tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 0d78d623-b4a8-4e51-a6c9-1a6df8aaf04a
Sheet: Future Changes

Open Building Numbers for 2013-2014
AEA | District | District Name | School | Name | Comment
11 | 0261 | Ankeny | 0118 | Centennial High School | Fall 2013
11 | 0261 | Ankeny | 0227 | Southview Middle School | Fall 2013
Closed Building Numbers for 2013-2014
AEA | District | District Name | School | Name | Comment
Spreadsheet: 289786d1389693110-how-do-i-start-with-a-clean-page-everyday-whilst-retaining-the-data-buying-sheets-1-
Sheet: Sheet1

MORNING FRESH PURCHASING                  DATE: 12   /    /
PURCHASED FROM | PRODUCT | QUANTITY | COST | TOTAL | SUPPLIER TOTAL | FINAL TOTAL
THUROGOOD | BROCOLLI | 4 | 10 | 40
 | PARSNIPS | 10 | 4.5 | 45
 | COS | 5 | 7 | 35
 | JACKETS | 10 | 6.5 | 65
 | PEARS | 1 | 1 | 1
 | CARROTS | 20 | 4.2 | 84
 | LEEKS | 10 | 3.6 | 36
 | BABY LEAF | 2 | 5 | 10 | 316
PREMIER | BRAEBURN | 10 | 13.5 | 135
 | GRANNY | 10 | 12 | 120
 | SKINS | 20 | 14.5 | 290
 | KIWI | 10 | 3.7 | 37
 | PLUMS | 7 | 7.3 | 51.1
 | STRAWS | 30 | 14.4 | 432
 | PEARS | 11 | 121 | 1331
 | GFDDG | 23 | 12 | 276 | 2672.1
FRENCH GARDEN | DFGG | 12 | 13 | 156
 | DFGFDG | 45 | 0.8 | 36
 | FGFGF | 23 | 4 | 92
 | FDDGDF | 23 | 2 | 46
 | [NAME] | 32 | 13 | 416
 | ghgh | 2 | 4 | 8
 | [NAME] | 5 | 4 | 20 | 774
HG WALKER | [NAME] | 3 | 6 | 18
 | GHTYUTY | 5 | 2 | 10
 | UYJYIK | 7 | 30 | 210
 | TGTRGREG | 5 | 34 | 170
 | THTRY | 2 | 34 | 68
 | ETHTRH | 3 | 3 | 9
 | REGRT | 6 | 7 | 42 | 527.0000000000005
WORLD WIDE | BEANS | 10 | 6 | 60
 | FIG | 4 | 4 | 16
 | L ORANGE | 15 | 9 | 135
 | S ORANGE | 15 | 8.7 | 130.5
 | GHGH | 12 | 3 | 36
 | TYTYTY | 3 | 12 | 36 | 413.5
SIDE [NAME] | SPINACH | 12 | 12 | 144
 | PORK PIES | 21 | 0.18 | 3.78 | 147.7799999999997
 |  |  |  | 0
 |  |  |  | 0
Spreadsheet: 100890d1299100737-excel-2007-conditional-formatting-multiple-conditions-demo-customer-leads-template
Sheet: Assignment

State |  | ASM
AL |  | Agent 7
AK |  | Agent 6
AR |  | Agent 3
AZ |  | Agent 5
CA |  | Agent 5
CO |  | Agent 2
CT |  | Agent 6
DC |  | Agent 6
DE |  | Agent 6
FL |  | Agent 7
GA |  | Agent 7
HI |  | Agent 6
IA |  | Agent 3
ID |  | Agent 1
IL |  | Agent 6
IN |  | Agent 6
KS |  | Agent 4
KY |  | Agent 6
LA |  | Agent 4
MA |  | Agent 6
MD |  | Agent 6
ME |  | Agent 6
MI |  | Agent 6
MN |  | Agent 3
MO |  | Agent 3
MS |  | Agent 6
MT |  | Agent 1
NC |  | Agent 6
ND |  | Agent 3
NE |  | Agent 3
NH |  | Agent 6
NJ |  | Agent 6
NM |  | Agent 2
NV |  | Agent 5
NY |  | Agent 6
OH |  | Agent 6
OK |  | Agent 4
OR |  | Agent 1
PA |  | Agent 6
SC |  | Agent 6
SD |  | Agent 3
TN |  | Agent 6
TX |  | Agent 4
UT |  | Agent 2
VA |  | Agent 6
VT |  | Agent 6
WA |  | Agent 1
WI |  | Agent 6
WV |  | Agent 6
WY |  | Agent 2
Spreadsheet: 857967d1706795098-formula-import-and-export-inventory-according-to-expiration-date-and-age-of-inventory-nhap-xuat-ton-date-hongnhung88-
Sheet: Output

ENDING STOCKS |  |  | 2023-12-31 00:00:00 | AGE OF INVENTORY
PRODUCT | Date | AMOUNT |  | 0~120 DAYS | 120 DAYS~1 YEARS | 1 YEARS~ 2 YEARS | 2 YEARS~ 3 YEARS | > 3 YEARS
 |  |  |  |  |  | NHAP |  |  | XUAT
 |  |  | SL | DG | TT
 |  |  | 100 | 10000 |  | 25 | 10500 |  | 115
Spreadsheet: 0dba874b-c63f-48cf-9ffc-73da54a4b38d
Sheet: 3.4

Table 3.4: Average number of persons per room by country, residence and census year
Country | Census/Survey | Year | Urban | Rural | Camps | Total
Egypt
 | Census | 2006 | … | … | … | 1.13
Kuwait
 | Census | 2011 | … | … | … | 1.1
Morocco
 | Survey | 1999 | 2.6 | 2.6 | … | 2.6
 | Census | 2004 | 1.7 | 1.8 | … | 1.6
 | Survey | 2009 | … | … | … | 1.5
 | Survey | 2010 | … | … | … | 1.5
Oman
 | Census | 2010 | 2.3 | 2.7 | … | 2.4
Palestine
 | Census | 1997 | 1.9 | 2 | 2.1 | 2
 | Survey | 2003 | 1.9 | 1.9 | 2 | 1.9
 | Census | 2007 | 1.6 | 1.6 | 1.8 | 1.6
 | Survey | 2006 | 1.8 | 1.8 | 2 | 1.8
 | Survey | 2010 | 1.6 | 1.6 | 1.7 | 1.6
Syrian Arab Republic
 | Survey | 2001 | 1.6 | 2 | … | 1.8
 | Survey | 2009 | 1.7 | 2.1 | … | 1.9
Tunisia
 | Census
 | Survey
United Arab Emirates
 | Census | 1995 | 1.7 | 1.9 | … | 1.8
 | Census | 2005 | 1.3 | 1.5 | … | 1.4
Spreadsheet: 115307d1310968840-for-each-value-of-column-a-find-the-value-of-c-by-max-value-of-column-b-book1-1-
Sheet: Sheet1

company | date | price | date
walmart | 20091216 | 7.08
walmart | 20091216 | 7.01
walmart | 20091216 | 7.08
walmart | 20091216 | 7.62
walmart | 20091216 | 7.72
walmart | 20091216 | 7.08
walmart | 20091216 | 7.01
walmart | 20091216 | 7.08
walmart | 20091216 | 7.62
walmart | 20091216 | 7.72
walmart | 20091216 | 7.08
walmart | 20091216 | 7.01
walmart | 20100709 | 7.21
walmart | 20100713 | 7
walmart | 20100713 | 6.95
walmart | 20100721 | 7.547
walmart | 20100721 | 6.96
walmart | 20100729 | 7.2
walmart | 20100729 | 7.3
walmart | 20100729 | 7.35
walmart | 20100729 | 7.4
walmart | 20100729 | 7.29
walmart | 20100729 | 7.3
walmart | 20100729 | 7.55
walmart | 20100730 | 7.15
walmart | 20100730 | 7.25
walmart | 20100731 | 7.25
walmart | 20100731 | 6.65
walmart | 20100804 | 7.08
walmart | 20100805 | 7.26
walmart | 20100806 | 7.01
walmart | 20100817 | 7.08
walmart | 20100929 | 7.62
walmart | 20100930 | 7.72
google | 20100202 | 4.29
google | 20100203 | 4.22
google | 20100203 | 4.25
google | 20100203 | 4.25
google | 20100204 | 4.26
google | 20100204 | 4.22
google | 20100209 | 4.23
google | 20100210 | 4.24
google | 20100217 | 4.25
google | 20100308 | 4.21
google | 20100309 | 4.23
google | 20100318 | 4.21
google | 20100318 | 4.23
google | 20100318 | 4.27
google | 20100318 | 4.24
google | 20100318 | 4.24
google | 20100319 | 4.24
google | 20100319 | 4.25
google | 20100319 | 3.96
google | 20100319 | 4.18
google | 20100319 | 4.2
google | 20100319 | 4.24
google | 20100319 | 4.24
google | 20100319 | 4.22
google | 20100323 | 4.23
google | 20100406 | 4.26
google | 20100407 | 4.15
google | 20100415 | 4.1
google | 20100415 | 4.16
google | 20100421 | 4.17
google | 20100428 | 4.16
google | 20100428 | 4.15
google | 20100429 | 4.15
google | 20100429 | 4.16
google | 20100429 | 4.17
google | 20100429 | 4.26
google | 20100429 | 4.15
google | 20100429 | 4.1
google | 20100429 | 4.16
google | 20100429 | 4.17
google | 20100430 | 4.16
google | 20100430 | 4.15
google | 20100430 | 4.15
google | 20100504 | 4.16
google | 20100601 | 4.17
google | 20100702 | 4.26
google | 20100707 | 4.15
google | 20100707 | 4.1
google | 20100707 | 4.16
google | 20100709 | 4.17
google | 20100713 | 4.16
google | 20100713 | 4.15
3M | 20100127 | 2.49
3M | 20100127 | 2.42
3M | 20100127 | 2.54
3M | 20100127 | 2.5
3M | 20100127 | 2.35
3M | 20100128 | 2.26
3M | 20100128 | 2.3
3M | 20100128 | 2.39
3M | 20100128 | 2.3
3M | 20100128 | 2.61
3M | 20100128 | 2.56
3M | 20100202 | 2.5
3M | 20100203 | 2.5
3M | 20100203 | 2.6
Spreadsheet: 44936d1243684117-excel-2007-moving-data-into-different-cells-dependant-on-date-excel-forum-help-spreadsheet
Sheet: Mar

 | March 2009
 | INCOME | Invoice Reference | Actual |  | EXPENSES | Reference | Cost
 | Professional Fees |  | 0 |  | Petrol |  | 0
 | Travel Expenses Paid |  | 0 |  | Travel Expenses |  | 0
 | Other |  | 0 |  | Accomodation |  | 0
 | INCOME |  |  |  | Subsistence - Meals |  | 0
 | INCOME | Invoice Reference | Actual |  | NI Contribution |  | 0
 | Professional Fees |  | 0 |  | Phone |  | 0
 | Travel Expenses Paid |  | 0 |  | Internet |  | 0
 | Other |  | 0 |  | Clothing |  | 0
 | INCOME |  |  |  | Books / Periodicals |  | 0
 | INCOME | Invoice Reference | Actual |  | Union Subscription |  | 0
 | Professional Fees |  | 0 |  | Accountant Fees |  | 0
 | Travel Expenses Paid |  | 0 |  | IT Hardware |  | 0
 | Other |  | 0 |  | IT Software |  | 0
 | INCOME |  |  |  | Printing Consumables |  | 0
 | INCOME | Invoice Reference | Actual |  | Stationery |  | 0
 | Professional Fees |  | 0 |  | Postage |  | 0
 | Travel Expenses Paid |  | 0 |  | Marketing |  | 0
 | Other |  | 0 |  | Office Furniture |  | 0
 | INCOME |  |  |  | Other |  | 0
 | INCOME | Invoice Reference | Actual |  | TOTAL EXPENSES
 | Professional Fees |  | 0
 | Travel Expenses Paid |  | 0 |  |  | Key :
 | Other |  | 0 |  |  | Invoice Reference | [NAME]
 | INCOME |  |  |  |  | Invoice Reference | Payment Received
 | INCOME | Invoice Reference | Actual
 | Professional Fees |  | 0
 | Travel Expenses Paid |  | 0 |  |  | Total Income
 | Other |  | 0 |  |  | Total Expenses
 | INCOME |  |  |  |  | NET
Spreadsheet: 108748d1305734835-formulas-not-working-or-is-the-sheet-not-functioning-copy-of-sic-sow-diary
Sheet: June SIC Fliped

SIC Figures
 | Actual Start | Due to Start | Actual Complete | Due to [NAME] | SOWs Hit | SOWS Due | Daily %
2011-06-01 00:00:00 |  | 0 |  | 0 | 0 | 0 | #N/A
2011-06-02 00:00:00 |  | 0 |  | 0 | 0 | 0 | #N/A
2011-06-03 00:00:00 |  | 0 |  | 0 | 0 | 0 | #N/A
2011-06-04 00:00:00 |  | 0 |  | 0 | 0 | 0 | #N/A
2011-06-05 00:00:00 |  | 0 |  | 0 | 0 | 0 | #N/A
2011-06-06 00:00:00 |  | 0 |  | 0 | 0 | 0 | #N/A
2011-06-07 00:00:00 |  | 0 |  | 0 | 0 | 0 | #N/A
2011-06-08 00:00:00 |  | 0 |  | 0 | 0 | 0 | #N/A
2011-06-09 00:00:00 |  | 0 |  | 0 | 0 | 0 | #N/A
2011-06-10 00:00:00 |  | 0 |  | 0 | 0 | 0 | #N/A
2011-06-11 00:00:00 |  | 0 |  | 0 | 0 | 0 | #N/A
2011-06-12 00:00:00 |  | 0 |  | 0 | 0 | 0 | #N/A
2011-06-13 00:00:00 |  | 0 |  | 0 | 0 | 0 | #N/A
2011-06-14 00:00:00 |  | 0 |  | 0 | 0 | 0 | #N/A
2011-06-15 00:00:00 |  | 0 |  | 0 | 0 | 0 | #N/A
2011-06-16 00:00:00 |  | 0 |  | 0 | 0 | 0 | #N/A
2011-06-17 00:00:00 |  | 0 |  | 2 | 1 | 1 | 1
2011-06-18 00:00:00 |  | 3 |  | 3 | 0 | 0 | #N/A
2011-06-19 00:00:00 |  | 1 |  | 2 | 0 | 0 | #N/A
2011-06-20 00:00:00 |  | 0 |  | 0 | 0 | 0 | #N/A
2011-06-21 00:00:00 |  | 0 |  | 0 | 0 | 0 | #N/A
2011-06-22 00:00:00 |  | 0 |  | 0 | 0 | 0 | #N/A
2011-06-23 00:00:00 |  | 0 |  | 0 | 0 | 0 | #N/A
2011-06-24 00:00:00 |  | 0 |  | 0 | 0 | 0 | #N/A
2011-06-25 00:00:00 |  | 0 |  | 0 | 0 | 0 | #N/A
2011-06-26 00:00:00 |  | 0 |  | 0 | 0 | 0 | #N/A
2011-06-27 00:00:00 |  | 0 |  | 0 | 0 | 0 | #N/A
2011-06-28 00:00:00 |  | 0 |  | 0 | 0 | 0 | #N/A
2011-06-29 00:00:00 |  | 0 |  | 0 | 0 | 0 | #N/A
2011-06-30 00:00:00 |  | 0 |  | 0 | 0 | 0 | #N/A
Total for Month | 0 | 4 | 0 | 7 | 1 | 1 | 1
Spreadsheet: 117911d1313225334-how-to-extract-info-from-one-column-based-on-anothers-data-weekly-planner-generic-template
Sheet: Planner by Job

 | Monday | Tuesday | Wednesday | Thursday | Friday
Job
Job 3
Job 4
Job 5
Job 6
Job 7
Job 8
Job 11
Job 12
Job 14
Job 21
Job 31
Job 33
Job 36
Job 43
Job 51
Job 55
Job 77
Spreadsheet: 0d559763-5d18-41d8-aacd-eba6e073d806
Sheet: NWX Sprints

NWX Sprints
Place | Car # | Name | 2014-04-19 00:00:00 | Total Points
1900-01-01 00:00:00 | 3 | [NAME] | 66 | 66
2 | 4 | [NAME] | 66 | 66
3 | 21 | [NAME] | 59 | 59
4 | 70 | [NAME] | 57 | 57
5 | 57 | [NAME] | 53 | 53
6 | 5D | [NAME] | 52 | 52
7 | 10K | [NAME] | 51 | 51
8 | 71JR | [NAME] | 15 | 15
9 | 75 | [NAME] | 10 | 10
Spreadsheet: jeff_dasovich__14103__California PJM and NE Tables revised2
Sheet: A8

TABLE A8 FREQUENCY OF PRICE SPIKES IN CALIFORNIA ISO DOWNWARD REGULATION MARKET SP15
PRICE EQUALS OR EXCEEDS | FY 00/99 | FY 99/98
 | # of hours
 | % of available hours
100 | 242 | NA
 | 0.0277
250 | 94 | NA
 | 0.0107
500 | 19 | NA
 | 0.00216
750 | 0 | NA
 | 0
1000 | 0 | NA
 | 0
Source: CAISO website (www.caiso.com)
FY 00/99: 8/1/1999-7/31/2000
FY 99/98: 8/1/1998-7/31/1999
Spreadsheet: 860445d1708533049-fill-a-sheet-based-on-data-entered-manually-in-another-sheet-sample-workbook-35-aligw
Sheet: Sheet1

Vessel | Product | Weight (kg) | Volume (L) | Abv (%) | LAA Dec. | LAA Jan. | LABS Change | Base Spirit
1A |  | 57 | 58 | 0 | 52 | 0
1B |  | 5 | 6 | 0 | 48 | 0
2A |  | 36 | 37 | 0 | 31 | 0
2B |  | 13 | 14 | 0 | 0 | 0
3A |  | 41 | 42 | 0 | 25 | 0
3B |  | 17 | 18 | 0 | 60 | 0
4A |  | 20 | 22 | 0 | 7 | 0
4B |  | 16 | 17 | 0 | 46 | 0
5A |  | 39 | 40 | 0 | 50 | 0
5B |  | 23 | 24 | 0 | 12 | 0
Spreadsheet: 879548d1727123521-dynamic-page-breaks-loader-paperwork-template-copy
Sheet: FINAL

[NAME] | TO # | Location | QTY | XX | Extended Material Description | Material Description | SO*Line | [NAME] | Ship-to Name | Delivery | SqSt
 |  | 2339 | 1 | EA | Window | DH | 5110052*10 | [PHONE] | YOUR COMPANY | 94309329 | 4
 | 352696 | 2336 | 2 | EA | Door | DOOR | 5104896*40 | [PHONE] | YOUR COMPANY | 94301030 | 3
 | 352694 | 2329 | 216 | LF | Window | DH | 5104896*20 | [PHONE] | YOUR COMPANY | 94301030 | 3
 | 352705 | 2329 | 1 | EA | Lineal | XJ | 5060616*50 | [PHONE] | YOUR COMPANY | 94309224 | 3
 | 352599 | 2326 | 1 | EA | Window | SH | 9728645*220 | [PHONE] | MY COMPANY | 94303822 | 6
 | 352600 | 2326 | 1 | EA | Part | Crank | 3888645*230 | [PHONE] | MY COMPANY | 94303822 | 6
 | 352718 | 2339 | 2 | EA | Part | Crank | 5107215*130 | [PHONE] | MY COMPANY | 94301038 | 4
 | 352707 | 2329 | 1 | EA | Window | CASEMENT | 5065220*50 | [PHONE] | MY COMPANY | 94309232 | 3
 | 352708 | 2329 | 1 | EA | Window | SH | 5065220*60 | [PHONE] | MY COMPANY | 94309232 | 3
 | 352604 | 2339 | 1 | EA | Door | DOOR | 5085739*40 | [PHONE] | HIS COMPANY | 94309287 | 3
 | 352698 | 2336 | 20 | EA | Part | Crank | 5114524*10 | [PHONE] | HIS COMPANY | 94301065 | 3
 | 352717 | 2339 | 2 | EA | Door | DOOR | 5107215*120 | [PHONE] | HER COMPANY | 94301038 | 4
 | 352695 | 2337 | 16 | LF | Window | SH | 5104896*30 | [PHONE] | HER COMPANY | 94301030 | 3
Spreadsheet: 865154d1712206908-formula-that-will-pick-up-a-change-only-for-that-row-test3-ans
Sheet: Expecting

 | Manual Entry |  | uses lookups |  | Assigns the Zone value in column D to each room that belongs to the same zone | Concats with columns H and J to form column I. Needed this to be able to create a unique instance in case I had rooms with identical names |  | Concatenated result. | uses lookups
 |  | Contains formulas | Contains formulas |  | Contains formulas | Contains formulas | Contains formulas | Contains formulas | Contains formulas
 | Number | Autofill | Layout |  | Helper Column | Helper Column | Helper Column | Helper Column | Rooms
 | ABC-DD- | Tag | Zone |  | 1 | 2 | 3 | 4 |  |  | EXPECTED
Group | 1 |  | A1 |  |  |  |  |  | Restroom 1 |  | ABC-DD-01
Group | 2 |  | A3 |  |  |  |  |  | Bed 1 |  | ABC-DD-02
Group but interupted.  if I insert a number here, cell H38 should update but without impacting the cell below, H39, which should still read ABC-DD-03 | 3 |  | A9 |  |  |  |  |  | Bed 1 |  | ABC-DD-03
 |  |  |  |  |  |  |  |  | Bed 2 |  | ABC-DD-03
 | 10 |  |  |  |  |  |  |  | Bed 3 |  | ABC-DD-10
 |  |  |  |  |  |  |  |  | Bed 3 |  | ABC-DD-03
Group | 8 |  | A6 |  |  |  |  |  | Kitchen |  | ABC-DD-08
 |  |  |  |  |  |  |  |  | Dining |  | ABC-DD-08
Group | 5 |  | A4 |  |  |  |  |  | Living 1 |  | ABC-DD-05
Group | 6 |  | A2 |  |  |  |  |  | Study |  | ABC-DD-06
 |  |  |  |  |  |  |  |  | Lounge |  | ABC-DD-06
 |  |  |  |  |  |  |  |  | Powder |  | ABC-DD-06
 |  |  |  |  |  |  |  |  | Study 2 |  | ABC-DD-06
 |  |  |  |  |  |  | Final result
Spreadsheet: c49ab4c9-efbd-4c14-a3be-803c2cca4d60
Sheet: Sheet1

2010 Gulf Coast Science & Technology Job Fair Employer Attendees | Unnamed: 1 | Unnamed: 2
ORGANIZATION | WEBSITE | MAJORS
AARC Environmental, Inc. | www.aarcenv.com | Administrative/Support Services, Business Development, Consulting, Customer Service  Environmental, Health and Safety/Industrial Hygiene
Access Sciences Corporation | www.accesssciences.com | Business Administration, Computer Science,  Communication, Computer Information Systems,  Management Information Systems, Computer Engineering, MBA - General, MBA - Management Information Systems, MBA - Management of Technology, MBA - Human Resources Management, Library Science, Information Technology, School Library and Information Science
City of Houston Department of Health & Human Services | www.houstontx.gov | Bachelor of Science,  Master of Health Administration, Master of Science
FBI | fbijobs.gov | All Science Majors Accounting, Biochemistry, Chemical Physics Computer Engineering, Computer Information Systems Computer Science, Electrical & Computer Engineering Electronic & Computer Technology Electronic Engineering, Engineering Finance, Information Systems Technology Management Information Systems, Mathematics Mechanical Engineering, Physical Science, Spanish
Flow-Cal, Inc | www.flowcal.com | Programming, Software Development
Harris County Department of Education | http://www.hcde-texas.org | Teaching/Education Positions Available
Kelly Scientific Resources | www.kellyscientific.com | Biology, Chemistry, Botany, Environmental Science, Bio Sci, Chemical Engineering, Industrial Technology, Environmental Geology & Technology,  Industrial Hygiene/Safety, Atmospheric Science, Microbiology, Geology, Biotechnology
On Assignment Lab Support | www.oalabbsupport.com | Bachelor of Science, Masters of Science
Region 4 Alternative Certification Program | www.region4acp.net | All Majors
SoftNice, Inc. | http://www.softnice.com | Master in Science, MBA/MHA,  Programming/Software Development
Target Corporation | http://www.Target.com/campus | Law Enforcement, Pharmaceutical/Biotech
Techgene Solutions LLC | www.techgene.com | Master in Science, Consulting, Engineering,  Information Management, Information Technology
Texas Department of Public Safety | www.txdps.state.tx.us | All Majors
Texas Teachers Alternative Certification | www.TexasTeachers.org | All Majors
The Reynolds & Reynolds Company | www.reyrey.com | Consulting, Information Technology
The Student Conservation Association | www.thesca.org | All Majors
University of Texas Medical Branch | www.utmb.edu | For a list of all current openings please visit us online www.utmb.edu/hcm
US Army Corps of Engineers, Galveston District | www.swg.usace.army.mil | For a list of all current openings please visit us online  www.swg.usace.army.mil
 |  | Last Updated 9/20/10 9:42AM
Spreadsheet: 34634178-85f9-406a-a696-d419205d4317
Sheet: GhGE_Reductions

 | Vehicle Trips Saved Calculation
 | Total Vehicle Trips per year reduced for commuting to work only: 60,122
 |  | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9
 | Round Trip Length in miles | Number of Trips | Total Miles | Total Gas in gallons | Total Cost saved through gas reduction | Total CO2 Ton Emmissions | Reduced NOx tons | Reduced SOx tons | Reduced VOC tons | Reduced PM10 tons
 | 1
 | 2
 | 3
 | 4
 | 5
 | 6
 | 7
 | 8
 | 9
 | 10
 | 14
 | 16
 | 20
 | Total | 60122
 | 1. Total Number of Trips is based on 289 new commuters x 4 days per week x 52 weeks per year
 | 3.  Gallons of gas is averaged at 20.3mpg using EPA MOBILE6.2 Fuel economy calculation
 | 4. Cost savings through reduced gas is calculated at $3.90/gallon - current Humboldt County Price is $4.03/gallon
 | 5. See below calculation for total CO2 emmissions
 | 6-9. NOx, SOx, VOC and PM10 are calculated using ICLEI's emissions calculator software
 | [NAME]
 | EPA MOBILE6.2 fuel economy numbers
 | Metric tons of CO2e for the average passenger vehicle =
 | (VMT/passenger vehicle avg. MPG) x CO2 per [NAME] (100/95) /1000 =
 | (12,000/20.3) x 8.8 x (100/95)/1000 =
 | 5.48 metric tons CO2e for the average passenger vehicle (1.49 metric tons CE)
 | NOx, SOx, VOC and PM10 are calculated using ICLEI's emissions calculator software
Spreadsheet: 841772d1693932113-hint-how-to-compare-two-tables-with-different-number-of-rows-example_comparedb
Sheet: Plan_Mar23

 |  | Planned funds Mar 2023
 | Service ID | Servise name | Departament 1 Plan | Departament 2 Plan | Departament 3 Plan
 | 1-III | Cleaning service | 800 | 450 | 150
 | 1.1-III | Snow plow service | 270 | 220 | 400
 | 2-III | Cleaning supplies | 450 | 380 | 300
 | 3-III | Electicity delivered | 800 | 905 | 600
 | 4-III | Water delivered | 450 | 400 | 158
 | 5-III | Food expenses | 335 | 650 | 340
 | 6-III | Cloths expenses | 221 | 500 | 200
 | 7-III | Heat supply | 300 | 400 | 400
 | 8-III | Garden preparation activities | 330 | 330 | 370
Spreadsheet: daren_farmer__5713__HPLN0206
Sheet: Sheet1

HPLN0206.XLS |  | Fax # [PHONE]
TO:  DARREN FARMER / ENRON;  CARY METZ / ENRON;  [NAME] / HPL;  LIZ BELLAMY / ENRON
FROM:  MELISSA JONES - TXU ELECTRIC & GAS  (TU ELECTRIC)
SUBJECT:  TXU FUELS NOMINATION - February 06, 2001
 |  |  |  |  |  | **Tuesday
HPL AND ENRON NOMINATIONS: |  |  |  |  |  | 2001-02-06 00:00:00
 |  |  |  |  |  | Eff. 0900 hrs.
 |  |  |  |  | PRIOR | NOMINATED
CONTRACT |  | DELIVERY POINT |  | Upstream
 |  | Firm Summary
 |  | Enron North America Spot/3959
OTHER ENRON/HPL TRANSPORTS: |  |  |  | Downstream
 |  | Total Other Transports:
NOTE:  Additional swing volumes may be requested at Teco Tap, or Texoma by TUFCO Gas Control under either the
Wagner Brown K# 1901 or HPL K# 3949 agreements.
*  Nominations to continue until TU Electric changes such nominations.
CC:   [NAME] | [NAME]
R. Skerik | [NAME]
G. Green | K. English
B. Fleming | GCC Dispatcher
Spreadsheet: 863376d1710879581-need-help-totaling-based-on-selections-mix-id-calculator-tier
Sheet: Residential Select Tab

 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Rev. 3/14/2024
Residential Mix ID Calculator
Tier | Mix ID | Add On |  |  |  |  |  |  |  |  |  | Distance | Total
T1
 |  | Air | HRWR | 3/8 Agg | [NAME] | 1%Retard | 2%Retard | 3%Retard | Fiber | SRA | SS
 | RES306 | False | False | False | False | False | False | False | False | False | False | 1-10
Spreadsheet: 714400d1611217163-sumproduct-iferror-help-needed-workig-file
Sheet: ENTRY

NUMBER | serial | ext | survey | totalext | crop | cropext | name as per bank | aadhar name | smart card | mobile | acc | bank | [NAME] | micr
721468155261
968047478678
558862288012
597882830394
399900960516
394588931704
214880810005
840352530148
827853029063
363276262465
472116109840
888443886880
483278995489
458020255975
385291345637
507145249800
994588620209
897818448887
350910187470
635340796248
342276210202
709310903391
274726168458
989685953421
507468221728
698122155915
404673635421
576977801502
416252875853
201328094894
881700929090
940465231889
780600840974
420476284557
740252787736
573639020337
573275752520
607424311888
763383563525
987906951019
655773911445
732333003115
963258385708
494728102774
505632342203
245755630955
603386751964
810829261815
703539890657
561598098569
619313011545
693578007959
430570964109
679224591379
325610712737
630928545676
937167810080
371226046753
740222514316
611912683888
885243644294
554777273528
552529500854
959632508807
358499405281
256242713615 |  |  | 108--
955858359065 |  |  | 93--
826706848246
625546448059
315815792660
893378791115
823757444311
447249375852
707814348159
590016634753
594044027725
893336946397
822769047145
203048866149
716800274959
545440484267
477644154278
402418208184
556515541498
766456060526
318109223507
633884781867
501173918273
587779773640
352912009909
955463425027
652885776075
573027861381
610655245644
735700984298
370464426681
237636028359
762818705508
643573434719
964631323046
990727020614
679478590938
968167010499
868241651090
654384006450
734739314878
776890526946
867959747088
468727892883
912543297977
402930281417
622686104331
623914051773
451036809220
920201997069
908428507962
850821400940
252889501962
386797707260
375779898935
861541642277
495205971521
605315820358
279071201872
899807296688
824415066093
644546513242
829412958589
701862963251
317390933614
688282937240
891008501313
425358764814
383500920069
707848393916
878736280278
451828146705
688170502234
481347258638
866521427291
544817108103
424871238953
758601256055
535286845884
611729210757
516519797999
633625335557
772245648352
409207086978
564033834134
837607689065
782226321970
607915727072
908921340810
315609231337
519701877407
604498111914
381807369641
556595317945
289141454821
675361867392
960670905959
541398733094
986135748691
586285919483
362968736694
768964097182
436443767411
721297532815
904704913240
692959113936
723061128124
349042051324
987294550265
416346574784
643433756681
476790809364
259853454017
317550675147
713722500483
963483740465
257211302149
627068500504
418064932515
330934732470
Spreadsheet: 828373d1683459062-most-frequent-text-with-criteria-excel-dunk-data
Sheet: Analysis

 |  | Analysis
 |  |  | Player Name |  |  |  |  |  |  |  |  |  | Number of Successful Dunks |  |  | Ranking of Total Dunks |  | Most Assists |  | Number of Assisted Dunks
 |  | 1 | [NAME]
 |  | 2 | Mason Plumlee
 |  | 3 | [NAME]
 |  | 4 | Nikola Jokić
 |  | 5 | [NAME]
 |  | 6 | [NAME]
 |  | 7 | [NAME]
 |  | 8 | [NAME]
 |  | 9 | [NAME]
 |  | 10 | Domantas Sabonis
 |  | 11 | [NAME]
 |  | 12 | [NAME]
 |  | 13 | [NAME]
 |  | 14 | [NAME]
 |  | 15 | [NAME]
 |  | 16 | [NAME]
 |  | 17 | [NAME]
 |  | 18 | [NAME]
 |  | 19 | [NAME]
 |  | 20 | [NAME]
 |  | 21 | [NAME]