tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: d05a503c-cc74-45fa-aaaa-9a3ae9b3f9ac
Sheet: Sheet1

State Auditor - REP (North Dakota) | Unnamed: 1 | Unnamed: 2
Downloaded at 11/28/2014 2:19:58 PM
Precincts Reporting: 528/528 - Total Ballots Cast: 102886
2008 Primary Election - OFFICIAL RESULTS
District | [NAME] R ([NAME]) [NAME] | TOTALS
District 01 | 771 | 771
District 02 | 697 | 697
District 03 | 768 | 768
District 04 | 461 | 461
District 05 | 1527 | 1527
District 06 | 787 | 787
District 07 | 855 | 855
District 08 | 923 | 923
District 09 | 225 | 225
District 10 | 1245 | 1245
District 11 | 1061 | 1061
District 12 | 1104 | 1104
District 13 | 1351 | 1351
District 14 | 1216 | 1216
District 15 | 860 | 860
District 16 | 712 | 712
District 17 | 1592 | 1592
District 18 | 560 | 560
District 19 | 786 | 786
District 20 | 763 | 763
District 21 | 659 | 659
District 22 | 1226 | 1226
District 23 | 1009 | 1009
District 24 | 948 | 948
District 25 | 431 | 431
District 26 | 889 | 889
District 27 | 1140 | 1140
District 28 | 1623 | 1623
District 29 | 867 | 867
District 30 | 729 | 729
District 31 | 1129 | 1129
District 32 | 688 | 688
District 33 | 1162 | 1162
District 34 | 987 | 987
District 35 | 1054 | 1054
District 36 | 1096 | 1096
District 37 | 1648 | 1648
District 38 | 954 | 954
District 39 | 1511 | 1511
District 40 | 767 | 767
District 41 | 1416 | 1416
District 42 | 454 | 454
District 43 | 879 | 879
District 44 | 1450 | 1450
District 45 | 952 | 952
District 46 | 1490 | 1490
District 47 | 1585 | 1585
TOTAL | 47007 | 47007
Results provided by the Office of North Dakota Secretary of State
Spreadsheet: 290670d1389945766-highlightning-spesific-cell-based-on-paired-value-row-coloumn-compared-other-table-in-ot-sample
Sheet: Sheet3

 |  | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008
7201 | 2005
7205 | 2007
7201 | 1998
7206 | 2008
7202 | 1999
7205 | 2000
7205 | 2004
7204 | 2003
7201 | 2006
Spreadsheet: 81704d1281834451-calculate-hours-ignoring-empty-cells-timesheet-simple
Sheet: Sheet2

 | Mon | Tue | Wed | Thu | Fri | Sat | Sun | Total  hours
In | 16:00:00 | 22:00:00 |  |  | 11:00:00 |  | 17:00:00
Out | 22:00:00 | 06:00:00 |  |  | 15:00:00 |  | 20:00:00
TOTAL | 6 | 8 | 0 | 0 | 4 | 0 | 3 | 21
Spreadsheet: f5a22f2e-b083-495f-af08-deb068c4cd4d
Sheet: Sheet1

Region | Births 1990 | Births 2000 | Births 2009 | Percentage change in annual births between 1990 and 2009 | Average annual percentage change in births, 1990-2009
Global | 137741253.477133 | 132910072.443667 | 136622222.070547 | -0.812415582359838 | -0.0429241355364152
HIC | 13092359.542675 | 12302713.117817 | 12556196.681163 | -4.09523477998262 | -0.219834408734731
Africa LMIC | 22302448.56372 | 26610719.842032 | 31039909.84192 | 39.1771390178811 | 1.7551047053032
Americas LMIC | 11612696.267564 | 11470368.384038 | 10634078.87803 | -8.42713325989095 | -0.462271237048151
Eastern Mediterranean LMIC | 13682640 | 13955337 | 15445910 | 12.8869136365497 | 0.640020313551837
Europe LMIC | 7058633 | 5317795 | 5617671 | -20.4141793460575 | -1.19456688043872
South-East Asia LMIC | 39683835 | 39462192 | 37842292 | -4.64053688359505 | -0.249774977469197
Western Pacific LMIC | 30308641.103174 | 23790947.09978 | 23486163.669434 | -22.5100076592531 | -1.33325025982545
Spreadsheet: 0194b3e7-4b0a-4b07-b596-e14f4acd1824
Sheet: Sheet1

IgM | 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
10 min |  |  |  |  |  |  |  |  | Sample | Serum from 8-weeks old mouse
ng/ml | 0 | 5 | 10 | 25 | 50 | 100 |  |  | dilution | 1/2000
OD1 | 0.0997506 | 0.127256 | 0.17206 | 0.314087 | 0.486539 | 0.646734 |  |  |  | WT2 | WT3 | KO1 | KO3
OD2 | 0.0847899 | 0.164111 | 0.183131 | 0.356346 | 0.561737 | 0.660711 |  |  | OD1 | 0.369071 | 0.387162 | 0.377803 | 0.361839
means | 0.09227025 | 0.1456835 | 0.1775955 | 0.3352165 | 0.524138 | 0.6537225 |  |  | OD2 | 0.320789 | 0.42799 | 0.339508 | 0.332685
 |  |  |  |  |  |  |  |  | means | 0.34493 | 0.407576 | 0.3586555 | 0.347262
 |  |  |  |  |  |  |  | test | ng/ml | 28.29080459770115 | 35.49149425287357 | 29.86844827586207 | 28.55885057471265
 |  |  |  |  |  |  |  | final | ng/ml | 56581.60919540229 | 70982.98850574713 | 59736.89655172414 | 57117.70114942529
 |  |  |  |  |  |  |  | final | ug/ml | 56.58160919540229 | 70.98298850574713 | 59.73689655172414 | 57.11770114942529
Spreadsheet: louise_kitchen__22711__North America Plan 01-09 inc AA adj (2)
Sheet: Nymex

 | Nymex Desk
 | 2002 Plan
 |  |  |  |  |  |  |  |  | Per HC | New HC | Adjust Comp
 |  | 2001-09-01 00:00:00 |  | 2001 |  | % | 2002
 |  | YTD Actual |  | Forecast |  | of Total | Plan
ENACOMP | Compensation |  |  |  |  |  |  | Compensation | 0
 | Special Pays |  |  | 0 |  |  | 0
 | Analyst & Associates
ENABENTX | Benefits & Payroll Taxes |  |  |  |  |  |  | Other
ENAEMPEX | Employee Expense
ENAT&EEX | Travel & Entertainment Expense |  |  |  |  |  |  | Total
ENAOUTSV | Outside Services
ENASUPP | Supplies Expense
ENAMKTEX | Marketing |  |  |  |  |  |  | Intern | 33000
ENACONTR | Charitable Contributions |  |  |  |  |  |  | [NAME] | 48400 | 0
ENARENT | Rent |  |  |  |  |  |  | Staff | 49500 | 0
ENATECH | Technology |  |  |  |  |  |  | Specialist | 57750 | 1
ENATRANS | Transportation |  |  |  |  |  |  | Sr. Specialist | 71500 | 0
ENAOTHEX | Other Expenses |  |  |  |  |  |  | Analyst | 60500 | 0
ENATAXES | Taxes Other than Income |  |  |  |  |  | 0 | Associate | 89100 | 1
ENATOTDR | Total Direct Expenses |  |  |  |  |  |  | Manager | 110000 | 1
 |  |  |  |  |  |  |  | Director | 143000 | 2
 | Headcount |  |  |  |  |  |  | Sr. Director | 165000 | 0
 |  |  |  |  |  |  |  | VP | 198000 | 2
 | 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: 773759d1648036935-need-help-to-calculate-average-handling-time-field-wise-analysis-updated-1-2-
Sheet: To discuss

After applying the formula
Time buckets --> | <=5 min | >5 and <=10 min | >10 and <=15 min | >15 and <=30 min
# cases
% of cases | 0.7651 | 0.1325 | 0.0301 | 0.0341
Avg time per time frame bucket (hh:[NAME]:ss)
Total time per bucket (hh:[NAME]:ss)
Sum of time for all the buckets
Overall AHT (hh:[NAME]:ss)
Before applying the formula
Time buckets --> | <=5 min | >5 and <=10 min | >10 and <=15 min | >15 and <=30 min
# cases | 762 | 132 | 30 | 34
% of cases | 0.7651 | 0.1325 | 0.0301 | 0.0341
Avg time per time frame bucket (hh:[NAME]:ss) | 00:01:52 | 00:06:48 | 00:11:46 | 00:21:57
Total time per bucket (hh:[NAME]:ss) | 23:39:00 | 14:58:00 | 05:53:00 | 12:26:00
Sum of time for all the buckets
Overall AHT (hh:[NAME]:ss)
Spreadsheet: 328275d1403851427-average-if-neighboring-cell-contains-a-certain-value-sum-of-range-ans
Sheet: Sheet1

Names | Cat1 |  | Cat2 |  | Cat3 |  | Cat4
Name1 | g | 5 | s | 5 | p | 5 | g | 4 |  | p
[NAME] | g | 9 | s | 3 | p | 3 | g | 3 |  | g
Name3 | g | 7 | s | 2 | p | 8 | g | 2 |  | s
Spreadsheet: 54099d1254133727-returning-a-value-if-a-date-falls-between-two-dates-in-between-dates
Sheet: Sheet1

Week number | Start | End
1 | 2008-12-28 00:00:00 | 2009-01-03 00:00:00
2 | 2009-01-04 00:00:00 | 2009-01-10 00:00:00
3 | 2009-01-11 00:00:00 | 2009-01-17 00:00:00
4 | 2009-01-18 00:00:00 | 2009-01-24 00:00:00
5 | 2009-01-25 00:00:00 | 2009-01-31 00:00:00
6 | 2009-02-01 00:00:00 | 2009-02-07 00:00:00
7 | 2009-02-08 00:00:00 | 2009-02-14 00:00:00 |  | Date | Week
8 | 2009-02-15 00:00:00 | 2009-02-21 00:00:00 |  | 2009-01-20 00:00:00
9 | 2009-02-22 00:00:00 | 2009-02-28 00:00:00
10 | 2009-03-01 00:00:00 | 2009-03-07 00:00:00
11 | 2009-03-08 00:00:00 | 2009-03-14 00:00:00
Spreadsheet: 119784d1314738367-summarise-of-time-sheet-dannyboy
Sheet: Data

ID | Name | Hours Worked | Pending/Complete
1 | Fred | 24 | Pending
2 | [NAME] | 32 | Pending
3 | [NAME] | 43 | Pending
4 | Mark | 32 | Pending
5 | [NAME] | 23 | Pending
6 | [NAME] | 42 | Pending
7 | Fred | 32 | Pending
8 | [NAME] | 23 | Pending
9 | [NAME] | 34 | Pending
10 | [NAME] | 43 | Pending
11 | Fred | 33 | Pending
12 | Mark | 44 | Pending
13 | [NAME] | 23 | Pending
14 | [NAME] | 33 | Pending
15 | [NAME] | 23 | Complete
16 | [NAME] | 24 | Complete
17 | [NAME] | 43 | Complete
18 | Fred | 23 | Complete
19 | [NAME] | 33 | Complete
20 | [NAME] | 34 | Complete
21 | Mark | 43 | Complete
Spreadsheet: 1853bf96-6fde-4869-97b7-8f4e771481fb
Sheet: Supp Table S11

Supplementary Table S11:  Polymorphism Statistics for Saprolegenia Strains
Genome | SNP-type | Covered bases ([NAME] reads) | Numer of SNPs | Mean | Mode
CBS | Het | 48021326 | 505591 | Not applicable due to LOH and haplotype assembly | 2.6
N12 | All | 44734768 | 1467567 | 3.3 | 3.1
N12 | Het | 44734768 | 811149 | 1.8 | 1.7
Spreadsheet: 538424d1505599932-multi-page-order-sheet-with-summary-page-lbm-order-sheet-sample
Sheet: Order Summary

Item # | [NAME] | Description
0112-0009 | 294 | 2X4 1&BTR FIR GRN RGH;R/L
0112-0019 | 294 | 2X4 STD&BTR KD FIR S4S;12
0112-0028 | 20 | 2X4 STD&BTR FIR GRN S4S;08
0286-0035 | 20 | FLASHING FIRESTOP;5"X10' GALV 100-0900
0286-0038 | 15 | FLASHING STEP BROWN;3"x4"x10.5" 101-0105
0286-0045 | 30 | FLASHING WINDOW 7/8";WHITE 2" BACK
0293-0030 | 20 | ROOFING FELT 30lb PLAIN;CSA 36"X72' (216S/F)
0293-0032 | 10 | ROOFING FELT 15lb PLAIN;36"x 144' (432s/f)
0293-0033 | 4 | ROOFING FELT 15lb PLAIN;CSA RF403N
Spreadsheet: tracy_geaccone__40483__EOTT Summary subunits
Sheet: Sell Ratio .25

Project NFL: Gain/Loss Calculation
Enron recapitalizing Sub-Units, and API at .25
All Estimates based on March / 2001 information
Summary:
 |  |  |  |  |  |  |  |  |  | Co #105 |  |  |  | Co #105 | Co #23Q
 |  |  |  |  |  |  |  |  |  | Recapitalizing EOTT's Subordinated Units |  |  |  | Sell EOTT GP, Sub-Units and API | [NAME] API's |  | Total
Income Statement Effect
 | Proceeds on Sale |  |  |  |  |  |  |  |  |  |  |  |  | 33.4
 |  | Book Basis per G/L - pre-sale |  |  |  |  |  |  |  |  |  |  |  | 38.3 | 9.32
 | Effective Book Basis
 |  |  | Book Gain/(Loss) pre-tax
 | Tax Expense
 |  |  |  | Current
 |  |  |  | Deferred
 |  |  |  |  |  | Total Tax Expense
 |  |  |  |  |  | Net Income/(Loss) on Sale
 |  |  |  |  |  | Effective Tax Rate on Sale
Current Tax Calculation
 | Proceeds on Sale
 | Tax Basis |  |  |  |  |  |  |  |  | -6.3 |  |  |  | 1.8
 | Tax effect/basis in contingency items |  |  |  |  |  |  |  |  | 0 |  |  |  | 0 | 0 |  | 0
 |  |  |  |  | Taxable Income
 |  |  |  |  |  | Statutory Tax Rate |  |  |  | 0.383 |  |  |  | 0.383 | 0.383 |  | 0.383
 |  |  |  |  |  | Total Current Tax Expense
Deferred Tax Calculation
 |  |  |  | Tax Basis (estimate) |  |  |  |  |  |  |  |  |  | 1.8
 |  |  |  | Book Basis |  |  |  |  |  |  |  |  |  | 33.9
 |  |  |  |  | Net Basis difference
 |  |  |  |  | Statutory Tax Rate |  |  |  |  | 0.383 |  |  |  | 0.383 | 0.383 |  | 0.383
 |  |  |  |  |  | Subtotal Deferred Taxes Calculated
 |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.1
 |  |  |  |  |  | Total Deferred Taxes per G/L |  |  |  | -11.9
 | USE FOR PLANNING PURPOSES ONLY.  ACTUAL WILL BE DIFFERENT.
 |  |  |  |  |  | Sub-Units |  |  |  | 7000000
 |  |  |  |  |  | API's |  |  |  |  |  |  |  |  | 9318213
 |  |  |  |  |  | Convertion Ratio |  |  |  | 0.25 |  |  |  |  | 0.25
 |  |  |  |  |  | Base converted
 |  |  |  |  |  | Market Price |  |  |  | 16.95
 |  |  | Prepared By: |  |  |  |  | [NAME]
 |  |  | Date Prepared:
 |  |  | Location:
 |  |  | Run Date:
Spreadsheet: bfdf88e7-bcde-407c-bdb5-895d7cb7ad8b
Sheet: Sheet1

OPERATING/PROGRAMMATIC | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11
Legislative Fiscal Note |  |  |  |  |  |  | Ordinance Number
Ordinance Title (in Brief)
 | 1% for Art - Chris Doyle (Artist)
Does this Legislation Estimate New or Additional Revenues to the City? |  |  |  |  |  |  |  | No |  |  | Yes
 | If yes, please identify in  which Fund these revenues will be deposited (e.g. General, Sales Tax)
 | and provide the following revenue information:
 | Revenue Detail |  |  |  | FY 2004-05 |  |  | FY 2005-06
 | General Fund
 | Special Revenue
 | Enterprise
 |  |  | Total: | $ | 0 |  | $ | 0
 | (Please detail type of revenue (fees, grants, tax) and change that will occur as a result of this legislation.  Provide multi-year
 | estimates if known, or if grant revenue please identify source of funds (federal or state) and duration of grant support)
Does this Legislation increase appropriations in the current budget? |  |  |  |  |  |  |  | No |  |  | Yes
 | If Yes, please complete the following budget information:
 | Expense Detail |  |  |  | FY 2004-05 |  |  | FY 2005-06
 | General Fund
 | Special Revenue
 | Enterprise/Other
 |  |  | Total: | $ | 0 |  | $ | 0
 | Please detail the extent to which these increased appropriations will be of a permanent nature (e.g. number of
 | additional staff, facilities, long-term contracts)
Does this Legislation expand the scope of current city services? |  |  |  |  |  |  |  | No |  |  | Yes
 | (Please detail estimate number of people to be served, who is delivering services currently to that population, service
 | performance expectations, and if grant supported, provisions for support if grant support ends.
Is this legislation the result of a federal or state legislative mandate? |  |  |  |  |  |  |  | No |  |  | Yes
 | (If yes, please detail the purpose and source for that mandate).
Reviewed by:
 | 0ffice of Management and Budget |  |  | OMB Approval Date
Spreadsheet: 4445fe5f-61c7-494c-9168-08899020cdd9
Sheet: ELSS Math Grant

Grant: |  | Title 1A School Improvement - ELSS Math Grant
CFDA # |  | 84.010
GRANT NUMBER: |  | 5010
FISCAL YEAR: |  | 2011-12
[NAME]: |  | Not allowed on this grant
Question regarding payments: |  | [NAME]   [PHONE] or [EMAIL]
Questions regarding grant: |  | [NAME]6905 or [EMAIL]
LAST DAY TO SUBMIT REQUESTS FOR THIS GRANT  - August 15, 2012
Code | District Name | ALLOCATION | PAYMENTS TO DATE | BALANCE | JULY 2011 | AUGUST 2011 | SEPTEMBER 2011 | OCTOBER 2011 | NOVEMBER 2011 | DECEMBER 2011 | JANUARY 2012 | FEBRUARY 2012 | MARCH 2012 | APRIL 2012 | MAY 2012 | APRIL 2012 | MAY 2012 | JUNE 2012 | JULY 2012 | AUGUST 2012 | SEPTEMBER 2012 | OCTOBER 2012
9025 | East Central BOCES | 6650 |  |  |  |  |  |  |  | 6650
9035 | Centennial BOCES | 305897 |  |  |  |  |  |  |  |  |  | 305897
9040 | Northeast BOCES | 29802 |  |  |  |  |  |  |  |  |  | 29802
Spreadsheet: 00c0b00d-bd33-4740-a26b-41a0ad62aa4b
Sheet: Sheet1

Facility, Technical and Legal Infrastructure | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8
Implementation Work Sheet
Instructions:
1.  Transfer Step 8's cost analysis needed items to this work sheet's item needed column.
2.  Complete the work sheet from left to right.
3.  Use the completed work sheet as your project plan.
No. | Item needed | Category | Steps to take to implement item | Days to complete steps | Costs | Start date | Finish date | Check no. when complete
1 |  |  | 1 | 1 |  | 1 | 1 | 1
 |  |  | 2 | 2 |  | 2 | 2 | 2
 |  |  | 3 | 3 |  | 3 | 3 | 3
 |  |  | 4 | 4 |  | 4 | 4 | 4
 |  |  | 5 | 5 |  | 5 | 5 | 5
 |  |  | 6 | 6 |  | 6 | 6 | 6
 |  |  | 7 | 7 |  | 7 | 7 | 7
 |  |  | 8 | 8 |  | 8 | 8 | 8
 |  |  | 9 | 9 |  | 9 | 9 | 9
 |  |  | 10 | 10 |  | 10 | 10 | 10
 | Totals |  | ___ No. steps | ___ No. days | 0
2 |  |  | 1 | 1 |  | 1 | 1 | 1
 |  |  | 2 | 2 |  | 2 | 2 | 2
 |  |  | 3 | 3 |  | 3 | 3 | 3
 |  |  | 4 | 4 |  | 4 | 4 | 4
 |  |  | 5 | 5 |  | 5 | 5 | 5
 |  |  | 6 | 6 |  | 6 | 6 | 6
 |  |  | 7 | 7 |  | 7 | 7 | 7
 |  |  | 8 | 8 |  | 8 | 8 | 8
 |  |  | 9 | 9 |  | 9 | 9 | 9
 |  |  | 10 | 10 |  | 10 | 10 | 10
 | Totals |  | ___ No. steps | ___ No. days | 0
3
4
5
6
7
8
9
10
Spreadsheet: 870558d1717059256-formula-for-a-table-book1-1-
Sheet: Sheet1

 | Value (000 RON) | Value Share (%) | Average Price (RON/(L/kg))
TOTAL FMCG | 21007786 | 100 | 7.140594482421875
AFTER EPILATION PRODUCTS | 128.7474365234375 | 100 | 85.2431411743164
BRANDED | 128.7474365234375 | 100 | 85.2431411743164
Elmiplant | 46.9742546081543 | 36.48558807373047 | 69.1700439453125
[PHONE] | 46.9742546081543 | 36.48558807373047 | 69.1700439453125 | 0.8114440996943612
Farmec | 81.77317810058594 | 63.51441192626953 | 98.37460327148438
[PHONE] | 81.77317810058594 | 63.51441192626953 | 98.37460327148438 | 1.154047139937218
AFTER SHAVING PRODUCTS | 11563.0283203125 | 100 | 135.4113311767578
BRANDED | 10885.1943359375 | 100 | 139.5795745849609
Adidas | 507.5125122070312 | 4.662411212921143 | 191.5464324951172
[PHONE] | 28.33832740783691 | 0.260338306427002 | 150 | 1.107735953087994
[PHONE] | 115.4087066650391 | 1.060235738754272 | 150 | 1.107735953087994
[PHONE] | 304.5484313964844 | 2.797822713851929 | 209.6818542480469 | 1.54848085773812
[PHONE] | 44.4845085144043 | 0.4086698889732361 | 199.8999938964844 | 1.476242735074708
[PHONE] | 43.07088088989258 | 0.3956831693649292 | 209.8999938964844 | 1.550091798613908
Avon | 65.8121337890625 | 0.6046022772789001 | 101.6295394897461
AVO0000000003475 | 30.19927787780762 | 0.2774344384670258 | 119.8999938964844
AVO0000000024729 | 35.61285400390625 | 0.3271678388118744 | 90
Brut | 44.60462188720703 | 0.4097733199596405 | 150
[PHONE] | 44.60462188720703 | 0.4097733199596405 | 150 | 1.107735953087994
Coral | 20.76680564880371 | 0.1907803118228912 | 39.89999771118164
[PHONE] | 20.76680564880371 | 0.1907803118228912 | 39.89999771118164 | 0.2946577466186971
D'Amaris | 28.33832740783691 | 0.260338306427002 | 150
[PHONE] | 28.33832740783691 | 0.260338306427002 | 150 | 1.107735953087994
[NAME] | 880.108154296875 | 8.085369110107422 | 151.7235260009766
[PHONE] | 199.6584930419922 | 1.834220886230469 | 194.6495666503906 | 1.437468821544236
[PHONE] | 273.5282897949219 | 2.512847185134888 | 134.0671081542969 | 0.9900730388603413
[PHONE] | 265.9579162597656 | 2.443299770355225 | 129.1683654785156 | 0.9538962829477454
[PHONE] | 121.8371810913086 | 1.119292736053467 | 222.225830078125 | 1.641116944549082
[PHONE] | 19.12627983093262 | 0.1757091283798218 | 150 | 1.107735953087994
Spreadsheet: 123557d1317735090-index-match-or-vlookup-or-if-then-help-index-match-problem
Sheet: Sheet1

 |  |  |  |  |  |  |  |  |  |  |  |  | 1
 |  | A | B | C | B | E | F | G | H |  |  |  | Global
 | 1 |  | GLOBAL | GLOBAL | GLOBAL |  | Germany | Germany | Germany |  |  |  | Germany
 | 2 |  | Rev | VC | %VC |  | Rev | VC | %VC
 | 3 | QTD | 100 | 50 | 0.5 | QTD
 | 4 | Q3: FY 11 | 150 | 60 | 0.4 | Q3: FY 11
 | 5 | Q2:FY11 | 300 | 100 | 0.3333333333333333 | Q2:FY11
 | 6 | Q1:FY11 | 100 | 60 | 0.6 | Q1:FY11
 | 7
 | 8
 | 9 | [NAME] by Country
 | 10 |  | Rev | VC | %VC
 | 11 | QTD | 100 | 50 | 0.5
 | 12 | Q3: FY 11 | 150 | 60 | 0.4
 | 13 | Q2:FY11 | 300 | 100 | 0.3333333333333333
 | 14 | Q1:FY11 | 100 | 60 | 0.6
Spreadsheet: 737650d1624530325-formula-error-from-live-data-skip-tracker
Sheet: Sheet1

6T Skip Number | [NAME] | Inspection Date | Inspection Category | Days on Hire
BCAB5003 | 6 Tonne | 2021-05-01 00:00:00 | Outbound
BCAB5002 | 6 Tonne | 2021-05-01 00:00:00 | Outbound
BCAB5001 | 6 Tonne | 2021-05-07 00:00:00 | Outbound
BCAB5019 | 6 Tonne | 2021-05-07 00:00:00 | Outbound
BCAB5020 | 6 Tonne | 2021-05-08 00:00:00 | Outbound
BCAB5021 | 6 Tonne | 2021-05-10 00:00:00 | Outbound
BCAB5003 | 6 Tonne | 2021-05-22 00:00:00 | Inbound
BCAB5002 | 6 Tonne | 2021-05-24 00:00:00 | Inbound
BCAB5001 | 6 Tonne | 2021-05-25 00:00:00 | Inbound
BCAB5019 | 6 Tonne | 2021-05-27 00:00:00 | Inbound
BCAB5020 | 6 Tonne | 2021-05-27 00:00:00 | Inbound
BCAB5021 | 6 Tonne | 2021-05-29 00:00:00 | Inbound
BCAB5003 | 6 Tonne | 2021-06-02 00:00:00 | Outbound
BCAB5002 | 6 Tonne | 2021-06-05 00:00:00 | Outbound
BCAB5001 | 6 Tonne | 2021-06-09 00:00:00 | Outbound
BCAB5003 | 6 Tonne | 2021-06-19 00:00:00 | Inbound
BCAB5002 | 6 Tonne | 2021-06-21 00:00:00 | Inbound
BCAB5001 | 6 Tonne | 2021-06-23 00:00:00 | Inbound
Spreadsheet: 774703d1648626643-round-sales-price-up-to-next-25-50-75-cent-or-round-to-50-cent-and-full-price-list-test
Sheet: Round X.25

Retail Price List 2009
Last number used | Last Item Number |  | Cost Base |  |  | Calculated Cost |  |  |  |  | Sales Price
 |  | 2.2046 |  |  |  |  |  |  |  |  | 3.5 | 3.35 | 3.25 | 3.15 | 3
Type | Product # | Description | UOM | Cost | Cost | Cost 1oz | Cost 2oz | Cost 4oz | Cost 8oz | Cost lbs | Packing [NAME]
 |  |  |  | UOM | Base lbs |  |  |  |  |  | 1 | 2 | 4 | 8 | 16
 | 100158 | Product 1 | 500 | 65.5
 | 100077 | Product 2 | 500 | 13.05
 | 100125 | Product 3 | 500 | 13.08
 | 100360 | Product 4 | 1000 | 21
 |  |  |  |  |  |  |  |  |  |  | 13.09 | 24.89 | 48.29000000000001 | 93.59 | 178.29
 |  |  |  |  |  |  |  |  |  |  | 2.59 | 4.99 | 9.690000000000001 | 18.69 | 35.59
 |  |  |  |  |  |  |  |  |  |  | 2.69 | 4.99 | 9.690000000000001 | 18.69 | 35.69
 |  |  |  |  |  |  |  |  |  |  | 2.09 | 3.99 | 7.790000000000001 | 15.09 | 28.59
Spreadsheet: 97097d1296303800-excel-2007-conditional-formatting-multiple-sheets-test
Sheet: Sections

Section A
Arena | No | Rider | Horse
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
Section B
Arena | No | Rider | Horse
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
Section C
Arena | No | Rider | Horse
C
C
C
C
C
C
C
C
C
C
C
C
C
C
C
C
C
C
C
C
C
C
C
C
C
C
C
C
C
C
C
C
C
C
C
Section D
Arena | No | Rider | Horse
D
D
D
D
D
D
D
D
D
D
D
D
D
D
D
D
D
D
D
D
D
D
D
D
D
D
D
D
D
D
D
D
D
D
Arena | No | Rider | Horse
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
Spreadsheet: 857771d1706689058-how-to-simplify-the-formula-help-dj
Sheet: Sheet1

 | HNY | CNY | LNY |  |  | [NAME] | Value
1 | 10 | 20 | 30 |  |  | HNY2
2 | 20 | 40 | 60 |  |  | CNY3 |  |  |  |  | 60
3 | 30 | 60 | 90 |  |  | LNY1 |  |  |  |  | 30
 |  |  |  |  |  | HNY1 |  |  |  |  | 10
 |  |  |  |  |  | [NAME] |  |  |  |  | 30
 |  |  |  |  |  | CNY2 |  |  |  |  | 40
Spreadsheet: 850654d1701065175-kind-of-reverse-index-match-mosom-8-3-1-
Sheet: Sheet1

 |  |  |  |  | Role 1 | Role 2 | Role 3 | Role 4 | Role 5
Topic 1 | Module 1 | Area 1 | Focus 1 |  | Yes | Yes | Yes | Yes | No |  |  |  |  | Scenario 1
Topic 1 | Module 1 | Area 1 |  |  | No | Yes | Yes | No | No |  |  |  |  | When I select in a new cell from a drop down list of all "text fields":
Topic 1 | Module 1 | Area 1 |  |  | No | Yes | No | No | Yes |  |  |  |  | eg | text field 5
Topic 1 | Module 1 | Area 2 | Focus 1 |  | Yes | Yes | No | No | Yes
Topic 1 | Module 1 | Area 2 | Focus 2 |  | No | N/A | Yes | Yes | No |  |  |  |  | It will display next to it the leading row part and the column heading, with cell spacers:
Topic 1 | Module 1 | Summary |  |  | text field 1 | text field 2 | text field 3 | text field 4 | text field 5 |  |  |  |  | eg | Topic 1 | Module 1 | Summary |  | Role 5
Topic 1 | Module 2 | Area 1 | Focus 1 |  | Yes | No | No | Yes | Yes
Topic 1 | Module 2 | Area 1 | Focus 2 |  | N/A | No | Yes | Yes | Yes |  |  |  |  | So it will look like this:
Topic 1 | Module 2 | Area 2 | Focus 1 |  | N/A | Yes | Yes | Yes | No |  |  |  |  |  | text field 5
Topic 1 | Module 2 | Area 3 | Focus 1 |  | No | Yes | Yes | Yes | No
Topic 1 | Module 2 | Area 3 | Focus 2 |  | Yes | N/A | Yes | No | Yes
Topic 1 | Module 2 | Summary |  |  | text field 6 | text field 7 | text field 8 |  | text field 10
 |  |  |  |  |  |  |  |  |  |  |  |  |  | Scenario 2
 |  |  |  |  |  |  |  |  |  |  |  |  |  | List all text fields and the info, as above
 |  |  |  |  |  |  |  |  |  |  |  |  |  | eg | text field 1
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | text field 2
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | text field 3
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | text field 4
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | text field 5
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | text field 6
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | text field 7
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | text field 8
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | text field 9
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | text field 10