tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 51538d1251201642-extracting-information-based-on-drop-down-selection-drop_down_sol
Sheet: FrontPage

Select the Type | Marketing |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Marketing
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Advertising
 |  |  | When I select the type from drop down, only relevant campaigns to that type along with the budget, gets displayed over here. Example is shown: |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Sales Promotion
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Events
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Training
Select the Type | Advertising |  | When I select the type from drop down, only relevant campaigns to that type along with the budget, gets displayed over here. Example is shown:
Spreadsheet: 853877d1703837604-how-to-count-specified-data-from-sheet-template-1-
Sheet: TOTALPRODCUTC

PRODUCT | Alabama | Alaska | Arizona | Arkansas | California | Colorado | Connecticut | Delaware | Florida | Georgia | Hawaii | Idaho | Illinois | Indiana | Iowa | Kansas | Kentucky | Louisiana | Maine | Maryland | Massachusetts | Michigan | Minnesota | Mississippi | Missouri | Montana | Nebraska | Nevada | New Hampshire | New Jersey | New Mexico | New York | North Carolina | North Dakota | Ohio | Oklahoma | Oregon | Pennsylvania | Rhode Island | South Carolina | South Dakota
LAPTOP | 1 | 2 | 3
TV | 5 | 2 | 3
PC | 6 | 2 | 4
MOBILE | 5 | 5 | 4
 |  | How to be counted from November sheet?
 | Alabama | Alaska | Arizona | Arkansas | California | Colorado | Delaware | Georgia | Illinois | Indiana | Louisiana | Massachusetts | Michigan | New Hampshire | New Jersey | New York | North Carolina | North Dakota | Ohio | Oregon | Rhode Island
LAPTOP | 2 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0
MOBILE | 3 | 1 | 0 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0
PC | 0 | 0 | 0 | 1 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
TV | 4 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 3 | 0 | 1 | 1
Spreadsheet: 794950d1662430508-formula-to-search-value-across-multiple-sheets-example
Sheet: Schedule

Schedule
å   Select hyperlinks below to open each session
Sessions | Date | Positions  Available | Course Status |  | Sessions
September
Session 1
October
Session 2
Session 3
November
Session 4
Session 5
Please refer to Employee List to review who requires this training, allocate into sessions above
Select hyperlink to open employee list → |  | Employee List
Spreadsheet: 3c414e3c-1fb5-45c1-a420-f0a853081da0
Sheet: Fall 2015

2015-2016 Class Schedule |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | You may select up to three classroom attributes.  Select only course requirements, as the number of available classrooms will be reduced with each attribute selected.
Graduate School of Liberal Studies
Fall 2015
Subject | Course and Title | Subtitle/Alternate Title | Course Attributes | Section | [NAME] | Part of Term | Dates | Days | Times | Credits | Instructor(s) | Instructor ID | FT or Adj | Contract Code | Percentage | Registration Approval | [NAME] | Blackboard Y/N | Campus: [NAME], [NAME], Online, Blended |  |  |  | Cross list?   SUBJ CRSE SEC | Comments
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Classroom Attribute A | Classroom Attribute B | Classroom Attribute C
Spreadsheet: 106404d1303643047-military-rank-formula-military-rank-example-workbook-2-
Sheet: Lookups

Rank | Abbreviation
General of the Army | GA | O-12
Chief of Operations | COP | O-11
General | GEN | O-10
Lieutenant General | LTG | [NAME]
Major General | MG | O-8
Brigadier General | BG | O-7
Colonel | COL | O-6
Lieutenant Colonel | LTC | O-5
Major | MAJ | O-4
Captain | CPT | O-3
First Lieutenant | 1LT | O-2
Second Lieutenant | 2LT | O-1
Chief Warrant Officer 5 | CW5 | W-5
Chief Warrant Officer 4 | CW4 | W-4
Chief Warrant Officer 3 | CW3 | W-3
Chief Warrant Officer 2 | CW2 | W-2
Warrant Officer | WO1 | W-1 |  | Grade | Army
Sergeant Major of the Army | SMA | E-? |  | [NAME] | (CSM) Command Sergeant Major
Command Sergeant Major | CSM | [NAME] |  | [NAME] | (SGM) Sergeant Major
Sergeant Major | SGM | [NAME] |  | [NAME] | (1SG) First Sergeant
First Sergeant | 1SG | [NAME] |  | [NAME] | (MSG) Master Sergeant
Master Sergeant | MSG | [NAME] |  | E-7 | (SFC) Sergeant First Class
Sergeant First Class | SFC | E-7 |  | E-7 | (PSG) Platoon Sergeant
Staff Sergeant | SSG | E-6 |  | E-6 | (SSG) Staff Sergeant
Sergeant | SGT | E-5 |  | E-5 | (Sgt) Sergeant
Corporal | CPL | E-4 |  | E-4 | (Cpl) Corporal
Specialist | SPC | E-4 |  | E-4 | (Sp4) Specialist 4
Private First Class | PFC | E-3 |  | E-3 | (PFC) Private FIrst Class
Private 2 | PV2 | E-2 |  | E-2 | (PV2) Private
Private | PVT | E-1 |  | E-1 | (PV1) Private
Spreadsheet: 487026d1477862811-how-to-create-a-table-to-show-age-by-day-rc-practice
Sheet: Pivot

Count of Assigned To | Column Labels
Row Labels | Closed | Open | Grand Total
Back Office | 1 | 1 | 2
AJ [NAME] |  | 1 | 1
Customer ([NAME]) | 1 |  | 1
Complaints | 1 |  | 1
[NAME] | 1 |  | 1
Customer
Automail
[NAME]
Front Office | 1 | 1 | 2
Helly Hansen | 1 |  | 1
(blank) |  | 1 | 1
Sales | 1 |  | 1
Customer ([NAME]) | 1 |  | 1
SME | 1 |  | 1
Customer ([NAME]) | 1 |  | 1
Grand Total | 5 | 2 | 7
Spreadsheet: 776502d1649764003-index-and-match-to-search-column-headers-and-return-total-example
Sheet: Totals

PE ID 7000 | PE ID 5005 | PE ID 5006 | PE ID 5010 | PE ID 5011 | PE ID 5200 | PE ID 5220 | PE ID 7500
Example 1 | Example 2 | Example 3 | Example 4 | Example 1 | Example 2 | Example 5 | Example 10
1000 | 2000 | 3000 | 4000 | 1000 | 2000 | 7000 | 10000
Spreadsheet: 859620d1707941453-pricing-strategy-logical-formula-cost-base-working-file
Sheet: Sheet1

 | Country | supplier 1 | supplier 2 | supplier 3 | supplier 4 | supplier 5 | supplier 6 |  | what is the mean | what is the median | what is the average | what could be the Standard divation | Best Fair Value
 | ABC | 130 | 343 | 122 | 343 | 124 | 234 |  | ? | ? | ? | ?
Spreadsheet: 864433d1711600536-array-formula-but-with-different-formula-inbetween-column-a-v-b-1-
Sheet: Actual

Description | 2023-04-30 00:00:00
Sales- Toy | 4099 | 4698 | 4491 | 4998 | 4240 | 4844 | 4341 | 5159 | 4109 | 4304 | 5236 | 5861
Sales-Food | 2042 | 2102 | 2143 | 1910 | 2109 | 2053 | 2132 | 1972 | 1902 | 2164 | 2076 | 1921
Sales-Furniture | 3885 | 4246 | 3780 | 4160 | 3628 | 3235 | 4198 | 3399 | 2885 | 2553 | 3893 | 4120
Sales-Foreign | 150 |  | 750 | 1100 | 600 |  | 600 |  |  | 500 | 1200
Spreadsheet: 109662d1306448507-how-to-insert-a-cell-reference-into-a-sumproduct-expression-help-mockup
Sheet: REF Titles and Rates

 |  |  | This row seeks out the row # of the hours subtotal by task on "Detailed Estimate" sheet:
 | JOB TITLE
 |  | [NAME]
 |  |  |  | 01.01 | 01.02 | 01.03 | 01.04 | 01.05 | 02.01 | 02.02 | 02.03 | 02.04 | 02.05 | 03.01 | 03.02 | 03.03 | 03.04 | 03.05 | 04.01 | 04.02 | 04.03 | 04.04 | 04.05 | Totals
 | None Selected | 0
 | Title 1 | 90
 | Title 2 | 100
 | Title 3 | 110
 | Title 4 | 120
 | Title 5 | 130
 |  |  |  | Need help populating the blue fields via a sumproduct expression that incorporates the data in Row 3.
Spreadsheet: 884230d1733317156-sort-a-to-z-not-working-book2
Sheet: Sheet1

 | Office | Active Participants | Fully Compliant | Compliance %
 | a | 0 | 0
 | b | 0 | 0
 | c | 0 | 0
 | d | 0 | 0
 | e | 6 | 6
 | f | 2 | 2
 | g | 5 | 5
 | h | 16 | 15
 | i | 6 | 5
 | j | 3 | 2
 | k | 15 | 8
 | l | 1 | 0
 | m | 1 | 0 | 0
Spreadsheet: 57309d8e-487f-4bdd-a543-adeb93a71377
Sheet: Sheet1

Release: Housing Units Authorized By Building Permits | Unnamed: 1 | Unnamed: 2
Link: http://alfred.stlouisfed.org/release?rid=148
ALFRED (ArchivaL Federal Reserve Economic Data)
Economic Research Division
Federal Reserve Bank of St. Louis
File Created: 2014-10-20 3:52 AM [NAME]
 | Real-Time | Period
Name: | Start | End
Housing Units Authorized By Building Permits | 2007-11-28 00:00:00 | Current
Link:
http://www.census.gov/construction/bps/ | 2007-11-28 00:00:00 | Current
Source:
U.S. Department of Commerce: Census Bureau | 2007-11-28 00:00:00 | Current
Notes:
Table 2 - United States, Region, Division and State (Unadjusted Data) | 2007-11-28 00:00:00 | Current
Table 3 - Metropolitan Areas (Unadjusted Data)
Release Dates Notes:
Release dates are determined by the following process:
When available, the actual release date as provided by the source is
entered into the ALFRED database.  If a release date is not available
from the source, the release date given by our data providers is used.
If a release date cannot be determined either from the source or from
our data providers, the date that the series was first available in
the St. Louis Fed's FRED database is used.
The release date list contains the dates when any series from this
release was revised.  Note that all series from a release do not
necessarily revise on every release date.
Release Dates:
2007-11-28 00:00:00
2007-12-27 00:00:00
2008-01-28 00:00:00
2008-02-27 00:00:00
2008-03-26 00:00:00
2008-04-24 00:00:00
2008-05-27 00:00:00
2008-06-25 00:00:00
2008-07-25 00:00:00
2008-08-26 00:00:00
2008-09-25 00:00:00
2008-10-27 00:00:00
2008-11-26 00:00:00
2008-12-23 00:00:00
2009-01-29 00:00:00
2009-02-26 00:00:00
2009-03-25 00:00:00
2009-04-24 00:00:00
2009-05-27 00:00:00
2009-06-24 00:00:00
2009-07-27 00:00:00
2009-08-26 00:00:00
2009-09-25 00:00:00
2009-10-27 00:00:00
2009-11-25 00:00:00
2009-12-23 00:00:00
2010-01-28 00:00:00
2010-02-25 00:00:00
2010-03-24 00:00:00
2010-04-26 00:00:00
2010-05-26 00:00:00
2010-06-24 00:00:00
2010-07-27 00:00:00
2010-08-25 00:00:00
2010-09-27 00:00:00
2010-10-27 00:00:00
2010-11-24 00:00:00
2010-12-23 00:00:00
2011-01-27 00:00:00
2011-02-25 00:00:00
2011-03-24 00:00:00
2011-04-26 00:00:00
2011-05-25 00:00:00
2011-06-24 00:00:00
2011-07-27 00:00:00
2011-08-24 00:00:00
2011-09-27 00:00:00
2011-10-27 00:00:00
2011-11-28 00:00:00
2011-12-23 00:00:00
2012-01-27 00:00:00
2012-02-27 00:00:00
2012-03-26 00:00:00
2012-04-25 00:00:00
2012-05-24 00:00:00
2012-06-26 00:00:00
2012-07-26 00:00:00
2012-08-24 00:00:00
2012-09-27 00:00:00
2012-10-25 00:00:00
2012-11-29 00:00:00
2012-12-28 00:00:00
2013-01-28 00:00:00
2013-02-27 00:00:00
2013-03-26 00:00:00
2013-04-24 00:00:00
2013-05-24 00:00:00
2013-06-26 00:00:00
2013-07-25 00:00:00
2013-08-26 00:00:00
2013-09-26 00:00:00
2013-11-27 00:00:00
2013-12-24 00:00:00
2014-01-28 00:00:00
2014-02-27 00:00:00
2014-03-26 00:00:00
2014-04-24 00:00:00
2014-05-27 00:00:00
2014-06-25 00:00:00
2014-07-25 00:00:00
2014-08-26 00:00:00
2014-09-25 00:00:00
Spreadsheet: 1bd4879c-137f-4fba-9535-c9c186294e33
Sheet: Sheet1

Table 1--U.S. rice supply and use  1/ | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7
Item | 2005/06 | 2006/07 | 2007/08 | 2008/09 | 2009/10 | 2010/11 | 2011/12
 |  |  |  |  |  |  | 2/
TOTAL RICE |  |  |  | Million acres
Area:
Planted | 3.384 | 2.838 | 2.761 | 2.995 | 3.135 | 3.636 | 2.693
Harvested | 3.364 | 2.821 | 2.748 | 2.976 | 3.103 | 3.615 | 2.624
 |  |  |  | Pounds per harvested acre
Yield | 6624 | 6898 | 7219 | 6846 | 7085 | 6725 | 7167
 |  |  |  | Million cwt
Beginning stocks | 37.71 | 42.992 | 39.315 | 29.492 | 30.419 | 36.499 | 48.467
Production | 222.833 | 194.585 | 198.388 | 203.733 | 219.85 | 243.104 | 188.1
Imports | 17.134 | 20.581 | 23.9 | 19.218 | 19.019 | 18.336 | 19
Total supply | 277.677 | 258.158 | 261.603 | 252.443 | 269.288 | 297.939 | 255.5
Food, industrial,
& residual 3/ | 116.329 | 124.671 | 123.152 | 123.77 | 120.012 | 134.502 | -
Seed | 3.503 | 3.408 | 3.697 | 3.87 | 4.488 | 3.324 | -
Total domestic use | 119.832 | 128.079 | 126.849 | 127.64 | 124.5 | 137.826 | 127
Exports | 114.853 | 90.764 | 105.262 | 94.384 | 108.341 | 111.646 | 91
Rough | 33.449 | 32.112 | 37.663 | 31.633 | 40.351 | 34.896 | 34
Milled 4/ | 81.404 | 58.652 | 67.599 | 62.751 | 67.953 | 76.75 | 57
Total use | 234.685 | 218.843 | 232.111 | 222.024 | 232.841 | 249.472 | 218
Ending stocks | 42.992 | 39.315 | 29.492 | 30.419 | 36.499 | 48.46700000000004 | 37.5
 |  |  |  | Percent
Stocks-to-use ratio | 18.31902337175363 | 17.96493376530206 | 12.70598980660115 | 13.70077108781033 | 15.67550388462513 | 19.42783158029761 | 17.20183486238532
 |  |  |  | $/cwt
Average farm |  |  |  |  |  |  | 14.00 to
price 5/ | 7.65 | 9.96 | 12.8 | 16.8 | 14.4 | 12.7 | 15
 |  |  |  | Percent
Average
milling rate | 70.25 | 71 | 69.88 | 70.83 | 71.53 | 68.86 | 70.75
N/A = not available.  1/ August-July market year; rough equivalent.  2/ Projected.  3/ Residual includes unreported
use, processing losses, and estimating errors.  4/  Rough-rice equivalent.  5/ Market-year weighted average.
Source: World Agricultural Supply and Demand Estimates, WAOB, USDA.
Updated December 12, 2011.
Spreadsheet: chris_germany__2890__Enron Supply - TGP
Sheet: Tenn

TGP SUPPLY FROM ENRON
From:  [NAME]  [PHONE]
To:  [NAME] ([EMAIL]), [NAME] ([EMAIL])
Phone:   [PHONE]  clarissa
Phone:  [PHONE]  [NAME]
Fax:   [PHONE]
 |  | Tennessee
LDC | MTR # | CONTRACT #
 |  |  | 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 | TOTAL
Bay State | 020193 | 2025 | 31 | 0
 |  | 31333 |  | 31 |  |  | 0
 |  | 21589 |  |  |  |  | 31 |  |  | 31
Berkshire | 020292 | 2025 | 50 | 0
 |  | 31333 |  |  | 50 |  | 0
 |  | 21589 |  |  |  |  | 50 |  |  | 50
Boston | 020118 | 2025 | 75 | 0 | 0
 |  | 31333 |  | 97 | 87 |  | 97 | 97 | 97 | 89
 |  | 21589
Ct. Natural | 020205 |  | 0 | 0
No. Utilities | 020206 | 2025 | 353 | 0 |  |  |  |  |  | 353
 |  | 31333 |  | 353 |  |  | 0
 |  | 21589 |  |  |  |  | 353
So. Conn. | 020126 | 32295 | 571 | 0 |  |  |  |  |  | 1200 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Please let me know [NAME] if you can supply this gas
Yankee | 020125 |  | 0
Yankee | 020127 |  | 0
Spreadsheet: 85097d1285162066-automatically-updating-multiple-sheets-to-a-master-sheet-finance20sheet20-20test-1-
Sheet: Project A

Project A
Date | [NAME] | Invoice Number | Cheque No. | Paying In Slip No. | £           Inc | £                              Exp | £                  Bal
2010-08-07 00:00:00 | money | 1 | 3 | 4 | 200 | 100 | 100
 |  |  |  |  |  |  | 100
 |  |  |  |  |  |  | 100
 |  |  |  |  |  |  | 100
 |  |  |  |  |  |  | 100
 |  |  |  |  |  |  | 100
 |  |  |  |  |  |  | 100
 |  |  |  |  |  |  | 100
 |  |  |  |  |  |  | 100
 |  |  |  |  |  |  | 100
 |  |  |  |  |  |  | 100
 |  |  |  |  |  |  | 100
 |  |  |  |  |  |  | 100
 |  |  |  |  |  |  | 100
 |  |  |  |  |  |  | 100
 |  |  |  |  |  |  | 100
 |  |  |  |  |  |  | 100
 |  |  |  |  |  |  | 100
 |  |  |  |  |  |  | 100
 |  |  |  |  |  |  | 100
 |  |  |  |  |  |  | 100
 |  |  |  |  |  |  | 100
 |  |  |  |  |  |  | 100
 |  |  |  |  |  |  | 100
 |  |  |  |  |  |  | 100
 |  |  |  |  |  |  | 100
 |  |  |  |  |  |  | 100
 |  |  |  |  |  |  | 100
 |  |  |  |  | 200 | 100 | 200
Spreadsheet: 758619d1638973896-index-match-help-sample-excel
Sheet: Desired output

Name | [NAME] | Course Name | Course Number | Started | Finished | Status | Score
Heath Moon | [EMAIL] | Painting | 123 | 2020-12-08 00:00:00 | 2020-12-08 00:00:00 | Complete | 0.5
[NAME] | [EMAIL] | Painting | 123 | 2020-12-10 00:00:00 | 2020-12-10 00:00:00 | Complete | 0.52
Heath Moon | [EMAIL] | Running | 321 | 2020-12-12 00:00:00 | 2020-12-12 00:00:00 | Complete | 0.54
[NAME] | [NAME] | Painting | 123 | 2020-12-10 00:00:00 | 2020-12-10 00:00:00 | Complete | 0.52
[NAME] | [EMAIL] | Running | 321 | 2020-12-14 00:00:00 | 2020-12-14 00:00:00 | Complete | 0.56
Heath Moon | [EMAIL] | Weights | 852 | 2020-12-16 00:00:00 | 2020-12-16 00:00:00 | Complete | 0.58
[NAME] | [EMAIL] | Weights | 852 | 2020-12-18 00:00:00 | 2020-12-18 00:00:00 | Complete | 0.6
Spreadsheet: 816574d1675706722-extract-highest-values-and-other-details-in-diffrent-tables-book2
Sheet: Sheet2

 | Emp Name | 2001 | 2002 |  |  | Top1 | Top2 | Top3 |  |  |  | Objective is find top 3 values in 3 tables
 | Chakrapani | 100 | 387 |  | Employee Name |  |  |  |  |  |  | Followed by year and employee name
 | Minakshi | 1002 | 990 |  | Year
 | Poornima | 721 | 1000 |  | Highest Revenue |  |  |  |  |  |  | Range Names
 |  |  |  |  |  |  |  |  |  |  |  | Table1 |  | B1:D4
 | Emp Name | 2001 | 2002 |  |  |  |  |  |  |  |  | Table2 |  | B6:D10
 | Asha | 40 | 960 |  |  |  |  |  |  |  |  | Table3 |  | B13:D19
 | Kamakshi | 497 | 800
 | Maryam | 961 | 960 |  |  | =index((EMP_1,EMP_2,EMP_3), match(G4, |  |  |  |  |  | YEARDATA |  | C2:D2
 | Shreya | 87 | 825
 |  |  |  |  |  | INDEX((EMP_1,EMP_2,EMP_3),MATCH(G4,(REV_1,REV_2,REV_3),0)) |  |  |  |  |  | EMP_1 |  | B2:B4
 |  |  |  |  |  |  |  |  |  |  |  | EMP_2 |  | B7:B10
 | Emp Name | 2001 | 2002 |  |  |  |  |  |  |  |  | EMP_3 |  | B14:B19
 | Ananda | 652 | 616
 | [NAME] | 267 | 507 |  |  | =sumproduct((rev_1=G4),(rev_2=G4),(rev_3=G4)
 | Ninad | 2003 | 135 |  |  |  |  |  |  |  |  | REV_1 |  | C2:D4
 | Sandeep | 40 | 790 |  |  |  |  |  |  |  |  | REV_2 |  | C7:D10
 | [NAME] | 651 | 511 |  |  |  |  |  |  |  |  | REV_3 |  | C14:[NAME]
 | Aparna | 268 | 589
 |  |  |  |  |  |  |  |  |  |  |  | FULL_DATA |  | B1:[NAME]
Spreadsheet: d1f880d2-1271-49ff-a466-8707ba00d259
Sheet: Sheet1

PROG ID | ATHLETE ID | ATHLETE FIRST | ATHLETE LAST | NATIONALITY | START NUMBER | SWIM | T1 | BIKE | T2 | RUN | POSITION | TOTAL TIME
2135 | 6150 | [NAME] | [NAME] | CHI | 0 | 00:00:00 | 00:00:00 | 00:00:00 | 00:00:00 | 00:00:00 | 1 | 02:05:31
2135 | 6047 | Ana [NAME] | [NAME] | ARG | 0 | 00:00:00 | 00:00:00 | 00:00:00 | 00:00:00 | 00:00:00 | 2 | 02:08:04
2135 | 6151 | [NAME] | Vyhmeister | CHI | 0 | 00:00:00 | 00:00:00 | 00:00:00 | 00:00:00 | 00:00:00 | 3 | 02:11:23
2135 | 9913 | Danisa | Cremaschi | CHI | 0 | 00:00:00 | 00:00:00 | 00:00:00 | 00:00:00 | 00:00:00 | 4 | 02:21:25
2135 | 9915 | Fernanda | Bau | BRA | 0 | 00:00:01 | 00:00:00 | 00:00:00 | 00:00:00 | 00:00:00 | DNF | 00:00:00
2135 | 9925 | Favia | [NAME] | CHI | 0 | 00:00:01 | 00:00:00 | 00:00:00 | 00:00:00 | 00:00:00 | DNF | 00:00:00
2135 | 6213 | [NAME] | Morales | COL | 0 | 00:00:01 | 00:00:00 | 00:00:00 | 00:00:00 | 00:00:00 | DNF | 00:00:00
2135 | 9916 | Catalina | [NAME] | CHI | 0 | 00:00:00 | 00:00:00 | 00:00:00 | 00:00:00 | 00:00:00 | DNS | 00:00:00
Spreadsheet: 119296d1314302311-search-for-multiple-text-options-searchproblem
Sheet: Book1

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DOMAIN |  | Subject:
10.135.3.33 |  | Security ID:		NULL SID
word1 |  | Account Name:		-
word2 |  | Account Domain:		-
word3 |  | Logon ID:		0x0
word4
word5 |  | Logon Type:			3
word6
 |  | New Logon:
 |  | Security ID:		DOMAIN\SERVERNAME$
 |  | Account Name:		SERVERNAME$
 |  | Account Domain:		DOMAIN
 |  | Logon ID:		0x903db76
 |  | Logon GUID:		{5B737622-60D6-F57D-FAD6-A64FBC1F87A3}
 |  | Process Information:
 |  | Process ID:		0x0
 |  | Process Name:		-
 |  | Network Information:
 |  | Workstation Name:
 |  | Source Network Address:	10.135.3.33
 |  | Source Port:		4057
 |  | Detailed Authentication Information:
 |  | Logon Process:		Kerberos
 |  | Authentication Package:	Kerberos
 |  | Transited Services:	-
 |  | Package Name (NTLM only):	-
 |  | Key Length:		0
 |  | This event is generated when a logon session is created. It is generated on the computer that was accessed.
 |  | The subject fields indicate the account on the local system which requested the logon. This is most commonly a service such as the Server service, or a local process such as Winlogon.exe or [NAME].
 |  | The logon type field indicates the kind of logon that occurred. The most common types are 2 (interactive) and 3 (network).
 |  | The New Logon fields indicate the account for whom the new logon was created, i.e. the account that was logged on.
 |  | The network fields indicate where a remote logon request originated. Workstation name is not always available and may be left blank in some cases.
 |  | The authentication information fields provide detailed information about this specific logon request.
 |  | - Logon GUID is a unique identifier that can be used to correlate this event with a KDC event.
 |  | - Transited services indicate which intermediate services have participated in this logon request.
 |  | - Package name indicates which sub-protocol was used among the NTLM protocols.
 |  | - Key length indicates the length of the generated session key. This will be 0 if no session key was requested."
 |  | Special privileges assigned to new logon.
 |  | Subject:
 |  | Security ID:		DOMAIN\SERVERNAME$
 |  | Account Name:		SERVERNAME$
 |  | Account Domain:		DOMAIN
 |  | Logon ID:		0x903db76
 |  | Privileges:		SeLoadDriverPrivilege"
 |  | An account was logged off.
 |  | Subject:
 |  | Security ID:		DOMAIN\SERVERNAME$
 |  | Account Name:		SERVERNAME$
 |  | Account Domain:		DOMAIN
 |  | Logon ID:		0x8fae8a8
 |  | Logon Type:			3
 |  | This event is generated when a logon session is destroyed. It may be positively correlated with a logon event using the Logon ID value. Logon IDs are only unique between reboots on the same computer."
Spreadsheet: 0a71ad34-dc97-4f8e-a2f3-761ca6c51700
Sheet: Sheet1

Unnamed: 0 | BROCK FACTS 2010 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8
 | Enrollment, Library, & Residences
 | Enrollment
 | Library
 | OSAP
 | Residences
 | ENROLLMENT
 | Headcount (November 1, 2010)
 |  |  | Undergraduate |  | Graduate | Total
 | Full-Time |  | 14077 |  | 932 | 15009 |  | 0.8395703977177379
 | Part-Time |  | 2264 |  | 604 | 2868 |  | 0.1604296022822621
 |  |  | 16341 |  | 1536 | 17877
 | Male |  | 6904 |  | 543 | 7447 |  | 0.41656877552162
 | Female |  | 9437 |  | 993 | 10430 |  | 0.58343122447838
 | Origin of International Students (Excl. Permanent Residents)
 |  |  | Undergraduate |  | Graduate | Total
 | Asia |  | 660 |  | 307 | 967 |  | 0.7644268774703558
 | Europe |  | 92 |  | 17 | 109 |  | 0.08616600790513834
 | Africa |  | 50 |  | 20 | 70 |  | 0.05533596837944664
 | North America |  | 24 |  | 16 | 40 |  | 0.03162055335968379
 | C&S Ame.&Caribbean |  | 61 |  | 6 | 67 |  | 0.05296442687747036
 | Oceania |  | 12 |  |  | 12 |  | 0.009486166007905139
 | Other |  |  |  |  |  |  | 0
 | Total: |  | 899 |  | 366 | 1265 |  | 1
 | Origin of New Full-Time Year I Undergraduates (Fall 2010)
 | Region |  | 101s* |  | Other | Total
 | [NAME] |  | 0.272 |  | 0.398 | 0.298
 | GTA |  | 0.378 |  | 0.207 | 0.342
 | Rest of Ontario |  | 0.349 |  | 0.271 | 0.333
 | Rest of Canada |  | 0 |  | 0.038 | 0.008
 | Outside Canada |  | 0.001 |  | 0.085 | 0.019
 | Unknown |  | 0 |  | 0 | 0
 | Total: |  | 1 |  | 1 | 1
 | *from Secondary School
 | Go back to top
 | MTCU Performance Indicators (2009)
 |  |  |  |  | Brock | System*
 | Employment Rate (6 Months) |  |  |  | 0.924 | 0.941
 | Employment Rate (2 Years) |  |  |  | 0.954 | 0.957
 | Graduation Rate |  |  |  | 0.786 | 0.783
 | * Provincially-Funded Ontario Universities
 | Go back to top
 | [NAME]
 |  |  | # of |  | Number | Success |  | % of
 |  |  | Applicants |  | Awarded | Rate |  | FT Students
 | 2008-09 |  | 5534 |  | 4754 | 0.859053126129382 |  | 0.347286142157937
 | 2009-10 |  | 6486 |  | 5404 | 0.8331791551032994 |  | 0.3734107241569928
 | 2010-11 |  | 6749 |  | 5754 | 0.8525707512224033 |  | 0.3833699780131921
 | Go back to top
 | [NAME] HOLDINGS (April 2010)
 | Books and Government Publications (# [NAME]) |  |  |  |  |  |  | 826651
 | E-books (# titles) |  |  |  |  |  |  | 572291
 | E-journals (# titles) |  |  |  |  |  |  | 28678
 | Print Journals (# titles) |  |  |  |  |  |  | 520
 | Microforms (# pieces) |  |  |  |  |  |  | 669351
 | Sound and Video Recordings (# titles) |  |  |  |  |  |  | 31832
 | Maps (# pieces) |  |  |  |  |  |  | 48125
 | Air Photos (# pieces) |  |  |  |  |  |  | 16952
 | Total: |  |  |  |  |  |  | 2194400
 | Go back to top
 | RESIDENCE BEDS (November 2010)
 | DeCew, Vallee & Earp Residences (traditional) |  |  |  |  |  |  | 920
 | Village Residence (townhouses) |  |  |  |  |  |  | 868
 | [NAME] (townhouses) |  |  |  |  |  |  | 290
 | [NAME] (traditional) |  |  |  |  |  |  | 311
 | Total: |  |  |  |  |  |  | 2389
 | Go back to top