tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 04600444-6979-45b5-8dd6-e63c99c160e5
Sheet: Sheet1

Table 1--Soybeans:  Annual U.S. supply and disappearance | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11 | Unnamed: 12 | Unnamed: 13
 | Area |  | Yield | Supply |  |  |  |  | Use
Year beginning | Planted | Harvested |  | Beginning |  |  |  |  | Crush | Seed, feed |  |  | Ending
September 1 |  |  |  | stocks | Production | Imports | Total |  |  | & residual | Exports | Total | stocks
 | Million acres |  | Bu./acre |  |  |  |  |  | --------------------------------------------------Million bushels--------------------------------------------------
2010/11 | 77.404 | 76.61 | 43.45621981464561 | 150.885 | 3329.181 | 14.449 | 3494.515 |  | 1648.043 | 130.1500000000001 | 1501.309 | 3279.502 | 215.013
2011/121 | 75.046 | 73.776 | 41.93130557362828 | 215.013 | 3093.524 | 16.1352383836245 | 3324.672238383625 |  | 1703 | 90.4538823855737 | 1361.848355998051 | 3155.302238383625 | 169.37
2012/132 | 77.198 | 76.104 | 39.61681383370125 | 169.37 | 3014.998 | 20 | 3204.368 |  | 1635 | 94.36799999999994 | 1350 | 3079.368 | 125
Soybeans:  Quarterly U.S. supply and disappearance
 |  |  |  | Supply |  |  |  |  | Use
 |  |  |  | Beginning |  |  |  |  | Crush, seed |  |  |  | Ending
 |  |  |  | stocks | Production | Imports | Total |  | & residual |  | Exports | Total | stocks
2011/12 |  |  |  |  |  |  |  |  | --------------------------------------------------Million bushels--------------------------------------------------
September-November |  |  |  | 215.013 | 3093.524 | 2.8441205983722 | 3311.381120598372 |  | 516.5955746809718 |  | 424.9005459174001 | 941.4961205983718 | 2369.885
December-February |  |  |  | 2369.885 | --- | 3.1416916574442 | 2373.026691657445 |  | 523.9961548514923 |  | 474.5425368059524 | 998.5386916574446 | 1374.488
March-May |  |  |  | 1374.488 | --- | 5.3307780169035 | 1379.818778016903 |  | 453.9034791290034 |  | 258.4502988879 | 712.3537780169034 | 667.465
June-August |  |  |  | 667.465 | --- | 4.818648110904601 | 672.2836481109047 |  | 298.958673724106 |  | 203.9549743867986 | 502.9136481109047 | 169.37
Total |  |  |  |  | 3093.524 | 16.1352383836245 | 3324.672238383625 |  | 1793.453882385574 |  | 1361.848355998051 | 3155.302238383624
2012/13
September-November |  |  |  | 169.37 | 3014.998 | 4.2863493307698 | 3188.65434933077 |  | 602.9483867095553 |  | 619.5449626212146 | 1222.49334933077 | 1966.161
December-February |  |  |  | 1966.161 | --- | 4.7181036423045 | 1970.879103642304 |  | 440.6512322404433 |  | 530.9478714018612 | 971.5991036423045 | 999.28
Total to date |  |  |  |  | 3014.998 | 9.004452973074299 | 3193.372452973074 |  | 1043.599618949999 |  | 1150.492834023076 | 2194.092452973075
1 Estimated. 2 Forecast.
Sources: USDA, National Agricultural Statistics Service, Crop Production and Grain Stocks and U.S. Department of Commerce, U.S. Census Bureau,
Foreign Trade Statistics.
Last update: | 2013-04-12 11:55:47.500000
Spreadsheet: eric_saibi__9755__011802
Sheet: Nine Mile Point 02

Owner Name |  | Niagara Mowhawk Power Corporation
Station Name |  | Nine Mile Point Nuclear Power Station Number 2
Unit Name |  | Nine Mile Point 02
NERC Region |  | NPCC
State |  | NY
Fuel Type |  | Nuclear
Capacity |  | 1,259 MW
Start Date |  | 2002-01-18 00:00:00
End Date |  | 2002-01-20 00:00:00
Comments |  | Unit Derated 50% - Changing out Feed Water Pumps, hoping to return 100% by Monday
SIC |  | 4911
Plant ID |  | 1519149
Unit ID |  | 1005763
Outage ID
Spreadsheet: 216315d1361715387-help-with-vlookup-formula-bikes
Sheet: Sheet2

Name | Bikes
 | Pulsar | Passion | Karizma | Unicorn | Splender
ram
vivek
vikas
suraj
prashant
sunil
suhas
mayur
here I have take an example of bikes
in Sheet1, column A I have mention the names of person, and in column B I have mentioned the names of bike
In Sheet2, I have applied vlook formula in column B, but it just returns 1 result
example ram is have pulsar, unicorn, karizma
but it just shows pulsar
I want a formula which should insert rows and to get all the ans
[NAME] 2more rows should automatically get added to show unicorn and karizma
Spreadsheet: 269367d1381144093-multiple-ifs-query-excel-fletchk-3-oeldere4-
Sheet: Sheet1 (2)

 |  |  |  |  | VLOOKUP($G2,$N$5:$O$7,2,0)-VLOOKUP(OFFSET($G2,0,(COUNTA($D2:$G2)-1)*-1,,),$N$5:$O$7,2,0)
 |  |  | [NAME] | Term 2 | Term 3 | Term 4 |  | Progress |  |  |  |  | 40-60a | 3
 |  |  |  |  |  |  |  |  |  |  |  |  | 30-50a | 2
 |  |  |  |  |  |  |  |  |  |  |  |  | 22-36a | 1
 |  |  | In I6 I want to look at the progress from the beginning to the end.
 |  |  | It is always calculated from Term 4 - so it would be term 4 take take 1, however if term 1 is blank, take it from [NAME], however if term 2 is blank take it from term 3, however if term 3 is blank return ""
 |  |  | The v look up table converts the numerical ranges to a number format.
Spreadsheet: 30706d1226402081-excel-2007-finding-lowest-number-in-a-range-of-numbers-price-analysis
Sheet: Sheet1

Part Number | List Price | AB | CD | EF | GH | IJ | KL | MN | OP | QR |  | Cheapest 1 | Account | Cheapest 2 | Account | Cheapest 3 | Account
123 |  | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9
456 |  | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19
789 |  | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29
1011 |  | 31 | 32 | 33 | 34 | 35 | 36 | 37 | 38 | 39
1213 |  | 41 | 42 | 43 | 44 | 45 | 46 | 47 | 48 | 49
1415 |  | 51 | 52 | 53 | 54 | 55 | 56 | 57 | 58 | 59
1617 |  | 61 | 62 | 63 | 64 | 65 | 66 | 67 | 68 | 69
1819 |  | 71 | 72 | 73 | 74 | 75 | 76 | 77 | 78 | 79
2021 |  | 81 | 82 | 83 | 84 | 85 | 86 | 87 | 88 | 89
2223 |  | 91 | 92 | 93 | 94 | 95 | 96 | 97 | 98 | 99
Spreadsheet: 85722d1285771777-excel-2007-excel-2007-problem-with-cell-formulas-cash20102011
Sheet: Expenses

Date | Description | Ref |  | Nat West | CFB | TMCP |  | Circuit | General | M&P | Organist | [NAME] | Property | Legacies | Famly wrkr | Earmarked | Proj | Mission | Ramsden | Home M | London M | [NAME] | LWPT | Aux Fund | Benev | Sp Appls | JMA | [NAME] | Contra
2009-09-30 00:00:00
2009-10-31 00:00:00
2009-11-30 00:00:00
2009-12-31 00:00:00
2010-01-31 00:00:00
2009-02-28 00:00:00
2009-03-31 00:00:00
2009-04-30 00:00:00
2009-05-31 00:00:00
2009-06-30 00:00:00
2010-07-31 00:00:00
2010-08-31 00:00:00
Total
Spreadsheet: 867118d1713997220-changing-template-data-employee-absence-report-copy-
Sheet: April

 | Employee Absence Report
 | April
 | Absence type key | V | Vacation (10) |  |  | P | Paid (2) |  |  | S | Unpaid (1) |  |  | U | Unauthorized |  |  | O | Other
 |  | 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 |  | Total days
 | [NAME]. M  (PMO) |  |  |  |  |  |  |  |  |  |  |  |  |  |  | S
 | [NAME]. P  (PMO) |  |  |  |  |  |  |  |  | P | S
 | [NAME]. R  (GL) |  |  |  |  |  |  |  |  |  | S
 | [NAME]. M  (GL) |  |  |  |  |  |  |  |  |  |  | P
 | Teddy. M  (GL)
 | Krushna. J  (DLO) |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | V |  |  |  | P
 | [NAME]. W  (PFO) |  |  | P
 | Jaxon. B  (PMO)
 | Daman. S (PMO)
 | Alvin. C  (GL)
 | Baldomero. N  (GL)
 | Junner. B  (GL)
 | Heather. C  (PFO)
 | Jordan. B  (LO)
 | Santos. C  (GL)
 | Sunny. I  (GL)
 | Oliver. M  (PR)
 | [NAME]. C  (TL)
 | Justin. H  (YFO)
 | [NAME]. M  (YFO)
 | [NAME]. T  (YFO)
 | [NAME]. B  (SHC)
 | [NAME]. H  (IM)
 | [NAME]. A  (IM)
 | [NAME]. M  (IM)
 | Maryanne. B  (IMA)
 | Art. P  (MF)
 | Fabrice. M  (MF)
 | [NAME]. T (IE)
 | [NAME]. P  (IE)
 | Justin. N  (IEA)
 | Paige. B  (WMR)
 | Maryann. R  (PSC)
Spreadsheet: john_griffith__16061__EOL_Product_Listen
Sheet: 1

 | Nymex promt |  |  |  | Cash-futures spread |  |  |  |  |  |  | NYMEX
 |  |  |  |  |  |  | BASIS |  |  |  |  | Bid | Offer
 |  | Cash | HH sprd | BOM | HH sprd | Promt | Oct | Nov-Mar |  |  | Promt
E    G | HeHub |  |  |  |  |  |  |  |  |  | Oct
A    U | [NAME] 65 |  |  |  |  |  |  |  |  |  | Nov-Mar 01-02
S    L | Col Onshore |  |  |  |  |  |  |  |  |  | Cal' 02
T      F | TETCO ELA
E    M |  | Cash | HH sprd | BOM | HH sprd | Promt | Oct | Nov-Mar |  |  |  | SPREADS
A    A | [NAME] |  |  |  |  |  |  |  |  |  |  | Bid | Offer
S    R | TETCO M3 |  |  |  |  |  |  |  |  |  | Oct--Sep
T    K | TCO |  |  |  |  |  |  |  |  |  | (Nov-Mar)-Promt
E | CNG
T
 |  |  |  |  |  |  | BASIS |  |  |  |  | POWER PRICES
C    M |  | Cash | HH sprd | BOM | HH sprd | Promt | Oct | Nov-Mar |  |  | Next week | [NAME] | Promt | Next day
E    A | [NAME] |  |  |  |  |  |  |  |  | NY Pool NYC
N    R | Consumers
T    K | MichCon |  |  |  |  |  |  |  |  | PJM West
R    E | Dawn
A    T | [NAME] |  |  |  |  |  |  |  |  | Cinergy
L
 |  |  |  |  |  |  | BASIS |  |  |  |  | ResidOil Platts No 6 NYH 1% (per MMBTU)
 |  | Cash | HH sprd | BOM | HH sprd | Promt | Oct | Nov-Mar |  |  |  | Bid | Offer
W | PG&E citygate |  |  |  |  |  |  |  |  |  | promt
E | Socal Topk |  |  |  |  |  |  |  |  |  | promt +1
S | CIG Rky Mtn
T | Waha
Spreadsheet: 867288d1714128938-logical-test-issue-sample
Sheet: DB_GAAR

Data Extract | Month & Year | Year (FY & YTD) | Valid from | Valid to | Valid from (Out of Usable Stock Alerts Only) DATE ONLY - Helping Column | Valid to (Out of Usable Stock Alerts Only) DATE ONLY - Helping Column | Out of Usable Stock Alert -  Valid from in 30+ weeks (comparison: date of data extract) | Out of Usable Stock Alert -  Valid from in 30+ weeks (comparison: date of data extract)
2024-01-04 00:00:00 |  |  | 12.06.2024 00:00:05 | 12.06.2024 00:00:05
2024-01-04 00:00:00 |  |  | 27.01.2023 23:59:59 | 27.01.2023 23:59:59
2024-01-04 00:00:00 |  |  | 04.01.2024 11:01:24 | 04.01.2024 11:01:24
2024-01-04 00:00:00 |  |  | 05.03.2024 23:59:58 | 05.03.2024 23:59:58
2024-01-04 00:00:00 |  |  | [NAME] 23:59:58 | [NAME] 23:59:58
2024-01-04 00:00:00 |  |  | 03.06.2023 01:59:59 | 03.06.2023 01:59:59
2024-01-04 00:00:00 |  |  | 19.01.2023 23:59:59 | 19.01.2023 23:59:59
2024-01-04 00:00:00 |  |  | 11.08.2022 14:00:00 | 11.08.2022 14:00:00
2024-01-04 00:00:00 |  |  | 11.08.2022 14:00:00 | 11.08.2022 14:00:00
2024-01-04 00:00:00 |  |  | 25.01.2022 00:59:59 | 25.01.2022 00:59:59
2024-01-04 00:00:00 |  |  | 11.08.2022 14:00:00 | 11.08.2022 14:00:00
2024-01-04 00:00:00 |  |  | 13.02.2024 23:59:58 | 13.02.2024 23:59:58
2024-01-04 00:00:00 |  |  | 08.06.2022 [NAME] | 08.06.2022 [NAME]
2024-01-04 00:00:00 |  |  | 08.06.2022 [NAME] | 08.06.2022 [NAME]
2024-01-04 00:00:00 |  |  | 08.06.2022 [NAME] | 08.06.2022 [NAME]
2024-01-04 00:00:00 |  |  | 08.06.2022 [NAME] | 08.06.2022 [NAME]
2024-01-04 00:00:00 |  |  | 08.06.2022 [NAME] | 08.06.2022 [NAME]
2024-01-04 00:00:00 |  |  | 04.03.2021 00:59:59 | 04.03.2021 00:59:59
2024-01-04 00:00:00 |  |  | 08.02.2022 00:59:59 | 08.02.2022 00:59:59
Spreadsheet: 824608d1680707631-how-to-populate-a-list-without-gaps-based-on-criteria-sheet_alvpin_2
Sheet: Teams

TEAM 1 | Other info to insert manually
[NAME] | Good job |  |  |  |  |  |  | Row Labels | other info
Sophie | Bla bla bla |  |  |  |  |  |  | 1
[NAME] | [NAME] provided here |  |  |  |  |  |  | [NAME] | Good job
[NAME] | Good job |  |  |  |  |  |  | Georges | [NAME] provided here
Serge | Bla bla bla |  |  |  |  |  |  | [NAME] | [NAME] provided here
Georges | [NAME] provided here |  | Column A should show every employee in Base!B if Team = 1 |  |  |  |  | [NAME] | Good job
[NAME] | Good job |  | No blank spaces |  |  |  |  | [NAME] | Bla bla bla
[NAME] | Bla bla bla |  | If I add one employee, it should appear here too |  |  |  |  | [NAME] | Good job
Other employee if added in Team 1 |  |  |  |  |  |  |  | Serge | Bla bla bla
Other employee if added in Team 2 |  |  |  |  |  |  |  | Sophie | Bla bla bla
 |  |  |  |  |  |  |  | 2
TEAM 2 | Other info to insert manually |  |  |  |  |  |  | [NAME] | Bla bla bla
[NAME] | Bla bla bla |  |  |  |  |  |  | [NAME] | Bla bla bla
[NAME] | [NAME] provided here |  |  |  |  |  |  | Lili | Good job
Lili | Good job |  |  |  |  |  |  | [NAME] | [NAME] provided here
[NAME] | Bla bla bla |  |  |  |  |  |  | 3
Other employee if added in Team 2 |  |  |  |  |  |  |  | [NAME] | [NAME] provided here
Other employee if added in Team 3 |  |  |  |  |  |  |  | [NAME] | Bla bla bla
 |  |  |  |  |  |  |  | [NAME] | Good job
TEAM 3 | Other info to insert manually |  |  |  |  |  |  | Grand Total
[NAME] | [NAME] provided here
[NAME] | Good job
[NAME] | Bla bla bla
Other employee if added in Team 3
Other employee if added in Team 3
Spreadsheet: 835903d1688970657-using-index-formula-to-summarise-training-database-index
Sheet: Ind Record

CÔNG TY TNHH GE-SHEN VIỆT NAM |  |  |  |  |  |  |  |  |  |  | Form  :  HR-F02
GE-SHEN (VIETNAM) CO., LTD. |  |  |  |  |  |  |  |  |  |  | Rev    :  C
GHI CHÉP ĐÀO TẠO CÁ NHÂN/ NHÓM GROUP / INDIVIDUAL TRAINING RECORD
Emp. No. |  |  | to be keyed in or select the number from drop down list based on Employee Name sheet |  |  |  | Name | lookup value of D7 and Employee name sheet, Column B
Dept |  |  | lookup value of D7 and Employee name sheet, Column C |  |  |  | Position | lookup value of D7 and Employee name sheet, Column D
Date Joined |  |  | lookup value of D7 and Employee name sheet, Column E |  |  |  | Year | (is it possible to tabulate data below base on year, i.e. 2022 only, then if I change the year for 2023, it will tabulate the data for 2023)
TT No. | Int/ Ext |  |  | Date | Time | Khóa đào tạo Training Course |  |  |  | Trained by | Ghi chú Remarks
1 | Index of Database sheet for this Employee, Column D |  |  | Index of Database sheet for this Employee, Column E & F(format as below) | Index of Database sheet for this Employee, Column E & F (format as below) | Index of Database sheet for this Employee, Column C |  |  |  | Index of Database sheet for this Employee, Column J | Index of Database sheet for this Employee, Column L
2 |  |  |  | xx/xx/xxxx - xx/xx/xxxx | [NAME]:xx
3 | From B14, E14, F14 onward until below, it will fill in the available data for this person (will empty if none) (also similar for B15 onwards)
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
Ghi chép bởi Recorded by |  | : | [NAME]
Spreadsheet: 167572d1342027037-how-to-pull-data-based-on-2-different-dropdown-menus-quote-sheet3
Sheet: Sheet1

7_gage |  |  | 4400 | Watt
2829.598 | 125 | 0.8483 | 25.78078177777778 | 100 | 42.96796962962963
Total pierces | Pierce time(sec.) | 0.1516999999999999 | 22.636784 | Traverse time
0 | 2 | [NAME] | Scrap Dollars | 900
 | 0 | 0.15 | 9.986595200207994 | 3.143997777777778
10 | 8.5 |  | 0.395 | 0.12
 | 85 |  | 173.355530832 | 20.80266369984
 | [NAME]
Length | 144 |  | Sell price for labor/Mark up |  | 158.7572285296776
[NAME] | 60 |  | Material sell price |  | 173.355530832
 | 0.1793
Sheet Weight | 438.8747615999999
Total from this sheet |  |  |  | 332.1127593616776
Spreadsheet: 758083d1638633855-return-value-based-on-more-or-less-than-0-sample-workbook_12042021
Sheet: Expected Output

Company | Account | AU | Sub Acct | CAAS | Currency | Amount
00000 | 4033531 | 0011483 | 0000000 | [PHONE]-0011483-0000000 | USD | -100
00000 | 4033531 | 0011483 | 0000000 | [PHONE]-0011483-0000000 | USD | -1000
00323 | 4033531 | 0042255 | 0000000 | [PHONE]-0042255-0000000 | USD | -1500
00894 | 4033531 | 0027238 | 0000000 | [PHONE]-0027238-0000000 | USD | -800
00894 | 4033531 | 0218848 | 0000000 | [PHONE]-0218848-0000000 | USD | 500
00000 | 4033531 | 0103852 | 0000000 | [PHONE]-0103852-0000000 | USD | -1200
00000 | 4033531 | 0103852 | 0000000 | [PHONE]-0103852-0000000 | USD | -1300
00000 | 4033531 | 0233107 | 0000000 | [PHONE]-0233107-0000000 | USD | -900
00014 | 4033531 | 0053571 | 0000000 | [PHONE]-0053571-0000000 | USD | 780
02047 | 4032509 | 0211742 | 0000000 | [PHONE]-0211742-0000000 | USD | 845
00323 | 4032509 | 0211742 | 0000000 | [PHONE]-0211742-0000000 | USD | 652
Spreadsheet: kim_ward__20686__EnronDataRequest
Sheet: Responses 2 - 7

2. | DETAILS OF ALL TERM GAS SUPPLY, I.E. VOLUME, PRICE, [NAME]
 | Monthly Spot Gas - Based on NGI Index, [NAME]
 | - varies between 10,000 dth/day in winter and 5,000 dth/day in summer
3. | ANY TRANSPORTATION THAT YOU OWN AS WELL AS ANY TRANSPORTATION CHARGES THAT YOU ARE PAYING7
 | I.E. ON SOCAL'S SYSTEM AND THE CHARGES YOU ARE PASSING THROUGH TO YOUR CUSTOMERS
 | The City of Long Beach does not own transportation capacity on any interstate or intrastate pipeline.  SoCalGas charges
 | Long Beach the wholesale tariffed transportation rate and ITCS.  Long Beach establishes its transmission rates for its
 | customers based on comparability with SoCalGas' tariffs and flows the ITCS through to its Rates 7 and 9 (transportation)
 | customers.
4. | STORAGE DETAILS
 | Long Beach has a long-term storage contract with SoCalGas which expires 3/31/03.  The contract provides for the following
 | services:
 |  | Storage Service
 |  | Firm Inventory - 620,000 Dth
 |  | [NAME] Dth/day/yr
 |  | Firm Injection  - 4,000 Dth/day during the
 |  | months of April through October
5. | NONCORE CUSTOMER DETAILS - WHAT YOU PROVIDE THEM, WHAT YOU CHARGE THEM
 | Noncore sales customers (See attached tariffs for Rate 4 customers) are provided full transportation and commodity service
 | at tariff rates.  Noncore transportation customers (Rate 9) are provided transportation service and a commodity option
 | based on the LB Customer WACOG plus $0.05/th.
6. | IS YOUR BENCHMARK THE NGI SOCAL BORDER INDEX OR IS IT A SOCAL RETAIL RATE INDEX?  IF IT IS A RETAIL
 | RATE INDEX, WHAT DOES IT INCLUDE AND WHERE CAN I GET HISTORICAL NUMBERS?
 | Currently, the NGI SoCal Border Index is the benchmark for monthly spot purchases, the baseload quantities (Oct - May) and
 | the daily put option.  The Gas Daily price for [NAME] (large packages) is the benchmark for the daily call option.
 | We are seeking to use SoCalGas's monthly Core Procurement Rate as the benchmark for all interstate purchases.
7. | DO YOU HAVE LONG BEACH'S HISTORICAL RETAIL RATES VS SOCAL'S RATES?
 | See Sheet 3
Spreadsheet: sally_beck__35405__Programmer Plus Report 01FD
Sheet: Sheet1

NAME | NEW GROUP | SUPERVISOR | NEW TITLE | OLD TITLE | OLD GROUP | Old HR Rep | MY01 RANKING | [NAME] | BUDDY NAME
[NAME] | ENW ENA Front Office/Risk | [NAME] | Programmer | Specialist Risk Mgmt | EnOps Ctrls and Risk | Hector [NAME] | 3 | 51750 | [NAME]
[NAME] | ENW Corporate Systems | [NAME] | Programmer | Spec Global Mgmt | EnOps Global Ctpy | Hector [NAME] | 4 | 45499.96 | [NAME]
[NAME] | ENW ENA Front Office/Risk | [NAME] | Programmer | Spec Sr Trans Sup | ENW-EnOps Online Trd | Hector [NAME] | 3 | 66500 | [NAME]
Priscella Hamic | ENW -Ops | [NAME] | Programmer | Spec Settlements | EnOps Client Service | [NAME] | 3 | 47000 | [NAME]
Wade Price | ENW -Ops | [NAME] | Programmer | Spec Sr Settlements | EnOps Client Service | [NAME] | 4 | 57479.96 | [NAME]
All candidates were made offers and accepted
Orientation occurred on 11/5
Start Date 11/12
Spreadsheet: 136379d1326587124-looking-for-formula-dealing-with-multiple-occurences-in-2-columns-muliple-ocurrence
Sheet: Sheet1

[NAME] |  |  |  |  |  |  | [NAME]
 | Monday | Tuesday | Wednesday | Thursday | Friday |  |  | Monday | Tuesday | Wednesday | Thursday | Friday
1 |  |  |  |  |  |  | 1
2 |  |  |  |  |  |  | 2
3 |  |  |  |  |  |  | 3
[NAME] | Monday | 250
[NAME] | Tuesday | 567
[NAME] | Friday | 45
[NAME] | Tuesday | 345 |  | Looking for a formula to find the first occurrence of "Mary" ALONG WITH the first occurrence of "Monday". Once that is determined I would like the result from c6:c14 to go into cell B3 (which is where the formula would go). I then will need to duplicate this formula for the 2nd occurrence of "Mary" ALONG WITH the 2nd occurrence of "Monday".  To simplify: I basically need to know how to get the value of 250 into cell B3 and the value of 412 into cell B4 based on the critera from Cells A6:B14   The rest of the people and days I can figure out once I get the formulas.  Note: the values in column C will never be the same (if that makes a difference)
[NAME] | Wednesday | 122
Cathy | Thursday | 43
[NAME] | Tuesday | 567
[NAME] | Monday | 412
[NAME] | Tuesday | 155
Spreadsheet: 123180d1317391374-comparing-2-excel-files-and-culling-the-different-data-sample2
Sheet: Sheet1

name | address | city | state | zip
bob | 111 street | dallas | tx | 75052
lilly | 222 street | arlington | tx | 76013
[NAME] | 333 way | fort worth | tx | 75112
[NAME] | 444 blvd | dallas | tx | 76102
jane | 555 street | dallas | tx | 76525
bad name | 666 court | arlington | tx | 76017
new name | 777 street | dallas | tx | 75252
Spreadsheet: 174a123a-b730-4784-8753-600da4111155
Sheet: Sarah Buxton

[NAME]
Fair Share Fee: Those Who Don't Pay Their Fair Share
Agree
Explain your fair share position, if you choose.
I support Fair Share. I wouldn't characterize the hurdles as they are stated in the first sentence.
Teachers' Retirement: Support in the State Budget
Agree
Explain your teachers' retirement position, if you choose.
I support honoring our agreements.
Health Care: Continuing System Reform
I'd like to explain my position
Explain your health care reform position, if you choose
I believe we should grandfather in the plans that provide better coverage than Green Mountain Care will ultimately require, and let the state
plan be the floor for negotiating additional coverage.
Teaching Career: Retaining New Teachers
Agree
Explain your teaching career position, if you choose
Strongly support. More emphasis on attracting talented and highly motivated individuals to the profession, supporter our schools
with teaching programs, and high quality professional development throughout career.
Teaching Profession: Simplifying Professional Relicensing
Agree
Explain your relicensing position, if you choose
Should also parallel opportunities for peer review and professional development.
Name | email address | Address | Office sought | Are you an incumbent? |  | County
[NAME] | [EMAIL] | 318 VT Route 110 | State Rep. | Yes |  | Windsor
Spreadsheet: 773847d1648068564-index-match-multiple-results-need-to-be-sorted-with-a-min-material
Sheet: Sheet1

Pattern | Material | Thickness | Scrap | Part Number
D | Aluminum | 0.006 | 0.05483636363636373 | Part1
D | Aluminum | 0.008 | 0.05483636363636373 | Part2
D | Aluminum | 0.01 | 0.05483636363636373 | Part3
D | Aluminum | 0.006 | 0.007938931297709863 | Part4
D | Aluminum | 0.008 | 0.007938931297709863 | Part5
D | Aluminum | 0.01 | 0.007938931297709863 | Part6
Pattern | D
Material | Aluminum
Thickness | 0.006
Part Number