tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: andy_zipper__344__NYMEX Straddles
Sheet: Sheet1

 |  |  | Natural Gas Straddles
 | Month | Strke | Bid | Offer | Volatility | Net Change
 | G | 25 | 46 | 48 | 0.7746000000000138
 | H | 255 | 60 | 62.5 | 0.7728000000000042
 | J | 255 | 60 | 62 | 0.6335499999999892
 | K | 265 | 65 | 66.5 | 0.5678999999999903
 | M | 270 | 69 | 72 | 0.5274999999999926
 | N | 275 | 77 | 80 | 0.5342999999999759
 | Q | 280 | 84 | 88 | 0.5278999999999772
 | U | 280 | 90 | 94 | 0.5313499999999768
 | V | 285 | 96 | 101 | 0.5310499999999768
 | X | 305 | 109 | 115 | 0.5395999999999759
 | Z | 320 | 120 | 126 | 0.5377999999999761
 | F | 335 | 131 | 138 | 0.5438999999999996
 | G | 325 |  |  | #[NAME]!
 | H | 320
 |  |  | 2001-12-31 13:09:34.130000
 |  |  | Crude Oil Straddles
 | Month | Strke | Bid | Offer | Volatility | Net Change
 | G | 2000 | 180 | 190 | 0.5397999999999944
 | H | 2000 | 300 | 305 | 0.5357999999999927
 | J | 2050 | 390 | 395 | 0.5379999999999899
 | K | 2050 | 450 | 465 | 0.5245499999999899
 | M | 2050 | 480 | 495 | 0.4971999999999902
 | N | 2050 | 510 | 520 | #[NAME]!
 | Q | 2050 | 530 | 545 | 0.4585499999999912
 | U | 2050 | 540 | 560 | #[NAME]!
 | V | 2050 | 545 | 565 | #[NAME]!
 | X | 2100 | 550 | 570 | #[NAME]!
 | Z | 2100 | 550 | 570 | 0.2954999999999957
 | F03 |  |  |  | #[NAME]!
 | G |  |  |  | #[NAME]!
 |  |  | 2001-12-31 13:12:15.060000
Spreadsheet: 190645d1351727013-link-the-background-color-to-background-color-of-another-cell-longxin-conditional-formatting-holidaysheet_template
Sheet: Q4

Oct
 | 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
Alton
Dries
[NAME]
Stijn
Sven
[NAME]
Nov
 | 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
Alton
Dries
[NAME]
Stijn
Sven
[NAME]
Dec
 | 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
Alton
Dries
[NAME]
Stijn
Sven
[NAME]
Spreadsheet: 794834d1662354156-bill-of-measure-for-ingredient-consumptions-bom
Sheet: BOM

Recipe Yield |  |  |  |  |  |  |  |  |  | Ingredients Consumption
Final Product | Ingredients | UOM | Amount |  |  |  |  |  |  | Ingredients | UOM | Amount
Amatriciana | Mozzarella Cheese | Kg | 0.5 |  |  |  |  |  |  | Mozzarella Cheese | Kg
Amatriciana | Tomato Sauce | Kg | 0.2 |  |  | ITEM USED |  |  |  | Tomato Sauce | Kg
Amatriciana | Smoked Beef | Kg | 0.15 |  |  | ITEM USED | UOM | QTY |  | Smoked Beef | Kg
Amatriciana | Pecorino Cheese | Kg | 0.05 |  |  | Amatriciana | PIE | 1 |  | Pecorino Cheese | Kg
[NAME] | Mozzarella Cheese | Kg | 0.8 |  |  | [NAME] | PIE | 2
[NAME] | Tomato Sauce | Kg | 0.3
Spreadsheet: a2ad5934-8448-4ace-8ed4-4ecd530f858f
Sheet: Sheet1

analytica 2012 - Aussteller Liste | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5
 | Suche über Produkt- und Dienstleistungsverzeichnis (6 [NAME]):
 | 5 Labortechnische Geräte 5.4 Labortechnik und [NAME] 5.4.7 Laboreinrichtungen 5.4.7.8 Umkehrosmoseanlagen
Nr. | Firma | Land | Ort | PLZ | Halle/Stand
1 | membraPure GmbH | Deutschland | Hennigsdorf | 16761 | A1.213
2 | Miele & Cie. KG [NAME] | Deutschland | Gütersloh | 33332 | B1.201/302
3 | Siemens AG, I IA WT HUB EUR | Deutschland | Barsbüttel | 22885 | B1.417
4 | VWS Deutschland GmbH ELGA LabWater | Deutschland | Celle | 29227 | B1.340
5 | [NAME] GmbH | Deutschland | Leverkusen | 51381 | B1.217
6 | Zefa-Laborservice GmbH | Deutschland | [NAME] | 85630 | B1.121/220
Spreadsheet: darrell_schoolcraft__7335__imball0203
Sheet: NGPL

 | 52862 |  | 6828 |  | 6838
 | Measured | Scheduled | Measured | Scheduled | Measured | Scheduled | Imbalance
1 | 36628 | 36611 | -62566 | -64614 | 26856 | 27482
2 | 36686 | 36611 |  |  | 27507 | 27482
3 | 36629 | 36611 |  |  | 27519 | 27482
4 | 36620 | 36611 |  |  | 27475 | 27482 |  |  |  | Winkler/Eddy OBA |  |  |  |  |  |  | Gray  OBA
5 | 20050 | 19611 | -381 | -21181 | 27352 | 27482
6 | 26429 | 23911 | -42793 | -41764 | 27354 | 27482 |  |  |  | Month | Measured | Scheduled | Imbalance | Index | Amount |  | Month | Measured | Scheduled | Imbalance | Index | Amount
7 | 20665 | 20611 | -57780 | -58347 | 27331 | 27482
8 | 24643 | 24611 | -64422 | -61514 | 25361 | 27482 |  |  |  | 2001-05-01 00:00:00 | 1103057 | 1120793 |  | 4.01 |  |  | 2001-05-01 00:00:00 | -202726 | -185000 |  | 4.01 |  |  | 2001-05-01 00:00:00 | 4.01
9 | 30250 | 30611 | -14801 | -15514 | 19818 | 15654 |  |  |  | 2001-06-01 00:00:00 |  | 1681871 |  | 3.51 |  |  | 2001-06-01 00:00:00 | -153623 | -88473 |  | 3.51 |  |  | 2001-06-01 00:00:00 | 3.51
10 | 30614 | 30611 | -16689 | -15514 | 19928 | 15560 |  |  |  | 2001-07-01 00:00:00 |  | 1270571 |  | 2.94 |  |  | 2001-08-01 00:00:00 | -34269 | -27046 |  | 2.85 |  |  | 2001-07-01 00:00:00 | 2.94
11 | 21184 | 30611 | -15652 | -15514 | 24670 | 16294 |  |  |  | 2001-08-01 00:00:00 |  | 1418897 |  | 2.85 |  |  | 2001-09-01 00:00:00 | -1191628 | -1210937 |  | 1.96 |  |  | 2001-08-01 00:00:00 | 2.85
12 | 32868 | 42611 | -26653 | -26514 | 21374 | 15844 |  |  |  | 2001-09-01 00:00:00 | 1109912 | 1111335 |  | 1.96 |  |  |  |  |  |  |  |  |  | 2001-09-01 00:00:00 | 1.96
13
14 |  |  |  |  |  |  |  |  |  | 5/01 - 9/01  balance |  |  |  |  |  |  | 5/01 - 9/01  balance
15
16 |  |  |  |  |  |  |  | 127244 |  | Volume balance @ 4/30/01 |  |  | 19880 |  |  |  | Volume balance @ 4/30/01 |  |  | 37185
17 |  |  |  |  |  |  |  | 8222
18
19
20 |  |  |  |  |  |  |  | 96781 | 23852
21 |  |  |  |  |  |  |  | 38685 | 4050
22
23
24
25
26
27
28
29
30 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 10000 | 2
31 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | -10000 | 1.5
2002-02-28 00:00:00
2002-03-12 00:00:00
CBS Dollars
 |  |  | 146195 |  | 338741 |  | 121117
 |  |  |  |  |  |  | 64404
Spreadsheet: 684796d1593538470-indirect-function-looking-for-worksheet-named-after-current-year-newsample
Sheet: 2019

2019
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | JAN | FEB | MAR | APR | MAY | JUN | JUL | AUG | SEP | OCT | NOV | DEC | Total
 |  |  |  |  |  |  |  |  |  |  |  |  | sheet2 |  |  |  |  |  |  |  |  |  | 6 | 7 | 8 | 9 | 10 | 11 | 12
 |  | 1
Spreadsheet: 887692d1737999235-how-to-sum-a-string-of-consecutive-numbers-example-for-help-on-fatigue-hours
Sheet: Sheet1

Employee | Monday | Tuesday | Wednesday | Thursday | Friday | Saturday | Sunday | Monday | Tuesday | Wednesday | Thursday | Friday | Saturday | Sunday | Total Pay Period Hours Worked | Consecutive SUM (Need Help With This Formula) | Conditional Formating Alarm Indication for Hours Worked
 | 2025-01-01 00:00:00
[NAME] | 8 |  | 10 | 10 | 10 | 10 | 10 | 16 | 10 | 16 | 16 |  |  |  |  | 106 | Too Many Consecutive Hours
[NAME] | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 9 |  | 9 | 9 | 9 | 9 |  |  |  | OK
[NAME] | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 12 |  | 9 | 9 | 9 | 9 | 9 |  |  | OK
 | The employee is not allowed to work more than 105 hours consecutively, therefore [NAME] is over hours but [NAME] and [NAME] are not.  I need help for creatomg a formula for counting consecutive hours and flagging a cell if the hours entered exceeds 105 consecutive hours
 |  | [NAME] on Help Forum |  |  | =SUM(B4:INDEX(B4:O4,MATCH(TRUE,(B4:O4=""),0)))
 |  | [NAME]
 |  |  |  | `
Spreadsheet: f8b8b8f8-5783-41fd-889d-76e971a9525b
Sheet: Sheet1

Supplementary Table 7: Fine-mapped SNP of the FAM118A locus | Unnamed: 1
SNP ID | Location
rs4823459 | 44072542
rs226505 | 44085441
rs79055 | 44087287
rs226492 | 44093153
rs2142552 | 44098161
rs738171 | 44099948
rs6006986 | 44101917
rs6006987 | 44101984
rs9615107 | 44101990
rs5766654 | 44102129
novel SNP | 44102181
rs6007589 | 44102190
novel SNP | 44102205
rs6007590 | 44102248
rs2350628 | 44103940
rs736702 | 44104264
rs7285172 | 44105009
rs1569414 | 44106229
rs1569415 | 44106352
rs2350629 | 44109714
rs738177 | 44110203
rs2205659 | 44110394
rs2205660 | 44110395
rs2205661 | 44110423
rs11704481 | 44110992
rs16993867 | 44111863
rs3827393 | 44114817
rs2064068 | 44115149
rs10343 | 44116151
rs9614647 | 44120382
rs6519844 | 44123087
rs5765271 | 44125490
rs136584 | 44154877
rs136604 | 44168407
rs136611 | 44172947
rs5765354 | 44206343
Spreadsheet: 777373d1650356520-return-values-text-from-one-sheet-into-multiple-sheets-by-comparing-three-columns-book1gk
Sheet: Mark

Commission
 |  | Full | Discounted
Item | ID | 15 | 10 | Total
Apples
Oranges
Bananas
Spreadsheet: 467205d1466614383-match-up-the-sku-numbers-between-two-pages-and-transfer-the-prices-sku-and-price
Sheet: AFTER

If it is only possible to match up the existing SKUs from Sheet 1 to Sheet 2, then this is the final outcome I am looking for:
SKU | PRICE |  | WHAT
1120-PAR | 155.7248 | Wrong | Parent
1120 | 43.45 | Correct | Box
1120-s | 1.87 | Correct | Sample
16004131TPWV-PAR | 33.9 | Wrong | Parent
16004131TPWV | 85.32 | Correct | Box
16004131TPWV-s | 4.24 | Correct | Sample
17-1700-PAR | 53.25339600000001 | Wrong | Parent
17-1700 | 33.27 | Correct | Box
17-1700-s | 1.87 | Correct | Sample
If it's possible, this other option would be ideal: I need the Parent and Box Prices to be the same as the Box prices on sheet 1, and the Sample price should be the same as the sample prices on sheet 1.
SKU | PRICE |  | WHAT
1120-PAR | 43.45 | Correct | Parent
1120 | 43.45 | Correct | Box
1120-s | 1.87 | Correct | Sample
16004131TPWV-PAR | 85.32 | Correct | Parent
16004131TPWV | 85.32 | Correct | Box
16004131TPWV-s | 4.24 | Correct | Sample
17-1700-PAR | 33.27 | Correct | Parent
17-1700 | 33.27 | Correct | Box
17-1700-s | 1.87 | Correct | Sample
Spreadsheet: 262587d1378212525-auto-populate-monthly-on-call-list-please-help-oncall-template-test1
Sheet: Calendar

On Call Template
 | Month |  | Year
 | 9 |  | 2013 |  | True
 |  |  |  |  |  |  |  |  |  |  |  | On Call Schedule
Spreadsheet: 08851389-c420-488f-8ccf-e12682a2fdcf
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8
[NAME]
Instructions
Go to the "Input" worksheet and enter all information as it applies to your situation. Capital investment section: If any of the line items does not apply, enter a zero for the purchase price and leave the years of life blank. Enter the interest rate as a whole number. If you do not use an electric mixer for milk replacer and/or do not want to count the cost of cleaning milk replacer mixing equipment, leave these cells blank or enter zeroes.
Go to the "Output" worksheet for a summary of the cost of each liquid feed and pasteurization cost. This worksheet also provides the total daily cost of various feeding systems. All information on "Output" is calculated based on the number of calves you entered on the "Input" worksheet.
For comparisons over a range of calves (5 to 400) and varying waste milk supply, see the "Compare to..." worksheets.
The "Compare to MR" worksheet presents a comparison of the total daily feed costs when all calves are fed milk replacer OR a proportion of the calves are fed milk replacer and another portion are fed pasteurized waste milk.
The "Compare to Whole Milk" worksheet presents a comparison of the total daily feed costs when all calves are fed milk replacer OR a proportion of the calves are fed waste milk and another portion are fed whole milk; both sources of milk are pasteurized in this comparison.
The "Calculations" worksheet contains all of the formulas that drive this spreadsheet. Most users will not need to look at this page. Changes to this page should be made with extreme caution. One section that users may want to customize is the calculation of the ownership costs for the pasteurizer, where default values are assumed for the salvage value method, repairs, taxes and insurance. White-filled cells with blue text can be changed if desired.
The "Supply & Demand" worksheet contains a simple calculator that will estimate the supply of and demand for waste milk and the balance on a daily, weekly, and yearly basis. Users enter information in the [NAME] section and results are provided in the Output section.
The "Solids Calc" worksheet provides a simple tool to determine the amount of powder and water to add to waste milk to extend the volume to meet the needs of all calves. Users enter information in the [NAME] section, then use the Goal Seek tool to calculate the amount of powder needed.
Penn State Collaborators |  |  | [NAME] |  |  |  |  | Last modified: 11/24/09
Coleen Jones |  |  | [NAME]
[NAME] |  |  | Chase Scott
 |  |  | [NAME]
Spreadsheet: 730426d1619697438-trying-to-create-rag-training-matrix-training-matrix-
Sheet: Sheet1

Training Matrix |  |  | Empower Induction | All Wales Induction Framework |  | Safeguarding Adults |  | Medication Management 1 |  | Medication Management 2 |  | Medication Management 3 |  | First Aid ([NAME]) |  | Manual Handling |  | Infection Control |  | Health & Safety |  | Basic First Aid |  | Equality & Diversity |  | Food Hygeine |  | Fire Safety
Staff Name | Staff Number | Position | Completed | Start date | Due | Completed | Due | Completed | Due | Completed | Due | Completed | Due | Completed | Due | Completed | Due | Completed | Due | Completed | Due | Completed | Due | Completed | Due | Completed | Due | Completed | Due
[NAME] | 1 | Director | 2020-01-01 00:00:00 | 2020-01-01 00:00:00 |  | 2020-01-01 00:00:00 |  | 2020-01-01 00:00:00 |  | 2020-01-01 00:00:00 |  | 2020-01-01 00:00:00 |  | 2020-01-01 00:00:00 |  | 2020-01-01 00:00:00 |  | 2020-01-01 00:00:00 |  | 2020-01-01 00:00:00 |  | 2020-01-01 00:00:00 |  | 2020-01-01 00:00:00 |  | 2020-01-01 00:00:00 |  | 2020-01-01 00:00:00
[NAME] |  | Director
[NAME] |  | Manager
Penelope [NAME]
[NAME]
Fay Richards
Spreadsheet: 30560c66-f14b-409d-b887-0be504b415e5
Sheet: Sheet1

Table 6--Wholesale corn milling product and byproduct prices, 10/15/2012 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10
Mkt year and month 1/ | Corn meal, yellow,  Chicago, IL (dollars per cwt) |  | Corn meal, yellow,  New York, NY (dollars per cwt) |  | Corn starch,  Midwest 3/ (dollars per cwt) |  | Dextrose,  Midwest (cents per pound) |  | High-fructose corn syrup (42%),  Midwest (cents per pound)
 | 2011/12 | 2012/13 | 2011/12 | 2012/13 | 2011/12 | 2012/13 | 2011/12 | 2012/13 | 2011/12 | 2012/13
Sep | 27.9925 | 29.035 | 30.2975 | 30.985 | 23.25999999999998 | 24.21999999999998 | 30.85 | 34.85 | 21.375 | 23.375
Oct | 26.7825 |  | 29.0875 |  | 22.62999999999998 |  | 30.85 |  | 21.375
Nov | 26.8975 |  | 29.2025 |  | 20.04999999999998 |  | 30.85 |  | 21.375
Dec | 25.74 |  | 28.045 |  | 20.88999999999998 |  | 30.85 |  | 21.375
Jan | 24.855 |  | 26.555 |  | 19.89999999999998 |  | 34.85 |  | 23.375
Feb | 26.39833333333333 |  | 30.37 |  | 21.39999999999998 |  | 33.85 |  | 23.375
Mar | 26.1675 |  | 27.92 |  | 21.78999999999998 |  | 35.85 |  | 23.375
Apr | 25.5175 |  | 27.545 |  | 22.08999999999998 |  | 34.85 |  | 23.375
May | 24.485 |  | 26.7675 |  | 21.33999999999998 |  | 34.85 |  | 23.375
Jun | 24.295 |  | 25.995 |  | 21.24999999999998 |  | 34.85 |  | 23.375
Jul | 28.345 |  | 30.045 |  | 20.64999999999998 |  | 35.35 |  | 23.375
Aug | 30.4625 |  | 32.1625 |  | 24.09999999999998 |  | 34.85 |  | 23.375
Mkt year 2/ | 26.49486111111111 |  | 28.66604166666667 |  | 21.61249999999998 |  | 33.55833333333334 |  | 22.70833333333333
1/ September-August. Latest month is preliminary. 2/ Simple average of monthly prices for the marketing year. 3/ Bulk-industrial, unmodified. Source: Milling and Baking News, except for corn starch which is from private industry.
Date run: 10/14/2012
Spreadsheet: 874335d1720911354-help-with-formulas-to-calculate-mark-up-x-of-action-sold-from-1-column-p2stake-sample-files
Sheet: table 2 Microsoft excel

Apr 12. 23:45 -Apr 13. 01:11
 | Daily Hyper $100
Prize Pool Players Guaranteed $1,750 ([NAME]in $92 + $8 [NAME],ion 01:26:33
® | Info £> Players (V Staking | ^ Prop Bet
Rank | Player | Flag | Result
1 | [NAME] | 1 | S1.133.44
2 | betman 95 | - | 842.72
3 | samjin | H | 626.57
4 | [NAME] | — | 465.87
5 | coolme | — | 346.38
Spreadsheet: 819535d1677571166-dept-and-expense-type-match-to-calculate-total-amount-test-3-
Sheet: Income Statement by Dept

Budget Expenses | BDR | CSM | CSM2 | Marketing | Engineering | Marketing3 | General and Administrative | Product & Design | Marketing4 | Engineering5 | General and Administrative6 | Product & Design7
Employee Compensation | 1000 | 150 | 2000 | 5000 | 9000 | 17000 | 900 | 508791.78 | 308784.14 | 239204.54 | 1070005.66 | 518798.21
Commission & Bonus
Commission & Bonus
Commission & Bonus
Payroll Taxes
Health Benefits | 0 | 0 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50
Third Party Services | 1000
Third Party Services |  | 2000
Third Party Services |  |  | 3000
Spreadsheet: 888137d1738581204-interest-and-inflation-forecast-forecast-check
Sheet: Inflation & Drawings & Adjustme

D | M |  | Drawings | Inflation |  |  | Medical Aid
62 | 52 | 2025 | 480000
 |  |  |  |  | Di Pension | Rent Adjustment | Travel Adjustment | Medical Aid
 |  |  |  |  |  | 220000 |  | 84000
Spreadsheet: phillip_platter__31373__ca0912EES
Sheet: EES_Load

EES
NP15 | Total | 100 | 200 | 300 | 400 | 500 | 600 | 700 | 800 | 900 | 1000 | 1100 | 1200 | 1300 | 1400 | 1500 | 1600 | 1700 | 1800 | 1900 | 2000 | 2100 | 2200 | 2300 | 2400
Reported Load (-) |  | -504.11 | -492.62 | -481.99 | -482.54 | -500.9 | -541.38 | -588.74 | -627.79 | -660.56 | -691.78 | -706.59 | -713.34 | -730.07 | -736.42 | -728.52 | -716.94 | -702.89 | -681.82 | -659.5 | -627.94 | -619.15 | -592.34 | -561.22 | -529.72
Enpower EESI |  | 216 | 216 | 216 | 216 | 216 | 216 | 444 | 444 | 444 | 444 | 444 | 444 | 444 | 444 | 444 | 444 | 444 | 444 | 444 | 444 | 444 | 444 | 216 | 216
Enpower ENRONENEMA |  | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1
SCTrade
SCTrade
SCTrade
SCTrade
SCTrade
SCTrade
SCTrade
SCTrade
SCTrade
SCTrade
SCTrade
SCTrade
SCTrade
SCTrade
SCTrade
SCTrade
SCTrade
SCTrade
Total
SP15 | Total | 100 | 200 | 300 | 400 | 500 | 600 | 700 | 800 | 900 | 1000 | 1100 | 1200 | 1300 | 1400 | 1500 | 1600 | 1700 | 1800 | 1900 | 2000 | 2100 | 2200 | 2300 | 2400
Reported Load (-) |  | -355.67 | -344.7 | -339.53 | -336.39 | -349.43 | -375.38 | -415.13 | -443.57 | -475.83 | -493.69 | -501.83 | -520.46 | -527.25 | -525.65 | -523.44 | -515.33 | -503.68 | -492.75 | -478.55 | -467.8 | -451.97 | -431 | -402.07 | -361.83
Enpower EESI |  | 264 | 264 | 264 | 264 | 264 | 264 | 759 | 759 | 759 | 759 | 759 | 759 | 759 | 759 | 759 | 759 | 759 | 759 | 759 | 759 | 759 | 759 | 264 | 264
Enpower ENRONENEMA
EESI: AUTOMATEPO |  | -25 | -25 | -25 | -25 | -25 | -25 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | -25 | -25
RiverSide Generation |  |  |  |  |  |  |  |  |  | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1
SCTrade
SCTrade
SCTrade
SCTrade
SCTrade
SCTrade
SCTrade
SCTrade
SCTrade
SCTrade
SCTrade
SCTrade
SCTrade
SCTrade
SCTrade
SCTrade
Total
ZP26 | Total | 100 | 200 | 300 | 400 | 500 | 600 | 700 | 800 | 900 | 1000 | 1100 | 1200 | 1300 | 1400 | 1500 | 1600 | 1700 | 1800 | 1900 | 2000 | 2100 | 2200 | 2300 | 2400
Reported Load (-) |  | -20.8 | -20.31 | -19.88 | -19.89 | -20.63 | -22.3 | -24.26 | -25.89 | -27.25 | -28.54 | -29.16 | -29.46 | -30.14 | -30.4 | -30.1 | -29.65 | -29.07 | -28.19 | -27.25 | -25.96 | -25.59 | -24.49 | -23.19 | -21.87
Enpower EESI
Enpower PG&EENESER
SCTrade
SCTrade
SCTrade
SCTrade
SCTrade
SCTrade
SCTrade
SCTrade
SCTrade
SCTrade
SCTrade
SCTrade
SCTrade
SCTrade
SCTrade
SCTrade
SCTrade
SCTrade
Total
Spreadsheet: 740490d1626357039-extract-from-google-sheets-into-excel-quarantine-coaches-data-download
Sheet: Sheet1

Employee Names
Employee Names |  | 2021-07-01 00:00:00 | 2021-07-02 00:00:00 | 2021-07-03 00:00:00 | 2021-07-04 00:00:00 | 2021-07-05 00:00:00 | 2021-07-06 00:00:00 | 2021-07-07 00:00:00 | 2021-07-08 00:00:00 | 2021-07-09 00:00:00 | 2021-07-10 00:00:00 | 2021-07-11 00:00:00 | 2021-07-12 00:00:00 | 2021-07-13 00:00:00 | 2021-07-14 00:00:00 | 2021-07-15 00:00:00 | 2021-07-16 00:00:00 | 2021-07-17 00:00:00 | 2021-07-18 00:00:00 | 2021-07-19 00:00:00 | 2021-07-20 00:00:00 | 2021-07-21 00:00:00 | 2021-07-22 00:00:00 | 2021-07-23 00:00:00 | 2021-07-24 00:00:00 | 2021-07-25 00:00:00 | 2021-07-26 00:00:00 | 2021-07-27 00:00:00 | 2021-07-28 00:00:00 | 2021-07-29 00:00:00 | 2021-07-30 00:00:00 | 2021-07-31 00:00:00 | 2021-08-01 00:00:00 | 2021-08-02 00:00:00 | 2021-08-03 00:00:00 | 2021-08-04 00:00:00 | 2021-08-05 00:00:00 | 2021-08-06 00:00:00 | 2021-08-07 00:00:00 | 2021-08-08 00:00:00 | 2021-08-09 00:00:00 | 2021-08-10 00:00:00 | 2021-08-11 00:00:00 | 2021-08-12 00:00:00 | 2021-08-13 00:00:00 | 2021-08-14 00:00:00 | 2021-08-15 00:00:00 | 2021-08-16 00:00:00 | 2021-08-17 00:00:00 | 2021-08-18 00:00:00 | 2021-08-19 00:00:00 | 2021-08-20 00:00:00
[NAME]
ABUBAKAR
ADIL
ALI
ANTHONY
BURHAAN
CARLOS
CHRIS
CHYRAL
COLIN
EBZ
FARHAN
HERSI
[NAME]
JEROME
KANDIAH
KEYSE
KOCULEN
LAWSON
LICA
MARIO
MAURICE
[NAME]
MUTHU
OTHMAN
PARKY
PAUL CLEAR
RAJ PILLAY
RAMANA
RAYMOND
RICHARD
RICKY
[NAME]
ROMAINE
SABRIE
SHABAZ
SHANE
SHIRE
SURESH
THIVA
WINSTON
Spreadsheet: 52855d1252668127-lookup-and-return-data-after-using-ref-table-example1
Sheet: Sheet1

 | Raw Data
 | Product | Supplier | Price | Name from A |  | Look-up Table
 | Name1 | A | 10 | Name1
 | [NAME] | B | 11 | Name1 |  | A | B | C | D
 | Name3 | C | 12 | Name1 |  | Name1 | [NAME] | Name3 | Name4
 | Name 4 | D | 13 | Name1 |  | Name5 | Name6 | Name7 | Name8
 | Name5 | A | 9 | Name5 |  |  | This table is updated manually
 | Name6 | B | 10 | Name5
 | Name7 | C | 11 | Name5
 | Name8 | D | 12 | Name5
 | Desired result
 |  | Supplier A | Supplier B | Supplier C | Supplier D
 | Name 1 | 10 | 11 | 12 | 13
 | Name 5 | 9 | 10 | 11 | 12
Spreadsheet: louise_kitchen__22711__North America Plan 01-09 inc AA adj (2)
Sheet: SAP

 | SAP
 | 2002 Plan
 |  | 2001-09-01 00:00:00 |  | 2001 |  | 2002 |  |  |  | Per HC | New HC | Adj Comp |  | 2002
 |  | YTD Actual |  | Forecast |  | Plan |  |  |  |  |  |  |  | Plan
ENACOMP | Compensation
 | Special Pays | 0 |  |  |  |  |  |  | Compensation | 0
 | Analysts & Associates | 0
ENABENTX | Benefits & Payroll Taxes
ENAEMPEX | Employee Expense |  |  |  |  |  |  |  | Other |  | 12
ENAT&EEX | Travel & Entertainment Expense
ENAOUTSV | Outside Services |  |  |  |  |  |  |  | Total
ENASUPP | Supplies Expense
ENAMKTEX | Marketing |  |  |  |  | 0
ENACONTR | Charitable Contributions |  |  |  |  | 0 |  |  | [NAME] | 49200 | 0
ENARENT | Rent |  |  |  |  | 0 |  |  | [NAME] | 57600 | 0
ENATECH | Technology |  |  |  |  |  |  |  | Staff | 60000 | 0
ENATRANS | Transportation |  |  |  |  | 0 |  |  | Specialist | 78000 | 2
ENAOTHEX | Other Expenses |  |  |  |  |  |  |  | Sr. Specialist | 102000 | 2
ENATAXES | Taxes Other than Income |  |  |  |  | 0 |  |  | Analyst | 0 | 0
ENATOTDR | Total Direct Expenses |  |  |  |  |  |  |  | Associate | 0 | 0
 |  |  |  |  |  |  |  |  | Manager | 144000 | 3
 | Headcount |  |  | 111 |  | 12 |  |  | Director | 168000 | 2
 |  |  |  |  |  |  |  |  | Sr. Director | 216000 | 3
 | Analysts & Associate Headcount |  |  | 0 |  | 0 |  |  | VP | 222000 | 0
 |  |  |  |  |  |  |  |  | MD | 300000 | 0
 | Total Headcount |  |  |  |  |  |  |  |  |  |  |  |  | 1
ENAOUTLG | Outside Legal |  |  |  |  |  |  |  | Benefits & Taxes |  |  | 0.2
ENAOUTTX | Outside Tax
ENAINSUR | Insurance |  |  |  |  |  |  |  | Consultants | 160000 | 0
ENASYSDV | System Development |  |  | 0
ENACORIT | Controllable Infrastructure |  |  | 0
ENACORRN | Corporate Rent |  |  | 0
ENAOTHAL | Other Allocated Direct  Expenses |  |  | 0 |  |  |  | Other Expense Calculation
ENADEPR | Depreciation & Amortization |  |  | 0
 |  |  |  |  |  |  |  | Based on information from ENW accounting.