tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 147728d1332949190-stock-transaction-and-trading-problem-123
Sheet: Sheet1

Date | Price | [NAME] | [NAME] | Profit
2012-02-23 00:00:00 | 3.2
2012-02-22 00:00:00 | 3.11 | Buy
2012-02-21 00:00:00 | 3.12
2012-02-20 00:00:00 | 3.13
2012-02-19 00:00:00 | 3.15 |  | Sell
2012-02-18 00:00:00 | 3.14 |  | Sell
2012-02-17 00:00:00 | 3.12
2012-02-16 00:00:00 | 3.12
2012-02-15 00:00:00 | 3.1 | Buy
2012-02-14 00:00:00 | 3.1
2012-02-13 00:00:00 | 3.09 |  | Sell
2012-02-12 00:00:00 | 3.09
Spreadsheet: 11823ef5-d278-4e99-b0e9-972d227f90b5
Sheet: Sheet1

Table 10--U.S. oilseed meal prices | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6
Marketing | Soybean | Cottonseed | Sunflowerseed | Peanut | Canola | Linseed
year | meal 2 | meal 3 | meal 4 | meal 5 | meal 6 | meal 7
 | $/Short ton
2001/02 | 167.72 | 136.16 | 87.27 | 112.32 | 143.33 | 121.29
2002/03 | 181.58 | 146.12 | 105 | 128.35 | 144.06 | 122.91
2003/04 | 256.05 | 183.47 | 111.14 | 177.56 | 188.45 | 159.25
2004/05 | 182.9 | 124.04 | 85.5 | 118.34 | 139.75 | 115.55
2005/06 | 174.1658333333333 | 144.2716666666667 | 77.46400000000001 | 106.9781818181818 | 140.5183333333333 | 115.53
2006/07 | 205.44 | 150.36 | 104.88 | 100 | 173.5 | 133.01
2007/08 | 335.94 | 253.81 | 172.81 |  | 251.32 | 228.81
2008/09 | 331.17 | 255.23 | 152.46 |  | 248.82 | 220.89
2009/10 | 311.27 | 220.9 | 151.04 |  | 224.92 | 209.23
2010/11 | 345.52 | 273.84 | 219.72 |  | 263.63 | 240.65
2011/12 | 393.53 | 275.13 | 246.75 |  | 307.59 | 265.68
2012/131 | 425-445 | 305-325 | 235-255 |  | 320-340 | 280-300
2011/12
October | 301.45 | 255.63 | 232.5 |  | 238.7 | 243.75
November | 290.37 | 240.5 | 224 |  | 235.2 | 239
December | 281.65 | 220.63 | 225.63 |  |  | 221.25
January | 310.65 | 213 | 223.5 |  | 253.98 | 209
February | 330.37 | 190 | 191.88 |  | 257.63 | 193.75
March | 365.95 | 225 | 191.88 |  | 277.83 | 216.25
April | 394.29 | 240.63 | 211.25 |  | 313.38 | 256.25
May | 415.17 | 270 | 230.5 |  | 333.69 | 279
June | 422.59 | 294.38 | 226.88 |  | 335.26 | 287.5
July | 515.82 | 350.5 | 300.5 |  | 378.86 | 343
August | 564.69 | 407.5 | 348.13 |  | 388.13 | 358.75
September | 529.37 | 393.75 | 354.38 |  | 370.79 | 340.63
2012/13
October | 488.46 | 343 | 287 |  | 354.49 | 334
November | 465.64 | 376.88 | 269.38 |  | 334.46 | 297.5
December | 459.4 | 345 | 266.67 |  | 349.55 | 335.83
January | 431.39 | 327.5 | 252 |  | 347.22 | 296
February1 | 440.66 | 279.38 | 237.5 |  | 359.23 | 303.75
1 Preliminary.  2 High-protein Decatur, IL.  3 41-percent Memphis.  4 34-percent North Dakota-Minnesota.
5 50-percent Southeast mills.  6 36-percent Pacific Northwest. 7 34-percent Minneapolis.
NA= Not available.
Source: USDA, Agricultural Marketing Service, Monthly Feedstuff Prices.
Last update: | 2013-03-12 10:41:14.840000
Spreadsheet: 96732d1296049119-stuck-lookup-help-tcc-new-final-left
Sheet: wk16

Tuesday
06:00:00 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Rank | Name | Night
Rank | Player | Sets Won | Score |  | Sets Won | Player | Rank |  | MW | ML | GW | GL | GB | SB | Points |  | 1
1 |  |  |  |  |  |  | 2
3 |  |  |  |  |  |  | 4
Rank | Player | Sets Won | Score |  | Sets Won | Player | Rank |  | MW | ML | GW | GL | GB | SB | Points
5 |  |  |  |  |  |  | 6
7 |  |  |  |  |  |  | 8
07:20:00
Rank | Player | Sets Won | Score |  | Sets Won | Player | Rank |  | MW | ML | GW | GL | GB | SB | Points
9 |  |  |  |  |  |  | 10
11 |  |  |  |  |  |  | 12
Rank | Player | Sets Won | Score |  | Sets Won | Player | Rank |  | MW | ML | GW | GL | GB | SB | Points
13 |  |  |  |  |  |  | 14
15 |  |  |  |  |  |  | 16
08:40:00
Rank | Player | Sets Won | Score |  | Sets Won | Player | Rank |  | MW | ML | GW | GL | GB | SB | Points
17 |  |  |  |  |  |  | 18
19 |  |  |  |  |  |  | 20
Rank | Player | Sets Won | Score |  | Sets Won | Player | Rank |  | MW | ML | GW | GL | GB | SB | Points
21 |  |  |  |  |  |  | 22
23 |  |  |  |  |  |  | 24
Wednesday
06:00:00
Rank | Player | Sets Won | Score |  | Sets Won | Player | Rank |  | MW | ML | GW | GL | GB | SB | Points
25 |  |  |  |  |  |  | 26
27 |  |  |  |  |  |  | 28
Rank | Player | Sets Won | Score |  | Sets Won | Player | Rank |  | MW | ML | GW | GL | GB | SB | Points
29 |  |  |  |  |  |  | 30
31 |  |  |  |  |  |  | 32
07:20:00
Rank | Player | Sets Won | Score |  | Sets Won | Player | Rank |  | MW | ML | GW | GL | GB | SB | Points
33 |  |  |  |  |  |  | 34
35 |  |  |  |  |  |  | 36
Rank | Player | Sets Won | Score |  | Sets Won | Player | Rank |  | MW | ML | GW | GL | GB | SB | Points
37 |  |  |  |  |  |  | 38
39 |  |  |  |  |  |  | 40
08:40:00
Rank | Player | Sets Won | Score |  | Sets Won | Player | Rank |  | MW | ML | GW | GL | GB | SB | Points
41 |  |  |  |  |  |  | 42
43 |  |  |  |  |  |  | 44
Rank | Player | Sets Won | Score |  | Sets Won | Player | Rank |  | MW | ML | GW | GL | GB | SB | Points
45 |  |  |  |  |  |  | 46
47 |  |  |  |  |  |  | 48
Thursday
06:00:00
Rank | Player | Sets Won | Score |  | Sets Won | Player | Rank |  | MW | ML | GW | GL | GB | SB | Points
49 |  |  |  |  |  |  | 50
51 |  |  |  |  |  |  | 52
Rank | Player | Sets Won | Score |  | Sets Won | Player | Rank |  | MW | ML | GW | GL | GB | SB | Points
53 |  |  |  |  |  |  | 54
55 |  |  |  |  |  |  | 56
07:20:00
Rank | Player | Sets Won | Score |  | Sets Won | Player | Rank |  | MW | ML | GW | GL | GB | SB | Points
57 |  |  |  |  |  |  | 58
59 |  |  |  |  |  |  | 60
Rank | Player | Sets Won | Score |  | Sets Won | Player | Rank |  | MW | ML | GW | GL | GB | SB | Points
61 |  |  |  |  |  |  | 62
63 |  |  |  |  |  |  | 64
08:40:00
Rank | Player | Sets Won | Score |  | Sets Won | Player | Rank |  | MW | ML | GW | GL | GB | SB | Points
65 |  |  |  |  |  |  | 66
67 |  |  |  |  |  |  | 68
Rank | Player | Sets Won | Score |  | Sets Won | Player | Rank |  | MW | ML | GW | GL | GB | SB | Points
69 |  |  |  |  |  |  | 70
71 |  |  |  |  |  |  | 72
Spreadsheet: 216b3163-6ca8-4d74-97bc-dc7b6d8a4da4
Sheet: Sheet1

Table 6--U.S. rice imports  1/ | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6
Country | 2012/13 | 2011/12 | 2011/12 | 2010/11 | 2009/10 | 2008/09
or | August 2012 to | August 2011 to | market | market | market | market
region | April 2013 | April 2012 | year | year | year | year
 |  |  | 1,000 metric tons
ASIA | 470.264 | 412.495 | 541.563 | 529.833 | 563.943544 | 536.401387
China | 2.417 | 2.513 | 3.571 | 3.1 | 3.786815 | 3.951477
India | 92.868 | 82.008 | 110.58 | 96.454 | 94.809691 | 74.049801
Pakistan | 10.573 | 11.333 | 15.258 | 17.297 | 19.386689 | 16.851572
Thailand | 305.473 | 298.289 | 387.642 | 393.464 | 400.976938 | 422.132044
Vietnam | 56.533 | 16.119 | 21.664 | 15.601 | 41.55395 | 17.477892
Other | 2.400000000000048 | 2.233000000000033 | 2.84800000000007 | 3.916999999999916 | 3.429461 | 1.938601
EUROPE & FSU | 9.501 | 9.931 | 14.236 | 12.485 | 9.411 | 7.564
Italy | 5.886 | 5.963 | 8.201 | 7.53 | 6.220285 | 5.73241
Spain | 2.066 | 2.825 | 4.671 | 3.753 | 1.55218 | 0.419219
Russia | 0.031 | 0.022 | 0.024 | 0.034 | 0.032442 | 0.064456
United Kingdom | 0.112 | 0.039 | 0.039 | 0.009 | 0.126368 | 0.429608
Other | 1.405999999999999 | 1.081999999999999 | 1.301 | 1.158999999999999 | 1.479725 | 0.9183070000000002
WESTERN HEMISPHERE | 26.716 | 52.863 | 64.526 | 42.735 | 30.357 | 31.065164
Argentina | 3.73 | 2.11 | 3.366 | 2.677 | 2.466583 | 1.121503
Brazil | 3.959 | 27.569 | 30.499 | 6.331 | 3.51007 | 3.902248
Canada | 8.629 | 12.322 | 16.323 | 17.067 | 15.358 | 18.035834
Mexico | 0.766 | 0.889 | 1.085 | 1.264 | 6.120591 | 6.094151
Uruguay | 9.57 | 9.958 | 13.211 | 15.35 | 2.871551 | 1.710958
Other | 0.06200000000000117 | 0.01500000000000234 | 0.04199999999998738 | 0.045744 | 0.030665 | 0.20047
OTHER | 1.399999999999963 | 0.7329999999999899 | 0.966000000000065 | 3.532636 | 5.470538 | 39.298261
Egypt | 0.591 | 0.001 | 0 | 0 | 0.645 | 36.591199
United Arab Emirates | 0.249 | 0.478 | 0.522 | 3.03 | 4.441327 | 2.224564
Other | 0.5599999999999631 | 0.2539999999999899 | 4.2 | 0.5 | 0.384703 | 0.482498
TOTAL | 507.881 | 476.022 | 621.291 | 588.611 | 609.182 | 614.331
1/ Columns labeled "market year" are total August-July imports reported by the U.S. Census Bureau.
All data is reported on a product-weight basis.  Categories may not sum to total due to rounding.
Source: U.S. Census Bureau, Department of Commerce.
Last updated June 14, 2013.
Spreadsheet: 42513d1241056306-multiple-ratio-to-whole-number-fraction-conversions-new-1-
Sheet: Sheet3

 |  |  |  |  |  |  |  | Ratio | 1:36 | 1:18 | 1:9 | 1:4 | 1:2 | 1:1
From Ratios |  | Ratio to convert from | Amount of minutes | Ratio to convert to | Output |  |  | 1:36 | 1 | 2 | 4 | 9 | 18 | 36
1:36 |  | 1:18 | 100 | 1:4 | 22.22222222222222 |  |  | 1:18 | 2 | 1 | 2 | 4.5 | 9 | 18
1:18 |  |  |  |  |  |  |  | 1:9 | 4 | 2 | 1 | 2.5 | 4.5 | 9
1:9 |  |  |  | alternative is | 450 |  |  | 1:4 | 9 | 4.5 | 2.5 | 1 | 2 | 4
1:4 |  |  |  |  |  |  |  | 1:2 | 18 | 9 | 4.5 | 2 | 1 | 2
1:2 |  |  |  |  |  |  |  | 1:1 | 36 | 18 | 9 | 4 | 2 | 1
1:1
 |  |  |  |  |  |  |  |  | 50 | 25 | 13 | 5 | 3 | 1
 |  |  |  |  |  |  |  |  | 100 | 50 | 25 | 11 | 5 | 3
 |  |  |  |  |  |  |  |  | 200 | 100 | 50 | 22 | 11 | 5
 |  |  |  |  |  |  |  |  | 450 | 205 | 112 | 50 | 25 | 13
 |  |  |  |  |  |  |  |  | 900 | 450 | 205 | 100 | 50 | 25
 |  |  |  |  |  |  |  |  | 1800 | 900 | 450 | 200 | 100 | 50
Spreadsheet: 220769d1363262294-count-the-number-of-times-a-value-appears-in-one-column-whilst-within-a-date-from-another-example
Sheet: Sheet1

Crashed PC Name | Date Crashed |  |  | List of PC's | Number of times crashed | Times Crahed In 2013 | [NAME] in 2000
12345 | 2001 |  |  | 12345
12345 | 2013 |  |  | 63454
12345 | 2013 |  |  | 322234
12345 | 2000 |  |  | 99887
12345 | 2001 |  |  | 36352
12345 | 2013 |  |  | 47362
12345 | 2013 |  |  | 95746
63454 | 2000 |  |  | 23474
63454 | 2001
63454 | 2013
63454 | 2013
322234 | 2000
322234 | 2001
322234 | 2013
99887 | 2013
99887 | 2000
99887 | 2001
99887 | 2013
99887 | 2013
99887 | 2000
36352 | 2001
36352 | 2013
36352 | 2013
36352 | 2000
36352 | 2001
47362 | 2013
47362 | 2013
47362 | 2000
47362 | 2001
95746 | 2013
95746 | 2013
95746 | 2000
95746 | 2001
95746 | 2013
95746 | 2013
95746 | 2000
95746 | 2001
95746 | 2013
23474 | 2013
23474 | 2000
23474 | 2001
23474 | 2013
23474 | 2013
23474 | 2000
23474 | 2001
23474 | 2013
23474 | 2013
23474 | 2000
23474 | 2001
23474 | 2013
23474 | 2013
23474 | 2000
23474 | 2001
23474 | 2013
Spreadsheet: 769724d1645654031-connected-workbook-shifting-data-in-rows-send
Sheet: Sheet1

a | b | c | d | e | f
A | 11 | 11 | 11 | 11 | 11
B | 12 | 12 | 12 | 12 | 12
C | 13 | 13 | 13 | 13 | 13
D | 14 | 14 | 14 | 14 | 14
E | 15 | 15 | 15 | 15 | 15
F | 16 | 16 | 16 | 16 | 16
G | 17 | 17 | 17 | 17 | 17
new | 18 | 18 | 18 | 18 | 18
new2 | 19 | 19 | 19 | 19 | 19
Spreadsheet: 251ea124-ae04-48a9-a03a-624be6774d7f
Sheet: 2_Rates (Edit)

FY Expenditure Detailed Budget of Costs
Fiscal Year | Rates (Used in by [NAME]) | Federal Allowable Maximum Rate | Rate Variance ($ & %) |  |  | Proposed Rates (INPUT) | Rate Note
 | 400 |  |  |  |  | 400 | Enter rate if different than Calculated Rate
 | 65 |  |  |  |  | 65 | Enter rate if different than Calculated Rate
 | 0 |  |  |  |  | 10 | Enter rate if different than Calculated Rate
 | 0 |  |  |  |  | 10 | Enter rate if different than Calculated Rate
 | 0 |  |  |  |  | 300 | Enter rate if different than Calculated Rate
 | 0 |  |  |  |  | 60 | Enter rate if different than Calculated Rate
 | 0 |  |  |  |  | 1 | Enter rate if different than Calculated Rate
 | 0 |  |  |  |  | 15 | Enter rate if different than Calculated Rate
 | 0 |  |  |  |  | 750 | Enter rate if different than Calculated Rate
 | 0 |  |  |  |  | 75 | Enter rate if different than Calculated Rate
 | 0 |  |  |  |  | 50 | Enter rate if different than Calculated Rate
 | 0 |  |  |  |  | 400 | Enter rate if different than Calculated Rate
 | 0 |  |  |  |  | 1 | Enter rate if different than Calculated Rate
 | 0 |  |  |  |  | 1000 | Enter rate if different than Calculated Rate
Spreadsheet: 89843d1289572008-chart-add-series-dynamically-no-macro-752998
Sheet: Foglio2

Column1 | gen | feb | [NAME] | apr | mag | [NAME] | lug | ago | set | ott | nov | dic
2005 | 19 | 53 | 38 | 20 | 29 | 69 | 91 | 33 | 9 | 16 | 63 | 46
2006 | 1 | 60 | 91 | 52 | 70 | 14 | 92 | 57 | 16 | 90 | 50 | 100
2007 | 81 | 27 | 26 | 92 | 79 | 10 | 73 | 22 | 49 | 40 | 89 | 72
2008 | 9 | 84 | 47 | 9 | 46 | 98 | 56 | 95 | 93 | 37 | 66 | 81
2009
2010
2011 | 12 | 12 | 4 | 6 | 56 | 56 | 34 | 34 | 34 | 54 | 46 | 45
Spreadsheet: 273676d1382843365-average-age-in-sports-team-average-sports-age-1-2003
Sheet: Sheet1

 |  |  | Game's total time: | 93 |  |  | time increments
 |  |  | Age | Start time | End time | Average sports age | 0 | 56 | 70 | 93 | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A | #N/A
 |  | Player A | 31 | 0 | 93 | 27.33010752688172 |  | 31 | 31 | 31 | 0 | 0 | 0 | 0 | 0 | 0 | 0
 |  | Player B | 34 | 0 | 70 | 28.26 |  | 34 | 34 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
 |  | Player C | 27 | 0 | 56 | 28.2 |  | 27 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
 |  | Player D | 25 | 0 | 93 | 27.33010752688172 |  | 25 | 25 | 25 | 0 | 0 | 0 | 0 | 0 | 0 | 0
 |  | Player E | 24 | 0 | 93 | 27.33010752688172 |  | 24 | 24 | 24 | 0 | 0 | 0 | 0 | 0 | 0 | 0
 |  | Player F | 18 | 70 | 93 | 24.5 |  | 0 | 0 | 18 | 0 | 0 | 0 | 0 | 0 | 0 | 0
 |  |  |  |  |  |  |  | 28.2 | 28.5 | 24.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0
 |  |  |  |  |  |  |  | 16.98064516129032 | 4.290322580645161 | 6.059139784946237 | 0 | 0 | 0 | 0 | 0 | 0 | 0
 |  |  |  |  |  |  |  | 22.56 | 5.7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
 |  |  |  |  |  |  |  | 28.2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
 |  |  |  |  |  |  |  | 16.98064516129032 | 4.290322580645161 | 6.059139784946237 | 0 | 0 | 0 | 0 | 0 | 0 | 0
 |  |  |  |  |  |  |  | 16.98064516129032 | 4.290322580645161 | 6.059139784946237 | 0 | 0 | 0 | 0 | 0 | 0 | 0
 |  |  |  |  |  |  |  | 0 | 0 | 24.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0
Spreadsheet: 209806d1359228647-remove-empty-row-upon-close-transport-log-version-1-
Sheet: Sheet1

Instructions:
Double clicking most fields will auto-fill the information.  [NAME], LOCATION, TRANSPORTER fields must be manually entered by typing.
Clicking the " X " in the upper right hand corner will save and close this file, allowing another employee to enter data. Always close this file when you have finished
making entries or viewing the information. Leaving this file open, prevents others from entering information.
DATE & TIME |  | PATIENT NAME & LOCATION |  | DESTINATION |  |  |  |  | MODE OF TRANSPORT & NEEDS |  |  |  |  | NAME | TO DEPARTMENT |  |  |  | FROM DEPARTMENT
DATE | REQUEST TIME | PATIENT NAME | [NAME] | CARDIO | CT | MRI | US | XRAY | WC | Stretcher | O2 | Fall Precautions | Contact Precautions | TRANSPORTER | LEAVE DEPT | ARRIVE PT LOC | LEAVE PT LOC | ARRIVE DEPT | LEAVE DEPT | ARRIVE PT LOC | LEAVE PT LOC | ARRIVE DEPT | COMPLETED
2012-12-23 00:00:00 | 00:58:22 | Smith, [NAME] | 215 |  |  |  |  | X |  | X |  | X |  | KK | 15:45:55 | 15:45:56 | 15:45:57 | 15:45:59
2012-12-23 00:00:00 | 15:30:03 | Jones, Mary | 326 |  |  |  |  |  |  |  | X |  | X | BL | 15:30:17 | 15:30:19 | 15:30:21 | 15:34:26 | 11:00:08 | 11:00:11 | 11:00:13 | 11:00:16
2013-01-26 00:00:00 | 14:24:46 | Lincoln, [NAME] | 523 |  | X |  | X |  | X |  |  | X | X | KK | 14:25:09 | 14:25:10 | 14:25:10 | 14:25:12 | 14:25:13 | 14:25:14 | 14:25:15 | 14:25:17
2012-12-24 00:00:00 | 10:57:23 | Peahuff, [NAME] | 411 |  |  |  |  |  | X |  | X | X |  | JM | 10:57:44 | 10:57:49 | 10:57:50 | 10:57:51 |  | 11:00:19
2012-12-24 00:00:00 | 18:07:35 | Morrison, Pam | 509 |  |  |  |  |  | X |  | X |  | X | ST | 18:08:05 | 18:08:07 | 18:08:09 | 18:08:11 |  |  | 11:00:21
Spreadsheet: 266498d1379629918-how-to-find-numbers-and-replace-text-in-next-column-book1
Sheet: Sheet1

numbers | put name
[PHONE] 909298596 AD [PHONE] | CHENNAI NUMBER
[PHONE] 909298596 AD [PHONE] | #N/A
Cug Not required | #N/A
[PHONE] AD [PHONE] | CHENNAI NUMBER
[PHONE] AD [PHONE] INTERLOCK CODE 666650199 | CHENNAI NUMBER
Cug Not required | #N/A
Cug Not required | #N/A
[PHONE] AD [PHONE] | #N/A
[PHONE] [PHONE] | CHENNAI NUMBER
Cug Not required | #N/A
Cug Not required | #N/A
[PHONE] [PHONE] ad [PHONE] | #N/A
[PHONE] [PHONE] ad [PHONE] | #N/A |  |  |  | I WANT FIND LIKE THIS WAY. ANY WAY FO FIND LIKE THIS?
Cug Not required | #N/A
Cug Not required | #N/A
[PHONE] AD [PHONE] | #N/A
[PHONE] AD [PHONE] | #N/A
Cug Not required | #N/A
Cug Not required | #N/A
Cug Not required | #N/A
[PHONE] AD [PHONE] | #N/A
Cug Not required | #N/A
[PHONE] [PHONE] | #N/A
Cug Not required | #N/A
Spreadsheet: 731601d1620447426-change-a-value-of-a-cell-if-that-value-already-exists-in-other-cells-example
Sheet: Sheet1

Reference |  | Expected Output
11 |  | 11
6 |  | 6
11 |  | 12
7 |  | 7
12 |  | 1
1 |  | 2
9 |  | 9
7 |  | 8
7 |  | 10
8 |  | 3
Reference 2 |  | Expected Output 2
12 |  | 12
7 |  | 7
6 |  | 6
7 |  | 8
5 |  | 5
2 |  | 2
2 |  | 3
1 |  | 1
8 |  | 9
1 |  | 4
Spreadsheet: 716844d1612377808-copy-rows-down-n-times-book4
Sheet: Sheet1

Thing 1 | Number |  |  |  |  | Thing 2 | Number
ant | 2 |  |  |  |  | <A><B>A1</B><B>A2</B></A> | 2
bat | 4 |  |  | ant |  | <A><B>A3</B></A> | 4
cat | 3 |  |  | bat |  | <A><B>A4</B></A> | 3
dog | 1 |  |  | bat |  | <A><B>A5</B><B>A6</B><B>A7</B></A> | 1
eel | 4 |  |  | bat |  | <A><B>A8</B><B>A9</B></A> | 4
 |  |  |  | bat
 |  |  |  | cat
 |  |  |  | cat
 |  |  |  | cat
 |  |  |  | dog
 |  |  |  | eel
 |  |  |  | eel
 |  |  |  | eel
 |  |  |  | eel
Spreadsheet: 739784d1625930329-non-array-formula-to-extract-unique-values-in-column-a2-a61-and-place-in-b2-b61-non-array-to-extract-unique-values
Sheet: Here

Letter | Unique Values
 | A
 | B
 | C
 | E
 | F
 | H
 | J
 | L
 | M
 | O
 | P
 | R
 | S
 | T
Spreadsheet: kevin_presto__19763__Update 1 ss
Sheet: Sheet1

New Generation Project   UPDATE 1
2001-04-27 00:00:00
If you have any questions, please feel free to contact [NAME] (3-9510) or [NAME] (3-9844).
Plant | MW | Unit | # of Units | MW/Unit | Fuel | Mo | Year | City | State | NERC | Test Date | Start Date
Daniel / Escatawpa | 1000 | CC |  |  | NG | 4 | 2001 | Jackson County | MS | SOCO
 |  |  | 1 | 532 |  |  |  |  |  |  | tested | in service
 |  |  | 2 | 532 |  |  |  |  |  |  | tested | 2001-05-01 00:00:00
[NAME] Junction | 530 | CT |  |  | NG | 5 | 2001 | Trimont | MN | MAPP
 |  |  | 1 |  |  |  |  |  |  |  | about a week | early May
 |  |  | 2 |  |  |  |  |  |  |  | about a week | early May
 |  |  | 3 |  |  |  |  |  |  |  |  | by June 7
 |  |  | 4 |  |  |  |  |  |  |  |  | by June 7
 |  |  | 5 |  |  |  |  |  |  |  |  | by June 7
 |  |  | 6 |  |  |  |  |  |  |  |  | by June 7
Attala | 500 | CC |  |  | NG | 5 | 2001 | McAdams | MS | SPP | currently testing | approx 5/15
New Castle | 335 | CT |  |  | NG | 5 | 2001 | New Castle Cty | DE | PJM | approx 1st wk May | 2001-06-01 00:00:00
Big Sandy Peaker Plant LLC | 300 | CT |  |  | NG | 5 | 2001 | Wayne County | WV | ECAR | currently testing | 2001-06-01 00:00:00
Hog Bayou Energy Center | 240 | CC |  |  | NG | 4 | 2001 | Mobile | AL | SOCO | not set | 2001-06-10 00:00:00
MEAG/Merchant | 160 | CT |  |  | NG | 5 | 2001 | Monroe | GA | SOCO | unknown | unknown
Spreadsheet: chris_germany__1958__lonestarnom
Sheet: Mar8

[NAME]
[NAME]
Dallas, TX  75201-5696
Attention: | Wilma Easter - Scheduling Department |  |  | From: | Enron Capital & Trade
Fax: | 214/875-3810 |  |  |  | [NAME]
 |  |  |  |  | 713/853-9781 (Phone)
 |  |  |  |  | 713/345-7374 (Fax)
Contract #LS-MC-1671 |  |  | Start Date: | 2002-03-08 00:00:00 |  | End Date: | 2002-03-08 00:00:00
RECEIPT POINT INFORMATION:
STATION # | [NAME] | UPSTREAM K# | NOM QUANTITY | FUEL % | NET QUANTITY
17-1240-50 | NNG Sprayberry | 108743 | 3471 | 0.01 | 3436
17-1240-50 | NNG Sprayberry | 107903 | 0 | 0.01 | 0
17-1240-50 | NNG Sprayberry | 108466 | 0 | 0.01 | 0
17-7462-50 | [NAME] | 5268 | 1529 | 0.01 | 1514
17-0071-00 | [NAME] | at plant | 0 | 0.01 | 0
17-3000-00 | [NAME] | 2827276201 | 15000 | 0.01 | 14850
DELIVERY POINT INFORMATION:
STATION # | [NAME] | DOWNSTREAM K# | NOM QUANTITY | FUEL % | NET QUANTITY
25-0002-00 | Kleburne Plant | 1671 | 20000 |  | 20000
Spreadsheet: 3e0495be-c307-4df7-8b49-b8ca0ae395a8
Sheet: FEB04 TEMPLATE

GENERAL ED REVENUE PROJECTIONS: FY 2002
NOVEMBER 2003 FORECAST VS END OF SESSION 2003
 | AMCPU: | DISTRICT | CHARTER | TOTAL
 | DEPT. ESTIMATE | 968211 | 0
 | DIST. ESTIMATE | 967747 | 0
 | ADJUSTMENT
 |  | AID | [NAME] | TOTAL | /PU
NOVEMBER | A. BASIC |  |  | BSREV$$
FORECAST | [NAME] |  |  | EXDAYR$$
2003 | [NAME] SKILLS
 | * COMPENSATORY |  |  | CPSREV$$
 | * LEP |  |  | LEPREV$$
 | * LEP CONC |  |  | LEPCRV$$
 | * AOM |  |  | AOMREV$$
 | D. SPARSITY |  |  | TOTSRS$$
 | E. TRANSPORT SPARSITY |  |  | TSRSRV$$
 | F. OPER CAPITAL | CEXAID$$ | CEXLVY$$ | OCEXRV$$
 | G. TRAIN & EXPER |  |  | TNEREV$$
 | [NAME] | EQAID$$ | EQLVY$$ | EQREV$$
 | I. REDUCTION
 | J. A THROUGH H | TOTAID$$ | TOTLVY$$ | TOTREV$$
 | K. TRANSITION | TRSAID$$ | TRSLVY$$ | TRSREV$$
 | L. SUPPLEMENTAL | SLPAID$$ | SLPLVY$$ | SLPREV$$
 | M. REFERENDUM | REFAID$$ | RFLVYN$$ | REFREV$$
 | N. TAX BSE REPL | REPAID$$
 | O. ALT ATT ADJ | OPTADJ$$ |  | OPTADJ$$
 | P. I+J+K+L+M+N | GRDAID$$ | GRDLVY$$ | [NAME]
END OF | A. BASIC |  |  | BSREV4E
SESSION | [NAME] |  |  | EXDAYR4E
2003 | [NAME] SKILLS
 | * COMPENSATORY |  |  | CPSREV4E
 | * LEP |  |  | LEPREV4E
 | * LEP CONC |  |  | LEPCRV4E
 | * AOM |  |  | AOMREV4E
 | D. SPARSITY |  |  | TOTSRS4E
 | E. TRANSPORT SPARSITY |  |  | TSRSRV4E
 | F. OPER CAPITAL | CEXAID4E | CEXLVY4E | OCEXRV4E
 | G. TRAIN & EXPER |  |  | TNEREV4E
 | [NAME] | EQAID4E | EQLVY4E | EQREV4E
 | I. REDUCTION
 | J. A THROUGH H | TOTAID4E | TOTLVY4E | TOTREV4E
 | K. TRANSITION | TRSAID4E | TRSLVY4E | TRSREV4E
 | L. SUPPLEMENTAL | SLPAID4E | SLPLVY4E | SLPREV4E
 | M. REFERENDUM | REFAID4E | RFLVYN4E | REFREV4E
 | N. TAX BSE REPL | REPAID4E
 | O. ALT ATT ADJ | OPTADJ4E |  | OPTADJ4E
 | P. I+J+K+L+M+N | GRDAID4E | GRDLVY4E | GRDREV4E
DIFF. | A. BASIC |  |  | BSREVDF | N/A
 | [NAME] |  |  | EXDAYRDF
 | [NAME] SKILLS |  |  |  | N/A
 | * COMPENSATORY |  |  | CPSREVDF
 | * LEP |  |  | LEPREVDF
 | * LEP CONC |  |  | LEPCRVDF
 | * AOM |  |  | AOMREVDF
 | D. SPARSITY |  |  | TOTSRSDF | N/A
 | E. TRANSPORT SPARSITY |  |  | TSRSRVDF | N/A
 | F. OPER CAPITAL | CEXAIDDF | CEXLVYDF | OCEXRVDF | N/A
 | G. TRAIN & EXPER |  |  | [NAME] | N/A
 | [NAME] | EQAIDDF | EQLVYDF | EQREVDF | N/A
 | I. REDUCTION
 | J. A THROUGH H | TOTAIDDF | TOTLVYDF | TOTREVDF | N/A
 | K. TRANSITION | TRSAIDDF | TRSLVYDF | TRSREVDF | N/A
 | L. SUPPLEMENTAL | SLPAIDDF | SLPLVYDF | SLPREVDF | N/A
 | M. REFERENDUM | REFAIDDF | RFLVYNDF | REFREVDF | N/A
 | N. TAX BSE REPL | REPAIDDF
 | O. ALT ATT ADJ | OPTADJDF |  | OPTADJDF | N/A
 | P. I+J+K+L+M+N | GRDAIDDF | GRDLVYDF | GRDREVDF | N/A
Spreadsheet: 145969d1331834120-excel-2007-formulation-book1formulation
Sheet: Sheet1

Crystal School District Student Teacher Ratios
School | Number of Students | Number of Teachers | Student/Teacher Ratio
Cleveland | 741 | 43 | 17.23255813953488
Parkside | 884 | 38 | 23.26315789473684
Powers | 643 | 37 | 17.37837837837838
Lakeview | 906 | 39 | 23.23076923076923
Sunnyslope | 704 | 40 | 17.6
Prairieview | 715 | 41 | 17.4390243902439
Mountainview | 793 | 40 | 19.825
Total | 5386 | 278 | 19.37
Spreadsheet: 847485d1698394562-how-to-fetch-value-in-a-cell-based-on-table-reference-book2
Sheet: Mappings

MUD ID | Name
1 | A
2 | B
3 | C
4 | D
5 | E
6 | F
7 | G
8 | H
9 | I
10 | J
Spreadsheet: 133751d1324576785-lookup-values-from-three-different-columns-in-a-table-matrix-lookup-problem-for-target
Sheet: Report

Name | Emp1
Amount
Months | 2009 | 2010 | 2011
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
GT