tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 033a1e6d-25b8-4d5e-b26d-204980ef972c
Sheet: Sheet1

THE UNIVERSITY OF TULSA | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4
COLLEGE OF ARTS AND SCIENCES | Name_____________________________ | ID#______________________
Area of Concentration Requirements | BA - Philosophy
1.        You must have a minimum GPA of 2.2 | To complete a major in Philosophy at TU, the student must complete 30 hours of coursework.
in your area of concentration and a minimum of | Two-thirds of these, or 21 hours, are to be taken at the 3000-4000 level. Students are required to take
2.0 TU GPA in order to graduate. | the two interdisciplinary courses listed below, as well as to complete a course in logic or reasoning.
2.        No Pass/D/F or CLEP credit may be
applied toward your Area of Concentration. |  | HR | GR | SM
3.    Courses applied to meet Core and General | Three core courses comparing philosophy and religion
Curriculum requirements may not also apply in
your Area of Concentration. | [NAME] 1453:  The Great Conversation I:
 | Ancient and Medieval | ____3 | _____ | _____
4.   Two thirds of the course work in your | Rel/Phil 2453:  The Great Conversation II:
Major [NAME] must be at the 3000 or 4000 level. | Modern and Contemporary | ____3 | _____ | _____
5.     Subjects in your Minor Field must be
selected in conjunction with your [NAME] | One Course in Logic or reasoning:
 | ___________________________________ | ____3 | _____ | _____
6.  No more than 55 hours may be earned in the
Area of Concentration, and no more than 39 of
these may be earned in the major subject. | Philosophy Electives: 21 hrs (must be at 3000-4000 level)
These totals may be exceeded only by the | ___________________________________ | ____3 | _____ | _____
number of hours beyond the 124 required for | ___________________________________ | ____3 | _____ | _____
graduation. | ___________________________________ | ____3 | _____ | _____
 | ___________________________________ | ____3 | _____ | _____
 | ___________________________________ | ____3 | _____ | _____
 | ___________________________________ | ____3 | _____ | _____
 | ___________________________________ | ____3 | _____ | _____
 | Minor - 12 hrs   (6 hours at 3000-4000 level)
 | ___________________________________ | ____3 | _____ | _____
 | ___________________________________ | ____3 | _____ | _____
 | ___________________________________ | ____3 | _____ | _____
 | ___________________________________ | ____3 | _____ | _____
Updates 11/11/20
Spreadsheet: 126755d1319872149-recording-lap-times-by-entering-contestant-number-race
Sheet: R

Hide These | Rows |  | Laps
Rows | Needed |  | Needed
 | 0 |  | 0
 | Racers |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Row
 | Entered |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Number |  | Lap
Top | 5 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 3 |  | 3 |  | 0 | 1 | 2 | 3 | 4 | 5
 |  | Hide These Columns |  |  |  |  |  |  |  |  |  |  |  | Hide These Columns |  |  |  |  |  | Racer
 |  | They're Raw Data |  |  |  |  |  |  |  |  |  |  |  | They're used to sort |  |  |  |  |  | Number
 |  | Before Being Sorted |  |  |  |  |  |  |  |  |  |  |  | Racers to show |  |  |  |  |  | 2
 |  | . |  |  |  |  |  |  |  |  |  |  |  | who's Ahead
Number of Laps : | 6 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Race
Nuber of Racers : | 7 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Started
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2011-10-28 23:31:29
Name | Number |  | Time | Lap |  | Start | Lap 1 | Lap 2 | Lap 3 | Lap 4 | Lap 5 | Lap 6 | Lap 7 |  |  |  |  |  | Order | Time | Lap |  | Lap 1 | Lap 2 | Lap 3 | Lap 4 | Lap 5 | Lap 6
[NAME] | 3 |  | 00:00:04 | 2 |  | 2011-10-28 23:31:29 | 2011-10-28 23:31:33 |  |  |  |  |  |  | 4018 | 2 | 1 | 3 |  | [NAME] | 00:00:13 | 3 |  | 00:00:06 | 00:00:07
[NAME] | 7 |  | 00:00:11 | 2 |  | 2011-10-28 23:31:29 | 2011-10-28 23:31:40 |  |  |  |  |  |  | 4019 | 3 | 2 | 1 |  | [NAME] | 00:00:04 | 2 |  | 00:00:04
[NAME] | 2 |  | 00:00:13 | 3 |  | 2011-10-28 23:31:29 | 2011-10-28 23:31:35 | 2011-10-28 23:31:42 |  |  |  |  |  | 3020 | 1 | 3 | 2 |  | [NAME] | 00:00:11 | 2 |  | 00:00:11
[NAME] | 30 |  | 00:00:08 | 2 |  | 2011-10-28 23:31:29 | 2011-10-28 23:31:37 |  |  |  |  |  |  | 4021 | 4 | 4 | 4 |  | [NAME] | 00:00:08 | 2 |  | 00:00:08
[NAME] | 40 |  | 00:00:10 | 2 |  | 2011-10-28 23:31:29 | 2011-10-28 23:31:39 |  |  |  |  |  |  | 4022 | 5 | 5 | 5 |  | [NAME] | 00:00:10 | 2 |  | 00:00:10
 |  |  | 1900-01-01 00:00:00 | 1 |  | 2011-10-28 23:31:29 |  |  |  |  |  |  |  | 5023 | 5
 |  |  | 1900-01-01 00:00:00 | 1 |  | 2011-10-28 23:31:29 |  |  |  |  |  |  |  | 5024 | 5
Spreadsheet: 139614d1328337304-excel-2010-bi-weekly-paycheck-tracker-income-calculator
Sheet: Feb 2012

 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Made with [NAME]: | Calendar Maker
 | ◄ January |  |  |  | ~ February 2012 ~ |  |  |  |  |  |  |  | March ► |  |  |  |  |  |  |  |  |  |  |  | 2011 Calendar
 | Sunday |  | Monday |  | Tuesday |  | Wednesday |  | Thursday |  | Friday |  | Saturday |  |  |  |  |  |  |  |  |  |  |  | 2012 Calendar
 |  |  |  |  |  |  | 2012-02-01 00:00:00 |  | 2012-02-02 00:00:00 |  | 2012-02-03 00:00:00 |  | 2012-02-04 00:00:00 |  |  |  |  |  |  |  |  |  |  |  | [NAME]
 |  |  |  |  |  |  | 8 |  | 0 |  | 0 |  | 0
 | 2012-02-05 00:00:00 |  | 2012-02-06 00:00:00 |  | 2012-02-07 00:00:00 |  | 2012-02-08 00:00:00 |  | 2012-02-09 00:00:00 |  | 2012-02-10 00:00:00 |  | 2012-02-11 00:00:00
 | 0 |  | 0 |  | 0 |  | 0 |  | 0 |  | 0 |  | 0
 | 2012-02-12 00:00:00 |  | 2012-02-13 00:00:00 |  | 2012-02-14 00:00:00 |  | 2012-02-15 00:00:00 |  | 2012-02-16 00:00:00 |  | 2012-02-17 00:00:00 |  | 2012-02-18 00:00:00
 | 0 |  | 0 |  | 0 |  | 0 |  | 0 |  | 0 |  | 0
 | 2012-02-19 00:00:00 |  | 2012-02-20 00:00:00 |  | 2012-02-21 00:00:00 |  | 2012-02-22 00:00:00 |  | 2012-02-23 00:00:00 |  | 2012-02-24 00:00:00 |  | 2012-02-25 00:00:00
 | 0 |  | 0 |  | 0 |  | 0 |  | 0 |  | 0 |  | 0
 | 2012-02-26 00:00:00 |  | 2012-02-27 00:00:00 |  | 2012-02-28 00:00:00 |  | 2012-02-29 00:00:00 |  | Notes:
 | 0 |  | 0 |  | 0 |  | 0
Spreadsheet: 134801d1325635137-help-with-if-statement-mockup1
Sheet: YTD

ID | Name | Class
Smith_P | [NAME] | A_A2 | Stuff here that doesn’t change
Jones_A | [NAME] | A_B | Stuff here that doesn’t change
Andrews_W | [NAME] | A_B | Stuff here that doesn’t change
Smith_P | [NAME] | A_SP2 | Stuff here that doesn’t change
Jones_A | [NAME] | A_SP2 | Stuff here that doesn’t change
Andrews_W | [NAME] | A_SP5 | Stuff here that doesn’t change
Smith_P | [NAME] | A_SP6 | Stuff here that doesn’t change
Jones_A | [NAME] | A_SP7 | Stuff here that doesn’t change
Andrews_W | [NAME] | A_SP7 | Stuff here that doesn’t change
Blue will remain constant from sheet to sheet
Spreadsheet: 776349d1649691626-removing-delete-same-contents-from-columns-test
Sheet: Sheet1

[EMAIL] | [EMAIL] | [EMAIL]
[EMAIL] | [EMAIL] | [EMAIL]
[EMAIL] | [NAME] | [EMAIL]
[EMAIL] | [EMAIL] | [EMAIL]
[EMAIL] | [EMAIL] | [EMAIL]
[EMAIL] | [EMAIL] | [EMAIL]
[EMAIL] |  | [EMAIL]
[NAME] |  | [EMAIL]
[EMAIL] |  | [EMAIL]
[EMAIL] |  | [EMAIL]
[EMAIL] |  | [EMAIL]
[EMAIL] |  | [EMAIL]
[EMAIL] |  | [EMAIL]
[EMAIL] |  | [EMAIL]
[EMAIL]
[EMAIL]
[EMAIL]
[EMAIL]
[EMAIL]
[EMAIL]
Spreadsheet: 799416d1665070584-find-3-largest-values-and-extract-data-excel-help-large
Sheet: Sheet1

 | 1 |  |  |  |  |  | 2 |  |  |  |  |  | 3 |  |  |  |  |  | 4 |  |  |  |  |  |  | 5 |  |  |  |  |  | 6 |  |  |  |  |  | 7 |  |  |  |  |  | 8 |  |  |  |  |  | 9 |  |  |  |  |  | 10 |  |  |  | RESULTS I AM LOOKING TO AUTOMATIC EXAMPLE
[NAME] | 18.5 | 26 | ov |  |  | Alperen Sengun | #N/A | 6 | #N/A |  |  | [NAME] | 14.5 | 11 | un |  |  | [NAME] | 12.5 | 24 | ov |  |  | 1 | [NAME] | 7.5 | 7 | un |  |  | [NAME] | #N/A | 30 | #N/A |  |  | [NAME] | 24.5 | 27 | ov |  |  | Avery Bradley | #N/A | 2 | #N/A |  |  | [NAME] | 19.5 | 27 | ov |  |  | Bird | 4.5 | 27 | ov
[NAME] | 6.5 | 6 | un |  |  | [NAME] | 12.5 | 6 | un |  |  | CJ McCollum | 22.5 | 21 | un |  |  | Damian Lillard | 26.5 | 26 | un |  |  | 1 | [NAME] | #N/A | 7 | #N/A |  |  | [NAME] | 14.5 | 11 | un |  |  | [NAME] | 12.5 | 24 | ov |  |  | [NAME] | 21.5 | 21 | un |  |  | [NAME] | 18.5 | 19 | ov |  |  | [NAME] | 6.5 | 19 | ov
Spreadsheet: 40252d1238563566-populate-asyncronous-data-sample
Sheet: Sheet2

Name | Date | Course
[NAME] | 2009-05-07 00:00:00 | 1
[NAME] | 2009-05-08 00:00:00 | 2
[NAME] | 2009-06-12 00:00:00 | 3
[NAME] | 2009-06-15 00:00:00 | 4
[NAME] | 2009-07-18 00:00:00 | 5
[NAME] | 2009-07-12 00:00:00 | 3
[NAME] | 2009-07-17 00:00:00 | 6
Rolf | 2009-07-21 00:00:00 | 3
Rolf | 2009-07-24 00:00:00 | 6
[NAME] | 2009-07-25 00:00:00 | 8
[NAME] | 2009-07-30 00:00:00 | 5
[NAME] | 2009-07-15 00:00:00 | 9
[NAME] | 2009-07-21 00:00:00 | 2
Spreadsheet: 693584d1599047292-index-match-countif-use-min-or-small-function-weather-data
Sheet: Sheet2

 | Date/Time | [NAME] (°C) | Min [NAME] (°C) | Total Precip (mm) | Spd of Max Gust (km/h) | Snow on [NAME] (cm) | data
 |  |  |  |  |  |  |  |  |  | [NAME] |  |  |  |  |  | Spd of Max Gust
 |  |  |  |  |  |  |  |  | Rank | Rank | Date | C° | F° |  | Rank | Rank | Date | km/h | mph | [NAME]
 |  |  |  |  |  |  |  |  | 1 |  |  |  |  |  | 1
 |  |  |  |  |  |  |  |  | 2 |  |  |  |  |  | 2
 |  |  |  |  |  |  |  |  | 3 |  |  |  |  |  | 3
 |  |  |  |  |  |  |  |  | 4 |  |  |  |  |  | 4
 |  |  |  |  |  |  |  |  | 5 |  |  |  |  |  | 5
 |  |  |  |  |  |  |  |  | 6 |  |  |  |  |  | 6
 |  |  |  |  |  |  |  |  | 7 |  |  |  |  |  | 7
 |  |  |  |  |  |  |  |  | 8 |  |  |  |  |  | 8
 |  |  |  |  |  |  |  |  | 9 |  |  |  |  |  | 9
 |  |  |  |  |  |  |  |  | 10 |  |  |  |  |  | 10
 |  |  |  |  |  |  |  |  |  |  | ~=INDEX($A$2:$A$367,MATCH(1,(LARGE($B$2:$B$367,I4)=$B$2:$B$367)*(COUNTIF(K$3:$K3,$A$2:$A$248)=0),0))
 |  |  |  |  |  |  |  |  |  | Min Temp |  |  |  |  |  | Total Precip |  |  |  |  |  | Snow on Grnd
 |  |  |  |  |  |  |  |  | Rank | Rank | Date | C° | F° |  | Rank | Rank | Date | [NAME] | in |  | Rank | Rank | Date | cm | in
 |  |  |  |  |  |  |  |  | 1 |  |  |  |  |  | 1 |  |  |  |  |  | 1
 |  |  |  |  |  |  |  |  | 2 |  |  |  |  |  | 2 |  |  |  |  |  | 2
 |  |  |  |  |  |  |  |  | 3 |  |  |  |  |  | 3 |  |  |  |  |  | 3
 |  |  |  |  |  |  |  |  | 4 |  |  |  |  |  | 4 |  |  |  |  |  | 4
 |  |  |  |  |  |  |  |  | 5 |  |  |  |  |  | 5 |  |  |  |  |  | 5
 |  |  |  |  |  |  |  |  | 6 |  |  |  |  |  | 6 |  |  |  |  |  | 6
 |  |  |  |  |  |  |  |  | 7 |  |  |  |  |  | 7 |  |  |  |  |  | 7
 |  |  |  |  |  |  |  |  | 8 |  |  |  |  |  | 8 |  |  |  |  |  | 8
 |  |  |  |  |  |  |  |  | 9 |  |  |  |  |  | 9 |  |  |  |  |  | 9
 |  |  |  |  |  |  |  |  | 10 |  |  |  |  |  | 10 |  |  |  |  |  | 10
 |  |  |  |  |  |  |  |  |  |  | ~=INDEX($A$2:$A$367,MATCH(1,(MIN($C$2:$C$367,I18)=$C$2:$C$367)*(COUNTIF(K$17:$K17,$A$2:$A$367)=0),0))
 |  |  |  |  |  |  |  |  | Results I need
 |  |  |  |  |  |  |  |  |  | Min Temp |  |  |  |  |  |  | ~=IF(COUNTIF(R$2:R$40,$C4),SMALL(INDEX($C$2:$R$40,MATCH($C4,R$2:R$40,0),3),COUNTIF(C$2:C4,C4)),"")
 |  |  |  |  |  |  |  |  | Rank | Rank | Date | C° | F°
 |  |  |  |  |  |  |  |  | 1 |  | 2020-02-14 00:00:00 | -17.4
 |  |  |  |  |  |  |  |  | 2 | 2nd | 2020-01-20 00:00:00 | -12.8
 |  |  |  |  |  |  |  |  | 3 | 3rd | 2020-01-19 00:00:00 | -9.9
 |  |  |  |  |  |  |  |  | 4 | 4th | 2020-02-13 00:00:00 | -9.9
 |  |  |  |  |  |  |  |  | 5 | 5th | 2020-01-08 00:00:00 | -9.8
 |  |  |  |  |  |  |  |  | 6 | 6th | 2020-01-09 00:00:00 | -9.4
 |  |  |  |  |  |  |  |  | 7 | 7th | 2020-01-21 00:00:00 | -9.3
 |  |  |  |  |  |  |  |  | 8 | 8th | 2020-02-15 00:00:00 | -8.9
 |  |  |  |  |  |  |  |  | 9 | 9th | 2020-02-20 00:00:00 | -8.8
 |  |  |  |  |  |  |  |  | 10 | 10th | 2020-02-21 00:00:00 | -8.2
Spreadsheet: 264456d1378894082-array-formula-to-count-specific-text-ignoring-duplicates-test-data
Sheet: Lessons

MOD Datum | [NAME] | TS02 | TS03 | TS05 | TS05 | TS09 | TM01 | TM02 | TM03 |  |  | Member | Overnight | Total Days
2013-08-04 00:00:00 | [NAME] |  |  |  |  |  |  |  |  |  |  | "[NAME]" | Yes +1 | 7
2013-08-04 00:00:00 |  |  |  |  |  |  |  |  |  |  |  | "SeKo" | Yes | 3
2013-08-04 00:00:00 |  |  |  |  |  |  |  |  |  |  |  | "[NAME]" | No | 0
2013-08-04 00:00:00 |  |  |  |  |  |  |  |  |  |  |  | "SoBe" | No | 0
2013-08-04 00:00:00
2013-08-05 00:00:00 |  | [NAME] | [NAME] | [NAME]
2013-08-05 00:00:00 |  | SeKo | SeKo | SeKo
2013-08-05 00:00:00
2013-08-05 00:00:00
2013-08-05 00:00:00
2013-08-06 00:00:00 |  | [NAME] | [NAME] | [NAME]
2013-08-06 00:00:00
2013-08-06 00:00:00 |  | [NAME] | [NAME] | [NAME]
2013-08-06 00:00:00
2013-08-06 00:00:00
2013-08-29 00:00:00 | [NAME] |  |  |  |  | [NAME]
2013-08-29 00:00:00 | SeKo |  |  |  |  | SeKo
2013-08-29 00:00:00 |  |  |  |  |  |  | [NAME] | [NAME] | [NAME]
2013-08-29 00:00:00
2013-08-29 00:00:00
2013-08-30 00:00:00 |  |  |  |  |  |  | [NAME] | [NAME] | [NAME]
2013-08-30 00:00:00 |  |  |  |  |  |  | SeKo | SeKo | SeKo
2013-08-30 00:00:00 |  |  |  |  |  |  | [NAME] | [NAME] | [NAME]
2013-08-30 00:00:00
2013-08-30 00:00:00
2013-09-01 00:00:00 | [NAME] | [NAME]
2013-09-01 00:00:00 |  |  |  |  | SoBe | SoBe
2013-09-01 00:00:00
2013-09-01 00:00:00
2013-09-01 00:00:00
Spreadsheet: 02e4b555-05a6-40f8-a00e-8401a50136eb
Sheet: 14b

 |  | TOTAL
Product |  | HY** | IG | Other
Index Tranche* | Asia |  | <100 | 326
 | Europe |  |  | 170641
 | North America | 16538 | 137947 | 1989
Index | Asia | 555 | 8656 | 14056
 | Europe |  |  | 374671
 | North America | 92646 | 380780 | 64436
TOTAL |  | 109739 | 527383 | 626120
Estimated net notional amount outstanding, February 8 weekly snapshot, by product type and grade (millions of USD), all participant types, tenors and currencies, cleared and uncleared. This table will be expanded to reflect participant type  as more complete data becomes available.
Total(s) may be less than total shown for this asset class in the All Swaps reports and/or other CFTC Swaps Report tables if products were excluded from this table that (a) presented disclosure risk or (b) did not belong in the categories shown.
*See Data Dictionary for product descriptions.
**See Data Dictionary for product grade descriptions.
The Commission requests feedback on the format and content of this CFTC Swaps Report table. Submit comments to [EMAIL].
Spreadsheet: 600556d1543843542-need-multiple-cell-value-in-single-cell-based-on-unique-material-id-example
Sheet: Data

PO# | Material # | Order QTY | PO# & Order QTY  (Merged PO# and Order QTY cell Value)
7402 | 69 | 5 | 7402  5
6897 | 65 | 1 | 6897  1
5666 | 66 | 2 | 5666  2
4024 | 70 | 7 | 4024  7
8260 | 51 | 1 | 8260  1
8260 | 61 | 7 | 8260  7
3849 | 50 | 6 | 3849  6
2360 | 50 | 5 | 2360  5
8740 | 65 | 3 | 8740  3
8260 | 68 | 2 | 8260  2
5339 | 54 | 5 | 5339  5
5666 | 63 | 3 | 5666  3
6690 | 66 | 4 | 6690  4
1853 | 66 | 7 | 1853  7
4190 | 64 | 4 | 4190  4
7037 | 59 | 4 | 7037  4
1853 | 56 | 5 | 1853  5
1853 | 50 | 4 | 1853  4
5115 | 50 | 6 | 5115  6
3421 | 60 | 3 | 3421  3
1786 | 53 | 7 | 1786  7
1786 | 61 | 3 | 1786  3
1786 | 64 | 6 | 1786  6
8390 | 64 | 3 | 8390  3
2360 | 52 | 1 | 2360  1
2360 | 49 | 3 | 2360  3
7172 | 55 | 2 | 7172  2
6870 | 55 | 4 | 6870  4
2444 | 70 | 6 | 2444  6
7175 | 60 | 1 | 7175  1
7172 | 68 | 6 | 7172  6
7172 | 53 | 3 | 7172  3
Spreadsheet: 111479d1307855166-find-unique-values-and-string-concatenation-find-unique-values-and-string-concatenation
Sheet: Vertical

OrderKey
[PHONE] |  | Order Count
[PHONE] |  | Order No.
[PHONE]
[PHONE]
[PHONE]
[PHONE]
[PHONE]
[PHONE]
[PHONE]
[PHONE]
[PHONE]
[PHONE]
[PHONE]
[PHONE]
[PHONE]
[PHONE]
[PHONE]
[PHONE]
[PHONE]
[PHONE]
[PHONE]
[PHONE]
[PHONE]
[PHONE]
[PHONE]
[PHONE]
[PHONE]
[PHONE]
[PHONE]
[PHONE]
[PHONE]
[PHONE]
[PHONE]
Spreadsheet: 3048806c-76ce-4db9-8c8c-f51138892572
Sheet: Sheet1

Table 3--U.S. fiber supply | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7
 | Apr. |  | May |  | June |  | June
Item | 2013 |  | 2013 |  | 2013 |  | 2012
 | 1,000 480-lb. [NAME]
Cotton:
Stocks, beginning | 9772 |  | 7887 |  | 6209 |  | 5620
Ginnings | 0 |  | 0 |  | 0 |  | 0
Imports since August 1 | 4.9 |  | 5.3 |  | 8.6 |  | 18.2
 | Million pounds
Manmade:
Production | 531.6 |  | 536 |  | 515.2 |  | 497.3
Noncellulosic | 531.6 |  | 536 |  | 515.2 |  | 497.3
Cellulosic
Total since January 1 | 2089 |  | 2625 |  | 3140.2 |  | 3108.6
 | Mar. |  | Apr. |  | May |  | May
 | 2013 |  | 2013 |  | 2013 |  | 2012
 | Million pounds
Raw fiber imports: | 158.9 |  | 167.3 |  | 168.5 |  | 172.2
Noncellulosic | 147.2 |  | 153.5 |  | 152.7 |  | 157.7
Cellulosic | 11.7 |  | 13.8 |  | 15.8 |  | 14.5
Total since January 1 | 448.1 |  | 615.4 |  | 783.9 |  | 786.2
 | 1,000 pounds
Wool and mohair:
Raw wool imports, clean | 358.7 |  | 819.7 |  | 909.1 |  | 919.9
48s-and-finer | 201.6 |  | 569 |  | 541.2 |  | 469.5
Not-finer-than-46s | 157.2 |  | 250.7 |  | 367.9 |  | 450.3
Total since January 1 | 1067.4 |  | 1887.1 |  | 2796.2 |  | 4499.2
Wool top imports | 727.3 |  | 564.1 |  | 532.8 |  | 481.2
Total since January 1 | 1775 |  | 2339.1 |  | 2872 |  | 1652.1
Mohair imports, clean | 0 |  | 0 |  | 0 |  | 0
Total since January 1 | 0 |  | 0 |  | 0 |  | 0
NA = Not available.
Sources: USDA, National Agricultural Statistics Service;
U.S. Dept. of Commerce, U.S. Census Bureau; and [NAME].
Last update: 08/14/13.
Spreadsheet: 246d3e9c-b78b-47d1-8bdd-b473e322fcf2
Sheet: 14c

 | Swap Dealers/MSPs4 |  | Others
Product1 | Cleared2 | Uncleared | Cleared | Uncleared
Index Tranche | - | 62 | - | 26
Index | 5239 | 1945 | 4499 | 1477
OTHER* | 28 | 187 | 16 | 139
TOTAL | 5267 | 2194 | 4515 | 1642
*OTHER variable includes exotic credit products, swaptions, and total return swaps.
Spreadsheet: 849965d1700329378-excel-formula-to-calculate-working-hours-and-tips-formula
Sheet: Sheet1

Employee | Start Time | End time | Worked Time | Tips(If employee worked for 5:00 hrs = 2.5)
A | 06:00:00 | 09:00:00
B | 06:00:00 | 09:30:00
C | 06:00:00 | 12:00:00
Spreadsheet: 884868d1734144983-validate-data-only-certain-values-convalida-dati
Sheet: Foglio1

 | in range B9:B500 solo valori come range E10:F20
 |  |  |  |  |  |  | Select cells for which you want the validation to apply.
 |  |  |  |  |  |  | Go to 'Data', then select 'Data Validation.
 | in range B9:B500 only values ​​like range E10:F20 |  |  |  |  |  | Set 'Allow' to : List
 |  |  |  |  |  |  | Set 'Source' to the range where the alloed values are (best in one row)
 | 1 | 12 |  | testo predefinito
 | 2 | in corso |  | [NAME].
 | 3 | 8 |  | in corso
 | 3 | [NAME]. |  | 1
 | in corso | 21 |  | 2
 | in corso | in corso |  | 3
 | 3 | 1 |  | 4
 | [NAME]. | 8 |  | 5
 |  |  |  | 6
 |  |  |  | 7
 |  |  |  | 8
 |  |  |  | 9
 |  |  |  | 10
 |  |  |  | 11
 |  |  |  | 12
 |  |  |  | 13
 |  |  |  | 14
 |  |  |  | 15
 |  |  |  | 16
 |  |  |  | 17
 |  |  |  | 18
 |  |  |  | 19
 |  |  |  | 20
 |  |  |  | 21
 | 8
Spreadsheet: 797260d1663783378-complex-match-formula-assistance-needed-attendance
Sheet: Sheet1

 |  | January |  |  |  |  | February |  |  |  | March |  |  |  | April |  |  |  | May |  |  |  |  | June |  |  |  | July |  |  |  | August |  |  |  |  | September |  |  |  | October |  |  |  |  | November |  |  |  | December
Name | 7/10? | 2022-01-03 00:00:00 | 2022-01-10 00:00:00 | 2022-01-17 00:00:00 | 2022-01-24 00:00:00 | 2022-01-31 00:00:00 | 2022-02-07 00:00:00 | 2022-02-14 00:00:00 | 2022-02-21 00:00:00 | 2022-02-28 00:00:00 | 2022-03-07 00:00:00 | 2022-03-14 00:00:00 | 2022-03-21 00:00:00 | 2022-03-28 00:00:00 | 2022-04-04 00:00:00 | 2022-04-11 00:00:00 | 2022-04-18 00:00:00 | 2022-04-25 00:00:00 | 2022-05-02 00:00:00 | 2022-05-09 00:00:00 | 2022-05-16 00:00:00 | 2022-05-23 00:00:00 | 2022-05-30 00:00:00 | 2022-06-06 00:00:00 | 2022-06-13 00:00:00 | 2022-06-20 00:00:00 | 2022-06-27 00:00:00 | 2022-07-04 00:00:00 | 2022-07-11 00:00:00 | 2022-07-18 00:00:00 | 2022-07-25 00:00:00 | 2022-08-01 00:00:00 | 2022-08-08 00:00:00 | 2022-08-15 00:00:00 | 2022-08-22 00:00:00 | 2022-08-29 00:00:00 | 2022-09-05 00:00:00 | 2022-09-12 00:00:00 | 2022-09-19 00:00:00 | 2022-09-26 00:00:00 | 2022-10-03 00:00:00 | 2022-10-10 00:00:00 | 2022-10-17 00:00:00 | 2022-10-24 00:00:00 | 2022-10-31 00:00:00 | 2022-11-07 00:00:00 | 2022-11-14 00:00:00 | 2022-11-21 00:00:00 | 2022-11-28 00:00:00 | 2022-12-05 00:00:00 | 2022-12-12 00:00:00 | 2022-12-19 00:00:00 | 2022-12-26 00:00:00
Total Attendance |  | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 6 | 6 | 8 | 8 | 13 | 14 | 10 | 12 | 17 | 14 | 15 | 17 | 15 | 19 | 18 | 0 | 18 | 12 | 18 | 17 | 13 | 15 | 9 | 19 | 19 | 20 | 15 | 21 | 26 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
[NAME] |  | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | N | Y |  | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y
[NAME] |  |  |  |  |  |  |  |  |  |  |  |  |  |  | N | N | N | N | N | N | N | N | N | N | N |  | N | N | Y | Y | Y | Y | N | Y | Y | Y | Y | Y | Y
[NAME] |  |  |  |  |  |  |  |  |  |  |  |  |  |  | N | N | N | N | N | N | N | N | N | N | N |  | Y | N | Y | N | N | N | N | N | N | N | N | Y | Y
Danielle |  |  |  |  |  |  |  |  |  |  |  |  |  |  | N | N | N | N | N | N | N | N | N | N | N |  | N | N | N | N | N | N | N | N | N | Y | Y | Y | Y
Spreadsheet: 02e36d03-14a0-4c29-9e83-502963ef59c7
Sheet: 2-2T

 | Section 2: Inventory
 | Table 2-2Trend:  Vehicle Sources by Year
 |  | Passenger Vehicles |  |  |  | Trucks
 | Year | Owned | GSA | Leased | Total | Owned | GSA | Leased | Total
 | 2009 | 113852 | 122003 | 3959 | 239814 | 326551 | 72818 | 3047 | 402416
 | 2010 | 124656 | 120720 | 3983 | 249359 | 327431 | 72784 | 2914 | 403129
 | 2011 | 124498 | 121157 | 3742 | 249397 | 324605 | 73591 | 2842 | 401038
 | 2012 | 126917 | 115451 | 3432 | 245800 | 322048 | 70263 | 2280 | 394591
 | 2013 | 122927 | 110438 | 2259 | 235624 | 319723 | 68784 | 2068 | 390575
 |  | Other |  |  |  | Total
 | Year | Owned | GSA | Leased | Total | Owned | GSA | Leased | Total
 | 2009 | 3941 | 4836 | 696 | 9473
 | 2010 | 4262 | 4866 | 538 | 9666
 | 2011 | 4041 | 4981 | 401 | 9423
 | 2012 | 4396 | 4975 | 299 | 9670
 | 2013 | 4650 | 4767 | 132 | 9549
Spreadsheet: 93198d1292800239-how-do-i-sum-up-all-cells-in-different-sheets-to-a-cell-in-sheet1-timesheet
Sheet: Sheet2

COMPANY NAME |  |  |  |  |  |  |  | EMPLOYEE TIME SHEET |  |  |  |  |  |  |  | Year 2010
DEPT.: |  | ENGINEERING |  |  |  |  |  |  | EMPLOYEE: |  |  | Employee Name |  |  |  |  | WEEK ENDING: |  |  |  | March 2 2010
 | WED |  | THUR |  | FRI |  | SAT |  | SUN |  | MON |  | TUE |  | TOTAL |  |  |  | JOB
 | REG | O.T. | REG | O.T. | REG | O.T. | REG | O.T. | REG | O.T. | REG | O.T. | REG | O.T. | REG | O.T. |  |  | NUMBER |  | PHASE |  | TYPE |  | JOB NAME
1 | 4 |  |  |  |  |  |  |  |  |  |  |  |  |  | 4 |  |  |  | 00Gen |  | 100 |  | OTH |  | General
2 |  |  | 4 |  | 8 |  |  |  |  |  |  |  |  |  | 12 |  |  |  | 9038 |  |  |  |  |  | Suny Radioactive
3 | 4 |  |  |  |  |  |  |  |  |  | 8 |  | 4 |  | 16 |  |  |  | 9046 |  |  |  |  |  | [NAME]
4 |  |  |  |  |  |  |  |  |  |  |  |  | 4 |  | 4 |  |  |  | 10010 |  |  |  |  |  | Public Theater
5 |  | 1 | 4 | 2 |  |  |  |  |  |  |  |  |  |  | 4 | 3 |  |  | 10025 |  |  |  |  |  | Project Trio
6 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10033 |  |  |  |  |  | Aeropostale
7
8
9
10
11
12
13
14 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 00Holiday |  |  |  |  |  | Holiday/Vacation
15 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 00Sick |  |  |  |  |  | Sickness
TOT | 8 | 1 | 8 | 2 | 8 |  |  |  |  |  | 8 |  | 8 |  | 40 | 3
In |  | am |  | am |  | am |  | am |  | am |  | am |  | am
Out |  | pm |  | pm |  | am |  | am |  | am |  | pm |  | am
Hrs
EMPLOYEE SIGNATURE:____________________________
SUPERVISOR SIGNATURE:__________________________