tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 101805d1299850927-extracting-specifics-from-xls-file-excel-2003-pl-replacements-1100-and-1200
Sheet: 1206-LT 130

Phase | Project No. | Segment ID (GIE) | Route No. | Facility Type | Pipe O.D., in. | Segment Length, ft | Proposed [NAME] | Proposed End M.P. | Proposed total length, ft. | Proposed [NAME], in. | Segment Length per Construction Classification, ft |  |  | Bored Crossings |  | HDDs |  | Potential Re-route | Move-arounds | Comments, notes, assumptions
 |  |  |  |  |  |  |  |  |  |  | Non-cong. | Semi-cong. | High-cong. | Q-ty | Length, Feet | Q-ty | Length, Feet | Yes/No | Q-ty |  | [NAME] | MP1 | MP2 | JNTEFF | GIRTH_WELD | LONG_SEAM | JOINT_TYPE | [NAME] | W_THICK | TEST_DATE | TEST_PRESS | [NAME] | TEST_DUR | MAOP | SMYS_MAOP | MOP | SMYS_MOP | YR_INSTALL | CLASSESENT | HCA_ID | SCC_THREAT | MANU_HREAT | CONSTHREAT | OF_THREAT | HS_THREAT | Legend Name | PerSMYS | TestPer | Sub_J | Fab_Note | Threat | Seismic | Object_ID | Shape_Length
1 | 1206 | 6821 | 130 | LT | 10.75 | 2530 | 0 | 0.5 | 2530 | 10.75 | 2530 |  |  |  |  | 1 | 2530 |  |  |  | 101 | 0 | 0.5 | 1.000 | ARC | SMLS |  | 35000 | 0.375 |  | 0 |  | 0 | 800 | 32.7619 | 800 | 32.7619 | 1944-01-01 00:00:00 | 3 | Z15 |  |  |  |  |  | FabNoTest1 | 32.76 | 0 | N | Sub_J No | Fab&Con |  | 10656 | 791.8883258046428
Spreadsheet: 134378d1325261460-conditional-formatting-formula-to-check-expired-old-dates-conditional-formatting-formula
Sheet: Sheet1

Date | Status
2010-01-03 00:00:00
2010-01-03 00:00:00
2010-01-03 00:00:00
2010-01-03 00:00:00
2011-12-11 00:00:00
2011-12-12 00:00:00
2011-12-12 00:00:00
2011-12-12 00:00:00
2011-12-12 00:00:00
2011-12-10 00:00:00
2011-12-12 00:00:00
2011-12-10 00:00:00
2011-12-12 00:00:00
2010-08-22 00:00:00
2011-12-12 00:00:00
2011-12-12 00:00:00
2011-12-13 00:00:00
2011-12-13 00:00:00
2011-12-06 00:00:00
2011-12-13 00:00:00
2011-12-13 00:00:00
2011-12-10 00:00:00
2011-12-14 00:00:00
2011-12-14 00:00:00
2011-12-14 00:00:00
2011-12-14 00:00:00
2011-12-14 00:00:00
2011-12-17 00:00:00
2011-12-17 00:00:00
2011-12-18 00:00:00
2011-12-19 00:00:00
2011-12-17 00:00:00
2011-12-17 00:00:00
2011-12-18 00:00:00
2011-12-19 00:00:00
2011-12-19 00:00:00
2011-12-19 00:00:00
2011-12-19 00:00:00
2011-12-19 00:00:00
2011-12-19 00:00:00
2011-12-19 00:00:00
2011-12-19 00:00:00
2011-12-20 00:00:00
2011-12-20 00:00:00
2008-09-15 00:00:00
2011-12-20 00:00:00
2011-12-20 00:00:00
2011-12-20 00:00:00
2011-12-20 00:00:00
2011-12-21 00:00:00
2011-11-01 00:00:00
2011-11-14 00:00:00
2011-11-18 00:00:00
2011-12-15 00:00:00
2011-12-19 00:00:00
2011-12-22 00:00:00
2011-12-22 00:00:00
2011-12-28 00:00:00
2011-12-28 00:00:00
2011-12-28 00:00:00
2011-12-28 00:00:00
2011-12-28 00:00:00
2011-12-28 00:00:00
2011-12-28 00:00:00
2011-12-28 00:00:00
2011-12-28 00:00:00
2011-12-28 00:00:00
2011-12-29 00:00:00
2011-12-29 00:00:00
2011-12-29 00:00:00
2011-12-29 00:00:00
2011-12-30 00:00:00
Spreadsheet: 143262d1330338099-percentage-increase-and-decrease-formula-example
Sheet: Sheet1

2010-01-01 00:00:00 | 2010-02-01 00:00:00 | 2010-03-01 00:00:00 | 2010-04-01 00:00:00 | 2010-05-01 00:00:00 | 2010-06-01 00:00:00 | 2010-07-01 00:00:00 | 2010-08-01 00:00:00 | 2010-09-01 00:00:00 | 2010-10-01 00:00:00 | 2010-11-01 00:00:00 | 2010-12-01 00:00:00
2347 | 1182 | 4403 | 3795 | 4981 | 1048 | 4101 | 2300 | 2339 | 4589 | 4510 | 4049
2011-01-01 00:00:00 | 2011-02-01 00:00:00 | 2011-03-01 00:00:00 | 2011-04-01 00:00:00 | 2011-05-01 00:00:00 | 2011-06-01 00:00:00 | 2011-07-01 00:00:00 | 2011-08-01 00:00:00 | 2011-09-01 00:00:00 | 2011-10-01 00:00:00 | 2011-11-01 00:00:00 | 2011-12-01 00:00:00
2861 | 4018 | 1385 | 4290 | 2576 | 5574 | 2483 | 1957 | 2720 | 4489 | 3930 | 2475
Spreadsheet: 766792d1644058216-lookup-to-find-value-based-on-two-tables-one-based-on-age-the-other-on-gender-exempel-ans
Sheet: Blad1 (2)

Ålder | Kvinnor | Män | 120 | [PHONE]
0 | 2.53781854347415 | 2.48752159571463 | 4 | [PHONE]
1 | 1.57355730479835 | 1.65643287574265 | 3 | [PHONE]
2 | 0.592771145722348 | 0.628996835492018 | 12 | [PHONE]
3 | 0.528201284181516 | 0.553806404848004 | 99 | [PHONE]
4 | 0.464123335703544 | 0.492169261006776 | 5 | [PHONE]
5 | 0.394307379005662 | 0.429607523447464 | 0 | [PHONE]
6 | 0.0984711929821931 | 0.0955479363725832 | 98 | [PHONE]
7 | 0.0887782306093956 | 0.0861207586680879 | 22 | [PHONE]
8 | 0.0852485889083148 | 0.0821438350913849 | 97 | [PHONE]
9 | 0.0850204271785771 | 0.0796889527180316 | 97 | [PHONE]
10 | 0.0796524423855764 | 0.0780617527451871 | 97 | [PHONE]
11 | 0.0805598540907858 | 0.0778789731079865 | 96 | [PHONE]
12 | 0.0743132700221398 | 0.0762039498269688 | 96 | [PHONE]
13 | 0.0788422998793378 | 0.0764340655536161 | 96 | [PHONE]
14 | 0.0878922355442892 | 0.0752239300449019 | 96 | [PHONE]
Spreadsheet: 128206d1320853242-formula-weighing-down-workbook-upsa
Sheet: Sheet1

Log
 | UPS  A | UPS  B | Total | Time CST
 |  |  |  |  | Avrage Total =
Spreadsheet: 747105d1631222036-help-with-weighting-rank-function-by-another-column-simple-and-weighted-rank
Sheet: Play1

 |  | Value | [NAME] | Value | Value | [NAME] | [NAME] | [NAME] | [NAME] | [NAME] | [NAME]
 | Mapping: |  | G * I |  |  | F - E | G / E | H * D | H | I | K - J
 | Dealership | Inventory | Col % | 2019 Sales | 2020 Sales | Y/Y Chng | % Y/Y Chng | % Y/Y Chng (Wght) | Simple Rank | Weighted Rank | Rank Diff
 | A | 29201 |  | 464239035 | 314537210
 | B | 6397 |  | 154397936 | 282591732
 | C | 21144 |  | 163426018 | 384613788
 | D | 24371 |  | 462534312 | 113758949
 | E | 32881 |  | 426908506 | 115696952
 | F | 12377 |  | 430015693 | 380925220
 | G | 32084 |  | 541739671 | 569649677
 | H | 4826 |  | 649076216 | 123319350
 | I | 12653 |  | 184112198 | 119201137
 | J | 11657 |  | 226830476 | 130245846
 | K | 12788 |  | 314708031 | 209719608
 | L | 13116 |  | 341900913 | 401616236
 | M | 4116 |  | 504103322 | 200676726
 | N | 13785 |  | 534344951 | 212346993
 | O | 9415 |  | 639052273 | 205960106
 | P | 30787 |  | 463089155 | 383171575
 | Q | 10521 |  | 537994433 | 549524940
 | R | 23445 |  | 558963712 | 595212594
 | Total
Spreadsheet: 91077d1290767462-iserror-function-to-remove-value-value
Sheet: Sheet1

 | Name | Job Title | Benchmark | WTE | Acutal Working Days | Interviews per day             (5 day week) | Number of days Worked | [NAME] Per Day | Apollo Days | Interviews Required |  | [NAME] Per Week | Interviews Booked
1 |  |  |  | 1 | 20 | - | 3 | - | 16.36 | - | 20 | - | 35 |  | #N/A |  | Bus Driver | 6.17
 | There is a #[NAME] in cell P3. If the dropdown is selected in C3 to Bus Driver the error dissapears. How can I trap the error so that it does not show
 | if nothing is selected in cell [NAME]
Spreadsheet: 813776d1673976006-converting-decimal-into-time-2015-2022-perf-by-wc-questions
Sheet: Sheet1

WC | DATE | WO-SUF | SEQ | NUM | GOOD | SCRAP | EST. HOURS | ACT. HOURS | PERF | EST W/ COLON | ACT W/ COLON
5X01 | 2022-01-03 00:00:00 | 002881-012 | 008000 | #5X01 | 0 | 0 | 0 | 1.216666666666666 | 0
5X01 | 2022-01-03 00:00:00 | 002881-012 | 008000 | 00015 | 3 | 0 | 0.9 | 0.01666666666666667 | 4500
5X01 | 2022-01-03 00:00:00 | 002881-012 | 008000 | 00015 | 0 | 0 | 0 | 1.233333333333333 | 0
5X01 | 2022-01-03 00:00:00 | 002881-013 | 004000 | #5X01 | 0 | 0 | 0 | 3.583333333333333 | 0
5X01 | 2022-01-03 00:00:00 | 002881-013 | 004000 | 00015 | 24 | 0 | 15.6 | 0.01666666666666667 | 8000
5X01 | 2022-01-03 00:00:00 | 002881-013 | 004000 | 00078 | 19 | 1 | 12.35 | 1.95 | 289.2
5X01 | 2022-01-03 00:00:00 | 002881-013 | 004000 | #5X01 | 0 | 0 | 0 | 2.316666666666666 | 0
5X01 | 2022-01-03 00:00:00 | 002881-013 | 008000 | #5X01 | 0 | 0 | 0 | 0.3333333333333333 | 0
5X01 | 2022-01-03 00:00:00 | 002881-013 | 008000 | 00015 | 24 | 0 | 7.200000000000001 | 3.25 | 133.8
5X01 | 2022-01-03 00:00:00 | 002881-013 | 008000 | 00078 | 12 | 1 | 3.6 | 0.5833333333333334 | 281.3
5X01 | 2022-01-03 00:00:00 | 002881-013 | 008000 | #5X01 | 0 | 0 | 0 | 0.7 | 0
HM03 | 2022-01-03 00:00:00 | 002935-002 | 004000 | #HM03 | 0 | 0 | 0 | 0.03333333333333333 | 0
HM03 | 2022-01-03 00:00:00 | 002935-002 | 004000 | 00088 | 0 | 0 | 16 | 0.03333333333333333 | 3333.3
HM03 | 2022-01-03 00:00:00 | 002935-002 | 005000 | #HM03 | 0 | 0 | 0 | 4.033333333333332 | 0
HM03 | 2022-01-03 00:00:00 | 002935-002 | 005000 | 00059 | 48 | 0 | 24 | 3.366666666666667 | 712.2
HM03 | 2022-01-03 00:00:00 | 002935-002 | 005000 | 00059 | 0 | 0 | 0 | 0.2 | 0
HM03 | 2022-01-03 00:00:00 | 002935-002 | 005000 | 00059 | 0 | 0 | 0 | 0.4666666666666668 | 0
HM03 | 2022-01-03 00:00:00 | 002935-002 | 005000 | #HM03 | 0 | 0 | 0 | 0.4666666666666668 | 0
HM03 | 2022-01-03 00:00:00 | 002935-002 | 005000 | 00059 | 0 | 0 | 0 | 0.06666666666666667 | 0
HM03 | 2022-01-03 00:00:00 | 002935-002 | 005000 | #HM03 | 0 | 0 | 0 | 0.1 | 0
HM04 | 2022-01-03 00:00:00 | 002892-001 | 010000 | 00059 | 0 | 2 | 0 | 0 | 0
HM04 | 2022-01-03 00:00:00 | 002892-001 | 010000 | 00109 | 12 | 0 | 17 | 0.6666666666666666 | 929
HM04 | 2022-01-03 00:00:00 | 002892-001 | 010000 | #HM04 | 0 | 0 | 0 | 1.166666666666667 | 0
Spreadsheet: 99901d1298429729-excel-sheets-as-webpages-scribe11-1-
Sheet: Head-to-head

 | Head - to - Head Results |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | T R A N S A C T I O N S
 |  | Strife | Hitmen | Pandas | Monks | Badgers | Machine |  | Leaves | Nine | SeaGoats | Black Sox | Beach | Vandals |  | Murder | Grizzlies | Sluggers | Kings | Bombers | Stegos |  | - - - - - - - - - - R o s t e r   m [NAME]
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Team (Game #) | Player sent down | Player called up
Strife |  | x
Hitmen |  |  | x
Pandas |  |  |  | x
Monks |  |  |  |  | x
Badgers |  |  |  |  |  | x
Machine |  |  |  |  |  |  | x
Leaves |  |  |  |  |  |  |  |  | x
Nine |  |  |  |  |  |  |  |  |  | x
SeaGoats |  |  |  |  |  |  |  |  |  |  | x
Black Sox |  |  |  |  |  |  |  |  |  |  |  | x
Beach |  |  |  |  |  |  |  |  |  |  |  |  | x
Vandals |  |  |  |  |  |  |  |  |  |  |  |  |  | x
Murder |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | x
Grizzlies |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | x
Sluggers |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | x
Kings |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | x
Bombers |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | x
Stegos |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | x
- - - - - - - - - - - - - - - T R A D E S - - - - - - - - - - - - - - -
Spreadsheet: 194156d1353063310-filtering-depending-on-a-cells-value-filteringexample
Sheet: Sheet1

 |  |  |  |  |  |  | China
 |  |  |  |  |  |  | USA
 |  |  |  |  |  |  | Italy
 |  | Country | Product data |  |  |  |  | Italy
 |  | China | 1
 |  | China | 2
 |  | China | 3
 |  | China | 4
 |  | China | 5
 |  | USA | 10
 |  | USA | 11
 |  | USA | 12
 |  | USA | 13
 |  | USA | 14
 |  | USA | 15
 |  | Italy | 20
 |  | Italy | 21
 |  | Italy | 22
 |  | Italy | 23
 |  | Italy | 24
 |  | Italy | 25
Spreadsheet: 767021d1644243385-finding-if-two-values-are-within-10-of-one-another-test-workbook
Sheet: Sheet1

810000 | Jun 2021 | 825000
785000 | May 2021 | 775000
1280000 | May 2021 | 1400000
888000 | May 2021 | 900000
2263000 | Jul 2021 | 2350000
907000 | Jun 2021 | 925000
800000 | Mar 2021 | 800000
760000 | Mar 2021 | 775000
990000 | Apr 2021 | 1000000
890000 | Jan 2021 | 895000
1350000 | Sept 2021 | 1340000
900000 | Feb 2021 | 922500
3125000 | May 2021 | 3250000
1048750 | Mar 2021 | 899000
1200000 | Jun 2021 | 1250000
1737500 | May 2021 | 1750000
852500 | May 2021 | 850000
1750000 | Mar 2021 | 2000000
1835000 | Nov 2021 | 3000000
2650000 | Feb 2021 | 2750000
875000 | May 2021 | 905000
1715000 | Jun 2021 | 1750000
1350000 | Nov 2021 | 1250000
Spreadsheet: 5275147e-5d3e-4aac-ad00-6be28d2cfc6c
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
FFTHI | Test | FFTHI | [NAME] (Navane) | [NAME] (Navane) | High Performance Liquid Chromatography with Fluorescence Detection (HPLC-FL) | Green-Top Tube (Sodium Heparin): GrnNaHp OR Plain, Red-Top Tube: Red OR |  |  | 3 | mL | Submit only 1 of the following specimens:   Plasma Draw blood in a green-top (sodium heparin) tube(s). ([NAME] is not acceptable.) Spin down and send 3 mL sodium heparin plasma refrigerated. Note:	1. Indicate plasma on request form.    	2. Label specimen appropriately (plasma).  	3. Trough levels are most reproducible   Serum Draw blood in a plain, red-top tube(s). (Serum gel tube is not acceptable.) Spin down and send 3 mL of serum refrigerated. Note:	1. Indicate serum on request form. 	2. Label specimen appropriately (serum). 	3. Trough levels are most reproducible | 0.6 mL NOTE: Submission of the m | Specimens other than	Plasma, serum Anticoagulants other than	Sodium heparin, EDTA, plain red-top Hemolysis	NA Thawing	NA Lipemia	NA Icteric	NA | [NAME]: 10.0 - 30.0 ng/mL   Test Performed By: Medtox Laboratories, Inc. 402 W. County Road D St. Paul, MN 55112 | Monday through Sunday | 5 days | 7-9 days | 1 | 82491 |  |  |  |  | Medtox Laboratories, Inc
FFTHI | [NAME] | VARIES | Varies |  |  |  | Refrigerated
FFTHI | Result | Z1195 | [NAME] (Navane) | [NAME] (Navane) | Alphanumeric |  |  |  |  | ng/mL |  |  |  |  |  |  |  |  |  | In Process
Spreadsheet: 794880d1662378235-absence-trackershowing-extra-days-in-some-months-how-to-fix-employee-absence-tracker
Sheet: Oct Abs Data 

 |  |  | PLEASE NOTE:  The start day is the first day of leave/sickness and the end date is the last day of leave/sickness and NOT the day that they retun to work
 | Employee Name | Start Date | End Date | Type of Leave | Reason for Sickness Absence | Other reasons for Leave Of Absence | Days | Self Cert Completed | Teaching / Non Teaching | Continued absence from previous month? | Has a Doctors Note been submitted? | Doctors Note Start | Doctors Note End | Is the [NAME] ongoing at the end of the month
 | Employee 1 | 2022-12-22 00:00:00 | 2022-12-30 00:00:00 | Sickness Absence | Heart (Pressure, Circulation etc)
 | Employee 1 | 2022-08-03 00:00:00 | 2022-08-05 00:00:00 | Sickness Absence | Mental Health (Stress / Anxiety etc)
 | Employee 1 | 2022-08-10 00:00:00 | 2022-08-12 00:00:00 | Sickness Absence | Back / Neck
 | Employee 1 | 2022-08-17 00:00:00 | 2022-08-19 00:00:00 | Dependant Care Paid
 | Employee 1 | 2022-08-24 00:00:00 | 2022-08-26 00:00:00 | Compassionate Paid
 | Employee 1 | 2022-12-22 00:00:00 | 2022-12-29 00:00:00 | Leave of Absence Paid |  | Fertility
 | Employee 1 | 2022-03-03 00:00:00 | 2022-03-10 00:00:00 | Leave of Absence Unpaid |  | Study Leave
 | Employee 1 | 2022-05-05 00:00:00 | 2022-05-15 00:00:00 | Dependant Care Unpaid
 | Employee 1
 | Employee 1
Spreadsheet: michelle_lokay__26566__imbalsumm0012
Sheet: PNM

PNM imbalance
 | Measured | Scheduled | Imbalance
9236 | -42051 | -66474
9238 |  |  |  |  |  |  |  |  |  | 2000-01-06 00:00:00 | paper | 0.5
56422 | -1524649 | -1654374
58710 | -230795 | -108932
60921 | -363325 | -267860
78026 | 42844
500084 | -34254 | -48000
500085 | -103744 | -79216
500097 | -10828
INDEX
2000-11-30 00:00:00 |  |  | 370218.8
2000-12-16 00:00:00
 |  | 300 | 7.75
 |  | 300 | 6.375
 |  | 400 | 5
 |  | 1000
Spreadsheet: kevin_hyatt__19599__Derailment_Summary
Sheet: Summary

Transwestern Pipeline Company
Train Derailment - Summary of Lost Margins
 |  |  |  | Margins
 |  |  |  | Lost
Commodity Volumes Unable to Transport on
Firm Contracts |  |  |  | -69330
Fuel Retention Lost in October |  | -156509
Fuel Not Used on Pipeline |  | 33390
Net Fuel Retention Lost
 |  | .
Fuel Retention Lost in November |  | -365653
Fuel Not Used on Pipeline |  | 100800
Net Fuel Retention Lost
Total Lost Margins
Spreadsheet: 679329d1590336205-slicer-which-can-list-by-specific-periods-2020-05-20-oeldere3-zanshin777-678478d1589909386-slicer-which-can-list-by-specific-periods-ex
Sheet: PT

Som van Duration | Kolomlabels
Rijlabels | 1 < 3 Month | 3 > 6 Month | 6 Month or more < 2 year | Year > 2 | Eindtotaal
AEU | 15 | 60 |  | 1221 | 1296
Ear_Training |  |  | 10 |  | 10
Guitar | 20 | 10 |  |  | 30
Intellectual |  | 70 | 39 |  | 109
Keyboard |  | 50 |  |  | 50
Songwriting | 30 |  |  |  | 30
Eindtotaal | 65 | 190 | 49 | 1221 | 1525
Spreadsheet: 702362d1604318512-if-function-smart-formula
Sheet: Sheet1

 | Basic Task (m) | Total Output | Basic Output | Comment
 | 120 | 106
 | 120 | 120
 | 120 | 134 |  | If Total Output is more than the Basic Task, return the Basic Task, i.e. 120
 | 115 | 85
 | 115 | 115
 | 115 | 125 |  | If Total Output is more than the Basic Task, return the Basic Task, i.e. 115
 | 75 | 65
 | 75 | 75
 | 75 | 85 |  | If Total Output is more than the Basic Task, return the Basic Task, i.e. 75
 | 105 | 95
 | 105 | 105
 | 105 | 122 |  | If Total Output is more than the Basic Task, return the Basic Task, i.e. 105
Spreadsheet: 19f771e9-7a95-4dd9-b461-3b97d6d97c05
Sheet: 13a

 |  | Dealers** |  | Buyside |  | TOTAL
Product |  | Cleared*** | Uncleared | Cleared | Uncleared | Cleared | Uncleared
Single - Name* | Corporate | 507152 | 7486521 | 507152 | 736184 | 1014305 | 8222706
 | Loans |  | 21393 |  |  |  | 21393
 | Municipal |  | 3336 |  | <1,000 |  | 3336
 | Recovery
 | Sovereign | 32868 | 2607129 | 32868 | 236454 | 65737 | 2843582
Index Tranche | Asia |  | <1,000 |  | <100 |  | <1,000
 | Europe |  | 779235 |  | 68020 |  | 847255
 | North America |  | 890764 |  | 32829 |  | 923593
Index | Asia | 1302 | 299578 | 1597 | 45109 | 2898 | 344687
 | Europe | 269206 | 2402776 | 268797 | 361201 | 538004 | 2763977
 | North America | 460322 | 1427757 | 484339 | 311427 | 944660 | 1739184
Other | Exotic
 | Swaptions
 | Total Return Swap
TOTAL |  | 1270851 | 15918488 | 1294753 | 1791225 | 2565604 | 17709713
Estimated gross notional amount outstanding, January 4 weekly snapshot, by product type (millions of USD), all participant types, tenors and currencies.  Data are adjusted for double-counting of cleared trades to show a single exposure for each trade.
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 Explanatory Notes for participant type descriptions.
***See Explanatory Notes for cleared and uncleared descriptions.
The Commission requests feedback on the format and content of this CFTC Swaps Report table. Submit comments to [EMAIL].
Spreadsheet: 234a429f-cee1-429f-97ee-4149287cea7d
Sheet: Sheet1

Redmond Police Department Crime Statistics
Year | Population | Index Crime Total | Total Crime Rate per 1,000 Pop. (rounded) | Violent Crime Total | Violent Crime Rate per 1,000 Pop. (rounded) | Murder | Rape | Robbery | Aggravated Assault | Property Crime Total | Property Crime Rate per 1,000 Pop. (rounded) | [NAME] | Burglary | Larceny | Motor Vehicle Theft
2013 | 55840 | 1666 | 30 | 34 | 1 | 0 | 19 | 4 | 11 | 1632 | 29 | 4 | 179 | 1381 | 68
2012 | 55360 | 1242 | 22 | 36 | 1 | 0 | 8 | 11 | 17 | 1206 | 22 | 7 | 168 | 983 | 48
*2011 | 55150 | 1397 | 25 | 42 | 1 | 0 | 14 | 10 | 18 | 1355 | 25 | 4 | 157 | 1145 | 49
2010 | 53680 | 1623 | 30 | 62 | 1 | 0 | 20 | 18 | 24 | 1561 | 29 | 0 | 198 | 1296 | 67
2009 | 51890 | 1714 | 33 | 58 | 1 | 0 | 9 | 23 | 26 | 1656 | 32 | 3 | 206 | 1382 | 65
2008 | 51320 | 1751 | 34 | 65 | 1 | 2 | 17 | 20 | 26 | 1686 | 33 | 5 | 175 | 1420 | 86
2007 | 50680 | 1768 | 35 | 78 | 2 | 0 | 13 | 19 | 46 | 1690 | 33 | 5 | 239 | 1292 | 154
2006 | 49890 | 1808 | 36 | 64 | 1 | 0 | 12 | 20 | 32 | 1744 | 35 | 6 | 208 | 1332 | 198
2005 | 47600 | 1878 | 40 | 86 | 2 | 0 | 21 | 16 | 49 | 1792 | 38 | 4 | 203 | 1393 | 192
2004 | 46900 | 1888 | 40 | 79 | 2 | 1 | 19 | 24 | 35 | 1809 | 39 | 8 | 201 | 1424 | 176
2003 | 46480 | 1949 | 42 | 90 | 2 | 2 | 22 | 16 | 50 | 1859 | 40 | 6 | 227 | 1438 | 188
2002 | 46040 | 1980 | 43 | 80 | 2 | 1 | 17 | 19 | 43 | 1900 | 41 | 7 | 192 | 1531 | 170
2001 | 45490 | 1676 | 37 | 97 | 2 | 0 | 15 | 17 | 65 | 1579 | 35 | 3 | 145 | 1295 | 136
2000 | 44020 | 1682 | 38 | 95 | 2 | 0 | 12 | 15 | 68 | 1587 | 36 | 3 | 198 | 1205 | 181
1999 | 43610 | 1704 | 39 | 88 | 2 | 2 | 17 | 15 | 54 | 1616 | 37 | 9 | 201 | 1286 | 120
1998 | 43310 | 1575 | 36 | 85 | 2 | 1 | 15 | 8 | 61 | 1490 | 34 | 17 | 195 | 1149 | 129
1997 | 42230 | 1732 | 41 | 68 | 2 | 0 | 12 | 16 | 40 | 1664 | 39 | 9 | 260 | 1297 | 98
1996 | 40805 | 1628 | 40 | 43 | 1 | 0 | 16 | 14 | 13 | 1585 | 39 | 14 | 199 | 1294 | 78
1995 | 40030 | 1613 | 40 | 74 | 2 | 0 | 13 | 27 | 34 | 1539 | 38 | 26 | 243 | 1179 | 91
1994 | 39390 | 1508 | 38 | 70 | 2 | 0 | 15 | 24 | 31 | 1438 | 37 | 20 | 192 | 1152 | 74
1993 | 40095 | 1714 | 43 | 58 | 1 | 1 | 18 | 18 | 21 | 1656 | 41 | 17 | 247 | 1305 | 87
*Mid-year migration from Uniform Crime Reporting (UCR) to National Incident-Based Reporting System (NIBRS).
These statistics are reported monthly to Washington Association of Chiefs and Sheriffs and managed by the FBI
Spreadsheet: 139911d1328542835-ongoing-time-sheet-problem-book1
Sheet: Site 2

 |  |  |  |  |  |  |  |  |  | Pay Period: Jan 29th - Feb 11th, 2012 |  |  |  |  |  |  |  |  |  |  | Date
EMP# | NAME | Su | Mo | [NAME] | We | Th | Fr | Sa | REG HRS | OT HRS | UNWRK STAT HRS | TOT WKLY HRS | Su | Mo | [NAME] | We | Th | Fr | Sa | REG HRS | OT HRS | UNWRK STAT HRS | TOT WKLY HRS | TOT BIWKLY HRS |  | Site 2 |  | 1900-01-29 00:00:00 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2012-01-08 00:00:00
 |  | 1900-01-29 00:00:00 | 1900-01-30 00:00:00 | 1900-01-31 00:00:00 | 1900-02-01 00:00:00 | 1900-02-02 00:00:00 | 1900-02-03 00:00:00 | 1900-02-04 00:00:00 |  |  |  |  | 1900-02-05 00:00:00 | 1900-02-06 00:00:00 | 1900-02-07 00:00:00 | 1900-02-08 00:00:00 | 1900-02-09 00:00:00 | 1900-02-10 00:00:00 | 1900-02-11 00:00:00 |  |  |  |  |  |  | Somewhere Street, Anywhere City |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | S | M | T | W | T | F | S | Totals |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | S | M | T | W | T | F | S | Totals
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6 | Employee 6 | 07:00:00 | 19:00:00 | 17:00:00 | 23:59:00 | 00:01:00 | 07:00:00 | 22:00:00 | 23:59:00 | 00:01:00 | 07:00:00 |  |  | 19:00:00 | 23:59:00 |  |  |  |  |  |  |  |  |  | 00:01:00 | 07:00:00 | 17:00:00 | 23:59:00 | 00:01:00 | 07:00:00 | 17:00:00 | 22:00:00 |  |  | 17:00:00 | 23:59:00 | 00:01:00 | 07:00:00
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6 | Employee 6 | 00:01:00 | 07:00:00 |  |  | 18:30:00 | 23:59:00 | 00:01:00 | 07:00:00 | 17:00:00 | 22:00:00 | 17:00:00 | 23:59:00 | 00:01:00 | 07:00:00 |  |  |  |  |  |  |  |  |  | 07:00:00 | 19:00:00 |  |  | 17:00:00 | 23:59:00 | 00:01:00 | 07:00:00 | 22:00:00 | 23:59:00 | 00:01:00 | 07:00:00
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7 | Employee 7 | 19:00:00 | 23:59:00 | 00:01:00 | 07:00:00 |  |  | 17:00:00 | 22:00:00 | 22:00:00 | 23:59:00 | 00:01:00 | 07:00:00 | 07:00:00 | 19:00:00 |  |  |  |  |  |  |  |  |  | 19:00:00 | 23:59:00 | 00:01:00 | 07:00:00 |  |  | 22:00:00 | 23:59:00 | 00:01:00 | 07:00:00 |  |  | 07:00:00 | 19:00:00
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 7 | Employee 7 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 17:00:00 | 22:00:00
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5 | Employee 5 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 19:00:00 | 23:59:00