tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 2128d001-83e4-4dcb-88d0-1a337a0ecf0c
Sheet: Climate Data

NON-POTABLE WATER CALCULATOR
Climate Data for San Francisco
 | Eastside ETo Zone
 | Month | Ave. Monthly [NAME] (1) | Reference Evapotranspiration (2) | Actual Evapotranspiration
 |  | in/month | ETo | ETL
 | January | 4.5616 | 1.24 | 0.62 |  | Linked to 4. Outdoor Water Demand - Reference Evapotranspiration (ETo)
 | February | 3.845 | 1.68 | 0.84 |  | Linked to 5. Outdoor Water Supply - Rainfall Data
 | March | 2.9074 | 3.1 | 1.55
 | April | 1.412061855670103 | 3.9 | 1.95
 | May | 0.6282558139534884 | 4.65 | 2.325
 | June | 0.2203030303030303 | 5.1 | 2.55
 | July | 0.04972222222222222 | 4.96 | 2.48
 | August | 0.1076086956521739 | 4.65 | 2.325
 | September | 0.3703125 | 3.9 | 1.95
 | October | 1.034639175257732 | 2.79 | 1.395
 | November | 2.684948453608247 | 1.8 | 0.9
 | December | 4.083232323232323 | 1.24 | 0.62
 | Totals | 21.90508406989932 | 39.01 | 19.505
 | (1) Average monthly rainfall based on NWS downtown SF gage (1907-2007)
 | (2) CIMIS Zone 2
 | Westside ETo Zone
 | Month | Ave. Monthly [NAME] (1) | Reference Evapotranspiration (2) | Actual Evapotranspiration
 |  | in/month | ETo | ETL
 | January | 4.5616 | 0.93 | 0.465
 | February | 3.845 | 1.4 | 0.7
 | March | 2.9074 | 2.48 | 1.24
 | April | 1.412061855670103 | 3.3 | 1.65
 | May | 0.6282558139534884 | 4.03 | 2.015
 | June | 0.2203030303030303 | 4.5 | 2.25
 | July | 0.04972222222222222 | 4.65 | 2.325
 | August | 0.1076086956521739 | 4.03 | 2.015
 | September | 0.3703125 | 3.3 | 1.65
 | October | 1.034639175257732 | 2.48 | 1.24
 | November | 2.684948453608247 | 1.2 | 0.6
 | December | 4.083232323232323 | 0.62 | 0.31
 | Totals | 21.90508406989932 | 32.92 | 16.46
 | (1) Average monthly rainfall based on NWS downtown SF gage (1907-2007)
 | (2) CIMIS Zone 1
Spreadsheet: 57194d1257344456-merging-data-from-two-sheets-biglist
Sheet: Sheet1

[Name] | [Area] | [pcode] | [State] | Description | Category | URL
Consec - Conference Management and Secretariat Services | [NAME] |  | ACT | A company formed by directors, [NAME] and [NAME], offering conference/exhibition management and secretariat administration, committed to a personalised, professional service. | internet | http://www.consec.com.au
Picture Australia | Canberra |  | ACT | We are an internet based service that allows you to search many significant online pictorial collections at the same time. We began in 1998 as a pilot called ImageSearch. | internet | http://www.pictureaustralia.gov.au
Masterpiece Murals | Bilambil Heights |  | NSW | From simple abstract feature walls, to realistic three dimensional illusions (Trompe L'oeil), we create beautiful, striking works of art perfectly suited to your home or business. | abstract | http://www.masterpiecemurals.com.au
GUSHA Visual Media Pty Ltd | Brookvale |  | NSW | An exciting advantage of photography on canvas includes the greater image size achievable over conventional photographic prints. We are embracing new technologies in the areas of inkjet prints on canvas. | abstract | http://www.gusha.com.au
SAN MONAGE Photography | Caringbah |  | NSW | We are a professional photography firm that specialises in many types of photography. These include corporate, landscape, weddings, portraiture, object and abstract photography. | photography | http://www.sanmonage.com.au
BaliIndo Asian Art | Copacabana |  | NSW | We are an Australian business importing and supplying the finest Original oil paintings from all over South East Asian and Indonesia. | Artist | http://www.baliindoasianart.com
Penrith Regional Gallery & The Lewers Bequest | Emu Plains |  | NSW | Develop and maintain a centre of excellence and diversity focussed on the visual arts, providing cultural and educational resources for the benefit of the community. | Artist | ttp://www.penrithregionalgallery.org
[NAME] | Graceville |  | QLD | Our normal and holiday activity programmes are specifically tailored to suit age groups 2 to 4, 5 to 6, | Abstract | http://www.bimbamboom.com.au
Spreadsheet: 782366d1654003885-determine-in-which-month-sample-data-will-pass-limit-based-on-monthly-average-sample-data-2-aligw
Sheet: sample data

ID | Minimum of Start Date | Sub Item End Date | % Plan Limit Used | Apr Total | Limit | [NAME] | Feb Total | Jan Total | Date Due | Late?
name1 | 2020-12-22 00:00:00 | 2023-12-21 00:00:00 |  | 73739491.24 | 200000000 | 68512823.37 | 63266824.26 | 58987145.31
[NAME] | 2022-01-01 00:00:00 | 2025-12-31 00:00:00 |  | 5159467.67 | 90000000 | 3801557.75 | 2606521.21 | 5813334.08
name3 | 2021-09-13 00:00:00 | 2022-09-12 00:00:00 |  | 2043229.1 | 2500000 | 1770563.2 | 1494093.83 | 1231223.69
name4 | 2021-06-22 00:00:00 | 2022-06-21 00:00:00 |  | 78748.03 | 150000 | 38826.14 | 32646.76 | 32646.76
name5 | 2021-05-24 00:00:00 | 2022-05-23 00:00:00 |  | 48331029.8 | 41666666.7 | 44803503.51 | 37910673 | 32728463.08
Question | In which month will ID (name1, etc) pass the Limit based on monthly average usage
Question 2: Identify if it will be past the Sub item end date
Spreadsheet: larry_campbell__21315__larry elizabethtown suiza
Sheet: Sheet1

 |  |  |  |  |  |  |  |  |  | 1998-01-01 00:00:00 | 1998-02-01 00:00:00 | 1998-03-01 00:00:00 | 1998-04-01 00:00:00 | 1998-05-01 00:00:00 | 1998-06-01 00:00:00 | 1998-07-01 00:00:00 | 1998-08-01 00:00:00 | 1998-09-01 00:00:00 | 1998-10-01 00:00:00 | 1998-11-01 00:00:00 | 1998-12-01 00:00:00 | 1999-01-01 00:00:00 | 1999-02-01 00:00:00 | 1999-03-01 00:00:00 | 1999-04-01 00:00:00 | 1999-05-01 00:00:00 | 1999-06-01 00:00:00
48 | Tuscan Dairy_Union_  {under Garelick Farms umbrella} | EESO supplting 9/1/00 | 750 Union Ave | Union, NJ | [PHONE] | [NAME] | ELZ (Elizabethtown)/NUI(NationalUtilityInvestor) | Tariff account; set-up to receive EESO gas ASAP | Tariff Customer; Hot water tank & cooking | 640.1 | 749.2 | 685.2 | 674.4 | 674 | 654 | 663.7 | 552 | 732.6 | 712 | 810.6 | 728.2 | 644.8 | 718.2 | 597.7 | 591.7 | 610.4 | 631.8
48 | Tuscan Dairy_Union_  {under Garelick Farms umbrella} | EESO supplting 9/1/00 | 750 Union Ave BLR | Union, NJ | [PHONE] | ITS-IS | ELZ (Elizabethtown)/NUI(NationalUtilityInvestor) | transport acct; the site switches to #6 oil when the LDC curtails; Instruct the site to call EESO contact when this occurs & to order #6 with Houston as the billing address as they need; Sprague ([NAME]); 30-day notice to terminate 3pk with Sprague; set-up to receive EESO gas asap; terminate supply agmt with Sprague asap; also contact [NAME] from Tuscan([PHONE])to indicate EESO flow start date | [NAME]; boiler; 30 days notice to terminate agreement with Sprague | 13163.4 | 12016.9 | 13541.2 | 11564.7 | 11380.9 | 8016.5 | 4817.3 | 7900.2 | 7783.7 | 9031.4 | 11523.1 | 83.8 | 0 | 9797.7 | 12477.8 | 11082.4 | 10332.4 | 7765.3
48 | Tuscan Dairy_Union_  {under Garelick Farms umbrella} | EESO supplting 9/1/00 | 750 Union Ave Eng | Union, NJ | [PHONE] | FTS w/o S/B | ELZ (Elizabethtown)/NUI(NationalUtilityInvestor) | transport acct; Sprague ([NAME]); 30-day notice to terminiate 3pk with Sprague; set-up to receive EESO gas asap | [NAME]; boiler; 30 days notice to terminate agreement with Sprague | 8659.9 | 7006.8 | 7851.1 | 8220.9 | 9372.6 | 9605.7 | 10301.2 | 10997.6 | 10274 | 9276.4 | 8668.3 | 8970.7 | 7875.6 | 7488.1 | 8270.8 | 8531.4 | 7970.5 | 8873.9
Spreadsheet: 270364d1381447046-pulling-aggregate-data-from-table-1-to-automate-drawing-conclusions-from-table-2-walkthrough-asphalt-core-database
Sheet: Table 2

 | # Tests |  |  |  | Sublot Pay Factor
 | 1 | 2 | 3 | 4
Average Compaction Percentage Deviation Upper Bound | 2.26 | 1.6 | 1.31 | 1.13 | 1.02
 | 3.76 | 2.66 | 2.18 | 1.89 | 1
 | 4.06 | 2.87 | 2.35 | 2.03 | 0.98
 | 4.51 | 3.19 | 2.61 | 2.26 | 0.95
 | 5.26 | 3.72 | 3.04 | 2.63 | 0.9
 | 100 | 100 | 100 | 100 | 0.8
The values listed in the table are actually 0.01% outside of the range for that [NAME], therefore I'm letting Excel calculate if the Avg % Dev is *less than* the value in the cell.
The more tests performed, the stricter the % deviation requirement is.  For example, 2 tests with an average % deviation from 1.6-2.65 would have a Pay Factor of 1.00
Say I want to take data from Table 1 and plug it into this table.  I'll use row 2.
Lot # | Core # | [NAME] | # Tests
Test Strip | TS-1 | 0.6217494089834616 | 4
Using HLOOKUP, I can find the right column (the one under 4 tests)
1.13
However, I want it not to just display the first number in the selected column.  I want it to read the column, find the appropriate row, and pick the correct pay factor.
So… I use the only way I know of with which I could force it to sorta work - nested IF() statements.
1.02
It kinda works, but not quite perfectly, and it's a clunky, brute-force equation.  I'd rather use something more elegant, if possible.
The problem is two-fold.  First, I'm using a horrendously long-winded nest of IF() statements to achieve my goal; and, secondly, it keeps failing to return 0.80.
Go ahead, change 0.622 to something ridiculous, like 500.  The equation won't return 0.80, and it won't return the "PROBLEMS!" debugger I included in the equation.
Spreadsheet: 114515d1310228903-list-multiple-values-in-same-cell-questions-per-category
Sheet: Sheet1

Question | Category
1 | Finding Density
2 | Finding Volume
3 | Finding Density
4 | Finding Volume
5 | Finding Mass
6 | Finding Mass
7 | Finding Density
8 | Finding Mass
9 | Finding Volume
10 | Finding Density
Spreadsheet: 539870d1506413498-sum-using-multipul-vookup-mz-sales-budget-plan-2018-working
Sheet: 62000

ZO Multan | Plan FY | Actual YTD | [NAME] | 4Q OL | [NAME] | [NAME]
[PHONE] SHOPPING TRIPS | 0 | 22100
[PHONE] STAFF MEETINGS,ENTT | 200000 | 152296
[PHONE] RENT | 3071000 | 2100714 |  | 1
[PHONE] UTILITIES | 730000 | 693465 |  | 2
[PHONE] OFFICE RENT/UPKEEP | 35000 | 25463 |  | 3
[PHONE] OFF M&R-MATRILALS | 34000 | 40844
[PHONE] OFFICE M&R CONTR OUT | 996000 | 893414
[PHONE] OTH-REPAIRS/MAINT | 176000 | 143279
[PHONE] GH RENT RECOVERY | 0 | 48000
[PHONE] PRINTING/STATIONERY | 20000 | 11320
[PHONE] BOOKS PERIODICALS | 34000 | 21385
[PHONE] NON-CAP FURN/EQP | 48000 | 23798
[PHONE] OFF FUR/EQP RENTAL | 5000 | 3000
[PHONE] OFF FURN/EQP M&R | 53000 | 70238
[PHONE] COMPUTER MAINT | 15000 | 13530
[PHONE] REPRODUCTION CHG | 10000 | 12760
[PHONE] UPS MAINT. | 12000 | 0
[PHONE] POSTAGE CHG | 101000 | 84266
[PHONE] TELEPHONES CHG | 80000 | 100664
[PHONE] FAX CHARGES | 3000 | 0
[PHONE] INTERNET FIXED MNT | 13000 | 2300
[PHONE] INTERNET USAG CHG | 13000 | 73304
[PHONE] RECOV FOR PVT.TEL | -2000 | -509
[PHONE] DATA COMM LINK | 750000 | 548505
[PHONE] LOCAL-BUSS TRAVEL | 529000 | 417837
[PHONE] REGIS & TAXES | 7000 | 5300
[PHONE] POL & SERVICES | 122000 | 30204
[PHONE] REP  PARTS & ACCESS | 10000 | 100
[PHONE] PRIVATR MILEAGE | -26000 | -327
[PHONE] HIRED VEHICLES | 30000 | 98304
[PHONE] OTH-VEH-TRAV EXP | 0 | 300
[PHONE] OTHERS-GR/PR EXP. | 69000 | 8720
[PHONE] BUS. MEETING & ENT. | 127000 | 109165
[PHONE] OTH PURCHASE SERVICE | 700000 | 233186.2
[PHONE] INSURANCE EXPENSE MA | 0 | 1596
[PHONE] BANK CHARGES | 15000 | 3400
[PHONE] TAXES STAMPS & LICS | 80000 | 76725
Spreadsheet: 476683d1471970332-multiple-worksheets-populating-one-masterworksheet-test-1-1-
Sheet: New Master

Admissions |  | Admissions | Admissions | Admissions | Facilities | Facilities
Apt. Type | Apt. # | Res. Vacate Date | New Res. Init. Commitment | Vacate to Init. Commitment | Scope of Work Meeting | Renovation Completion Date
 | 101
 | 102
 | 103
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 | 105
 | 106
 | 107
 | 108
 | 141
 | 142
 | 143
 | 144
 | 145
 | 146
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 | 152
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 | 1001
 | 1002
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Spreadsheet: 181677d1348110657-copying-related-cells-after-using-a-sorting-using-a-formula-fflsample
Sheet: Top ten List

1998 Top Ten Players
Rank | Player | Points | Team | Position | Week | Position
1
2
3
3
5
5
5
5
9
9
9
Quarterback
Rank | Player | Points | Team | Year | Week | Position
1
1
3
4
4
6
7
7
9
10
10
Running Back
Rank | Player | Points | Team | Year | Week | Position
1
2
3
3
5
5
7
8
8
8
Wide Reciever
Rank | Player | Points | Team | Year | Week | Position
1
2
3
3
5
6
6
6
9
9
9
Tight End
Rank | Player | Points | Team | Year | Week | Position
1
2
2
4
5
5
5
8
9
10
Kicker
Rank | Player | Points | Team | Year | Week | Position
1
2
3
4
4
4
4
4
9
9
9
Defense
Rank | Player | Points | Team | Year | Week | Position
1
2
3
4
5
6
7
8
9
9
Spreadsheet: 666168d1583507552-complex-timesheet-template-sample-timesheet-fish31-
Sheet: Sheet2

Date | Task | Time In | Break Start | Break End | Time Out | Total Hrs | Task A Hrs | Task A OT Hrs | Task B Hrs | Task B OT Hrs | 08:00:00 | 09:00:00 | 10:00:00 | 11:00:00 | 12:00:00 | 13:00:00 | 14:00:00 | 15:00:00 | 16:00:00 | 17:00:00 | 18:00:00 | 19:00:00 | 20:00:00 | 21:00:00 | 22:00:00 | 23:00:00
Sat | Task A | 09:15:00 | 12:30:00
 | Task B |  |  | 13:00:00 | 18:00:00
Sun | Task A
 | Task B
Mon | Task A | 09:00:00 | 12:00:00 | 13:00:00 | 18:00:00
 | Task B
Tue | Task A |  |  | 19:00:00 | 20:00:00
 | Task B | 09:00:00 | 12:00:00 | 13:00:00 | 19:00:00
Wed | Task A | 09:00:00 | 12:00:00 | 13:00:00 | 18:00:00
 | Task B |  |  | 18:00:00 | 19:00:00
Thu | Task A | 09:00:00 | 12:00:00 | 13:00:00 | 17:00:00
 | Task B |  |  | 17:00:00 | 18:00:00
Fri | Task A | 09:00:00 | 12:00:00 | 18:00:00 | 19:00:00
 | Task B |  |  | 13:00:00 | 18:00:00
Spreadsheet: 167658d1342052411-excel-2007-nesting-issue-book2
Sheet: Sheet3

 |  |  |  |  |  | 1 | 1
 |  |  |  |  |  | 2 | 2
 |  |  |  |  |  | 3 | 3
 |  |  |  |  |  | 4 | 1
 |  |  |  |  |  | 5 | 2
 |  |  |  |  |  | 6 | 3
 |  |  |  |  |  | 7 | 1
 |  |  |  |  |  | 8 | 2
 |  |  |  |  |  | 9 | 3
 |  |  |  |  |  | 10 | 1
 |  |  |  |  |  | 11 | 2
 |  |  |  |  |  | 12 | 3
 | << [NAME] |  |  |  |  | 13 | 4
29 | << Input |  |  |  |  | 14 | 5
 |  |  |  |  |  | 15 | 6
 |  |  |  |  |  | 16 | 4
 |  |  |  |  |  | 17 | 5
 |  |  |  |  |  | 18 | 6
 |  |  |  |  |  | 19 | 4
 |  |  |  |  |  | 20 | 5
 |  |  |  |  |  | 21 | 6
 |  |  |  |  |  | 22 | 4
 |  |  |  |  |  | 23 | 5
 |  |  |  |  |  | 24 | 6
 |  |  |  |  |  | 25 | 7
 |  |  |  |  |  | 26 | 8
 |  |  |  |  |  | 27 | 9
 |  |  |  |  |  | 28 | 7
 |  |  |  |  |  | 29 | 8
 |  |  |  |  |  | 30 | 9
 |  |  |  |  |  | 31 | 7
 |  |  |  |  |  | 32 | 8
 |  |  |  |  |  | 33 | 9
 |  |  |  |  |  | 34 | 7
 |  |  |  |  |  | 35 | 8
 |  |  |  |  |  | 36 | 9
Spreadsheet: 816551d1675695848-how-to-enhance-vlookup-formula-to-search-data-and-shown-all-the-results-automatically-vlookup-datasample
Sheet: array

Qty | Position
5724 | 1
3862 | 2
2933 | 3
2879 | 4
978 | 5
835 | 6
713 | 7
418 | 8
257 | 9
250 | 10
233 | 11
205 | 12
200 | 13
185 | 14
150 | 15
150 | 16
140 | 17
139 | 18
120 | 19
119 | 20
102 | 21
Spreadsheet: 0a8791de-84e4-4eb4-bfac-22483612972b
Sheet: Education Teacher Prep

EDUCATION
Associate in Applied Science
Student Name:
ID #
Teacher Preparation Option
General Education
___ ENG 101(3) Writing I | Semester | Grade
___ ENG 102 (3) Writing II
___ COM 181 (3) Basic Public Speaking
OR ___ COM 252 Intro to Interpersonal Communications
___ Humanities OR Foreign Language (3-4)
___ HIS 108 (3) History of the US Through 1865
OR ___ HIS 109 (3) History of the US Since 1865
___ MAT 146 (3) Contemporary College Mathematics
OR ___ MAT 150 (3) College Algebra OR ___ MAT 111 Contemporary Mathematics
___ PSY 110 (3) General Psychology
___ [NAME] (4-5) (Must include at least one Science course with a laboratory experience.)
___ [NAME] (3)
___ Behavioral Science(3)(One course must be a Cultural Studies.)
___ Behavioral Science (3)
___ CIT 105 (3) Introduction to Computers OR IC3 Computer Literacy Exam
Technical Core or Support Courses
___ EDU 201 (3) An Introduction to American Education
___ EDP 202 (3) Human Development and Learning
___ EDP 203 (3) Teaching Exceptional Learners in the Regular Classroom
Technical or Support Electives - 15 hours
___ EDU 110 (3) Orientation to Education
___ EDU 120 (3) Child and Adolescent Development
___ EDU 130 (3) Introduction to Special Education
___ EDU 140 (3) Introduction to Behavior Management
___ EDU 150 (3) Practical Experience for the Para-educator
___ EDU 280 (3) Education Externship/Co-op
Southeast Kentucky Community & Technical College | Updated Spring 2013
Spreadsheet: 76744d1277238708-work-out-from-dataset-screenshot-browser-version-analysis-14jun-21jun
Sheet: Analytics_www.betfair.com_horse

 | Complete Version Breakdown |  |  | Version Condensed [NAME]
 | Internet Explorer 8 | 281108 |  | Internet Explorer 8 | 281108
 | Firefox 3.6.3 | 92058 |  | Firefox 3.6 | 95618
 | Internext Explorer 7 | 87185 |  | Internet Explorer 7 | 87185
 | Chrome 5.0.375.70 | 45702 |  | Chrome 5 | 45702
 | Firefox 3.5.9 | 23542 |  | Firefox 3.5 | 23542
 | Internet Explorer 6 | 15705 |  | Opera | 20918
 | Opera 531.22.7 | 8364 |  | Internet Explorer 6 | 15705
 | Firefox 3.0.19 | 7425 |  | Firefox 3 | 7425
 | Opera 533.16 | 7163 |  | Firefox 2 | 1134
 | Opera 531.21.10 | 3849 |  | Other | 1090
 | Firefox 3.6 | 2542
 | Opera 531.9 | 1542
 | Firefox 2.0.0.20 | 1134
 | Firefox 3.6.2 | 1018
Spreadsheet: 59994d1260522184-excel-2007-vertical-to-horizontal-conversion-vlookup-performance-order-submit
Sheet: Profit

OrderID | Company | Contact Name | Address 1 | Address 2 | City | State | Zip Code | Country | Phone | [NAME] | Invoice Value | Insurance Value | Notes | Service |  | Item1 | Item2 | Item3 | Item4 | Item5 | Item6 | Item7 | Item8 | Item9 | Item10 | Item11 | Item12 | Item13 | Item14 | Item15 | Item16 | Item17 | Item18 | Item19 | Item20
1001 | Some Company | Cust A | Addr 1 |  | City 1 | State 1 | ZipCode 1 | AU | 1111111111 | [EMAIL] | 22.95 |  |  | EMS |  | 1001-1
1002 | Some Company | Cust B | [NAME] |  | City 2 | State 2 | ZipCode 2 | NZ | 1111111111 | [EMAIL] | 22.95 |  |  | EMS |  | 1002-1
1003 | Some Company | Cust C | [NAME] |  | City 3 | State 3 | ZipCode 3 | NZ | 1111111111 | [EMAIL] | 32.95 |  |  | FedEx |  | 1003-1
1005 | Some Company | Cust D | [NAME] |  | City 4 | State 4 | ZipCode 4 | NZ | 1111111111 | [EMAIL] | 22.95 |  |  | EMS |  | 1005-1
1006 | Some Company | Cust E | Addr 5 |  | City 5 | State 5 | ZipCode 5 | NZ | 1111111111 | [EMAIL] | 32.95 |  |  | FedEx |  | 1006-1
1008 | Some Company | Cust F | [NAME] 6 |  | City 6 | State 6 | ZipCode 6 | NZ | 1111111111 | [EMAIL] | 32.95 |  |  | FedEx |  | 1008-1
1009 | Some Company | Cust G | Addr 7 |  | City 7 | State 7 | ZipCode 7 | NZ | 1111111111 | [EMAIL] | 714.85 |  |  | FedEx |  | 1009-1 | 1009-2
1010 | Some Company | Cust H | [NAME] 8 |  | City 8 | State 8 | ZipCode 8 | NZ | 1111111111 | [EMAIL] | 244.95 |  |  | EMS |  | 1010-1 | 1010-2
1011 | Some Company | Cust I | [NAME] 9 |  | City 9 | State 9 | ZipCode 9 | NZ | 1111111111 | [EMAIL] | 254.95 |  |  | FedEx |  | 1011-1 | 1011-2
1012 | Some Company | Cust J | [NAME] 10 |  | City 10 | State 10 | ZipCode 10 | NZ | 1111111111 | [EMAIL] | 234.95 |  |  | EMS |  | 1012-1 | 1012-2
1013 | Some Company | Cust K | Addr 11 |  | City 11 | State 11 | ZipCode 11 | NZ | 1111111111 | [EMAIL] | 30 |  |  | FedEx |  | 1013-1
1014 | Some Company | Cust L | [NAME] 12 |  | City 12 | State 12 | ZipCode 12 | NZ | 1111111111 | [EMAIL] | 978.3 |  |  | EMS |  | 1014-1 | 1014-2 | 1014-3 | 1014-4 | 1014-5 | 1014-6 | 1014-7 | 1014-8 | 1014-9 | 1014-10 | 1014-11 | 1014-12 | 1014-13 | 1014-14 | 1014-15 | 1014-16 | 1014-17 | 1014-18 | 1014-19 | 1014-20
Spreadsheet: 477630d1472427007-excel-approval-tracker-logic-school-sub-contract-drawing-tracker
Sheet: Steel

 |  |  |  |  |  |  |  |  |  | Red lettering = returned late
 |  |  |  |  |  |  |  |  |  | Not yet returned
 |  |  |  |  |  |  |  |  |  | A status
 |  |  |  |  |  |  |  |  |  | B status
 |  |  |  |  |  |  |  |  |  | C status
 | STEEL
 | Community School
 |  |  | DATE OF ISSUE
 |  |  |  |  |  | ISS | O+W |  |  |  | ISS | O+W
 |  |  |  | Rev | Issued | Approved | Approved | Comments | Rev | Issued | Approved | Approved | Comments |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Returned
DRAWING TITLE |  |  | [NAME]
3D View  Community School |  |  | G [1] | A | 20.07.16 | C |  | Insufficent Information
Column Schedule |  |  | G [2] | A | 20.07.16 | C |  | Incorrect measurements
Member [NAME] |  |  | G [3] | A | 20.07.16 | C |  | Incorrect setting out
Member [NAME] (2) |  |  | G [4] | A | 20.07.16 | C |  | Incorrect levels / sizes
Member [NAME] (3) |  |  | G [5] | A | 20.07.16 | C |  | Incorrect sizes
Spreadsheet: brad_mckay__1422__Wk 15 Results 
Sheet: Sheet3

Teams |  | Team #9 | Pts. | TM |  | Team#10 | Pts. | TM |  | Team #11 | Pts. | TM
 |  | [NAME] |  |  |  | Moose/[NAME] |  |  |  | Walker/Bryce
QB's | X | [NAME] | 3 | [NAME] |  | [NAME] |  | GB | X | Grabac | 4 | KC
 |  | [NAME] |  | [NAME] | X | Gannon | 2 | Oak |  | [NAME] |  | [NAME]
Rec | X | [NAME] | 2.5 | Minn |  | [NAME] |  | Chi | X | [NAME] | 3 | Car
 | X | [NAME] | 1 | [NAME] | X | [NAME] | 1 | Oak | X | K. McCardell | 2 | [NAME]
 | X | [NAME] | 1 | Clev | X | Az-Zahir Hakim | 0 | STL |  | D. Boston |  | Ariz
 |  | J. Pathon |  | Indy | X | [NAME] | 0 | Balt | X | [NAME] | 1 | KC
 |  | [NAME] |  | Ariz |  | [NAME] |  | Buf |  | [NAME] |  | TB
RB's | X | [NAME] | 1 | [NAME] | X | [NAME] | 0 | Jets | X | [NAME] | 6 | [NAME]
 |  | Autry |  | [NAME] |  | [NAME] |  | NO | X | C. Dillion | 0 | [NAME]
 | X | [NAME] | 4 | Chi | X | [NAME] | 0 | Pitt |  | [NAME] |  | Buf
 |  | [NAME] |  | KC |  | [NAME] |  | Dal |  | K. Faulk |  | NE
Rookies | X | [NAME] | 3 | Balt | X | Edinger | 1.25 | Chi | X | [NAME] | 2 | Oak
 |  | [NAME] |  | KC |  | [NAME] |  | Buf |  | [NAME] |  | [NAME]
Kickers |  | Richey |  | SF | X | Vanderjagt | 3.75 | Indy | X | O. Mare | 1.75 | [NAME]
 | X | M. Stover | 1.75 | Balt |  | [NAME] |  | Buf |  | Carney |  | SD
Defense |  | Tampa Bay |  |  |  | Philadelphia |  |  | X | Jacksonville | 2
 | X | Denver | 9 |  | X | Green Bay | 6 |  |  | Detroit
week total
golden toe
 |  |  | 0 |  |  |  | 0 |  |  |  | 0