tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 124672d1318531800-help-with-array-formulas-to-calculate-value-getting-an-error-book2
Sheet: Sheet1

Quarter | Year | Period | Score |  |  |  | Period | Median of Score Calc. Manually
Q1 | 2010 | Q1, 2010 | 43.3 |  |  |  | Q1, 2010 | 63.3
Q1 | 2010 | Q1, 2010 | 73.3 |  |  |  | Q2, 2010 | 81.65
Q1 | 2010 | Q1, 2010 | 23.3 |  |  |  | Q3, 2010 | 80
Q1 | 2010 | Q1, 2010 | 80 |  |  |  | Q4, 2010 | 85
Q1 | 2010 | Q1, 2010 | 63.3 |  |  |  | Q1, 2011 | 100
Q1 | 2010 | Q1, 2010 | - |  |  |  | Q2, 2011 | 77
Q2 | 2010 | Q2, 2010 | 90 |  |  |  | Q3, 2011 | 80
Q2 | 2010 | Q2, 2010 | 83.3
Q2 | 2010 | Q2, 2010 | -
Q2 | 2010 | Q2, 2010 | 20 |  |  |  | Question is how to calculate
Q2 | 2010 | Q2, 2010 | 80 |  |  |  | table above using [NAME] formulas
Q3 | 2010 | Q3, 2010 | 80
Q3 | 2010 | Q3, 2010 | 80
Q3 | 2010 | Q3, 2010 | 100
Q3 | 2010 | Q3, 2010 | 100 |  |  |  | Calculate value for Q3,2011
Q3 | 2010 | Q3, 2010 | 80
Q3 | 2010 | Q3, 2010 | 70 |  |  |  | Q3, 2011
Q3 | 2010 | Q3, 2010 | 60
Q3 | 2010 | Q3, 2010 | 90
Q3 | 2010 | Q3, 2010 | 80
Q3 | 2010 | Q3, 2010 | 80
Q4 | 2010 | Q4, 2010 | 90
Q1 | 2011 | Q1, 2011 | 90
Q1 | 2011 | Q1, 2011 | 100
Q1 | 2011 | Q1, 2011 | 100
Q1 | 2011 | Q1, 2011 | 100
Q3 | 2011 | Q3, 2011 | 80
Q3 | 2011 | Q3, 2011 | 80
Q3 | 2011 | Q3, 2011 | 50
Q3 | 2011 | Q3, 2011 | 100
Q3 | 2011 | Q3, 2011 | 60
Q3 | 2011 | Q3, 2011 | 60
Q3 | 2011 | Q3, 2011 | 83
Q3 | 2011 | Q3, 2011 | 90
Q3 | 2011 | Q3, 2011 | 70
Q3 | 2011 | Q3, 2011 | 100
Q3 | 2011 | Q3, 2011 | 90
Q3 | 2011 | Q3, 2011 | 70
Q3 | 2011 | Q3, 2011 | 87
Q3 | 2011 | Q3, 2011 | 90
Q3 | 2011 | Q3, 2011 | 90
Q3 | 2011 | Q3, 2011 | 80
Q3 | 2011 | Q3, 2011 | 67
Q3 | 2011 | Q3, 2011 | 80
Q3 | 2011 | Q3, 2011 | 100
Q3 | 2011 | Q3, 2011 | 73
Q3 | 2011 | Q3, 2011 | 100
Q3 | 2011 | Q3, 2011 | 100
Q3 | 2011 | Q3, 2011 | 80
Spreadsheet: 272394d1382372273-excel-2010-mode-formula-help-test-time-observation-sheet
Sheet: Trial1

Process for Observation |  | TIME OBSERVATION FORM                          ***Mode = the most repeated value from each of the ten tasks*** |  |  |  |  |  |  |  |  |  |  | Observation Date |  |  |  |  |  | Analysis Number
 |  |  |  |  |  |  |  |  |  |  |  |  | Observation Time |  |  |  |  |  | Observer
No. | Component Task | Task 1 |  | Task 2 |  | Task 3 |  | Task 4 |  | Task 5 |  | Task 6 |  | Task 7 |  | Task 8 |  | Task 9 |  | Task 10 |  | Lowest Elemental Time (Mode)
XX | FROM: Walking through Door | 4 | Minutes | 2 | Minutes | 3 | Minutes | 4 | Minutes | 1 | Minutes | 4 | Minutes | 2 | Minutes | 4 | Minutes | 2 | Minutes | 2 | Minutes
 | TO:  First contact with Staff
 | FROM: |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes
 | TO:
 | FROM: |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes
 | TO:
 | FROM: |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes
 | TO:
 | FROM: |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes
 | TO:
 | FROM: |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes
 | TO:
 | FROM: |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes
 | TO:
 | FROM: |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes
 | TO:
 | FROM: |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes
 | TO:
 | FROM: |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes
 | TO:
 | FROM: |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes
 | TO:
 | FROM: |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes
 | TO:
 | FROM: |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes
 | TO:
 | FROM: |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes |  | Minutes
 | TO:
Time for 1 Cycle (Minutes):
Spreadsheet: 32960d1229118050-if-and-statements-lookup-and-if
Sheet: Sheet1

1 | i | 3 | c
2 | h
3 | g
4 | f
5 | e
6 | d |  | input search criteria in c1
7 | c |  | if a match is found in a1:a9, it will use vlookup on sheet 2 a1:b9
8 | b
9 | a
Spreadsheet: 00bab30e-f2a6-4364-a933-4d4909af51f6
Sheet: Sheet1

Table 6--U.S. commercial rice imports  1/ | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7
Country |  | 2011/12 | 2010/11 | 2010/11 | 2009/10 | 2008/09 | 2007/08
or |  | as of | as of | market | market | market | market
region |  | November 2011  2/ | November 2010 | year | year | year | year
 |  |  |  | 1,000 metric tons
ASIA |  | 171.6 | 168.4 | 529.789927 | 563.943544 | 536.401387 | 720.1501
China |  | 1.6 | 0.5 | 3.099664 | 3.786815 | 3.951477 | 122.996458
India |  | 33 | 30.1 | 96.454493 | 94.809691 | 74.049801 | 119.053533
Pakistan |  | 4 | 6.5 | 17.316937 | 19.386689 | 16.851572 | 19.37655
Thailand |  | 126 | 127 | 393.401422 | 400.976938 | 422.132044 | 454.383251
Vietnam |  | 6.5 | 3.3 | 15.901274 | 41.55395 | 17.477892 | 0.557244
Other |  | 0.5 | 1 | 3.616137 | 3.429461 | 1.938601 | 3.783064
EUROPE & FSU |  | 5 | 2.9 | 12.509634 | 9.410672 | 7.566448 | 8.544636
Italy |  | 2.4 | 1.8 | 7.529541 | 6.220285 | 5.73241 | 6.322959
Spain |  | 2 | 0.7 | 3.752805 | 1.55218 | 0.419219 | 0.419324
Russia |  | 0.006133 | 0.004275 | 0.034217 | 0.032442 | 0.064456 | 0.109972
United Kingdom |  | 0.037 | 0 | 0.00935 | 0.126368 | 0.429608 | 0.533302
Other |  | 0.6 | 0.4 | 1.183721 | 1.479397 | 0.920755 | 1.159079
WESTERN HEMISPHERE |  | 33.6 | 7.7 | 42.735403 | 30.357434 | 31.065164 | 28.463008
Argentina |  | 0.7 | 1.1 | 2.677326 | 2.466583 | 1.121503 | 2.633889
Brazil |  | 21.4 | 1 | 6.331146 | 3.51007 | 3.902248 | 2.440662
Canada |  | 5.5 | 5 | 17.067255 | 15.357974 | 18.035834 | 13.571453
Mexico |  | 0.493 | 0.3 | 1.263642 | 6.120591 | 6.094151 | 9.207343
Uruguay |  | 5.5 | 0.384023 | 15.35029 | 2.871551 | 1.710958 | 0.257859
Other |  | 0 | 0.0096 | 0.045744 | 0.030665 | 0.20047 | 0.351802
OTHER |  | 0.4 | 2.7 | 3.532636 | 5.470538 | 39.298261 | 5.195028
Egypt |  | 0 | 0 | 0 | 0.644508 | 36.591199 | 2.714611
United Arab Emirates |  | 0.3 | 1.8 | 3.029955 | 4.441327 | 2.224564 | 2.161834
Other |  | 0.07481 | 0.9 | 0.502681 | 0.384703 | 0.482498 | 0.318583
TOTAL |  | 210.4 | 181.5 | 588.5676 | 609.182188 | 614.33126 | 762.352772
1/ Columns labeled "market year" are total August-July imports reported by the U.S. Census Bureau.  2/ Most recent month available.
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 January 12, 2012.
Spreadsheet: 717174d1612520880-return-all-matches-between-two-arrays-array-match-sample
Sheet: Sheet1

 | This is an example of how the data is listed although not in adjacent columns
 | Order No | SKU | Coat |  |  |  | Cat1 SKU's
 | 45609 | G99 | SU |  |  |  | WEN
 | 45609 | COS | SU |  |  |  | PI
 | 45609 | G99 | SU |  |  |  | DABI
 | 45609 | COH | SU |  |  |  | M2VP
 | 24898 | 981 | HT |  |  |  | M2OP
 | 24898 | 400 | HT |  |  |  | [NAME]
 | 24898 | M2VP | HT |  |  |  | WENB2
 | 76785 | 981 | OX |  |  |  | COS
 | 76785 | [NAME] | OX |  |  |  | COH
 | 76785 | 981 | OX
 | 76785 | [NAME] | OX
 | 76785 | 669 | OX
 | 48076 | PI | BU
 | 48076 | G99 | BU
 | 48076 | PI | BU
 | 48076 | G99 | BU
 | This would be a great result
 | Order No | SKU1 | SKU2
 |  | COS | COH
 | 24898 | M2VP | -
 | 76785 | [NAME] | [NAME]
 | 48076 | PI | PI
Spreadsheet: 823693d1680097030-how-to-convert-the-time-format-need-to-convert-time
Sheet: Sheet1

Copy Data From Website | Actual require
00:02:05 | 00:02:05
00:08:00 | 00:00:08
01:53:00 | 00:01:53
00:33:00 | 00:00:33
00:54:00 | 00:00:54
0:07:30 | 00:31:30
06:56:00 | 00:06:56
11:39:00 | 00:11:39
07:33:00 | 00:07:33
01:23:00 | 00:01:23
Spreadsheet: 4bb3070d-f013-472c-8057-98fcad16b0f2
Sheet: Sheet1

Domestic care providers by county, 1998 - 2007 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10
(during the year)
 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007
Total | 688 | 730 | 747 | 732 | 737 | 709 | 697 | 682 | 667 | 697
Tallinn | 115 | 144 | 147 | 149 | 142 | 148 | 143 | 137 | 147 | 162
Harjumaa | 65 | 65 | 68 | 65 | 69 | 65 | 65 | 60 | 54 | 58
Hiiumaa | 17 | 13 | 8 | 8 | 13 | 11 | 14 | 14 | 13 | 11
Ida-Virumaa | 59 | 67 | 70 | 66 | 73 | 76 | 82 | 82 | 70 | 76
Jõgevamaa | 39 | 32 | 34 | 34 | 44 | 35 | 32 | 33 | 32 | 33
Järvamaa | 18 | 39 | 20 | 23 | 16 | 15 | 14 | 15 | 17 | 19
Läänemaa | 29 | 30 | 24 | 22 | 21 | 21 | 22 | 21 | 22 | 18
Lääne-Virumaa | 60 | 66 | 63 | 68 | 62 | 63 | 57 | 53 | 56 | 49
Põlvamaa | 34 | 30 | 30 | 23 | 26 | 24 | 21 | 24 | 22 | 29
Pärnumaa | 57 | 57 | 58 | 59 | 48 | 49 | 49 | 45 | 48 | 46
Raplamaa | 32 | 27 | 27 | 27 | 31 | 26 | 27 | 29 | 31 | 25
Saaremaa | 12 | 6 | 6 | 11 | 21 | 18 | 15 | 14 | 13 | 16
Tartumaa | 72 | 72 | 84 | 73 | 70 | 62 | 64 | 62 | 64 | 66
Valgamaa | 29 | 38 | 28 | 33 | 32 | 29 | 25 | 28 | 25 | 26
Viljandimaa | 39 | 32 | 56 | 53 | 46 | 43 | 41 | 44 | 40 | 43
Võrumaa | 11 | 12 | 24 | 18 | 23 | 24 | 26 | 21 | 13 | 20
Complied by: Social Policy Information and Analysis Department
Spreadsheet: 112337d1308497143-simplify-if-function-small-excel-question19-06
Sheet: ALL GOOD

 | Form | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8
 | 1 | 1
 | 1 | 1 | 1
 | 1 | 1 | 1 | 0
 | 0 | 1 | 1 | 0 | 1
 | 1 | 1 | 1 | 1 | 1 | 1
 | 1 | 1 | 1 | 1 | 1 | 1 | 1
 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 1
 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0
 |  |  |  | I want to  simplify the formula in column E, for small samples it is easy but I need to use it for a really large sample.
 |  |  |  | The formula is a if function
 |  |  |  | The formula: look first if the formula above the cell is a zero if this is not the case, look if the cell above that cell is a zero, if that is not the case look if the cell above that cell is a zero and so on. If it is a one you have the answer is the cell right of it.
Spreadsheet: 771132d1646435026-formula-which-should-return-empty-returns-0-new-microsoft-excel-worksheet
Sheet: Sheet A

Header | Header | Header | Header
Test Data1
Test Data2
Test Data3
Test Data4
Test Data5
Test Data6
Test Data7
Test Data8
Test Data9
Test Data10
Test Data11
Test Data12
Test Data13
Test Data14
Test Data15
Test Data16
Test [NAME]
Test Data18
Test Data19
Spreadsheet: 746940d1631119891-replace-n-a-with-prior-available-values-on-a-2d-running-array-with-one-spill-formula-2d-spilled-range-replace-na-with-last-value-for-each-row
Sheet: 2D Spilled Replace NA, ROW

Date | MGLU3 | M1RN34 | PETR4 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | M1RN34 | PETR4 |  |  | M1RN34 | PETR4
2020-10-08 00:00:00 | 22.9675 | #N/A | 20.44 |  |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |  |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |  |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |  |  |  |  |  |  | #N/A | 20.44 |  | #N/A | 20.44
2020-10-09 00:00:00 | 24.5375 | #N/A | 19.8 |  | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |  | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |  | 2 | 0 | 2 |  | 24.5375 | #N/A | 19.8 | 24.5375 | #N/A | 19.8
2020-10-13 00:00:00 | 26 | #N/A | 20.13 |  | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |  | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |  | 3 | 0 | 3 |  | 26 | #N/A | 20.13 | 26 | #N/A | 20.13
2020-10-14 00:00:00 | 25.59 | 43.07 | 19.97 |  | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |  | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |  | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |  | 4 | 4 | 4 |  | 25.59 | 43.07 | 19.97 | 25.59 | 43.07 | 19.97
2020-10-15 00:00:00 | 25.51 | #N/A | 19.75 |  | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 |  | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |  | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 |  | 5 | 4 | 5 |  | 25.51 | 43.07 | 19.75 | 25.51 | 43.07 | 19.75
2020-10-16 00:00:00 | 25.8 | 42.33 | 19.33 |  | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 |  | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 |  | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 |  | 6 | 6 | 6 |  | 25.8 | 42.33 | 19.33 | 25.8 | 42.33 | 19.33
2020-10-19 00:00:00 | #N/A | 39.78 | 19.52 |  | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 |  | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 |  | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 |  | 6 | 7 | 7 |  | 25.8 | 39.78 | 19.52 | 25.8 | 39.78 | 19.52
2020-10-20 00:00:00 | 26.04 | 40.43 | 20.18 |  | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 |  | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 |  | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 |  | 8 | 8 | 8 |  | 26.04 | 40.43 | 20.18 | 26.04 | 40.43 | 20.18
2020-10-21 00:00:00 | 26.22 | 39.2 | 20.16 |  | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 |  | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 0 |  | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 |  | 9 | 9 | 9 |  | 26.22 | 39.2 | 20.16 | 26.22 | 39.2 | 20.16
2020-10-22 00:00:00 | 26.1 | 39.82 | 20.84 |  | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 |  | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 |  | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |  | 10 | 10 | 10 |  | 26.1 | 39.82 | 20.84 | 26.1 | 39.82 | 20.84
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | ↑ Last row NOT N/A ↑ (1D "spilled" formula by column) |  |  |  | ↑ Replacing N/A ↑ with last value (when available)
Spreadsheet: 848764d1699395689-solved-cash-flow-chart-from-period-and-monthly-payment-adventurebob
Sheet: Sheet1

Payment Amount | 1000 |  | 2024-01-01 00:00:00
Start date | 2024-01-01 00:00:00
End Date | 2024-06-30 00:00:00
Spreadsheet: dan_hyvl__4904__CXY Energy Marketing - ECT
Sheet: AMASTPSA 

MASTER FIRM PURCHASE/SALE AGREEMENT INFORMATION SHEET
ECT Entity: | ECT | ATTORNEY: | [NAME]
DATE: | 1999-06-11 00:00:00 | ECT CONTACT: | [NAME]
COUNTERPARTY: | CXY Energy Marketing | CONTACT: | [NAME]
ADDRESS: | 635-8th Avenue, SW | TITLE:
 | Calgary, Alberta, Canada
 | T2P 3Z1 | PHONE: | [PHONE]
 |  | FAX: | [PHONE]
INCORPORATION STATE: | Alberta, Canada | S&P Rating | N/A
STRUCTURE | COUNTERPARTY | ECT ENTITY
COLLATERAL
THRESHOLD  in US$ | 10000000 | 10000000
COMMITTED VOLUMES
THRESHOLD in $[NAME] | N/A | N/A
COLLATERAL REQUIRED FOR:
ALL TRADES | N/A | N/A
OTHER
COLLATERAL TYPE
Letter of Credit | X | X
COLLATERAL  MULTIPLE | 250000 | 250000
GUARANTOR (RATING) |  | Enron Corp. (BBB+)
LIMIT in $[NAME] | N/A | $10MM
Incorporation State: |  | Oregon
MATERIAL ADVERSE CHANGE TRIGGERS  APPLY TO:
-Counterparty | X |  | Tied to Canadian Occidental Petroleum
-Guarantor |  | X
Debt Ratings Change | X | X
-Below = | BBB- | BBB-
Financial Covenants
-Funded Debt/Equity
-Minimum Net worth
-Cash Flow/CMLTD
-Current Ratio
Non-Specific
-Unilateral
Ownership Change
-Less than 50.8% owned by:
Other MAC triggers: | 1)  dissolution of CXY Energy Marketing parthership
 | 2)  Canadian Occidental Petroleum ceases to a general partner
EVENTS OF DEFAULT
3rd party debt | X | X
-Counterparty | US$30MM |  | Tied to Canadian Occidental Petroleum
-Guarantor ($[NAME]) |  | US$50MM
FIN'L STATEMENTS
-Standard | X | X | Upon request
CREDIT DECISION: | APPROVED:  X | DECLINED:
OUTSTANDING PHYSICAL TRADES: |  | YES:  X | NO:
ALL TRADES TO ROLL UP UNDER NEW MASTER: |  | YES:  X | NO:
OTHER COMMENTS:  This contract should be based on our standard ECTC contract format to allow for
delivery points in Canada only.  US delivery points should not be included within the guidance of this contract.
CREDIT REVIEW  PREPARED BY: |  | B. Reves | x-9897
Spreadsheet: 1d94f4dd-422a-4b85-a3e8-3fff00724145
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
RGLUR | Test | RGLUR | Glucose, Random, [NAME] | Glucose, Random, U | [NAME] | Plastic, urine tube: PlUrTb |  |  | 5 | mL | Container/Tube: Plastic, 6-mL tube (Supply T465) [NAME]: 5 mL Collection Instructions: 1. Collect a random urine specimen. 2. No preservative. | 1 mL | Hemolysis	NA Thawing	Warm reject; Cold OK Lipemia	NA Icterus	NA Other	NA | < or =15 mg/dL | Monday through Sunday; Continuously | 1 day | 1 day | 1 | 82945 |  |  |  |  | Rochester
RGLUR | [NAME] | URINE | [NAME] |  |  |  | Refrigerated | 7 days
RGLUR | Result | RGLUR | Glucose, Random, U | Glucose, Random, U | Numeric |  |  |  |  | mg/dL |  |  |  |  |  |  |  |  |  | 2350-7
Spreadsheet: 689708d1596609820-if-function-exceeding-8000-character-limit-need-help-on-shorter-formula-au-and-nz-vendor-margin-analysis-fy20-ytd-test
Sheet: YTD AU Sales

Australia Margin and Sales by Vendor - YTD
Vendor | Sales | Margin $ | Margin %
Palo Alto Networks
Netapp Aust
F5
Riverbed
Tenable
Hewlett Packard Enterprise
Sophos
Broadcom Solutions
Avaya
Channel Services
Cylance
ForeScout
Infoblox
Extreme Networks
CS Vendors
Arista
Pure Storage
AlgoSec
Ribbon
Symantec
MobileIron
Gigamon
FireEye
Check Point
[NAME]
Amazon Web Services
Nutanix
[NAME]
[NAME]
Trend Micro - Tipping Point
Mellanox
Cohesity
[NAME]
Centrify
Sonus
BitTitan
Microsoft
PlusOptic
Blue Coat Systems
Unify
Grand Total
Spreadsheet: 161072d1339403637-excel-2007-merge-2-rows-of-data-excel-mege-test
Sheet: Sheet1

 | Business Rank | CONTACT_NAME | COMPANY_NAME | PRIMARY_ADDRESS | PRIMARY_CITY | PRIMARY_STATE | PRIMARY_ZIP_CODE | PRIMARY_ZIP4 | PRIMARY_ZIP10 | PRIMARY_CARRIER_ROUTE_CODE | PRIMARY_STATE_CODE | COUNTY_CODE | PHONE | Verified Or Not | Available In Yellowpages? | Available In Yellowbook? | FAX_NUMBER | SELECTED_SIC_CODE | NAICS_CODE | LAST_NAME | FIRST_NAME | SALUTATION | GENDER | [NAME] | TITLE_CODE | [NAME] | TITLE_ADDRESS | INFOUSA ID | DELIVERY_POINT_BAR_CODE | PRESORT_ENDORSEMENT_LINE | PRESORT_BAG_NUMBER | PRESORT_BUNDLE_NUMBER | PRESORT LINE OF TRAVEL | PRODUCTION_DATE | OBSOLESCENCE DATE | PRODUCTION_DATE1 | SOURCE | END OF RECORD MARKER
 |  | [NAME] | [NAME] | 14335 [NAME] | Ballwin | MO | 63011 | 4048 | 63011-4048 | C062 | 29 | 189 | [PHONE] |  |  |  |  | 802101 | 62121003 | [NAME] | [NAME] | Ms | F |  | ? |  |  | 211936158 | 630114048355 |  |  |  |  | 20120516 | 2012-11-16 00:00:00 | 2012-05-16 00:00:00 | infoUSA | X
Yes | 2 |  |  |  |  |  |  |  |  |  |  |  | [PHONE] | No | No | No
Spreadsheet: 50a7d6da-0994-45ef-83a9-f5a0645520f7
Sheet: Definitions

[NAME] (Level 3 Project)
The project workbook allows project managers, team members, sponsors, and stakeholders to easily track and monitor project activities. Any of these worksheets can easily be broken out into separate documents.
Suggested Sheets for All Projects
Charter Lite | The Project Charter Lite sheet can be used as a charter for small projects or a summarization of a full charter for larger projects.
Directory | The Directory is used to capture contact information about each person participating in the project.
Communication Plan | The Communication Plan sheet allows you to detail your communication plan: how you are going to communicate, whom you will be communicating with, how often, in what format, etc.
Issues Plan | The Issues Plan sheet allows you to define how issues will be captured and tracked for the life of the project.
Change Plan | The [NAME] sheet allows you to define the process for changes to be captured, reviewed, impact determined and approved/disapproved.
Schedule | The schedule sheet contains a list of activities to be worked in order to fulfill the need expressed in the charter.  Included in this sheet are  [NAME], Planned Finish, Actual Start, Actual Finish dates and a Responsibility field to designate who is responsible for making sure the work is completed for that activity.
Risks | The Risk Management Matrix sheet allows you to identify, qualify, quantify, and prioritize risks (events that might happen; the uncertainty of a project), create mitigation and contingency plans, and assign risks owners.
Action Items | The Action Items sheet allows you to track and monitor action items assigned to team members. Action items are tasks that must be done but are too insignificant from a time perspective to track in your project schedule.
Issues | The Issues Log sheet allows you to identify and monitor project issues (unplanned events that have happened).
Decisions | The Decision Log sheet allows you to track all major decisions made during the course of the project.
Changes | The Changes Log sheet allows you to track the changes that have been approved for the project.
Parking Lot | The Parking Lot Log sheet allows you to track things to be discussed at a later date.
Report | The Report sheet contains the information for Project Status information.
Spreadsheet: 733646d1621679118-but-i-need-two-parameters-instead-of-one-als-fout-index-i-i-aggregaat-test2
Sheet: vlist (2)

project | Vertrek | Aankomst | begeleider | besteld | weg | wacht | uren | km | land | verkoop | Wacht2 | inkoop | [NAME] | Wacht3 |  | Verschil alles | prijs nl | prijs d | [NAME] <50 | km NL 50-100 | [NAME]500 | [NAME]50 | km d 50-100 | km d 100-500 | km d >500 | Wacht
5120 | darp | oldenzaal | hilco | 20:00:00 | 20:14:00 |  | 4 | 100 | nl |  |  |  |  |  |  |  | 42.5 | 1.15 | 150 | 2.8 | 1.8 | 300 | 4.5 | 1.65 | 1.3 | 45
5120 | darp | oldenzaal | kees | 20:00:00 | 20:00:00 |  | 3.5 | 85 | nl
5120 | oldenzaal | loheide | nl |  |  |  |  | 281 | d |  |  |  |  |  |  | [NAME] | als J=nl;I:I | als J=nl; K:K | als J=d;I:I | als J=d:K:K | wacht
5120 | oldenzal | loheide | nl |  |  |  |  | 279 | d |  |  |  |  |  |  | 5140
5135 | loheide | darp | nl |  |  |  |  | 283 | d |  |  |  |  |  |  | 5141
5135 | loheide | darp | nl |  |  |  |  | 276 | d |  |  |  |  |  |  | Totaal
5140 | darp | t Haarde | roland | 11:00:00 | 11:20:00 |  | 3.25 | 56 | nl
5141 | oirschot | zoutkamp | roland |  |  |  | 6.75 | 140 | nl
Spreadsheet: 773951d1648130542-how-to-select-a-cell-at-random-without-repeating-cells-switch-list-generator-vtest2
Sheet: Indexs

Car Frequency calculations
Leave Occupied Probability |  |  | 0.1
Frequency Basis |  |  | 100
 | Available Car Types | [NAME] |  | Railroad Roadnames |  |  | [NAME] points by State |  |  | Trains served by [NAME]
Leave the top cell BLANK!! |  |  |  |  |  |  | [NAME] | [NAME] |  | Train # | Start | End
 | Box car | XM |  | NH |  |  | CT | Cedar Hill |  | PDX-1 | Cedar Hill | Fort
 | Flat car | F |  | B&M |  |  | CT | Fort |  | PDX-2 | Fort | Cedar Hill
 | Hopper | H |  | MEC |  |  | CT | Hartford |  | HDX-7 | Hartford | Hartford
 | Gondola | G |  | CN |  |  | CT | Oak Point |  | HDX-12 | Cedar Hill | Cedar Hill
 | Reefer | R |  | CP |  |  | NY | Cedar Hill
 | Tank car | T |  | C&NW |  |  | NY | Hartford
 | Stock car | S |  | RI |  |  | PA | Oak Point
 | [NAME] | C |  | FEC |  |  | PA | Cedar Hill
 |  |  |  | PRR |  |  | Canada | Fort
 |  |  |  | NYC |  |  | MA | Fort
 |  |  |  | CNJ |  |  | MA | Hartford
 |  |  |  |  |  |  | RI | Fort
 |  |  |  |  |  |  | NH
 |  |  |  |  |  |  | VT
 |  |  |  |  |  |  | ME