tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 39629e62-e8c5-446f-940b-043c6c4065c9
Sheet: Sheet1

Table 2--World cotton supply and use estimates | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7
 |  |  |  |  | 2012/13
Item | 2010/11 |  | 2011/12 |  | May |  | June
 | Million 480-lb. [NAME]
Supply:
Beginning stocks--
World | 47.82 |  | 49.51 |  | 66.88 |  | 67.32
Foreign | 44.87 |  | 46.91 |  | 63.48 |  | 64.12
Production--
World | 116.4 |  | 123.07 |  | 116.69 |  | 115.29
Foreign | 98.3 |  | 107.49 |  | 99.69 |  | 98.29
Imports--
World | 35.92 |  | 43.4 |  | 37.64 |  | 36.97
Foreign | 35.91 |  | 43.38 |  | 37.63 |  | 36.97
Use:
[NAME] use--
World | 114.67 |  | 106.12 |  | 109.96 |  | 109.01
Foreign | 110.77 |  | 102.72 |  | 106.46 |  | 105.51
Exports--
World | 36.66 |  | 43.42 |  | 37.62 |  | 36.95
Foreign | 22.29 |  | 31.82 |  | 25.62 |  | 25.15
Ending stocks--
World | 49.51 |  | 67.32 |  | 73.75 |  | 74.51
Foreign | 46.91 |  | 64.12 |  | 68.85 |  | 69.61
 | Percent
Stocks-to-use ratio:
World | 43.2 |  | 63.4 |  | 67.1 |  | 68.4
Foreign | 42.3 |  | 62.4 |  | 64.7 |  | 66
 | 3
Last update: 06/13/12.
Source: USDA, World Agricultural Outlook Board.
Spreadsheet: 870021d1716537743-how-to-return-existing-data-draft1
Sheet: Sheet1

Scenario 1
 | Existing Data System | New Data system |  |  | 2024-05-31 00:00:00 | 2024-06-01 00:00:00 | 2024-06-15 00:00:00 | 2024-06-30 00:00:00
 | return 308 |  |  |  | 50 | 308 |  | 70
 | return "-" |  |  |  | 50 |  | -
 | return 25 |  |  |  | 50 |  | 25 | 30
 | return 45 |  |  |  | - |  | 45
 | return "-" |  |  |  | 50 |  | - | 60
 | return 30 |  |  |  | 50 |  | 30 | 50
 | return 30 |  |  |  | 50 |  | 30
 | return 45 |  |  |  |  | 45 |  | -
 | return 50 |  |  |  | 50 |  |  | 70
Scenario 2
 | Existing Data System | New Data system |  |  | 2024-05-31 00:00:00 | 2024-06-01 00:00:00 | 2024-06-15 00:00:00 | 2024-06-30 00:00:00 | 2024-07-07 00:00:00
 | return 70 |  |  |  | 50 | 308 |  | 70
 | return "-" |  |  |  | 50 |  | -
 | return 30 |  |  |  | 50 |  | 25 | 30
 | return 45 |  |  |  | - |  | 45
 | return 60 |  |  |  | 50 |  | - | 60
 | return 50 |  |  |  | 50 |  | 30 | 50
 | return 30 |  |  |  | 50 |  | 30
 | return "-" |  |  |  |  | 45 |  | -
 | return 70 |  |  |  | 50 |  |  | 70
New Level | return blank
New Level | return blank |  |  |  |  |  |  |  | 30
Spreadsheet: a8a6709f-c55c-45e7-bea5-8b9ced449f0c
Sheet: Table 10

Table 10
[NAME] (1,000 tons)
Week ending 9/13/2014 | Corn | Wheat | Soybeans | Other | Total
Mississippi River
Rock Island, IL (L15) |  |  | 0 | 0
Winfield, MO (L25)
Alton, IL (L26)
Granite City, IL (L27)
Illinois River (L8) |  |  |  | 0
Ohio River (L52) |  |  |  |  |  | n/a
Arkansas River (L1)
Weekly total - 2014
Weekly total - 2013
2014 YTD1
2013 YTD
2014 as % of 2013 YTD
Last 4 weeks as % of 20132
Total 2013
1 Weekly total, YTD (year-to-date) and calendar year total includes Miss/27, [NAME], and Ark/1; "Other" refers to oats, barley, sorghum, and rye.
2 As a percent of same period in 2013.
Note:  Total may not add exactly, due to rounding
Source:  U.S. Army Corps of Engineers
Spreadsheet: 36b4807f-b2cc-4aa6-81ed-15b4bd915fb7
Sheet: 2004-05

Table F
Student Numbers by [NAME] and Method of Study
2004-05
 | Full Time |  |  | Part Time |  |  | Total
 | Male | Female | Total | Male | Female | Total | Male | Female | Total
Undergraduate | 5567 | 6321 |  | 141 | 112 |  | 5708 | 6433
%
Graduate | 2281 | 2515 |  | 1273 | 1204 |  | 3554 | 3719
%
Total
Spreadsheet: 1211a8e5-81cd-459a-9bef-985a71de23b4
Sheet: Sheet1

Product Offerings | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8
Implementation Work Sheet
Instructions:
1.  Transfer Step 6's cost analysis needed items to this work sheet's item needed column.
2.  Complete the work sheet from left to right.
3.  Use the completed work sheet as your project plan.
No. | Item needed | Category | Steps to take to implement item | Days to complete steps | Costs | Start date | Finish date | Check no. when complete
1 |  |  | 1 | 1 |  | 1 | 1 | 1
 |  |  | 2 | 2 |  | 2 | 2 | 2
 |  |  | 3 | 3 |  | 3 | 3 | 3
 |  |  | 4 | 4 |  | 4 | 4 | 4
 |  |  | 5 | 5 |  | 5 | 5 | 5
 |  |  | 6 | 6 |  | 6 | 6 | 6
 |  |  | 7 | 7 |  | 7 | 7 | 7
 |  |  | 8 | 8 |  | 8 | 8 | 8
 |  |  | 9 | 9 |  | 9 | 9 | 9
 |  |  | 10 | 10 |  | 10 | 10 | 10
 | Totals |  | ___ No. steps | ___ No. days | 0
2 |  |  | 1 | 1 |  | 1 | 1 | 1
 |  |  | 2 | 2 |  | 2 | 2 | 2
 |  |  | 3 | 3 |  | 3 | 3 | 3
 |  |  | 4 | 4 |  | 4 | 4 | 4
 |  |  | 5 | 5 |  | 5 | 5 | 5
 |  |  | 6 | 6 |  | 6 | 6 | 6
 |  |  | 7 | 7 |  | 7 | 7 | 7
 |  |  | 8 | 8 |  | 8 | 8 | 8
 |  |  | 9 | 9 |  | 9 | 9 | 9
 |  |  | 10 | 10 |  | 10 | 10 | 10
 | Totals |  | ___ No. steps | ___ No. days | 0
3
4
5
6
7
8
9
10
Spreadsheet: 1cd11b2c-12a7-4b11-ae84-d5354438c094
Sheet: 7

 | Oct 19 | Oct 26 | Nov 2 | Nov 9 | Nov 16
Total Interest Rates* | N/A*** | N/A | N/A | N/A | N/A
Cleared** | N/A | N/A | N/A | N/A | N/A
Uncleared | N/A | N/A | N/A | N/A | N/A
Total Cross-Currency | N/A | N/A | N/A | N/A | N/A
Cleared | N/A | N/A | N/A | N/A | N/A
Uncleared | N/A | N/A | N/A | N/A | N/A
Total Credit | N/A | N/A | N/A | N/A | N/A
Cleared | N/A | N/A | N/A | N/A | N/A
Uncleared | N/A | N/A | N/A | N/A | N/A
Total Equities | N/A | N/A | N/A | N/A | N/A
Cleared | N/A | N/A | N/A | N/A | N/A
Uncleared | N/A | N/A | N/A | N/A | N/A
Total Commodities | N/A | N/A | N/A | N/A | N/A
Cleared | N/A | N/A | N/A | N/A | N/A
Uncleared | N/A | N/A | N/A | N/A | N/A
TOTAL | N/A | N/A | N/A | N/A | N/A
Weekly total, estimated swap dollar volumes by asset class and cleared status (value of all trades in millions of USD), all products, tenors, and participant types.
Estimates of weekly event volumes are derived from data published in the 2012 ISDA Operations Benchmarking Survey, which defines an "event" as a new trade, confirmable amendment, partial or full termination, increase, decrease, or novation.
*See Data Dictionary for asset class descriptions.
**See Explanatory Notes for cleared and uncleared descriptions.
***N/A indicates that data are not currently available.
The Commission requests feedback on the format and content of this CFTC Swaps Report table. Submit comments to [EMAIL].
Spreadsheet: 128256d1320875510-working-out-a-tariff-from-a-date-and-time-peak-time_daddy
Sheet: Counts

Month | Peak |  | [NAME]
2011-01-01 00:00:00
Spreadsheet: 175519d1345559580-look-up-value-and-return-all-matching-results-book1
Sheet: Sheet1

Ref | Amount | Select from [NAME]-down > | [NAME] | Non-array alternatives using > | SMALL() | 5 |  | LARGE() |  | [NAME]() | 5
[NAME] | 5 |  | 3 |  | 3 | 3 |  | 3 |  | 3 | 3
Nan | 10
[NAME] | 3
[NAME] | 10
[NAME] | 7
Nan | 2
Spreadsheet: 278251d1384652725-help-excel-test-2
Sheet: Sheet1

Vendor Name: |  | Ship To:
Your company Name |  | Mr. [NAME]
3 |  | Wooden Nickels | 1.99
4 |  | Corks | 5.99
9 |  | Pennies | 0.99
 |  |  | Subtotal
 |  |  |  | 5
 |  |  | Taxes(8%)
 |  |  | TOTAL
Spreadsheet: e74f2c9d-c632-49b8-b46a-3e64eed0771e
Sheet: Sheet1

PROG ID | ATHLETE ID | ATHLETE FIRST | ATHLETE LAST | NATIONALITY | START NUMBER | SWIM | T1 | BIKE | T2 | RUN | POSITION | TOTAL TIME
262490 | 72667 | Gabrielle | De Chassart | ZIM | 64 | 00:09:15 | 00:01:44 | 00:19:52 | 00:00:49 | 00:22:08 | 1 | 00:53:46
262490 | 72666 | Cameryn | [NAME] | ZIM | 63 | 00:09:02 | 00:01:40 | 00:20:08 | 00:00:50 | 00:27:23 | 2 | 00:59:01
Spreadsheet: 868672d1715341029-work-time-difference-between-two-dates-with-conditions-work-time
Sheet: Folha1

Process | Cliente | Ref | Start date | Origin | End Date | Destination | Vehicle | Pax | Driver | Contract | Price | Corrected Start Hour | Corrected End Hour | Time Work | Column1
 |  |  | 09/05/2024 03:30:00 |  | 09/05/2024 04:30:00 |  |  | 2 | [NAME] |  |  | 03:30:00 | 04:30:00
 |  |  | 09/05/2024 05:00:00 |  | 09/05/2024 06:00:00 |  |  | 2 | Sonia Amaral
 |  |  | 09/05/2024 06:15:00 |  | 09/05/2024 07:30:00 |  |  | 4 | [NAME] |  |  | 06:15:00 | 07:30:00
 |  |  | 09/05/2024 [NAME] |  | 09/05/2024 07:30:00 |  |  | 2 | Sonia Amaral
 |  |  | 09/05/2024 08:50:00 |  | 09/05/2024 10:30:00 |  |  | 6 | [NAME] |  |  | 08:50:00 | 11:00:00
 |  |  | 09/05/2024 09:45:00 |  | 09/05/2024 16:30:00 |  |  | 4 | Sonia Amaral
 |  |  | 10/05/2024 10:45:00 |  | 10/05/2024 11:45:00 |  |  | 6 | [NAME] |  |  | 10:45:00 | 13:00:00
Total
Spreadsheet: 8bb57213-8ff5-4512-8ee0-482796698464
Sheet: Page 1

Permit No.: |  |  | WQ0012796 |  |  | Facility Name: |  | Lakeview Packing Company |  |  |  |  |  | County: | Greene |  | Month: |  |  | Year:
Did irrigation occur    at this facility? |  |  |  |  |  | Field Name: |  | 1 |  | Field Name: |  | 2 |  | Field Name: |  | 3 |  | Field Name: |  | 4
 |  |  |  |  |  | Area (acres): |  | 1.26 |  | Area (acres): |  | 1.26 |  | Area (acres): |  | 1.21 |  | Area (acres): |  | 0.81
 |  |  |  |  |  | Cover Crop: |  |  |  | Cover Crop: |  |  |  | Cover Crop: |  |  |  | Cover Crop:
 |  |  |  |  |  | [NAME] (in): |  | 1 |  | [NAME] (in): |  | 1 |  | [NAME] (in): |  | 0.5 |  | [NAME] (in): |  | 0.2
 |  |  |  |  |  | Annual Rate (in): |  | 93.6 |  | Annual Rate (in): |  | 93.6 |  | Annual Rate (in): |  | 52 |  | Annual Rate (in): |  | 26
Day | Weather |  |  | Freeboard |  | Field Irrigated? |  |  |  | Field Irrigated? |  |  |  | Field Irrigated? |  |  |  | Field Irrigated?
 | Weather Code | Temperature | Precipitation | Storage | 5-Day Upset (if applicable) | Volume Applied | Time   Irrigated | Daily   Loading | Maximum Hourly Loading | Volume Applied | Time    Irrigated | Daily   Loading | Maximum Hourly Loading | Volume Applied | Time   Irrigated | Daily   Loading | Maximum Hourly Loading | Volume Applied | Time   Irrigated | Daily   Loading | Maximum Hourly Loading
 |  | ºF | in | ft | ft | gal | min | in | in | gal | min | in | in | gal | min | in | in | gal | min | in | in
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
Monthly Loading:
12 Month Floating Total (in):
Spreadsheet: 877814d1724752175-deleting-rows-columns-with-conditions-sample1
Sheet: Sheet1

1 | 1.72 | 3.25 | 4.33 | 0 | 0 | 1.75 | 0 | 0 | 0 | 0 | 2.05 | 0 | 0 | 0
0 | 2.1 | 3.25 | 3 | 0 | 0 | 1.65 | 0 | 0 | 0 | 0 | 2.15 | 0 | 0 | 0
1 | 1.57 | 3.4 | 5.5 | 0 | 0 | 1.75 | 0 | 0 | 0 | 0 | 2.05 | 0 | 0 | 0
1 | 1.5 | 3.5 | 6 | 0 | 0 | 1.55 | 0 | 0 | 0 | 0 | 2.25 | 0 | 0 | 0
0 | 1.83 | 3.25 | 3.75 | 0 | 0 | 1.6 | 0 | 0 | 0 | 0 | 2.2 | 0 | 0 | 0
1 | 3.25 | 3.25 | 2 | 0 | 0 | 1.8 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0
0 | 2.25 | 3.25 | 2.75 | 0 | 0 | 1.65 | 0 | 0 | 0 | 0 | 2.15 | 0 | 0 | 0
0 | 1.4 | 3.75 | 7.5 | 0 | 0 | 1.7 | 0 | 0 | 0 | 0 | 2.1 | 0 | 0 | 0
1 | 3.1 | 3.2 | 2.25 | 0 | 0 | 1.9 | 0 | 0 | 0 | 0 | 1.9 | 0 | 0 | 0
0 | 1.9 | 3.1 | 4.33 | 0 | 0 | 2.05 | 0 | 0 | 0 | 0 | 1.75 | 0 | 0 | 0
1 | 1.8 | 3.1 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0
0 | 2.25 | 3.2 | 3.1 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 1.8 | 0 | 0 | 0
0 | 2.1 | 3.25 | 3.4 | 0 | 0 | 1.9 | 0 | 0 | 0 | 0 | 1.9 | 0 | 0 | 0
0 | 2.1 | 3.25 | 3.4 | 0 | 0 | 2.2 | 0 | 0 | 0 | 0 | 1.61 | 0 | 0 | 0
1 | 2.4 | 3.2 | 2.87 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 1.8 | 0 | 0 | 0
1 | 2.3 | 3.25 | 3 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 1.8 | 0 | 0 | 0
1 | 1.33 | 4.33 | 7.5 | 0 | 0 | 1.85 | 0 | 0 | 0 | 0 | 1.79 | 0 | 0 | 0
1 | 2.1 | 3 | 3.25 | 0 | 0 | 2.3 | 0 | 0 | 0 | 0 | 1.5 | 0 | 0 | 0
0 | 1.72 | 3.25 | 4.33 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 1.65 | 0 | 0 | 0
0 | 1.83 | 3.1 | 4 | 0 | 0 | 2.1 | 0 | 0 | 0 | 0 | 1.6 | 0 | 0 | 0
0 | 1.66 | 3.4 | 4.5 | 0 | 0 | 2.1 | 0 | 0 | 0 | 0 | 1.6 | 0 | 0 | 0
1 | 1.61 | 3.4 | 5 | 0 | 0 | 1.9 | 0 | 0 | 0 | 0 | 1.75 | 0 | 0 | 0
Spreadsheet: 126413d1319673594-depth-of-liquid-in-hemisphere-ef798375-depth-of-liquid-in-hemisphere
Sheet: Sheet1

 | k = h/r | V | k
 | 0
Spreadsheet: 174a123a-b730-4784-8753-600da4111155
Sheet: Bill Botzow

[NAME]
Fair Share Fee: Those Who Don't Pay Their Fair Share
Agree
Explain your fair share position, if you choose.
I agree with the fairness principle in the NEA position. However, this is a very contentious issue locally. I would like to see the
NEA reach out to local citizen education governance leaders and their lead management teams. Many individuals in leadership
positions on school matters have expressed their principled concerns and have real differences and experiences on this issue.
While the NEA may not be able to reach agreement on the issue with those concerned, it can listen and build mutual respect and
understanding that will serve all sides well on this and other public employee/employer relations in the years ahead.
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 support universal healthcare and a well thought out sustainable single payer system that offers excellent care for Vermonters.
Teachers have byin large long supported this goal through their contract negotiations and communities have resourced this need in
supporting school budgets. As we go through health care reform in VT and nationally, those who have care need to sustain that
care and where possible have avenues to make improvements.
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] | ? | State Representative Bennington-1 (Pownal and Woodford) | Yes |  | Bennington
Spreadsheet: 844800d1696473430-sumif-data-that-automatically-adjust-references-at-x-and-y-column-based-on-column-o-data-sumif-formula
Sheet: Sheet1

 |  |  |  |  |  |  |  |  |  |  |  |  | 8661.3894 | 1 | 2921 | 0 | 2921
 |  |  |  |  |  |  |  |  |  |  |  |  |  | 2 | 2919 |  | 2919
 |  |  |  |  |  |  |  |  |  |  |  |  |  | 3 | 724 |  | 724
 |  |  |  |  |  |  |  |  |  |  |  |  |  | 4 | 1415.25 |  | 1415.25
 |  |  |  |  |  |  |  |  |  |  |  |  |  | 5 |  | 683 | 683
 |  |  |  |  |  |  |  |  |  |  |  |  | 37466.9817 | 1 | 11981 |  | 11981
 |  |  |  |  |  |  |  |  |  |  |  |  |  | 2 | 7657 |  | 7657
 |  |  |  |  |  |  |  |  |  |  |  |  |  | 3 | 8832.24 |  | 8832.24
 |  |  |  |  |  |  |  |  |  |  |  |  |  | 4 | 6393.42 |  | 6393.42
 |  |  |  |  |  |  |  |  |  |  |  |  |  | 5 |  | 2603 | 2603
 |  |  |  |  |  |  |  |  |  |  |  |  | 38647.5 | 1 | 29764.5 |  | 29764.5
 |  |  |  |  |  |  |  |  |  |  |  |  |  | 2 |  | 8883 | 8883
 |  |  |  |  |  |  |  |  |  |  |  |  | 30.3 | 1 | 30.3 |  | 30.3
 |  |  |  |  |  |  |  |  |  |  |  |  | 2441.25 | 1 |  | 2441.25 | 2441.25
Spreadsheet: sally_beck__33811__ICE New User Enrollment Form
Sheet: Location 3

 | The ICE
 | New User Enrollment Form
 |  |  |  | Precious Metals
 |  |  |  | Oil
 |  |  |  | Natural Gas
 |  |  |  | Electric Power
 |  |  | Company | Commodity Type(s) |  | Location 3:
 |  |  |  | All |  | Address: |  |  | What is your favorite sports team?
 |  |  | Commodity 1 |  |  | Company: |  |  | What is your favorite sports team?
 |  |  | Commodity 2 |  |  | City: |  |  | What is your library card number?
 |  |  | Commodity 3 |  |  | State/Prov./Postal Code: |  |  | Who was your favorite teacher?
 |  |  | Commodity 4 |  |  | Country |  |  | What is your dream vacation destination?
 |  |  |  |  |  |  |  |  | What is your favorite movie?
User | Primary Contact for | First Name | Last Name | Commodity Type(s) | User Type | Title | Phone | E-mail Address | Secret Question (Choose One) | Secret Question Answer (Minimum 5 characters)
1 * | Technical
2
5
 |  |  |  |  | View-Only
 |  |  |  |  | Trader
 |  |  |  |  | Risk Manager
 |  |  |  |  | Super User
 |  |  |  |  | Accounting-Only
Spreadsheet: 881688d1729820927-fleet-tracker-fleet-tracker-eba
Sheet: Inventory

Trailer Inventory
A1234
B4368
A1235
[NAME]
A1236
B4370
A1237
B4371
A1238
B4372
A1239
[NAME]
A1240
B4374
A1241
B4375
A1242
B4376
A1243
[NAME]
A1244
B4378
A1245
Spreadsheet: 114008d1309881747-summarising-multiple-tabs-into-a-table-example
Sheet: C

 | Name | [NAME] |  | ID | 23179
 | COST ANALYSIS
 | CHARGE NUMBER |  |  |  |  |  |  | BASIC | O/T
 | 1000-001 (Annual Leave)
 | 1000-001 (Statutory Leave)
 | 1000-003 (Training)
 | 1000-002 (Sick)
 | 1624-32-002 |  |  |  |  |  |  | 27 | 1
 | 1718-154-56 |  |  |  |  |  |  | 5 | 2
 | 1625-22-997 |  |  |  |  |  |  | 5 | 1
 | SUB TOTALS |  |  |  |  |  |  | 37 | 4
 | TOTAL |  |  |  |  |  |  | 41
Spreadsheet: 0b405207-99c7-4a3a-bc47-07e0b78c73c5
Sheet: 14c

 | Swap Dealers/MSPs4 |  | Others
Product1 | Cleared2 | Uncleared | Cleared
Index Tranche | 24 | 57 | 0 | 79
Index | 5676 | 3198 | 3827 | 2962
OTHER* | 35 | 231 | 23 | 113
TOTAL
*OTHER variable includes exotic credit products, swaptions, and total return swaps.
Spreadsheet: daren_farmer__6569__egmnom-Feb
Sheet: EGM 201

 | Nomination Change
 | ATTN: Transportation Specialist
HOUSTON PIPE LINE COMPANY
HPL Contract # |  | 012-27106-02-001
Shipper: | Entex Gas Marketing | Effective Dates:
Nominator: | Troy Benoit | Start:
Telephone: | (713)207-3376 | 2000-02-01 00:00:00
Fax: | (713)646-5799 | Stop:
 |  | 2000-02-29 00:00:00
RECEIPTS |  |  | FEB
METER # | [NAME] | SUPPLIER | 1
35 | MOSS BLUFF |  | 0
71 | TEXOMA |  | 0
584 | VALERO - AGUA DULCE |  | 0
644 | LONE STAR KATY |  | 0
701 | WESTERN HEADER |  | 0
4045 | EXXON CLEAR LAKE | SUPERIOR
4132 | EXXON KATY | ECT | 10000
4132 | EXXON KATY | ECT | 9500
4132 | EXXON KATY |  | 0
4132 | EXXON KATY  (AQ SS) |  | 0
4132 | EXXON KATY |  | 0
4531 | NEEDVILLE |  | 0
6269 | PG&E THOMPSONVILLE |  | 0
6351 | TEJAS THOMPSONVILLE |  | 0
6721 | PAWNEE PLANT |  | 0
6780 | [NAME] |  | 0
7038 | TRANS TX AUGA DULCE |  | 0
7285 | MOSS BLUFF |  | 0
8740 | MID TX KATY |  | 0
6040 | VALERO RIVERSIDE |  | 0
7038 | [NAME] | CONOCO | 0
9643 | EXXON KING RANCH |  | 0
98675710 | CROW OCONNER | [NAME] | 150
ZZZZ | FORCED PAYBACK | ENTEX/HPL | 0
 |  | RECEIPT TOTAL
DELIVERIES
METER # | [NAME] | MARKET
35 | MOSS BLUFF
522 | HARDY
1000 | FORMOSA PLANT | FORMOSA
1060 | SHELL DEER PARK
1063 | LYONDELL/CITGO
1168 | [NAME]
1233 | TX CITY
1244 | KOCH REFINERY
1427 | GSU SABINE | ENTERGY | 13000
4132 | EXXON KATY HPL | AMOCO
7340 | LUFKIN CHAMPION | DONAHOE
1264 | WINNIE PIPELINE
1319 | ENERCORP
1326 | ENTERPRISE | ENTERPRISE
1373 | LYONDELL
1394 | HILL PETRTO | DYNEGY
1412 | HL&P PH ROBINSON
1427 | GSU SABINE | RES
1428 | DUPONT BEAUMONT | DUPONT
1431 | MARATHON TX CITY
1485 | OXY BATTLE GROUND | OXY
1507 | SABINE PIPELINE
1508 | IGS DODGE STREET
1563 | DESTECH
3069 | BAMMEL STORAGE | MIDCON/ENTEX
4132 | EXXON KATY HPL | RES
4531 | NEEDVILLE
3537 | [NAME] | KET
8020 | BAYPORT PLANT
 | HUNTSMAN | ENTEX
ZZZZ | IMBALANCE |  | 0
 |  | DELIVERY TOTAL
 |  | BALANCE
Spreadsheet: 137884d1327420257-two-dimentional-search-for-non-exact-results-prova-bis
Sheet: GREETINGS

1900 | 900
 |  | 0 | 915 | 1120 | 1830 | 2135
 | 0 | 1 | 1 | 2 | 3 | 4
 | 305 | 1 | 1 | 2 | 3 | 4
 | 610 | 2.25 | 2.25 | 3.25 | 4.25 | 5.25
 | 1525 | 3.5 | 3.5 | 4.5 | 5.5 | 6.5
 |  | 6.5
Spreadsheet: 182234d1348377917-pivot-dates-not-sorting-september-2012-week-3
Sheet: Feb - 2012

Actual Production vs Production Capacity
Months | Feb
Row Labels | Sum of Quantity | Sum of Capacity | Sum of Percentage
13-Feb | 23856 | 20000 | 1.1928
14-Feb | 704 | 20000 | 0.0352
15-Feb | 20100 | 20000 | 1.005
16-Feb | 26502 | 20000 | 1.3251
1-Feb | 27814 | 20000 | 1.3907
20-Feb | 8852 | 20000 | 0.4426
21-Feb | 23297 | 20000 | 1.16485
22-Feb | 24282 | 20000 | 1.2141
23-Feb | 14045 | 20000 | 0.70225
26-Feb | 10806 | 20000 | 0.5403
27-Feb | 13516 | 20000 | 0.6758
28-Feb | 9550 | 20000 | 0.4775
29-Feb | 19522 | 20000 | 0.9761
2-Feb | 17360 | 20000 | 0.868
6-Feb | 11472 | 20000 | 0.5736
7-Feb | 25959 | 20000 | 1.29795
8-Feb | 27340 | 20000 | 1.367
9-Feb | 18738 | 20000 | 0.9369
Grand Total | 323715 | 360000 | 0.8992083333333334
Average per day:
Spreadsheet: eric_saibi__9766__012302
Sheet: Unit 09 ST 

Owner Name | NRG Energy Incorporated
Station Name | Long Beach Power Station
Unit Name | Unit 09 ST
NERC Region | WSCC
State | CA
Fuel Type | Natural Gas / Jet Fuel
Capacity | 63 MW
Start Date | 2002-01-22 00:00:00
End Date | 2002-02-12 00:00:00
Comments | [NAME]
SIC | 4931
Plant ID | 1021594
Unit ID | 1007069
Outage ID | 19599
Spreadsheet: 856569d1705770932-compare-planned-vs-actual-values-monthly-and-generate-a-table-20240121_o365_compare-planned-vs-actuals-excelforum
Sheet: Actual

 | Activity | Date | Actual
 | Activity 1 | 2023-01-02 00:00:00 | 50
 | Activity 1 | 2023-01-08 00:00:00 | 100
 | Activity 2 | 2023-03-03 00:00:00 | 200
 | Activity 1 | 2023-02-06 00:00:00 | 100
 | Activity 2 | 2023-03-05 00:00:00 | 50
 | Activity 1 | 2023-02-05 00:00:00 | 100
 | Activity 1 | 2023-03-30 00:00:00 | 600
 | Activity 2 | 2023-01-10 00:00:00 | 100
Spreadsheet: 762940d1641913429-cond-formatting-first-monday-on-the-month-sddo-vacation-tracker-2023
Sheet: Sep

Formation /Training
Congés / Leaves | V
Congés fériés / GC holidays
Fin de semaine / Weekend
T:  Tentative | T
Compressed Day / Journée comprimée
Assignment / Left
Half Day / Demie Journée
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Enter year:
September | Dates of Leave |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2023
09 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Total Vacation
Employee Name | 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 |  | Replaced by:
[NAME]
[NAME]
[NAME]
[NAME]
[NAME]
(Vacant CS-03)
[NAME]
[NAME]
[NAME]
(Vacant team lead)
(Vacant CS-03)
Sameer [NAME]
[NAME]
[NAME]
[NAME]
[NAME]
[NAME]
September Total
Spreadsheet: 26798d1219322151-will-sumif-do-this-example-template
Sheet: Sheet1

 | All Items Shown as a Percentage of Total Brand Sales by Region.
 | Bread |  | Milk | Juice
Atlantic
Connecticut |  |  | 20.1322971866828 | 1.670090906899111
Delaware |  |  | 2.77856577067153 | 0.8879566441012168
Georgia | 38.62848962061561 | Column B Shows the Result that I would like to see | 19.97387598951867 | 32.1963291884062
Maine |  |  | 0.611927371020253 | 0.6235310139725944
Massachusetts | 12.72211882605584 |  | 13.37741224980386 | 46.08916578209843
New Hampshire |  |  | 2.2324017053887 | 0.05212925187355789
New Jersey | 12.97523264137437 |  | 24.07934204964695 | 7.354655500580915
North Carolina | 9.009878310665714 |  | 12.30087335634231 | 7.370163953013301
Rhode Island |  |  | 0.5157565632043538 | 2.520579651216208
Tennessee | 9.81617752326414 |  | 3.578264188688183 | 1.23539810783848
Vermont |  |  | 0.4192835690323955 | 0
Central | Bread |  | Milk | Juice
Arkansas | 2.349567399344988 |  | 2.128928712190178 | 0
Illinois | 24.50980072670392 |  | 27.15634238351489 | 32.92692317668649
Indiana | 6.429863294934254 |  | 6.305952738663394 | 11.0973357931665
Iowa | 0.6517523992635197 |  | 2.034771740421103 | 0.2999137545311294
Kansas | 4.977433073175499 |  | 2.715444697970189 | 0.2135061701175661
Kentucky | 16.32704935395043 |  | 5.015126994842829 | 14.09756761839298
Michigan | 9.518192038844443 |  | 8.091200141820803 | 10.334501105628
Minnesota | 8.69014061558014 |  | 10.44317328506372 | 6.53447224906135
Missouri | 8.700568653968356 |  | 8.940285302871592 | 1.085444618088204
Nebraska | 2.112655402212699 |  | 1.620904743136548 | 2.384030646322246
North Dakota | 1.534551024065957 |  | 0.730120698199868 | 0.1066314984015407
Ohio | 4.540107213269678 |  | 6.36231312851451 | 5.459605670153231
South Dakota | 1.155231127694589 |  | 1.599609323825839 | 2.287815071557801
West Virginia | 0.6191647793003437 |  | 0.6578166174512058 | 0
Wisconsin | 7.883922897691168 |  | 16.19800949151333 | 13.17225262789295