tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 468391d1467275025-extract-data-from-columns-where-a-row-is-not-n-a-sample-3-
Sheet: Raw DAta

Notes
This is the format the data is run
I want to extract the columns where Row 11 is NOT #N/A
Raw data does NOT have blue highlights, I just want to
 |  |  |  |  |  |  |  |  |  |  | A | AA | AAA | AAAA | AAAA | AAAAAA | AAAAAA | AAAAA | AAA | AAAAAA |  |  | AAA
#N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | B | #N/A | #N/A | #N/A | #N/A | #N/A | BB | BBB | BBBB | BBBBB | #N/A | #N/A | BBBBB | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A
 |  |  |  |  |  |  |  |  |  |  | CCC | CCC | CCC | CCC | CCC | CCC | CCC | CCC | CCC | CCC |  |  | CCC
A | AAAAAA | AAAAA | AAA | AAAAAA | AAA
B | BB | BBB | BBBB | BBBBB | BBBBB
CCC | CCC | CCC | CCC | CCC | CCC
 | Desired Outcome
Spreadsheet: 374bbd9c-77e0-433b-b0ae-2a8f9a7c44e1
Sheet: 14c

 | Swap Dealers/MSPs4 |  | Others
Product1 | Cleared2 | Uncleared | Cleared | Uncleared
Index Tranche | - | - | - | -
Index/OTHER* | 703 | 168 | 813 | 196
TOTAL | 703 | 168 | 813 | 196
*OTHER variable includes exotic credit products, swaptions, and total return swaps.
Spreadsheet: 83556d1283519713-order-horizontal-lines-by-skipping-empty-cells-example
Sheet: Sheet1

1 | RICHARD
2 |  | TOM | MIKE
3 | SANDRA | SAM | [NAME] | [NAME]
4 |  |  | PETER
5 | [NAME] | NICK |  | STEVE
6 | a |  | b | c
7 | word1 |  | word2 | word3
Spreadsheet: 862028d1709823599-need-help-with-formula-book1
Sheet: Sheet1

M-EID | Full Name | Notified | Segment | Segment Definition | Reason | OVR | Mo | Day | Date | Start-AZ | End-AZ | Lunch | Hours | Decimal | UTO Hrs | Daily Hrs | Total Hrs |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2024-01-01 00:00:00
57402 | [NAME] | Yes | LATE | Late-Arrival, Lunch, Break | Dependent Care | No | Jan-24 | Tue | 2024-01-02 00:00:00 | 10:00:00 | 11:00:00 | 00:00:00 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2024-03-31 00:00:00 |  | 04:00:00
57402 | [NAME] | Yes | LATE | Late-Arrival, Lunch, Break | Personal | No | Jan-24 | Tue | 2024-01-02 00:00:00 | 10:00:00 | 11:00:00 | 00:00:00 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2024-06-30 00:00:00 |  | 0.5
57402 | [NAME] | Yes | ULE | Unplanned Leave Early | Personal | No | Jan-24 | Tue | 2024-01-02 00:00:00 | 10:00:00 | 12:00:00 | 00:00:00 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2024-09-30 00:00:00 |  | 1
57402 | [NAME] | No | NCNS | No Call No Show | Personal | No | Jan-24 | Fri | 2024-01-12 00:00:00 | 10:00:00 | 12:00:00 | 00:00:00 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2024-12-31 00:00:00
57402 | [NAME] | Yes | LATE | Late-Arrival, Lunch, Break | OUT-IN_Internet no/Doc | No | Jan-24 | Mon | 2024-01-15 00:00:00 | 10:00:00 | 12:00:00 | 00:00:00
57402 | [NAME] | Yes | ABS | Absence-Full Day | Personal | No | Feb-24 | Thu | 2024-02-15 00:00:00 | 08:00:00 | 16:30:00 | 00:30:00
57402 | [NAME] | Yes | ABS | Absence-Full Day | Personal | No | Feb-24 | Fri | 2024-02-16 00:00:00 | 08:00:00 | 16:30:00 | 00:30:00
57402 | [NAME] | Yes | LATE | Late-Arrival, Lunch, Break | Personal | No | Feb-24 | Mon | 2024-02-19 00:00:00 | 10:00:00 | 11:30:00 | 00:00:00
533928 | [NAME] | Yes | ABS | Absence-Full Day | Sick-No PSL | No | Jan-24 | Tue | 2024-01-02 00:00:00 | 07:30:00 | 16:00:00 | 00:30:00
533928 | [NAME] | Yes | ABS | Absence-Full Day | Sick-No PSL | No | Feb-24 | Wed | 2024-02-28 00:00:00 | 07:30:00 | 16:00:00 | 00:30:00
533928 | [NAME] | Yes | LATE | Late-Arrival, Lunch, Break | Personal | No | Mar-24 | Fri | 2024-03-01 00:00:00 | 07:30:00 | 07:52:00 | 00:00:00
Spreadsheet: louise_kitchen__24136__North America Plan 01-08 adj
Sheet: East - Orig

 | East Gas - Orig
 | 2002 Plan
 |  |  |  |  |  |  |  |  | Per HC | New HC | Adjust Comp
 |  | 2001-09-01 00:00:00 |  | 2001 |  | % | 2002
 |  | YTD Actual |  | Forecast |  | of Total | Plan
ENACOMP | Compensation |  |  |  |  |  | 681120 | Compensation | 0
 | Special Pays |  |  | 0 |  |  | 0
 | Analyst & Associates |  |  |  |  |  | 0
ENABENTX | Benefits & Payroll Taxes |  |  |  |  |  | 140304 | Other
ENAEMPEX | Employee Expense |  |  |  |  |  | 36000
ENAT&EEX | Travel & Entertainment Expense |  |  |  |  |  | 270000 | Total
ENAOUTSV | Outside Services |  |  |  |  |  | 0
ENASUPP | Supplies Expense |  |  |  |  |  | 24000
ENAMKTEX | Marketing |  |  |  |  |  | 0 | Intern | 33000
ENACONTR | Charitable Contributions |  |  |  |  |  | 6000 | [NAME] | 48400 | 0
ENARENT | Rent |  |  |  |  |  | 0 | Staff | 49500 | 0
ENATECH | Technology |  |  |  |  |  | 24000 | Specialist | 57750 | 0
ENATRANS | Transportation |  |  |  |  |  | 0 | Sr. Specialist | 71500 | 0
ENAOTHEX | Other Expenses |  |  |  |  |  | 6782.4 | Analyst | 60500 | 0
ENATAXES | Taxes Other than Income |  |  |  |  |  | 0 | Associate | 89100 | 0
ENATOTDR | Total Direct Expenses |  |  |  |  |  |  | Manager | 110000 | 1
 |  |  |  |  |  |  |  | Director | 143000
 | Headcount |  |  |  |  |  |  | Sr. Director | 165000 | 0
 |  |  |  |  |  |  |  | VP | 198000 | 1
 | A&A Headcount |  |  |  |  |  |  | MD | 220000 | 0
 | Total Headcount |  |  |  |  |  |  |  |  |  | 0.2
 |  |  |  |  |  |  | Other Expense Calculation
 | Outside Services | 254512
 |  |  |  |  |  |  | Total Misc Exp | Old HC | Exp/Old HC | New HC | Exp/New HC
Spreadsheet: 202775d1356721621-have-letters-represent-numbers-but-a-little-more-complicated-values
Sheet: Sheet1

 |  | (User Input) | (User Input) | (Computer Calc)
L=1 |  | Price | Quantity | Total
U=2 | Example: What I want to happen ---> | LCU | 2 | 2.64
C=3 | Decimal always before the last two letters | UC | 1 | 0.23
S=4 | LCU = L.CU   UC = .UC | TTTT | 1 | 66.66
K=5 | Would prefer not to actually type in the decimals | CCC | 3 | 9.99
T=6 |  | TRI | 1 | 6.78
R=7 |  | PP | 1 | 0.99
I=8 | 1. User inputs codes/price like so
P=9 | 2. User inputs quantity
E=0 | 3. Excel calculates price * quantity to get total
Spreadsheet: a47f918f-840d-4baa-8aa6-ab5e6497a300
Sheet: Sheet1

electronica 2010 - List of exhibitors | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5
 | Search by product and service index (31 Entries):
 | 5 Sensor technology 5.6 Sensors for optical and acoustic parameters
No. | Company | Country | City | [NAME] | Hall/Booth
1 | ABS Gesellschaft für [NAME], Bildverarbeitung und Software mbH | Germany | Jena | 07747 | A6.607
2 | Brüel & Kjaer GmbH | Germany | Bremen | 28359 | A1.467
3 | CiS Forschungsinstitut für Mikrosensorik und Photovoltaik GmbH | Germany | Erfurt | 99099 | A2.334
4 | ELTROTEC Sensor GmbH | Germany | Uhingen | 73066 | A2.325
5 | EPCOS AG, A Group Company of TDK-EPC Corporation | Germany | München | 81669 | B5.506
6 | FIXTEST Prüfmittelbau GmbH | Germany | Engen | 78234 | A1.532
7 | Fraunhofer-Institut für Integrierte Schaltungen IIS | Germany | Erlangen | 91058 | A5.221
8 | Fraunhofer-Institut für Photonische Mikrosysteme IPMS | Germany | Dresden | 01109 | A5.221
9 | Hamamatsu Photonics Deutschland GmbH | Germany | Herrsching | 82211 | A2.315
10 | [NAME] | Germany | Dresden | 01109 | A2.317
11 | IL Metronic Sensortechnik GmbH | Germany | Unterpörlitz | 98693 | A2.326/1
12 | JonDeTech AB | Sweden | Uppsala | 751 43 | A2.120
13 | Lite-On Technology (Europe) B.V. German Branch | Germany | [NAME] | 24103 | A3.525
14 | Magnetic Shields Ltd | United Kingdom | Staplehurst, [NAME] | TN12 0DS | B6.127
15 | MAZeT GmbH | Germany | Jena | 07745 | A4.575
16 | MetraLabs GmbH Neue Technologien und Systeme | Germany | Ilmenau | 98693 | A2.557
17 | MEV Elektronik Service GmbH | Germany | Hilter | 49176 | A4.260
18 | Micro-Epsilon Messtechnik GmbH & Co. KG | Germany | Ortenburg | 94496 | A2.325
19 | Microsemi Corp. | Ireland | Ennis | Co. [NAME] | A4.525
20 | [NAME] GmbH | Germany | Haar | 85540 | B6.105
21 | PREMA Semiconductor GmbH | Germany | [NAME] | 55129 | A4.406
22 | REINHARDT System- und Messelectronic GmbH | Germany | Dießen | 86911 | A1.401
23 | ROHM Semiconductor GmbH | Germany | Willich | 47877 | A5.542
24 | Silicon Micro Sensors GmbH | Germany | Dresden | 01099 | A2.307
25 | Silicon Sensor International AG | Germany | Berlin | 12459 | A2.307
26 | Stapelfeldt electronic GmbH | Germany | Hamburg | 22559 | A2.332
27 | TAOS Inc. (Texas Advanced Optoelectronic Solutions, Incorporated | USA | Plano | TX 75074 | A4.221
28 | TDK Electronics Europe GmbH | Germany | [NAME] | 40472 | B5.506
29 | TDK-EPC Corporation, A Group Company of TDK Corporation, c/o EPCOS AG | Germany | München | 81669 | B5.506
30 | TEFAG Elektronik AG | Switzerland | Mels | 8887 | B5.373
31 | vario-optics AG | Switzerland | Heiden | 9410 | B1.634
Spreadsheet: 109559d1306390313-show-rows-that-have-value-in-column-a-or-column-b-sample-travel-schedule
Sheet: Sheet1

Name | Date of Arrival | Flight # | Flight arrival time | Date of Return | Flight # | Flight departure time
[NAME] | 2011-05-22 00:00:00 | AC6767 | 900 | 2011-05-25 00:00:00 | AC9090 | 1300
[NAME] | 2011-05-22 00:00:00 | AC6767 | 900 | 2011-05-28 00:00:00 | AC9096 | 1600
[NAME] | 2011-05-24 00:00:00 | AC6769 | 1400 | 2011-05-25 00:00:00 | AC9090 | 1300
Kitty | 2011-05-25 00:00:00 | AC6767 | 1200 | 2011-05-30 00:00:00 | AC9094 | 1900
[NAME] | 2011-05-25 00:00:00 | AC6767 | 1200 | 2011-05-30 00:00:00 | AC9094 | 1900
[NAME] | 2011-05-26 00:00:00 | AC6772 | 900 | 2011-05-28 00:00:00 | AC9097 | 900
Spreadsheet: 718202d1613043070-multiple-conditions-based-on-date-ranges-test
Sheet: Lapsing Houses

ID | Name | Lapsed Date | Period | Reason | Happening | Lapsed (Y/N) |  |  |  |  | Month/ Period | Total Projected Lapses | Total Actual | Target | PERIOD END
EXAMPLE | TEST | 2020-11-26 00:00:00 |  |  |  | N
 |  |  |  |  |  | N |  |  |  |  | 2020-10-01 00:00:00 |  |  | 4 | 30/10/2020
 |  |  |  |  |  | N |  |  |  |  | 2020-11-01 00:00:00 |  |  | 8 | 27/11/2020
 |  |  |  |  |  | N |  |  |  |  | 2020-12-01 00:00:00 |  |  | 10 | 2021-01-01 00:00:00
 |  |  |  |  |  | N |  |  |  |  | 2021-01-01 00:00:00 |  |  | 7 | 29/01/2021
 |  |  |  |  |  | N |  |  |  |  | 2021-02-01 00:00:00 |  |  | 9 | 26/02/2021
 |  |  |  |  |  | N |  |  |  |  | 2021-03-01 00:00:00 |  |  | 9 | 2021-03-04 00:00:00
 |  |  |  |  |  | N |  |  |  |  | 2021-04-01 00:00:00 |  |  | 2 | 30/04/2021
 |  |  |  |  |  | N |  |  |  |  | 2021-05-01 00:00:00 |  |  | 5 | 28/05/2021
 |  |  |  |  |  | N |  |  |  |  | 2021-06-01 00:00:00 |  |  | 4 | 2021-07-07 00:00:00
 |  |  |  |  |  | N |  |  |  |  | 2021-07-01 00:00:00 |  |  | 3 | 30/07/2021
EXAMPLE |  |  |  |  |  | N |  |  |  |  | 2021-08-01 00:00:00 |  |  | 2 | 27/08/2021
 |  |  |  |  |  | N |  |  |  |  | 2021-09-01 00:00:00 |  |  | 4 | 2021-10-01 00:00:00
 |  |  |  |  |  | N |  |  |  |  | Total
 |  |  |  |  |  | N
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Spreadsheet: 937b8a68-3232-40cb-9fc3-44b93a82625d
Sheet: Adjustment Factors

 | BIF Standard Adjustment Factors for Birth and Weaning Weight
 | [NAME] 8th Edition Guidelines for Uniform Beef Improvement
 | Age of Dam | Birth | Weaning Weight
 | at Birth of Calf | Weight | Male | Female
 | 2 | 8 | 60 | 54
 | 3 | 5 | 40 | 36
 | 4 | 2 | 20 | 18
 | 5 | 0 | 0 | 0
 | 6 | 0 | 0 | 0
 | 7 | 0 | 0 | 0
 | 8 | 0 | 0 | 0
 | 9 | 0 | 0 | 0
 | 10 | 0 | 0 | 0
 | 11 | 3 | 20 | 18
 | 12 | 3 | 20 | 18
 | 13 | 3 | 20 | 18
 | 14 | 3 | 20 | 18
 | 15 | 3 | 20 | 18
 | 16 | 3 | 20 | 18
 | 17 | 3 | 20 | 18
 | 18 | 3 | 20 | 18
 | 19 | 3 | 20 | 18
 | 20 | 3 | 20 | 18
 | Standard Birth Weights
 | Male | 75
 | Female | 70
Spreadsheet: 138685d1327834139-calculate-total-sums-from-multiple-text-entries-example-monthly-expenses-tracking
Sheet: Auto-Rent Insurance

 | American Family | Progressive.com | Nationwide | Geico.com | Allstate.com | Amica.com | Farmers | State Farm
Auto per month | 190.96 | 143.16 | 163.92 | 147.88 | 153 | 289.67
Renters per month | 20.71 | 34 | 24.8 | 0 | 21 | 0
6 Month Total | 1270.02 | 1062.96 | 1132.32 | 887.28 | 1044 | 1738.02 | 0 | 0
1 Year Total | 2540.04 | 2125.92 | 2264.64 | 1774.56 | 2088 | 3476.04 | 0 | 0
Per Month Savings | 0 | 34.51000000000002 | 22.95000000000002 | 63.79000000000002 | 37.67000000000002 | -78 | 211.67 | 211.67
Per Year Savings | 0 | 414.1199999999999 | 275.4000000000001 | 765.48 | 452.04 | -936 | 2540.04 | 2540.04
 | Monthly Total | Monthly Total | Monthly Total | Monthly Total | Monthly Total | Monthly Total | Monthly Total | Monthly Total
2003 Ford Windstar | 49.56 | 55.5
2006 Ford Taurus | 23.7 | 41.5
1997 Geo Prism | 117.7 | 33.84
Renters Insurance | 20.71 | 34 | 24.8 | 0 | 21 | 0
Total | 211.67 | 164.84 | 24.8 | 0 | 21 | 0 | 0 | 0
Spreadsheet: 169091d1342699676-updating-one-sheet-from-another-report
Sheet: Not Formatted

Ref | Equipment | Cost | Department | Start | Notice | End | Notes
123 |  |  | IT | 2005-02-01 00:00:00 | 2012-10-31 00:00:00 | 2013-01-31 00:00:00 | Terminate
124 |  |  | Legal | 2004-06-05 00:00:00 | 2014-03-04 00:00:00 | 2014-09-04 00:00:00 | Extend
125 |  |  | IT | 2004-05-03 00:00:00 | 2013-04-02 00:00:00 | 2013-05-02 00:00:00
126 |  |  | Sales | 2012-06-28 00:00:00 | 2018-03-07 00:00:00 | 2018-08-27 00:00:00
1237 |  |  | Sales | TBC | TBC | TBC
1235 |  |  | Sales | TBC | TBC | TBC
Spreadsheet: 781214d1653062481-need-help-with-pulling-data-from-one-sheet-to-another-using-index-requiredtraining2022-test
Sheet: Dashboard

Select Supervisor Below | SupervisorList |  | Employee Name | Class1 | Class2 |  | Monday1End | Monday2End | Tuesday1End | Tuesday2End | Wednesday1End | Wednesday2End | Thursday1End | Thursday2End | [NAME] | Friday2End
Supervisor, [NAME] | Supervisor, [NAME]
 | Supervisor, [NAME]
Spreadsheet: 713330d1610648118-string-comparison-exceltestbench-gk
Sheet: Segments

Segment | Length (in) | Length (ft)
A | 1
B | 2
C | 3
D | 4
 | 5
 | 8
Spreadsheet: 549816d1511946519-how-to-merge-2-tables-example
Sheet: Sheet1

Personal ID | Number of Date | Number of Shareholders | Expected Value Date | Expected Value Shareholders |  |  | Personal ID | Date |  | Personal ID | Shareholders
X | 3 | 4 | M | A |  |  | X | M |  | X | A
X | 3 | 4 | M | B |  |  | X | M+1 |  | X | B
X | 3 | 4 | M | C |  |  | X | M+2 |  | X | C
X | 3 | 4 | M | D |  |  | Y | M |  | X | D
X | 3 | 4 | M+1 | A |  |  | Y | M+24 |  | Y | K
X | 3 | 4 | M+1 | B |  |  |  |  |  | Y | L
X | 3 | 4 | M+1 | C |  |  |  |  |  | Y | M
X | 3 | 4 | M+1 | D |  |  |  |  |  | Y | N
X | 3 | 4 | M+2 | A |  |  |  |  |  | Y | O
X | 3 | 4 | M+2 | B
X | 3 | 4 | M+2 | C
X | 3 | 4 | M+2 | D
Y | 2 | 5 | M | K
Y | 2 | 5 | M | L
Y | 2 | 5 | M | M
Y | 2 | 5 | M | N
Y | 2 | 5 | M | O
Y | 2 | 5 | M+24 | K
Y | 2 | 5 | M+24 | L
Y | 2 | 5 | M+24 | M
Y | 2 | 5 | M+24 | N
Y | 2 | 5 | M+24 | O
Spreadsheet: 698818d1602187771-trying-to-generate-a-report-based-on-time-sheet-groups-by-earn-codes-time-sample
Sheet: Sheet1

UserId | Name | Period | EarnCode | Hours
10 | [NAME] | 1/5/2018-1/18/2018 | Regular | 31.88
16 | [NAME] | 1/5/2018-1/18/2018 | Regular | 32.63
16 | [NAME] | 1/5/2018-1/18/2018 | Lunch | 5.15
20 | Goege Fly | 1/5/2018-1/18/2018 | Regular | 68.9
5 | [NAME] | 1/5/2018-1/18/2018 | Regular | 39.35
6 | [NAME] | 1/5/2018-1/18/2018 | Regular | 37.25
6 | [NAME] | 1/5/2018-1/18/2018 | Regular | 9.8
6 | [NAME] | 1/5/2018-1/18/2018 | Regular | 9.08
6 | [NAME] | 1/5/2018-1/18/2018 | Regular | 7
6 | [NAME] | 1/5/2018-1/18/2018 | Lunch | 10.33
8 | [NAME] | 1/5/2018-1/18/2018 | Regular | 67.67
10 | [NAME] | 1/19/2018-2/1/2018 | Regular | 31.92
16 | [NAME] | 1/19/2018-2/1/2018 | Regular | 6.05
16 | [NAME] | 1/19/2018-2/1/2018 | Regular | 15.05
16 | [NAME] | 1/19/2018-2/1/2018 | Regular | 8.1
16 | [NAME] | 1/19/2018-2/1/2018 | Regular | 14.93
16 | [NAME] | 1/19/2018-2/1/2018 | Lunch | 8.85
16 | [NAME] | 1/19/2018-2/1/2018 | Regular | 8.8
16 | [NAME] | 1/19/2018-2/1/2018 | Regular | 9.52
20 | Goege Fly | 1/19/2018-2/1/2018 | Regular | 79.32
21 | [NAME] | 1/19/2018-2/1/2018 | Regular | 7.57
5 | [NAME] | 1/19/2018-2/1/2018 | Regular | 37.73
6 | [NAME] | 1/19/2018-2/1/2018 | Regular | 17.28
6 | [NAME] | 1/19/2018-2/1/2018 | Regular | 0.93
6 | [NAME] | 1/19/2018-2/1/2018 | Lunch | 8.68
6 | [NAME] | 1/19/2018-2/1/2018 | Regular | 7.98
6 | [NAME] | 1/19/2018-2/1/2018 | Regular | 17.52
6 | [NAME] | 1/19/2018-2/1/2018 | Regular | 11.95
6 | [NAME] | 1/19/2018-2/1/2018 | Regular | 3.72
6 | [NAME] | 1/19/2018-2/1/2018 | Regular | 13.42
6 | [NAME] | 1/19/2018-2/1/2018 | Regular | 2.38
8 | [NAME] | 1/19/2018-2/1/2018 | Regular | 76.48
Spreadsheet: 124175d1318212917-index-and-match-two-workbooks-wednesday-recap-summary-test
Sheet: Summary

 | Pecan Grove Plantation Women's Golf Association
 | Quarterly Play Day Winnings
 | Wednesday Play Days
 |  | First Quarter |  |  |  | Second Quarter |  |  |  | Third Quarter |  |  |  | Fourth Quarter
 |  |  | Birdies/ |  |  |  | Birdies/ |  |  |  | Birdies/ |  |  |  | Birdies/ |  |  | Yearly
 | Members | Event | Chip-Ins | Total |  | Event | Chip-Ins | Total |  | Event | Chip-Ins | Total |  | Event | Chip-Ins | Total |  | Total
 | Alworth, [NAME]
 | Bates, Janice
 | [NAME], [NAME]
 | Cates, [NAME]
 | Harp, Eileen
 | [NAME], [NAME]
 | [NAME], [NAME]
 | Smith, [NAME]
 | [NAME], [NAME]
 | TOTALS
Spreadsheet: 04e26b99-a1be-4096-b5e8-9405726b6eb4
Sheet: Sheet1

Product: | Microsoft SharePoint Server 2010 & SharePoint 2013
Worksheet title: | Analyze document usage data worksheet
Related content: | Identify users and analyze document usage (SharePoint Server 2010)
 | Identify users and analyze document usage in SharePoint 2013
Prepared by:
Date:
Instructions: | 1. After you identify the users in your organization, you can collect information about their document usage.
 | 2. Use this worksheet to help you analyze how documents are used in your organization.
 | Document type: For each kind of document that exists in your organization, fill out a row of the worksheet.
 | Document purpose: The reason that your organizatio creates this kind of document.
 | Document template: The name of the template on which the document type is based.
 | [NAME]: Any metadata that you have associated with this kind of document .
 | Workflow process: Any workflows that you have associated with this kind of document.
 | Author role: The role of the person in your organization who typically creates this kind of document.
 | User role: The role of the person in your organization who typically uses this kind of document.
 | Other roles: The role of any other person, inside or outside your organization, who typically uses this kind of document during its life cycle.
 | [NAME]: The format in which your organization typically uses this kind of document. If you must create multiple formats to store this kind of document (including paper), make a note of it here.
 | Location: Links to the library or network share where you store this kind of document. If the location includes a physical storage site, make a note of it here.
Spreadsheet: 867038d1713949343-power-query-extract-data-from-worksheet-sample
Sheet: Query

Plant, Equipment & Machinery Details |  |  |  |  |  |  |  |  |  |  | Inspection & Maintenance Details
No | Type / Category | Description  (as per LM, LP or other equipment certification where available) | Make & Model | Serial No | Equipment ID | Hirer  Company (Trade Partner / Vendor) | Owner of Equipment | Date first mobilized | Last Date on site | Current Status | Statutory Registration No. (LM, LP, AR, etc) | Certification [NAME] | Inspection / Serviving Frequency | Last Inspection / Servicing Date | Next Inspection / Servicing Due Date | PIC | Remarks
Spreadsheet: 220622d1363204971-using-solver-with-constraints-solver_investment
Sheet: Solver_investment

 | Stock
 |  |  |  | Constraints
 | A | 115457 |  | 50000 |  | Min investment for A
 | B | 65455 | 213640 | 100000 |  | Sum investment A, B and C min 100 000
 | C | 32728
 | D | 114544 |  | 82728 |  | D must be greater than C + 50 000
 | E | 171816 |  | 171816 |  | E must be 1,5 times D
 |  |  |  | 250000 |  | No investment must be more than half the portofolio.
 | Sum invst | 500000
Spreadsheet: 867272d1714120304-can-solver-solution-follows-a-set-of-ratio-lpsa_solver_problem
Sheet: Sheet1

 |  | Sys 1 | [NAME] | [NAME] | [NAME] | Sys 5
 | Profit Per Call ($) | 26.33 | 48.44 | 50.55 | 72.66 | 94.77
 |  |  |  |  |  |  |  | Resources |  | Resources
 |  |  |  |  |  |  |  | Used |  | Available
 | Cost Per Call ($) | 23.67 | 31.56 | 39.45 | 47.34 | 55.23 |  |  | <= | 22723.2 | Total available $ for cost
 | Time Spent Per Call (mins) | 45 | 60 | 75 | 90 | 105 |  |  | <= | 43200 | Total available mins for calls
 | System Ratio | 0.09090909090909091 | 0.2207792207792208 | 0.4025974025974026 | 0.1558441558441558 | 0.13
 |  | Sys 1 | [NAME] | [NAME] | [NAME] | Sys 5 |  |  |  | Total Profit
 | Optimised Calls | 0 | 1 | 0 | 1 | 410
Spreadsheet: 2d7d2e32-dee0-4714-b557-9ee9dd26741b
Sheet: Sheet1

Table 6--Cottonseed 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 |  |  |  |  | Disappearance
Year begin. | Beginning |  |  |  |  |  |  |  | Ending
Oct. 1 | stocks | Imports | Production | Total |  | Domestic | Exports | Total | stocks
 |  |  |  | Million pounds
2009/10 | 121.1 | 0.0997 | 617.29 | 738.4897 |  | 551.4847 | 94.466 | 645.9507 | 92.539
2010/111 | 92.539 | 0.202 | 835 | 927.741 |  | 598.913 | 163.828 | 762.741 | 165
2011/122 | 165 | 0.3 | 755 | 920.3 |  | 620.3 | 200 | 820.3 | 100
1 Estimated.  2 Forecast.
Source:  USDA, Foreign Agricultural Service, PS&D Online.
Last update: | 2012-03-13 08:08:34.220000