tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: chris_germany__1983__Dominion- Contract Summary
Sheet: Sheet3

EES Missing Contracts
 |  |  | Pre-Petition |  |  |  | Total | Post Petition
Contract No. | Rate Schedule | Expiration | Other Past Due Amounts | Nov. 2001 | Dec. 2, 2001 | Total Pre-Petition | Dec. , 2001 | Dec. 3-31,2001 | Jan. 2002 | Feb.2002 | Feb.2002 | Total Post Petition | Notes
 |  |  |  |  |  |  |  |  |  |  |  |  | Agency is dated 5/7/2001.
 |  |  |  |  |  |  |  |  |  |  |  |  | Agency is dated 5/7/2001.
 |  |  |  |  |  |  |  |  |  |  |  |  | Agency is dated 5/7/2001.
 |  |  |  |  |  |  |  |  |  |  |  |  | Agency is dated 5/7/2001.
 |  |  |  |  |  |  |  |  |  |  |  |  | Agency is dated 5/7/2001.
 |  |  |  |  |  |  |  |  |  |  |  |  | Agency is dated 5/7/2001.
 |  |  |  |  |  |  |  |  |  |  |  |  | Agency is dated 5/7/2001.
 |  |  |  |  |  |  |  |  |  |  |  |  | Agency is dated 5/7/2001.
 |  |  |  |  |  |  |  |  |  |  |  |  | Agency is dated 5/7/2001.
Spreadsheet: 176591d1345953600-want-to-get-highest-sales-qty-and-sales-person-name-within-specified-dates-pt-top-salesman-sample-sheet
Sheet: Sheet1

Sales person | Date | Product | Qty |  | Date | (All) | <<Set this filter range by your dates
[NAME] | 2012-08-01 00:00:00 | Pen
[NAME] | 2012-08-02 00:00:00 | Pencil |  |  | Row Labels | Sum of Qty
Leo | 2012-08-03 00:00:00 | eraser |  |  | [NAME] | 31 | <<This pivot table only shows top sum of Qty
Ravi | 2012-08-04 00:00:00 | ruler |  |  | Grand Total | 31 | You will need to refresh this PT if data changes
[NAME] | 2012-08-01 00:00:00 | books
[NAME] | 2012-08-02 00:00:00 | note books
Leo | 2012-08-03 00:00:00 | Pins
Ravi | 2012-08-04 00:00:00 | Sharpner
[NAME] | 2012-08-01 00:00:00 | Compas box
[NAME] | 2012-08-02 00:00:00 | ruler
Leo | 2012-08-03 00:00:00 | books
Ravi | 2012-08-04 00:00:00 | note books
[NAME] | 2012-08-01 00:00:00 | Pins
[NAME] | 2012-08-02 00:00:00 | Sharpner
Leo | 2012-08-03 00:00:00 | Compas box
Ravi | 2012-08-04 00:00:00 | eraser
I want formula which will give highest sold qty in ( Cell C21) and sales person name in ( Cell D21) after putting the date ranges in cells A21 and B21
 |  | Qty ? | Sale person name ?
2012-08-01 00:00:00 | 2012-08-04 00:00:00
Spreadsheet: 7bbc2626-fed8-4e9f-9927-62df89820d48
Sheet: Calendar 2007

PEABODY ENERGY CORPORATION
Quarterly Consolidated Income Statements
(Dollars in millions, except per share data)
 |  |  |  |  |  |  |  |  |  |  | (Audited)
 |  |  | Quarters Ended (Unaudited) |  |  |  |  |  |  |  | Year Ended
 |  |  | March 31, |  | June 30, |  | Sept. 30, |  | Dec. 31, |  | Dec. 31,
 |  |  | 2007 |  | 2007 |  | 2007 |  | 2007 |  | 2007
Sales |  |  | 1039.3 |  | 1011.8 |  | 1123.4 |  | 1139.4
Other revenues |  |  | 50.3 |  | 45.2 |  | 60.5 |  | 53.9
REVENUES
COSTS AND EXPENSES
Operating costs and expenses |  |  | 825.1 |  | 810.5 |  | 962.8 |  | 911.7
Depreciation, depletion and amortization |  |  | 77.7 |  | 86.2 |  | 86.4 |  | 96
Asset retirement obligation expense |  |  | 5.6 |  | 3.7 |  | 4.9 |  | 9.5
Selling and administrative expenses |  |  | 31.7 |  | 32.1 |  | 33.2 |  | 50.1
Other operating income:
Net gain on disposal or exchange of assets |  |  | -1.4 |  | -53 |  | -21.9 |  | -12.3
Income from equity affiliates |  |  | -2.3 |  | -4.3 |  | -2.9 |  | -5
OPERATING PROFIT
Interest income |  |  | -2.8 |  | -1.5 |  | -1.5 |  | -1.2
Interest expense |  |  | 57.7 |  | 58.8 |  | 58.9 |  | 60.4
INCOME FROM CONTINUING OPERATIONS
BEFORE INCOME TAXES |  |  | 98.3
Income tax provision (benefit) |  |  | 12.6 |  | 18.6 |  | 8.8 |  | -110.7
INCOME FROM CONTINUING OPERATIONS, NET OF INCOME TAXES
 | Income (loss) from discontinued operations, net of incomes taxes |  | 2.4 |  | 6.5 |  | -26.2 |  | -162.8
NET INCOME
 | Less: net income (loss) attributable to noncontrolling interests |  | -0.3 |  | 4.8 |  | -3.2 |  | -3.6
NET INCOME ATTRIBUTABLE TO COMMON STOCKHOLDERS
Diluted number of shares (weighted average in millions) (1) |  |  | 267.8 |  | 268.4 |  | 268.6 |  | 270 |  | 268.6
Diluted EPS from Continuing Operations |  |  | 0.3200149365197909 |  | 0.3945603576751112 |  | 0.205510052122115 |  | 0.7214814814814822 |  | 1.64
EBITDA (2)
(1) | We compute EPS using a two-class method using an earnings allocation method that determines EPS separately for common stock and participating securities. As a result, it may not be possible to recalculate EPS as presented in our condensed consolidated statements of operations.
(2) | EBITDA (also called Adjusted EBITDA) is defined as income from continuing operations before deducting net interest expense, income taxes, asset retirement obligation expense, and depreciation, depletion and amortization.  EBITDA, which is not calculated identically by all companies, is not a substitute for operating income, net income or cash flow as determined in accordance with United States generally accepted accounting principles.  Management uses EBITDA as a key measure of operating performance and also believes it is a useful indicator of the company’s ability to meet debt service and capital expenditure requirements.
This information is intended to be reviewed in conjunction with the company's filings with the Securities and Exchange Commission.
Spreadsheet: 5276b1e0-ee34-4725-aca6-a607d2646b80
Sheet: Sheet1

Table 3--Soybean oil:  U.S. supply and disappearance | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9
 |  | Supply
Year beginning | Beginning | Production | Imports | Total |  | Domestic | Exports | Total | Ending
October 1 | stocks |  |  |  |  |  |  |  | stocks
 |  |  |  | Million pounds
2010/11 | 3405.78 | 18887.58252 | 159.001 | 22452.36352 |  | 16794.32052 | 3232.696 | 20027.01652 | 2425.347
2011/121 | 2425.347 | 19795 | 150 | 22370.347 |  | 18300.347 | 1450 | 19750.347 | 2620
2012/132 | 2620 | 17600 | 350 | 20570 |  | 18100 | 1200 | 19300 | 1270
1 Estimated.  2 Forecast.
Source: USDA, World Agricultural Outlook Board, World Agricultural Supply and Demand Estimates.
Last update: | 2012-10-17 11:36:36.360000
Spreadsheet: joe_parks__14712__POSTION05_02
Sheet: M-V_SWAP

 | SELL |  |  |  | BUY
BEGINNING |  |  |  |  | 38.25 | 3.777 |  |  |  |  | MTM
 |  |  |  |  |  |  |  |  |  |  | ROLLOFF VAULE
 |  |  |  |  |  |  |  |  |  |  | NEW DEALS
 |  |  |  |  |  |  |  |  |  |  | TOTAL  P&L
 |  |  |  |  |  |  |  |  |  |  | POSTION
 |  |  |  |  |  |  |  |  |  |  | ROLL OFF
 |  |  |  |  |  |  |  |  |  |  | NET POSTION
 |  |  |  |  |  |  |  |  |  |  |  | 153
 |  |  |  |  |  |  |  |  |  |  | 0.25
 |  |  |  |  |  |  |  |  |  |  | 0.5
 |  |  | <- Current MTM
 |  |  |  |  |  |  | <- Realized PL
 |  |  |  |  |  |  | <- MTM PL w/o Real PL
 |  |  |  |  |  |  | <- MTM PL with Real PL
 |  |  |  |  |  |  | <- Total Pl
Spreadsheet: 844379d1696132425-calculating-ytd-and-progress-to-target-for-progress-against-target
Sheet: Sheet1

Corporate Services - Metric | Target | Q1 | YTD | Progress against Target
95% meetings completed | 0.95 | 0.95
Operate within budget | 1 | 0.97
95% mandatory training | 0.95 | 0.9
100% policies maintained | 1 | 0.5
Corporate Services - Metric | Target | Q2 | YTD | Progress against Target
95% meetings completed | 0.95 | 0.95 |  |  | ?
Operate within budget | 1 | 0.98 |  |  | ?
95% mandatory training | 0.95 | 0.95 |  |  | ?
100% policies maintained | 1 | 0.6 |  |  | ?
Corporate Services - Metric | Target | Q3 | YTD | Progress against Target
95% meetings completed | 0.95 | 0.9 |  |  | ?
Operate within budget | 1 | 0.99 |  |  | ?
95% mandatory training | 0.95 | 0.9 |  |  | ?
100% policies maintained | 1 | 0.75 |  |  | ?
Corporate Services - Metric | Target | Q4 | YTD | Progress against Target
95% meetings completed | 0.95 | 0.9 |  |  | ?
Operate within budget | 1 | 0.945 |  |  | ?
95% mandatory training | 0.95 | 0.88 |  |  | ?
100% policies maintained | 1 | 1 |  |  | ?
Spreadsheet: 097d9474-9856-4419-9307-f6a9c83076bf
Sheet: PPI 001

Permit No.: |  | WQ0034162 |  | Facility Name: |  | Wanchese Seafood Industrial Park |  |  |  |  | County: | Dare |  | Month: |  |  | Year:
PPI: |  | 001 | Flow Measuring Point: |  |  |  |  |  |  | Parameter Monitoring Point:
Parameter Code |  |  | 50050 | 00310 | 31616 | 00610 | 00625 | 00620 | 00400 | 00530 | 00076
Day | ORC Arrival Time | ORC Time On Site | Flow
 | 24-hr | hrs | GPD
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
Average:
Daily Maximum:
Daily Minimum:
Sampling Type: |  |  | Recorder | Grab | Grab | Grab | Grab | Grab | Grab | Grab | Recorder
Monthly Limit: |  |  | 10670 | 10 | 14 | 4 |  |  |  | 5
Daily Limit: |  |  |  | 15 | 25 | 6 |  |  | 6-9 | 10 | 10
Sample Frequency: |  |  | [NAME] | Monthly | Monthly | Monthly | Monthly | Monthly | 5 x Week | Monthly | [NAME]
Spreadsheet: 137324d1327063928-excel-2007-indicator-for-row-with-latest-data-ac1
Sheet: Sheet2

1 | 2011-06-01 00:00:00 | Creation | NO
2 | 2011-06-01 00:00:00 | Creation | YES
3 | 2011-06-01 00:00:00 | Creation | YES
1 | 2011-10-16 00:00:00 | Amednement | NO
1 | 2011-12-23 00:00:00 | Amednement | YES
Spreadsheet: 188043d1350663057-cross-reference-two-x-y-tables-that-share-the-x-axis-question-for-table-3
Sheet: Sheet1

 | Sheet 1 |  |  |  |  |  | Sheet 2 |  |  |  |  |  | Sheet 3
 |  | Inventory Required | Item1 | Item 2 | Item 3 |  |  | Inventory Required | Item1 | Item 2 | Item 3 |  |  | Suppliers | S1 | S2 | S3 | [NAME]
 | Product |  |  |  |  |  | Supplier |  |  |  |  |  | Product
 | P1 |  | X |  |  |  | S1 |  | X |  |  |  | P1 |  | X | X
 | P2 |  |  | X |  |  | S2 |  | X | X |  |  | P2 |  |  | X | X | X
 | P3 |  |  |  | X |  | S3 |  |  | X |  |  | P3 |  |  |  |  | X
 | P4 |  | X | X | X |  | [NAME] |  |  | X | X |  | P4 |  | X | X | X | X
 | If someone could please help:
 | I have the following two sheets:
 | Sheet 1 |  |  |  |  |  | Sheet 2
 |  | Inventory Required | Item1 | Item 2 | Item 3 |  |  | Inventory Required | Item1 | Item 2 | Item 3
 | Product |  |  |  |  |  | Supplier
 | P1 |  | X |  |  |  | S1 |  | X
 | P2 |  |  | X |  |  | S2 |  | X | X
 | P3 |  |  |  | X |  | S3 |  |  | X
 | P4 |  | X | X | X |  | [NAME] |  |  | X | X
 | I want to create a Sheet 3 that automatically cross references the above sheets as such:
 | If a Product (i.e. P1) maps to an Inventory Required (i.e. Item 1) and an Inventory Required (i.e. Item 1) is mapped to a [NAME] (i.e. S1 & S2) then the results would show which Product (i.e. P1) requires which [NAME] (i.e. S1 & S2). It doesn't necessarily have to look like the graph below, a list will do as well, but it would have to be a sustainable/automated process seeing as how there are 200 Products/Supplies and 400 items that constantly change and are "re-mapped." Thanks for your help!
Spreadsheet: 375992d1423441329-taking-multiple-excel-documents-and-grouping-the-data-into-a-single-spreadsheet-apollo-ver2
Sheet: Sheet1

Name: Vince |  |  |  |  |  |  | Date: 2/7/2015
# | Guest Name | Date | # Of Guests | Service Provided | Res. ID | Add-On Detail | Revised | *Payments/POA | **Sent
1 | [NAME] | 2015-02-07 00:00:00 | 4 | Tram | 24263819 | - | - | 43 | E
1 | [NAME] | 2015-02-07 00:00:00 | 2 | Tram | 24263845 | - | - | 17 | D
1 | [NAME] | 2015-02-07 00:00:00 | 5 | Tram | 24264127 | - | - | 43 | E
1 | [NAME] | 2015-02-08 00:00:00 | 2 | Tram | 24264460 | - | - | 23 | E
Spreadsheet: jeffrey_a_shankman__13918__Pick Sheet - Week 17
Sheet: Week 15

NFL PICKS OF THE WEEK - 2001
Name:
Phone Number where we can reach you on Sunday morning:
Last Person Standing Team Pick:
SEND TO:   E-mail - [EMAIL] |  |  |  | Phone - (707) 255-4813 |  |  | Fax - (707) 255-4832
WEEK 15  - First Game is Saturday @ 9:30 a.m.
 |  | Visitor |  |  |  | Home
Saturday, December 15
 |  | Arizona Cardinals |  |  |  | New York Giants
 |  | Oakland Raiders |  |  |  | San Diego Chargers
Sunday, December 16
 |  | New England Patriots |  |  |  | Buffalo Bills
 |  | Tampa Bay Buccaneers |  |  |  | Chicago Bears
 |  | [NAME] |  |  |  | [NAME]
 |  | Minnesota Vikings |  |  |  | Detroit Lions
 |  | Atlanta Falcons |  |  |  | Indianapolis Colts
 |  | Denver Broncos |  |  |  | Kansas City Chiefs
 |  | Cincinnati Bengals |  |  |  | New York Jets
 |  | Philadelphia Eagles |  |  |  | Washington Redskins
 |  | Green Bay Packers |  |  |  | Tennessee Titans
 |  | [NAME] |  |  |  | San Francisco 49er's
 |  | Dallas Cowboys |  |  |  | [NAME]
 |  | Pittsburgh Steelers |  |  |  | Baltimore Ravens
Monday, December 17
 |  | St. Louis Rams |  |  |  | New Orleans Saints
Tiebreaker |  |  |  | Total |  |  | Total should = 120
Entries must be received by the beginning of the first game of the week (earlier is perfectly ok!)
Always start by giving the team that you think is most likely to win 15 points and go down from there.
If there are only 14 games in a week, your lowest pick will be "2" instead of "1"
Bye Week: | Carolina Panthers
Spreadsheet: 51045d1250617945-locking-a-form-but-allow-text-input-mobilization-service-request-form
Sheet: Sheet1

SKANSKA
 |  |  |  |  |  |  |  |  |  |  | USA Civil Southeast Inc.
Mobilization/Service Request Form
To Be Entered by Job: |  |  |  |  |  |  |  |  |  | Agreement #: | 000001
Project Name/No./Location:
Delivery Location:
Schedule Requirement: |  |  | Start Date: |  |  |  |  | - | End Date:
Scope of Work:
 | Qty. | Description: |  |  |  |  |  |  | Material Source: (Yard, Job, etc.)
Budget: | $
Attachments: (List Drawings, Details, etc.)
To Be Entered By Yard:
Cost Estimate: |  | $
[NAME]: |  |  | Start Date: |  |  |  |  | - | End Date:
Agreement:
 |  | Project Manager Signature: |  |  |  |  |  |  | Equipment Manager Signature:
 |  | Date: |  |  |  |  |  |  | Date:
Spreadsheet: 164116d1340652466-need-to-identify-the-number-of-minutes-that-fit-into-a-specific-interval-capacity_test
Sheet: Times

07:30:00
07:59:00
08:00:00
08:29:00
08:30:00
08:59:00
09:00:00
09:29:00
09:30:00
09:59:00
10:00:00
10:29:00
10:30:00
10:59:00
11:00:00
11:29:00
11:30:00
11:59:00
12:00:00
12:29:00
12:30:00
12:59:00
13:00:00
13:29:00
13:30:00
13:59:00
14:00:00
14:29:00
14:30:00
14:59:00
15:00:00
15:29:00
15:30:00
15:59:00
16:00:00
16:29:00
16:30:00
16:59:00
17:00:00
17:29:00
17:30:00
17:59:00
18:00:00
18:29:00
18:30:00
18:59:00
Spreadsheet: 841787d1693938649-return-just-one-criteria-ignore-others-yes
Sheet: Sheet1

Acct # | Class | Type
 | Loose Sales
T111 | General
T112 | Loose Sales
T113 | Sales Contract | Yes
T114 | Sales Contract | Yes
T115 | General
T116 | General
T117
T118 | Sales Contract | Yes
T119
T200 | Sales Contract | Yes
Spreadsheet: 137619d1327260906-excel-or-access-for-manufacturing-costing-dummy-file
Sheet: BBQ ALMONDS

BBQALMNDS - BBQ ALMONDS
KG | [NAME] CODE | INGREDIENT | PERCENT | [NAME] | $/KG | EXT
47.89 | DRAL4 | DRY ROASTED ALMONDS
5 | [NAME] | BBQ SPICE MIX 2A9C007
1.32 | CSOR | CANE SUGAR
0.7 | SESAL | SEA SALT
5.26 | WA | WATER
 |  | [NAME]
 |  | Percentage of loss: | 0.1 |  | SUB TOTAL:
 |  | GROSS kg per batch: | 105 |  | ADJUSTED:
 |  | NET kg per batch: |  |  | Total labour cost:
 |  | Min./batch : | 45 |  | TOTAL:
Spreadsheet: 816516ae-b936-4f6c-b1a8-64d7995504a1
Sheet: Page 4

Permit No.: |  |  | WQ0003765 |  |  | Facility Name: |  | New Bern Seven Water Reclamation Facility |  |  |  |  |  | County: | [NAME] |  | Month: |  |  | Year:
Did irrigation occur    at this facility? |  |  |  |  |  | Field Name: |  | 9-B |  | Field Name: |  | 9-C |  | Field Name: |  | AF-1 |  | Field Name: |  | AF-2
 |  |  |  |  |  | Area (acres): |  | 1.48 |  | Area (acres): |  | 8.43 |  | Area (acres): |  | 0.38 |  | Area (acres): |  | 0.38
 |  |  |  |  |  | Cover Crop: |  |  |  | Cover Crop: |  |  |  | Cover Crop: |  |  |  | Cover Crop:
 |  |  |  |  |  | [NAME] (in): |  |  |  | [NAME] (in): |  |  |  | [NAME] (in): |  | 0.57 |  | [NAME] (in): |  | 0.57
 |  |  |  |  |  | Annual Rate (in): |  | 65.2 |  | Annual Rate (in): |  | 52.1 |  | Annual Rate (in): |  | 21 |  | Annual Rate (in): |  | 21
Day | Weather |  |  | Freeboard |  | Field Irrigated? |  |  |  | Field Irrigated? |  |  |  | Field Irrigated? |  |  |  | Field Irrigated?
 | Weather Code | Temperature | Precipitation | Storage | 5-Day Upset (if applicable) | Volume Applied | Time   Irrigated | Daily   Loading | Maximum Hourly Loading | Volume Applied | Time    Irrigated | Daily   Loading | Maximum Hourly Loading | Volume Applied | Time   Irrigated | Daily   Loading | Maximum Hourly Loading | Volume Applied | Time   Irrigated | Daily   Loading | Maximum Hourly Loading
 |  | ºF | in | ft | ft | gal | min | in | in | gal | min | in | in | gal | min | in | in | gal | min | in | in
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
Monthly Loading:
12 Month Floating Total (in):
Spreadsheet: 0c986c28-308e-480b-8131-9885f9a6e696
Sheet: Sheet1

Undergraduate Majors | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10
Faculty of Social Sciences
Study Year | Major [NAME] |  |  |  | Enrolment Headcount
 |  | 1999-00 | 2000-01 | 2001-02 | 2002-03 | 2003-04 | 2004-05 | 2005-06 | 2006-07 | 2007-08
 | Single | 566 | 560 | 604 | 739 | 1193 | 1245 | 1268 | 1287 | 1281
 | Combined | 23 | 18 | 6 | 8 | 12 | 13 | 18 | 19 | 15
Year I | Sub-Total: | 589 | 578 | 610 | 747 | 1205 | 1258 | 1286 | 1306 | 1296
 | Gen/Integ. Studies | 3 | 2 | 0 | 1 | 0 | 16 | 0 | 270 | 389
 | Total: | 592 | 580 | 610 | 748 | 1205 | 1274 | 1286 | 1576 | 1685
 | Single | 474 | 572 | 618 | 693 | 827 | 1219 | 1235 | 1161 | 1102
 | Combined | 127 | 78 | 52 | 65 | 48 | 78 | 68 | 68 | 48
Year II | Sub-Total: | 601 | 650 | 670 | 758 | 875 | 1297 | 1303 | 1229 | 1150
 | Gen/Integ. Studies | 1 | 1 | 1 | 1 | 0 | 11 | 1 | 101 | 144
 | Total: | 602 | 651 | 671 | 759 | 875 | 1308 | 1304 | 1330 | 1294
 | Single | 747 | 685 | 762 | 785 | 876 | 806 | 1128 | 1132 | 1023
 | Combined | 208 | 164 | 161 | 118 | 71 | 77 | 88 | 64 | 79
Year III | Sub-Total: | 955 | 849 | 923 | 903 | 947 | 883 | 1216 | 1196 | 1102
 | Gen/Integ. Studies | 23 | 15 | 9 | 6 | 2 | 2 | 1 | 92 | 105
 | Total: | 978 | 864 | 932 | 909 | 949 | 885 | 1217 | 1288 | 1207
 | Single | 225 | 378 | 446 | 440 | 513 | 387 | 507 | 767 | 673
 | Combined | 83 | 74 | 73 | 84 | 50 | 27 | 42 | 74 | 45
Year IV | Sub-Total: | 308 | 452 | 519 | 524 | 563 | 414 | 549 | 841 | 718
 | Gen/Integ. Studies | 2 | 3 | 3 | 1 | 4 | 1 | 1 | 3 | 5
 | Total: | 310 | 455 | 522 | 525 | 567 | 415 | 550 | 844 | 723
 | Single | 2012 | 2195 | 2430 | 2657 | 3409 | 3657 | 4138 | 4347 | 4079
 | Combined | 441 | 334 | 292 | 275 | 181 | 195 | 216 | 225 | 187
TOTAL: | Sub-Total: | 2453 | 2529 | 2722 | 2932 | 3590 | 3852 | 4354 | 4572 | 4266
 | Gen/Integ. Studies | 29 | 21 | 13 | 9 | 6 | 30 | 3 | 466 | 643
 | Total: | 2482 | 2550 | 2735 | 2941 | 3596 | 3882 | 4357 | 5038 | 4909
 | Adjusted Total: | 2375 | 2382 | 2578 | 2824 | 3596 | 3882 | 4357 | 5038 | 4909
Male |  |  |  |  |  | 988 | 1123 | 1383 | 1718 | 1641
Female |  |  |  |  |  | 2608 | 2759 | 2974 | 3320 | 3268
Full-Time |  |  |  |  |  | 3258 | 3497 | 3905 | 4382 | 4220
Part-Time |  |  |  |  |  | 338 | 385 | 452 | 656 | 689
General Studies (Social Sciences) and Tourism were added starting in 2006-07.
Note: Adjusted Total eliminates double-counting of combined majors within the Faculty
for 2002/03. Add Tourism in 2006-07; General Studies (464) were added in 2006-07.
Spreadsheet: 07e0d2b7-4a23-4eff-a8b2-728fe8ba936f
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11
 | Time Series Workbook
 | 5671.0 Lending Finance, Australia
 | TABLE 48. OPERATING LEASE FINANCE COMMITMENTS: By Purpose: State (NT), Original (Number, $000)
Related Information: | Summary Publication | Explanatory Notes | Inquiries
 | Glossary
Data Item Description |  |  | Series Type | Series ID | Series Start | Series End | No. Obs. | Unit | Data Type | [NAME]. | Collection Month
1. . . [NAME] ; |  |  | Original | A2413737T | 1985-01-01 00:00:00 | 2011-06-01 00:00:00 | 318 | $'000 | FLOW | Month | 1
1.1 . . . . . New cars and station wagons ; |  |  | Original | A2413738V | 1985-01-01 00:00:00 | 2011-06-01 00:00:00 | 318 | $'000 | FLOW | Month | 1
. . . . . . . . [New cars and station wagons (no.)] ; |  |  | Original | A2413739W | 1985-01-01 00:00:00 | 2011-06-01 00:00:00 | 318 | Number | FLOW | Month | 1
1.2 . . . . . Used cars and station wagons ; |  |  | Original | A2413740F | 1985-01-01 00:00:00 | 2011-06-01 00:00:00 | 318 | $'000 | FLOW | Month | 1
. . . . . . . . [Used cars and station wagons (no.)] ; |  |  | Original | A2413741J | 1985-01-01 00:00:00 | 2011-06-01 00:00:00 | 318 | Number | FLOW | Month | 1
1.3 . . . . . Other motor vehicles ; |  |  | Original | A2413742K | 1985-01-01 00:00:00 | 2011-06-01 00:00:00 | 318 | $'000 | FLOW | Month | 1
2. . . Other Transport Equipment ; |  |  | Original | A2413743L | 1985-01-01 00:00:00 | 2011-06-01 00:00:00 | 318 | $'000 | FLOW | Month | 1
3. . . Agricultural, Construction & Manufacturing equipment ; |  |  | Original | A2413744R | 1985-01-01 00:00:00 | 2011-06-01 00:00:00 | 318 | $'000 | FLOW | Month | 1
4. . . Office Equipment  ; |  |  | Original | A2413745T | 1985-01-01 00:00:00 | 2011-06-01 00:00:00 | 318 | $'000 | FLOW | Month | 1
5. . . Other ; |  |  | Original | A2413746V | 1985-01-01 00:00:00 | 2011-06-01 00:00:00 | 318 | $'000 | FLOW | Month | 1
TOTAL OPERATING LEASE FINANCE ; |  |  | Original | A2413747W | 1985-01-01 00:00:00 | 2011-06-01 00:00:00 | 318 | $'000 | FLOW | Month | 1
© Commonwealth of Australia  2011
Spreadsheet: f1149138-5a3b-49bd-8f4e-0dbbba3399c3
Sheet: Sheet1

STATE OF NEW HAMPSHIRE | Unnamed: 1 | Unnamed: 2 | Unnamed: 3
ELECTIONS DIVISION
STATE GENERAL ELECTION - November 4, 2008
GRAFTON COUNTY/BALLOTS CAST
2008-11-04 00:00:00 | Regular | Absentee | Total
[NAME] | 834 | 67 | 901
Ashland | 1052 | 96 | 1148
Bath | 473 | 47 | 520
[NAME] | 138 | 49 | 187
Bethlehem | 1271 | 155 | 1426
Bridgewater | 605 | 105 | 710
Bristol | 1482 | 218 | 1700
Campton | 1639 | 211 | 1850
Canaan | 1706 | 190 | 1896
Dorchester | 191 | 22 | 213
Easton | 168 | 26 | 194
Ellsworth** | 49 | 6 | 55
Enfield | 2218 | 270 | 2488
Franconia | 637 | 140 | 777
[NAME] | 649 | 75 | 724
[NAME] | 304 | 18 | 322
Hanover | 6486 | 1077 | 7563
Haverhill | 1888 | 209 | 2097
Hebron | 368 | 54 | 422
Holderness | 1140 | 194 | 1334
Landaff | 224 | 28 | 252
Lebanon Ward 1 | 1998 | 306 | 2304
Lebanon Ward 2 | 1903 | 190 | 2093
Lebanon Ward 3 | 2153 | 340 | 2493
Lincoln | 727 | 107 | 834
Lisbon | 728 | 68 | 796
Littleton | 2741 | 354 | 3095
Livermore | 0 | 0 | 0
[NAME] | 288 | 36 | 324
Lyme | 971 | 206 | 1177
Monroe | 452 | 72 | 524
Orange | 154 | 13 | 167
Orford | 666 | 78 | 744
Piermont | 407 | 65 | 472
Plymouth | 3648 | 269 | 3917
Rumney | 841 | 98 | 939
[NAME] | 364 | 61 | 425
[NAME] | 1273 | 176 | 1449
[NAME] | 459 | 39 | 498
Waterville Valley | 147 | 74 | 221
Wentworth | 480 | 61 | 541
Woodstock | 666 | 101 | 767
Totals | 44588 | 5971 | 50559
**corrections rec'd from clerk
Spreadsheet: 41417d1239886122-pulling-data-from-list-if-cell-blank-then-move-to-next-remove-blanks
Sheet: Sheet1

Albania
Algeria
0
Argentina
Armenia
Australia
[NAME]
Bahrain
Bangladesh
Barbados
Belarus
Belize
Bolivia
Botswana
Brazil
Brunei
0
0
Cameroon
Canada
0
China
Colombia
Costa Rica
Croatia
Cuba
Cyprus
Czech Republic
Democratic Republic of the Congo
Denmark
Djibouti
French [NAME]
Gambia
Georgia
Germany
Ghana
Greece
Guam
Guatemala
Guyana
Hong Kong
Hungary
Iceland
India
0
Iran
Israel
Italy
Ivory Coast
Jamaica
Japan
Kazakhstan
Kenya
0
Kuwait
Kyrgyzstan
Laos
Latvia
Lebanon
[NAME]
Libya
Lithuania
Luxemburg
Macau
Macedonia
Madagascar
[NAME]
Malaysia
Malta
0
Mexico
Moldova
Mongolia
Morocco
Mozambique
Namibia
[NAME]
Netherlands
New Zealand
0
Oman
Pakistan
Panama
[NAME]
Paraguay
Peru
Philippines
Poland
Portugal
Puerto Rico
Qatar
Republic of Ireland
Reunion
Russia
Rwanda
Saudi Arabia
Senegal
Slovakia