tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 144790d1331138228-sumproduct-with-multiple-citeria-and-between-dates-accident-reporting
Sheet: Graphs

# of employees | FY | Period | Total Accidents | Total Incidents | Total Near Misses | Total Major | Total Ill Health | Total Occurences | Trackables | Reportables | Actual AIR this period | Rolling AIR Current | Actual Rolling AIR
256 | 2012 | 10
300 | 2012 | 11
600 | 2012 | 12
Start Date | 2012-05-10 00:00:00
End Date | 2012-08-19 00:00:00
Dept | Accidents | Incidents | Near Misses | Major | Ill Health | Total Occurences
Ancillary | 0 | 0 | 0 | 0 | 0 | 0
Deboning | 0 | 0 | 0 | 0 | 0 | 0
Despatch | 0 | 0 | 0 | 0 | 0 | 0
Engineering | 0 | 0 | 0 | 0 | 0 | 0
EV | 0 | 0 | 0 | 0 | 0 | 0
FP | 0 | 0 | 0 | 0 | 0 | 0
Fresh | 0 | 0 | 0 | 0 | 0 | 0
Fryline | 0 | 0 | 0 | 0 | 0 | 0
Kill | 0 | 0 | 0 | 0 | 0 | 0
Sanitation | 0 | 0 | 0 | 0 | 0 | 0
Trimming | 0 | 0 | 0 | 0 | 0 | 0
0
0 |  | 0
0
0
0
0
0
0
0
Total
Nature of Accidents | Total Accidents
Contact with machinery or material being machined | 0
Cuts / Lacerations | 0
Drowned or asphyxiated | 0
Exposed to fire, heat, hot surface and/or explosion | 0
Exposed to, or in contact with a harmful substance | 0
Fall from height less than 2 metres | 0
Fall from height more than 2 metres | 0
Hand tools (power or hand operated) | 0
Hit by a moving, flying or falling object | 0
Hit by moving vehicle | 0
Hit something fixed or stationary | 0
Manual handling, lifting or carrying | 0
Physically assaulted by a person | 0
Slipped, tripped or fell on the same level | 0
Transport accident | 0
Trapped by something collapsing | 0
Other | 0
Spreadsheet: mike_grigsby__27817__TexacoPG&ETopock deals
Sheet: 695538

Deal Id | 695358 |  |  |  |  |  | Original Deal Volume |  |  |  | Deal Price
Month | 2001-04-01 00:00:00 |  |  |  |  |  | 15000 |  |  |  | 7.1
 |  | Pipe | Zone | MeterCode
 |  | PG&E |  |  | Sum
 |  | SBELP TPCK |  | Sum |  |  |  |  |  | PG&E Large Packages |  |  | Contract |  | PG&E Large Packages
 | Date | EP0202RSB - SB-EPNG/ | Sum |  |  |  | Volume Cut | Make Up Allocation |  | Gas Daily Price |  |  | Penalty |  | Gas Daily Hi Price |  | Hi - Penalty
 | 1 |  |  |  |  |  |  | 0 |  | 7.65 |  |  |  |  | 8.31
 | 2 | 12901 | 12901 | 12901 | 12901 |  |  |  |  | 7.65 |  |  |  |  | 8.31
 | 3 | 14291 | 14291 | 14291 | 14291 |  |  |  |  | 6.035 |  |  |  |  | 6.66
 | 4 | 13755 | 13755 | 13755 | 13755 |  |  |  |  | 7.96 |  |  |  |  | 9.3
 | 5 | 11776 | 11776 | 11776 | 11776 |  |  |  |  | 10.895 |  |  |  |  | 12.12
 | 6 | 15503 | 15503 | 15503 | 15503 |  |  |  |  | 11.59 |  |  |  |  | 12.99
 | 7 | 8323 | 8323 | 8323 | 8323 |  |  |  |  | 11.83 |  |  |  |  | 12.24
 | 8 | 11990 | 11990 | 11990 | 11990 |  |  |  |  | 11.83 |  |  |  |  | 12.24
 | 9 | 928 | 928 | 928 | 928 |  |  |  |  | 11.83 |  |  |  |  | 12.24
 | 10 | 15000 | 15000 | 15000 | 15000 |  |  |  |  | 11.575 |  |  |  |  | 12.25
 | 11 | 15000 | 15000 | 15000 | 15000 |  |  |  |  | 11.73 |  |  |  |  | 11.93
 | 12 | 15000 | 15000 | 15000 | 15000 |  |  |  |  | 11.62 |  |  |  |  | 12.23
 | 13 | 15000 | 15000 | 15000 | 15000 |  |  |  |  | 11.805 |  |  |  |  | 12.3
 | 14 | 15000 | 15000 | 15000 | 15000 |  |  |  |  | 11.805 |  |  |  |  | 12.3
 | 15 | 15000 | 15000 | 15000 | 15000 |  |  |  |  | 11.805 |  |  |  |  | 12.3
 | 16 | 15000 | 15000 | 15000 | 15000 |  |  |  |  | 11.805 |  |  |  |  | 12.3
 | 17 | 15000 | 15000 | 15000 | 15000 |  |  |  |  | 11.775 |  |  |  |  | 12
 | 18 | 15000 | 15000 | 15000 | 15000 |  |  |  |  | 11.42 |  |  |  |  | 11.9
 | 19 | 15000 | 15000 | 15000 | 15000 |  |  |  |  | 11.37 |  |  |  |  | 11.9
 | 20 | 15000 | 15000 | 15000 | 15000 |  |  |  |  | 11.045 |  |  |  |  | 11.67
 | 21 | 15000 | 15000 | 15000 | 15000 |  |  |  |  | 10.67 |  |  |  |  | 11.23
 | 22 | 6165 | 6165 | 6165 | 6165 |  |  |  |  | 10.67 |  |  |  |  | 11.23
 | 23 | 15000 | 15000 | 15000 | 15000 |  |  |  |  | 10.67 |  |  |  |  | 11.23
 | 24 | 15000 | 15000 | 15000 | 15000 |  |  |  |  | 10.855 |  |  |  |  | 11.42
 | 25 | 30000 | 30000 | 30000 | 30000 |  |  |  |  | 11.995 |  |  |  |  | 12.6
 | 26 | 15000 | 15000 | 15000 | 15000 |  |  |  |  | 12.52 |  |  |  |  | 13.1
 | 27 | 15000 | 15000 | 15000 | 15000 |  |  |  |  | 12.105 |  |  |  |  | 12.6
 | 28 | 15000 | 15000 | 15000 | 15000 |  |  |  |  | 12.005 |  |  |  |  | 12.18
 | 29 | 15000 | 15000 | 15000 | 15000 |  |  |  |  | 12.005 |  |  |  |  | 12.18
 | 30 | 15000 | 15000 | 15000 | 15000 |  |  |  |  | 12.005 |  |  |  |  | 12.18
 | Sum |  | 410632 | 410632 | 410632
Spreadsheet: 84595d1284641978-partially-match-prefix-to-full-number-example
Sheet: Sheet1

5427890000 | 5518
5000000000 | 6050
5518600000 | 6591
0660P51800 | 6604
2700380000 | 6605
3390110000 | 6606
1000000000 | 0660P
3465580000 | 6805
9000000000 | 27003
6051000000 | 29371
6050800000 | 33889
 | 33891
 | 33900
 | 33901
 | 33903
 | 34655
 | 49833
 | 54278
Spreadsheet: 218081d1362336979-dont-know-if-this-is-possible-with-data-validation-dv-sample
Sheet: Sheet1

 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | W | X | Y | Z
 |  |  |  | A | B | C | D |  | DV
 |  |  | W | 1 |  | 1 | 1 |  |  | This list should have the values A,C,D.
 |  |  | X | 1 | 1 |  |  |  |  | This list should have the values A,B,D.
 |  |  | Y | 1 | 1 | 1 | 1
 |  |  | Z |  | 1 | 1
Spreadsheet: 746503d1630776493-lookup-returning-duplicate-values-when-there-a-blank-can-it-search-in-sequence-sheet-for-excelhelp
Sheet: Sign On Sheets

Day |  | Tue | x
Date |  |  | x
Week |  |  | x
a
Folder Number | Duty Number | Name | Pay Number | Duty Start Time | Duty Finish Time
Spreadsheet: chris_dorland__1641__12-13 1600
Sheet: SPP

SPP
 |  | Fuel | [NAME] | Full | Current Output | Change | Current Output | Change | Current Output | Change | Current Output | Change
OPERATOR | PLANT | Type | Heat Rate | Capacity | @ 0630 |  | @ 0900 |  | @ 1200 |  | @1600
KPL | [NAME] | Coal | 10330 | 2214 | 2140 |  | 2225 |  | 2240 |  | 2150
OGE | Sooner | Coal | 10066 | 1136 | 985 |  | 1070 |  | 1050 |  | 1075
OGE | Muskogee | Coal/Gas | 9929 | 1923 | 985 |  | 1385 |  | 1330 |  | 1295
Entergy | Independence | Coal | 10470 | 1700 | 695 |  | 675 |  | 715 |  | 575
Entergy | White Bluff | Coal | 10540 | 1700 | 900 |  | 640 |  | 520 |  | 435
[NAME] | [NAME] | Coal | 10968 | 1578
AEC | New Madrid | Coal | 10124 | 1200
AEC | [NAME] | Coal | 10508 | 1135
GRDA | Grand River Dam | Gas | 10728 | 1010
CLECO | [NAME] | Coal/Gas | 11865 | 1003
Spreadsheet: 838200d1690814581-how-to-separate-a-cell-into-individual-cells-book1
Sheet: Sheet1

UBS-109710597379303 | U | B | S | - | 1 | 0 | 9 | 7 | 1 | 0 | 5 | 9 | 7 | 3 | 7 | 9 | 3 | 0 | 3
Spreadsheet: 794347d1661996262-two-column-list-descending-dates-and-ids-find-next-date-in-list-matching-row-id-difference-next-data-row-by-id-rows-sorted-by-date-desc-
Sheet: Transform Step

Employee ID | Date/Time Opened | YOUR MAGIC FORMULA!
18 | 2022-08-27 12:14:00 | 2022-08-29 00:00:00
21 | 2022-08-27 12:14:00 | NA |  |  |  |  |  |  |  |  | Employee ID | Date/Time Opened
4 | 2022-08-27 12:13:00 | NA |  |  |  |  |  |  |  |  | 1 | 44800.50972222222
5 | 2022-08-27 12:13:00 | NA |  |  |  |  |  |  |  |  | 3 | 44800.50972222222
6 | 2022-08-27 12:13:00 | NA |  |  |  |  |  |  |  |  | 4 | 44800.50902777778
7 | 2022-08-27 12:13:00 | NA |  |  |  |  |  |  |  |  | 5 | 44800.50902777778
9 | 2022-08-27 12:13:00 | 2022-08-28 00:00:00 |  |  |  |  |  |  |  |  | 6 | 44800.50902777778
9 | 2022-08-28 00:00:00 | NA |  |  |  |  |  |  |  |  | 7 | 44800.50902777778
11 | 2022-08-28 00:00:00 | NA |  |  |  |  |  |  |  |  | 9 | 44800.50902777778
12 | 2022-08-28 00:00:00 | NA |  |  |  |  |  |  |  |  | 9 | 44801
13 | 2022-08-28 00:00:00 | NA |  |  |  |  |  |  |  |  | 11 | 44801
14 | 2022-08-27 12:13:00 | 2022-08-28 00:00:00 |  |  |  |  |  |  |  |  | 12 | 44801
14 | 2022-08-28 00:00:00 | 2022-08-29 00:00:00 |  |  |  |  |  |  |  |  | 13 | 44801
14 | 2022-08-29 00:00:00 | NA |  |  |  |  |  |  |  |  | 14 | 44800.50902777778
16 | 2022-08-29 00:00:00 | NA |  |  |  |  |  |  |  |  | 14 | 44801
17 | 2022-08-29 00:00:00 | NA |  |  |  |  |  |  |  |  | 14 | 44802
19 | 2022-08-29 00:00:00 | NA |  |  |  |  |  |  |  |  | 16 | 44802
18 | 2022-08-29 00:00:00 | NA |  |  |  |  |  |  |  |  | 17 | 44802
 |  |  |  |  |  |  |  |  |  |  | 19 | 44802
 |  |  |  |  |  |  |  |  |  |  | Grand Total
Spreadsheet: 735273d1622806434-lookup-data-based-on-tab-cross-reference-example-4-
Sheet: 2

City | Population
Jacksonville | 890467
Miami | 454279
Tampa | 387916
Orlando | 280832
St. Petersburg | 261338
Hialeah | 234539
Tallahassee | 191279
Port St. Lucie | 189396
Cape Coral | 183942
Fort Lauderdale | 180124
Spreadsheet: 02923fbe-9461-467a-9367-abfe5e4700fe
Sheet: Sheet1

IMPERIAL VALLEY COLLEGE
DEPOSIT FORM
Date
Vendor or Department
Transaction Date |  |  |  |  |  | Document Number
Cash  and  Checks  Being  Deposited
 | 0.01 |  |  |  | 1
 | 0.05 |  |  |  | 2
 | 0.1 |  |  |  | 5
 | 0.25 |  |  |  | 10
 | 0.5 |  |  |  | 20
 | 1 |  |  |  | 50
 |  |  |  |  | 100
 |  |  |  |  | Total Cash
Checks(Total Number) |  |  |  |  | Total of  Checks
 |  |  |  |  | Total Deposit
FOAPAL  Distribution  of  Deposit
NAME  OF  ACCOUNT |  |  | FUND | ORG | ACCT | PROG | AMOUNT
 |  |  |  |  |  | Total
IVC Department |  |  |  |  |  | Business Office
/
Prepared by (name and signature) |  |  |  | Date |  | Verified by (signature)     Date
 |  | /
Verified by (name and signature) |  |  |  | Date |  | Verified by (print name)
Spreadsheet: 145449d1331584795-put-information-on-next-row-skipping-spaces-mak2145_example_12mar12_01
Sheet: Output

Using formulas this is Not what I want…I want the spaces to be gone
ID | Step | Seconds | Used?
 |  |  |  |  |  |  | Should look like this
 |  |  |  |  |  |  | Summary Output
 |  |  |  |  |  |  | ID | Steps | Seconds | Used?
 |  |  |  |  |  |  | 1 | Step 1 | 4 | Yes
 |  |  |  |  |  |  | 4 | Step 4 | 3 | Yes
 |  |  |  |  |  |  | 5 | Step 5 | 8 | Yes
ID | Step | Seconds | Used?
Spreadsheet: 101141d1299266728-if-formula-giving-a-false-return-2011-ncaa-tournament-bracket-and-squares
Sheet: Team Entry

 |  | Change Logo Here |  |  | First Four | East | Southeast | East
 |  | [NAME] Bar & Grill 2nd NCAA Invitational |  |  |  | #12 | #16 | Winner to East #12
 |  |  |  |  |  | Gonzaga | McNeese State | Southeast
 |  | Entry Fee per square | 70 |  |  | VCU | Texas Southern | Winner to Southeast #16
 |  | Payout per game | 100 |  |  | Southwest | West | Southwest
 |  |  |  |  |  | #16 | #12 | Winner to Southwest #16
 |  | Final Payout | 200
 |  |  |  |  |  | Fla. Atlantic | Gonzaga | West |  | Tourmament Venues, Date & Time
 |  |  |  |  |  | Bethune Cookman | Dayton | Winner to West #12
 | Enter Bracket Numbers |  |  |  |  |  |  |  |  | First Four | Dayton Ohio | Mar 15-16
 |  |  |  |  | DIVISION
 | 1st Alpha | 2nd Alpha |  | Seed | East | Southeast | Southwest | West |  | East |  |  |  | Southeast
 | Team | Team |  | #1 | Pittsburgh | Ohio State | Kansas | San Diego State |  | Cleveland |  |  |  | Cleveland
 | (horizontal) | (vertical) |  | #16 | Coastal Carolina |  |  | [NAME] |  | 2020-03-18 00:00:00 |  |  |  | 2020-03-18 00:00:00
 | 9 | 0 |  | #8 | Xavier | Georgia | Tennessee | [NAME] |  | Denver |  |  |  | Tucson
 | 5 | 8 |  | #9 | Michigan State | Kansas State | Illinois | Marquette |  | 2019-03-17 00:00:00 | Newark |  | New Orleans | 2019-03-17 00:00:00
 | 1 | 2 |  | #5 | [NAME] | Villanova | Arizona | St. John's |  | Washington, DC | 2027-03-25 00:00:00 |  | 2026-03-24 00:00:00 | Charlotte
 | 8 | 9 |  | #12 |  | Colorado State | Boston College |  |  | 2019-03-17 00:00:00 |  |  |  | 2020-03-18 00:00:00
 | 3 | 7 |  | #4 | Texas A&M | North Carolina | Connecticut | Florida |  | Charlotte |  | Houston |  | Denver
 | 4 | 4 |  | #13 | Oakland | Belmont | Cleveland State | Charleston |  | 2020-03-18 00:00:00 |  | 2004-04-02 00:00:00 |  | 2019-03-17 00:00:00
 | 7 | 6 |  | #6 | Louisville | Kentucky | Missouri | Temple |  | West |  |  |  | Southwest
 | 2 | 5 |  | #11 | Memphis | Richmond | St. Mary's | Harvard |  | Tucson |  |  |  | Tulsa
 | 0 | 1 |  | #3 | Wisconsin | Georgetown | Notre Dame | Syracuse |  | 2019-03-17 00:00:00 |  |  |  | 2020-03-18 00:00:00
 | 6 | 3 |  | #14 | Fairfield | [NAME] | Missouri State | Bucknel |  | Tampa |  |  |  | Tampa
 |  |  |  | #7 | Cincinnati | Old Dominion | UNLV | West Virginia |  | 2019-03-17 00:00:00 | Anaheim |  | San Antonio | 2019-03-17 00:00:00
 |  |  |  | #10 | Utah State | Washington | Florida State | UCLA |  | Washington, DC | 2027-03-25 00:00:00 |  | 2026-03-24 00:00:00 | Chicago
 |  |  |  | #2 | Duke | BYU | Purdue | Texas |  | 2019-03-17 00:00:00 |  |  |  | 2020-03-18 00:00:00
 |  |  |  | #15 | Long IslandCleveland | MontanaCleveland | VermontTulsa | Long BeachTucson |  | Tulsa |  |  |  | Chicago
 |  |  |  |  |  |  |  |  |  | 2020-03-18 00:00:00 |  |  |  | 2020-03-18 00:00:00
Spreadsheet: 215000d1361221050-formula-to-return-an-offset-value-depending-on-a-condition-report-looking-right-first-column
Sheet: Write Term Report

 | Writing Progress Term Assessment |  |  |  |  | Year.6 |  |  | [NAME] |  |  |  | 2013-02-10 00:00:00
 |  | Autumn Term |  |  | [NAME] |  |  | [NAME]
 | Name | T1 | T1 | Levels | T2 | T2 | Levels | T3 | T3 | Levels |  | YTD | Comments
 |  | Start | Finish | Moved | Start | Finish | Moved | Start | Finish | Moved |  | Levels
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Do Not Remove |  | 8
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Wc | 1 | 9
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Wb | 2 | 10
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Wa | 3 | 11
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1c | 4 | 12
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1b | 5 | 13
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1a | 6 | 14
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2c | 7 | 15 |  |  |  |  |  |  |  |  |  |  | 1c
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2b | 8 | 16
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2a | 9 | 17
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3c | 10 | 18
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3b | 11 | 19
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3a | 12 | 20 |  |  |  |  |  |  |  |  |  |  | 1c
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4c | 13 | 21
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4b | 14 | 22
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4a | 15 | 23
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5c | 16 | 24 |  |  |  |  |  |  |  |  |  |  | 1c
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5b | 17 | 25
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5a | 18 | 26
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 27 |  |  |  |  |  |  |  |  |  |  | 2c
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 28
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 29
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 30
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 31
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 32
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 33
Spreadsheet: 743770d1628706682-have-rows-automatically-populate-based-on-lowest-remaining-days-for-a-item-ending-soonest
Sheet: Sheet1

Commodity | Purchase Order # | Beginning Date | End Date | Remaining Days
Ending Soonest
Boxes | 1232 | 2020-08-01 00:00:00 | 2022-01-01 00:00:00
Water | 1282 | 2020-08-01 00:00:00 | 2022-01-01 00:00:00
Toilets | 1001 | 2020-08-02 00:00:00 | 2022-03-01 00:00:00 |  |  |  | I Want the Top 5 rows with the shortest remaining days to be automatically populated at the top
Paper | 1341 | 2020-08-03 00:00:00 | 2023-01-01 00:00:00
[NAME] | 1102 | 2020-08-04 00:00:00 | 2024-01-20 00:00:00 |  |  |  | Since "Supplies" ends in the shortest amount of time it should be listed fist followed by uniforms and chairs
Heating | 1023 | 2020-08-05 00:00:00 | 2022-08-01 00:00:00
Electric | 1111 | 2020-08-06 00:00:00 | 2022-09-01 00:00:00 |  |  |  | I don’t want the original rows moved I just want them to be populated at the top in addition to where they are now
Uniforms | 2102 | 2020-08-07 00:00:00 | 2021-09-01 00:00:00
Chairs | 9120 | 2020-08-08 00:00:00 | 2021-09-01 00:00:00 |  |  |  | Some of my data has negative remaining days I only want to include the rows with days >0 in the ending soonest list
Cars | 2139 | 2020-08-09 00:00:00 | 2022-10-01 00:00:00
Food | 1293 | 2020-08-10 00:00:00 | 2024-11-01 00:00:00
Cups | 1293 | 2020-08-11 00:00:00 | 2023-01-10 00:00:00
Batteries | 1292 | 2020-08-12 00:00:00 | 2023-01-02 00:00:00
Supplies | 982 | 2019-01-01 00:00:00 | 2021-08-22 00:00:00
Canned Goods | 789 | 2019-01-01 00:00:00 | 2020-07-01 00:00:00
Spreadsheet: 884221d1733310963-convert-layout-survey-layout
Sheet: Sheet1

Type | Question | Answer | Response |  |  |  |  | Agree | Netural | Disagree |  |  |  | Agree | Netural | Disagree
Immediate Manager | Question #1 | Agree | 5 |  |  |  | Question #1 |  |  |  |  | Immediate Manager | Question #1 | 5 | 1 | 0
Immediate Manager | Question #1 | Netural | 1 |  |  | Immediate Manager | Question #2 |  |  |  |  | Immediate Manager | Question #2 | 4 | 1 | 1
Immediate Manager | Question #1 | Disagree | 0 |  |  | Immediate Manager | Question #3 |  |  |  |  | Immediate Manager | Question #3 | 3 | 3 | 0
Immediate Manager | Question #2 | Agree | 4 |  |  | Pay/Benefit | Question #4 |  |  |  |  | Pay/Benefit | Question #4 | 1 | 4 | 2
Immediate Manager | Question #2 | Netural | 1 |  |  | Pay/Benefit | Question #5 |  |  |  |  | Pay/Benefit | Question #5 | 1 | 2 | 3
Immediate Manager | Question #2 | Disagree | 1 |  |  | Pay/Benefit | Question #6 |  |  |  |  | Pay/Benefit | Question #6 | 3 | 2 | 1
Immediate Manager | Question #3 | Agree | 3 |  |  | Environment | Question #7 |  |  |  |  | Environment | Question #7 | 3 | 2 | 1
Immediate Manager | Question #3 | Netural | 3 |  |  | Environment | Question #8 |  |  |  |  | Environment | Question #8 | 6 | 0 | 0
Immediate Manager | Question #3 | Disagree | 0 |  |  | Environment | Question #9 |  |  |  |  | Environment | Question #9 | 5 | 1 | 0
Pay/Benefit | Question #4 | Agree | 1
Pay/Benefit | Question #4 | Netural | 4
Pay/Benefit | Question #4 | Disagree | 2 |  |  |  |  |  |  |  |  | What I want
Pay/Benefit | Question #5 | Agree | 1
Pay/Benefit | Question #5 | Netural | 2
Pay/Benefit | Question #5 | Disagree | 3
Pay/Benefit | Question #6 | Agree | 3
Pay/Benefit | Question #6 | Netural | 2
Pay/Benefit | Question #6 | Disagree | 1
Environment | Question #7 | Agree | 3
Environment | Question #7 | Netural | 2
Environment | Question #7 | Disagree | 1
Environment | Question #8 | Agree | 6
Environment | Question #8 | Netural | 0
Environment | Question #8 | Disagree | 0
Environment | Question #9 | Agree | 5
Environment | Question #9 | Netural | 1
Environment | Question #9 | Disagree | 0
Spreadsheet: 599103d1542857300-pull-in-private-equity-data-based-on-1-criteria-example-report
Sheet: Appendix

 | Report
 | Buyout
1
2
3
4
 | Venture
Spreadsheet: 876352d1723038561-check-different-values-over-other-worksheets-crosscheck-etaf
Sheet: Litauen

Supplier no | Item no | Old Purchase price | Currency | NEW Price | NEW supplier item no | unit price incl 2% discount
LT6898 | 5200 | 0.94 | EUR | 0.94 | 1408560 | 0.93
LT6898 | 5201 | 1 | EUR | 1 | 1408561 | 0.98
LT6898 | 5202 | 1.03 | EUR | 1.03 | 1408568 | 1.01
LT6898 | 5203 | 1.09 | EUR | 1.08 | 1408562 | 1.06
LT6898 | 5204 | 1.14 | EUR | 1.22 | 1408572 | 1.12
LT6898 | 5205 | 1.15 | EUR | 1.15 | 1408563 | 1.13
LT6898 | 5206 | 1.21 | EUR | 1.29 | 1408570 | 1.19
LT6898 | 5207 | 1.43 | EUR | 1.43 | 1408564 | 1.41
LT6898 | 5208 | 1.56 | EUR | 1.66 | 1408571 | 3.52
Spreadsheet: 0e2d9d23-d349-4993-ad71-bc2a6e2b9be7
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
FETGL | Test | FETGL | Alcohol Biomarkers, [NAME] | Alcohol Biomarkers | Immunoassay (IA)-Screen Liquid Chromatography/Tandem Mass Spectrometry (LC/MS/MS)-Confirmation; if applicable | [NAME]: Urine |  |  | 20 | mL | Submit 20 mL from a random or spot urine collection.   Ship refrigerate. | 10 mL Note: Submission of the mi | Specimens other than	[NAME] Anticoagulants other than	NA Hemolysis	NA Thawing	Warm OK; Cold OK Lipemia	NA Icteric	NA | This specimen was screened by immunoassay. Any positive result was confirmed by liquid chromatography with tandem mass spectrometry (LC/MS/MS).     The following threshold concentrations were used for this analysis: Drug                             Screening Threshold              Confirmation Threshold Ethyl glucuronide               500 ng/mL                               500 ng/mL Ethyl sulfate                                                                    250 ng/mL   Alternative explanations should be explored for any positive finding. This panel includes tests for specimen validity.   Please note that incidental exposure to alcohol may result in detectable levels of [NAME]. The Center for Substance abuse Prevention (CSAP) advises caution in interpretation and use of biomarkers alone to assess alcohol use. ETG/ETS results should be interpreted in the context of all available clinical and behavioral information.   Test Performed By:  Medtox Laboratories                                        402 W. County Road D                                        St. Paul, MN  55112 | Monday through Sunday | 3-5 days | 5-7 days | 1 | 80101 |  |  |  |  | Medtox Laboratories, Inc
FETGL | [NAME] | URINE | [NAME] |  |  |  | Refrigerated
FETGL | Result | Z2256 | [NAME] | [NAME] | Alphanumeric |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 55349-5
FETGL | Result | Z2257 | Alcohol Biomarkers Confirmation | Alcohol Biomarkers Confirmation | Alphanumeric |  |  |  |  | ng/mL |  |  |  |  |  |  |  |  |  | In Process
Spreadsheet: 29045d1223701768-v-look-up-function-book1
Sheet: 1

[NAME] | Fleet Nos | Job Description | Fixed Rate | Twilight | Total | Remarks
1 | [NAME] | OFD RATE. | 260 |  | 260
2 | CAN-01 | VOR |  |  | 0
3 | CAN-02 | VOR |  |  | 0
 |  |  |  |  |  |  |  | Amount
 |  |  |  |  |  |  | OFD RATE. | 260
 |  |  |  |  |  |  | OFD/TW RATE. | 65
 |  |  |  |  |  |  | TP | 0
 |  |  |  |  |  |  | VOR | 0
Spreadsheet: b1b210b4-636a-487e-8d36-4eff79507d5a
Sheet: expense 2012

2012 NWArea   receipts /expenses
 | Income
 | Ship | Attendees
 | 282 | 10 | 400
 | 665 | 8 | 320
 | 739 | 8 | 280
 | 601 | 14 | 560
 | 678 | 9 | 360
 | 620 | 5 | 200
 | 640 | 4 | 160
 | 643 | 6 | 240
 | 202 | 12 | 480
 | 630 | 8 | 360
 | 734 | 2 | 40
 | 451 | 13 | 520
 | 6 | 9 | 345
 | 33 | 1 | 40
 | 678 | 9 | 15
 | 62 | 6 | 240
 | cpc | 1 | 40
 | 97 | 5 | 200
Cash collected for Flags |  |  | 180
 |  |  | 70 | 2 CPC Units owe CPC for Flags
Extraa Fees to be charged
 | Attendees | 130
 | Fee | 2.5 | 325
 | Extra Fee
 | Total Income |  | 5375
Expenses
 | Food |  | 1428
 | Billeting- [NAME] |  | 628
 | Aquatics |  | 450
 | CPC |  | 960
 | [NAME] |  | 200
 | Centennial Materials |  | 1512.22
 | stop watches |  | 67.92
 | Flag Poles |  | 75.06
 | Sunscreen |  | 7.18
Total Expenses |  |  | 5328.380000000001
 | Income/Expense |  | 46.61999999999898