tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 05d46c1a-fbb8-4839-9a41-6cd87c91abf9
Sheet: Sheet1

Schools by Grade & Type, Fall 2006 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11 | Unnamed: 12
 | REGULAR EDUCATION |  |  |  |  | SPECIAL PURPOSE |  |  |  |  |  | GRAND
 | Elementary | Middle | High | K-12 | Subtotal | Alternative | Special Ed | Vocational | YIC | Virtual | Subtotal | TOTAL
Alpine | 46 | 10 | 7 |  | 63 | 2 | 3 |  | 1 | 1 | 7 | 70
Beaver | 3 | 1 | 2 |  | 6 |  |  |  |  |  | 0 | 6
[NAME] | 17 | 4 | 4 |  | 25 | 1 | 1 |  | 2 |  | 4 | 29
Cache | 13 | 6 | 2 |  | 21 | 2 | 1 |  | 1 |  | 4 | 25
Carbon | 5 | 2 | 1 |  | 8 | 1 | 1 |  | 1 |  | 3 | 11
Daggett | 2 | 0 | 1 |  | 3 |  |  |  |  |  | 0 | 3
[NAME] | 54 | 14 | 7 |  | 75 | 9 | 6 | 2 | 4 | 1 | 22 | 97
Duchesne | 7 | 1 | 4 |  | 12 | 1 | 2 |  |  |  | 3 | 15
Emery | 6 | 2 | 2 |  | 10 |  |  |  |  |  | 0 | 10
[NAME] | 5 | 1 | 3 |  | 9 |  |  |  |  |  | 0 | 9
Grand | 2 | 1 | 1 |  | 4 | 1 |  |  |  |  | 1 | 5
Granite | 62 | 16 | 9 |  | 87 | 8 | 10 | 1 | 13 |  | 32 | 119
Iron | 9 | 2 | 3 |  | 14 | 1 |  |  | 2 |  | 3 | 17
Jordan | 57 | 17 | 8 |  | 82 | 1 | 6 | 2 | 7 |  | 16 | 98
[NAME] | 3 | 1 | 1 |  | 5 |  |  |  |  |  | 0 | 5
[NAME] | 4 | 1 | 4 |  | 9 |  |  |  |  |  | 0 | 9
Logan | 6 | 1 | 1 |  | 8 | 2 |  |  | 2 |  | 4 | 12
Millard | 4 | 3 | 3 |  | 10 |  |  | 1 |  |  | 1 | 11
Morgan | 1 | 1 | 1 |  | 3 |  |  |  |  |  | 0 | 3
[NAME] | 7 | 2 | 1 |  | 10 |  | 1 |  |  |  | 1 | 11
Nebo | 24 | 7 | 3 |  | 34 | 2 | 1 | 1 | 4 |  | 8 | 42
[NAME] | 5 | 1 | 1 |  | 7 |  |  |  | 1 |  | 1 | 8
North Summit | 1 | 1 | 1 |  | 3 |  |  |  |  |  | 0 | 3
Ogden | 16 | 4 | 2 |  | 22 | 1 | 1 |  | 10 | 1 | 13 | 35
Park City | 4 | 2 | 1 |  | 7 | 1 |  |  |  |  | 1 | 8
Piute | 2 | 0 | 1 |  | 3 |  |  |  | 1 |  | 1 | 4
Provo | 13 | 2 | 2 |  | 17 | 2 | 2 |  | 4 |  | 8 | 25
Rich | 2 | 1 | 1 |  | 4 |  |  |  |  |  | 0 | 4
[NAME] | 30 | 5 | 3 |  | 38 | 1 | 4 | 1 | 1 |  | 7 | 45
San Juan | 6 | 1 | 5 |  | 12 |  |  |  | 2 |  | 2 | 14
Sevier | 5 | 3 | 3 |  | 11 | 1 |  |  | 1 |  | 2 | 13
South Sanpete | 3 | 2 | 2 |  | 7 | 1 |  |  | 3 |  | 4 | 11
South Summit | 1 | 1 | 1 |  | 3 |  |  |  |  |  | 0 | 3
Tintic | 3 | 1 | 2 |  | 6 |  |  |  |  |  | 0 | 6
Tooele | 15 | 2 | 4 |  | 21 | 3 |  |  |  |  | 3 | 24
Uintah | 7 | 3 | 1 |  | 11 |  |  |  | 1 |  | 1 | 12
Wasatch | 4 | 2 | 1 |  | 7 | 1 |  |  |  |  | 1 | 8
Washington | 24 | 8 | 5 |  | 37 | 2 | 1 |  | 5 |  | 8 | 45
Wayne | 2 | 1 | 1 |  | 4 |  |  |  |  |  | 0 | 4
Weber | 27 | 9 | 4 |  | 40 | 2 | 4 |  | 2 | 1 | 9 | 49
DISTRICT TOTAL | 507 | 142 | 109 | 0 | 758 | 46 | 44 | 8 | 68 | 4 | 170 | 928
USDB | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 7 | 7
CHARTER SCHOOLS* | 31 | 2 | 14 | 1 | 48 | 3 | 1 | 0 | 0 | 0 | 4 | 52
GRAND TOTAL | 538 | 144 | 123 | 1 | 806 | 49 | 52 | 8 | 68 | 4 | 181 | 987
* Includes Edith Bowen Lab School (at Utah State University), which will become a charter school in Fall 2007.
Spreadsheet: 867269d1714118621-complex-transpose-problem-transpose-wip-aligw
Sheet: Sheet1

Item | 1 | 2 | 3 | 4 | 5 |  |  |  |  |  | 1 | 10
aaa | 10 | 9 | 8 |  |  |  |  |  |  | aaa | 2 | 9
bbb | 15 |  |  |  |  |  |  |  |  | aaa | 3 | 8
[NAME] | 20 | 18 | 16 | 15 | 14 |  |  |  |  | bbb | 1 | 15
ddd | 10 | 8 | 6 | 5 | 4 |  |  |  |  | [NAME] | 1 | 20
eee | 30 | 25 | 22 |  |  |  |  |  |  | [NAME] | 2 | 18
 |  |  |  |  |  |  |  |  |  | [NAME] | 3 | 16
 |  |  |  |  |  |  |  |  |  | [NAME] | 4 | 15
 |  |  |  |  |  |  |  |  |  | [NAME] | 5 | 14
 |  |  |  |  |  |  |  |  |  | ddd | 1 | 10
 |  |  |  |  |  |  |  |  |  | ddd | 2 | 8
 |  |  |  |  |  |  |  |  |  | ddd | 3 | 6
 |  |  |  |  |  |  |  |  |  | ddd | 4 | 5
 |  |  |  |  |  |  |  |  |  | ddd | 5 | 4
 |  |  |  |  |  |  |  |  |  | eee | 1 | 30
 |  |  |  |  |  |  |  |  |  | eee | 2 | 25
 |  |  |  |  |  |  |  |  |  | eee | 3 | 22
Spreadsheet: 675462d1588310733-sum-if-calculation-book1
Sheet: Sheet1

 | Total | 4/1/2020 | 5/1/2020 | 6/1/2020 | 7/1/2020 | 8/1/2020 | 9/1/2020 | 10/1/2020 | 11/1/2020 | 12/1/2020 | 1/1/2021 | 2/1/2021 | 3/1/2021
Row 0 | 1167.66 | 107.84 | 104.31 | 110.93 | 92.03 | 87.38 | 77.92 | 77.26 | 82.87 | 86.72 | 96.98 | 115.09 | 128.33
Row 00 | 64.31 | 5.71 | 5.73 | 6.4 | 5.23 | 4.93 | 4.26 | 4.19 | 4.52 | 4.7 | 5.25 | 6.52 | 6.87
Row 1 | 1757.95 | 143.23 | 148 | 144.74 | 149.57 | 149.57 | 144.74 | 149.57 | 144.74 | 149.57 | 149.57 | 135.09 | 149.57
Row 2 | -1790.63 | -55.82 | -48.51 | -182.97 | -256.28 | -236.03 | -122.9 | -50.12 | -52.15 | -97.04 | -245.57 | -299.51 | -143.72
Row 3 | -236.01 | -21.75 | -21.08 | -22.48 | -18.63 | -17.68 | -15.74 | -15.6 | -16.74 | -17.51 | -19.58 | -23.3 | -25.9
Row 4 | -4086.82 | -377.44 | -365.1 | -388.25 | -322.12 | -305.84 | -272.71 | -270.41 | -290.04 | -303.53 | -339.42 | -402.81 | -449.14
Row 5 | -8410.75 | -690.73 | -713.76 | -691.41 | -714.45 | -714.45 | -691.41 | -714.45 | -691.41 | -714.45 | -714.45 | -645.31 | -714.45
Row 6 | -21.66 | -1.8 | -1.82 | -1.8 | -1.82 | -1.82 | -1.8 | -1.82 | -1.8 | -1.82 | -1.82 | -1.75 | -1.82
Row 7 | -2107.65 | -174.79 | -167.49 | -194.98 | -183.74 | -167.75 | -134.64 | -121.72 | -127.73 | -145.45 | -208.86 | -259.16 | -221.33
Row 8 | -36461.99 | -3240.21 | -3013.79 | -3197.45 | -2951.99 | -2726.51 | -2330.14 | -2202.8 | -2298.33 | -2599.27 | -3627.49 | -4279.53 | -3994.48
Row 9 | 495.35 | 31.21 | 28.17 | 40.69 | 44.29 | 34.02 | 31.14 | 27.65 | 28.22 | 30.11 | 67.06 | 73.25 | 59.55
Row 10 | -342.93 | -26.46 | -28.37 | -31.59 | -25.72 | -22.55 | -27.07 | -25.1 | -25.33 | -24.59 | -33.92 | -38.37 | -33.84
Row 11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
Row 12 | -143.23 | -13.23 | -12.8 | -13.61 | -11.29 | -10.72 | -9.56 | -9.48 | -10.17 | -10.64 | -11.9 | -14.12 | -15.74
Row 13 | -602.3 | -50.52 | -48.87 | -51.97 | -43.12 | -40.94 | -36.5 | -36.2 | -38.82 | -40.63 | -61.17 | -72.6 | -80.95
Row 14 | 55230.44 | 5100.89 | 4934.08 | 5246.88 | 4353.24 | 4133.26 | 3685.42 | 3654.4 | 3919.74 | 4101.98 | 4587.04 | 5443.67 | 6069.83
Row 15 | -700.6 | -64.7 | -62.59 | -66.56 | -55.22 | -52.43 | -46.75 | -46.36 | -49.72 | -52.03 | -58.19 | -69.05 | -77
Row 16 | -124.88 | -4.33 | -9.2 | -18.07 | -46.22 | -33.58 | -25.83 | 0.98 | 2.3 | 7.41 | 4.35 | 0.71 | -3.39
Row 17 | -727.48 | -67.05 | -64.98 | -69.28 | -57.44 | -54.51 | -48.53 | -48.09 | -51.6 | -53.99 | -60.36 | -71.81 | -79.83
Row 18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
Total | 1726.81 | 486.5 | 551.89 | 501.89 | -140.94 | -67.96 | 97.72 | 290.45 | 441.16 | 228.12 | -574.71 | -524.6 | 437.36
Spreadsheet: 145603d1331660908-vlookup-vlookup2
Sheet: Sheet2

 |  | EBITDA
 |  | Current
 |  | TOT_PHYS
 |  | FY12
 |  | Actual
 |  | YearTotal
 |  |  | Provider Dept # | Class | New or Existing in Market
0001 | MP28 | 86.06 | 1 | 2009 | NA
0002 | MP28 | -587.6099999999994 | 2 | 2009 | E
0003 | MP28 | 348.46 | 3 | 2006 | NA
0004 | MP28 | 1358.07 | #N/A | #N/A | #N/A
0005 | MP28 | 252.09 | 5 | 2007 | NA
0006 | MP28 | 3826.93 | 6 | 2009 | N
0009 | MP28 | 5612.91 | 9 | 2006 | N
0011 | MP9 | -1614.34 | 11 | 2009 | N
0012 | MP9 | 3145.98 | 12 | 2009 | N
Spreadsheet: 128611d1321098650-excel-2007-stacked-percent-column-chart-800977
Sheet: Sheet1

 |  | Jan | Feb | Mar | Apr | May
 | Project 1 | 3 | 3 | 3 | 3 | 3
 | Project 2 | 5 | 4 | 2 | 7 | 9
 | Project 3 | 20 | 25 | 30 | 15 | 20
 |  | Jan | Feb | Mar | Apr | May
 | Project 1 | 0.1071428571428571 | 0.09375 | 0.08571428571428572 | 0.12 | 0.09375
 | Project 2 | 0.1785714285714286 | 0.125 | 0.05714285714285714 | 0.28 | 0.28125
 | Project 3 | 0.7142857142857143 | 0.78125 | 0.8571428571428571 | 0.6 | 0.625
Spreadsheet: 107424d1304599166-need-formula-for-a-macro-function-example
Sheet: 27

1229
Name | Amount
Name 1 | 119
Name 3 | 178
Name 3 | 138
Name 2 | 132
Name 3 | 108
Name 1 | 178
Name 3 | 152
Name 1 | 144
Name 1 | 166
Name 1 | 146
Name 1 | 163
Name 3 | 181
Name 1 | 170
Name 3 | 175
Name 2 | 198
Name 3 | 176
Name 2 | 140
Name 3 | 107
Name 3 | 111
Name 3 | 129
Name 2 | 166
Name 2 | 158
Name 2 | 183
Name 2 | 162
Name 1 | 143
Spreadsheet: 90304d1290047522-re-format-spreadsheet-filter-register-example
Sheet: Risk Assessment Model

Risk Assessment Model
 |  |  | Examples for Interpreting "Consequence" |  |  |  |  | Positive Impacts
 | Economic |  | Significant long term change in revenue or costs | Significant medium term change in revenue or costs | Medium term change in revenue or costs | Short term change in revenue or costs | Negligible change in revenue or costs | Significant long term increase in revenue or costs reduction | Significant medium term improvement in revenue or costs reduction | Medium term improvement in revenue or costs reduction
 | Social |  | Community Outrage / Praise Media Involvement State/National | Major Protest / Support Media Involvement Local/Regional Ministerial Representations | Minor Protest / Support Formal Complaints / praise to Head Office | Complaint / Thanks Phone call | Off-hand comment | Community  Praise Media Involvement State/National Ministerial Representations | Community Praise Media Involvement Local/Regional | Community Praise Formal  praise to Head Office
 | Legal Non-Compliance |  | Major Offence | Major Offence, fine | Minor Offence, fine | Potential breach of legislation | Potential breach of legislation | Full Compliance and continuous improvement | Full Compliance | Compliance with observation
 |  |  | Prosecution
 | Environmental |  | Extreme, long term damage | Severe, long term damage | Medium term damage, | Damage - short term | Damage - minimal
 |  |  | Complete and Permanent Loss of Values. Not Repairable | Major [NAME] or Degradation of Values - Major Rehabilitation Required | Significant Loss or Degradation of Values - Rehabilitation Required | Noticeable Loss or Degradation of Values - Self Correcting in Time | Low Loss or Degradation of Values - minimal overall impact | Significant long term improvement  in environmental values | Long term improvement  in environmental values | Medium term improvement  in environmental values
 |  |  | CONSEQUENCE |  |  |  |  | CONSEQUENCE
 |  |  | Extreme | High | Moderate | Low | Negligible | Extreme | High | Moderate
 | Code |  | E | H | M | L | N
LIKELIHOOD |  |  | 2 | 3 | 4 | 5 | 6
Very Likely  – could happen at any time | 2 | VL | 1 | 1 | 2 | 3 | 4
Likely  – could happen sometime | 3 | L | 1 | 2 | 3 | 4 | 5
Unlikely  – could rarely happen | 4 | U | 2 | 3 | 4 | 5 | 5
Very unlikely  –could happen, but probably never will | 5 | VU | 3 | 4 | 5 | 5 | 5
Very Likely  – could happen at any time | 6 | VL+ | 1 P | 1 P | 2 P | NA | NA
Likely  – could happen sometime | 7 | L+ | 1 P | 2 P | 3 P | NA | NA
Significant Negative Aspects and Impacts |  |  |  |  | 1 | 2 | 3
Significant Positive Aspects and Impacts |  |  |  |  | P1 | P2 | P3
 |  |  |  |  |  | Air
 |  |  |  |  |  | Water
 |  |  |  |  |  | Soil
 |  |  |  |  |  | Vegetation
 |  |  |  |  |  | Biodiversity
 |  |  |  |  |  | Social
 |  |  |  |  |  | Waste
 |  |  |  |  |  | Energy
 |  |  |  |  |  | Heritage
 |  |  |  |  |  | Financial
 |  |  |  |  |  | Legal
 |  |  |  |  |  | Monitor
 |  |  |  |  |  | Training and capability
 |  |  |  |  |  | Emergency
Spreadsheet: 94884d1294656730-help-needed-agent-stats-tracker-teamstats
Sheet: SP

 |  | [NAME] | Packs Out | Collections | Packs Back | Col % 2 PB | FMP Out | FMP In | Calls Taken | Calls Out | Attendence
 | 2011-01-17 00:00:00 |  |  |  |  | 1
 | 2011-01-18 00:00:00 | 7.5 | 7 | 5 | 4 | 0.8 | 282
 | 2011-01-19 00:00:00 | 7.5 | 7 | 5 | 4 | 0.8 | 1000
 | 2011-01-20 00:00:00 | 7.5 | 7 | 4 | 4 | 1 | 664
 | 2011-01-21 00:00:00 | 7.5 | 5 | 3 | 3 | 1 | 995
 | Weekly Total | 37.5 | 33 | 21 | 19 | 0.9047619047619048 | 3391 | 0 | 0 | 0 | 0
 | 2011-01-24 00:00:00 |  | 7 | 4 | 4 | 1 | 450
 | 2011-01-25 00:00:00 |  | 7 | 5 | 4 | 0.8 | 282
 | 2011-01-26 00:00:00 |  | 7 | 5 | 4 | 0.8 | 1000
 | 2011-01-27 00:00:00 |  | 7 | 4 | 4 | 1 | 664
 | 2011-01-28 00:00:00 |  | 5 | 3 | 3 | 1 | 995
 | Weekly Total |  | 33 | 21 | 19 | 0.9047619047619048 | 3391 | 0 | 0 |  | 0
 | 2011-01-31 00:00:00 |  | 7 | 4 | 4 | 1 | 450
 | 2011-02-01 00:00:00 |  | 7 | 5 | 4 | 0.8 | 282
 | 2011-02-02 00:00:00 |  | 7 | 5 | 4 | 0.8 | 1000
 | 2011-02-03 00:00:00 |  | 7 | 4 | 4 | 1 | 664
 | 2011-02-04 00:00:00 |  | 5 | 3 | 3 | 1 | 995
 | Weekly Total |  | 33 | 21 | 19 | 0.9047619047619048 | 3391 | 0 | 0 |  | 0
 | 2011-02-07 00:00:00 |  | 7 | 4 | 4 | 1 | 450
 | 2011-02-08 00:00:00 |  | 7 | 5 | 4 | 0.8 | 282
 | 2011-02-09 00:00:00 |  | 7 | 5 | 4 | 0.8 | 1000
 | 2011-02-10 00:00:00 |  | 7 | 4 | 4 | 1 | 664
 | 2011-02-11 00:00:00 |  | 5 | 3 | 3 | 1 | 995
 | Weekly Total |  | 33 | 21 | 19 | 0.9047619047619048 | 3391 | 0 | 0 |  | 0
 | 2011-02-14 00:00:00 |  | 5 | 4 | 4 | 1
 | 2011-02-15 00:00:00 |  | 7 | 5 | 4 | 0.8
 | Weekly Total |  | 12 | 9 | 8 | 0.8888888888888888 | 0 | 0 | 0 |  | 0
 | Monthly Total |  | 144 | 93 | 84 | 0.9032258064516129 | 13564 | 0 | 0 |  | 0
Spreadsheet: 876449d1723128353-copy-and-paste-data-if-today-is-within-x-days-of-y-date-gw_sample-file_v2
Sheet: Sheet1

 |  |  |  |  | Today's date
 |  |  |  |  |  | Because today is within 30 days of cell G4, it would be relevant to put the values into G7:G11 | Values for columns H - M not available yet, but will populate in the future as quarters complete. (But have created a hypothethical scenario for column H (using dummy data in cells A18:C27). However this date would overwrite A4:C14)
How this data looks now
Company | Investment | Amount repaid to date |  |  | Data check date | 2024-07-31 00:00:00 | 2024-10-31 00:00:00 | 2025-01-31 00:00:00 | 2025-04-30 00:00:00 | 2025-07-31 00:00:00 | 2025-10-31 00:00:00 | 2026-01-31 00:00:00
AAA | A1 | 10 |  |  | Quarter Start Date | 2024-04-01 00:00:00 | 2024-07-01 00:00:00 | 2024-10-01 00:00:00 | 2025-01-01 00:00:00 | 2025-04-01 00:00:00 | 2025-07-01 00:00:00 | 2025-10-01 00:00:00
AAA | A2 | 20 |  |  | Quarter End Date | 2024-06-30 00:00:00 | 2024-09-30 00:00:00 | 2024-12-31 00:00:00 | 2025-03-31 00:00:00 | 2025-06-30 00:00:00 | 2025-09-30 00:00:00 | 2025-12-31 00:00:00
BBB | B1 | 5 |  | Total repaid per company | AAA | 30 | 60
BBB | B2 | 0 |  |  | BBB | 5 | 10
BBB | B3 | 0 |  |  | CCC | 120 | 240
CCC | C1 | 40 |  |  | DDD | 27 | 54
CCC | C2 | 40
CCC | C | 40
DDD | D1 | 12
DDD | D2 | 15
How this data might look on 08/11/2024
Company | Investment | Amount repaid to date
AAA | A1
AAA | A2
BBB | B1
BBB | B2
BBB | B3
CCC | C1
CCC | C2
CCC | C
DDD | D1
DDD | D2
Spreadsheet: 60618d1261122105-excel-2007-subtracting-time-example
Sheet: Sheet1

 | Start Time | Finish Time | [NAME] | Paid Hours | O/T Hours
 | 10:45:00 | 20:00:00
 | 01:00:00 | 11:00:00
 | 22:00:00 | 07:00:00
 | 15:00:00 | 02:00:00
Spreadsheet: 298439d1392804114-combine-two-columns-based-on-name-number-and-score-bb
Sheet: Sheet2

Player Name | Best
[NAME] | 1/10
As | 0/19
Ganesh | 1/8
Gopi | 1/2
[NAME] | 1/16
[NAME] | 0/12
Praveen | 3/7
Santhosh | 3/7
[NAME] | 1/1
Vembuli | 1/9
Vijay | 2/8
Spreadsheet: 876684d1723406681-how-to-link-or-import-data-between-two-excel-workbooks-with-very-different-formats-daily-sheets
Sheet: 06.19.24

 | AM SHIFT REPORT
 |  |  |  | 2024-06-19 00:00:00
 | UNIT | Bed Capacity | [NAME] | Census | Census Pending | RN | RN PD | TRVL | RN OT | RN Sick | Tech | NA | Comments
 | 3RD FL | 13 | 7 | 10 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 0
 | 4TH FL | 38 | 22 | 24 | 0 | 4 | 1 | 2 | 0 | 0 | 2 | 0
 | 5TH FL | 34 | 20 | 24 | 0 | 4 | 0 | 0 | 0 | 0 | 2 | 0
 | ABC | 27 | 18 | 12 | 0 | 4 | 0 | 0 | 0 | 0 | 2 | 0
 | MNO | 12 | 6 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 1 | 0
 | Total MED
 | JKL | 26 | 4 | 4 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0
 | DEF | 10 | 4 | 4 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0
 | GHI | N/A | N/A | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 1 | 0
 | Total MAT
 | Total Holds AM | N/A | N/A | 1 | 0 | 5 | 0 | 0 | 1 | 1 | 1 | 0
 | Total Holds MID |  |  | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 1 | 0
 | Total House Census
 | PM SHIFT REPORT
 |  |  |  | 2024-06-19 00:00:00
 | UNIT | Bed Capacity | Bud. Beds | Census | Census Pending | RN | RN PD | TRVL | RN OT | RN Sick | Tech | NA | Comments
 | 3RD FL | 13 | 7 | 5 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0
 | 4TH FL | 38 | 22 | 23 | 0 | 4 | 0 | 1 | 1 | 0 | 2 | 0
 | 5TH FL | 34 | 20 | 21 | 0 | 4 | 1 | 3 | 0 | 0 | 2 | 0
 | ABC | 27 | 18 | 13 | 0 | 4 | 0 | 2 | 0 | 0 | 1 | 0.5
 | MNO | 12 | 6 | 3 | 0 | 2 | 0 | 0 | 0 | 1 | 1 | 0
 | Total MED
 | JKL | 26 | 4 | 3 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0
 | DEF | 10 | 4 | 3 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0
 | GHI | N/A | N/A | 2 | 0 | 3 | 0 | 1 | 0 | 0 | 1 | 0
 | Total MAT
 | Total Holds PM | N/A | N/A | 0 | 0 | 4 | 1 | 0 | 0 | 1 | 2 | 0
 | Total House Census
Spreadsheet: 701748d1603906638-how-to-apply-offset-to-index-and-match-result-apply-offset-to-index-match-result
Sheet: Sheet2

1 | 2 | 3 | 4 | 5 | 6 | 7
G3 | A3 | B3 | C4 | D4 | E4 | G#
E4 | F#4 | G4 | A4 | B4 | C5 | G
E4 | F#4 | G4 | A4 | B4 | C5 | G#
E4 | F#4 | G4 | A4 | B4 | C5 | G
E4 | F4 | G4 | A4 | B4 | C5 | G
D4 | E4 | F#4 | G4 | A4 | B4 | G#
D4 | E4 | F#4 | G4 | A4 | B4 | G
E4 | F#4 | G4 | A4 | B4 | C5 | G
E4 | F4 | G4 | A4 | B4 | C5 | G
E4 | F4 | G#4 | A4 | B4 | C5 | G
E4 | F4 | G#4 | A4 | B4 | C#5 | G
E4 | F4 | G#4 | A4 | B4 | C#5 | G
E4 | F4 | G#4 | A4 | B4 | C5 | G
E4 | F#4 | G4 | A4 | B4 | C#5 | G
E4 | F#4 | G4 | A4 | B4 | C5 | G
E4 | F#4 | G4 | A4 | B4 | C#5 | G
E4 | F4 | G4 | A4 | B4 | C#5 | G
E4 | F#4 | G4 | A4 | A#4 | C#5 | G
E4 | F4 | G4 | A4 | A#4 | C#5 | G
D4 | E4 | F#4 | G4 | A4 | A#4 | G#
Spreadsheet: daren_farmer__5707__HPLN0201
Sheet: Sheet1

HPLN0201.XLS |  | Fax # [PHONE]
TO:  DARREN FARMER / ENRON;  CARY METZ / ENRON;  [NAME] / HPL;  LIZ BELLAMY / ENRON
FROM:  MELISSA JONES - TXU ELECTRIC & GAS  (TU ELECTRIC)
SUBJECT:  TXU FUELS NOMINATION - February 01, 2001
 |  |  |  |  |  | **Thursday
HPL AND ENRON NOMINATIONS: |  |  |  |  |  | 2001-02-01 00:00:00
 |  |  |  |  |  | Eff. 0900 hrs.
 |  |  |  |  | PRIOR | NOMINATED
CONTRACT |  | DELIVERY POINT |  | Upstream
 |  | Firm Summary
 |  | Enron North America Spot/3959
OTHER ENRON/HPL TRANSPORTS: |  |  |  | Downstream
 |  | Total Other Transports:
NOTE:  Additional swing volumes may be requested at Teco Tap, or Texoma by TUFCO Gas Control under either the
Wagner Brown K# 1901 or HPL K# 3949 agreements.
*  Nominations to continue until TU Electric changes such nominations.
CC:   [NAME] | [NAME]
R. Skerik | [NAME]
G. Green | K. English
B. Fleming | GCC Dispatcher
Spreadsheet: 94068d1293877513-data-validation-book1
Sheet: Sheet1

 |  |  |  |  |  | Day | Night | Dry | Wet |  | Bi-Directional |  |  | Comments
 | 1
 | 2
 | 3
 | 4
 | 5
 | 6
 | 7
 | 8
 | 9
 | 10
 | 11
 | 12
 | 13
 | 14
 | 15
 | 16
 | 17
 | 18
 | 19
 | 20
 | 21
 | 22
 | 23
 | 24
 | 25
 | 26
 | 27
 | 28
 | 29
 | 30
 | 31
 | 32
 | 33
 | 34
 | 35
 | 36
 | 37
 | 38
 | 39
 | 40
Spreadsheet: darron_c_giron__8050__2000
Sheet: March 2000

Done after bid-week:
Telerate/Price Basis/Quotes/Deals/OTC/Pub Posting
Pull up Crude Merc value & update cell E9 |  |  |  |  | Date,F5,%Nxavcprompt,F3
Update following cells from Gas Market Report
 |  | Note: Insert the #'s in blue to calculate the customer price
 |  | Crude Merc | IF-Elpaso Perm | IF-HH | IF-Elpaso/SJ | IF-TW-Permian
 |  | 29.894 | 2.41 | 2.61 | 2.37 | 2.41
CPR# | Sitara # | TAGG # | PanEnergy/Duke | Facility | Term | Calculated Price
98063 | 27258 | E21728 | 2,500/day | 506767 | 7/95-12/2001
CPR# | Sitara # | TAGG # | Union Pacific | Facility | Term | Calculated Price
48853 | 106622 | E11400 | 2,500/day | 506767 | 1/92-12/2003
CPR# | Sitara # | TAGG # | Union Pacific | Facility | Term | Calculated Price
3217 | 106624 | E22656 | 7,000/day | 506767 | 1/95-12/2001
CPR# | Sitara # | TAGG # | Vastar | Facility | Term | Calculated Price
394674 | 27253 | E21977 | 10,000/day | 506766 | 6/96-4/2002
CPR# | Sitara # | TAGG # | Agave/Yates | Facility | Term | Calculated Price
93788 | 27245 | E20337 | 10,000/day | 58649 | 1/93-12/2002 |  | * moved to Central desk for March
 |  | Last Update:
Spreadsheet: 656537d1578298166-calculating-values-depending-on-variable-suppliers-sample-supplier-products-calcs-beamer3-
Sheet: Sheet1

 | Shift | Time of Day | Supplier | Product 1 | Product 2 | Product 3 | Product 4 | Product 5 | Product 6 | Product 7 | Product 8 | Product 9 | Product 10 | Cost
 | 1 | Day | Supplier 1 | 1 | 1
 | 2 | Night | Supplier 1 |  | 3 | 1
 | 3 | Day | Supplier 2 | 2 | 2 | 1
 | 4 | Weekend | Supplier 1 |  |  | 4
 |  |  | Product 1 | Product 2 | Product 3 | Product 4 | Product 5 | Product 6 | Product 7 | Product 8 | Product 9 | Product 10
 | Supplier 1 | Day | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10
 |  | Night | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11
 |  | Weekend | 2.5 | 3.5 | 4.5 | 5.5 | 6.5 | 7.5 | 8.5 | 9.5 | 10.5 | 11.5
 | Supplier 2 | Day | 2 | 3 | 1 | 1 | 0.5 | 0 | -0.5 | -1 | -1.5 | -2
 |  | Night | 3 | 4 | 2 | 2 | 1.5 | 1 | 0.5 | 0 | -0.5 | -1
 |  | Weekend | 3.5 | 4.5 | 2.5 | 2.5 | 2 | 1.5 | 1 | 0.5 | 0 | -0.5
 | Supplier 3 | Day | 3.83333333333333 | 4.83333333333333 | 1.63333333333333 | 1.23333333333333 | 0.133333333333329 | -0.966666666666667 | -2.06666666666662 | -3.16666666666671 | -4.26666666666669 | -5.36666666666668
 |  | Night | 4.26190476190476 | 5.26190476190476 | 1.29047619047619 | 0.633333333333334 | -0.852380952380951 | -2.33809523809524 | -3.82380952380952 | -5.30952380952381 | -6.79523809523809 | -8.28095238095238
 |  | Weekend | 4.69047619047619 | 5.69047619047619 | 0.94761904761905 | 0.0333333333333341 | -1.83809523809524 | -3.70952380952384 | -5.58095238095242 | -7.45238095238091 | -9.32380952380949 | -11.1952380952381
 | Supplier 4 | Day
 |  | Night
 |  | Weekend
 | Supplier 5 | Day
 |  | Night
 |  | Weekend
 | Supplier 6 | Day
 |  | Night
 |  | Weekend
 | Supplier 1
 | Supplier 2
 | Supplier 3
Spreadsheet: 160042d1338937585-populating-cell-with-multiple-criteria-book1
Sheet: Data Entry

 | = entry field, from lookup values
 | = automatically populated
 | = entry field
Project | Desc | DO # | Subcontract | Sub | Week Ending | Worker's Name | 2008 Classification | Hours - S | Rate Paid | Hours - OT | Rate Paid | [NAME] | Amt Paid | 2010/2011 Wage Determination | 2010/2011 Classification | 2010/2011 Rate | 2010/2011 Fringe | 2010/2011 Amt | Net Due (Min of $0)
660000227 |  |  |  |  |  |  | [NAME] |  |  |  |  |  |  | BUILDING | [NAME]