | I.    Pełna nazwa podmiotu uprawnionego do udzielania pomocy (PUP) |  |  |  |  |  |  |  | PUP:
 | II.   Numer identyfikacji podatkowej (NIP) podmiotu uprawnionego do udzielania pomocy |  |  |  |  |  |  |  | NIP:
 | III.  Kategoria podmiotu uprawnionego do udzielania pomocy  (skopiuj ze słownika) |  |  |  |  |  |  |  | KATEGORIA:
 | IV.  Siedziba podmiotu uprawnionego do udzielania pomocy |  |  |  |  |  |  |  | ADRES:
 |  | Informuję, iż w: |  |  | roku nie udzielono pomocy.
 | Dane osoby upoważnionej do przekazywania informacji:
 |  | Imię i nazwisko |  |  | [NAME] służbowe |  |  | Data |  | Telefon |  | Adres e-mail
Spreadsheet: 859294d1707733655-conference-room-calendar-untitled-spreadsheettest-version-3-aligw-calc-error
Sheet: Criterias

DAY | DATE |  |  | Month | Date | Time From | Time To | Room
 |  |  |  | January |  | 08:00:00 | 08:00:00 | R1
 |  |  |  | February |  | 08:30:00 | 08:30:00 | R2
 |  |  |  | March |  | 09:00:00 | 09:00:00
 |  |  |  | April |  | 09:30:00 | 09:30:00
 |  |  |  | May |  | 10:00:00 | 10:00:00
 |  |  |  | June |  | 10:30:00 | 10:30:00
 |  |  |  | July |  | 11:00:00 | 11:00:00
 |  |  |  | August |  | 11:30:00 | 11:30:00
 |  |  |  | September |  | 12:00:00 | 12:00:00
 |  |  |  | October |  | 12:30:00 | 12:30:00
 |  |  |  | November |  | 13:00:00 | 13:00:00
 |  |  |  | December |  | 13:30:00 | 13:30:00
 |  |  |  |  |  | 14:00:00 | 14:00:00
 |  |  |  |  |  | 14:30:00 | 14:30:00
 |  |  |  |  |  | 15:00:00 | 15:00:00
 |  |  |  |  |  | 15:30:00 | 15:30:00
 |  |  |  |  |  | 16:00:00 | 16:00:00
 |  |  |  |  |  | 16:30:00 | 16:30:00
 |  |  |  |  |  | 17:00:00 | 17:00:00
 |  |  |  |  |  | 17:30:00 | 17:30:00
 |  |  |  |  |  | 18:00:00 | 18:00:00
 |  |  |  |  |  | 18:30:00 | 18:30:00
 |  |  |  |  |  | 19:00:00 | 19:00:00
 |  |  |  |  |  | 19:30:00 | 19:30:00
 |  |  |  |  |  | 20:00:00 | 20:00:00
 |  |  |  |  |  | 20:30:00 | 20:30:00
 |  |  |  |  |  | 21:00:00 | 21:00:00
Spreadsheet: 21096b40-7180-4068-b434-35339ae51b9c
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
 | 8501.0 Retail Trade, Australia
 | TABLE 16. Retail Turnover ($ millions), Completely Enumerated sector: Australia
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
Turnover ;  Total CE and [NAME] ; |  |  | Original | [NAME] | 1994-04-01 00:00:00 | 2009-11-01 00:00:00 | 188 | $ Millions | FLOW | Month | 1
Turnover ;  Total CE and [NAME] ; |  |  | Seasonally Adjusted | A3350334L | 1994-04-01 00:00:00 | 2009-11-01 00:00:00 | 188 | $ Millions | FLOW | Month | 1
Turnover ;  Total CE and [NAME] ; |  |  | Trend | A3350340J | 1994-04-01 00:00:00 | 2009-11-01 00:00:00 | 188 | $ Millions | FLOW | Month | 1
% change from preceding month ;  Total CE and [NAME] ; |  |  | Original | A3350329V | 1994-04-01 00:00:00 | 2009-11-01 00:00:00 | 188 | Percent | PERCENT | Month | 1
% change from preceding month ;  Total CE and [NAME] ; |  |  | Seasonally Adjusted | A3350335R | 1994-04-01 00:00:00 | 2009-11-01 00:00:00 | 188 | Percent | PERCENT | Month | 1
% change from preceding month ;  Total CE and [NAME] ; |  |  | Trend | A3350341K | 1994-04-01 00:00:00 | 2009-11-01 00:00:00 | 188 | Percent | PERCENT | Month | 1
© Commonwealth of Australia  2010
Spreadsheet: james_steffes__12981__Savings_Analysis
Sheet:  Net Short Prices

Net Short Purchase Prices
Annual DWR Actual Avg. Purchase Price and Future Long-Term Average Contracted Prices ($/MWh)
 | Year | Contracted Prices
Jan-Apr Actual | 2001 | 284
May-Dec. | 2001 | 138
 | 2002 | 106
 | 2003 | 89
 | 2004 | 75
 | 2005 | 64
 | 2006 | 61
 | 2007 | 60
 | 2008 | 60
 | 2009 | 60
 | 2010 | 59
Avg. Across 10 yrs |  | 70
Avg. Across First 5 yrs |  | 84
Avg. Across Last 5 yrs |  | 60
DWR Quarterly Average Cost of Contract Energy 2001-03 ($/MWh)
 | Quarter | Contracted Prices
Actual (+ April) | Q1, 2001 | 284
May-June | Q2, 2001 | 130
 | Q3, 2001 | 138
 | Q4, 2001 | 142
 | Q1, 2002 | 106
 | Q2, 2002 | 107
 | Q3, 2002 | 111
 | Q4, 2002 | 100
 | Q1, 2003 | 91
 | Q2, 2003 | 93
 | Q3, 2003 | 91
 | Q4, 2003 | 84
Spreadsheet: jonathan_mckay__16910__Hillsboro Enterprises
Sheet: Deal Sheet

Enron Direct Deal Sheet |  |  |  |  |  |  |  |  |  |  |  |  | 1 | January
 |  |  |  |  |  |  |  |  |  |  |  |  | 2 | February
Counterparty Name: | Hillsboro Enterprises Inc. |  |  |  | Deal Date: |  |  |  |  |  |  |  | 3 | March
Originator: | Greg Frers |  |  |  | Deal ID #: |  |  |  |  |  |  |  | 4 | April
 |  |  |  |  |  |  |  |  |  |  |  |  | 5 | May
Deal Start Date: | 2001-10-01 00:00:00 |  |  |  | Unit of Measure: | GJ |  |  |  |  |  |  | 6 | June
Deal End Date: | 2002-09-30 00:00:00 |  |  |  | Volume (Monthly/Daily): | Monthly |  |  |  |  |  |  | 7 | July
Term Duration (months): |  |  |  |  |  |  |  |  |  |  |  |  | 8 | August
 |  |  |  |  | Price: |  |  |  |  |  |  |  | 9 | September
Fuel Rate %: | 0.01561 |  |  |  | Buy/Sell: |  |  |  |  |  |  |  | 10 | October
 |  |  |  |  |  |  |  |  |  |  |  |  | 11 | November
 |  |  |  |  |  |  |  |  |  |  |  |  | 12 | December
 | Month | Rate 11 Volume | Rate 13 Volume | Combined Volume | Fuel | Total
 | January | 0 | 1558
 | February | 0 | 1299
 | March | 0 | 1256
 | April | 0 | 1136
 | May | 0 | 864
 | June | 0 | 848
 | July | 0 | 487
 | August | 0 | 435
 | September | 0 | 922
 | October | 0 | 1236
 | November | 0 | 1361
 | December | 0 | 1541
 | TOTAL:
Spreadsheet: 674082d1587652681-sum-total-of-cells-that-contain-a-date-seems-simple-but-cannot-get-this-work-sum-up-the-total-entries
Sheet: Sheet1

Date of accident 1 | Risk Acc 1 | Date of accident 2 | Risk Acc 2 | Date of accident     3 | Risk Acc 3 | Date of accident 4
2020-01-12 00:00:00 |  | 2020-01-13 00:00:00 |  | 2020-01-12 00:00:00
2020-04-01 00:00:00 |  | 2014-01-01 00:00:00 |  | 2015-01-01 00:00:00 |  | 2016-01-01 00:00:00
2019-05-01 00:00:00
 |  | 2020-02-01 00:00:00
2020-04-03 00:00:00 |  |  |  | 2020-07-01 00:00:00
2020-04-01 00:00:00
Spreadsheet: 21cfb8cc-0546-4513-affb-a75861d52a41
Sheet: Denials 2009

MULTNOMAH COUNTY LOAN DENIAL RATES BY INCOME-RACE GROUPINGS : 2009
FHA Loans for Home Purchase & Occupation
I.  Total Applications
Race/Ethnicity | 0-30% MFI | 31-50% MFI | 51-80% MFI | 81-95% MFI | >95% MFI | Total
American Indian | 0 | 5 | 22 | 5 | 18 | 51
Asian | 3 | 23 | 77 | 25 | 77 | 207
Black or African American | 1 | 9 | 42 | 16 | 39 | 108
Native Hawaiian or Pacific Islander | 0 | 3 | 19 | 5 | 15 | 43
White | 19 | 268 | 1190 | 485 | 1250 | 3253
Hispanic | 4 | 30 | 122 | 37 | 68 | 264
Overall Total | 31 | 347 | 1448 | 573 | 1503 | 3954
II.  Total Denials
 | 0-30% MFI | 31-50% MFI | 51-80% MFI | 81-95% MFI | >95% MFI | Total
American Indian | 0 | 0 | 0 | 1 | 2 | 3
Asian | 0 | 10 | 12 | 2 | 15 | 40
Black or African American | 0 | 2 | 10 | 2 | 8 | 22
Native Hawaiian or Pacific Islander | 0 | 0 | 4 | 0 | 1 | 5
White | 15 | 51 | 127 | 59 | 114 | 373
Hispanic | 3 | 8 | 22 | 11 | 10 | 54
Overall Total | 16 | 70 | 169 | 64 | 154 | 480
III. Denial Rates (II/I) * 100
 | 0-30% MFI | 31-50% MFI | 51-80% MFI | 81-95% MFI | >95% MFI | Total
American Indian | 0
Asian
Black or African American
Native Hawaiian or Pacific Islander | 0
White
Hispanic
Overall Total
Source: HMDA (LAR)
Note: Data reported here is for Multnomah County. These are loans for the purpose of purchasing a home. The loans are for homes that are meant for a primary occupancy of the owner. These are all represented for conventional loans. For ethnic and racial breakout, these are loans originated by households where either the applicant or co-applicant are representative of that group.
Spreadsheet: 218362d1362435131-combining-if-formulas-combining-if-functions
Sheet: Sheet1

 |  |  | Break-Even Model
 |  |  | Income Assumptions |  |  |  |  |  | Flat rate Delivery Cost | 7609.549999999999 |  |  |  | False
 |  |  | Sales | 1332941
 |  |  | Grant | 89000
 |  |  |  |  |  |  |  |  | Discount | 92957.49 |  |  |  | False
 |  |  | Expenses Assumptions
 |  |  | Advertising | 360000
 |  |  | Delivery | 266779
 |  |  | Manufacturing Costs | 999706
 |  |  | [NAME] | 67795.00000000001
 |  |  | Profit:
Spreadsheet: 488091d1478490639-automated-model-help-data-flow-reporting-metrics1
Sheet: Sheet3

Average of Total days from date vendor submitted to start date | Column Labels
Row Labels | Humcap | Lucas Inc. | RH | ServTech | TEK
2015 Q4 |  |  |  |  | 60
2016 Q1 | 15.6 | 14.33333333333333 | 15.57142857142857 | 28 | 16.16666666666667
2016 Q2 | 17.0625 | 15.25 |  |  | 12.38095238095238
2016 Q3 | 14.22727272727273 | 16.33333333333333 |  |  | 16.04166666666667
2016 Q4 | 15.72413793103448 | 18.07142857142857 |  |  | 15.86666666666667
2017 Q1 | 66.66666666666667 | 68.86666666666666 |  |  | 70.6
2017 Q2 | 64.3225806451613 | 61.7 |  |  | 63.23333333333333
2017 Q3 | 66.8 | 67.29032258064517 |  |  | 65.41935483870968
2017 Q4 | 67.2258064516129 | 62.96666666666667 |  |  | 63.83870967741935
2018 Q1 | 80.33333333333333 | 50.25 |  |  | 64.33333333333333
Grand Total | 47.13366336633663 | 46.38613861386138 | 15.57142857142857 | 28 | 45.85990338164251
Spreadsheet: 783373d1654770793-different-date-format-in-a-data-query-help-excel
Sheet: GAPIII

GAPIII
Uge # | Antal oprettet | Oprettet rettidigt? | [NAME] [%] | Antal oprettet akkumuleret | Oprettet rettidigt akkumuleret | Oprettet rettidigt [%] akkumuleret | Target [%]
Y2022W1 |  |  |  |  |  |  | 100
Y2022W2 |  |  |  |  |  |  | 100
[NAME] |  |  |  |  |  |  | 100
Y2022W4 |  |  |  |  |  |  | 100
[NAME] |  |  |  |  |  |  | 100
Y2022W6 |  |  |  |  |  |  | 100
Y2022W7 |  |  |  |  |  |  | 100
Y2022W8 |  |  |  |  |  |  | 100
Y2022W9 |  |  |  |  |  |  | 100
Y2022W10 |  |  |  |  |  |  | 100
Y2022W11 |  |  |  |  |  |  | 100
Y2022W12 |  |  |  |  |  |  | 100
Y2022W13 |  |  |  |  |  |  | 100
Y2022W14 |  |  |  |  |  |  | 100
Y2022W15 |  |  |  |  |  |  | 100
Y2022W16 |  |  |  |  |  |  | 100
[NAME] |  |  |  |  |  |  | 100
Y2022W18 |  |  |  |  |  |  | 100
Y2022W19 |  |  |  |  |  |  | 100
Y2022W20 |  |  |  |  |  |  | 100
Y2022W21 |  |  |  |  |  |  | 100
Y2022W22 |  |  |  |  |  |  | 100
Y2022W23 |  |  |  |  |  |  | 100
Y2022W24 |  |  |  |  |  |  | 100
Y2022W25 |  |  |  |  |  |  | 100
Y2022W26 |  |  |  |  |  |  | 100
[NAME] |  |  |  |  |  |  | 100
Y2022W28 |  |  |  |  |  |  | 100
Y2022W29 |  |  |  |  |  |  | 100
Y2022W30 |  |  |  |  |  |  | 100
Y2022W31 |  |  |  |  |  |  | 100
Y2022W32 |  |  |  |  |  |  | 100
Y2022W33 |  |  |  |  |  |  | 100
Y2022W34 |  |  |  |  |  |  | 100
Y2022W35 |  |  |  |  |  |  | 100
Y2022W36 |  |  |  |  |  |  | 100
[NAME] |  |  |  |  |  |  | 100
Y2022W38 |  |  |  |  |  |  | 100
Y2022W39 |  |  |  |  |  |  | 100
Y2022W40 |  |  |  |  |  |  | 100
[NAME] |  |  |  |  |  |  | 100
Y2022W42 |  |  |  |  |  |  | 100
Y2022W43 |  |  |  |  |  |  | 100
Y2022W44 |  |  |  |  |  |  | 100
Y2022W45 |  |  |  |  |  |  | 100
Y2022W46 |  |  |  |  |  |  | 100
[NAME] |  |  |  |  |  |  | 100
Y2022W48 |  |  |  |  |  |  | 100
[NAME] |  |  |  |  |  |  | 100
Y2022W50 |  |  |  |  |  |  | 100
[NAME] |  |  |  |  |  |  | 100
Y2022W52 |  |  |  |  |  |  | 100
Spreadsheet: cooper_richey__4027__AB Power Fax
Sheet: Flat load

 |  | GFI Alberta Electricity Desk
 |  | [NAME] [PHONE]
2002-01-15 00:00:00 |  | [EMAIL]
 |  | FLAT | LOAD
 | Maturity | bid $/Mwh | ask $/Mwh
 | Day Ahead | 32 | 33
 | BOM | 30.5 | 31.5
 | 2002-02-01 00:00:00 | 31.5 | 32.75
 | 2002-03-01 00:00:00 | 31.75 | 32.75
 | 2002-04-02 00:00:00 | 29.25 | 31
 | Q2 2002 | 31.25 | 32.75
 | Q3 2002 | 34.75 | 36.25
 | Q4 2002 | 37.25 | 38.75
 | Feb/Dec 02 | 33.5 | 35
 | Cal 2003 | 36.5 | 38
Note:
GFI Brokers Limited ("GFI") has provided this information on the basis that its intended use is for indicative price only.
GFI provides no warranties as to the accuracy of this information.
GFI (and its affiliates) accept no liability whatsoever for any loss that may arise as a result of the provision and use of this information.
Spreadsheet: 878185d1725233170-reformat-formulas-as-very-manual-test2
Sheet: Sheet1

ORDER | SKU | Cost | WEIGHT | PALLET | CRATE | Box | Bag
 |  |  |  |  |  |  |  |  |  |  | Cost Value
Apple 500 g | APP500 |  |  |  |  |  |  |  |  |  | (E3*E2)+(F3*F2)+(G3*G2)+(H3*H2)
Apple 1 kg | App1000
Carrot 500 g | Car500
[NAME] | Car1000
XLOOKUP(1,('Costing and Recipe'!$A:$A=Sheet1!$A$3)*('Costing and Recipe'!C:C=Sheet1!$E$1),'Costing and Recipe'!$D:$D,"")
Spreadsheet: john_hodge__16248__THORNBOROUGH SUMMARY
Sheet: RISKS

Unexpected Additional Costs
Construction
Projected ROW costs are expected to be exorbitant.  Seventy-five feet working width was
 | used in the estimate however the actual width (in an effort to reduce the total cost)
 | may be less than 75 feet thus resulting in a higher lay cost.
Wet weather will require additional construction time which will increase lay cost.
If higher than normal water table encountered lay costs will increase.
Right of Way
Land prices are very expensive in the immediate area - possibly leading to increased
 | agent time, legal fees, etc.
Environmental
Construction in designated wetlands is not anticipated however nearby lake may be cause for
 | additional hay bales, silt fencing etc.
Although none is anticipated, state could require an archaeological dig along route.
Materials
Straight approach from FGT's mainline to meter station was assumed in estimate.  Pipe footage
 | could increase due to ROW deviations, or unexpected ENVR concerns, etc.
Spreadsheet: 809991d1671480916-finding-product-prices-with-criteria-task3
Sheet: Tabels 1,2

 |  | Segment | Sprzedaż w sztukach | Sprzedaż w euro
 |  | Eye Shadow
 |  | Lip Care
 |  | [NAME]
 |  | Lipstick
 |  | Mascara
 |  | Nail Treatments/Strengthener
 |  | Other Eye Make Up
 |  | Tabela 1
 |  |  | Product name | mark | Product price in euros
 |  | Product from the Lipstick segment with the lowest price in the segment
 |  | Product from the Lipstick segment with the highest price in the segment
 |  | Tabela 2