tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 90892d1290597707-calculate-totals-book1
Sheet: Count Data

TINAME | CDATEC | Station | HEADER | STIME | PON | Var
PAUL | 14/10/2010 | West Kirby | 72950101 | 0551 | 7 | WI
PAUL | 14/10/2010 | West Kirby | 72950101 | 0621 | 15 | WI
PAUL | 14/10/2010 | West Kirby | 72950101 | 0651 | 12 | WI
PAUL | 14/10/2010 | West Kirby | 72950101 | 0706 | 25 | WI
PAUL | 14/10/2010 | West Kirby | 72950101 | 0721 | 19 | WI
PAUL | 14/10/2010 | West Kirby | 72950101 | 0736 | 19 | WI
PAUL | 14/10/2010 | West Kirby | 72950101 | 0751 | 36 | WI
PAUL | 14/10/2010 | West Kirby | 72950101 | 0806 | 54 | WI
PAUL | 14/10/2010 | West Kirby | 72950101 | 0821 | 61 | WI
PAUL | 14/10/2010 | West Kirby | 72950101 | 0836 | 45 | WI
PAUL | 14/10/2010 | West Kirby | 72950101 | 0851 | 40 | WI
PAUL | 14/10/2010 | West Kirby | 72950101 | 0906 | 12 | WI
PAUL | 14/10/2010 | West Kirby | 72950101 | 0921 | 15 | WI
PAUL | 14/10/2010 | West Kirby | 72950101 | 0936 | 22 | WI
PAUL | 14/10/2010 | West Kirby | 72950101 | 0951 | 10 | WI
DEAN | 14/10/2010 | West Kirby | 72830301 | 1006 | 14 | WI
DEAN | 14/10/2010 | West Kirby | 72830301 | 1021 | 12 | WI
PAUL | 14/10/2010 | West Kirby | 72950101 | 1036 | 19 | WI
PAUL | 14/10/2010 | West Kirby | 72950101 | 1051 | 16 | WI
PAUL | 14/10/2010 | West Kirby | 72950101 | 1106 | 15 | WI
PAUL | 14/10/2010 | West Kirby | 72950101 | 1121 | 13 | WI
PAUL | 14/10/2010 | West Kirby | 72950101 | 1136 | 5 | WI
PAUL | 14/10/2010 | West Kirby | 72950101 | 1151 | 11 | WI
DEAN | 14/10/2010 | West Kirby | 72830301 | 0657 | 0 | WO
DEAN | 14/10/2010 | West Kirby | 72830301 | 0727 | 0 | WO
DEAN | 14/10/2010 | West Kirby | 72830301 | 0757 | 0 | WO
DEAN | 14/10/2010 | West Kirby | 72830301 | 0812 | 0 | WO
DEAN | 14/10/2010 | West Kirby | 72830301 | 0827 | 0 | WO
DEAN | 14/10/2010 | West Kirby | 72830301 | 0842 | 0 | WO
DEAN | 14/10/2010 | West Kirby | 72830301 | 0857 | 0 | WO
DEAN | 14/10/2010 | West Kirby | 72830301 | 0912 | 0 | WO
DEAN | 14/10/2010 | West Kirby | 72830301 | 0927 | 0 | WO
DEAN | 14/10/2010 | West Kirby | 72830301 | 0947 | 0 | WO
DEAN | 14/10/2010 | West Kirby | 72830301 | 0957 | 0 | WO
DEAN | 14/10/2010 | West Kirby | 72830301 | 1012 | 0 | WO
DEAN | 14/10/2010 | West Kirby | 72830301 | 1027 | 0 | WO
PAUL | 14/10/2010 | West Kirby | 72950101 | 1042 | 0 | WO
PAUL | 14/10/2010 | West Kirby | 72950101 | 1057 | 0 | WO
DEAN | 14/10/2010 | West Kirby | 72830301 | 1112 | 0 | WO
DEAN | 14/10/2010 | West Kirby | 72830301 | 1127 | 0 | WO
DEAN | 14/10/2010 | West Kirby | 72830301 | 1142 | 0 | WO
DEAN | 14/10/2010 | West Kirby | 72830301 | 1157 | 0 | WO
DEAN | 14/10/2010 | West Kirby | 72830301 | 1212 | 0 | WO
Spreadsheet: 803854d1667746966-calculate-final-price-using-tiered-pricing-more-elegantly-tier
Sheet: Sheet1

0.65 | per unit cost
4 | multiplier applied to first 100 units
cell D5 | starting price
 | added to every increase of 100 units after 500 units
Qty Min | [NAME] | Increase | Unit price |  | Qty | Total |  | Qty | Total usng IFS | Total
0 | 100 | 0 |  |  | 100 |  |  | 100
101 | 200 | 0.5 |  |  | 200 |  |  | 125
201 | 300 | 0.25 |  |  | 300 |  |  | 250
301 | 400 | 0.18 |  |  | 400 |  |  | 375
401 | 500 | 0.13 |  |  | 500 |  |  | 500
501 | and over |  |  |  | 600 |  |  | 750
 |  |  |  |  | 700 |  |  | 1000
 |  |  |  |  | 800 |  |  | 1500
 |  |  |  |  | 900 |  |  | 2000
 |  |  |  |  | 1000
Spreadsheet: 784252d1655548064-formula-to-fetch-data-from-lower-cell-to-upper-cell-book1
Sheet: Sheet1

Parent | Child | 2nd Child | UOM | Quantity | House | Depth | Type
GT12W | 1-GT12W |  | Nos. | 1 | W | 1 | P
GT12W | 1-WGTW | 0-WGTW | Nos. | 1 | W | 2 | P
GT12W | 0-WGTW |  | Kgs. | 0.06 | R | 3 | N
GT12W | 1-MGTW |  | Nos. | 1 | W | 2 | P
GT12W | 0-MGTW |  | Nos. | 1 | R | 3 | N
GT12W | 1-BGTW |  | Nos. | 1 | W | 2 | P
GT12W | 0-BGTW |  | Kgs. | 0.134 | R | 3 | N
GT12W | 7-OGTW |  | Nos. | 1 | R | 2 | N
GT12W | 7-EGTW |  | Nos. | 1 | R | 2 | N
Spreadsheet: 07bc9511-0a96-4617-b16f-e560670f4898
Sheet: Sheet1

The following are the sites discarded because their dates are rejected by most archaeologists as being erroneously too early/date | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9
As mentioned also in the paper, all sites with standardard errors larger than 200 radiocarbon years have also been discarded.
Lat | Long | Site | Country | Period | Type | Lab No | Dat Uncal BP | SE | Material
44.98 | 2.53 | [NAME] | France | Early Neolitic | Settlement | Ly-398 | 7690 | 60 | charcoal
43.16 | 5.38 | L'Ile Riou | France | Early Cardial | Settlement | MC-440 | 7600 | 100 | shell
45.45 | -1.15 | [NAME] | France | Early Neolitic | Coastal site | Ly-6045 | 7360 | 85 | charcoal
45.98 | 0.98 | La Roche aux Fee | France | Roucadourian | Rock shelter | Ly-4704 | 7360 | 80 | charcoal
40.41 | -0.41 | [NAME] | Spain | Early Neolitic | Rock shelter | CSIC-353 | 7640 | 110 | charcoal
Spreadsheet: 026403be-a72f-4159-a844-25e530f73a86
Sheet: Sheet1

1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | H Hispanic | [NAME] | B Black | A Asian | M Multi-racial | I American Indian or Alaskan American | P Pacific Islander or Hawaiin
ID | Bldg Code | Resident District | Last Name | First Name | Middle Name | Suffix | Gender | DOB (mm/dd/yyyy) | Grade Level | Local ID | OPTIONAL SSN  (No Hyphens) | Race/ Ethnicity | State ID | Attending District | Current School Year
Spreadsheet: 1cd07b2b-8bfe-4e62-b843-40efabed7ba1
Sheet: Sheet1

V. Distribution and Processing | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10
1. Fish Markets
(1) Statistics  by Sea Region
(c) Yearly Volume Handled
Nationwide, sea region |  |  |  |  | Volume |  |  | Monetary value
 |  |  |  |  | Landed volume | Delivered volume
 |  |  | Total | Fresh fish |  |  | Imported products | Total | Fresh fish | Imported products
 |  |  | Ton | Ton | Ton | Ton | Ton | 10,000 yen | 10,000 yen | 10,000 yen
Japan |  | １ | 7195997 | 194622 | 4101849 | 3094148 | 385076 | 330665074 | 18767155 | 27161139
Hokkaido Pacific Ocean, North |  | ２ | 838528 | 4573 | 757401 | 81127 | 12102 | 20102700 | 373987 | 1135013
Pacific Ocean, North |  | ３ | 927710 | 6582 | 785957 | 141753 | 5712 | 23655693 | 562855 | 271980
Pacific Ocean, Middle |  | ４ | 1929808 | 60797 | 813657 | 1116151 | 34457 | 110956226 | 6095659 | 4472536
Pacific Ocean, South |  | ５ | 236267 | 6222 | 203552 | 32715 | 1540 | 7999846 | 508601 | 125473
Hokkaido Japan Sea, North |  | ６ | 477381 | 1555 | 471742 | 5639 | 695 | 8511838 | 145616 | 69466
Japan Sea, North |  | ７ | 285747 | 1806 | 104978 | 180769 | 31496 | 14753278 | 224738 | 3105901
Japan Sea, West |  | ８ | 383063 | 4787 | 252528 | 130535 | 28579 | 17040802 | 665646 | 2512476
East China Sea |  | ９ | 922228 | 34948 | 553800 | 368428 | 78491 | 34577245 | 3743697 | 3511804
Seto Inland Sea |  | 10 | 803338 | 67801 | 156125 | 647213 | 139022 | 61627838 | 5869492 | 7029300
Not coastal |  | 11 | 391927 | 5551 | 2109 | 389818 | 52982 | 31439608 | 576864 | 4927190
Spreadsheet: 876190d1722871312-placing-team-to-game-dates-book4
Sheet: Team-Course Schedule

Teams | 2025-05-27 00:00:00 | Week 1 | HCP | Place |  |  | HCP | Place |  |  | HCP | Place |  |  | HCP | Place |  |  | HCP | Place
 | VS |  | HCP |  |  | VS | HCP | Place |  | VS | HCP | Place |  | VS | HCP | Place |  | VS | HCP | Place
Spreadsheet: 3022018b-cb02-4a8e-9274-a7b6569c7ff3
Sheet: Sheet1

(Township, City, Village) | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6
Estimated Schedule of All Revenues
Fund Number | Fund Name | 12/31/2010 Estimated  Unencumbered Fund Balance | 2011 Real Estate Taxes & Rollbacks | 2011 TPP & PU Reimbursements | 2011 Estimated Non-PropertyTax Revenue (Other) | Total
1000 | General |  |  |  |  | 0
 | TOTAL: | 0 |  |  | 0
Spreadsheet: 213380d1360476084-help-need-to-fill-depreciation-table-based-on-dropdown-date-selection-excelexamplewithsoftwaretable
Sheet: Calendar

 | Capital Depreciation - Hardware
 | Month | 2013 | 2014 | 2015 | 2016 |  | Hardware Capital - 36 Month Depreciation | Amount | Date
 | January |  |  |  |  |  | Purchase 1 | 36000 | January 2013 |  |  |  |  |  | Jan | 1
 | February |  |  |  |  |  | Purchase 2 | 36000 | January 2016 |  |  |  |  |  | Feb | 2
 | March |  |  |  |  |  | Purchase 3 |  |  |  |  |  |  |  | Mar | 3
 | April |  |  |  |  |  | Total Hardware Capital Depreciation |  |  |  |  |  |  |  | Apr | 4
 | May |  |  |  |  |  |  |  |  |  |  |  |  |  | May | 5
 | June |  |  |  |  |  | Software Capital - 60 Month Depreciation |  |  |  |  |  |  |  | Jun | 6
 | July |  |  |  |  |  | Purchase 1 | 15000 | June 2015 |  |  |  |  |  | Jul | 7
 | August |  |  |  |  |  | Purchase 2 |  |  |  |  |  |  |  | Aug | 8
 | September |  |  |  |  |  | Purchase 3 |  |  |  |  |  |  |  | Sep | 9
 | October |  |  |  |  |  | Total Software Capital Depreciation |  |  |  |  |  |  |  | Oct | 10
 | November |  |  |  |  |  | Total Capital |  |  |  |  |  |  |  | Nov | 11
 | December |  |  |  |  |  |  |  |  |  |  |  |  |  | Dec | 12
 | Total |  |  |  |  |  | Annual Support Expenses
 | Capital Depreciation - Software
 | Month | 2013 | 2014 | 2015 | 2016
 | January |  |  |  |  |  | [NAME] - No depreciation, one time expense
 | February |  |  |  |  |  | [NAME] 1 | 4000 | September 2014
 | March |  |  |  |  |  | [NAME] 2
 | April |  |  |  |  |  | [NAME] 3
 | May
 | June
 | July
 | August
 | September
 | October
 | November
 | December
 | Total
 | Support Expenses
 | Month | 2013 | 2014 | 2015 | 2016
 | January
 | February
 | March
 | April
 | May
 | June
 | July
 | August
 | September
 | October
 | November
 | December
 | Total
 | [NAME]
 | Month | 2013 | 2014 | 2015 | 2016
 | January
 | February
 | March
 | April
 | May
 | June
 | July
 | August
 | September
 | October
 | November
 | December
 | Total
Spreadsheet: 674886d1588068327-of-days-in-a-pay-period-based-on-qualifying-dates-overlapping-days
Sheet: PP

STATE | Qualifying Start Date | Qualifying End  Date |  | Pay Period 5 Start Date | Pay Period 5 End Date | How many qualifying days in Pay Period 5 for each state?
CA | 2020-03-19 00:00:00 | 2020-04-07 00:00:00 |  | 2020-03-23 00:00:00 | 2020-04-10 00:00:00
CO | 2020-03-23 00:00:00 | 2020-04-01 00:00:00 |  | 2020-03-23 00:00:00 | 2020-04-10 00:00:00
CT | 2020-03-24 00:00:00 | 2020-04-11 00:00:00 |  | 2020-03-23 00:00:00 | 2020-04-10 00:00:00
DC | 2020-04-01 00:00:00 | 2020-04-01 00:00:00 |  | 2020-03-23 00:00:00 | 2020-04-10 00:00:00
IL | 2020-03-22 00:00:00 | 2020-05-30 00:00:00 |  | 2020-03-23 00:00:00 | 2020-04-10 00:00:00
Spreadsheet: 869655d1716267544-sumproduct-issue-with-multiple-criterias-sample_sumprod-issue
Sheet: Main

 |  |  |  | CQ/NQ | CQ/NQ
 | Product line -> |  |  | Risks & Upsides Qtrs | Risks & Upsides Qtrs
CMD |  |  |  | Title
 |  |  |  | $Millions
 |  |  |  |  |  | Bookings | OG% | Revenue | OG% | EBITA | EBITA% | Bookings | OG% | Revenue | OG% | EBITA | EBITA% | Bookings | OG% | Revenue | OG% | EBITA | EBITA% | Bookings | OG% | Revenue | OG% | EBITA | EBITA% | Bookings | OG% | Revenue | OG% | EBITA | EBITA%
 |  |  |  | FY23 | PY Actual
 |  |  |  |  | AOP
 |  |  |  |  | PY Actual
Spreadsheet: 763391d1642152789-populate-cells-based-on-content-clause
Sheet: Clause

Clause | A | B | C |  |  |  | A | B | C
1.1 | Yes | No | Yes
1.2 | No | No | Yes
1.3 | No | Yes | Yes
1.4 | Yes | Yes | No
1.5 | No | Yes | No
1.6 | Yes | No | Yes
1.7 | Yes | No | No
1.8 | Yes | No | Yes
1.9 | Yes | Yes | No
Spreadsheet: dan_hyvl__4862__National Steel
Sheet: AMASTPSA 

MASTER FIRM PURCHASE/SALE AGREEMENT INFORMATION SHEET
ECT Entity: | ENA | ATTORNEY: | [NAME]
DATE: | 2000-10-11 00:00:00 | ECT CONTACT: | [NAME][NAME]
COUNTERPARTY: | National Steel Corporation | CONTACT:
ADDRESS: |  | TITLE:
 |  | PHONE:
 |  | FAX:
INCORPORATION STATE: | IN | S&P RATING: | [NAME]
STRUCTURE | COUNTERPARTY | ENA
COLLATERAL | 0 | 10000000
THRESHOLD  in $
COMMITTED VOLUMES
THRESHOLD in $[NAME] | N/A | N/A
COLLATERAL REQUIRED FOR:
ALL TRADES
OTHER | N/A | N/A
COLLATERAL TYPE
Letter of Credit | OK | OK
COLLATERAL  MULTIPLE | 250000 | 250000
GUARANTOR (RATING) | N/A | Enron Corp (BBB+)
LIMIT in $[NAME] |  | $10MM
Incorporation State: |  | OR
MATERIAL ADVERSE CHANGE TRIGGERS  APPLY TO:
-Counterparty | X
-Guarantor |  | X
Debt Ratings Change | X | X
-Below = | B- | BBB- | S&P
Financial Covenants
-Funded Debt/Net Worth
-Minimum Net worth
-Cash Flow/CMLTD
-Current Ratio
Non-Specific
-Unilateral
Ownership Change
-Less than 51% owned by:
Non-Standard Definitions
-Funded Debt
-Net Worth
-Cash Flow
EVENTS OF DEFAULT
3rd party debt
-Counterparty | $10MM | $100MM
-Guarantor ($[NAME])
FIN'L STATEMENTS
-Standard | X | X | Upon request
CREDIT DECISION: | APPROVED:  X | DECLINED:
OUTSTANDING PHYSICAL TRADES: |  | YES:      X | NO:
ALL TRADES TO ROLL UP UNDER NEW MASTER: |  | YES:      X | NO:
OTHER COMMENTS
***ALL Previous transactions should be included under this contract.
This includes Transaction TAGG E79260.1
***See Below for required definition of "Exposure Amount"
**II. Calculations. [a) The “ Exposure Amount” for each party shall be
calculated for the total of all outstanding Transactions, by calculating
each party’ s Exposure to the other party in respect of each Transaction
and totaling the Exposures for each such party, pfovided: that in the
case of ECT, its Exposure Amount shall be the sum of the amount
calculated in the preceding clause plus $500,000. The party having the
greater Exposure Amount at any time shall be deemed to have a ‘Net
Exposure” to the other party equal to the difference between its
Exposure Amount and the other party’ s Exposure Amount.
CREDIT REVIEW  PREPARED BY: |  | [NAME] | x5-7095
Spreadsheet: 0d064e18-1976-44b9-a66c-aab26202002d
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3
 |  |  | INSTRUCTIONS
1 | Monthly vaccine usage and inventory reports are required of all providers.
2 | Reports are due on or before the 15th of each month.
3 | Please complete all three worksheets in this order:
 | (1) Monthly [NAME], (2) Monthly Doses Administered, (3) Monthly Vaccine Accountability
 | Incomplete forms will be returned to you for correction.
4 | Send the saved file to the King County VFC Program via email at [EMAIL].
 | Put your clinic's name and PIN # (181 __ __ __) in the subject line.
5 | Temperature logs may be scanned and emailed to [EMAIL] or faxed to (206) 205-5780.
 | If you have additional questions or need assistance, please contact the King County
 | VFC Program at (206) 296-4774 or email [EMAIL].
Spreadsheet: 140448d1328750567-formulas-amanda
Sheet: Sheet2

unit number | branch | 2012-02-01 00:00:00 |  | 2012-02-02 00:00:00 |  | 2012-02-03 00:00:00 |  | 2012-02-04 00:00:00 |  |  |  |  | will be found on page 2
 |  | hours | mileage | hours | mileage | hours | mileage | hours | mileage | Weekly hrs | weekly kms |  | Flagged Date | Inspection Completion Date
1 | Cob | 100 | 95 | 80 | 120 | 140 | 120 | 33 | 120 | 353 | 455 |  |  | 2012-02-05 00:00:00
2 | [NAME] | 243 | 152 | 349 | 256 | 150 | 86 | 35 | 86 | 777 | 580 |  | 2012-02-01 00:00:00
3 | Job | 56 | 123 | 35 | 123 | 35 | 123 | 35 | 123 | 161 | 492
4 | God | 69 | 145 | 30 | 145 | 30 | 145 | 30 | 145 | 159 | 580
5 | GOT | 82 | 132 | 200 | 222 | 43 | 132 | 43 | 132 | 368 | 618
6 | Bopt | 95 | 143 | 54 | 143 | 54 | 143 | 54 | 143 | 257 | 572
7 | GDT | 108 | 165 | 20 | 165 | 20 | 165 | 20 | 165 | 168 | 660
 |  |  |  |  |  |  |  |  | total | 2243 | 3957
 |  |  | All based on [NAME] mileage is not needed for this
 |  |  | number hit 350-399
 |  |  | Number hit 400
unit number | branch | 2012-02-05 00:00:00 |  | 2012-02-06 00:00:00 |  | 2012-02-07 00:00:00 |  | 2012-02-08 00:00:00
 |  | hours | mileage | hours | mileage | hours | mileage | hours | mileage | Weekly hrs | weekly kms |  |  | Inspection Completion Date
1 | Cob | 11 | 95 | 2 | 120 | 5 | 120 | 9 | 120 | 380 | 455
2 | [NAME] | 243 | 152 | 349 | 256 | 150 | 86 | 35 | 86 | 1554 | 580
3 | Job | 56 | 123 | 35 | 123 | 35 | 123 | 35 | 123 | 322 | 492
4 | God | 69 | 145 | 30 | 145 | 30 | 145 | 30 | 145 | 318 | 580
5 | GOT | 82 | 132 | 200 | 222 | 43 | 132 | 43 | 132 | 736 | 618 |  | 2012-02-05 00:00:00
6 | Bopt | 95 | 143 | 54 | 143 | 54 | 143 | 54 | 143 | 514 | 572
7 | GDT | 108 | 165 | 20 | 165 | 20 | 165 | 20 | 165 | 336 | 660
 |  |  |  |  |  |  |  |  | total | 4160 | 3957
Spreadsheet: 157775d1337870323-need-to-pull-800-rows-of-data-from-a-spread-sheet-at-one-time-advanced-filters-for-serial-numbers
Sheet: Sheet1

Serial No | Date | [NAME] |  | Serial No | Date | [NAME] |  | Serial No | Date | [NAME] | <<< Output to a blank cell in I1 will only show matches.
123456 | 2012-05-20 00:00:00 | [NAME] |  | 123467 |  |  |  | 123458 | 2012-05-16 00:00:00 | [NAME]
123457 | 2012-05-18 00:00:00 | [NAME] |  | 123477 |  |  |  | 123467 | 2012-05-18 00:00:00 | Info 12
123458 | 2012-05-22 00:00:00 | [NAME] |  | 123489 |  |  |  | 123477 | 2012-05-17 00:00:00 | Info 22
123459 | 2012-05-22 00:00:00 | [NAME] |  | 123458 |  |  |  | 123489 | 2012-05-21 00:00:00 | [NAME] 34
123460 | 2012-05-21 00:00:00 | Info 5
123461 | 2012-05-16 00:00:00 | Info 6 |  | ^^^^ [NAME] with 8000
123462 | 2012-05-21 00:00:00 | [NAME] |  | Serial numbers in the list
123463 | 2012-05-23 00:00:00 | [NAME] 8
123464 | 2012-05-20 00:00:00 | [NAME] 9
123465 | 2012-05-17 00:00:00 | [NAME] 10
123466 | 2012-05-17 00:00:00 | Info 11 |  |  |  |  | You need to use Advanced Filters with a criteria range of your 800 serial numbers.
123467 | 2012-05-23 00:00:00 | Info 12
123468 | 2012-05-16 00:00:00 | Info 13 | <<< Your 6000 records like this
123469 | 2012-05-17 00:00:00 | Info 14
123470 | 2012-05-16 00:00:00 | Info 15
123471 | 2012-05-15 00:00:00 | [NAME] 16
123472 | 2012-05-23 00:00:00 | Info 17
123473 | 2012-05-15 00:00:00 | Info 18
123474 | 2012-05-15 00:00:00 | Info 19
123475 | 2012-05-21 00:00:00 | Info 20
123476 | 2012-05-16 00:00:00 | Info 21
123477 | 2012-05-15 00:00:00 | Info 22
123478 | 2012-05-15 00:00:00 | Info 23
123479 | 2012-05-20 00:00:00 | Info 24
123480 | 2012-05-18 00:00:00 | Info 25
123481 | 2012-05-15 00:00:00 | [NAME] 26
123482 | 2012-05-16 00:00:00 | Info 27
123483 | 2012-05-16 00:00:00 | Info 28
123484 | 2012-05-21 00:00:00 | Info 29
123485 | 2012-05-16 00:00:00 | [NAME] 30
123486 | 2012-05-18 00:00:00 | Info 31
123487 | 2012-05-15 00:00:00 | [NAME] 32
123488 | 2012-05-23 00:00:00 | Info 33
123489 | 2012-05-23 00:00:00 | [NAME] 34
123490 | 2012-05-15 00:00:00 | [NAME] 35
123491 | 2012-05-21 00:00:00 | Info 36
123492 | 2012-05-18 00:00:00 | [NAME] 37
123493 | 2012-05-19 00:00:00 | Info 38
123494 | 2012-05-15 00:00:00 | [NAME] 39
Spreadsheet: 785134d1656181429-consolidate-sheets-into-one-master-book1
Sheet: Consolidated

 |  | Sheet 1 and sheet 2 consolidated into this tab like this:
 |  | Also to put into age descending order automatically if possible |  |  |  | First Name | Sir [NAME] | Age | Start Date | Finish Date
 |  |  |  |  |  | [NAME] | Smith | 66 | 1999-01-01 00:00:00 | 2020-06-07 00:00:00
 |  |  |  |  |  | [NAME] | Wayne | 68 | 2010-11-07 00:00:00 | 2021-08-01 00:00:00
 |  |  |  |  |  | Elvis | Presley | 71 | 1998-05-04 00:00:00 | 2005-11-15 00:00:00
 |  |  |  |  |  | [NAME] | [NAME] | 64 | 2001-03-15 00:00:00 | 2006-03-03 00:00:00
 |  |  |  |  |  | [NAME] | Smith | 66 | 1999-01-01 00:00:00 | 2020-06-07 00:00:00
 |  |  |  |  |  | [NAME] | Wayne | 68 | 2010-11-07 00:00:00 | 2021-08-01 00:00:00
 |  |  |  |  |  | Elvis | Presley | 71 | 1998-05-04 00:00:00 | 2005-11-15 00:00:00
 |  |  |  |  |  | [NAME] | [NAME] | 64 | 2001-03-15 00:00:00 | 2006-03-03 00:00:00
Spreadsheet: 110160d1306920958-look-up-and-find-data-copy-of-sample-data
Sheet: Sheet1

Name | Status |  |  |  |  |  | Completed | WIP | Rejected
[NAME] | Completed |  |  |  |  | [NAME] | 2 | 0 | 4
[NAME] | WIP |  |  |  |  | [NAME] | 1 | 0 | 0
George | Rejected |  |  |  |  | George | 1 | 0 | 1
[NAME] | WIP
George | WIP
[NAME] | Rejected
[NAME] | Completed
[NAME] | Rejected
[NAME] | Rejected
George | Completed
[NAME] | Completed
[NAME] | Rejected
Spreadsheet: 033d4855-ec7b-4602-8b8c-aaab9c75b6fc
Sheet: 8

 | Jan 11 |  | Jan 18 |  | Jan 25 |  | Feb 1
 | Long | Short | Long | Short | Long | Short | Long | Short
Total Interest Rate* | N/A*** | N/A | N/A | N/A | N/A | N/A | N/A | N/A
SD/MSPs** | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Financials | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
End Users | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Total Cross-Currency | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
SD/MSPs | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Financials | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
End Users | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Total Credit | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
SD/MSPs | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Financials | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
End Users | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Total Equity | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
SD/MSPs | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Financials | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
End Users | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Total Other Commodity | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
SD/MSPs | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Financials | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
End Users | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A
Weekly total, estimated swap dollar volumes by asset class and participant type (value of all trades in milliions of USD), all products and tenors, cleared and uncleared.
Estimates of weekly event volumes are derived from data published in the 2012 ISDA Operations Benchmarking Survey which defines an "event" as a new trade, confirmable amendment, partial or full termination, increase, decrease, or novation.
*See Data Dictionary for asset class descriptions.
**See Explanatory Notes for participant type descriptions.
***N/A indicates that data are not currently available.
The Commission requests feedback on the format and content of this CFTC Swaps Report table. Submit comments to [EMAIL].
Spreadsheet: vkaminski__40791__LNG Shipping Economics Model
Sheet: Nautical Distances

Nautical Distances from LNG Facilities to Regas Ports
LNG Aries
 | To
From | Huelva (Sp.) | [NAME] (Sp.) | Barcelona (Sp.) | Montoir (Fr.) | For Sur Mer (Fr.) | Marmarice (Tur.) | Zeebrugge (Bel.) | [NAME] (Grc.) | Panigaglia (It.)
Oman (Muscat) | 4621 | 4288 | 4180 | 5460 | 4048 | 2983 | 5800 | 3073 | 3889
Abu Dhabi (Das Island) | 5031 | 4698 | 4590 | 5870 | 4458 | 3393 | 6210 | 3483 | 4299
Qatar (Doha) | 5098 | 4765 | 4657 | 5937 | 4525 | 3460 | 6277 | 3550 | 4366
Nigeria (Bonny Island) | 3331 | 3546 | 3824 | 3980 | 4067 | 4960 | 4320 | 4826 | 4960
Algeria (Arzew) | 373 | 113 | 343 | 1212 | 579 | 1417 | 1552 | 1283 | 1419
Algeria (Skikda) | 718 | 387 | 349 | 1557 | 405 | 1062 | 1897 | 928 | 1070
Angola (Luanda) | 3922 | 4132 | 4410 | 4571 | 4653 | 5546 | 4911 | 5412 | 5546
Trinidad (Trinidad) | 3366 | 3648 | 3926 | 3714 | 4169 | 5062 | 3985 | 4928 | 5062
Venezuela (Jose)1 | 3450 | 3732 | 4010 | 3798 | 4253 | 5146 | 4069 | 5012 | 5146
* St. Nazaire used as proxy for Montoir in France
** Antibes used as proxy for For Sur Mer in France
*** Amorgos used as proxy for Revithousa in Greece
**** Monfalcone used as proxy for Panigaglia in Italy
1  [NAME] used as a proxy for [NAME]; [NAME] is inland, but approx. equidistant