tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 3ef4ca39-7102-43ec-bfc5-a499168d3422
Sheet: Sheet1

Test Referenced | Entry Type | Mayo ID | Description | Reporting Description | Method | Collection Container | Temperature | Stability | [NAME] | Unit of Measure | [NAME] | Minimum Volume | Reject Due To | Reference Values | Days/Times Performed | Analytic Time | Maximum Lab Time | CPT Units | CPT Code | LOINC® Code | LOINC® Attributes | Always Performed | Orderable Separately | Performing Location
TTIG | Test | TTIG | Tetanus Toxoid IgG Antibody Assay, Serum | Tetanus Toxoid [NAME], S | Enzyme Immunoassay (EIA) | Serum Gel Tube: SGT |  |  | 0.5 | mL | Container/Tube: Preferred: Red top Acceptable: Serum gel [NAME]: 0.5 mL | 0.4 mL | Hemolysis	Mild OK; Gross reject Thawing	Warm reject; Cold OK Lipemia	Mild OK; Gross reject Icterus	NA Other	NA | The minimum level of protective antibody in the normal population is between 0.01 and 0.15 IU/mL. The majority of vaccinated individuals should demonstrate protective levels of antibody >0.15 IU/mL. | Monday through Friday; 3 p.m. | Same day/1 day | 4 days | 1 | 86774 |  |  |  |  | Rochester
TTIG | [NAME] | SERUM | Serum |  |  |  | Refrigerated | 14 days
TTIG | Result | TTIG | Tetanus Toxoid [NAME], S | Tetanus Toxoid [NAME], S | Numeric |  |  |  |  | IU/mL |  |  |  |  |  |  |  |  |  | 53935-3
Spreadsheet: 870055d1716561952-sumifs-criteria-not-working-help4
Sheet: DROP DOWNS

 | Jobs Fair |  |  |  |  | On Site |  | ["Provider"]
 | Employer |  |  |  |  | Virtual
 |  |  |  |  |  | Off Site
 |  |  |  |  |  | Telephone
Spreadsheet: 824364d1680526416-hlookup-problem-book1
Sheet: Sheet1 (2)

70.1 | 70.2 | 70.3 | 70.4 | 70.5 | 70.6 | 70.7 | 70.8000000000001 | 70.9000000000001 | 71.0000000000001 | 71.1000000000001 | 71.2000000000001 | 71.3000000000001 | 71.4000000000001 | 71.5000000000001 | 71.6000000000001
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16
 |  |  |  |  |  | 70.6
Spreadsheet: 0f0ee057-2171-4e82-9df0-2b773e5af3da
Sheet: Sheet1

Table 10--U.S. actual and projected cotton acreage | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4
 | Actual | Actual | Projected
State/region | 2010 | 2011 | 2012 1/ | 2012/2011
 | 1,000 acres |  |  | Percent
Upland:
Alabama | 340 | 460 | 400 | 86.95652173913044
Florida | 92 | 122 | 110 | 90.1639344262295
Georgia | 1330 | 1600 | 1400 | 87.5
N. Carolina | 550 | 805 | 700 | 86.95652173913044
S. Carolina | 202 | 303 | 340 | 112.2112211221122
Virginia | 83 | 116 | 95 | 81.89655172413794
Southeast | 2597 | 3406 | 3045 | 89.40105695830887
Arkansas | 545 | 680 | 590 | 86.76470588235294
Louisiana | 255 | 295 | 270 | 91.52542372881356
Mississippi | 420 | 630 | 580 | 92.06349206349206
Missouri | 310 | 375 | 375 | 100
Tennessee | 390 | 495 | 420 | 84.84848484848484
Delta | 1920 | 2475 | 2235 | 90.30303030303031
Kansas | 51 | 80 | 55 | 68.75
Oklahoma | 285 | 415 | 350 | 84.33734939759037
Texas | 5550 | 7550 | 6800 | 90.06622516556291
Southwest | 5886 | 8045 | 7205 | 89.55873213175886
Arizona | 195 | 250 | 200 | 80
California | 124 | 182 | 150 | 82.41758241758241
New Mexico | 48 | 68 | 50 | 73.52941176470588
West | 367 | 500 | 400 | 80
Total upland | 10770 | 14426 | 12885 | 89.31789823929017
Pima:
Arizona | 2.5 | 10 | 4 | 40
California | 182 | 273 | 250 | 91.57509157509158
New Mexico | 2.7 | 3.4 | 3 | 88.23529411764706
Texas | 17 | 20 | 13 | 65
Total Pima | 204.2 | 306.4 | 270 | 88.1201044386423
Total All | 10974.2 | 14732.4 | 13155 | 89.29298688604707
1/  Planting intentions as indicated by reports from farmers.
Last updated: 4/11/12.
Source: USDA, Prospective Plantings.
Spreadsheet: 023a9580-dce3-4857-aa0a-4cf9d3aed864
Sheet: Sheet1

 |  |  |  |  |  | Fiscal Fitness Training Guide
 |  |  |  |  |  | with Heartland Bank
 |  |  |  |  |  |  | Start the year off with a checkup of the things
 |  |  |  |  |  |  | that are most important to your fiscal fitness
 |  |  |  |  |  |  | Customer Name:
 |  |  |  |  |  |  | Date:
 | Category |  |  |  |  |  |  | Recommendations
 | Identify Your Goals:
 |  | Did you make progress toward your goals in 2012?
 |  | Where have you fallen short?  Can you figure out why?
 |  | Do you have a budget?
 |  | Do you have a personal financial statement?
 | Evaluate Changes in your Personal Situation:
 |  | Were there any changes in your personal situation last year?
 |  | Job change, getting married, getting divorced, a new baby in the family, retiring, buying a house all can change your income or lifestyle.  Do you anticipate any changes like this in 2013?
 |  | Did you revise your budget to reflect changes?
 | Protect Your Assets:
 |  | Is your homeowner's or renters insurance adequate for your 2013 needs?
 |  | Does your home need major repairs or renovation?
 |  | Health insurance?  Do you have a high deductible plan with a Health Savings Account?  Are you maximizing your interest earnings?
 |  | Is your income protected with long-term disability insurance?
 | Protect Your Heirs:
 |  | Review your will or estate plan.
 |  | Update for any changes in your personal situation.
 | Evaluate Your Investments:
 |  | Review the rate of return on each of your investments.
 |  | Are you satisfied that the rate of return is equal to or better than the rest of the market?
 |  | Is regular savings and investment part of your monthly budget?
 |  | Would you benefit from a consultation with our Investment Representative?
 | Category |  |  |  |  |  |  | Recommendations
 | Evaluate Your Debts:
 |  | List your mortgage, installment loans and credit cards.  List the outstanding balance and interest rate for each.  Is it time to refinance?
 |  | What is your debt to income ratio?  Is it time to make an adjustment to improve the ratio?
 |  | How is your credit rating?  Have you obtained your free credit report in the past year?
 |  | What can you do to improve your credit score?
 | Reduce Your Income Taxes: |  |  |  |  |  |  | Note:  We can't give you tax advice, but we are encouraging you to think about the tax impact on your financial health.
 |  | Do you itemize your deductions?  Review the list of allowable deductions, and take advantage of any for which you are eligible.
 |  | Plan your tax year ahead so you can maximize deductions, contributions or gifts.
 | Review Your Retirement Plans:
 |  | Do you have a 401 (k) Plan?
 |  | Review the rate of return on each of the investments in the plan.  Are you satisfied that the rate of return is equal to or better than the rest of the market?
 |  | Are you contributing to your 401 (k) as much as your budget allows?
 |  | Do you have an IRA?
 |  | Do you have other retirement savings?
 | Next Steps:
 | Follow Up Plans:
Spreadsheet: 62270d1263244234-league-spreadsheet-2010league_1_11_10
Sheet: Schedule

Schedule
 |  |  |  |  |  |  |  | On the setup Sheet, specify how many pairings happen each week
week | team no | team name | vs | team no | team name |  |  | E.g. 20 teams per week would be 10 pairings
1 | 10 | Fletched_Tite |  | 1 | McNellys_Rangers |  |  | Then, create that many lines per week
1 | 9 | Spots_with_Speed |  | 2 | Spot_Smokers |  |  | and enter the team numbers in the yellow cells
1 | 8 | Out_of_Towners |  | 3 | Killer_Vs |  |  | leave no blank lines.
1 | 7 | RDs_Whitetails |  | 4 | Passing_Time |  |  | use formatting to separate weeks by color
1 | 6 | Wise_Guys |  | 5 | Lucky_Stables
2 | 5 | Lucky_Stables |  | 6 | Wise_Guys |  |  | The purple cells have formulas and must be copied down
2 | 4 | Passing_Time |  | 7 | RDs_Whitetails
2 | 3 | Killer_Vs |  | 8 | Out_of_Towners |  |  | There should always be the same number of pairings per week
2 | 2 | Spot_Smokers |  | 9 | Spots_with_Speed
2 | 1 | McNellys_Rangers |  | 10 | Fletched_Tite |  |  | The number of pairings per week must be the same as the number
3 | 9 | Spots_with_Speed |  | 10 | Fletched_Tite |  |  | entered on the Setup Sheet.
3 | 8 | Out_of_Towners |  | 9 | Spots_with_Speed
3 | 7 | RDs_Whitetails |  | 8 | Out_of_Towners |  |  | color key
3 | 6 | Wise_Guys |  | 7 | RDs_Whitetails |  |  | data entry
3 | 5 | Lucky_Stables |  | 6 | Wise_Guys |  |  | calculated
4 | 4 | Passing_Time |  | 5 | Lucky_Stables
4 | 3 | Killer_Vs |  | 4 | Passing_Time
4 | 2 | Spot_Smokers |  | 2 | Spot_Smokers
4 | 1 | McNellys_Rangers |  | 3 | Killer_Vs
4 | 10 | Fletched_Tite |  | 2 | Spot_Smokers
5 | 8 | Out_of_Towners |  | 2 | Spot_Smokers
5 | 7 | RDs_Whitetails |  | 3 | Killer_Vs
5 | 6 | Wise_Guys |  | 4 | Passing_Time
5 | 5 | Lucky_Stables |  | 5 | Lucky_Stables
5 | 4 | Passing_Time |  | 6 | Wise_Guys
6 | 3 | Killer_Vs |  | 7 | RDs_Whitetails
6 | 2 | Spot_Smokers |  | 8 | Out_of_Towners
6 | 1 | McNellys_Rangers |  | 9 | Spots_with_Speed
6 | 10 | Fletched_Tite |  | 10 | Fletched_Tite
6 | 9 | Spots_with_Speed |  | 1 | McNellys_Rangers
Spreadsheet: 818725d1677015385-trying-to-create-a-xref-table-from-winning-cribbage-pairs-scoresheetexample
Sheet: Sheet1

 |  |  |  |  | 16th February 2023
Players |  |  |  | Teams |  |  |  | Dealer | Winning combinations
A | B | C | D
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | A | B | C | D
W | 113 | W | 113 |  |  |  |  |  |  |  |  |  |  | A |  | 4 | 5 | 1
W | W | 101 | 101 |  |  |  |  |  |  |  |  |  |  | B | 4 |  | 4 | 1
112 | W | W | 112 |  |  |  |  |  |  |  |  |  |  | C | 5 | 4 |  | 1
W | 73 | W | 73 |  |  |  |  |  |  |  |  |  |  | D | 1 | 1 | 1
W | W | 95 | 95
106 | W | W | 106
W | 99 | W | 99
110 | 110 | W | W
W | 99 | 99 | W
107 | W | 107 | W
W | W | 91 | 91
113 | W | W | 113
W | 108 | W | 108
W | W | 87 | 87
115 | W | W | 115
W | 105 | W | 105
 |  |  |  | Wins
 |  |  |  | Points
Spreadsheet: 841304d1693493579-match-date-on-two-different-pages-and-paste-data-in-columns-ef-file
Sheet: Fri Day

 | CR1 | Priority
1 | Alinity RV | 1
2 | Alinity RV | 2
3 | Alinity RV | 3
4 | Alinity RV | 4
5 | Alinity RV | 5
12 | [NAME] | 9
13 | [NAME] | 8
9 | Architect RV | 7
15 | [NAME] | 10
17 | Alinity RV | 6
 | CR2 | Priority
74 | Side Cassette*** | 1
78 | PP1 | 2
79 | [NAME] | 3
77 | 6ul | 4
87 | [NAME] | 5
53 | Architect RV | 6
61 | Siemens Lids | 8
66 | [NAME] | 9
86 | Cepheid Bottom | 10
62 | NP 227 | 11
67 | NP 228 | 12
88 | [NAME] | 7
 | CR3
201 | Mask | 1
205 | Mask | 2
Spreadsheet: darrell_schoolcraft__7334__imball0203
Sheet: Oasis

POI  8516
 | Measured | Scheduled | Imbal
1 | -26847 | -26700
2 | -25036 | -25000
3 | -30383 | -30000
4 | -25426 | -25000
5 | -29173 | -28993
6 | -105729 | -105327
7 | -25466 | -25000
8 | -5471 | -5000
9 | -10250 | -10000
10 | -10341 | -10000
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
2002-02-28 00:00:00 |  |  | 86201.55
2002-03-10 00:00:00
CBS Volume
 |  |  | 39515
Spreadsheet: 585119d1533637666-date-calculation-example
Sheet: Sheet1

Item No | Description | Stock | Remaining | Current Ave | Weeks worth | Enough to last | 2018-08-06 00:00:00 | 2018-08-13 00:00:00 | 2018-08-20 00:00:00 | 2018-08-27 00:00:00 | 2018-09-03 00:00:00 | 2018-09-10 00:00:00 | 2018-09-17 00:00:00 | 2018-09-24 00:00:00 | 2018-10-01 00:00:00 | 2018-10-08 00:00:00 | 2018-10-15 00:00:00 | 2018-10-22 00:00:00 | 2018-10-29 00:00:00 | 2018-11-05 00:00:00 | New Average | Uplift from Q4 | Anticipate OOS
SKU1 | Product 1 | 60 |  | 5 |  |  | 7 | 6 | 8 | 10 | 4 | 5 | 6
Spreadsheet: 186762d1350205239-creating-a-formula-to-populate-data-in-particular-cells-based-on-conditions-in-other-cells-media-tracking-sheet
Sheet: Media Summary Sheet

Region/Store | Campaign | Date(s) | Medium | TV Supplier | Radio Supplier | Spend | Reach (%) | 3+ Frequency (%) | TARPS | Spots | Result (1-5) | Feedback
 |  |  |  |  |  |  |  |  |  |  |  |  |  | Legend | Legend 1 | Legend 2 | Legend 3 | Legend 4
 |  |  |  |  |  |  |  |  |  |  |  |  |  | ACT | 1 | TV | Seven Network | 97.3
 |  |  |  |  |  |  |  |  |  |  |  |  |  | Adelaide | 2 | Radio | Nine Network | Triple M
 |  |  |  |  |  |  |  |  |  |  |  |  |  | Brisbane | 3 |  | Network Ten | Beat 105
 |  |  |  |  |  |  |  |  |  |  |  |  |  | Gold Coast | 4 |  | NBN | Nova
 |  |  |  |  |  |  |  |  |  |  |  |  |  | Melbourne | 5 |  | Prime7 | Sea FM
 |  |  |  |  |  |  |  |  |  |  |  |  |  | Newcastle |  |  | SCA | Gold FM
 |  |  |  |  |  |  |  |  |  |  |  |  |  | Perth |  |  | WIN | Hot Tomato
 |  |  |  |  |  |  |  |  |  |  |  |  |  | Sydney |  |  |  | 2Day
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Mix
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | WSFM
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Fox FM
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 92.9
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 96FM
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | NXFM
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | KOFM
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | SAFM
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 104.7
Spreadsheet: 540835d1507009176-check-count-between-two-cells-check-count-between-two-cells-off-days-check
Sheet: Check

 |  |  |  |  |  |  |  | Tue | Wed | Thur | Fri | Sat | Sun | Mon | Tue | Wed | Thur | Fri | Sat | Sun | Mon | Tue | Wed | Thur | Fri | Sat | Sun | Mon | Tue | Wed | Thur | Fri | Sat | Sun | Mon | Tue | Wed | Thur
STAFF NO. | NAME | NORMAL DAYS | SL(Full) | SL(Half) | SL(Nill) | OVERTIME (Off Days) | OVERTIME (Hours) | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 | INTERVAL |  |  |  | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | A | B | C | D | E | F | G | H | I | J | K
1 | [NAME] | 31 | 0 | 0 | 0 | 0 | 15 | - | - | - | OFF | OFF | - | - | - | - | - | OFF | OFF | - | - | - | - | - | OFF | OFF | - | - | - | - | - | OFF | OFF | - | - | - | - | -
2 | Cameroon | 31 | 0 | 0 | 0 | 1 | 38 | - | - | - | OFF | OFF | - | - | - | - | - | OFF | OFF | - | - | - | - | - | OFF | OFF | - | - | - | - | - | OFF | OFF | - | - | - | - | -
3 | Sachin | 31 | 0 | 0 | 0 | 1 | 11.5 | - | - | - | - | OFF | OFF | - | - | - | - | - | - | OFF | OFF | - | - | - | - | - | - | OFF | OFF | - | - | - | - | - | - | OFF | OFF | -
4 | Tendulkar | 27 | 0 | 0 | 0 | 0 |  | - | - | - | - | OFF | OFF | - | - | - | - | - | OFF | OFF | - | - | - | - | - | OFF | OFF | - | - | - | - | - | OFF | OFF | - | - | - | -
5 | Rahul | 30 | 1 | 0 | 0 | 0 |  | OFF | - | - | - | - | - | OFF | OFF | - | - | - | - | - | OFF | - | - | - | - | OFF | - | - | - | - | - | OFF | OFF | - | - | - | - | -
6 | [NAME] | 31 | 0 | 0 | 0 | 0 |  | - | - | - | - | OFF | OFF | - | - | - | - | - | OFF | OFF | - | - | - | - | - | OFF | OFF | - | - | - | - | - | OFF | OFF | - | - | - | -
7 | Narain | 20 | 0 | 0 | 0 | 0 |  | - | - | - | OFF | OFF | - | - | - | - | - | OFF | OFF | - | - | - | - | - | OFF | OFF | - | - | - | - | - | - | - | - | - | - | - | -
8 | Karthik | 31 | 0 | 0 | 0 | 0 |  | - | - | OFF | OFF | - | - | - | - | - | OFF | OFF | - | - | - | - | - | OFF | OFF | - | - | - | - | - | OFF | OFF | - | - | - | - | - | -
9 | Dhoni | 31 | 0 | 0 | 0 | 0 |  | - | OFF | OFF | - | - | - | - | - | OFF | OFF | - | - | - | - | - | OFF | OFF | - | - | - | - | - | OFF | OFF | - | - | - | - | OFF | OFF | -
10 | Singh | 12 | 0 | 0 | 0 | 0 | 8.75 | - | - | - | OFF | OFF | - | - | - | - | - | OFF | OFF | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | -
Spreadsheet: 464088d1464871937-monthly-financial-statement-help-pl-budget-by-store-by-month-excel
Sheet: Summary Store 2

 | 2014 | 2015 | 2016 | AVERAGE
Revenue | 262572.59 | 334394.65 | 394953.4299999999 | 330640.2233333333
% of AVERAGE | 0.7941338393522941 | 1.011355020961505 | 1.194511139686201
[NAME] | -162674.74 | -247639.73 | -257032.59 | -222449.02
% of Sales | 0.6195419712316507 | 0.7405612799128216 | 0.6507921452916614
Gross Profit | 99897.84999999998 | 86754.91999999998 | 137920.84 | 108191.2033333333
 | 0.3804580287683493 | 0.2594387200871784 | 0.3492078547083386 | 0.3272173066017466
Payroll | -66472.28 | -65857.44 | -50015.89000000001 | -60781.87
% of Sales | 0.2531577267832869 | 0.1969452561516759 | 0.126637436722603
Expenses | -45660.20000000001 | -34115.09 | -33502.6 | -37759.29666666667
% of Sales | 0.1738955311367421 | 0.1020204420136506 | 0.084826709822472
Net Income | -12234.63000000003 | -13217.61000000002 | 54402.34999999995 | 9650.363883973245
% of Sales | -0.04659522915167968 | -0.03952697807814812 | 0.1377437081632636
Spreadsheet: 19c0aedd-94d4-4c51-9aa6-2201710fcb86
Sheet: Sheet1

TFs for which [NAME] | TFs for which | TFs for which | Novel predictions: TFs for
and DRIM predict the | DRIM and [NAME] | [NAME] predicts | which DRIM predicts and
same motif | predictions are different | and DRIM does not | [NAME] does not
27 | 5 | 11 | 50
ABF1 | [NAME] | DAL82 | ABT1
AFT2 | SFP1 | HSF1 | ARG81
CAD1 | SIP4 | PDR1 | ARO80
BAS1 | THI2 | PHD1 | ARR1
CBF1 | [NAME] | PHO2 | ASH1
DIG1 |  | [NAME] | CRZ1
FHL1 |  | RLR1 | DAL81
GAL4 |  | SIG1 | DAT1
[NAME] |  | SPT2 | DOT6
GLN3 |  | YAP1 | [NAME]
INO2 |  | ZAP1 | GCR2
LEU3 |  |  | HAA1
MET4 |  |  | [NAME]
MSN2 |  |  | [NAME]
[NAME] |  |  | HIR1
RCS1 |  |  | HIR3
RDS1 |  |  | HMS2
[NAME] |  |  | HOG1
SKN7 |  |  | IME1
SOK2 |  |  | [NAME]
SPT23 |  |  | IXR1
STB1 |  |  | [NAME]
STB4 |  |  | MAL33
STB5 |  |  | MET31
TEC1 |  |  | MET32
YDR026c |  |  | MIG1
SUM1 |  |  | [NAME]
 |  |  | OAF1
 |  |  | PUT3
 |  |  | RIM101
 |  |  | [NAME]
 |  |  | RPI1
 |  |  | RTG1
 |  |  | [NAME]
 |  |  | SNF1
 |  |  | STB6
 |  |  | STP1
 |  |  | STP2
 |  |  | TBS1
 |  |  | [NAME]
 |  |  | UGA3
 |  |  | YAP3
 |  |  | YAP5
 |  |  | YBR267W
 |  |  | YDR049W
 |  |  | YDR266c
 |  |  | YFL052w
 |  |  | YJL206C
 |  |  | YKR064W
 |  |  | YOX1
Spreadsheet: 123171d1317389010-absence-reporting-in-excel-2007-count-20of-20absence-1-
Sheet: Sheet1

Employee ID | Known as | Surname | Reason | 2010-01-01 00:00:00 | Absence Type | Count of Days
123456 | [NAME] | Bloggs | SICK | 2010-08-09 00:00:00 | Consecutive Days
123456 | [NAME] | Bloggs | SICK | 2010-08-10 00:00:00 | Consecutive Days
123456 | [NAME] | Bloggs | SICK | 2010-09-03 00:00:00 | Single Day
123456 | [NAME] | Bloggs | SICK | 2010-09-07 00:00:00 | Consecutive Days
123456 | [NAME] | Bloggs | SICK | 2010-09-08 00:00:00 | Consecutive Days
123456 | [NAME] | Bloggs | SICK | 2010-09-09 00:00:00 | Consecutive Days
123456 | [NAME] | Bloggs | SICK | 2010-09-10 00:00:00 | Consecutive Days
123456 | [NAME] | Bloggs | SICK | 2010-09-13 00:00:00 | Consecutive Days
123456 | [NAME] | Bloggs | SICK | 2010-09-14 00:00:00 | Consecutive Days
123456 | [NAME] | Bloggs | SICK | 2010-09-15 00:00:00 | Consecutive Days
123456 | [NAME] | Bloggs | SICK | 2010-09-16 00:00:00 | Consecutive Days
123456 | [NAME] | Bloggs | SICK | 2010-09-17 00:00:00 | Consecutive Days
123456 | [NAME] | Bloggs | SICK | 2010-10-08 00:00:00 | Single Day
123456 | [NAME] | Bloggs | SICK | 2010-11-22 00:00:00 | Single Day
123456 | [NAME] | Bloggs | SICK | 2011-01-24 00:00:00 | Consecutive Days
123456 | [NAME] | Bloggs | SICK | 2011-01-25 00:00:00 | Consecutive Days
123456 | [NAME] | Bloggs | SICK | 2011-01-26 00:00:00 | Consecutive Days
123456 | [NAME] | Bloggs | SICK | 2011-05-23 00:00:00 | Consecutive Days
123456 | [NAME] | Bloggs | SICK | 2011-05-24 00:00:00 | Consecutive Days
123456 | [NAME] | Bloggs | SICK | 2011-06-06 00:00:00 | Consecutive Days
123456 | [NAME] | Bloggs | SICK | 2011-06-07 00:00:00 | Consecutive Days
123456 | [NAME] | Bloggs | SICK | 2011-07-14 00:00:00 | Consecutive Days
123456 | [NAME] | Bloggs | SICK | 2011-07-15 00:00:00 | Consecutive Days
555555 | Ian | [NAME] | Sick | 2011-08-01 00:00:00 | Consecutive Days
555555 | Ian | [NAME] | Sick | 2011-08-02 00:00:00 | Consecutive Days
555555 | Ian | [NAME] | Sick | 2011-08-03 00:00:00 | Consecutive Days
555555 | Ian | [NAME] | Sick | 2011-08-04 00:00:00 | Consecutive Days
555555 | Ian | [NAME] | Sick | 2011-08-24 00:00:00 | Consecutive Days
555555 | Ian | [NAME] | Sick | 2011-08-25 00:00:00 | Consecutive Days
654321 | Mark | Smith | Sick | 2011-02-16 00:00:00 | Single Day
654322 | Mark | Smith | Sick | 2011-02-22 00:00:00 | Consecutive Days
654323 | Mark | Smith | Sick | 2011-02-23 00:00:00 | Consecutive Days
654324 | Mark | Smith | Sick | 2011-02-24 00:00:00 | Consecutive Days
654325 | Mark | Smith | Sick | 2011-02-25 00:00:00 | Consecutive Days
654325 | Mark | Smith | Sick | 2011-09-30 00:00:00 | Single Day
987654 | Fred | Trueman | Sick | 2011-07-01 00:00:00 | Single Day
Spreadsheet: 885417d1734964100-see-last-post-for-additions-need-help-with-autofilling-information-template
Sheet: Shipping Information

Box # | Description | Tracking Number | Weight
1 | Shelves (4), Cable Managers (5), IP/Aux Speakers, VSS PC, IP Phone Mounts (6), 4G Device, [NAME], and Access Points (6) | [NAME] via Pallet Tracking Number | 85
2 | Donor WiFi Router |  | 23
3 | Primary Router |  | 23
4 | Back |  | 23
5 | [NAME] |  | 13
6 | Swtich 1 |  | 21
7 | Swtich 2 |  | 21
8 | Swtich 3 |  | 21
9 | Swtich 4 |  | 21
10 | PDU 1 |  | 17
11 | PDU 2 |  | 17
12 | PDU 3 |  | 17
13 | Ipanema MPLS |  | 8
14 | Ipanema VPN |  | 8
15 | Speaker [NAME] |  | 3
16 | Speaker [NAME] |  | 3
Spreadsheet: 80502d1280752503-how-to-extract-data-easily-delivery-trial
Sheet: Sheet1

SYSTEM | SU25KF
 | late/early
Data | early | late | (blank) | Grand Total
Count of late/early | 3 | 1 |  | 4
Average late/early | 9.333333333333334 | -7 | 0 | 4.2
Average from ordered to received | 40 | 59 | 50.16666666666666 | 48
Spreadsheet: 173b3307-149a-4bde-81b9-2da2489ed350
Sheet: Denial Rate Trend By Income

 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012
0-30% MFI
31-50% MFI
51-80% MFI
81-95% MFI
>95% MFI
Spreadsheet: 114331d1310080115-top-ten-oldest-and-top-ten-newest-book2
Sheet: One option

Top Ten Oldest
This column should show:
Asset tag # | Date purchased | Years in service
Asset tag # | Date purchased | Years in service
Asset tag # | Date purchased | Years in service
Asset tag # | Date purchased | Years in service
Asset tag # | Date purchased | Years in service
Asset tag # | Date purchased | Years in service
Asset tag # | Date purchased | Years in service
Asset tag # | Date purchased | Years in service
Asset tag # | Date purchased | Years in service
Asset tag # | Date purchased | Years in service
They don’t have to be in separate cells - - it might be displayed as (Asset Tag # value) date [Years in service value] or something similar
Top Ten Newest
Asset tag # | Date purchased | Years in service
Asset tag # | Date purchased | Years in service
Asset tag # | Date purchased | Years in service
Asset tag # | Date purchased | Years in service
Asset tag # | Date purchased | Years in service
Asset tag # | Date purchased | Years in service
Asset tag # | Date purchased | Years in service
Asset tag # | Date purchased | Years in service
Asset tag # | Date purchased | Years in service
Asset tag # | Date purchased | Years in service
Spreadsheet: 220592d1363199541-get-largest-value-based-on-month-selected-test
Sheet: Sheet1

Month | Amount |  | Rank | Amount |  |  |  |  | MonthList
2013-01-01 00:00:00 | 9407.991605730576 |  | 1 |  |  |  |  |  | 2013-01-01 00:00:00
2013-01-01 00:00:00 | 8599.17103053795 |  | 2 |  |  |  |  |  | 2013-02-01 00:00:00
2013-01-01 00:00:00 | 8814.151343046848 |  | 3 |  |  |  |  |  | 2013-03-01 00:00:00
2013-01-01 00:00:00 | 6542.637405693724 |  | 4 |  |  | False
2013-01-01 00:00:00 | 5811.650715091882 |  | 5
2013-01-01 00:00:00 | 6776.752119241803 |  |  |  |  | 2013-01-01 00:00:00
2013-01-01 00:00:00 | 7948.739399032433
2013-01-01 00:00:00 | 7103.213673478218
2013-02-01 00:00:00 | 3622.265826766091
2013-02-01 00:00:00 | 3873.069533321689
2013-02-01 00:00:00 | 2075.719650582011
2013-02-01 00:00:00 | 3388.276539589388
2013-02-01 00:00:00 | 1320.410143593028
2013-02-01 00:00:00 | 4388.196993591638
2013-02-01 00:00:00 | 9215.154448306974
2013-02-01 00:00:00 | 3428.465636472641
2013-02-01 00:00:00 | 4413.275481824902
2013-03-01 00:00:00 | 4784.621245966126
2013-03-01 00:00:00 | 8921.831688461334
2013-03-01 00:00:00 | 6339.300607716208
2013-03-01 00:00:00 | 9128.230205321477
2013-03-01 00:00:00 | 4004.325702396445
2013-03-01 00:00:00 | 4227.540181670186
2013-03-01 00:00:00 | 222.7467352492707
2013-03-01 00:00:00 | 7882.533330750765
Spreadsheet: 342836d1409696050-event-calendar-with-recurring-event-140902_-calendar-of-events-2014-_-test
Sheet: Event Calendar - AUG

 |  |  |  | EVENT CALENDAR
 |  |  |  |  |  | ENTER MONTH: | August
 |  |  |  |  |  | ENTER YEAR: | 2014
 |  |  |  |  |  | ENTER START DAY: | Sunday
 | TO EVENT LIST >>
 |  |  | INDUSTRY:FSI Second Round submissions due