tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: chris_germany__1835__DecCohCHOICE-ENA
Sheet: Dec 13

 | COH CHOICE NOMINATIONS TO ACTUALS
 | FOR GAS DAY |  |  |  |  |  |  |  | 2000-12-13 00:00:00
 |  | MA | NOM ID |  | FT |  | AT |  | FORECASTED |  | ACTUALS |  | CONTRACT # | % Storage | Over | Sto | [NAME]
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | FT DROP |  | AT DROP
 | COH 3-15 | 22-15 | 3342 |  |  |  |  |  | 1644 |  |  |  | 67694 |  |  |  |  |  | 19 | 1 | x
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 21 | 2 | x
 | COH 5-2 | 23N-02 | 3343 |  |  |  |  |  | 7076 |  |  |  | 67694 |  |  |  |  |  | 20 | 3 | x
 |  |  |  |  |  |  |  |  | 5000 |  |  |  | 68918 | 0 |  |  |  |  | 20 | 4 | x
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 23 | 5 | x
 | COH 5-7 | 23N-07 | 3344 |  |  |  |  |  | 2776 |  |  |  | 67694 |  |  |  |  |  | 21 | 6 | x
 |  |  |  |  |  |  |  |  | 1535 |  |  |  | 68915 | 0 |  |  |  |  | 20 | 7 | x
 |  |  |  |  |  |  |  |  | 1540 |  |  |  | 69693 | 0 |  |  |  |  | 23 | 8 | x
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 22 | 9 | x
 | COH 7-1 | 23-01 | 3788 |  |  |  |  |  | 18991 |  |  |  | 67694 |  |  |  |  |  | 26 | 15 | x
 |  |  |  |  |  |  |  |  | 673 |  |  |  | 69149 | 0 |  |  |  |  | 20 | 35 | x
 |  |  |  |  |  |  |  |  | 0 |  |  |  | 68915 | 0 |  |  |  |  | 20 | 39 | x
 |  |  |  |  |  |  |  |  | 0 |  |  |  | 68918 | 0
 | COH 7-3 | 23-03 | 3789 |  |  |  |  |  | 2152 |  |  |  | 67694
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | %
 | COH 7-4 | 23-04 | 3345 |  |  |  |  |  | 1683 |  |  |  | 67694 |  |  |  |  |  | Storage
 |  |  |  |  |  |  |  |  | 1915 |  |  |  | 68916 | 0 |  |  |  |  | #67694
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0.7
 | COH 7-5 | 23-05 | 2777 |  |  |  |  |  | 16642 |  |  |  | 67694
 | COH 7-6 | 23-06 | 3346 |  |  |  |  |  | 2660 |  |  |  | 67694
 | COH 7-8 | 23-08 | 3790 |  |  |  |  |  | 4839 |  |  |  | 67694
 | COH 7-9 | 23-09 | 3791 |  |  |  |  |  | 6190 |  |  |  | 67694
 | COH 8-35 | 24-35 | 3348 |  |  |  |  |  | 1446 |  |  |  | 67694 | 1
 |  |  |  |  |  |  |  |  | 1000 |  |  |  | 69823 | 0
 | COH 8-39 | 24-39 | 3792 |  |  |  |  |  | 52 |  |  |  | 67694 | 1
 |  |  |  |  |  |  |  | x | 1.Nom to COH |  | 1. Email to COH |  |  |  |  |  |  | FOM
 |  |  |  |  |  |  |  | x | 2.Email to ENA |  | 2. Email to ENA |  |  |  |  |  |  | [NAME] from/(Sell to) ENA
Spreadsheet: 798609d1664576569-how-to-pigeon-hole-new-data-in-correct-column-how-to-pigeon-hole-new-data-in-excel
Sheet: Sheet0

data input:
sheet1 |  |  |  |  | sheet2
Year | Variable1 | Variable2 | Variable3 | Variable4 | Year | Variable2 | Variable4 | Variable3 | Variable1
2022 | 5 | some text | 1 |  | 2021 | some text2 | #NA | 4
2022 | 333 | other text | 3 |  | 2021 | other text2 | 4 | 1
2022 | 22 | blabla | 2 |  | 2021 | blabla2 | 0 | 4
desired outcome:
sheet3
Year | Variable1 | Variable2 | Variable3 | Variable4
2022 | 5 | some text | 1
2022 | 333 | other text | 3
2022 | 22 | blabla | 2
2021 |  | some text2 | 4 | #NA
2021 |  | other text2 | 1 | 4
2021 |  | blabla2 | 4 | 0
 | Variable1 | Variable2 | Variable3 | Variable4
2022 | 5 | some text | 1 | 0
2022 | 333 | other text | 3 | 0
2022 | 22 | blabla | 2 | 0
2021 | 0 | some text2 | 4 | #NA
2021 | 0 | other text2 | 1 | 4
2021 | 0 | blabla2 | 4 | 0
Spreadsheet: 333d7f91-4ce1-4fd6-b4e1-4217aca94d0e
Sheet: Exhibit A - Year 1

Section L - Attachment 7 - Price Schedule
DE-SOL-0003816
Base Year  (February 1, 2013 - January 31, 2014)
Total Contract
 | DPLH |  |  | Labor |  |  | Direct Labor Costs |  |  | Fringe Benefits |  |  | [NAME] |  |  | Onsite Overhead |  |  | Onsite | Total Costs
Cost Element |  |  |  | Straight | Over | Double | Straight | Over | Double |  |  |  |  |  |  |  |  |  | Overhead
 | Straight | Over | Double | Time | Time | Time | Time | Time | Time | Straight | Over | Double | Straight | Over | Double | Straight | Over | Double |  | Straight | Over | Double | Total
 | Time | Time | Time | Rate | Rate | Rate | Costs | Costs | Costs | Time | Time | Time | Time | Time | Time | Time | Time | Time | Rate | Time | Time | Time | Costs
Cost Plus Fixed Fee (CPFF) Tasks
**Prime Contractor Labor
Bargaining Employee:
Mechanic | 3630 | 100 | 60 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
Mobile Crane Inspector | 120
Laborer | 5625 | 150 | 90
Heavy Equipment Operator | 5625 | 150 | 90
Truck Driver | 5625 | 150 | 90
(Itemize each additional position)
Non-Bargaining Employees:
Program Manager | 1775 | 0
Operations & Maintenance Manager | 1775 | 0
Administrative Support/HR | 1775
Shop Manager | 1775 | 0
Supply Technician | 1775 | 20
Construction Technician
(Itemize each additional position)
Subtotal (Provide Subtotals for Each) |  |  |  |  |  |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
Subcontractor Labor (If Applicable)
(Itemize for Each Position)
Subtotal (Provide Subtotals for Each) | 0 |  |  |  |  |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 |  |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
Subtotal CPFF Labor Related Costs | 0 |  |  |  |  |  | 0 | 0 | 0 | 0 | 0 | 0 |  |  |  | 0 | 0 | 0 |  |  |  |  | 0
Other Direct Costs:
Material |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 500000
Construction |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 500000
Subtotal CPFF Costs | 0 |  |  |  |  |  | 0 | 0 | 0 | 0 | 0 | 0 |  |  |  | 0 | 0 | 0 |  |  |  |  | 0
G&A (Identify G&A Rate)
Total CPFF Proposed Costs
[NAME]
Total  Proposed CPFF Fee
Total [NAME] | 0 |  |  |  |  |  | 0 | 0 | 0 | 0 | 0 | 0 |  |  |  | 0 | 0 | 0 |  |  |  |  | 0
A 3% increase to be added to all labor for the following options.  (All hours and material/subcontracts remain the same)
*Note:  Fuel - Contractor shall not charge in excess of $.10 per gallon surcharge for sold fuel applicable to reservation activities.  No additional G&A, handling fee, or other direct or indirect charges will apply to this cost.
**The labor categories and hours may be adjusted at the discretion of the offeror in order to comply with the offeror's position in meeting the requirements of the solicitation.
Spreadsheet: ec081020-472a-47e0-b04f-dd992929dccb
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
36007330 | 2013-05-19 07:07:41 | ALLIES | 1 | 6 | 3 | 154281 | Mr [NAME] | 12505 | western | 1945-02-17 | 1945-02-20 | Moyland Wood | [NAME]
36007469 | 2013-05-19 07:22:13 | AXIS | 1 | 6 | 4 | 154281 | Mr [NAME] | 12505 | western | 1945-02-17 | 1945-02-20 | Moyland Wood | [NAME]
Spreadsheet: 80745b9d-3870-4590-b89f-3b377aeaaff3
Sheet: Sheet1

Table 1--Wheat: U.S. market year supply and disappearance, 12/12/2013 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9
Item and unit |  |  | 2007/08 | 2008/09 | 2009/10 | 2010/11 | 2011/12 | 2012/13 | 2013/14
 | Area: Planted | Million acres | 60.46 | 63.193 | 59.168 | 53.593 | 54.409 | 55.666 | 56.156
 | Harvested | Million acres | 50.999 | 55.699 | 49.893 | 47.619 | 45.705 | 48.921 | 45.157
 | Yield | Bushels per acre | 40.2 | 44.9 | 44.5 | 46.3 | 43.7 | 46.3 | 47.2
 | Supply: Beginning stocks | Million bushels | 456.153 | 305.818 | 656.505 | 975.637 | 862.246 | 742.62 | 717.889
 | Production | Million bushels | 2051.088 | 2499.164 | 2218.061 | 2206.916 | 1999.347 | 2266.027 | 2129.695
 | Imports 1/ | Million bushels | 112.631 | 126.971 | 118.59 | 96.92 | 112.069 | 122.756 | 160
 | Total supply | Million bushels | 2619.872 | 2931.953 | 2993.156 | 3279.473 | 2973.662 | 3131.403 | 3007.584
 | Disappearance: Food use | Million bushels | 947.865 | 926.769 | 918.92 | 925.641 | 941.387 | 945.028 | 950
 | Seed use | Million bushels | 87.615 | 78.045 | 69.471 | 70.889 | 76.199 | 73.014 | 73
 | Feed and residual use | Million bushels | 15.962 | 255.219 | 149.831 | 129.251 | 162.372 | 388.11 | 310
 | Total domestic use | Million bushels | 1051.442 | 1260.033 | 1138.222 | 1125.781 | 1179.958 | 1406.152 | 1333
 | Exports 1/ | Million bushels | 1262.612 | 1015.415 | 879.297 | 1291.446 | 1051.084 | 1007.362 | 1100
 | Total disappearance | Million bushels | 2314.054 | 2275.448 | 2017.519 | 2417.227 | 2231.042 | 2413.514 | 2433
 | Ending stocks | Million bushels | 305.818 | 656.505 | 975.637 | 862.246 | 742.62 | 717.889 | 574.584
 | Stocks-to-use ratio |  | 13.2157 | 28.8517 | 48.3583 | 35.6709 | 33.2858 | 29.7446 | 23.6163
 | Loan rate | Dollars per bushel | 2.75 | 2.75 | 2.75 | 2.94 | 2.94 | 2.94 | 2.94
 | Contract/direct payment rate | Dollars per bushel | 0.52 | 0.52 | 0.52 | 0.52 | 0.52 | 0.52 | 0.52
 | Farm price 3/ | Dollars per bushel | 6.48 | 6.78 | 4.87 | 5.7 | 7.24 | 7.77 | 6.65-7.15
 | Government payments | Million dollars | 1118
 | Market value of production | Million dollars | 13289.326 | 16625.759 | 10654.115 | 12827.254 | 14322.909 | 17607.0298 | 14694.8955
Latest market year is projected; previous market year is estimated. Totals may not add due to rounding. 1/ Includes flour and selected other products expressed in grain-equivalent bushels. 2/ Stocks owned by USDA's Commodity Credit Corporation (CCC). Most CCC-owned inventory is in the Bill Emerson Humanitarian Trust.
3/ U.S. season-average price based on monthly prices weighted by monthly marketings. Prices do not include an allowance for loans outstanding and government purchases. Source: USDA, World Agricultural Outlook Board, World Agricultural Supply and Demand Estimates and supporting materials.
Date run: [NAME]
Spreadsheet: 837586d1690275873-how-do-you-provide-points-based-on-a-defined-lookup-targets-table-points-based-on-value-working-generic-2
Sheet: Targets

 |  | Target |  | Pts
[NAME] | Test | 0.1 | <= | 10
[NAME] | Test | 0.13 | <= | 5
[NAME] | Test | 0.17 | <= | 2
[NAME] | Test | 0.17 | > | 0
Area2 | Test | 0.12 | <= | 10
Area2 | Test | 0.15 | <= | 7
Area2 | Test | 0.19 | <= | 4
Area2 | Test | 0.19 | > | 0
[NAME] | Test2 | 30 | <= | 10
[NAME] | Test2 | 40 | <= | 5
[NAME] | Test2 | 45 | <= | 2
[NAME] | Test2 | 45 | > | 0
Area2 | Test2 | 20 | <= | 10
Area2 | Test2 | 30 | <= | 7
Area2 | Test2 | 35 | <= | 4
Area2 | Test2 | 35 | > | 0
[NAME] | Test3 | 100 | >= | 10
[NAME] | Test3 | 70 | >= | 5
[NAME] | Test3 | 45 | >= | 2
[NAME] | Test3 | 45 | < | 0
Area2 | Test3 | 100 | >= | 10
Area2 | Test3 | 60 | >= | 7
Area2 | Test3 | 35 | >= | 1
Area2 | Test3 | 35 | < | 0
[NAME] | Test4 | 650 | <= | 10
[NAME] | Test4 | 695 | <= | 5
[NAME] | Test4 | 750 | <= | 2
[NAME] | Test4 | 750 | > | 0
Area2 | Test4 | 800 | <= | 10
Area2 | Test4 | 850 | <= | 7
Area2 | Test4 | 900 | <= | 1
Area2 | Test4 | 900 | > | 0
Spreadsheet: 677542d1589390731-search-a-number-in-a-sentence-sample-20-05-04
Sheet: Sample

 | Hello Experts, I need help please, I need a formula to search a number in a sentence. Example: In row 1, I will search a number that is greater than 50 (50 can be change anytime by the user from -100 to 300), so the answer is 150, 100, 75 & 201. The formula will be applicable from row 1 to row 5. In row 4, the answer is 135, 160 & 165. Thank you, [NAME] | Lag ([NAME]): | 10
A | B | VBA | TextJoin | Result
Row 1 | PE4620: PH 150, CE2110: AC -4, [NAME]: DC 5, ME2220: KL 100, ECE4310: CA 75, CM5620: UK 201, PM1100: AB 2 | 0;0;150;0;0;-4;0;0;5;0;0;100;0;0;75;0;0;201;0;0;2 | 0;0;0;0;0;0;0;0 | 150;100;75;201
Row 2 | CE2110: AC 50, CM5620: UK 250, ECE4310: CA 85, [NAME]: DC 6, ME2220: KL -3, PE4620: PH 75 | 0;0;50;0;0;250;0;0;85;0;0;6;0;0;-3;0;0;75 | 0;0;0;0;0;0;0;0 | 50;250;85;75
Row 3 | PM1100: AB 1, PE4620: PH -5, ME2220: KL 140, EE3110: DC 95, ECE4310: CA 200, CE2110: AC 3 | 0;0;1;0;0;-5;0;0;140;0;0;95;0;0;200;0;0;3 | 0;0;0;0;0;0;0;0 | 140;95;200
Row 4 | EE3110: DC 135, ME2220: KL -9, CM5620: UK 165 | 0;0;135;0;0;-9;0;0;165 | 0;0;0;0;0;0;0;0 | 135;165
Row 5 | PM1100: AB -19, CE2110: AC 90, ECE4310: CA 210, PE4620: PH 30 | 0;0;0;0;90;0;0;210;0;0;30 | 0;0;0;0;0;0;0;0 | 90;210;30
Spreadsheet: darrell_schoolcraft__7797__imbalsumm0107
Sheet: PG&E

56698
Day | Measured | Scheduled
1 | -110977 | -108476
2 | -126065 | -133671
3 | -159519 | -157560
4 | -159784 | -158380
5 | -155647 | -154469
6 | -183350 | -180577
7 | -117148 | -116037
8 | -149643 | -148722
9 | -146498 | -145412
10 | -132398 | -131168
11 | -125878 | -125708
12 | -189857 | -188547
13 | -198290 | -197327
14 | -153610 | -151765
15 | -112556 | -111957
16 | -112398 | -111233
17 | -177636 | -177011
18 | -195965 | -195469
19 | -183423 | -181228
20 | -194114 | -191665
21 | -168147 | -166644
22 | -164751 | -162007
23 | -111317 | -110211
24 | -151881 | -148939
25 | -203402 | -202605
26 | -212346 | -210027
27 | -143640 | -142521
28 | -186472 | -184044
29
30
31
2001-06-30 00:00:00 |  |  | -12760
2001-07-28 00:00:00
Spreadsheet: 28220d1222243057-ranking-top-5-men-and-women-scores-standings
Sheet: P1

 |  | [NAME]
 |  | Statistics |  | Current | Career |  | Series |  | Current | Career |  | Games |  | Current | Career |  | Personal Information
 |  | Average |  | 146 | 165 |  |  | High Series | 654 | 687 |  |  | 200 Games |  |  |  | Team Name
 |  |  | Handicap |  |  |  |  | H / Series / hdcp | 725 |  |  |  | 225 Games |  |  |  | Team #
 |  |  | Total Pins |  |  |  |  | Low Series |  |  |  |  | 250 Games
 |  |  | Total Games |  |  |  |  | L / Series / hdcp |  |  |  |  | 270 Games |  |  |  | Street Address
 |  | MVP Points |  |  |  |  |  | 400 Series |  |  |  |  | 280 Games |  |  |  | City
 |  | Improve Bowler +/- |  |  |  |  |  | 450 Series |  |  |  |  | High Game | 238
 |  |  | Starting Average |  |  |  |  | 500 Series |  |  |  |  | High Game /HDCP | 278 |  |  | Phone Number
 |  | Improvement +/- |  |  |  |  |  | 550 Series |  |  |  |  | Low Game |  |  |  | Sex |  | F
 |  |  | 1st Half Average |  |  |  |  | 600 Series |  |  |  |  | Median Game
 |  |  | 2nd Half Average |  |  |  |  | 650 Series |  |  |  |  | Total GUA
 |  |  | Half Improvement |  |  |  |  | 700 Series |  |  |  |  | Percent GUA
 |  |  | % Improvement |  |  |  |  | 800 Series |  |  |  |  | WK Raised Avg %
Spreadsheet: 72707d1273433178-help-with-an-excel-lookup-forumula-that-returns-column-heading-student_presentations
Sheet: Presenter 2

Seats | Presenter 2 Time Slot 1 | Presenter 2 Time Slot 2 | Presenter 2 Time Slot 3 | Presenter 2 Time Slot 4 | Presenter 2 Time Slot 5 | Presenter 2 Time Slot 6 | Presenter 2 Time Slot 7 | Presenter 2 Time Slot 8
1 | Student 5 | Student 13 |  |  | Student 49
2 | Student 7
3
4
5
6
7
8
9
10
11
12
13
14
15
Spreadsheet: 694779d1599789351-lookup-help-sheq-metric
Sheet: xxxx Graph

 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | xxxx- 12MM, 6MM TRIFR & Reportable Injuries
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Month | 12MM TRIFR | 6MM TRIFR | LTI- Actual | RWC- Actual | MTI - Actual | TRIFR Target | Employee | Business Partner | TRI Total
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 46
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 44
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 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | This information is not calculated for this group.
Spreadsheet: 384800fd-ff90-4b82-807b-50e51a8dd521
Sheet: Sheet1

PROG ID | ATHLETE ID | ATHLETE FIRST | ATHLETE LAST | NATIONALITY | START NUMBER | SWIM | T1 | BIKE | T2 | RUN | POSITION | TOTAL TIME
5773 | 40954 | Faye | Mcclelland | GBR | 5 | 00:13:41 | [NAME] | 00:37:28 | 00:02:01 | 00:23:55 | 1 | 01:19:55
5773 | 30601 | Clare | Cunningham | GBR | 4 | 00:12:43 | [NAME] | 00:38:00 | 00:02:23 | 00:25:20 | 2 | 01:21:15
5773 | 23650 | [NAME] | Dasse | FRA | 3 | 00:18:23 | [NAME] | 00:39:09 | 00:02:01 | 00:27:34 | 3 | 01:29:56
5773 | 40921 | Anna | [NAME] | ESP | 2 | 00:18:22 | 00:03:31 | 00:42:19 | 00:02:42 | 00:29:22 | 4 | 01:36:13
Spreadsheet: 18ea3d94-45e5-4414-be39-06c985d4e826
Sheet: February

February |  | Cut and paste data from monthly classroom results in these columns
 | average
 | rate
 | school
 | 0 min
 | 1-5 min
 | 6-10 min
 | 11-15 min
 | 16-20 min
 | 21-25 min
 | 26-30 min
 | 31+ min
 | grade
 | number
 | grade
 | number
 | grade
 | number
School Totals |  |  |  | School DPA Summary for
average
rate
school
0 min
1-5 min
6-10 min
11-15 min
16-20 min
21-25 min
26-30 min
31+ min
Spreadsheet: 883398d1732022244-overview-of-dates-mier_2024-test-212-spill-365-aligw
Sheet: Overview

WHAT  I WANT TO SEE ON THIS PAGE. This need to be updating everyday automaticly.
Upcomming delivey dates: (today and 3 days ahead) |  |  |  | Exceeded delevery dates that are not marked as recived |  |  |  | Purchases that have no Date for delevry
Vendor | Purchase number | Date for delevry |  | Vendor | Purchase number | Date for delevry |  | Vendor | Purchase number | Date for delevry
 |  |  |  |  |  |  |  |  | 50015 | -
 |  |  |  |  |  |  |  | [NAME] | 50004 | -
Spreadsheet: 843480d1695297852-get-data-transfered-between-sheets-based-on-matching-critera-and-dates-over-45-days-test2-3-ans
Sheet: Sheet1

PRODUCT CODE | BAG SIZE | [NAME] | WEIGHT PER CARTON (KG) | CURRENT CARTON QTY | FUTURE CARTON QTY | TOTAL 3 MONTH USAGE (FEB TO APRIL 2023) | STOCK | CONSIGNMENT STOCK | TOTAL STOCK | AGED STOCK | Aged Stock Days
WB90207 | 250x400 | 1 | 6.86 | 500 | 500 | 0
WB90211 | 250x700 | 2 | 8.89 | 350 | 350 | 0
WB90215 | 225x850 | 3 | 12.22 | 400 | 400 | 2387
WB90216 | 250x550 | 4 | 10.84 | 600 | 600 | 6090
WB90217 | 350x860 | 5 | 14.65 | 400 | 400 | 1050
WB90218 | 400x700 | 6 | 14.1 | 350 | 400 | 4047
WB90219 | 430x875 | 7 | 16.33 | 350 | 350 | 1400
WB90220 | 350x550 | 8 | 15.12 | 650 | 650 | 2240
Spreadsheet: 165379d1341209819-top-5-list-large-and-vlookup-issues-0atop-5-example
Sheet: Sheet1

 |  |  |  |  |  |  |  |  |  |  |  |  | What it 'should' be
 |  |  |  |  |  |  |  | Top 5 goals |  |  |  |  | Top 5 goals
 | GOALS | ASSISTS | POINTS |  |  |  |  |  | Name | # |  |  |  | Name | #
SMITH | 5 | 10 |  |  |  |  |  | 1 |  |  |  |  | 1 | richards | 39
RICHARDS | 25 | 12 |  |  |  |  |  | 2 |  |  |  |  | 2 | [NAME] | 39
TANNER | 21 | 18 |  |  |  |  |  | 3 |  |  |  |  | 3 | tanner | 37
ANDREWS | 1 | 11 |  |  |  |  |  | 4 |  |  |  |  | 4 | [NAME] | 24
KERR | 23 | 9 |  |  |  |  |  | 5 |  |  |  |  | 5 | woods | 23
WOODS | 6 | 17
BRUCE | 8 | 9 |  |  |  |  |  | Top 5 Assists |  |  |  |  | Top 5 Assists
MACDONALD | 23 | 16 |  |  |  |  |  |  | Name | # |  |  |  | Name | #
[NAME] | 4 | 20 |  |  |  |  |  | 1 |  |  |  |  | 1 | [NAME] | 20
PHILLIPS | 7 | 3 |  |  |  |  |  | 2 |  |  |  |  | 2 | Tanner | 18
MATHEWS | 16 | 1 |  |  |  |  |  | 3 |  |  |  |  | 3 | Woods | 17
 |  |  |  |  |  |  |  | 4 |  |  |  |  | 4 | MacDonald | 16
 |  |  |  |  |  |  |  | 5 |  |  |  |  | 5 | Richards | 12
Spreadsheet: stacey_white__38835__new curve request_Maine
Sheet: Sheet1

 |  |  |  | Enron Corporation
 |  |  |  | New Curve Setup Form
To: | Risk Analysis & Reporting ([NAME]/[NAME]) |  | Request #
From: | Casey Evans |  | Department: | Risk Management
Subject: | New Curve Setup |  | Date:
 | To be Completed by Book Administrator:
 |  |  |  |  | Reporting -Subledger
 | Book Administrator Name: | Casey Evans
 |  |  |  |  | MTM | Prud | Realized
 | Trader Requesting New Curve: | [NAME]
 | Curve Code: | R1Q
 | Full Name and Description of Curve: | Maine
 | Commodity: | PWR
 | Unit of Measure: | MW/ hour
 | [NAME]: | R1B
 | To be Provided by Risk Analysis & Reporting/RAC:
 | [NAME]. Factor:
 | Curve Setup Checklist: | Undertaken by (please initial): | Date:
1 | Add Curve to Trading System
2 | [NAME] to GRMS Benchmark Definitions
3 | [NAME] to GRMS Value at Risk
Spreadsheet: 274778d1383217934-need-a-formula-to-calculate-all-total-purchase-from-different-sheets-by-acct-number-sample-scenario-1-ans
Sheet: File1

acct # | File [1] | amount purchased |  | amount purchased
1 | shane
2 | rone
3 | [NAME]
4 | bron
5 | shoon
6 | kun
7 | lun
8 | luna
9 | aey
10 | snake
 |  | Any of the above formulas can be used.
Spreadsheet: 01db2868-33d7-4a77-ac4e-578a0fddf4e4
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | WEST ROSEVILLE | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9
 |  |  |  | Property Crime Summary
 |  |  |  |  | May 2009
[NAME] |  |  | INCIDENT |  | TARGET |  |  | DATE/TIME
8800 Blk Latigo Ct. |  |  | 594 PC |  | Unk S(s) broke windshield & |  |  | 2009-05-02 00:00:00 | 2009-05-03 00:00:00
 |  |  |  |  | passenger side window of vehicle |  |  | 18:00:00 | 02:30:00
 |  |  |  |  | parked in driveway.
100 Blk [NAME]. |  |  | 459 PC |  | Unk S(s) broke bathroom window |  |  | 2009-05-10 00:00:00 | 2009-05-13 00:00:00
 |  |  |  |  | and removed items. |  |  | 12:00:00 | 07:00:00
3400 Blk PFE Rd. |  |  | 459 PC |  | Unk S(s) made enrty into locked |  |  | 2009-05-15 00:00:00 | 2009-05-15 00:00:00
 |  |  |  |  | residence via front window. Items |  |  | 13:40:00 | 18:24:00
 |  |  |  |  | removed.
1600 Blk Booth Rd. |  |  | 459 PC |  | Window of vehicle forced open. Items |  |  | 2009-05-19 00:00:00 | 2009-05-21 00:00:00
 |  |  |  |  | removed. |  |  | 12:00:00 | 15:48:00
9200 Walerga Rd. |  |  | 459 PC |  | Office window broken. Items |  |  | 2009-05-26 00:00:00 | 2009-05-27 00:00:00
 |  |  |  |  | removed. |  |  | 18:30:00 | 07:45:00
100 Blk [NAME]. |  |  | 594 PC |  | Window in clubhouse broken. |  |  | 2009-05-28 00:00:00 | 2009-05-30 00:00:00
 |  |  |  |  |  |  |  | 13:00:00 | 15:00:00
V = Victim
S(s) = Suspect(s)
594 PC = Vandalism
664/459 PC = Attempt Burglary
459 PC = Burglary
487 PC = Grand Theft
488 PC = Petty Theft
As a reminder, please remove any valuables from your vehicle(s) and secure them. If you have an alarm system for your car
or home, please utilize it.
Thank You