tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 821130d1678461703-convert-month-name-into-numeric-value-raulserg
Sheet: Sheet1

 |  | month value
 | January |  |  | Januar |  |  |  |  | Januar | 1
 | February |  |  | Februar |  |  |  |  | Februar | 2
 | March |  |  | März |  |  |  |  | März | 3
 | April |  |  | April |  |  |  |  | April | 4
 | May |  |  | Mai |  |  |  |  | Mai | 5
 | June |  |  | Juni |  |  |  |  | Juni | 6
 | July |  |  | [NAME] |  |  |  |  | [NAME] | 7
 | August |  |  | August |  |  |  |  | August | 8
 | September |  |  | September |  |  |  |  | September | 9
 | October |  |  | Oktober |  |  |  |  | Oktober | 10
 | November |  |  | November |  |  |  |  | November | 11
 | December |  |  | [NAME] |  |  |  |  | [NAME] | 12
Spreadsheet: 860474d1708549703-i-need-help-for-the-formula-time-sheet
Sheet: TIME SHEET

 |  |  |  | START DATE | END DATE | PAY DATE |  |  | EMPLOYEE NAME
 |  |  |  | 2024-02-05 00:00:00
Testing
 | MON | TUE | WED | THU | FRI | SAT | SUN | MON | TUE | WED | THU | FRI | SAT | SUN
 | 2024-02-05 00:00:00
TIME ON | 10:00:00 | 10:00:00 | 09:00:00
TIME OFF | 14:00:00 | 18:00:00 | 18:00:00
TIME ON | 14:00:00
TIME OFF | 18:00:00
OT ON | 18:00:00
OT OFF | 22:00:00
DBL ON | 22:00:00
DBL OFF | 23:30:00
HOL ON |  | 10:00:00
HOL OFF |  | 18:00:00
PTO ON |  |  |  | 10:00:00
PTO OFF |  |  |  | 18:00:00
REG TIME |  | OT TIME |  | DBL TIME |  | HOL TIME |  | PTO |  | TOTAL HOURS |  | NOTES
Spreadsheet: 140513d1328793956-linked-drop-down-lists-and-vlookup-copy-of-testdata1
Sheet: View Sheet

Month | TL
Jan | George
 |  |  |  |  |  |  |  |  |  |  |  | WHAT I AM TRYING TO DO:
CALLS | ACW | HOLD | CHT | SAM | SAM RANK | CTT | ACW % | HOLD % | CHT % | CTT % |  | From the drop down list when
 |  |  |  |  |  |  |  |  |  |  |  | Jan is selected and [NAME] is
 |  |  |  |  |  |  |  |  |  |  |  | selected. His stats from Sheet
 |  |  |  |  |  |  |  |  |  |  |  | 2 should populate into the
 |  |  |  |  |  |  |  |  |  |  |  | corresponding cells.
 |  |  |  |  |  |  |  |  |  |  |  | This should be done for all
 |  |  |  |  |  |  |  |  |  |  |  | team leaders that is in sheet 3
Spreadsheet: 116920d1312305760-selective-columns-farthingstone
Sheet: G

Giboin. [NAME] |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | HANDICAPPING
hole | par | stroke index | adjusted par | pts calc | [NAME] | strokes | points | PAR 3 | INDEX 1 | INDEX 2 | INDEX 3 | adjusted par | pts calc | [NAME] | points | handicap | handicap | handicap | catergory | Buffer Zone | css | Nett Differential | adjustment
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Nett | Nett
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | points | points
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 18 | 36
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | par 3
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | sss | css adj | "RO"
in
out
total
Spreadsheet: 143701d1330529723-need-help-iif-formula-exceeded-nesting-limit-and-i-think-too-many-criteria-for-vlookup-excelforumhelp
Sheet: Report Criteria

Invoice Date | CoCd | Doc.no. | PGR | [NAME] | Vendor Number | PO Creator | On last report | Report
 |  |  | 222 |  |  |  |  | Client A
 |  |  | 233 |  |  | GQUINN |  | Client B
 |  |  | 248 |  |  |  |  | Client C
 |  |  | 229 and 254 |  |  |  |  | Client D
 |  |  | 230 |  |  |  |  | Client E
 |  |  | 200 |  |  | DBAILE27 |  | Client F
 |  |  | 253 |  |  |  |  | Client G
 |  |  | 234 |  |  |  | YES | Client H
 |  |  | 258 |  |  |  |  | Client I
 |  |  | 217 and 263 |  |  |  |  | Client J
 |  |  |  | Gxxx |  |  |  | Client K
 |  |  |  | [NAME] |  |  |  | Client L
 |  |  |  | Sxxx |  |  |  | Client M
 |  |  |  | Ixxx |  |  |  | Client N
 |  |  |  | Fxxx |  |  |  | Client O
 |  |  | 233 |  | 111088 |  |  | Client P
 |  |  |  |  | 118195 |  |  | Client Q
 |  |  |  |  | 120873 |  |  | Client R
 |  |  | 205 |  |  | GQUINN |  | Client S
Spreadsheet: 758019d1638572172-returning-value-from-a-table-book1
Sheet: Sheet1

Teams | Years | B10 | B11 | B12 | B13 | B14 | B15 | B16 | B17 | B18 | G12 | G13 | G14 | [NAME] | [NAME] | G18 |  |  |  |  | Desired result
ASHBURTON | 2000 |  |  |  |  |  | 1 |  |  |  |  |  |  |  |  |  |  | ASHBURTON | B15 | 2001 | 2
ASHBURTON | 2001 |  |  |  |  |  | 2 | 1 |  |  |  |  |  |  |  |  |  | ASHBURTON 2 | B14 | 2004 | 42
ASHBURTON | 2003 |  |  |  |  | 3 |  |  |  |  |  |  |  |  |  |  |  | ASHWOOD | B18 | 1989 | 2
ASHBURTON | 2004 |  |  |  |  | 41 |  |  |  |  |  |  |  |  |  |  |  | BALWYN | B17 | 1986 | 1
ASHBURTON | 2005 |  |  |  |  | 5 |  |  |  |  |  |  |  |  |  |  |  | BEACONSFIELD | B12 | 2003 | 111
ASHBURTON 2 | 2004 |  |  |  |  | 42
ASHWOOD | 1988 |  |  |  |  |  |  |  |  | 1
ASHWOOD | 1989 |  |  |  |  |  |  |  |  | 2
BALWYN | 1986 |  |  |  |  |  |  |  | 1
BEACONSFIELD | 1993 |  | 1
BEACONSFIELD | 1994 |  | 2
BEACONSFIELD | 1995 | 3 | 4 | 2 |  | 5
BEACONSFIELD | 1996 | 6 | 3 | 4 | 2
BEACONSFIELD | 1997 | 7 | 6 | 3 | 4 | 2
BEACONSFIELD | 1998 | 8 | 7 | 6 | 3
BEACONSFIELD | 1999 | 91 | 8 | 7 | 6
BEACONSFIELD | 2000 | 101 | 91 | 8 | 7 | 6
BEACONSFIELD | 2001 | 111 | 101 | 91 | 8 | 7
BEACONSFIELD | 2002 | 121 | 111 | 101 | 91 | 8 | 7 | 6
BEACONSFIELD | 2003 | 131 | 121 | 111 | 101 | 91 | 8 | 7
BEACONSFIELD | 2004 | 141 | 131 | 121 | 111 | 101 | 91
Spreadsheet: cebab0af-e411-4690-a6bb-2b40f3b98a6c
Sheet: Sheet1

Professional Contract Management, Inc. | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11 | Unnamed: 12 | Unnamed: 13 | Unnamed: 14 | Unnamed: 15
Hourly Time Sheet
Employee Name
 | Site
 | Payrate/Position
 |  |  | SPARKS |  |  | SPARKS |  |  | ENHANCEMENT |  |  | LATCH KEY
Day | Date |  | Time |  |  | Time |  |  | Time |  |  | Time
 |  |  | In | Out |  | In | Out |  | In | Out |  | In | Out |  | TOTAL HOURS
 | (mm/dd) |  | Hours |  |  | Hours |  |  | Hours |  |  | Hours |  |  | PER DAY
Mon | 2009-07-06 00:00:00
 |  |  | 00:00:00 |  |  | 00:00:00 |  | + | 00:00:00 |  | + | 00:00:00 |  | = | 00:00:00
[NAME] | 2009-07-07 00:00:00
 |  |  | 00:00:00 |  |  | 00:00:00 |  |  | 00:00:00 |  |  | 00:00:00 |  |  | 00:00:00
Wed | 2009-07-08 00:00:00
 |  |  | 00:00:00 |  |  | 00:00:00 |  |  | 00:00:00 |  |  | 00:00:00 |  |  | 00:00:00
Thur | 2009-07-09 00:00:00
 |  |  | 00:00:00 |  |  | 00:00:00 |  |  | 00:00:00 |  |  | 00:00:00 |  |  | 00:00:00
Fri | 2009-07-10 00:00:00
 |  |  | 00:00:00 |  |  | 00:00:00 |  |  | 00:00:00 |  |  | 00:00:00 |  |  | 00:00:00
Mon | 2009-07-13 00:00:00
 |  |  | 00:00:00 |  |  | 00:00:00 |  |  | 00:00:00 |  |  | 00:00:00 |  |  | 00:00:00
[NAME] | 2009-07-14 00:00:00
 |  |  | 00:00:00 |  |  | 00:00:00 |  |  | 00:00:00 |  |  | 00:00:00 |  |  | 00:00:00
Wed | 2009-07-15 00:00:00
 |  |  | 00:00:00 |  |  | 00:00:00 |  |  | 00:00:00 |  |  | 00:00:00 |  |  | 00:00:00
Thur | 2009-07-16 00:00:00
 |  |  | 00:00:00 |  |  | 00:00:00 |  |  | 00:00:00 |  |  | 00:00:00 |  |  | 00:00:00
Fri | 2009-07-17 00:00:00
 |  |  | 00:00:00 |  |  | 00:00:00 |  |  | 00:00:00 |  |  | 00:00:00 |  |  | 00:00:00
TOTAL HOURS |  |  | 00:00:00 |  | + | 00:00:00 |  | + | 00:00:00 |  | + | 00:00:00 |  | = | 00:00:00
Employee Signature
Director [NAME]
SC Initials
Spreadsheet: sally_beck__35759__MgmtSum-Q1-0331-PRELIM-C
Sheet: Summary YTD

PLAN2000 | ACTUAL |  |  |  |  |  |  | [NAME] |  |  |  |  | CAP_CHRG | TOT_OPS_EXPENSES | TOT_ALLOCATION |  |  |  |  |  |  |  |  |  | [NAME] | TOT_OPS_EXPENSES | CAP_CHRG | TOT_ALLOCATION
2000-03-01 00:00:00 | 2000-03-01 00:00:00
M.QTD | M.YTD | ENRON NORTH AMERICA
ENA |  | 4TH QUARTER 1999 EARNINGS ESTIMATE
 |  | [NAME] through Q4
 |  |  |  | Earnings Before Tax |  |  |  | Components of Earnings Before Tax |  |  |  |  |  |  |  |  |  | Variances from Plan
 |  |  |  |  |  |  |  | Actual | Deals | Forecast | Total | Operating | Capital | Direct | Allocated |  |  | Total | Operating | Capital | Direct | Allocated
 |  | Business Team |  | Estimate | Plan | [NAME] |  | Margin | Identified | Margin | Margin | Expenses | Charge | Expenses | Expenses | Total |  | Margin | Expenses | Charge | Expenses | Expenses | Total
[NAME] |  | Gas Trading
[NAME] |  | Power Trading
IR_FX |  | Interest Rate & Currency Trading
[NAME] |  | Equity Trading
CANADA |  | Canada
COAL |  | Coal
WEATHER |  | Weather
SO2 |  | Emissions
INSURANCE |  | Insurance Group |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 | 0 | 0
EXEC_TRD |  | Executive Trading
 |  | Total Trading & Risk Management
E_ORG |  | East Midstream
W_ORIG |  | West Midstream
PAPER |  | Industrial Downstream - Paper
DWNSTRM_IND_ORIG |  | Industrial Downstream - Chemicals
MDSTRM_IPP_ORIG |  | Midstream IPP
MEXICO |  | Mexico
EXEC_ORIG |  | Executive Origination
 |  | Total Origination
GENCOS |  | Genco
N_BS_DEV |  | Generation Investments
ASST_ORIG |  | Gas Assets
ASST_TRD |  | Gas Assets - Trading
 |  | Total Assets
EQUITY |  | Principal Investing
PROD_FIN |  | Upstream E&P
ENVR_ENGY |  | Asset Management
RESTRUCTURING |  | Restructuring
 |  | Canada - Investing
 |  | Total Investing
CTG |  | Commercial Transactions Group
OF_CHAIR |  | Office of the Chairman |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0
 |  | Total Commercial
GROUP |  | Group
TREASURY_INT |  | Other Interest Related Charges
TREASURY_INT |  | Capital Charge Offset |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 | 0 |  | 0
OF_CHAIR |  | Overview |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 138187
 |  | ENA EBIT
 |  | Interest Income/(Expense) |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 24200
 |  | [NAME]
Spreadsheet: 729581d1619181874-comparing-time-values-comparing-times-sample2
Sheet: DCMaster

;;StartList
1 | 1 | xxxxxxxxxxxx | Round | Day | Time |  |  |  |  |  |  | X | time | X | X
R | xxxxxxxxxxxxx | xxxxxxxxxxxx | xxxxxxxxxxxxx | xxxxxxx | xxxx |  |  |  |  |  |  | X | time | X | X
N |  |  |  |  |  |  |  |  |  |  |  | X | time | X | X
 |  |  |  |  |  |  |  |  |  |  |  | X |  | X | X
X | xxxxxxxxxxxxx | xxxxxxxxxxxx | xxxxxxxxxxxxx | xxxxxxx | xxxx | [NAME] | XX | 9.85 |  | 11.71 |  | X | time | X | X
X | xxxxxxxxxxxxx | xxxxxxxxxxxx | xxxxxxxxxxxxx | xxxxxxx | xxxx | [NAME] | XX | 11.63 |  | 11.41 |  | X | time | X | X
X | xxxxxxxxxxxxx | xxxxxxxxxxxx | xxxxxxxxxxxxx | xxxxxxx | xxxx | [NAME] | XX | 11.55 |  | 11.55 |  | X | time | X | X
X | xxxxxxxxxxxxx | xxxxxxxxxxxx | xxxxxxxxxxxxx | xxxxxxx | xxxx | [NAME] | XX | 1:01.10 |  | 55.40 |  | X | time | X | X
;;StartList |  |  |  |  |  |  |  |  |  |  |  | X |  | X | X
16 | 1 | xxxxxxxxxxxx | Final | Saturday | 3:45 PM |  |  |  |  |  |  | X | measure | X | X
R | Facility: | [NAME]Unattached | 13.43m (44-¾) | 2003 |  |  |  |  |  |  |  | X | measure | X | X
N |  |  |  |  |  |  |  |  |  |  |  | X | measure | X | X
 |  |  |  |  |  |  |  |  |  |  |  | X |  | X | X
X | xxxxxxxxxxxxx | xxxxxxxxxxxx | xxxxxxxxxxxxx | xxxxxxx | xxxx | [NAME] | XX | 11.15m | 36-7 | 11.26m | 36-11½ | X | measure | X | X
X | xxxxxxxxxxxxx | xxxxxxxxxxxx | xxxxxxxxxxxxx | xxxxxxx | xxxx | [NAME] | XX | 9.64m | 31-7½ | 9.64m | 31-7½ | X | measure | X | X
X | xxxxxxxxxxxxx | xxxxxxxxxxxx | xxxxxxxxxxxxx | xxxxxxx | xxxx | [NAME] | XX | 12.47m | 40-11 | 11.97m | 39-3¼ | X | measure | X | X
X | xxxxxxxxxxxxx | xxxxxxxxxxxx | xxxxxxxxxxxxx | xxxxxxx | xxxx | [NAME] | XX | 9.95 |  | 10.69 |  | X | time | X | X
X | xxxxxxxxxxxxx | xxxxxxxxxxxx | xxxxxxxxxxxxx | xxxxxxx | xxxx | [NAME] | XX | 10.73 |  | 10.68 |  | X | time | X | X
X | xxxxxxxxxxxxx | xxxxxxxxxxxx | xxxxxxxxxxxxx | xxxxxxx | xxxx | [NAME] | XX | - |  | 8:47.08 |  | X | time | X | X
X | xxxxxxxxxxxxx | xxxxxxxxxxxx | xxxxxxxxxxxxx | xxxxxxx | xxxx | [NAME] | XX | 10:11.24 |  | 9:15.95 |  | X | time | X | X
Spreadsheet: 884206d1733286347-if-formula-with-index-and-match-that-doesnt-work-copy-of-follow-up-test
Sheet: test

No. | Region | Country | Mode
 |  | Romania | ASE
 |  | Spain | AE
 |  | UK | AI
 |  | UAE | AE
 |  | USA | SE
 |  | Australia | AI
 |  | France | SI
 |  | China | SE
 |  | Chile | SE
 |  | Vietnam | SI
Spreadsheet: 147190d1332579223-creating-a-test-scambling-the-words-randsentence
Sheet: Sayfa2

like | tennis | ı | don't | playing
ride | can | we | not | bicycles
cats | garden | there | in | the | are | five
a | drink | ? | milk | baby | does
many | ? | got | books | have | how | they
playing | my | like | sister | football | doesn't
the | car | is | behind | the | hospital | blue
? | any | [NAME] | pencils | got | Has | red
has | and | colorful | wings | a | parrot | beak | a | got
Kemal | blue | got | has | eyes | hair | [NAME] | and | yellow
Spreadsheet: 07f31f69-e29d-4cb3-8651-65900868ad67
Sheet: Sheet1

Median Household Income in the Past 12 Months | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4
US Census Bureau Table: B19013
Data Set: 2007-2011 American Community Survey 5-yr
FIPS | Geographic Area | Estimate | Margin of Error (+/-) | Rank
000 | Colorado | 57685 | 312
035 | Adams County | 56089 | 859 | 25
039 | Alamosa County | 38299 | 3435 | 53
053 | Arapahoe County | 59937 | 753 | 19
014 | Archuleta County | 60170 | 8231 | 18
037 | Baca County | 37111 | 2469 | 55
097 | Bent County | 35667 | 2638 | 58
117 | Boulder County | 66479 | 1239 | 10
059 | Broomfield County | 76531 | 3569 | 4
113 | Chaffee County | 43684 | 3047 | 40
013 | Cheyenne County | 47188 | 7453 | 34
049 | Clear Creek County | 62756 | 5148 | 15
107 | Conejos County | 34435 | 3690 | 60
045 | Costilla County | 25949 | 4498 | 64
103 | Crowley County | 40636 | 4316 | 49
019 | Custer County | 43358 | 6552 | 42
091 | Delta County | 41856 | 1295 | 46
093 | Denver County | 47499 | 771 | 32
007 | Dolores County | 44077 | 9404 | 38
005 | Douglas County | 101193 | 1620 | 1
047 | Eagle County | 70914 | 3975 | 5
119 | El Paso County | 57079 | 666 | 23
069 | Elbert County | 79367 | 3751 | 2
041 | Fremont County | 38979 | 1697 | 52
067 | Garfield County | 63929 | 4724 | 13
001 | Gilpin County | 59394 | 7862 | 20
123 | Grand County | 64281 | 4315 | 11
079 | Gunnison County | 50073 | 5873 | 30
077 | Hinsdale County | 77321 | 14670 | 3
081 | Huerfano County | 29737 | 3125 | 63
051 | Jackson County | 48571 | 10106 | 31
057 | Jefferson County | 67827 | 711 | 8
031 | Kiowa County | 41542 | 6558 | 47
085 | [NAME] | 43194 | 3464 | 43
017 | La Plata County | 56910 | 2745 | 24
083 | Lake County | 40543 | 3641 | 51
125 | Larimer County | 57215 | 1152 | 22
095 | Las Animas County | 40617 | 3337 | 50
033 | Lincoln County | 43375 | 5670 | 41
121 | Logan County | 42324 | 2415 | 45
015 | Mesa County | 52986 | 1589 | 28
073 | Mineral County | 54375 | 7634 | 27
027 | Moffat County | 50758 | 3839 | 29
063 | Montezuma County | 45623 | 2439 | 35
087 | Montrose County | 47479 | 2143 | 33
075 | Morgan County | 42792 | 2115 | 44
029 | Otero County | 31246 | 2114 | 62
061 | Ouray County | 61935 | 7304 | 16
101 | Park County | 61284 | 5279 | 17
025 | Phillips County | 44717 | 3625 | 37
071 | Pitkin County | 68242 | 9442 | 6
065 | Prowers County | 34513 | 3062 | 59
043 | Pueblo County | 41273 | 1202 | 48
003 | Rio Blanco County | 63125 | 12441 | 14
105 | Rio Grande County | 37885 | 2761 | 54
009 | Routt County | 64230 | 3616 | 12
115 | Saguache County | 33672 | 3475 | 61
111 | San Juan County | 36378 | 6509 | 57
011 | San Miguel County | 66789 | 7322 | 9
099 | Sedgwick County | 36797 | 3525 | 56
021 | Summit County | 67915 | 4024 | 7
109 | Teller County | 57931 | 4035 | 21
089 | Washington County | 43945 | 2351 | 39
055 | Weld County | 55825 | 1021 | 26
023 | Yuma County | 44991 | 2081 | 36
Spreadsheet: 796845d1663592454-formula-for-finding-out-b2b-in-sports-schedule-schedexample-hd
Sheet: Sheet1

07.10. 20:00 |  | Nashville Predators | San Jose Sharks
08.10. 20:00 |  | San Jose Sharks | Nashville Predators
12.10. 01:30 |  | New York Rangers | Tampa Bay Lightning
12.10. 04:00 |  | Los Angeles Kings | [NAME] Knights
13.10. 01:00 |  | Carolina Hurricanes | Columbus Blue Jackets
13.10. 01:00 |  | Montreal Canadiens | Toronto Maple Leafs
13.10. 01:00 |  | Washington Capitals | [NAME]
13.10. 03:30 |  | Colorado Avalanche | Chicago Blackhawks
13.10. 04:00 |  | Anaheim Ducks | [NAME]
13.10. 04:00 |  | Edmonton Oilers | [NAME]
14.10. 01:00 |  | Buffalo Sabres | Ottawa Senators
14.10. 01:00 |  | Philadelphia Flyers | New Jersey Devils
14.10. 01:00 |  | Pittsburgh Penguins | Arizona Coyotes
14.10. 01:30 |  | New York Islanders | Florida Panthers
14.10. 01:30 |  | Toronto Maple Leafs | Washington Capitals
14.10. 02:00 |  | Minnesota Wild | New York Rangers
14.10. 02:00 |  | Nashville Predators | Dallas Stars
14.10. 03:30 |  | Calgary Flames | Colorado Avalanche
14.10. 04:00 |  | [NAME] Knights | Chicago Blackhawks
14.10. 04:30 |  | Los Angeles Kings | [NAME]
15.10. 01:00 |  | Columbus Blue Jackets | Tampa Bay Lightning
15.10. 01:30 |  | Detroit Red Wings | Montreal Canadiens
15.10. 02:00 |  | Winnipeg Jets | New York Rangers
15.10. 04:30 |  | San Jose Sharks | Carolina Hurricanes
15.10. 19:00 |  | Buffalo Sabres | Florida Panthers
15.10. 22:00 |  | Philadelphia Flyers | [NAME]
16.10. 01:00 |  | [NAME] | Arizona Coyotes
16.10. 01:00 |  | New Jersey Devils | Detroit Red Wings
16.10. 01:00 |  | Pittsburgh Penguins | Tampa Bay Lightning
16.10. 01:00 |  | Toronto Maple Leafs | Ottawa Senators
16.10. 01:00 |  | Washington Capitals | Montreal Canadiens
16.10. 01:30 |  | New York Islanders | Anaheim Ducks
16.10. 02:00 |  | Dallas Stars | Nashville Predators
16.10. 02:00 |  | Minnesota Wild | Los Angeles Kings
16.10. 02:00 |  | St. Louis Blues | Columbus Blue Jackets
16.10. 04:00 |  | Edmonton Oilers | Calgary Flames
16.10. 04:00 |  | [NAME] | [NAME] Knights
16.10. 04:30 |  | San Jose Sharks | Chicago Blackhawks
Spreadsheet: 19f771e9-7a95-4dd9-b461-3b97d6d97c05
Sheet: 12a

Product |  | Cleared** | Uncleared | TOTAL
Swap* | Basis
 | FRA
 | Exotic
 | Inflation
 | IRS- [NAME]
 | OIS
 | VNS
 | Zero Coupon
With Optionality | Callable Swap
 | Cap/Floor
 | Debt Option
 | Exotic Option
 | Swaption
Cross-Currency | Exotic
 | Swap
TOTAL |  | N/A*** | N/A | N/A
Estimated swap dollar volumes, week ending January 4, by product type and cleared status (value of all trades in millions of USD), all participant types 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 Explanatory Notes for more detail.
*See Data Dictionary for product descriptions and Explanatory Notes for data sources.
**See Explanatory Notes for cleared and uncleared 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: 05fe99ce-2e3e-4653-8480-92c54b45c2f3
Sheet: 13. StructuresUse

 | FY 2012 Federal Real Property Charts
 | Structures Real Property Use†
 | Real Property Use | # [NAME]* | Owned Annual Operating Costs* | # [NAME] | Lease Annual Costs**
 | Airfield Pavements | 8910 | 416703104.885 | 617 | 24916493.48
 | All Other*** | 87424 | 474517516.134 | 2662 | 19704579.96
 | Communications Systems | 12202 | 93899700.47299999 | 1930 | 16826995.825
 | Flood Control and Navigation | 3845 | 304542312.061 | 32 | 85572.331
 | Harbors and Ports | 3393 | 173903348.803 | 154 | 16432300.746
 | Industrial (other than buildings) | 2730 | 49762044.69400001 | 15 | 219339.793
 | Miscellaneous Military Facilities | 33461 | 172532249.525 | 965 | 7320925.264
 | Monuments and Memorials | 6229 | 17583992.784 | 27 | 5289.065
 | Museum | 0 | 0 | 0 | 0
 | Navigation and Traffic Aids (other than buildings) | 26390 | 321659531.402 | 371 | 11301116.092
 | [NAME] | 38478 | 518933929.519 | 1837 | 46127650.381
 | Power Development and Distribution | 753 | 368579525.13 | 0 | 0
 | Railroads | 791 | 55908602.531 | 56 | 1389142.463
 | Reclamation and Irrigation | 11873 | 401960518.468 | 125 | 216273.628
 | Recreational (other than buildings) | 42597 | 502659050.859 | 746 | 10507544.222
 | Research and Development (other than Laboratories) | 3270 | 77553586.728 | 84 | 157941.94
 | Roads and [NAME] | 46703 | 747823695.215 | 867 | 18270285.576
 | Service (other than buildings) | 12047 | 196305407.812 | 515 | 26453676.681
 | Space Exploration Structures | 79 | 14380844 | 0 | 0
 | Storage (other than buildings) | 30194 | 861232686.0929999 | 1167 | 94197987.516
 | Utility Systems | 92965 | 1979494084.984 | 4645 | 135346654.387
 | Weapons Ranges | 4655 | 48154426.516 | 62 | 195683.283
 | Total | 468989 | 7798090158.616001
 | † All real property data from the CFO Act agencies required to submit data to the FRPP
 | *includes federal government owned, foreign government owned, museum trust, state government owned, and leased
 | ** Includes operations and maintenance costs and rent
 | *** The All Other category is defined as "Structures that cannot be classified elsewhere."
Spreadsheet: 837489d1690204559-replacing-in-the-results-by-0-outil_test
Sheet: Saisie flore

 | RELEVÉS FLORE
 | Placette 1 |  | 2 | Placette 3 |  | Placette 4 |  | Placette 5 |  | Placette 6 |  | Placette 7 |  | Placette 8 |  | Placette 9 |  | Placette 10 |  | Placette 11 |  | Placette 12 |  | Placette 13 |  | Placette 14 |  | Placette 15 |  | Placette 16 |  | Placette 17 |  | Placette 18 |  | Placette 19 |  | Placette 20
 | CD_REF | CR | CR | CD_REF | CR | CD_REF | CR | CD_REF | CR | CD_REF | CR | CD_REF | CR | CD_REF | CR | CD_REF | CR | CD_REF | CR | CD_REF | CR | CD_REF | CR | CD_REF | CR | CD_REF | CR | CD_REF | CR | CD_REF | CR | CD_REF | CR | CD_REF | CR | CD_REF | CR | CD_REF | CR
 | 80590 | - | 4 | 88385 | 2 | 771637 | 1 | 80590 | 3
 | 80639 | - | 3 | 771637 | 1 | 88489 | 1 | 80639 | 2
 | 80759 | - | 1 | 89653 | 1 | 88608 | 2 | 91382 | 2
 | 80990 | 1 |  | 95922 | 4 | 88802 | 1 | 96271 | 1
 | 82738 | 2 |  | 103142 | 3 | 91322 | 1 | 98717 | 3
 | 88385 | - | 1 | 103272 | 3 | 91382 | 2 | 99473 | 2
 | 771637 | - |  | 104145 | 0.5 | 94266 | 0.5 | 102900 | 1
 | 88489 | - |  | 108718 | 4 | 96665 | 2 | 102906 | 1
 | 88608 | - | 3 | 115280 | 2 | 98717 | 1 | 104101 | 2
 | 88802 | - | 1 | 115470 | 1 | 103142 | 1 | 104173 | 4
 | 89653 | - | 1 | 127864 | 2 | 103272 | 2 | 119418 | 1
 | 91322 | - | 0.5 |  |  | 106698 | 2
 | 91382 | - | 2 |  |  | 106842 | 1
 | 94266 | - |  |  |  | 106918 | 0.5
 | 95922 | - |  |  |  | 108718 | 5
 | 96271 | - |  |  |  | 115470 | 3
 | 96665 | - |  |  |  | 116759 | 0.5
 | 98717 | 2 |  |  |  | 119948 | 0.5
 | 99473 | - |  |  |  | 122073 | 0.5
 | 99494 | 2 |  |  |  | 197825 | 4
 | 102900 | - |  |  |  | 126613 | 0.5
 | 102906 | - |  |  |  | 127864 | 0.5
 | 103142 | - |  |  |  | 129669 | 0.5
 | 103272 | - |  |  |  | 997006 | 2
 | 104101 | -
 | 104145 | -
 | 104173 | -
 | 106698 | -
 | 106842 | -
 | 106918 | -
 | 107073 | 3
 | 108718 | -
 | 115280 | -
 | 115470 | -
 | 116759 | -
 | 117201 | 2
 | 119418 | -
 | 119948 | -
 | 122073 | -
 | 126613 | -
 | 127864 | -
 | 128268 | 1
 | 129632 | 1
 | 129669 | -
 | 130065 | -
Spreadsheet: 17472e09-8832-4dad-a720-6c7ef92c1d1e
Sheet: $$ Total Library Materials

[NAME] vs. [NAME]
Total Library Materials Expenditures
 | FY 2007 | FY 2008 | FY 2009 | FY 2010 | FY 2011 | % Change
Peer Average
Peer Median
University of Rhode Island | 2821741 | 3649073 | 2890769 | 3035546 | 3268506
[NAME] University | 3115250 | 3314446 | 3690264 | U/A | 3628982
Montana State University - Bozeman | 3369724 | 4451757 | 3706460 | 4607546 | 4554116
North Dakota State University - Main Campus | 2016400 | 1984766 | 2525703 | 5881695 | U/A | U/A
University of Maine | 4767951 | 5326359 | 5453793 | 5564070 | 5329583
University of New Hampshire - Main Campus | 5227921 | 5246136 | 5359933 | 5631810 | 5476361
University of Vermont and State Ag. Coll. | 5568797 | 4873825 | 6178040 | 6599826 | 6894501
University of Wyoming | 3389989 | 5876682 | 7209740 | 3978503 | 7243781
Source: ACRLMetrics
Revised: May 30, 2012, ajr
Spreadsheet: 186732d1350180145-add-values-till-limit-is-breached-then-exclude-first-value-and-start-again-sumtolimit
Sheet: Sheet1

Values | Sum | Count |  | Limit: | 200
55 | 55
65 | 120
70 | 190
45 | 235 | 4
10 | 10
30 | 40
55 | 95
40 | 135
40 | 175
60 | 235 | 6
70 | 70
30 | 100
90 | 190
80 | 270 | 4
45 | 45
50 | 95
95 | 190
20 | 210 | 4
10 | 10
60 | 70
30 | 100
20 | 120
40 | 160
20 | 180
20 | 200
1 | 201 | 8
10 | 10