tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 50847d1250359840-formula-for-months-to-years-conversion-help-695788-compound-interest
Sheet: Sheet1

Compound Calculator
 |  |  |  |  | Period
CD Amount: | 10000 |  |  |  | Years | Quarters | Months | Days
Term: | 7 |  | [NAME] | Interval | 1 | 4 | 12 | 365
Period: | Years |  | Daily | 365 | 10785.2986915782 | 10190.79450602542 | 10063.19792947561 | 10002.07141674317
[NAME]: | Monthly |  | Monthly | 12 | 10784.94406429418 | 10190.71073508801 | 10063.17035537975 | 10002.07051570296
Annual Interest Rate: | 0.0108 |  | Quarterly | 4 | 10784.21203882757 | 10190.5378076806 | 10063.1134340047 | 10002.06865567257
Maturity Value: | 10784.94406429418 |  | Yearly | 1 | 10780.94009187849 | 10189.76476340882 | 10062.85896824245 | 10002.06034032297
Spreadsheet: 868488d1715204553-help-with-formula-to-count-unique-records-invoice-example
Sheet: Invoice Example

Emp ID | Coverage
00001 | DENTAL
00318 | VISION
00318 | HEALTH
00176 | HEALTH
18817 | HEALTH
18817 | DENTAL
18817 | DENTAL
18817 | HEALTH
17212 | VISION
17212 | HEALTH
17212 | DENTAL
17212 | DENTAL
Spreadsheet: 740386d1626311675-data-validation-choose-one-equipment-checkout
Sheet: Equipment

[NAME]'s | Splicer's Used Count | Splicer's Available | Locator's | Locator's Used | Locator's Available | Rodder's | Rodder's Used | Rodder's Available
Spokane Splicer #1 |  |  | Spokane Locator #1 |  |  | Spokane Rodder #1 (300')
Spokane Splicer #2 |  |  | Spokane Locator #2 |  |  | Spokane Rodder #2 (300')
Spokane Splicer #3 |  |  | Spokane Locator #3 |  |  | Spokane Rodder #3 (500')
Spokane Splicer #4 (Repair) |  |  | Spokane Locator #4
Spokane Splicer #5
 | [NAME] | Splicer's Available | Locator List |  |  | Rodder List
[NAME] Tester | Battery Tester Used | Battery Tester Available | Spokane Optical Power Meter | Power Meter Used | Power Meter Available Available
[NAME] Tester #1 |  |  | Spokane Optical Power Meter #1
 | Battery Tester List |  |  | Power [NAME]
Spokane OTDR | Spokane OTDR Used | Spokane OTDR Availble
Spokane OTDR #1
Spokane OTDR #2
 | OTDR List
Spreadsheet: 855e1f12-f111-4516-a4ef-fa40254e2760
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
TOMA | Test | TOMA | Tomato, IgE | Tomato, IgE | Fluorescence Enzyme Immunoassay (FEIA) | Serum Gel Tube: SGT |  |  | 0.5 | mL | Container/Tube: Preferred: Red top Acceptable: Serum gel [NAME]: 0.5 mL for each 5 allergens requested Additional Information: Designate specific allergens from the list in Allergens-IgE Antibodies in Special Instructions. Forms: If not ordering electronically, submit an Allergen Request Form (Supply T236) with the specimen. | For 1 allergen: 0.3 mL/For more | Hemolysis	Mild OK; Gross OK Thawing	Warm reject; Cold OK Lipemia	Mild OK; [NAME] OK Icterus	NA Other	NA | Class	IgE kU/L	Interpretation 0	<0.35	Negative 1	0.35-0.69	Equivocal 2	0.70-3.49	Positive 3	3.50-17.4	Positive 4	17.5-49.9	Strongly positive 5	50.0-99.9	Strongly positive 6	> or =100	Strongly positive Reference values apply to all ages. | Monday through Friday 9 a.m.-8 p.m.; Saturday 8 a.m.-3 p.m. | Same day/1 day | 3 days | 1 | 86003 |  |  |  |  | Rochester
TOMA | [NAME] | SERUM | Serum |  |  |  | Refrigerated | 14 days
TOMA | Result | TOMA | Tomato, IgE | Tomato, IgE | Numeric |  |  |  |  | kU/L |  |  |  |  |  |  |  |  |  | 6266-1 | Lycopersicon lycopersicum Ab.IgE:ACnc:Pt:Ser:Qn:
Spreadsheet: 853047d1703001884-how-to-get-a-specific-result-using-if-formula-based-on-multiple-conditions-form-2-
Sheet:  Decommissioning Request Form

 |  |  |  |  |  | =IF(AND(COUNTA($C$5:$C$7)=3,$C$9<>"",$C$14<>"",$C$22<>"",$C$30<>"",COUNTA($C$33:$D$34)=4),1,0)
 |  |  |  |  |  | =IF(AND(LEN($C$10)=14,ISNUMBER($C$10+0)),1,0)
 |  |  |  |  |  | =IF(OR(AND($C$6="USA",$C$11<>""),AND($C$6<>"USA",$C$11="")),1,0)
To Be Completed by Requestor | Decommissioning Product | Enter Product Details |  |  |  | =IF(AND(C14="Partial Batch Decommissioning",C20<>"",E42="QUANTITY MATCH"),1,0)
 | Supply Site or Market Warehouse or LOC | GSK |  |  |  | =iF(AND(B19="SGTIN Level",C19<>""),1,0)
 | Market (Lead Market) | Sweden |  |  |  | =IF(AND(B19="Case Level",COUNT(C19:D19)=2),1,0)
 | Batch (Lot Number) | ASDFGH |  |  |  | =IF(AND(B19="Pallet [NAME])
 | SKU Code | 60987654789876 |  |  |  | =IF(AND(B19="Cases + Pallets",COUNT(D19,E19)=2),1,0)
 | SKU Description | PANADOL |  |  |  | =IF(AND(B19="SGTIN + Cases",COUNT(C19,D19)=2),1,0)
 | GTIN | 03456789876544 |  |  |  | =IF(AND(B19="SGTIN + Pallets",COUNT(C19,E19)=2),1,0)
 | Case GTIN (for US Market Only) | N/A |  |  |  | ,=IF(AND(B19="SGTIN + Cases + Pallets",COUNT(C19:E19)=3),1,0)
 | Types of Decommissioning | Choose Type of Decommissioning
 | [NAME] with Rework | Partial Batch Decommissioning
 | [NAME] without Rework
 | Partial Batch Decommissioning
 | Choose Decommissioning Level | Enter SGTIN Quantity | Enter Case Quantity | Enter Pallet Quantity
 | SGTIN Level | 2 | 1
 |  | Case Level
 | Decommissioning Reason Codes | Choose Reason Code for Decommissioning |  | Description
 | FREE SAMPLE | DESTROYED
 | SAMPLE
 | DESTROYED
 | SUPPLIED
 | EXPORTED
 | OTHERS
 | [NAME]
 | RECALL
 | Decommissioning Comments (if any) | N/A
 | Role | MUD ID | Name
 | Data Provider | X | A
 | Quality Approver | X | B
 | SUMMARY |  |  | DRF Completion Status  (For details, refer row 20 in Instructions sheet)
To Be Completed by Requestor | Quantity of Serial Number/SGTINs Entered | Quantity of Cases Entered | Quantity of Pallets Entered | Verification: (For details, refer row 23 in Instructions sheet)
 | Enter Serial numbers / SGTINs to be decommissioned | Enter Case numbers (SGTINs / SSCCs) to be decommissioned | Enter [NAME] numbers (SSCCs) to be decommissioned
 | 17678987654345 | 1
 | 222
Spreadsheet: 216b5582-e0fa-4d61-a484-83297a184095
Sheet: SF-424A (6)

Applicant Name: |  |  |  | Award Number:
Budget Information - Non Construction Programs
OMB Approval No. 0348-0044
Section A - Budget Summary
 | Grant Program Function or Activity | Catalog of Federal Domestic Assistance Number | Estimated Unobligated Funds |  | New or Revised Budget
 |  |  | Federal | Non-Federal | Federal | Non-Federal | Total
 | (a) | (b) | (c ) | (d) | (e) | (f) | (g)
1. | Previous Projects | 10.17
2.
3.
4.
5. | Totals
Section B - Budget Categories
6. | Object Class Categories |  | Grant Program, Function or Activity |  |  |  | Total (5)
 |  |  | Previous Projects | (17) | (18) | (19)
 | [NAME]
 | [NAME]
 | c.  Travel
 | d.  Equipment
 | e.  Supplies
 | f.  Contractual
 | g.  Construction
 | h.  Other
 | i.  Total Direct Charges (sum of 6a-6h)
 | j.  Indirect Charges
 | k.  Totals (sum of 6i-6j)
7. | Program Income
 |  |  |  |  |  |  | SF-424A (Rev. 4-92)
Previous Edition Usable |  |  |  |  |  | Prescribed by OMB Circular A-102
Authorized for Local Reproduction
Section C - Non-Federal Resources
 | (a) Grant Program |  |  | (b) Applicant | (c ) State | (d) Other Sources | (e) Totals
8.
9.
10.
11.
12. | Total (sum of lines 8 - 11)
Section D - Forecasted Cash Needs
 |  |  | Total for 1st Year | 1st Quarter | 2nd Quarter | 3rd Quarter | 4th quarter
13. | Federal
14. | Non-Federal
15. | Total (sum of lines 13 and 14)
Section E - Budget Estimates of Federal Funds Needed for Balance of the Project
(a) Grant Program |  |  |  | Future Funding Periods (Years)
 |  |  |  | (b) First | (c ) Second | (d) Third | (e) Fourth
16.
17.
18.
19.
20. | Total (sum of lines 16-19)
Section F - Other Budget Information
21. Direct Charges |  |  |  | 22. Indirect Charges
23.  [NAME]
 |  |  |  |  |  |  | SF-424A (Rev. 4-92)
Previous Edition Usable |  |  |  |  |  |  | Prescribed by OMB Circular A-102
 |  | Authorized for Local Reproduction
Spreadsheet: 30400d1225901644-help-reorganising-presenting-my-data-book3
Sheet: Sheet1

PROJECT NAME |  |  |  |  |  |  | CURRENT PHASE | NUMBER
LEEDS | [NAME] | [NAME] | [NAME] | [NAME] | [NAME] | [NAME] | PHASE A | 1
MANCHESTER | [NAME] | [NAME] | [NAME] | [NAME] | [NAME] | [NAME] | PHASE B | 1
LIVERPOOL | [NAME] | [NAME] | [NAME] | [NAME] | [NAME] | [NAME] | PHASE D | 1
LONDON | [NAME] | [NAME] | [NAME] | [NAME] | [NAME] | [NAME] | PHASE E | 2
NEWCASTLE | [NAME] | [NAME] | [NAME] | [NAME] | [NAME] | [NAME] | PHASE A | 3
SUNDERLAND | [NAME] | [NAME] | [NAME] | [NAME] | [NAME] | [NAME] | PHASE A | 3
WALES | [NAME] | [NAME] | [NAME] | [NAME] | [NAME] | [NAME] | PHASE C | 3
SCOTLAND | [NAME] | [NAME] | [NAME] | [NAME] | [NAME] | [NAME] | PHASE E | 4
Spreadsheet: 727435d1617894233-sumif-not-correct-using-but-using-is-correct-explain-me-weird-sumif-version-2-
Sheet: Sheet2

Customer Code | Qty
501 | 1 |  |  |  | not equal to Text 501 |  |  | only sum Text 501
0501 | 20 |  |  |  | not equal to Text 0501 |  |  | only sum Text 0501
00501 | 300 |  |  |  | not equal to Text 00501 |  |  | only sum Text 00501
000501 | 4000 |  |  |  | not equal to Text 000501 |  |  | only sum Text 000501
501 | 50000 |  |  | <>501 | not equal to number 501 |  | 501 | only sum 501 and number >0
 |  |  |  |  |  |  | 501 | only sum 501 and <>*  not any text
 |  |  |  | 00501 | text or number  501
 |  |  |  | 501 | text or number  501
 |  |  |  | 0000501 | text or number  501
 |  |  |  | 501 | text or number  501
Spreadsheet: 752228d1634656792-how-to-take-the-highest-score-of-repeated-data-forumhelp_10-19
Sheet: Sheet1

name | take an exam | score |  | name | take an exam | score
sela | First time | 66 |  | sela | Second time | 87
hellen | First time | 56 |  | hellen | Second time | 98
[NAME] | First time | 78 |  | [NAME] | Third time | 89
cheves | First time | 47 |  | cheves | Second time | 87
dee | First time | 56 |  | dee | Fourth time | 69
sela | Second time | 87 |  |  |  |  | Table 2
hellen | Second time | 98
[NAME] | Second time | 67
cheves | Second time | 87
dee | Second time | 43
sela | Third time | 62
hellen | Third time | 82
[NAME] | Third time | 89
cheves | Third time | 71
dee | Third time | 50
sela | Fourth time | 61
hellen | Fourth time | 85
[NAME] | Fourth time | 73
cheves | Fourth time | 30
dee | Fourth time | 69
 |  |  | Table 1
Spreadsheet: 50782d1250259468-help-with-list-and-functions-brm
Sheet: Sheet1

Starting BR | 500
Running BR
Profits
Total Buy-ins
Total Winnings
ROI
SNG
MTT
Cash
Game Type | Date | Buy-in | Return | Profits | Play Don't Play Results
SNG |  | 6
Spreadsheet: 674723d1587996584-return-a-cell-in-a-chart-by-matching-x-and-y-axis-look-up-to-chart
Sheet: Sheet1

X | Y |  |  |  |  | 0 | 1 | 2 | 3 | 4
4 | 4 | y |  |  | 0 | a | b | c | d | e
3 | 2 | n |  |  | 1 | f | g | h | i | j
4 | 3 | t |  |  | 2 | k | l | m | n | o
2 | 4 | w |  |  | 3 | p | q | r | s | t
1 | 3 | q |  |  | 4 | u | v | w | x | y
Spreadsheet: ca9ad1bf-251b-4468-b2ba-57794094a212
Sheet: 3.4 Table

3.4  Household debt and household saving ratios
Quarter | 2010–11 | 2011–12 | 2012-13 | 2013-14 | 2014-15
Household debt ratio (a) – per cent
September | 150.3463581233465 | 146.3895961965 | 145.4645367470688 | 148.3704686673181
December | 149.6515517278864 | 145.9920154778005 | 145.6785214751236 | 149.3759335270802
March | 148.1328523315402 | 146.1035938349493 | 146.2539567496277 | 150.2406065229709
June | 147.1514608298124 | 145.1539770900035 | 147.7307147650614 | 151.1236926436441
Household debt servicing ratio (b) - per cent
September | 11.05168940104374 | 11.09457056148282 | 10.04342775561632 | 9.00860554922599
December | 11.21222207052985 | 10.82603680359675 | 9.685129704996353 | 8.894717623336613
March | 11.16625794890432 | 10.55391338616598 | 9.495947103943408 | 8.881503012663506
June | 11.1974016008843 | 10.08658525426922 | 9.343125700225526 | 8.848334130748146
Household saving ratio (c) – per cent
September | 9.5 | 11.2 | 9.4 | 9.9 | 9.3
December | 10.7 | 11.5 | 9.9 | 9.7
March | 10.7 | 10.4 | 11.1 | 9.7
June | 9.9 | 11.8 | 10.4 | 9.5
Annual average (d) | 10.2 | 11.225 | 10.2 | 9.7
(a) Calculated by the RBA using original (for debt) and seasonally adjusted (for household income) data.
(b ) Calculated by the RBA using seasonally adjusted data.
(c) Seasonally adjusted.
(d) Year ending June.
Sources:
ABS, Australian National Accounts: National Income, Expenditure and Product,
Cat. no. 5206.0 (for the household saving ratio).
Reserve Bank of Australia, Statistics Tables, Household and Business Finances (Table E2) |  |  |  |  |  |  |  | Update
for the household debt and debt servicing ratios. |  |  |  |  |  |  |  | 4 March 2015 (Savings ratio)
 |  |  |  |  |  |  |  | Last business Friday of December 2014 (Debt ratios)
Spreadsheet: 36449d1234328300-trim-function-sample-trim-func
Sheet: Sheet1

14 | - | - | -
91245 | - | - | -
10 | - | - | -
71,334 | - | - | -
5 | - | - | -
34,385 | - | - | -
23 | 4 | 1 | 5
148,422 | 9,473 | 5,000 | 14,473
64 | 4 | 38 | 42
389,552 | 16,325 | 223,083 | 239,408
12 | 3 | 9 | 12
25,429 | 3,014 | 22,224 | 25,238
3 | 1 | 2 | 3
1,552 | 636 | 916 | 1,552
131 | 12 | 50 | 62
761,919 | 29,448 | 251,222 | 280,670
24 | - | - | -
268,861 | - | - | -
137 | - | - | -
991,620 | - | - | -
179 | - | - | -
1266894 | - | - | -
182 | 6 | 6 | 12
1303506 | 1,793 | 65,865 | 67,658
174 | 8 | 38 | 46
677,177 | 27,225 | 108,654 | 135,879
139 | 6 | 82 | 88
446,036 | 8,490 | 268,633 | 277,123
11 | 2 | 9 | 11
11,180 | 763 | 10,417 | 11,180
846 | 22 | 135 | 157
4965274 | 38,271 | 453,569 | 491,840
38 | - | - | -
360,106 | - | - | -
147 | - | - | -
1062954 | - | - | -
184 | - | - | -
1301279 | - | - | -
205 | 10 | 7 | 17
1451929 | 11,266 | 70,865 | 82,131
238 | 12 | 76 | 88
1066729 | 43,550 | 331,737 | 375,287
151 | 9 | 91 | 100
471,465 | 11,504 | 290,857 | 302,361
14 | 3 | 11 | 14
12,732 | 1,399 | 11,333 | 12,732
977 | 34 | 185 | 219
5727193 | 67,719 | 704,791 | 772,511
27 | - | 1 | 1
77,709 | - | 0 | 0
653 | 1 | - | 1
2408962 | 4,830 | - | 4,830
734 | 1 | 4 | 5
2626981 | 5,850 | 708 | 6,558
824 | 298 | - | 298
2871523 | 1034352 | - | 1034352
32 | 32 | - | 32
98,928 | 98,928 | - | 98,928
2,480 | 332 | 5 | 337
8137688 | 1143960 | 708 | 1144668
131 | - | - | -
31,744 | - | - | -
79 | - | - | -
21,841 | - | - | -
27 | - | 1 | 1
77,709 | - | 0 | 0
653 | 1 | - | 1
2408962 | 4,830 | - | 4,830
734 | 1 | 4 | 5
2626981 | 5,850 | 708 | 6,558
824 | 298 | - | 298
2871523 | 1034352 | - | 1034352
32 | 32 | - | 32
98,928 | 98,928 | - | 98,928
2,480 | 332 | 5 | 337
8137688 | 1143960 | 708 | 1144668
1 | - | - | -
9,990 | - | -  2,073 | -   2,073
1 | - | - | -
24,265 | - | - | -
3 | - | 2 | 2
25,571 | - | 7,000 | 7,000
16 | 1 | 9 | 16
118,658 | 301 | 69,176 | 118,653
- | - | - | -
- | - | - | -
23 | 1 | 11 | 18
261,917 | 301 | 123,279 | 170,683
1 | - | - | -
9,990 | - | -  2,073 | -   2,073
1 | - | - | -
24,265 | - | - | -
3 | - | 2 | 2
25,571 | - | 7,000 | 7,000
38 | 10 | 20 | 36
242,669 | 22,511 | 140,691 | 212,379
3 | 3 | - | 3
4,954 | 5,004 | - | 5,004
51 | 10 | 28 | 44
390,881 | 22,511 | 194,794 | 264,408
Spreadsheet: 75957d1276549850-consolidate-multiple-sheets-testing2
Sheet: Europe(Need)

 | Country | State | Company1 | Company2 | SP | Pilot | Probability | Value | Month | CriteriaA | CriteriaB | [NAME] | CriteriaD | CriteriaE | CriteriaF | CriteriaG | CriteriaH
 | Hungary |  | Becks |  | Scott | Yes | 0.9 | 10 | June | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10
 | Sweden |  | Gillette |  | [NAME] | No | 0.1 | 15 | June | 20 | 20 | 20 | 20 | 20 | 20 | 20 | 20
 | France |  | Budweiser |  | Mark | Yes | 0.2 | 100 | May | 30 | 30 | 30 | 30 | 30 | 30 | 30 | 30
 | Germany |  | Holston |  | [NAME] | No | 0.3 | 25 | August | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40
 | England |  | Black Sheep |  | [NAME] | Yes | 0.6 | 55 | April | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50
 |  |  |  |  |  | Total |  | 205
Spreadsheet: 440230d1452703184-vacation-tracking-from-an-anniversary-date-from-year-to-year-vacation-tracking-2015
Sheet: July

Employee Absence Schedule
July | Dates of Absence
Employee Name | 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 | Total Hours
A
B
C
D
E
F
G
H
I
J |  | 8 |  |  |  |  |  |  |  | 8 | 8 | 8 | 8
K
L
M
N
O
Spreadsheet: 803537d1667525261-if-function-with-a-formula-in-output-rba-project-planner-with-graph
Sheet: Phases

 | Cash/S.A.C. |  | Annual Price Increase (years after phase 1)
# Phases | 3 |  | 1 | 2 | 3 | 4 | 5 | 6
Today Project Cost |  |  | 0.11 | 0.11 | 0.1 | 0.08 | 0.07 | 0.05
Phase 1
Phase 1 Cost | 10000
Downpayment | 0
Term (months) | 16
Monthly Pay
Phase 2 (yrs?) | 2
Phase 2 Cost | 10000
Downpayment | 1000
Rate Factor
Term (months) | 16
Future Phase Cost
Monthly Pay
Phase 3 (yrs?) | 4
Phase 3 Cost | 10000
Downpayment | 0
Rate Factor
Term (months) | 16
Future Phase Cost
Monthly Pay
Phases Total Cost
Easy-Pay Total Cost
Spreadsheet: 857888d1706745258-formula-to-add-the-next-consecutive-letter-to-a-concat-cell-demo
Sheet: Manual Timesheets

Worksheet
Manual Entry | Manual Entry | Visual helper to show each day separated out on the invoice | Result I want the formula to produce
Date | Invoice # | Ticket Demo Helper | Ticket #
2024-01-04 00:00:00 | 24-001 |  | 24-001A
2024-01-04 00:00:00 | 24-001 |  | 24-001A
2024-01-05 00:00:00 | 24-001 |  | 24-001B
2024-01-13 00:00:00 | 24-001 |  | 24-001C
2024-01-05 00:00:00 | 24-002 |  | 24-002A
2024-01-05 00:00:00 | 24-002 |  | 24-002A
2024-01-06 00:00:00 | 24-002 |  | 24-002B
2024-01-06 00:00:00 | 24-002 |  | 24-002B
2024-01-07 00:00:00 | 24-002 |  | 24-002C
2024-01-07 00:00:00 | 24-002 |  | 24-002C
2024-01-08 00:00:00 | 24-002 |  | 24-002D
2024-01-13 00:00:00 | 24-002 |  | 24-002E
2024-01-13 00:00:00 | 24-002 |  | 24-002E
2024-01-08 00:00:00 | 24-003 |  | 24-003A
2024-01-08 00:00:00 | 24-003 |  | 24-003A
2024-01-09 00:00:00 | 24-003 |  | 24-003B
2024-01-09 00:00:00 | 24-003 |  | 24-003B
2024-01-13 00:00:00 | 24-003 |  | 24-003C
Spreadsheet: 862486d1710201419-sum-vlookup-or-any-function-that-is-not-in-my-mind-to-solve-my-problem-trial-forum
Sheet: Sheet1

Block ID | Green (LM) total
52 | 3590
53 | 3510
54 | 3540
55 | 3100
56 | 2940
Week 12 |  |  |  |  | 2023-03-20 00:00:00
 | Total |  |  | By Variety | Blocks /
Crop | Scheduled | Variety | % | Scheduled | Rows | Actual
Spinach | 0 | Tundra | 0.5 |  | 53,54,55 | 10150
 |  | Harp | 0
1950/m |  | Acadia | 0
gear B11 |  | El Furio | 0.5 |  | 56
 |  | 2157 | 0
 |  | Yuma | 0
Spreadsheet: 791279d1660237016-cross-reference-person-date-from-database-sample-technician-tracker
Sheet: Details

 | Name | Job Title | Supervisor | Press # | Process
 | Person 1 | Process Technician | Sup 1 | Press 01 | Die Set
 | Person 2 | Shift Technician | Sup 2 | Press 03 | Set Up
 | Person 3 | Process Engineer | Sup 3 | Press 06 | Start Up
 | Person 4 | Press Maintenance | Sup 4 | Press 07
 | Person 5 | Press Maintenance | Sup 5 | Press 08
 | Person 6 | Molder | Sup 6 | Press 09
Spreadsheet: 32968c73-1cf3-4af7-952f-f42845f243e5
Sheet: Sheet1

Battle ID | Date & Time | Side | Victory | Score | Opp. Score | Opp. ID | Opp. Name | Scenario ID | Front | Start Date | End Date | Name EN | Name FR
44185198 | 2014-11-26 03:38:22 | ALLIES | 0 | 3 | 6 | 679790 | Hermann | 11520 | western | 1944-06-06 |  | Omaha Beach- Easy Green & Dog Red
44185936 | 2014-11-26 05:05:03 | ALLIES | 0 | 5 | 8 | 679790 | Hermann | 15357 |  | 1940-12-24 |  |  | WWZ 2 : L'attaque de Vladivostok
44186058 | 2014-11-26 05:22:00 | ALLIES | 1 | 8 | 6 | 679790 | Hermann | 15357 |  | 1940-12-24 |  |  | WWZ 2 : L'attaque de Vladivostok
Spreadsheet: mark_taylor__24750__TOP25_finc_cps
Sheet: Sheet1

Counterparty | Contact | Telephone
AEP Energy Services, Inc. | [NAME] | [PHONE]
BP Amoco Corporation | [NAME] | [PHONE]
CMS Marketing Services and Trading | [NAME] | [PHONE]
Calpine Energy Services, L.P. | [NAME] | [PHONE]
Cinergy Marketing & Trading LLC | [NAME] | [PHONE]
Coastal Merchant Energy, L.P. | [NAME] | [PHONE]
Connectiv Energy Supply, Inc. | [NAME] | [PHONE]
Coral Energy Holding, L.P. | Christina Tise | [PHONE]
Duke Energy Trading and Marketing, LLC | [NAME] | [PHONE]
Dynegy Marketing and Trade | [NAME] | [PHONE]
El Paso Merchant Energy - Gas, L.P. | [NAME] | [PHONE]
Engage Energy Canada L.P. | [NAME] | [PHONE]
Hess Energy Trading Company LLC | [NAME] | [PHONE]
Koch Energy Trading, Inc. | Troy Martin | [PHONE]
Mieco Inc. | [NAME] | [PHONE]
Morgan Stanley Capital Group Inc. | [NAME] | [PHONE]
PG&E Energy Trading - Gas Corporation | [NAME] | [PHONE]
Phibro Inc. | [NAME] | [PHONE]
Reliant Energy Services, Inc. | [NAME] | [PHONE]
Sempra Energy Trading Corp. | [NAME] | [PHONE]
Southern Company Energy Marketing LP | [NAME] | [PHONE]
Texaco Natural Gas Inc.
Tractebel Energy Marketing, Inc. | [NAME] | [PHONE]
Utilicorp United, Inc. | [NAME] | [PHONE]
Williams Energy Marketing & Trading | [NAME] | [PHONE]
Spreadsheet: 267045d1379921118-using-hlookup-for-deriving-a-value-lookup
Sheet: Sheet1

Aug | Channel A | 20
Sep | Channel A | 25 |  |  | Channel | Jul | Aug | Sep
Jul | Channel A | 15 |  |  | Channel A
Aug | Channel B | 35 |  |  | Channel B
Sep | Channel B | 40
Jul | Channel B | 30
Spreadsheet: joe_parks__14817__bridgeline 6-26
Sheet: Sheet1

b/s | contract | price | volume | time | cm | account | cti | order # | trader | reference | trade #
S | NGN2 | 3440 | 1 | 16:35:09 | 905 | 97563 | 4C | 1881 | [NAME] | EO-1881 | 573 | 0 | Y
S | NGN2 | 3440 | 14 | 16:37:33 | 905 | 97563 | 4C | 1881 | [NAME] | EO-1881 | 583 | 0 | Y
S | NGN2 | 3440 | 5 | 23:29:39 | 905 | 97563 | 4C | 4212 | amk | EO-4212 | 2155 | 0 | Y
S | NGN2 | 3440 | 15 | 01:51:33 | 905 | 97563 | 4C | 4212 | amk | EO-4212 | 2350 | 0 | N
S | NGN2 | 3475 | 15 | 08:05:07 | 905 | 97563 | 4C | 4521 | amk | [NAME] | 3563 | 0 | N
B | [NAME] | 3465 | 5 | 17:40:20 | 905 | 97563 | 4C | 3032 | amk | EO-3032 | 1291 | 0 | Y
B | [NAME] | 3465 | 15 | 17:43:32 | 905 | 97563 | 4C | 3032 | amk | EO-3032 | 1297 | 0 | Y
S | [NAME] | 3494 | 20 | 06:13:54 | 905 | 97563 | 4C | 4190 | amk | EO-4190 | 3007 | 0 | N
B | [NAME] | 3510 | 2 | 08:49:37 | 905 | 97563 | 4C | 6352 | [NAME] | EO-6352 | 3776 | 0 | N
B | [NAME] | 3510 | 4 | 08:49:38 | 905 | 97563 | 4C | 6352 | [NAME] | EO-6352 | 3777 | 0 | N
B | [NAME] | 3510 | 4 | 08:49:43 | 905 | 97563 | 4C | 6352 | [NAME] | EO-6352 | 3778 | 0 | N
S | [NAME] | 3510 | 10 | 16:41:32 | 905 | 97563 | 4C | 1909 | [NAME] | EO-1909 | 702 | 0 | Y
Spreadsheet: 70862d1271600221-excel-line-graphs-average-example-of-data-and-graph
Sheet: Sheet1

Time | recorded values
10:27:33.600000 | 5.220800000000001
10:32:33.600000 | 3.2968
10:37:33.600000 | 2.7976
10:42:33.600000 | 2.7976
10:47:33.600000 | 4.815200000000001
10:52:33.600000 | 3.172
10:57:33.600000 | 4.2744
11:02:33.600000 | 2.8288
11:07:33.600000 | 4.5552
11:12:33.600000 | 3.3384
11:17:33.600000 | 2.8288
11:22:33.600000 | 3.7024
11:27:33.600000 | 2.5792
11:32:33.600000 | 3.6504
11:37:33.600000 | 3.2448
11:42:33.600000 | 2.4232
11:47:33.600000 | 2.5064
11:52:33.600000 | 2.1008
11:57:33.600000 | 1.768
12:02:33.600000 | 1.6016
12:07:33.600000 | 2.756
12:12:33.600000 | 3.9728
12:17:33.600000 | 3.5464
12:22:33.600000 | 4.139200000000001
12:27:33.600000 | 2.0904
12:32:33.600000 | 1.8928
12:37:33.600000 | 3.6296
12:42:33.600000 | 3.5464
12:47:33.600000 | 1.9448
12:52:33.600000 | 2.8912
12:57:33.600000 | 1.8304
13:02:33.600000 | 1.4768
13:07:33.600000 | 2.392
13:12:33.600000 | 1.3416
13:17:33.600000 | 0.8112
13:22:33.600000 | 0.6968000000000001
13:27:33.600000 | 0.6344
13:32:33.600000 | 0.5824
13:37:33.600000 | 0.5616
13:42:33.600000 | 0.5408
13:47:33.600000 | 0.6136
13:52:33.600000 | 0.6344
13:57:33.600000 | 0.6344
14:02:33.600000 | 0.6344
14:07:33.600000 | 0.6136
14:12:33.600000 | 0.6032000000000001
14:17:33.600000 | 0.5928
14:22:33.600000 | 0.5720000000000001
14:27:33.600000 | 0.5616
14:32:33.600000 | 0.5512
14:37:33.600000 | 0.5304
14:42:33.600000 | 0.52
14:47:33.600000 | 0.5096
14:52:33.600000 | 0.5096
Spreadsheet: 828701d1683704940-summing-the-number-portion-of-cells-with-numbers-and-text-book1-test
Sheet: Sheet1

 | 4 | W | W | 4.
 |  |  | 1 | W | 1 | W | 2.
 |  | 64 | W | 2 | 2 | W | 68.
 |  | 1 | 2 | 4 | 6. | 1 | 1.
 | 1 | 2 | W | W | W | 3.
 |  |  |  |  | 2 | 1 | 3.
SUB
SUB "." | 0 | 0 | 0 | 4 | 6 | 3 | 74 | <[NAME] to calculate this row?