tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: mary_fischer__25633__31P
Sheet: E21.XLS 

ENRON CORP AND CONSOLIDATED SUBSIDIARIES
COMPANY # 031P
COMPANY NAME    Limbach Holdings, Inc.
LEASE EXPENSE & FUTURE LEASE COMMITMENTS
FOR THE 3 MONTHS ENDED 3-31-2001
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | E-21
+++++INCLUDE all rentals (building, equipment, etc.) regardless of whether it is charged to "rent expense".
+++++EXCLUDE rent allocations from Corporate or other subsidiaries.
Lease Description |  |  |  | Year to Date |  |  |  |  |  | FUTURE LEASE COMMITMENT ( net of sublease , if applicable) |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Residual
Property Leased, Term, Lessor |  | *(C) |  | Gross |  | Less: |  | Net Rental |  | 1 Year Ended |  |  |  |  |  |  |  |  |  | 5 Years Ended |  |  |  |  |  | Total Remaining |  | Total |  | Value
*Indicate Capital (C) or Operating (O) Lease |  | or (O) |  | Rentals |  | Subrentals |  | Expense |  | 12-31-2002 |  | 12-31-2003 |  | 12-31-2004 |  | 12-31-2005 |  | 12-31-2006 |  | 12-31-2011 |  | 12-31-2016 |  | 12-31-2021 |  | after 12-31-2021 |  | Commitment |  | Guarantee
Individually list leases w/ an annual rent expense over $1 million.
 |  |  |  | 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 |  | 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 |  | 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 |  | 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 |  | 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 |  | 0 |  | 0 |  | 0 |  | 0 |  | 0 |  | 0 |  | 0 |  | 0
 |  |  |  | 0 |  | 0 |  |  |  | 0 |  | 0 |  | 0 |  | 0 |  | 0 |  | 0 |  | 0 |  | 0 |  | 0
Other Leases under $1million per year |  |  |  | 0 |  | 0 |  |  |  | 0 |  | 0 |  | 0 |  | 0 |  | 0 |  | 0 |  | 0 |  | 0 |  | 0
Total
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | E-21
Spreadsheet: 5b42257a-f94f-40e8-ba75-2b60789a28c0
Sheet: Sheet1

Years of Potential Life Lost (YPLL) before Age 65, by Cause of Death, 2000-2009, by Race and Hispanic Ethnicity | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10
White, non-Hispanic |  |  |  |  |  | Black, non-Hispanic
Rank |  | Cause | Average Annual YPLL | Percent of Total YPLL |  | Rank |  | Cause | Average Annual YPLL | Percent of Total YPLL
 |  | All Causes | 41656.7 |  |  |  |  | All Causes | 610.1
1 |  | Unintentional Injury | 9287.9 | 0.2229629327335 |  | 1 |  | Unintentional Injury | 142.2 | 0.23307654482871
2 |  | [NAME] | 8882.3 | 0.21322620370792 |  | 2 |  | Perinatal Period | 97.5 | 0.15980986723487
3 |  | Heart Disease | 5252.8 | 0.1260973624891 |  | 3 |  | Heart Disease | 69.5 | 0.11391575151614
4 |  | Suicide | 3185.2 | 0.07646308997112 |  | 4 |  | [NAME] | 45.5 | 0.07457793804294
5 |  | Perinatal Period | 2461.4 | 0.05908773378592 |  | 5 |  | Congenital Anomalies | 44.3 | 0.07261104736928
 |  | All Others | 12587.1 | 0.3021626773124401 |  |  |  | All Others | 211.1 | 0.34600885100806
Native American, non-Hispanic |  |  |  |  |  | Asian/Pacific Islander, non-Hispanic
Rank |  | Cause | Average Annual YPLL | Percent of Total YPLL |  | Rank |  | Cause | Average Annual YPLL | Percent of Total YPLL
 |  | All Causes | 443 |  |  |  |  | All Causes | 247.2
1 |  | Unintentional Injury | 110.6 | 0.24966139954853 |  | 1 |  | [NAME] | 56.6 | 0.22896440129449
2 |  | Heart Disease | 61.7 | 0.1392776523702 |  | 2 |  | Unintentional Injury | 54.5 | 0.22046925566343
3 |  | [NAME] | 61.1 | 0.13792325056433 |  | 3 |  | Congenital Anomalies | 32.5 | 0.13147249190938
4 |  | Suicide | 33.3 | 0.07516930022573 |  | 4 |  | Perinatal Period | 26 | 0.1051779935275
5 |  | Diabetes Mellitus | 21 | 0.04740406320541 |  | 5 |  | Heart Disease | 16.6 | 0.06715210355987
 |  | All Others | 155.3 | 0.3505643340858 |  |  |  | All Others | 61 | 0.2467637540453
Other, non-Hispanic |  |  |  |  |  | Hispanic
Rank |  | Cause |  | Percent of Total YPLL |  | Rank |  | Cause | Average Annual YPLL | Percent of Total YPLL
 |  | All Causes | 690.2 |  |  |  |  | All Causes | 272.2
1 |  | Unintentional Injury | 165.1 | 0.2392060272384816 |  | 1 |  | Unintentional Injury | 71.2 | 0.26157237325495
2 |  | [NAME] | 117.7 | 0.1705302810779484 |  | 2 |  | [NAME] | 27 | 0.09919177075679
3 |  | Heart Disease | 78.3 | 0.1134453781512605 |  | 3 |  | Suicide | 26.4 | 0.09698750918442
4 |  | Congenital Anomalies | 50 | 0.07244277021153289 |  | 4 |  | Perinatal Period | 19.5 | 0.07163850110213
5 |  | Suicide | 49.9 | 0.07229788467110983 |  | 5 |  | Congenital Anomalies | 17.9 | 0.06576047024246
 |  | All Others | 229.2 | 0.3320776586496667 |  |  |  | All Others | 110.2 | 0.40484937545925
Data accessed on WISQARS, US CDC. http://www.cdc.gov/injury/wisqars/years_potential.html .   Because numbers are not controlled for population size, YPLL can not be compared across different population groups; only the order of causes can be compared.
Spreadsheet: 533c4eec-7dad-4939-b00e-e6a75ebb31c4
Sheet: Sheet1

Council Member - NON (North Dakota) | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6
Downloaded at 5/21/2013 12:03:49 PM
Precincts Reporting: 505/505 - Total Ballots Cast: 102066
2010 Primary Election - OFFICIAL RESULTS
Precinct | [NAME]  [NAME] | [NAME] | [NAME] | [NAME] | write-in | TOTALS
Precinct 09 - Garrison C & R | 172 | 192 | 70 | 198 | 10 | 642
TOTAL | 172 | 192 | 70 | 198 | 10 | 642
Results provided by the Office of North Dakota Secretary of State
Spreadsheet: 107c436e-223a-4759-a05c-dcd38dd763fe
Sheet: Sheet1

Unnamed: 0 | School Name Here | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8
Group Name Rooming List - DeCew Residence | Room | First Name | Last Name | Gender (M or F) | [NAME] | Departure Date | Chaperone (enter "Y" if applicable) | Reg Card Special Notes
 | Organizer Comments:
 | Instructions:  every 2 bedrooms share a washroom unless a "private bathroom" is indicated.  The grouped shading (both yellow & white) indicates which guests will be sharing.  Fill one hallway then move on to the next. Private and accessible rooms are noted.
 | Short Hallway 1
 | X01 Private
 | X02
 | [NAME]
 | X03
 | X05
 | X06
 | X08
 | X07
 | X09
5th Floor- Stairwell 2/3 | X10
 | X12
 | X11
 | X13
 | X14
 | X16
 | X15
 | X17
 | X18
 | X20
 | X19
 | X21
 | Long Hallway 1
3rd Floor- [NAME] 4/5 | X30 - Use room last
 | X32
 | X33
 | X35
 | X34
 | X36
 | X37
 | X39
 | X38
 | X40
 | X41
 | X43
 | X42
4th Floor- [NAME] 4/5 | X44
 | X45
 | X47
 | X46
 | X48
 | X49
 | X51
 | X50
 | X52
 | X53
 | X55
 | X54
 | [NAME]
 | X56
 | X58
5th Floor- [NAME] 4/5 | X57
 | X59
 | X60
 | X62
 | X61
 | X63
 | X65
3rd Floor- Stairwell 6/7 | X67
 | X66
 | X68
 | X69
 | X71
 | X70
 | X72
 | Short Hallway 2
 | X01 Private
 | X02
 | [NAME]
 | X03
 | X05
 | X06
 | X08
 | X07
 | X09
 | X10
 | X12
 | X11
 | X13
 | X14
 | X16
 | X15
 | X17
 | X18
 | X20
 | X19
 | X21
 | Long Hallway 2
 | X30 - Use room last
 | X32
 | X33
 | X35
 | X34
 | X36
 | X37
 | X39
 | X38
 | X40
 | X41
 | X43
 | X42
 | X44
 | X45
 | X47
 | X46
 | X48
 | X49
 | X51
 | X50
 | X52
 | X53
 | X55
 | X54
 | [NAME]
 | X56
 | X58
 | X57
 | X59
 | X60
 | X62
 | X61
 | X63
 | X65
 | X67
 | X66
 | X68
 | X69
 | X71
 | X70
 | X72
Spreadsheet: 0009a7ad-27c4-41af-82c3-867029b267b6
Sheet: Sheet1

Table 1--U.S. cotton supply and use estimates | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7
 |  |  | 2012/13
Item | 2011/12 |  | Nov. |  | Dec. |  | Jan.
 | Million acres
Upland:
Planted | 14.428 |  | 12.121 |  | 12.121 |  | 12.077
Harvested | 9.156 |  | 10.206 |  | 10.206 |  | 9.19
 | Pounds
Yield/harvested acre | 772 |  | 790 |  | 781 |  | 849
 | Million 480-lb. [NAME]
Beginning stocks | 2.572 |  | 3.081 |  | 3.081 |  | 3.081
Production | 14.722 |  | 16.79 |  | 16.6 |  | 16.25
Total supply   1/ | 17.307 |  | 19.876 |  | 19.686 |  | 19.336
[NAME] use | 3.278 |  | 3.375 |  | 3.375 |  | 3.38
Exports | 11.12 |  | 10.875 |  | 11.075 |  | 11.475
Total use | 14.398 |  | 14.25 |  | 14.45 |  | 14.855
Ending stocks  2/ | 3.081 |  | 5.624 |  | 5.224 |  | 4.516
 | Percent
Stocks-to-use ratio | 21.4 |  | 39.5 |  | 36.2 |  | 30.4
 | 1,000 acres
Extra-long staple:
Planted | 307.4 |  | 239 |  | 239 |  | 238.4
Harvested | 304.9 |  | 237.4 |  | 237.4 |  | 236.8
 | Pounds
Yield/harvested acre | 1340 |  | 1328 |  | 1.328 |  | 1540
 | 1,000 480-lb. [NAME]
Beginning stocks | 28 |  | 269 |  | 269 |  | 269
Production | 851 |  | 657 |  | 657 |  | 760
Total supply   1/ | 885 |  | 926 |  | 926 |  | 1029
[NAME] use | 22 |  | 25 |  | 25 |  | 20
Exports | 594 |  | 725 |  | 725 |  | 725
Total use | 616 |  | 750 |  | 750 |  | 745
Ending stocks  2/ | 269 |  | 176 |  | 176 |  | 284
 | Percent
Stocks-to-use ratio | 43.7 |  | 23.5 |  | 23.5 |  | 38.1
1/ Includes imports.  2/ Includes unaccounted.
Last update:  01/14/13.
Sources: USDA, World Agricultural Outlook Board; and USDC,
U.S. Census Bureau.
Spreadsheet: 57522d1257751242-sorting-values-book1
Sheet: Sheet3

Count of Data | Column Labels
Row Labels | A | B | C | (blank) | Grand Total
0 | 1 |  |  |  | 1
1 | 2 |  |  |  | 2
2 | 5 |  |  |  | 5
3 | 3 |  |  |  | 3
4 | 3 |  |  |  | 3
6 | 1 |  |  |  | 1
7 | 5 |  |  |  | 5
8 | 3 |  |  |  | 3
9 | 2 |  |  |  | 2
10 | 2 |  |  |  | 2
11 | 3 |  |  |  | 3
12 | 5 |  |  |  | 5
13 | 2 |  |  |  | 2
14 | 4 |  |  |  | 4
15 | 5 |  |  |  | 5
16 | 4 |  |  |  | 4
17 | 3 |  |  |  | 3
18 | 3 |  |  |  | 3
19 | 4 |  |  |  | 4
20 | 3 |  |  |  | 3
21 |  | 4 |  |  | 4
22 |  | 3 |  |  | 3
23 |  | 6 |  |  | 6
24 |  | 2 |  |  | 2
25 |  | 3 |  |  | 3
26 |  | 2 |  |  | 2
27 |  | 3 |  |  | 3
28 |  | 3 |  |  | 3
29 |  | 3 |  |  | 3
30 |  | 4 |  |  | 4
31 |  | 3 |  |  | 3
32 |  | 5 |  |  | 5
33 |  | 3 |  |  | 3
34 |  | 6 |  |  | 6
35 |  | 6 |  |  | 6
36 |  | 6 |  |  | 6
37 |  | 5 |  |  | 5
38 |  | 2 |  |  | 2
39 |  | 4 |  |  | 4
40 |  | 3 |  |  | 3
41 |  | 1 |  |  | 1
42 |  | 3 |  |  | 3
43 |  | 4 |  |  | 4
44 |  | 3 |  |  | 3
45 |  | 4 |  |  | 4
46 |  | 5 |  |  | 5
47 |  | 4 |  |  | 4
49 |  | 5 |  |  | 5
51 |  | 6 |  |  | 6
52 |  | 1 |  |  | 1
53 |  | 3 |  |  | 3
54 |  | 3 |  |  | 3
55 |  | 2 |  |  | 2
56 |  | 1 |  |  | 1
57 |  | 2 |  |  | 2
58 |  | 6 |  |  | 6
59 |  | 3 |  |  | 3
60 |  |  | 2 |  | 2
61 |  |  | 7 |  | 7
63 |  |  | 2 |  | 2
64 |  |  | 2 |  | 2
65 |  |  | 4 |  | 4
66 |  |  | 4 |  | 4
67 |  |  | 4 |  | 4
68 |  |  | 1 |  | 1
69 |  |  | 2 |  | 2
70 |  |  | 2 |  | 2
71 |  |  | 3 |  | 3
72 |  |  | 5 |  | 5
73 |  |  | 3 |  | 3
75 |  |  | 2 |  | 2
76 |  |  | 1 |  | 1
77 |  |  | 4 |  | 4
78 |  |  | 3 |  | 3
79 |  |  | 3 |  | 3
80 |  |  | 1 |  | 1
81 |  |  | 7 |  | 7
82 |  |  | 2 |  | 2
83 |  |  | 1 |  | 1
84 |  |  | 3 |  | 3
85 |  |  | 4 |  | 4
86 |  |  | 1 |  | 1
87 |  |  | 4 |  | 4
88 |  |  | 2 |  | 2
89 |  |  | 2 |  | 2
90 |  |  | 2 |  | 2
91 |  |  | 1 |  | 1
92 |  |  | 4 |  | 4
93 |  |  | 1 |  | 1
94 |  |  | 3 |  | 3
95 |  |  | 4 |  | 4
96 |  |  | 3 |  | 3
97 |  |  | 6 |  | 6
98 |  |  | 2 |  | 2
99 |  |  | 3 |  | 3
100 |  |  | 3 |  | 3
(blank)
Grand Total | 63 | 132 | 113 |  | 308
Spreadsheet: 740437d1626342838-using-rand-function-to-select-50-rows-test-workbook
Sheet: Sheet1

TicketID | Importance | Date Created | Description | Summary | Assignee | Status | Test field 1 | Test field 2 | Test Field 4 | Test Field 5
TIC12345678 | 1-high | 2021-07-04 00:00:00 | [NAME] 123 | brief summary of ticket | [NAME] | Complete | 1safd23 | thfbvn | ghf | erds
TIC12345679 | 2-medium | 2021-07-15 00:00:00 | [NAME] 124 | brief summary of ticket | [NAME] | In Progress | 1dsasffw | hbngfhdf | gc | dfg
TIC12345680 | 3-low | 2021-07-06 00:00:00 | [NAME] 125 | brief summary of ticket | [NAME] | Complete | 43fsfdfws | wefdf | b | dfg
TIC12345681 | 3-low | 2021-07-04 00:00:00 | [NAME] 126 | brief summary of ticket | [NAME] | In Progress | 3242sdfsdf | fwef | cb | dfg
TIC12345682 | 3-low | 2021-07-13 00:00:00 | [NAME] 127 | brief summary of ticket | [NAME] | Complete | 3r2wdfs | sdfwe | dfg | dg
TIC12345683 | 3-low | 2021-07-12 00:00:00 | [NAME] 128 | brief summary of ticket | [NAME] | Complete | 4rscsf | sfsfsfrwe | dfg | bf
Spreadsheet: 268237d1380523969-max-dynamic-range-help-please-maxdynamic
Sheet: Sheet1

Example 1
Issue1 | 2013-10-30 00:00:00 |  | The range stops at B9 because B10 is blank and ColumnA does not include a cell that begins with "Issue" between A5:A9
Notes | 2013-10-01 00:00:00
Notes | 2013-10-30 00:00:00
Notes | 2013-10-28 00:00:00
Notes | 2013-10-15 00:00:00
Notes | 2013-10-15 00:00:00
Example 2
Issue1 | 2013-10-30 00:00:00 |  | The range stops at B17 because B10 is blank and ColumnA does not include a cell that begins with "Issue" between A14:A17
Notes | 2013-10-01 00:00:00
Notes | 2013-10-30 00:00:00
Notes | 2013-10-28 00:00:00
Notes | 2013-10-15 00:00:00
Notes
Issue2 | 2013-11-12 00:00:00
Notes | 2013-11-01 00:00:00
Notes | 2013-11-12 00:00:00
Example 3
Issue1 | 2013-10-30 00:00:00 |  | The range stops at B30 because A31 begins with "Issue" and there is no blank between B26:30
Notes | 2013-10-01 00:00:00
Notes | 2013-10-30 00:00:00
Notes | 2013-10-28 00:00:00
Notes | 2013-10-15 00:00:00
Notes | 2013-10-15 00:00:00
Issue2 | 2013-11-12 00:00:00
Notes | 2013-11-01 00:00:00
Notes | 2013-11-12 00:00:00
Spreadsheet: 763092d1641988682-how-to-merge-multiple-columns-into-one-with-alternating-values-help-forum
Sheet: Sheet1

 |  | Group-1 | Group-2 | Group-3 | Group-4 | Group-5 |  | My requrement
 |  | 1 | A | X |  |  |  | 1
 |  | 2 | B | Y |  |  |  | A
 |  | 3 | C | Z |  |  |  | 2
 |  | 4 |  |  |  |  |  | B
 |  | 5 |  |  |  |  |  | 3
 |  | 6 |  |  |  |  |  | C
 |  |  |  |  |  |  |  | 4
 |  |  |  |  |  |  |  | X
 |  |  |  |  |  |  |  | 5
 |  |  |  |  |  |  |  | Y
 |  |  |  |  |  |  |  | 6
 |  |  |  |  |  |  |  | Z
Spreadsheet: 75301d1275895499-counts-of-numbers-or-letters-in-columns-counting-example
Sheet: Sheet1

game no
25
22
19
1
2
9
26
27
3
3
13
13
2
6
6
12
17
22
9
23
27
2
17
10
20
22
23
9
25
7
16
17
26
28
26
19
2
17
15
16
26
27
23
21
15
17
19
12
5
12
14
4
16
12
17
14
25
11
24
5
3
13
26
6
29
1
2
9
20
22
24
26
27
27
25
25
25
12
10
20
24
25
5
4
9
22
5
17
21
8
12
24
22
9
5
5
10
4
20
3
4
20
26
6
26
19
1
8
9
12
27
8
13
16
19
29
2
13
23
2
7
10
25
5
8
7
10
20
15
25
29
9
10
5
1
3
4
12
12
18
2
15
4
12
25
10
16
2
26
23
29
26
11
5
17
17
23
1
28
16
22
18
4
14
8
25
14
12
25
9
9
4
17
14
4
26
17
17
13
19
2
20
22
3
12
22
4
20
15
7
18
5
12
5
6
25
4
5
29
3
18
24
16
23
26
7
13
14
19
19
20
29
12
3
23
4
21
27
19
12
19
21
28
18
28
18
21
7
18
29
18
18
21
24
29
8
18
14
29
2
20
27
10
6
29
22
23
29
25
2
5
10
25
2
7
4
18
23
1
1
2
6
7
9
13
13
14
25
1
26
14
13
14
5
1
24
6
Spreadsheet: 806704d1669499674-split-strings-into-unique-words-and-count-how-many-time-they-appear-sample
Sheet: Sheet1

Searches | Unique words | Number of times they appear
Buy new convertible | Buy | 2
Buy used car | New | 1
Sell your car | Convertible | 1
Get a used car | Used | 2
 | Car | 3
 | Sell | 1
 | Your | 1
 | Get | 1
 | a | 1
Spreadsheet: 31607290-f891-474a-9687-da7530d8e8ca
Sheet: Sheet1

Fee Estimate Calculator | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6
calculations do not exceed three parcels or thirty-five units
 | First Parcel Owned | Second Parcel Owned | Third Parcel Owned |  | Self-Certification Total | City-Inspection Total
Single-Family Dwellings | (enter 1 or leave blank) | (enter 1 or leave blank) | (enter 1 or leave blank)
 |  |  |  | x $20 inspection fee | 0 | 0
Multi-Family Dwellings | (enter number of units) | (enter number of units) | (enter number of units)
 |  |  |  | x $20 inspection fee | 0 | 0
 | Enter Total Number of Parcels Owned: |  |  | x $45 annual fee | 0 | 0
 |  |  | ESTIMATED TOTALS: |  | 0 | 0
This simplified calculator is for estimation purposes only and is not to be considered confirmation of actual amounts due.
Please contact City staff for true amounts due on account.
 | 0 | 0 | 0 | 0
Spreadsheet: 884609d1733840235-report-number-of-instances-in-another-sheet-based-on-variable-conditions-tool-order-tracking-development
Sheet: User18

Main | Tool Type | Description | Price | Received | Tool Type | Description | Price | Received | Tool Type | Description | Price | Received | Tool Type | Description | Price | Received | Tool Type | Description | Price | Received | Tool Type | Description | Price | Received | Tool Type | Description | Price | Received
Order Date | 2024-11-24 00:00:00
 | Bag | Technics Polyester Pouch 300mm x 130mm x 195mm | 24.58 | N
Total
Spreadsheet: phillip_m_love__30041__NCAA Tournament 2002
Sheet: Control

 |  |  | NCAA Tournament Pool
Pot is 70/20/10 | 1st Place |  | 2nd Place |  | 3rd Place
Name | Paid (Y/N) | 1st Round | 2nd Round | 3rd Round | 4th Round | 5th Round | 6th Round | Total
[NAME] | Y | 22 | 16
[NAME] | Y | 22 | 12
[NAME] | Y | 23 | 20
[NAME] | Y | 23 | 20
[NAME] | Y | 22 | 20
[NAME] | Y | 25 | 20
[NAME] | Y | 22 | 18
[NAME] | Y | 20 | 18
[NAME] | Y | 21 | 18
Darron Giron - A | Y | 20 | 20
Darron Giron - B | Y | 25 | 20
[NAME] | Y | 20 | 20
[NAME] | Y | 20 | 18
[NAME] | Y | 25 | 14
[NAME] | Y | 24 | 16
[NAME] | Y | 25 | 20
[NAME] | Y | 22 | 20
[NAME] | Y | 19 | 14
[NAME] | Y | 23 | 22
[NAME] | Y | 22 | 16
[NAME] | Y | 21 | 20
[NAME] | Y | 22 | 16
Kansas O'Rourke | Y | 23 | 24
[NAME] | Y | 23 | 22
[NAME] | Y | 21 | 20
[NAME] | Y | 19 | 24
Bruce Mills A | Y | 22 | 18
Bruce Mills B | Y | 19 | 16
[NAME] | Y | 26 | 18
Brad Jones B | Y | 24 | 16
[NAME] | Y | 23 | 20
[NAME] | Y | 24 | 16
[NAME] | Y | 24 | 16
[NAME] | Y | 22 | 16
[NAME] | Y | 24 | 24
[NAME] | Y | 22 | 16
[NAME] | Y | 19 | 16
[NAME] | Y | 23 | 20
[NAME] | Y | 21 | 16
Stephanie Hopkins | Y | 23 | 18
[NAME] | Y | 22 | 20
[NAME] | Y | 25 | 22
[NAME] | Y | 19 | 18
[NAME] | Y | 23 | 14
[NAME] [NAME] | Y | 18 | 16
[NAME] 1 | Y | 22 | 14
[NAME] 2 | Y | 23 | 14
[NAME] | Y | 26 | 18
[NAME] | Y | 21 | 18
[NAME] | N | 22 | 14
[NAME] | Y | 20 | 20
[NAME] | Y | 23 | 20
[NAME] | Y | 23 | 20
[NAME] (TD) | Y | 22 | 18
[NAME]) | Y | 22 | 20
[NAME] | Y | 22 | 18
[NAME] | Y | 22 | 16
Luchas Johnson B | Y | 18 | 16
[NAME] | Y | 21 | 16
[NAME] A | Y | 18 | 14
[NAME] B | Y | 18 | 16
[NAME] | Y | 18 | 14
[NAME] | Y | 24 | 20
[NAME]Dutch) | Y | 26 | 18
Denver Plachy ([NAME]) | Y | 22 | 18
[NAME] ([NAME]) | Y | 21 | 18
[NAME] ([NAME]) | Y | 22 | 14
[NAME] ([NAME]) | Y | 20 | 16
[NAME] | Y | 23 | 14
[NAME] | Y | 21 | 12
[NAME] | Y | 22 | 16
Errol I | Y | 21 | 20
Errol II | Y | 26 | 22
Nick Hiemstra | Y | 22 | 12
Spreadsheet: d0c950dd-06ed-421d-b9d4-2d0ce034ae49
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4
 | BANCO ESPÍRITO SANTO, S.A.
 | CONSOLIDATED INCOME STATEMENT AT 30 JUNE 2008
 |  |  | Jun. 07 | [NAME] 08
 |  |  | (EUR '000) | (EUR '000)
 |  | Interest and similar income | 1540645 | 2228742
 |  | Interest expense | 1081312 | 1717684
 |  | Net interest income | 459333 | 511058
 |  | Dividends | 43366 | 70623
 |  | Fee and commission income | 344597 | 344024
 |  | Fee and commission expenses | 49754 | 57964
 |  | Net gains in financial assets at fair value | 47380 | -135681
 |  | Net gains in financial assets available for sale | 142203 | 250145
 |  | Net gains from foreign exchange revaluation | 45507 | 42608
 |  | Net gains from sale of other assets | 557 | -654
 |  | Other income from banking activity | 13534 | 3937
 |  | Banking Income | 1046723 | 1028096
 |  | Staff costs | 235140 | 257870
 |  | Other administrative expenses | 181366 | 205350
 |  | Depreciation and amortisation | 33282 | 36620
 |  | Provisions net of reversals | 47516 | 31571
 |  | Loans impairment net of reversals | 90038 | 121779
 |  | Other financial assets' impairment net of reversals | 739 | 20258
 |  | Other assets' impairment net of reversals | 3833 | 7316
 |  | Negative consolidation differences | 0 | 0
 |  | Equity accounted earnings | 20283 | 7841
 |  | Income before tax | 475092 | 355173
 |  | Income tax
 |  | Current tax | 95676 | 102532
 |  | Deferred tax | 4471 | -25401
 |  | Income after tax and before minority interests | 374945 | 278042
 |  | o.w. after tax income from discontinued operations | 0 | -638
 |  | Minority interests | 8140 | 13899
 |  | Consolidated Net income | 366805 | 264143
Spreadsheet: 751494d1634139693-conditional-formatting-with-formulas-excel-test-rem-coleur
Sheet: BD

 | Product | Type |  | I HAVE HERE A CONDITIONNAL FORMATTING :  IF THE TYPE CONTAINS "X" THEN THE PRODUCT GET FILLED WITH YELOLOW  IT WORKED FOR ME ONLY IF THE CASE = "X"  IF IT CONTAINS "XY" I WANT IT WORKING TOO PLEASE AS YOU SEE IT DID NOT WORK WITH "XY" and "YYX"
 | A | XY
 | B | X
 | C | Y
 | D | X
 | E | Y
 | F | Y
 |  | X
 |  | YYX
 |  | X
 |  | X
 |  | X
Spreadsheet: 163236d1340232569-how-to-search-multiple-col-row-table-wit-multiple-criteria-to-return-lowest-value-excell-forum-example-modified-by-tigeravatar-
Sheet: Before

Using the information in Columns B,and E, I need to return the lowest price and corresponding  trilogy # from the table J7:O26 to the appropriate columns in table B7:G17
[NAME] in this col | List No | Item | Trilogy # | Size | finish | cost |  |  | List No | Item | Trilogy # | Size | finish | cost
 | 09-001-1 | [NAME] |  | 0.5 | Blk |  |  |  | 09-001-1-03-1-0007 | [NAME] | A300CF | 0.7 | Blk | 0.24
 | 09-001-1 | [NAME] |  | 0.7 | Blk |  |  |  | 09-001-1-03-1-0010 | [NAME] | A300CG | 1 | Blk | 0.24
 | 09-001-1 | [NAME] |  | 1 | Blk |  |  |  | 09-001-1-03-1-0013 | [NAME] | A300CH | 1.2 | Blk | 0.25
 | 09-001-1 | [NAME] |  | 1.2 | Blk |  |  |  | 09-001-1-03-1-0015 | [NAME] | A300CJ | 1.5 | Blk | 0.25
 | 09-001-1 | [NAME] |  | 1.5 | Blk |  |  |  | 09-001-1-03-1-0020 | [NAME] | A300CK | 2 | Blk | 0.25
 | 09-001-1 | [NAME] |  | 2 | Blk |  |  |  | 09-001-1-03-1-0025 | [NAME] | A300CL | 2.5 | Blk | 0.62
 | 09-001-1 | [NAME] |  | 2.5 | Blk |  |  |  | 09-001-1-03-1-0030 | [NAME] | A300CM | 3 | Blk | 0.67
 | 09-001-1 | [NAME] |  | 3 | Blk |  |  |  | 09-001-1-03-1-0040 | [NAME] | A300CP | 4 | Blk | 0.88
 | 09-001-1 | [NAME] |  | 4 | Blk |  |  |  | 09-001-1-03-1-0060 | [NAME] | A300DU | 6 | Blk | 1.86
 | 09-001-1 | [NAME] |  | 6 | Blk |  |  |  | 09-001-1-03-1-0080 | [NAME] | A300DX | 8 | Blk | 2.13
 | 09-001-1 | [NAME] |  | 8 | Blk |  |  |  | 09-001-1-03-1-0005 | [NAME] | AFC300D | 0.5 | Blk | 0.95
 |  |  |  |  |  |  |  |  | 09-001-1-04-1-0010 | [NAME] 200 | N200PGG | 1 | Blk | 0.23
 |  |  |  |  |  |  |  |  | 09-001-1-04-1-0013 | [NAME] 200 | N200PGH | 1.2 | Blk | 0.23
 |  |  |  |  |  |  |  |  | 09-001-1-04-1-0015 | [NAME] 200 | N200PGJ | 1.5 | Blk | 0.23
 |  |  |  |  |  |  |  |  | 09-001-1-04-1-0020 | [NAME] 200 | N200PGK | 2 | Blk | 0.22
 |  |  |  |  |  |  |  |  | 09-001-1-04-1-0025 | [NAME] 200 | N200PGL | 2.5 | Blk | 0.56
 |  |  |  |  |  |  |  |  | 09-001-1-04-1-0030 | [NAME] 200 | N200PGM | 3 | Blk | 0.62
 |  |  |  |  |  |  |  |  | 09-001-1-04-1-0040 | [NAME] 200 | N200PGP | 4 | Blk | 0.8
 |  |  |  |  |  |  |  |  | 09-001-1-04-1-0060 | [NAME] 200 | N200PGU | 6 | Blk | 1.74
 |  |  |  |  |  |  |  |  | 09-001-1-04-1-0080 | [NAME] 200 | N200PGX | 8 | Blk | 2
Spreadsheet: 122757d1317133860-winning-streaks-or-loosing-streaks-in-multi-team-football-schedule-2011-week-progress
Sheet: Sheet3

Team | Best | Current | Worst
KC | 0.85 | 0 | 0
OU | 1 | 1 | 0.25
SWOSU | 0.9375 | 0.75 | 0.2727272727272727
UCM | 0.9375 | 0.75 | 0.2727272727272727
NEO | 0.8333333333333334 | 0.5 | 0.2222222222222222
Overall | 0.9090909090909091 | 0.6111111111111112 | 0.1864406779661017