tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 5306771c-e68f-4535-973d-1a08ad64a26e
Sheet: Sheet1

Annual average concentration of Particulate Matter (PM2.5), by   County and Year, Maine,  2001, 2006, 2008 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5
County | Micrograms per cubic meter | Micrograms per cubic meter | Micrograms per cubic meter | Micrograms per cubic meter | Micrograms per cubic meter
 | (Monitors Only, 2001) | (Monitors/Model^ 2001) | (Monitors Only, 2006) | (Monitors/Model^ 2006) | (Monitors Only, 2008)
Androscoggin | 11.3 | 10.3 | 8.9 | 9.0 | 8.6
Aroostook | 11.4 | 8.9 | 9.8 | 8.3
Cumberland | 12.0 | 10.7 | 10.7 | 9.4
Franklin |  | 6.7 |  | 6.7
Hancock | 6.6 | 6.9 | 5.1 | 6.5 | 4.8
Kennebec | 11.3 | 9.6 | 9.7 | 8.7 | 8.0
Knox | 7.6 | 7.9 |  | 7.8
Lincoln |  | 8.7 |  | 8.6
Oxford |  | 8.3 | 10.6 | 8.0 | 8.5
[NAME] | 10.2 | 9.5 | 8.5 | 8.1 | 7.8
Piscataquis |  | 6.6 |  | 6.5 | 5.7
Sagadahoc |  | 8.7 |  | 8.6
Somerset |  | 7.6 |  | 7.5
[NAME] |  | 8.1 |  | 7.7
Washington |  | 5.4 |  | 5.3
York | 10.0 | 10.1 |  | 9.4
Data source:  Maine Environmental Public health tracking [NAME], accessed 4/2012.  The original data were obtained from the Environmental Protection Agency's (EPA’s) Air Quality System (AQS) database, which contains ambient air pollution data collected by EPA and by state, local, and tribal air pollution control agencies. Indicator measures were computed by EPA staff in collaboration with a workgroup of staff from the US Center for Disease Control (CDC) and state and city public health departments.
The annual average PM2.5 National Ambient Air Quality Standard (NAAQS) is 15.0 micrograms per cubic meter.
For details on standards and averaging periods, please see  http://www.epa.gov/air/particlepollution/standards.html .
"Monitors Only" measures are calculated for areas with monitors that pass a completeness criterion. Data completeness for each monitor was based on the availability of samples for a certain number of days during each calendar quarter.
The "Monitors/Model" data source uses Hierarchical Bayesian (HB) modeled predictions for areas and days without monitoring data, along with Air Quality System (AQS) data for areas and days with monitoring data. HB modeled data are generated through statistical fusion of AQS monitor and Community Multiscale Air Quality (CMAQ) model-predicted concentration values.
NA= Not available - these locationshave no data for the specified year.
^ Monitors/Model data are only available for 2006.
Spreadsheet: 678593d1589972973-find-date-end-for-unique-value-example
Sheet: Arkusz1

Name | Value | Date_start | Date_end
Name1 | Value1 | 2020-05-01 | 2020-05-02
Name1 | Value1 | 2020-05-02 |  | <-- when date_end was found then leave it empty
Name1 |  | 2020-05-03
Name1 | Value1 | 2020-05-04 | 2020-05-04
Name1 |  | 2020-05-05
Name1 | Value2 | 2020-05-06 | 2020-05-06
Name1 |  | 2020-05-07
Name1 | Value2 | 2020-05-08 | 2020-05-09
Name1 | Value2 | 2020-05-09
[NAME] | Value1 | 2020-05-01 | 2020-05-05
[NAME] | Value1 | 2020-05-02
[NAME] | Value1 | 2020-05-03
[NAME] | Value1 | 2020-05-04
[NAME] | Value1 | 2020-05-05
[NAME] |  | 2020-05-06
[NAME] |  | 2020-05-07
[NAME] |  | 2020-05-08
[NAME] | Value2 | 2020-05-09 | 2020-05-09
Name3 | Value1 | 2020-05-01 | 2020-05-03
Name3 | Value1 | 2020-05-02
Name3 | Value1 | 2020-05-03
Name3 | Value3 | 2020-05-04 | 2020-05-05
Name3 | Value3 | 2020-05-05
Name3 |  | 2020-05-06
Name3 |  | 2020-05-07
Name3 |  | 2020-05-08
Name3 |  | 2020-05-09
Spreadsheet: 693731d1599120255-use-vlookup-to-search-for-multiple-variation-of-a-name-lookup
Sheet: Sheet1

Lookup list | Vlookup |  |  | Alternative Lookup names
X-16 |  |  |  | 16X
A1 |  |  |  | X16
B1 |  |  |  | X-16
C1 |  |  |  | 16-X
 |  |  |  | C1
 |  |  |  | 1C
List |  |  |  | A1
A1 | 1 |  |  | 1A
B1 | 10 |  |  | 1B
16 X | 15 |  |  | B1
1C | 2
Spreadsheet: 778101d1650866727-conditional-formatting-based-on-another-cells-format-cf-shift-schedule-aligw
Sheet: 2. Input hours

Key | not available | = staff member not available to work |  |  |  |  |  | hol | = holiday booked |  |  |  |  | = shift
Sunday | 2022-04-24 00:00:00
 | 06:00:00 | 06:30:00 | 07:00:00 | 07:30:00 | 08:00:00 | 08:30:00 | 09:00:00 | 09:30:00 | 10:00:00 | 10:30:00 | 11:00:00 | 11:30:00 | 12:00:00 | 12:30:00 | 13:00:00 | 13:30:00 | 14:00:00 | 14:30:00 | 15:00:00 | 15:30:00 | 16:00:00 | 16:30:00 | 17:00:00 | 17:30:00 | 18:00:00 | 18:30:00 | 19:00:00 | 19:30:00 | 20:00:00 | 20:30:00 | 21:00:00 | 21:30:00 | 22:00:00 | 22:30:00 | 23:00:00 | 23:30:00 | 1900-01-01 00:00:00
[NAME] |  |  |  |  |  |  |  |  |  |  | start |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | finish
Bertha |  |  | start |  |  |  |  |  |  |  |  |  |  |  |  |  | finish
Cnut |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | start |  |  |  |  |  |  |  |  |  |  |  | finish
[NAME] |  |  |  |  |  |  |  |  |  |  |  |  | start
Total staff
Spreadsheet: 814793d1674593989-find-values-in-different-worksheets-pasta1
Sheet: Planilha3

 | 2023-05-01 00:00:00 | 15 | 2023-06-01 00:00:00 | 26
 | 2023-05-02 00:00:00 | 16 | 2023-06-02 00:00:00 | 28
 | 2023-05-03 00:00:00 | 17 | 2023-06-03 00:00:00 | 30
 | 2023-05-04 00:00:00 | 18 | 2023-06-04 00:00:00 | 32
 | 2023-05-05 00:00:00 | 19 | 2023-06-05 00:00:00 | 34
 | 2023-07-01 00:00:00 | 21 | 2023-08-01 00:00:00 | 38
 | 2023-07-01 00:00:00 | 22 | 2023-08-01 00:00:00 | 40
 | 2023-07-01 00:00:00 | 23 | 2023-08-01 00:00:00 | 42
 | 2023-07-01 00:00:00 | 24 | 2023-08-01 00:00:00 | 44
 | 2023-07-01 00:00:00 | 25 | 2023-08-01 00:00:00 | 46
Spreadsheet: 35638d1233237886-macro-code-required-for-calculations-base-on-pivot-tables-sum-pivot-example-a
Sheet: Data

Code | Description | Pers.No. | Name | [NAME] | Week No | Hours
16922851 | Duty 12 | 2475680 | [NAME] | 33 | 01 | 9
71180289 | Duty 1 | 3092436 | [NAME] | 13 | 01 | 4
71211404 | Duty 2 | 3053837 | [NAME] | 13 | 01 | 7.5
71211404 | Duty 2 | 3053837 | [NAME] | 13 | 01 | 7.5
71211964 | Duty 3 | 2473716 | [NAME] | 13 | 01 | 1
71211964 | Duty 3 | 2473716 | [NAME] | 13 | 01 | 1
71211964 | Duty 3 | 3052651 | [NAME] | 13 | 01 | 6.5
71211964 | Duty 3 | 3052651 | [NAME] | 13 | 01 | 8
71211964 | Duty 3 | 3052651 | [NAME] | 13 | 01 | 9
71211964 | Duty 3 | 3056564 | Guy Robets | 13 | 01 | 7.5
71286775 | Duty 3 | 3664476 | [NAME] | 19 | 01 | 7.4
71286775 | Duty 3 | 3664476 | [NAME] | 19 | 01 | 7.4
71286775 | Duty 3 | 3664476 | [NAME] | 19 | 01 | 7.4
71291163 | Duty 6 | 3067962 | [NAME] | 13 | 01 | 7
Spreadsheet: 811916d1672859945-how-to-calculate-half-day-in-excel-formula-halfdaycalculation
Sheet: Sheet1

From Date | To date | Output | As per formula
2023-01-01 00:00:00 | 2023-01-03 00:00:00 | 3
2023-01-01 00:00:00 | 2023-01-01 12:00:00 | 0.5
2023-01-01 00:00:00 | 2023-01-01 00:00:00 | 1
2023-01-01 00:00:00 | 2023-01-05 12:00:00 | 4.5
Spreadsheet: 46451d1245318846-if-statement-or-vlookup-help-copy-of-example6
Sheet: DATA

Contract Number | 20ft | 40ft | TEU
1 | 20 | 48 | 116
2 | 1 | 0 | 1
3 | 17 | 0 | 17
4 | 2 | 1 | 4
5 | 319 | 0 | 319
6 | 2 | 0 | 2
7 | 1 | 0 | 1
8 | 1 | 0 | 1
9 | 44 | 0 | 44
10 | 12 | 0 | 12
11 | 324 | 0 | 324
12 | 27 | 0 | 27
13 | 268 | 30 | 328
14 | 2 | 0 | 2
15 | 3 | 0 | 3
16 | 5 | 0 | 5
17 | 0 | 2 | 4
18 | 48 | 0 | 48
19 | 47 | 0 | 47
20 | 1 | 0 | 1
21 | 12 | 2 | 16
22 | 24 | 0 | 24
23 | 7 | 0 | 7
24 | 0 | 8 | 16
25 | 98 | 0 | 98
26 | 0 | 16 | 32
27 | 0 | 15 | 30
28 | 0 | 2 | 4
29 | 18 | 0 | 18
30 | 0 | 1 | 2
31 | 0 | 30 | 60
32 | 0 | 3 | 6
33 | 0 | 1 | 2
34 | 0 | 431 | 862
35 | 1 | 0 | 1
36 | 15 | 2 | 19
37 | 0 | 1 | 2
38 | 0 | 26 | 52
39 | 1 | 0 | 1
40 | 16 | 0 | 16
41 | 14 | 0 | 14
42 | 1 | 2 | 5
43 | 0 | 2 | 4
44 | 20 | 2 | 24
45 | 0 | 29 | 58
46 | 0 | 1 | 2
47 | 0 | 2 | 4
48 | 1 | 0 | 1
49 | 1 | 0 | 1
50 | 0 | 4 | 8
51 | 1 | 0 | 1
52 | 0 | 1 | 2
53 | 0 | 3 | 6
54 | 31 | 0 | 31
55 | 0 | 1 | 2
56 | 1 | 0 | 1
57 | 0 | 1 | 2
58 | 34 | 45 | 124
59 | 6 | 0 | 6
60 | 0 | 3 | 6
61 | 5 | 0 | 5
62 | 11 | 0 | 11
63 | 5 | 0 | 5
64 | 0 | 5 | 10
65 | 12 | 0 | 12
66 | 22 | 0 | 22
67 | 0 | 4 | 8
68 | 9 | 0 | 9
69 | 1 | 0 | 1
70 | 0 | 1 | 2
71 | 6 | 0 | 6
72 | 1 | 0 | 1
73 | 40 | 0 | 40
74 | 1 | 1 | 3
75 | 18 | 0 | 18
76 | 8 | 6 | 20
77 | 0 | 3 | 6
78 | 1 | 0 | 1
79 | 98 | 0 | 98
80 | 0 | 3 | 6
81 | 0 | 2 | 4
82 | 86 | 0 | 86
83 | 0 | 60 | 120
84 | 0 | 1 | 2
85 | 0 | 13 | 26
86 | 0 | 34 | 68
87 | 0 | 2 | 4
88 | 0 | 1 | 2
89 | 0 | 1 | 2
90 | 0 | 6 | 12
Spreadsheet: 741724d1627300847-need-help-with-inventory-of-raw-material-items-example-sheet-mod1
Sheet: Sheet1

Goods Received |  |  |  |  | Goods Used |  |  |  |  |  | RM remaining
Purchase Date | Raw Material | [NAME] | Quantity/kg |  | MFG Date | Product Batch No | Product | Raw Material | RM Qnty Used | Batch Id | Sugar | [NAME] | Butter
2021-04-05 00:00:00 | Sugar | S1208U | 200 |  | 2021-04-11 00:00:00 | PB1101 | Pistachio Biscuit | Sugar | 100 | S1208U
2021-04-08 00:00:00 | Sugar | S1276U | 50 |  | 2021-04-11 00:00:00 | AB102 | Almond Biscuit | Sugar | 80 | S1208U
2021-04-09 00:00:00 | Sugar | S1291U | 50 |  | 2021-04-12 00:00:00 | BM103 | Black Magic Cake | Sugar | 50 | S1208U/S1276U
2021-07-12 00:00:00 | Sugar | S1301U | 100
 |  |  |  |  |  |  |  |  |  | Manual Entry
Spreadsheet: 76317d1276814114-smarter-chart-example-forecast
Sheet: Revenue Forecast

 | REVENUE FORECAST
 | Opportunity Name |  |  |  | Sales Category |  |  | Optimistic Forecast |  |  | Expected |  |  | Pessimistic Forecast |  |  | Month |  | Mean Forecast
 | A Corp. |  |  |  | Consulting |  |  | 150000 |  |  | 120000 |  |  | 90000 |  |  | Jan
 | B Corp. |  |  |  | Products |  |  | 145200 |  |  | 122000 |  |  | 89000 |  |  | Feb
 | C Inc. |  |  |  | Support |  |  | 162500 |  |  | 120000 |  |  | 84000 |  |  | Mar
 | D Travel |  |  |  | Consulting |  |  | 147500 |  |  | 125000 |  |  | 99000 |  |  | Apr
 | E Power |  |  |  | Services |  |  | 148000 |  |  | 140000 |  |  | 132000 |  |  | May
 | F Lab |  |  |  | Training |  |  | 175000 |  |  | 150000 |  |  | 125000 |  |  | Jun
 | G Inc. |  |  |  | Services |  |  | 149000 |  |  | 125000 |  |  | 101000 |  |  | Jul
 | H Publishing |  |  |  | Consulting |  |  | 142000 |  |  | 131000 |  |  | 119000 |  |  | Aug
 | I Design |  |  |  | Support |  |  | 189900 |  |  | 175000 |  |  | 145000 |  |  | Sep
 | J House |  |  |  | Products |  |  | 172500 |  |  | 156000 |  |  | 142000 |  |  | Oct
 | K Traders |  |  |  | Services |  |  | 163500 |  |  | 146000 |  |  | 123000 |  |  | Nov
 | L Video |  |  |  | Training |  |  | 155500 |  |  | 150000 |  |  | 141000 |  |  | Dec
 | M Toys |  |  |  | Support |  |  | 166000 |  |  | 133000 |  |  | 112000 |  |  | Jan
 | N Inc. |  |  |  | Support |  |  | 180000 |  |  | 170000 |  |  | 160000 |  |  | Mar
 | O Corp |  |  |  | Training |  |  | 140000 |  |  | 120000 |  |  | 100000 |  |  | May
 | P Insurance |  |  |  | Products |  |  | 155000 |  |  | 135000 |  |  | 115000 |  |  | Jun
 | R Software |  |  |  | Consulting |  |  | 173200 |  |  | 168500 |  |  | 161900 |  |  | Oct
 | S Institute |  |  |  | Services |  |  | 146500 |  |  | 142400 |  |  | 137500 |  |  | Dec
 |  |  |  |  | … |  |  |  |  |  |  |  |  |  |  |  | …
 |  |  |  |  | … |  |  |  |  |  |  |  |  |  |  |  | …
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Spreadsheet: 760539d1640274339-calculate-how-often-a-2nd-occurrence-is-positive-second-trades-positive
Sheet: RESULTS

 | BREAKOUT STRATEGY NOTES |  |  |  |  |  |  |  |  |  |  |  |  |  |  | TRADES | 1-3M | 3-5M | 5-10M | 10-20M | 20-50M | 50-100M | 100M <
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | < 100M
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 100-500M
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 500M-1B
 | Trading Days | 252 | Annual calendar trading days |  |  |  |  |  |  |  |  |  |  |  |  | 1B <
 | No Trade Days | 15 | Days w/ no trades available
 | Days Off | 10 | Vacation or other days off |  |  |  |  |  |  |  |  |  |  |  |  | ENTRY (10) | 1-3M | 3-5M | 5-10M | 10-20M | 20-50M | 50-100M | 100M <
 | Traded % |  | Used in Annualized Net Gain calculations |  |  |  |  |  |  |  |  |  |  |  |  | < 100M
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 100-500M
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 500M-1B
 | ANNUALIZED NET GAIN CALCULATOR -1% |  |  |  |  |  |  |  | WEEKLY |  |  |  |  |  |  | 1B <
 | Price | Shares | Risk | Count | ROI | Net Profit | ATI |  | WEEK | TRADES | POINTS | WIN % | PF | ENTRY %
 | 10 | 1000 |  |  |  |  |  |  |  |  |  |  |  |  |  | WIN % (10) | 1-3M | 3-5M | 5-10M | 10-20M | 20-50M | 50-100M | 100M <
 | < > | 1000 |  |  |  |  |  |  |  |  |  |  |  |  |  | < 100M
 | 30 | 500 |  |  |  |  |  |  |  |  |  |  |  |  |  | 100-500M
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 500M-1B
 | Setup multiplier: | PM Consolidation |  | 2 |  |  |  |  |  |  |  |  |  |  |  | 1B <
 | GAIN/LOSS |  |  |  |  |  |  |  |  |  |  |  |  |  |  | POINTS (10) | 1-3M | 3-5M | 5-10M | 10-20M | 20-50M | 50-100M | 100M <
 |  | All-time | Prev 3 Wk | > 1 pt | > 2 pt | > 3 pt | > 4 pt |  |  |  |  |  |  |  |  | < 100M
 | Win % |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 100-500M
 | Trades |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 500M-1B
 | Trades % |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1B <
 | Profit Factor
 | Days (Traded) |  |  |  |  |  |  |  |  |  |  |  |  |  |  | TOTAL PTS (10) | 1-3M | 3-5M | 5-10M | 10-20M | 20-50M | 50-100M | 100M <
 | Points (Net) |  |  |  |  |  |  |  |  |  |  |  |  |  |  | < 100M
 | Points % (Net) |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 100-500M
 | Points (Wk Ave) |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 500M-1B
 | Points (Annualized) |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1B <
 | Entry Success %
 | [NAME] |  |  | Greatest sequence of negative trades |  |  |  |  |  |  |  |  |  |  |  | MEAN G/L -10% | >= 4 | >= 5 | >= 6 | >= 7 | >= 8 | >= 9 | >= 10
 | Ave [NAME] |  |  | Average sequence of negative trades |  |  |  |  |  |  |  |  |  |  |  | All-TIME (5)
 | PM Trades |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Last 10 Wk
 | PM Trades % |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Last 5 Wk
 | PM Points (Net)
 | PM Win %
 | SETUPS
 | Setup | Trades | Trades % | Win % | Prev 3 Wk | Points | Entry %
 | PM Consolidation
 | PMH
 | HOD
 | R2G
 | Pivot
 | Daily
 | Consolidation
 | MAX
 |  | Mean 20% |  | > 5 pt | > 10 pt | > 20 pt | > 30 pt
 | Entry-High
 | High-Exit
 | ENTRY TIMES
 |  | Trades | Trades % | Ave
 | 8:30-8:59
 | 9:00-9:29
 | 9:30-9:49
 | 9:50-10:29
 | 10:30-11:29
 | 11:30-15:59
Spreadsheet: dbdbcad7-e305-4c4c-8f50-8d0d4c7c72b7
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
FFLT3 | Test | FFLT3 | FLT3 Mutation Testing | FLT3 (ITD) and D835 [NAME] | [NAME] |  |  |  |  |  | Submit only 1 of the following specimens:   Note:	1. If also ordering a Mayo test, send separate specimens 	2. Clinical reason for referral (AML or CML) is required 	3. Specimen source is required 	4. Date of collection is required   Blood Draw blood in a lavender-top (EDTA) or yellow-top (ACD) tube(s). Send 4 mL EDTA or ACD whole blood refrigerate.    Bone Marrow Collect bone marrow in a lavender-top (EDTA) or yellow-top (ACD) tube(s). Send 3 mL EDTA or ACD bone marrow refrigerate.   DNA 1 ug previously isolated DNA shipped refrigerate. | Blood 3 mL; Bone Marrow 1 mL | Hemolysis:	NA Thawing:	NA Lipemia:	NA Icterus:	NA Other:	NA | Negative  Test Performed by:	Laboratory for Personalized Molecular Medicine 			6330 [NAME], Suite 106 			San Diego, CA 92121 | Varies | 3 - 5 days | 5 - 7 days |  | Profile |  |  |  |  | Laboratory for Personalized Molecular Medicine
FFLT3 | [NAME] | VARIES | Varies |  |  |  | Refrigerated | 7 days
FFLT3 | Order Question | Z3005 | Reason for Referral |  | Plain Text
FFLT3 | Order Question | Z1003 | [NAME] |  | Plain Text
FFLT3 | Result | Z3005 | Reason for Referral | Reason for Referral | Alphanumeric |  |  |  |  |  |  |  |  |  |  |  |  |  |  | In Process
FFLT3 | Result | Z1003 | [NAME] | [NAME] | Alphanumeric |  |  |  |  |  |  |  |  |  |  |  |  |  |  | In Process
FFLT3 | Result | Z1004 | FLT3 Internal Tandem Duplication | FLT3 Internal Tandem Duplication | Alphanumeric |  |  |  |  |  |  |  |  |  |  |  |  |  |  | In Process
FFLT3 | Result | Z1005 | FLT3 D835 Variant | FLT3 D835 Variant | Alphanumeric |  |  |  |  |  |  |  |  |  |  |  |  |  |  | In Process
FFLT3 | Result | Z1006 | Comment | Comment | Alphanumeric |  |  |  |  |  |  |  |  |  |  |  |  |  |  | In Process
FFLT3 | Result | [NAME] | Interpretation | Interpretation | Alphanumeric |  |  |  |  |  |  |  |  |  |  |  |  |  |  | In Process
FFLT3 | Billing Component | FFLT3 |  | UNLISTED MOLECULAR PATHOLOGY |  |  |  |  |  |  |  |  |  |  |  |  |  | 1 | 81479
FFLT3 | Billing Component | FFLT3 |  | FLT3 GENE |  |  |  |  |  |  |  |  |  |  |  |  |  | 1 | 81245
Spreadsheet: michelle_lokay__26792__imball0203
Sheet: WTG inc

 | contract 21816
 | 10518 |  | 13276 |  | 13475 |  | 500176 |  | 500390 |  | 500612
 | WTX Gas Parmer |  | Fred Born #1 |  | WTX Water Systems |  | [NAME] |  | [NAME] |  | TW/WTG Hansford
Day | Measured | Scheduled | Measured | Scheduled | Measured | Scheduled | Measured | Scheduled | Measured | Scheduled | Measured | Scheduled
1 |  |  |  |  |  |  |  |  |  |  | -802 | -906
2 |  |  |  |  |  |  |  |  |  |  | -799 | -906
3 |  |  |  |  |  |  |  |  |  |  | -812 | -906
4 |  |  |  |  |  |  |  |  |  |  | -801 | -906
5 |  |  |  |  |  |  |  |  |  |  | -684 | -906
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
2002-02-28 00:00:00 |  |  |  |  |  |  |  |  |  |  |  |  | 20990
2002-03-05 00:00:00
CBS Volume
 |  |  | 6566
Spreadsheet: errol_mclaughlin_jr__10265__NYMEXexemptemail
Sheet: Exchange Positions

Futures/Exchange Option Exposure (in Contracts)
Natural Gas Through 2003
as of June 30, 2000
 | FUTURES |  | Exchange Calls |  | Exchange Puts
 | Long | Short | Long | Short | Long | Short
2000-08-01 00:00:00 | 30357 | -44451 | 5572.70673654 | -5747.65405494 | -242.66677198 | 460.97231277
2000-09-01 00:00:00 | 24539 | -30418 | 1306.24486694 | -1520.33853247 | -31.23198286 | 159.33141505
2000-10-01 00:00:00 | 37005 | -37076 | 1996.00606945 | -3739.40293852 | -258.69138796 | 281.91291397
2000-11-01 00:00:00 | 21566 | -21880 | 703.49638575 | -494.99626893 | -102.68528221 | 410.95793743
2000-12-01 00:00:00 | 28127 | -33529 | 1195.45545634 | -1263.16013923 | -75.34300504 | 438.28211033
2001-01-01 00:00:00 | 28608 | -33061 | 1266.97973605 | -1426.0002261 | -517.22810984 | 480.31622776
2001-02-01 00:00:00 | 10359 | -14524 | 256.20562676 | -219.80956832 | -198.11281895 | 163.10195044
2001-03-01 00:00:00 | 10278 | -17274 | 1109.49197017 | -472.65565277 | -69.02203785 | 355.64610468
2001-04-01 00:00:00 | 14153 | -9778 | 117.55816314 | -408.1465893 | -239.28759297 | 294.71162445
2001-05-01 00:00:00 | 12719 | -14199 | 0 | 0 | 0 | 0
2001-06-01 00:00:00 | 10063 | -10038 | 156.5637439 | -78.28187195 | -38.14263668 | 19.07131834
2001-07-01 00:00:00 | 8973 | -7704 | 0 | 0 | 0 | 0
2001-08-01 00:00:00 | 3745 | -3689 | 0 | 0 | 0 | 0
2001-09-01 00:00:00 | 3915 | -3626 | 0 | -72.47583439 | 0 | 23.80841431
2001-10-01 00:00:00 | 3695 | -3409 | 0 | 0 | 0 | 0
2001-11-01 00:00:00 | 3093 | -4027 | 0 | 0 | 0 | 0
2001-12-01 00:00:00 | 5018 | -7747 | 0 | -79.49418277 | 0 | 17.01438026
2002-01-01 00:00:00 | 6915 | -8553 | 0 | 0 | 0 | 0
2002-02-01 00:00:00 | 1594 | -2481 | 0 | 0 | 0 | 0
2002-03-01 00:00:00 | 2712 | -2833 | 0 | 0 | 0 | 0
2002-04-01 00:00:00 | 915 | -1213 | 0 | 0 | 0 | 0
2002-05-01 00:00:00 | 1041 | -564 | 0 | 0 | 0 | 0
2002-06-01 00:00:00 | 4400 | -1582 | 0 | 0 | 0 | 0
2002-07-01 00:00:00 | 541 | -595 | 0 | 0 | 0 | 0
2002-08-01 00:00:00 | 1010 | -1253 | 0 | 0 | 0 | 0
2002-09-01 00:00:00 | 765 | -514 | 0 | -182.21844726 | 0 | 96.77959504
2002-10-01 00:00:00 | 2005 | -243 | 0 | 0 | 0 | 0
2002-11-01 00:00:00 | 124 | -215 | 0 | 0 | 0 | 0
2002-12-01 00:00:00 | 575 | -2091 | 0 | -130.07042871 | 0 | 73.03599638
2003-01-01 00:00:00 | 454 | -5919 | 0 | 0 | 0 | 0
2003-02-01 00:00:00 | 2479 | -140 | 0 | 0 | 0 | 0
2003-03-01 00:00:00 | 369 | -20 | 0 | -57.51426992 | 0 | 34.15469493
2003-04-01 00:00:00 | 459 | -1800 | 0 | 0 | 0 | 0
2003-05-01 00:00:00 | 3429 | -375 | 0 | 0 | 0 | 0
2003-06-01 00:00:00 | 929 | 0 | 0 | 0 | 0 | 0
2003-07-01 00:00:00 | 150 | 0 | 0 | 0 | 0 | 0
Spreadsheet: 984cc1c1-37db-4a60-868c-90faab24f0f2
Sheet: Лист1

Ամառային
155/R12C | MAXMILER CX
155/70R12 | GTR-378
165/65R13 | CHAMP. BXT
175/70R13 | GTR-378
185/65R13 | CHAMP. GTX-65
185/70R13 | CLASSIRO
175/70R14 | CLASSIRO
175/70R14 | GTR-378
185/65R14 | CHAMP. GTX-65
185/70R14 | CLASSIRO
185/70R14 | GTR-378
195/60R14 | CHAMP. GTX-60
195/65R14 | CHAMP. BXT
195/65R14 | CHAMP. GTX-65
195/70R14 | CLASSIRO
205/70R14 | CLASSIRO
205/70R14 | GTR-378
175/R14C | MAXMILER CX
185/R14C | MAXMILER CX
195/R14C | MAXMILER CX
205/R14C | MAXMILER CX
185/65R15 | CHAMP. BXT
195/50R15 | CHAMP.BAX
195/50 ZR15 | CHAMP. HPZ-50
195/60R15 | CHAMP. GTX-60
195/60R15 | CHAMP.BAX
195/65R15 | CHAMP. GTX-65
205/60R15 | CHAMP.BAX
205/60R15 | CHAMP. GTX-60
205/65R15 | CHAMP. GTX-60
205/70R15 | CLASSIRO
205/70R15 | SAVE. A/T PLUS
215/70R15 | CLASSIRO
225/60R15 | CHAMP. GTX-60
235/70R15 | SAVE. A/T PLUS
235/75R15 | SAVE. A/T PLUS
195/70R15C | MAXMILER CX
195/R15C | MAXMILER CX
205/55R16 | CHAMP. BAX
205/60R16 | CHAMP. BAX
215/55R16 | CHAMP. BAX
215/60R16 | CHAMP. BAX
215/65R16 | CHAMP. BXT
225/55 ZR16 | CHAMP. HPX
225/75R16 | SAVE. A/T PLUS
235/60R16 | CHAMP. HPX
235/85R16 | SAVE. M/T
245/70R16 | SAVE. A/T PLUS
245/75R16 | SAVE. A/T PLUS
265/75R16 | SAVE.  A/T
185/75R16C | MAXMILER CX
195/75 R16C | MAXMILER CX
215/65R16C | MAXMILER CX
225/75R16C | MAXMILER CX
215/45 ZR17 | CHAMP. HPX
215/55 ZR17 | CHAMP. HPX
225/45 ZR17 | CHAMP. HPX
225/50 ZR17 | CHAMP. HPX
225/65 R17 | CHAMP. HPY
235/45 ZR17 | CHAMP. HPY
235/45 ZR17 | CHAMP. HPX
235/55 R17 | CHAMP. HPX
245/45 ZR17 | CHAMP. HPX
275/65R17 | SAVE. A/T PLUS
235/40 ZR18 | CHAMP. HPY
235/55 ZR18 | CHAMP. HPY
235/60 R18 | CHAMP. HPY
245/40 ZR18 | CHAMP. HPY
245/45 ZR18 | CHAMP. HPX
255/35 ZR18 | CHAMP. HPX
255/55 ZR18 | CHAMP. HPY
255/50 ZR19 | CHAMP. HPY
255/35 ZR20 | CHAMP. HPY
Ձմեռային
165/70R14C | MAXMILER WT
205/55 R16 ø | CHAMP. ICE PRO
205/60 R16 | CHAMP. WT-AX
215/55 R16 | CHAMP. WT-AX
215/55R16 | CHAMP.WINTER.
215/55 R16 ø | CHAMP.ICE PRO
225/50 R16 | CHAMP.WT-AX
225/55 R16 | CHAMP.WT-AX
225/45 R17 | CHAMP.WT-AX
225/50 R17 | CHAMP.WT-AX
225/55 R17 | CHAMP.WT-AX
235/45 ZR17 | CHAMP.WT-AX
235/55 R17 | CHAMP.WT-AX
Բեռնատար
13R22.5  18PR | GT01
13R22.5  18PR | GT686
295/80R22.5 16PR | GT659+
315/70R22.5 18PR | GT279
315/70R22.5 18PR | GT679
315/80R22.5 18PR | GT279
315/80R22.5 18PR | GT679
315/80R22.5 18PR | GT686
385/65R22.5 18PR | GT269
385/65R22.5 18PR | GT978
385/65R22.5 18PR | GT988+
385/55R22.5 18PR | GT259