tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 174a123a-b730-4784-8753-600da4111155
Sheet: Donna Sweaney

[NAME]
Fair Share Fee: Those Who Don't Pay Their Fair Share
Agree
Explain your fair share position, if you choose.
No response
Teachers' Retirement: Support in the State Budget
Agree
Explain your teachers' retirement position, if you choose.
No response
Health Care: Continuing System Reform
Agree
Explain your health care reform position, if you choose
I believe strongly in a single payer model of health care. Until such time that it can happen, I believe that negotiations should
continue. However, it will become necessary that we are all in the one system and negotiations for special groups must end.
Teaching Career: Retaining New Teachers
Agree
Explain your teaching career position, if you choose
No response
Teaching Profession: Simplifying Professional Relicensing
Agree
Explain your relicensing position, if you choose
No response
Name | email address | Address | Office sought | Are you an incumbent? |  | County
[NAME] | [EMAIL] | 2 Runnemede [NAME], VT 05089 | State Representative-Windsor 1 | Yes |  | Windsor
Spreadsheet: paul_y'barbo__28535__ernesto 2001
Sheet: Sheet1

EcoElectrica, LP
Capacity and Energy per kWh
 |  | Jan '01 | Feb '01 | Mar '01 | Apr '01 | Jan-Apr    total
Dispatch Factor %
Capacity Factor %
Capacity Payment |  | 11628821.21 | 11628821.21 | 9501872.3 | 11745109.42
Energy Payment |  | 9016727.08 | 7272993 | 8039049.73 | 8852429.67
Total
kWhs Generated |  | 247597364 | 191892220 | 220858600 | 245007750
Monthly:
Capacity Payment per kWh
Energy Payment per kWh
Capacity & Energy per kWh
Rolling Average:
Capacity Payment per kWh
Energy Payment per kWh
Capacity & Energy per kWh
Spreadsheet: 714488d1611244124-can-not-use-array-formulas-need-to-pull-a-list-and-cross-check-on-multiple-criteria-example
Sheet: Expense Detail

Year | Acct Period | Fund | Dept | Activity | Object | Sub-Object | Document date | Check # | Transaction Type | Invoice # | Description | GL Amount | Debit or Credit | Vendor # | VENDOR_NAME | timestamp
2020 | 4 | 1000 | 100 | 1000 | 500 | 195 | 2019-10-22 00:00:00 | 5 | IN | 2 |  | 450 | D | 17 | TRACTOR SUPPLY COMPANY | 2020-08-21 00:00:00
2020 | 4 | 1000 | 100 | 5000 | 500 | 195 | 2019-10-22 00:00:00 | 6 | IN | 4 |  | 800 | D | 18 | SMITH FARM | 2020-08-21 00:00:00
2020 | 4 | 1000 | 100 | 1000 | 500 | 195 | 2019-10-22 00:00:00 | 7 | IN | 4 |  | 800 | D | 17 | TRACTOR SUPPLY COMPANY | 2020-08-21 00:00:00
2020 | 4 | 1000 | 100 | 5000 | 500 | 195 | 2019-10-08 00:00:00 | 8 | IN | 7 |  | 55000 | D | 80 | WEST GROUP INC | 2020-08-21 00:00:00
2020 | 4 | 1000 | 100 | 5000 | 500 | 195 | 2019-10-01 00:00:00 | 9 | IN | 8 |  | 3000 | D | 80 | WEST GROUP INC | 2020-08-21 00:00:00
2020 | 4 | 1000 | 100 | 5000 | 500 | 195 | 2019-10-08 00:00:00 | 10 | IN | 9 |  | 13500 | D | 80 | WEST GROUP INC | 2020-08-21 00:00:00
2020 | 4 | 1000 | 100 | 1000 | 500 | 195 | 2019-10-22 00:00:00 | 11 | IN | 10 |  | 700 | D | 17 | TRACTOR SUPPLY COMPANY | 2020-08-21 00:00:00
2020 | 4 | 1000 | 100 | 1000 | 500 | 190 | 2019-10-22 00:00:00 | 12 | IN | 11 |  | 210 | D | 22 | 3M COMPANY INC | 2020-08-21 00:00:00
2020 | 4 | 1000 | 100 | 1000 | 500 | 195 | 2019-10-22 00:00:00 | 13 | IN | 12 |  | 800 | C | 17 | TRACTOR SUPPLY COMPANY | 2020-08-21 00:00:00
2020 | 4 | 1000 | 100 | 1000 | 500 | 195 | 2019-10-22 00:00:00 | 14 | IN | 13 |  | 50 | D | 17 | TRACTOR SUPPLY COMPANY | 2020-08-21 00:00:00
Spreadsheet: 183083d1348690788-summing-and-dividing-numbers-book1
Sheet: Sheet1

User |  | Step | 2012-07-29 00:00:00 | 2012-08-05 00:00:00 | 2012-08-12 00:00:00 | 2012-08-19 00:00:00 | 2012-08-26 00:00:00 | Total
[NAME] |  | Sourced | 20 | 5 | 20 | 32 | 12 | 89
 |  | Sourced Candidate Submitted to CFR | 8 | 0 | 20 | 8 | 7 | 43
 |  | No Data Entry Required | 0 | 0 | 7 | 0 | 3 | 10
 |  | Entered in SE/Client ATS | 0 | 8 | 0 | 0 | 0 | 8
 |  | Total | 28 | 13 | 47 | 40 | 22 | 150
Spreadsheet: darrell_schoolcraft__7470__MARKET2001
Sheet: NOV01

 |  |  |  | PERCENT
POI | SCHEDULED | ACTUAL | DEVIATION | [NAME]
71374 | 336 | 470
71393 | 435 | 138
71461 | 1400 | 1194
71463 | 1246 | 1188
71464 | 3225 | 2913
71465 | 30 | 8
71466 | 662 | 581
TOTAL
Spreadsheet: 776091d1649495259-how-can-i-add-multiple-rows-of-number-but-not-using-0-daf-running-total-to-ignore-0-aligw
Sheet: Sheet1

Test | 2022-01-01 00:00:00 | 2022-01-02 00:00:00 | 2022-01-03 00:00:00 | 2022-01-04 00:00:00 | 2022-01-05 00:00:00 | 2022-01-06 00:00:00 | 2022-01-07 00:00:00
Daily Total | 23
A Running Total | 5 | 10 | 15 | 20 | 25 | 30
B Running Total | 10 | 20 | 30 | 40
C Running Total | 1 | 2 | 3 | 4 | 5 | 6
D Running Total | 7 | 8 | 9 | 10 | 11 | 12 | 13
Non-FILTER Option:
Spreadsheet: 155333d1336761531-how-to-find-homogeneity-within-population-copy-of-xl0000010
Sheet: Sheet1

Tree | Ergosterol content
96 | 14.98085
149 | 15.35865
136 | 15.74132
93 | 16.51569
147 | 16.97047
95 | 18.56042
137 | 19.44308
100 | 20.90142
135 | 21.78316
142 | 22.26434
148 | 23.36336
133 | 23.46198
145 | 25.2208
143 | 31.67506
92 | 32.84875 |  | Bin | Frequency
99 | 40.28207 |  | 14.98085 | 1
97 | 44.83839 |  | 46.248795 | 17
139 | 45.18359 |  | 77.51674 | 11
150 | 48.0585 |  | 108.784685 | 3
94 | 48.59546 |  | 140.05263 | 7
98 | 49.62676 |  | 171.320575 | 2
19 | 50.05166 |  | More | 3
132 | 54.52165
146 | 56.00245
10 | 57.92411
138 | 60.75949
134 | 73.97188
110 | 75.10279
18 | 76.45913
144 | 81.134
16 | 81.53984
108 | 97.71933
111 | 108.80995
131 | 112.87011
140 | 114.53263
17 | 115.20707
130 | 117.60938
141 | 127.07499
15 | 131.86424
107 | 148.50763
129 | 165.06996
101 | 178.13297
102 | 199.58768
109 | 202.58852
Spreadsheet: 703795d1605180359-eliminating-empty-cells-over-multiple-columns-eliminate-blank-cells-multiple-columns
Sheet: Sheet1

 |  |  |  |  |  |  |  | List of children in all classes
 | Pet Tag | Pet |  | Class 1 | Class 2 | Class 3 |  | [NAME] | [NAME] | [NAME] | [NAME]
 | a | cats |  | [NAME] | [NAME] |  |  |  | d | a | b
 | b | dogs |  | [NAME] |  | [NAME] |  | c | e | b | c
 | c | rabbit |  | [NAME] | [NAME] | [NAME] |  | d | i | c | e
 | d | [NAME] |  |  | [NAME] | [NAME] |  | h | j | d | f
 | e | horse |  | [NAME] | [NAME] |  |  | l | k | f | g
 | f | donkey |  |  | [NAME] | [NAME] |  |  |  |  | j
 | g | piglet |  |  |  | [NAME] |  |  |  |  | l
 | h | monkey |  | [NAME]
 | i | calf |  | [NAME]
 | J | Hen |  |  | [NAME] | [NAME]
 | K | Chicken |  |  |  | [NAME]
 | l | Spider |  |  | [NAME] | [NAME]
Spreadsheet: 772765d1647457069-conditional-formatting-with-partial-static-and-dynamic-text-excel-tms
Sheet: Sheet1 (TMS)

< |  |  | After | I wanted this text to be highlighted
Day 1 |  |  | Day 1
10 00 3 not updated |  |  | 10 00 3 not updated |  |  | Using =LEFT($A4,6)="10 00 "
10 01 1 not updated |  |  | 10 01 1 not updated |  |  | Applied from Row 4 down
Day 2 |  |  | Day 2
10 00 4 not updated |  |  | 10 00 4 not updated
10 01 1 not updated |  |  | 10 01 2 not updated
Day 3 |  |  | Day 3
10 00 5 not updated |  |  | 10 00 5 not updated
10 01 1 not updated |  |  | 10 03 1 not updated
Spreadsheet: 218099d1362344421-combining-two-if-functions-together-test
Sheet: Sheet2

Tax | Receipt | Travel | GST | BC (PST) | ON (HST) | QB (PST) | Total
 |  |  |  |  |  |  | 105
GST | Yes |  |  |  |  |  | 105
HST | Yes |  |  |  |  |  | 112
 | Total
Spreadsheet: 0eb76dc4-6453-4ce0-a89b-3f4c79d3606f
Sheet: Table I.4

Table I.4 الجدول
Total Conventional and Non-Conventional Water Resources (MCM/yr)
مجموع الموارد المائية المتاحة من مصادر تقليدية وغير تقليدية (مليون متر مكعب/سنة)
 | 2005 | 2006 | 2007 | 2008 | Change | Ratio of Non-Conventional to Conventional Water Resources 2007 (percentage)
 |  |  |  |  | 2005-2008 (percentage)
 |  |  |  |  | التغيُّر | نسبة موارد المياه غير التقليدية إلى الموارد التقليدية
 |  |  |  |  | 2005-2008 | في عام 2007
 |  |  |  |  | (بالنسبة المئوية) | (بالنسبة المئوية)
Bahrain | 159a/ | 171a/ | 173a/ | 201a/ | 26 | 76.3 | البحرين
Egyptb/, 1 | 74960 | 75660 | 81175 | 78924 | 4 | 12.9 | مصر
Iraq | 75,0002, 3 | 153,2782, 3 | 1119251 | 70,0842, 3 | -7 | 0.02 | العراق
Jordan | 941c/ | 925c/ | 867d/ | 936c/ | -1 | 11.6 | الأردن
Kuwaitc/ | 507 | 521 | 532 | … | … | 95.5 | الكويت
Lebanon | 4300 | … | 4,503b/ | … | … | 0.04 | لبنان
Omane/ | 136 | 151 | 155 | 160 | 18 | … | عمان
Palestine | 315f/, 4 | 319f/, 4 | 335g/, 4 | 309g/, 4 | -2 | … | فلسطين
Qatar | 154h/ | 164i/ | 168i/ | … | … | … | قطر
Saudi Arabia | 3425 | … | 2,011j/ | 2,010k/, 5 | -41 | 54.4 | المملكة العربية السعودية
The Sudan | 650002 | … | 64,500b/ | … | … | - | السودان
The Syrian Arab Republic | 260002 | … | 16,800b/, 2 | … | … | … | الجمهورية العربية السورية
The United Arab Emiratesc/ | 1264 | 1377 | 1501 | 1769 | 40 | 91.9 | الإمارات العربية المتحدة
Yemen | 4000 | … | 2,100b/, 2 | … | … | … | اليمن
ESCWA | 250761 |  | 277930 |  |  |  | [NAME]
Sources: | a/ | Ministry of Electricity and Water website.
 | [NAME] | ESCWA calculation.
 | c/ | UNSD/UNEP Environment Questionnaire on Environment Statistics 2010.
 | d/ | Water for Life, Water Strategy- [NAME], 2008-2022, Ministry of Water and Irrigation, 2009.
 | e/ | Oman Statistical Yearbook 2010, Ministry of National Economy, Issue 38, November 2010.
 | f/ | Palestine in Figures 2009, PCBS, Ramallah- Palestine, May 2010.
 | g/ | Palestine in Figures 2010, PCBS, Ramallah- Palestine, May 2011.
 | h/ | Qatar in Figures, 26th Issue, October 2008. Statistics Authority.
 | i/ | Statistical Bulletin, the Cooperation Council for the Arab States of the Gulf, No. 18, 2010.
 | j/ | Annual Report (1427-1428 h) 2007, Ministry of Water and Electricity, Kingdom of Saudi Arabia.
 | k/ | Annual Report (1430-1431 h) 2009, Ministry of Water and Electricity, Kingdom of Saudi Arabia.
Notes: | 1 | Includes freshwater from conventional and non-conventional sources.
 | 2 | Includes freshwater from conventional sources only due to unavailability of freshwater from non-conventional sources data.
 | 3 | Freshwater from conventional sources is taken from the renewable freshwater sources only.
 | 4 | Including water purchased from Israel.
 | 5 | Data are for the year 2009.
Spreadsheet: 490351d1479832861-important-maintenance-check-list-that-must-be-done-ssat
Sheet: Battery topping up

Weekly Battery Topping Up Program
Index | model | model id | 2016-11-07 00:00:00 | 2016-11-14 00:00:00 | 2016-11-21 00:00:00 | 2016-11-28 00:00:00 | 2016-12-05 00:00:00 | 2016-12-12 00:00:00 | 2016-12-19 00:00:00 | 2016-12-26 00:00:00 | 2017-01-02 00:00:00 | 2017-01-09 00:00:00 | 2017-01-16 00:00:00 | 2017-01-23 00:00:00 | 2017-01-30 00:00:00 | 2017-02-06 00:00:00 | 2017-02-13 00:00:00
 |  |  | caz | [NAME] | caz | bob | shift b | shift b
1 | eje | 1 | yes | yes | yes | no | yes | yes
2 | eje | 2 | no | yes | yes | yes | yes | yes
3 | eje | 3 | yes | yes | yes | yes | yes | yes
4 | eje | 4 | no | yes | yes | yes | yes | yes
5 | ece | 1 | yes | yes | no | yes | yes | no
6 | ece | 2 | yes | yes | yes | yes | yes | yes
7 | ece | 3 | yes | no | no | yes | no | no
8 | JCB | 5 | yes | yes | yes | yes | yes | yes
9 | JCB | 6 | yes | yes | yes | yes | yes | yes
10 | JCB | 17 | yes | yes | yes | no | yes | yes
 | Print off check list |  |  |  |  | Engineers/shift |  |  | This is a weekly battery topping up program for vehicles. The real list is over a thousand vehicles across many sites. I need to flag up and print off the vehicles that for one week have not been topped up (highlighted in orange hopefully by conditional formatting )and then the red ones are very urgent and need to be done as well. Also i'd like to make the engineer accountable if he didn't manage to top it up. The print off check list is printed off and manually filled out each week and then handed to a manager who enters the completed ones in manually.
 | Date |  | Engineer/shift |  |  | [NAME]
 | model | model id | Completed |  |  | rico
 | eje | 1 |  |  |  | caz
 | eje | 2 |  |  |  | bob
 | eje | 3 |  |  |  | shift a
 | eje | 4 |  |  |  | shift b
 | ece | 1 |  |  |  | shift c
 | ece | 2
 | ece | 3
 | JCB | 5
 | JCB | 6
 | JCB | 17
Spreadsheet: 124683d1318538854-arrays-rpmpeakvalley
Sheet: Sheet1

rpm | Peak | Valley | Both
Spreadsheet: 883706d1732356965-excel-lookup-help-required-motor-claims-kpis-2024-v5
Sheet: Master

DEPARTMENT |  | Claims & Network Management
OWNER |  | Senior Motor Claims Operations Manager
EVALUATOR |  | Deputy Chief Executive Officer
CATEGORY |  | PARTICULARS
 |  | [NAME] | [NAME]
DELIVER FINANCIAL RESULTS |  | Maintain an ideal loss ratio for the motor claims department in line with company standards | Increase the Gross written premium with 4% by providing effective service to the clients
 |  |  | Maintain margin level of Reserves & Outstanding's with 3%
 |  |  | Secure average claims recovery with 5% increment
 |  |  | Maintain healthy combined loss ratio
 |  |  | Maintain and reduce the average cost per claim
ADVANCED  OPERATIONS |  | Improve the internal operations in the motor claims department | Average handling time for claims
 |  |  | Improve the efficiency of the cooperation and communication between the department team members to reduce the cycle time, speed of production and resolving any obstacles through a planned monthly meeting with the team and with other related stakeholders
 |  |  | Improve internal tracking of claims numbers & Cost so that risk are minimized and opportunities are maximized (Timely and Accurate Reporting)
SERVICE OF CUSTOMERS |  | IMPROVE CUSTOMER EXPERIENCE AND SATISFACTION | Average time to handle Direct customer complaints
 |  |  | Average time to handle customer complaints received from IRU
LEARNING & GROWTH |  | IMPROVE THE LEARNING AND GROWTH ENVIRONMENT WITHIN THE DEPARTMENT | Understand, communicate and implement the department KPIs, policies and procedures
 |  |  | Implement personal and behavioral training to the department's employees
 |  |  | Implement technical training to the department's employees in relation to the insurance, underwriting, and Claims
Spreadsheet: 94410d1294239997-2007-pivot-table-using-same-field-in-2-areas-of-report-test
Sheet: Data

Supplier | Spend | Terms
A | 100 | 30
B | 200 | 30
C | 300 | 60
D | 400 | 90
E | 500 | 30
F | 600 | 60
Spreadsheet: 70cb8215-9b6f-45b3-931c-d0f86df41d1e
Sheet: Sheet1

YEAR | GRADE 2 | GRADE 3 | GRADE 4 | GRADE 5
2010 | 72 | 68 | 59 | 39
2009 | 82 | 65 | 68 | 55
2008 | 71 | 70 | 64 | 51
2007 | 71 | 63 | 67 | 55
2006 | 77 | 69 | 62 | 63
Spreadsheet: 871649d1718074210-transposing-year-in-excel-book6
Sheet: Sheet1

 | Existing format
 | YEAR | 2018 | 2019 | 2020 | 2021 | 2022
 | [NAME] | AGE | AGE | AGE | AGE | AGE
 | AB DYNAMICS PLC | 5.564383561643836 | 6.564383561643836 | 7.567123287671233 | 8.567123287671233 | 9.567123287671233
 | Required format
 | [NAME] | YEAR | AGE
Spreadsheet: 695718d1600360899-formula-to-convert-time-text-to-excel-and-add-up-column-adam-timesheet
Sheet: Sheet1

h:m:s:ms
00:00:48:20
00:01:09:23
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00:01:51:16
00:00:36:02
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00:01:03:00
00:00:28:04
Spreadsheet: 599514d1543155649-ifs-formula-not-opening-in-eariler-version-need-to-amend-formula-help-test
Sheet: Lookup Tables

Number of animals | Cage size multiple |  | Animal |  | peregrine
1 | 1 |  | Frog & Toad
2 | 1 |  | Newts and Salamanders
3 | 1 |  | Snakes
4 | 1 |  | Lizards
5 | 2 |  | Terrapins
6 | 2 |  | Tortoises
7 | 2 |  | Crocodilians
8 | 2
9 | 3
10 | 3
11 | 3
12 | 3
13 | 4
14 | 4
15 | 4
16 | 4
17 | 5
18 | 5
19 | 5
20 | 5
21 | 6
22 | 6
23 | 6
24 | 6
25 | 7
26 | 7
27 | 7
28 | 7
29 | 8
30 | 8
31 | 8
32 | 8
33 | 9
34 | 9
35 | 9
36 | 9
37 | 10
38 | 10
39 | 10
40 | 10
41 | 11
42 | 11
43 | 11
44 | 11
45 | 12
46 | 12
47 | 12
48 | 12
49 | 13
50 | 13
51 | 13
52 | 13
53 | 14
54 | 14
55 | 14
56 | 14
57 | 15
58 | 15
59 | 15
60 | 15
61 | 16
62 | 16
63 | 16
64 | 16
65 | 17
66 | 17
67 | 17
68 | 17
69 | 18
70 | 18
71 | 18
72 | 18
73 | 19
74 | 19
75 | 19
76 | 19
77 | 20
78 | 20
79 | 20
80 | 20
81 | 21
82 | 21
83 | 21
84 | 21
85 | 22
86 | 22
87 | 22
88 | 22
89 | 23
90 | 23
91 | 23
92 | 23
93 | 24
94 | 24
95 | 24
96 | 24
97 | 25
98 | 25
99 | 25
100 | 25
101 | 26
102 | 26
103 | 26
104 | 26
105 | 27
106 | 27
107 | 27
108 | 27
109 | 28
110 | 28
111 | 28
112 | 28
113 | 29
114 | 29
115 | 29
116 | 29
117 | 30
118 | 30
119 | 30
120 | 30
121 | 31
122 | 31
123 | 31
124 | 31
125 | 32
126 | 32
127 | 32
128 | 32
129 | 33
130 | 33
131 | 33
132 | 33
133 | 34
134 | 34
135 | 34
136 | 34
137 | 35
138 | 35
139 | 35
140 | 35
141 | 36
142 | 36
143 | 36
144 | 36
145 | 37
146 | 37
147 | 37
148 | 37
149 | 38
150 | 38
Spreadsheet: 456549d1460939017-copy-items-from-dropdown-list-to-new-sheets-meal-choices-16-04-15-new-test-a
Sheet: MON - VOLUNTEER

YOGH | [NAME] |  |  | SOUP | BEEF | QUICHE |  |  | S FISH | STEAMED FISH |  |  |  | BEEF | QUICHE |  |  |  |  |  |  |  | BEEF | QUICHE
B O T T O M |  |  |  |  |  |  |  |  | MIDDLE |  |  |  |  |  |  |  |  | TOP
NAME | ADDRESS | JUICE | DESSERT | SOUP | ROAST BEEF | CHICKEN PIE | SPECIAL ITEM |  | NAME | ADDRESS | JUICE |  |  |  |  |  |  | NAME | ADDRESS | JUICE
PLEASE CHECK FOR NAMES ON LIDS
Client 2
Client 3
Client 4
Client 5
Client 6
Client 7
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | CHICKEN PIE
Client 8
Client 9 |  |  |  |  |  |  |  |  |  |  |  | [NAME] |  |  |  |  |  |  |  |  |  |  |  | CHICKEN PIE
Client 10
Client 11 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | CHICKEN PIE
Client 12
Client 13
Client 14
Client 15
Client 16
Client 17
PLEASE DO NOT LEAVE MEAL IF CLIENT IS NOT AT HOME. MARK SHEET |  |  |  |  |  |  |  |  | PLEASE DO NOT LEAVE MEAL IF CLIENT IS NOT AT HOME. MARK SHEET |  |  |  |  |  |  |  |  | PLEASE DO NOT LEAVE MEAL IF CLIENT IS NOT AT HOME. MARK SHEET
PLEASE PHONE 0438 424858 IF YOU HAVE A PROBLEM |  |  |  |  |  |  |  |  | PLEASE PHONE 0438 424858 IF YOU HAVE A PROBLEM |  |  |  |  |  |  |  |  | PLEASE PHONE 0438 424858 IF YOU HAVE A PROBLEM
Spreadsheet: daren_farmer__5750__HPLN0302
Sheet: Sheet1

HPLN0302.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 - March 02, 2001
 |  |  |  |  |  | *Friday
HPL AND ENRON NOMINATIONS: |  |  |  |  |  | 2001-03-02 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: 1f5cc976-5df5-47b8-8bad-85e416f629fc
Sheet: Sheet1

Table 3--U.S. monthly average farm prices and marketings | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11 | Unnamed: 12
 |  |  | 2012/13 |  |  |  | 2011/12 |  |  |  | 2010/11
Month |  | $/cwt |  | 1,000 cwt |  | $/cwt |  | 1,000 cwt |  | $/cwt |  | 1,000 cwt
August |  | 14.6 |  | 10856 |  | 13.6 |  | 11434 |  | 11.7 |  | 10691
September |  | 14.3 |  | 10630 |  | 14.4 |  | 12704 |  | 11 |  | 15095
October |  | 14.2 |  | 14547 |  | 14.9 |  | 12070 |  | 11.5 |  | 17131
November |  | 14.4 |  | 15772 |  | 15.3 |  | 11404 |  | 12.6 |  | 16929
December |  | 14.6 |  | 15163 |  | 15 |  | 14624 |  | 13.9 |  | 19137
January |  | 14.5 |  | 18693 |  | 15.2 |  | 15053 |  | 14 |  | 21806
February |  | 14.8 |  | 14029 |  | 14.1 |  | 13555 |  | 13.4 |  | 14847
March |  | 15 |  | 13775 |  | 14.1 |  | 14682 |  | 13 |  | 15844
April |  | 15.2 |  | 12444 |  | 14.4 |  | 13311 |  | 13.1 |  | 12727
May |  | 15.3 |  | 11143 |  | 14.1 |  | 13127 |  | 12.7 |  | 14227
June |  | 15.6 |  | 1/ |  | 14.2 |  | 10510 |  | 12.1 |  | 11317
July |  |  |  |  |  | 14.4 |  | 11380 |  | 12.9 |  | 12369
Average price to date |  | 14.77272727272727 | 2/
Season average farm price |  | 14.9 | 3/ |  |  | 14.5 |  |  |  | 12.7
Average Marketings |  |  |  | 13705.2 |  |  |  | 12821.16666666667 |  |  |  | 15176.66666666667
Total volume marketed |  |  |  | 137052 |  |  |  | 153854 |  |  |  | 182120
N/A = Not available.
1/ Mid-month only.  2/ Simple average.  3/ Mid-point of season-average farm price projection range.
Source: Monthly cash price and marketings, Agricultural Prices, National Agricultural Statistics Service, USDA.
Last updated July 12, 2013.
Spreadsheet: 751243d1633998132-count-continuous-instances-and-get-max-value-from-corresponding-column-sample2
Sheet: Sheet1

No. of Days | Flow | Flow Cat | Flow category | Date | helper |  | Date | Description | FORMULAs | Variable
 | 904 | 1 | low | 2015-10-18 00:00:00 |  |  | 2015-11-19 00:00:00 | Low_No. of pulses_15 Days |  | No. of Low Pulses
 | 872 | 1 | low | 2015-10-19 00:00:00 |  |  | 2015-11-19 00:00:00 | Low_Duration of total pulses_15 Days |  | Low-Count
 | 888 | 1 | low | 2015-10-20 00:00:00 |  |  | 2015-11-19 00:00:00 | Low_Max peak discharge pulse_15 Days |  | Low-maxQtyForLow
 | 904 | 1 | low | 2015-10-21 00:00:00 |  |  | 2015-11-19 00:00:00 | Low_Duration of [NAME] continuous pulse_15 Days |  | Low-continuous count
 | 833 | 1 | low | 2015-10-22 00:00:00 |  |  | 2015-11-19 00:00:00 | Low_Max peak discharge in continuous pulse_15 Days |  | Low-maxQtyForContinuousCount
 | 818 | 1 | low | 2015-10-23 00:00:00
 | 810 | 1 | low | 2015-10-24 00:00:00 |  |  |  | Low Flow_No. of pulses_15 Days
 | 787 | 1 | low | 2015-10-25 00:00:00
 | 780 | 1 | low | 2015-10-26 00:00:00
 | 757 | 1 | low | 2015-10-27 00:00:00
 | 735 | 1 | low | 2015-10-28 00:00:00
 | 735 | 2 | low | 2015-10-29 00:00:00
 | 735 | 4 | low | 2015-10-30 00:00:00
 | 61600 | 4 | large | 2015-10-31 00:00:00
 | 57700 | 4 | large | 2015-11-01 00:00:00
 | 10700 | 4 | large | 2015-11-02 00:00:00
 | 4070 | 4 | large | 2015-11-03 00:00:00
1 | 2640 | 4 | large | 2015-11-04 00:00:00
2 | 2220 | 4 | large | 2015-11-05 00:00:00
3 | 2260 | 4 | large | 2015-11-06 00:00:00
4 | 2040 | 1 | low | 2015-11-07 00:00:00
5 | 2060 | 1 | low | 2015-11-08 00:00:00
6 | 1930 | 1 | low | 2015-11-09 00:00:00
7 | 1330 | 1 | low | 2015-11-10 00:00:00
8 | 1150 | 1 | low | 2015-11-11 00:00:00
9 | 1020 | 1 | low | 2015-11-12 00:00:00
10 | 936 | 1 | low | 2015-11-13 00:00:00
11 | 841 | 1 | low | 2015-11-14 00:00:00
12 | 772 | 1 | low | 2015-11-15 00:00:00
13 | 735 | 1 | low | 2015-11-16 00:00:00
14 | 904 | 1 | low | 2015-11-17 00:00:00
15 | 1900 | 1 | low | 2015-11-18 00:00:00
 | 1550 | 1 | low | 2015-11-19 00:00:00