tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: rick_buy__32663__Rac allocations budget pack 29 Nov
Sheet: Total Allocations graph data

 |  |  |  |  |  | NEED TO REFRESH FOR GRAPH ON "Alloc on by Region (IO)"
 | Adaytum
 | Total | TOTAL G&A
Plan 2001 |  | IO Allocations Received | Imputed Average Headcount
 | UK | 46962383.04721924 | 293.4025821256039
 | Teesside | 9099070.079857167 | 94.72873913043479
 | Metals | 95273181.91887456 | 214.0642644927536
 | Credit Markets Group | 30508999.86682391 | 117.8919601449276
 | Spain/Portugal | 6291931.423124697 | 25.004538647343
 | Scandinavia | 9476832.76001701 | 77.65056642512079
 | German Speaking | 8987192.376135513 | 41.49141062801934
 | Central Europe | 10786801.26288932 | 44.87722971014493
 | Continental Power | 20900292.0207908 | 105.6540797101449
 | Continental Gas | 7584789.646406215 | 44.09884782608697
 | Italy | 9825694.786261499 | 33.85259830917875
 | Benelux/France | 1825489.756702312 | 7.615591787439614
 | Poland | 6015362.263283005 | 38.95006714975846
 | FSU | 1046147.036589117 | 7.741243961352657
 | EES (50%) | 27242757.58308506 | 238.7815971014493
 | IT Origination | 8035799.944223164 | 43.65520531400965
 | Corporate Finance Origination | 2286823.175771305 | 8.044685990338165
 | Japan | 288916.6979649601 | 1.434347826086956
 | Australia | 176063.8342367263 | 0.9297644927536228
 | Non Region Specific | 153067122.3453673 | 19.32126207729468
 | Indirect Support | 9910.80039606616 | 0.04468599033816426
 | RECHARGE | 35655140.72209869 | 179.9878586956522
 | Enron Corp | 1844525.820217607 | 8.357282608695654
 | India/APACHI/CALME | 4771094.033818243 | 21.60143115942029
 | EES (50%) - non-EEL | 27242757.58308506 | 238.7815971014493
 | Global Markets | 16899607.26495474 | 126.3370652173913
 | EBS | 21391294.9223533 | 143.9494963768116
 | Total
Spreadsheet: 0b13fa88-726e-4b80-9a70-cc7aaa03942f
Sheet: 48 Month Lease

48 MONTHS |  |  |  | 48 MONTHS
GS-30F-0008L AutoFlex, Inc. |  |  |  | GS-30F-0019P The Bancorp Bank ([NAME])
751-1 |  |  | Autoflex | 751-1 |  |  | Bancorp Bank (Jefferson)
Item # | Make | Model | 48 Months | Item # | Make | Model | 48 Months Price
8E | Mitusbishi | 8E Imiev | 425 | 8E | Ford | 8E Focus BEV | 544
8E | Nissan | 8E Leaf | 550 | 8P | Ford | 8P Cmax PHEV | 472
8E | Ford | 8E Focus BEV | 579
8P | Ford | 8P Cmax PHEV | 507
Spreadsheet: 699748d1602749302-removing-duplicates-in-filter-list-containing-vlookup-formula-duplicates
Sheet: Sheet1

NAMES |  |  | FILTER LIST
[NAME] |  |  |  | [NAME]
[NAME]
[NAME]
[NAME]
[NAME]
[NAME]
Elijah
Lucas
Mason
Logan
[NAME]
[NAME]
[NAME]
[NAME]
[NAME]
[NAME]
[NAME]
[NAME]
Aiden
[NAME]
[NAME]
[NAME]
[NAME]
[NAME]
[NAME]
[NAME]
[NAME]
[NAME]
[NAME]
Jayden
[NAME]
[NAME]
[NAME]
[NAME]
[NAME]
Julian
Mateo
[NAME]
Jaxon
Lincoln
[NAME]
[NAME]
[NAME]
Theodore
Caleb
[NAME]
Asher
Nathan
[NAME]
Leo
[NAME]
[NAME]
Josiah
0
Christian
[NAME]
Connor
Eli
[NAME]
[NAME]
Landon
Adrian
[NAME]
Nolan
Jeremiah
Easton
Elias
Colton
Cameron
[NAME]
[NAME]
[NAME]
Maverick
[NAME]
Dominic
Jaxson
Greyson
Adam
Ian
[NAME]
0
Jordan
Cooper
Brayden
Roman
Ezekiel
Xavier
Jace
Jameson
[NAME]
Axel
[NAME]
Parker
Kayden
[NAME]
Sawyer
. [NAME]
[NAME]
Mason
[NAME]
[NAME]
[NAME]
[NAME]
[NAME]
[NAME]
Spreadsheet: 814196d1674224548-volume-per-year-total-volume-and-growth-rate-know-book1
Sheet: Sheet1

Total Volume for 6 years is 120
The growth rate in each year is 5%.
What is the volume per year?
With the goal seek I get the following result:
17.64209617 | 18.52420098 | 19.45041103 | 20.42293158 | 21.44407816 | 22.51628207
 |  | y1 | y2 | y3 | y4 | y5 | y6
 |  |  |  |  |  |  |  | 120
Spreadsheet: 845240d1696761815-problem-incrementing-or-decrementing-a-cells-value-based-on-a-filters-value-golfscoresmultiplayerold-aligw
Sheet: MthlySummary

Team | AvgOfTotPoints | Rank
2023-11-13 00:00:00 | 98.28571428571429
Team1 | 111 | 1
Team2 | 111 | 2
Team3 | 82 | 3
Team4 | 83 | 4
Team5 | 97 | 5
Team6 | 111 | 6
Team7 | 93 | 7
2023-12-04 00:00:00 | 106.2857142857143
Team1 | 144 | 1
Team2 | 142 | 2
Team3 | 82 | 3
Team4 | 77 | 4
Team5 | 97 | 5
Team6 | 103 | 6
Team7 | 99 | 7
2024-01-08 00:00:00 | 106.4285714285714
Team1 | 144 | 1
Team2 | 140 | 2
Team3 | 83 | 3
Team4 | 80 | 4
Team5 | 97 | 5
Team6 | 102 | 6
Team7 | 99 | 7
2024-02-05 00:00:00 | 92.71428571428571
Team1 | 102 | 1
Team2 | 82 | 2
Team3 | 82 | 3
Team4 | 83 | 4
Team5 | 97 | 5
Team6 | 106 | 6
Team7 | 97 | 7
2024-03-04 00:00:00 | 97
Team1 | 83 | 1
Team2 | 88 | 2
Team3 | 98 | 3
Team4 | 100 | 4
Team5 | 99 | 5
Team6 | 105 | 6
Team7 | 106 | 7
2024-04-08 00:00:00 | 90.71428571428571
Team1 | 96 | 1
Team2 | 57 | 2
Team3 | 96 | 3
Team4 | 98 | 4
Team5 | 82 | 5
Team6 | 104 | 6
Team7 | 102 | 7
2024-05-06 00:00:00 | 91.14285714285714
Team1 | 96 | 1
Team2 | 60 | 2
Team3 | 96 | 3
Team4 | 98 | 4
Team5 | 82 | 5
Team6 | 104 | 6
Team7 | 102 | 7
2024-06-03 00:00:00 | 88.28571428571429
Team1 | 91 | 1
Team2 | 55 | 2
Team3 | 96 | 3
Team4 | 97 | 4
Team5 | 82 | 5
Team6 | 95 | 6
Team7 | 102 | 7
Spreadsheet: 163731d1340434393-excel-2003-summing-and-then-sorting-data-by-date-then-size-example-maxdpriez-oelder3-
Sheet: Sheet1 - new - 

ID | choise |  |  | ID | Large | Small
Data 1 | Small |  |  | Data 1 | 1 | 3
Data 1 | Small |  |  | Data 2 | 1 | 1
Data 2 | Small |  |  | Data 3 | 1 | 1
Data 3 | Large |  |  | Data 4 | 3 | 1
Data 4 | Large
Data 4 | Large |  |  | What works :
Data 1 | Large |  |  | SUMIF(A:A,G2,B:B)
Data 1 | Small
Data 2 | Large |  |  | Whats I want:
Data 3 | Small |  |  | SUMIF(A:A,G2,LEFT(ADDRESS(1,MATCH(H1,1:1,0),1) & ":" & LEFT(ADDRESS(1,MATCH(H1,1:1,0),1))
Data 4 | Large
Data 4 | Small |  |  | Since
 |  |  |  | LEFT(ADDRESS(1,MATCH(H1,1:1,0),4) & ":" & LEFT(ADDRESS(1,MATCH(H1,1:1,0),4)
 |  |  |  | is
 |  |  |  | F:F
 |  |  |  |  | Aantal van choise | choise
 |  |  |  |  | ID | Large | Small | Eindtotaal
 |  |  |  |  | Data 1 | 1 | 3 | 4
 |  |  |  |  | Data 2 | 1 | 1 | 2
 |  |  |  |  | Data 3 | 1 | 1 | 2
 |  |  |  |  | Data 4 | 3 | 1 | 4
 |  |  |  |  | Eindtotaal | 6 | 6 | 12
Spreadsheet: darrell_schoolcraft__7326__imball0202
Sheet: transcol

 | TransColorado
 | 500632
Day | Measured | Scheduled
1 | 75695 | 78800
2 | 94691 | 93799
3 | 94498 | 93799
4 | 94115 | 93799
5 | 111473 | 110461
6 | 94006 | 93799
7 | 94007 | 93799
8 | 96300 | 96299
9 | 94782 | 93799
10 | 95002 | 93799
11 | 93951 | 93799
12 | 90782 | 90776
13 | 95014 | 93799
14 | 94012 | 93799
15 | 94013 | 93799
16 | 103917 | 91798
17 | 91468 | 91798
18 | 89759 | 91798
19 | 91998 | 91798
20 | 90471 | 93799
21 | 83048 | 91226
22 | 94026 | 93799
23 | 94004 | 93799
24
25
26
27
28
29
30
31
2002-01-31 00:00:00 |  |  | 28675
2002-02-23 00:00:00
CBS Volume
 |  |  | -42160
Spreadsheet: 756095d1637270191-conditional-formula-book1
Sheet: Sheet1

date | start | finish | total hours | Can I work? |  |  |  |  |  | 22:00:00
2021-11-01 00:00:00 | 18:00:00 | 03:00:00 | 09:00:00
2021-11-02 00:00:00 | 18:00:00 | 03:00:00 | 09:00:00
2021-11-03 00:00:00 | 18:00:00 | 03:00:00 | 09:00:00
2021-11-04 00:00:00
2021-11-05 00:00:00 | 12:00:00
2021-11-06 00:00:00
2021-11-07 00:00:00 | 18:00:00 | 03:00:00 | 09:00:00
2021-11-08 00:00:00 | 18:00:00 | 03:00:00 | 09:00:00
2021-11-09 00:00:00 | 18:00:00 | 03:00:00 | 09:00:00
2021-11-10 00:00:00
Spreadsheet: 271730d1382029506-formula-for-vacation-time-max-accrual-rate-holiday-accruals
Sheet: Sheet1

 | Jan |  |  | Feb |  |  | Mar |  |  | Apr |  |  | May |  |  | Jun |  |  | Jul |  |  | Aug |  |  | Sep |  |  | Oct |  |  | Nov |  |  | Dec
Total Accrual from previous year | Vacation taken in current month | Monthly Accrual | Rem | Vacation taken in current month | Monthly Accrual | Rem | Vacation taken in current month | Monthly Accrual | Rem | Vacation taken in current month | Monthly Accrual | Rem | Vacation taken in current month | Monthly Accrual | Rem | Vacation taken in current month | Monthly Accrual | Rem | Vacation taken in current month | Monthly Accrual | Rem | Vacation taken in current month | Monthly Accrual | Rem | Vacation taken in current month | Monthly Accrual | Rem | Vacation taken in current month | Monthly Accrual | Rem | Vacation taken in current month | Monthly Accrual | Rem | Vacation taken in current month | Monthly Accrual | Rem
380 | 40 | 10.67 |  |  | 10.67 |  |  | 10.67 |  |  | 10.67 |  |  | 10.67 |  |  | 10.67 |  |  | 10.67 |  |  | 10.67 |  |  | 10.67 |  |  | 10.67 |  |  | 10.67 |  |  | 10.67
Spreadsheet: 290190d1389808729-conditional-formatting-help-needed-please-help-needed-1_dallasarosco
Sheet: Sheet1

 |  | Sales_Name | AgeSegment | Total
 |  | Sellers, [NAME] |  | 2
 |  | Quota, Quinton | 18-24 | 1
 |  | Awesome, [NAME] | 18-24 | 1
 |  | Doe, [NAME] | 18-24 | 1
 |  | Jones, Crystal | 25-30 | 2
 |  | Manager, Maryann | 25-30 | 1
 |  | Associate, [NAME] | 18-24 | 2
 |  | Kent, [NAME] | 25-30 | 1
 |  | [NAME], [NAME] | 18-24 | 4
Spreadsheet: 174a123a-b730-4784-8753-600da4111155
Sheet: John Taylor

[NAME]
Fair Share Fee: Those Who Don't Pay Their Fair Share
I'd like to explain my position
Explain your fair share position, if you choose.
I am  a VSEA retiree.  I didn't agree with my union getting this either.  I've branded it the lazy union's method of
organizing.  I can more fully explain if you'd like. Plus, I think now it will draw Wisconsin-like ire.
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
No response
Teaching Career: Retaining New Teachers
Agree
Explain your teaching career position, if you choose
I believe first and second year teachers should have an assigned mentor.
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] | 407 Weir Rd, Williamstown, Vt 05679 | Representative, Orange 1 | No |  | Orange
Spreadsheet: 730830d1619979119-vpm-mix-sub-calculations-vpm-mix-sub-calculations
Sheet: Sheet3

 | Sales Category 1 |  | 1 |  |  | Sales Cateogry 2 |  | 2
Team
A
B
Spreadsheet: e4924fa0-8860-4a02-94f2-bcbd19ab6774
Sheet: ER - Schedule 2 QTD

Kraft Foods Inc. and Subsidiaries
Reconciliation of GAAP to Non-GAAP Information
Net Revenues
For the Three Months Ended June 30,
($ in millions)  ([NAME])
 |  |  |  |  |  |  |  |  |  |  |  | % Change |  |  |  |  | Organic Growth Drivers
 | As Reported (GAAP) |  | Impact of [NAME] (1) |  | Impact of Accounting Calendar Changes |  | Impact of Currency |  | Organic (Non-GAAP) |  |  | As Reported (GAAP) |  | Organic  (Non-GAAP) |  |  | Vol / Mix |  | Price
2011
U.S. Beverages | 779 |  | 0 |  | 0 |  | 0 |  | 779 |  |  | -0.121 |  | 0.022 |  |  | -5 |  | 7.199999999999999
U.S. Cheese | 875 |  | 0 |  | 0 |  | 0 |  | 875 |  |  | 0.098 |  | 0.103 |  |  | 1.1 |  | 9.2
U.S. Convenient Meals | 881 |  | 0 |  | 0 |  | 0 |  | 881 |  |  | 0.05 |  | 0.05 |  |  | -1 |  | 6
U.S. Grocery | 973 |  | 0 |  | 0 |  | 0 |  | 973 |  |  | 0.054 |  | 0.054 |  |  | -0.1 |  | 5.5
U.S. Snacks | 1510 |  | 0 |  | 0 |  | 0 |  | 1510 |  |  | -0.004 |  | -0.004 |  |  | -3 |  | 2.6
Canada & N.A. Foodservice | 1300 |  | 0 |  | 0 |  | -51 |  | 1249 |  |  | 0.083 |  | 0.045 |  |  | -0.5999999999999996 |  | 5.1
Kraft Foods North America | 6318 |  | 0 |  | 0 |  | -51 |  | 6267 |  |  | 0.025 |  | 0.04 |  |  | -1.5 |  | 5.5
Kraft Foods Europe | 3525 |  | 0 |  | -226 |  | -376 |  | 2923 |  |  | 0.262 |  | 0.064 |  |  | 0.7999999999999996 |  | 5.600000000000001
Kraft Foods Developing Markets | 4035 |  | 0 |  | -90 |  | -260 |  | 3685 |  |  | 0.223 |  | 0.135 |  |  | 8.1 |  | 5.4
Kraft Foods | 13878 |  | 0 |  | -316 |  | -687 |  | 12875 |  |  | 0.133 |  | 0.071 |  |  | 1.6 |  | 5.5
2010
U.S. Beverages | 886 |  | -124 |  | 0 |  | 0 |  | 762
U.S. Cheese | 797 |  | -4 |  | 0 |  | 0 |  | 793
U.S. Convenient Meals | 839 |  | 0 |  | 0 |  | 0 |  | 839
U.S. Grocery | 923 |  | 0 |  | 0 |  | 0 |  | 923
U.S. Snacks | 1516 |  | 0 |  | 0 |  | 0 |  | 1516
Canada & N.A. Foodservice | 1200 |  | -5 |  | 0 |  | 0 |  | 1195
Kraft Foods North America | 6161 |  | -133 |  | 0 |  | 0 |  | 6028
Kraft Foods Europe | 2793 |  | 0 |  | -45 |  | 0 |  | 2748
Kraft Foods Developing Markets | 3299 |  | -38 |  | -14 |  | 0 |  | 3247
Kraft Foods | 12253 |  | -171 |  | -59 |  | 0 |  | 12023
(1)  Impact of divestitures includes Starbucks CPG business.
Spreadsheet: 748075d1631877764-sum-of-working-hours-per-period-and-per-project-crticicality-book8
Sheet: Calculations

Name
Division
Criticality | 1 | 2 | 3 | 4 | 1 | 2 | 3 | 4 | 1 | 2 | 3 | 4
Date | [NAME] | [NAME] | [NAME] 3 | [NAME] | [NAME] | [NAME] | [NAME] 3 | [NAME] | [NAME] | [NAME] | [NAME] 3 | [NAME]
2101
2102
2103
2104
2105
2106
2107
2108
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2110
2111
2112
2113
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2250
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Spreadsheet: 1182ffe5-4853-4028-85ce-46e2c934fda9
Sheet: Computing

COMPUTING CAR
Course color corresponds with term of offering.  BLUE for Spring semester, PURPLE for J-term, GREEN for both Spring and J-term.
Biology | BIOL 350
Business | BUSN 336
Chemistry | CHEM 325
 | CHEM 340
Computer Science | CSCI 106
 | CSCI 107
 | CSCI 111
 | CSCI 112
 | CSCI 181
Drama | DRAM 331
Economics | ECON 312
Educations | EDUC 346
Mathematics | MATH 107
 | MATH 113
 | MATH 141
 | MATH 142
 | MATH 203
Music | MUSC 322
 | MUSC 371
Political Science | PSCI 301
Psychology | PSYC 201
Sociology | SOCI 300
Honors Program | HONR 249
 | HONR 254
 | HONR 258
 | HONR 292
Spreadsheet: 823413d1679949531-how-to-add-to-existing-formula-to-remove-duplicates-2-week-schedule-example
Sheet: Mar 24 - Apr 7

Event Name | Day | Event Start | Event End | Location | Space | Exp. Head Count | All Counts | Reg. Head Count | Duplicate
[NAME] | 2023-03-24 00:00:00 | 09:00:00 | 16:00:00 | HS204 | HS | 3
[NAME] | 2023-03-24 00:00:00 | 09:00:00 | 16:00:00 | HS227 | HS | 3 |  | 0
SS Yoga | 2023-03-24 00:00:00 | 10:00:00 | 10:35:00 | PE105 | PE | 10
ENGL 161 P102 | 2023-03-24 00:00:00 | 10:00:00 | 10:50:00 | SC124 | SC | 15 |  | 11
ENGL 162 EC03 | 2023-03-24 00:00:00 | 10:00:00 | 10:50:00 | IL212 | IL | 25 |  | 20
HLED 156 ECB2 | 2023-03-24 00:00:00 | 10:00:00 | 10:50:00 | PE103 | PE | 17 |  | 17
HSTR 161 P100 | 2023-03-24 00:00:00 | 10:00:00 | 10:50:00 | IL220 | IL | 30 |  | 11
HUMS 151G P100 | 2023-03-24 00:00:00 | 10:00:00 | 10:50:00 | [NAME] | BU | 40 |  | 8
MUSC 182 P100 | 2023-03-24 00:00:00 | 10:00:00 | 10:50:00 | SC128 | SC | 8 |  | 7
CISS 121 ECB1 | 2023-03-24 00:00:00 | 10:00:00 | 11:00:00 | EC207 | EC | 24 |  | 20
Interview K | 2023-03-24 00:00:00 | 10:00:00 | 11:00:00 | PE104K | PE | 3
Children's Learning Center | 2023-03-24 00:00:00 | 10:00:00 | 11:30:00 | PE101 | PE | 20 |  | 20
Children's Learning Center | 2023-03-24 00:00:00 | 10:00:00 | 11:30:00 | PE101A | PE | 20 |  | 20
Children's Learning Center | 2023-03-24 00:00:00 | 10:00:00 | 11:30:00 | PE101B | PE | 20 |  | 0
Spreadsheet: 140293d1328691479-excel-2008-drop-down-list-example
Sheet: Sheet1

Company | Name | Adress | zipcode | city | country |  | Company 1 | Company 2
Bik Bok | [NAME] | karlsgatan 2 | 24889 | Stockholm | Sweden |  | X
[NAME] | [NAME] | storgatan 3 | 25689 | Stockholm | Sweden |  | X | X
H&M | [NAME] | storgatan 14 | 59989 | Stockholm | Sweden |  |  | X
Lindex | [NAME] | södergatan 23 | 26998 | Stockholm | Sweden |  | X | X
Lindex | [NAME] | södergatan 23 | 89956 | Stockholm | Sweden |  | X | X
Lindex | [NAME] | södergatan 23 | 25889 | Stockholm | Sweden |  | X | X
Spreadsheet: 143246d1330328624-link-template-cell-to-workbook-excel-stumper
Sheet: Monthly Sales (2)

 | Revenue Tracking Services |  |  |  | Last Modified: | 2012-02-21 00:00:00
 | 2012 - Overall
 | Created | 2012-02-20 00:00:00
 |  | Gal. Sold | Addtl. Equip. | Totals | Average
 | Q1
 | Q2
 | Q3
 | Q4
 | Total
 | Target
 | Difference
 | Month | Gal. sold | Addtl. Equip. | Totals
 | Jan | 200 | 4
 | Feb
 | Mar
 | Apr
 | May
 | Jun
 | Jul
 | Aug
 | Sep
 | Oct
 | Nov
 | Dec
Spreadsheet: 127110d1320166373-counting-unique-values-example
Sheet: Sheet1

 | Table 1 |  |  |  | UDF | Table 2
Date | Product number | Running Count |  |  | Date | Number of Unique Products
2011-10-01 00:00:00 | 1 | 1 |  |  | 2011-10-01 00:00:00 | 4
2011-10-01 00:00:00 | 2 | 1 |  |  | 2011-10-02 00:00:00 | 2
2011-10-01 00:00:00 | 4 | 1 |  |  | 2011-10-03 00:00:00 | 3
2011-10-01 00:00:00 | 3 | 1 |  |  | 2011-10-04 00:00:00 | 1
2011-10-01 00:00:00 | 2 | 2
2011-10-01 00:00:00 | 3 | 2 |  |  | Pivot
2011-10-02 00:00:00 | 2 | 1 |  |  | Running Count | 1
2011-10-02 00:00:00 | 2 | 2
2011-10-02 00:00:00 | 3 | 1 |  |  | Count of Product number
2011-10-02 00:00:00 | 2 | 3 |  |  | Date | Total
2011-10-02 00:00:00 | 3 | 2 |  |  | 2011-10-01 00:00:00 | 4
2011-10-03 00:00:00 | 2 | 1 |  |  | 2011-10-02 00:00:00 | 2
2011-10-03 00:00:00 | 3 | 1 |  |  | 2011-10-03 00:00:00 | 3
2011-10-03 00:00:00 | 1 | 1 |  |  | 2011-10-04 00:00:00 | 1
2011-10-03 00:00:00 | 2 | 2 |  |  | Grand Total | 10
2011-10-03 00:00:00 | 3 | 2
2011-10-04 00:00:00 | 2 | 1 |  |  | [NAME] | Table 2
2011-10-04 00:00:00 | 2 | 2 |  |  | Date | Number of Unique Products
2011-10-04 00:00:00 | 2 | 3 |  |  | 2011-10-01 00:00:00 | 4
 |  |  |  |  | 2011-10-02 00:00:00 | 2
 |  |  |  |  | 2011-10-03 00:00:00 | 3
 |  |  |  |  | 2011-10-04 00:00:00 | 1
Spreadsheet: 268396d1380619303-duplicating-data-from-2-tabs-forum
Sheet: Capture Sheet

DATE | TRUCK REG | ODOMETER READING | DIESEL METER READING | DIESEL
2013-10-01 00:00:00 | BM 33 DC GP | 10000 | 150000 | 250
2013-10-05 00:00:00 | CJ 96 DC FP | 50000 | 150250 | 250
2013-10-09 00:00:00 | BM 33 DC GP | 90000 | 150500 | 250
2013-10-13 00:00:00 | CJ 96 DC FP | 130000 | 150750 | 250
2013-10-17 00:00:00 | BM 33 DC GP | 170000 | 151000 | 250
2013-10-21 00:00:00 | BM 33 DC GP | 210000 | 151250 | 250
2013-10-25 00:00:00 | CJ 96 DC FP | 250000 | 151500 | 250
2013-10-29 00:00:00 | BM 33 DC GP | 290000 | 151750 | 250
2013-11-02 00:00:00 | BM 33 DC GP | 330000 | 152000 | 250
2013-11-06 00:00:00 | CJ 96 DC FP | 370000 | 152250 | 250
2013-11-10 00:00:00 | CJ 96 DC FP | 410000 | 152500 | 250
2013-11-14 00:00:00 | CJ 96 DC FP | 450000 | 152750 | 250
Spreadsheet: 0b9f75c1-b68e-4dd4-ab42-39437b226cc1
Sheet: Sheet1

Table 10--Global rice exporters, calendar years 2010-2012; monthly revisions and annual changes | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11 | Unnamed: 12 | Unnamed: 13
 | 2010 |  |  |  | 2011 |  |  |  |  |  | 2012 1/
 | March |  | February | March |  | Monthly | Annual |  | February | March |  | Monthly | Annual
 | 2012 |  | 2012 | 2012 |  | revisions | changes |  | 2012 | 2012 |  | revisions | changes
 |  |  |  |  |  |  | 1,000 metric tons (milled basis)
Argentina | 468 |  | 675 | 732 |  | 57 | 264 |  | 630 | 630 |  | 0 | -102
Australia | 54 |  | 350 | 350 |  | 0 | 296 |  | 450 | 450 |  | 0 | 100
Brazil | 430 |  | 1300 | 1300 |  | 0 | 870 |  | 725 | 725 |  | 0 | -575
Burma | 445 |  | 750 | 750 |  | 0 | 305 |  | 750 | 750 |  | 0 | 0
Cambodia | 1000 |  | 1000 | 1000 |  | 0 | 0 |  | 1000 | 1000 |  | 0 | 0
China | 619 |  | 500 | 500 |  | 0 | -119 |  | 600 | 600 |  | 0 | 100
Ecuador | 60 |  | 70 | 70 |  | 0 | 10 |  | 15 | 15 |  | 0 | -55
Egypt | 570 |  | 120 | 120 |  | 0 | -450 |  | 600 | 600 |  | 0 | 480
European Union-27 | 282 |  | 300 | 300 |  | 0 | 18 |  | 350 | 350 |  | 0 | 50
Guyana | 275 |  | 250 | 250 |  | 0 | -25 |  | 230 | 230 |  | 0 | -20
India | 2228 |  | 4200 | 4200 |  | 0 | 1972 |  | 6000 | 6000 |  | 0 | 1800
Japan | 200 |  | 200 | 200 |  | 0 | 0 |  | 150 | 150 |  | 0 | -50
Korea, South | 4 |  | 3 | 3 |  | 0 | -1 |  | 3 | 3 |  | 0 | 0
Pakistan | 4000 |  | 3000 | 3000 |  | 0 | -1000 |  | 3750 | 3750 |  | 0 | 750
Paraguay | 135 |  | 220 | 220 |  | 0 | 85 |  | 150 | 150 |  | 0 | -70
Peru | 55 |  | 50 | 50 |  | 0 | -5 |  | 20 | 20 |  | 0 | -30
Russia | 154 |  | 125 | 125 |  | 0 | -29 |  | 150 | 150 |  | 0 | 25
Thailand | 9047 |  | 10500 | 10500 |  | 0 | 1453 |  | 6500 | 6500 |  | 0 | -4000
Turkey | 52 |  | 90 | 90 |  | 0 | 38 |  | 95 | 95 |  | 0 | 5
Uganda | 25 |  | 30 | 30 |  | 0 | 5 |  | 30 | 30 |  | 0 | 0
United States | 3868 |  | 3250 | 3213 |  | -37 | -655 |  | 3000 | 3000 |  | 0 | -213
Uruguay | 808 |  | 840 | 841 |  | 1 | 33 |  | 850 | 850 |  | 0 | 9
Vietnam | 6734 |  | 7000 | 7000 |  | 0 | 266 |  | 6500 | 6500 |  | 0 | -500
Subtotal | 31513 |  | 34823 | 34844 |  | 21 | 3331 |  | 32548 | 32548 |  | 0 | -2296
Other | 268 |  | 269 | 269 |  | 0 | 0 |  | 237 | 138 |  | -99 | -131
World total | 31781 |  | 35092 | 35113 |  | 21 | 3332 |  | 32785 | 32686 |  | -99 | -2427
U.S. Share | 0.1217079387055159 |  | 0.09261370112846233 | 0.09150457095662574 |  | -- | -- |  | 0.09150526155253927 | 0.09178241448938383 |  | -- | --
-- Not available.  Note: All trade data are reported on a calendar-year basis.
1/ Projected.
Source: Production, Supply, & Distribution Online Data Base, FAS/USDA, http://www.fas.usda.gov/psdonline/psdHome.aspx.
Last updated March 9, 2012.
Spreadsheet: 767748d1644604154-populating-a-list-barbz11
Sheet: Sheet1

Product |  | XL Vase | 50cm Vase | 10.5" Vase | 1 x 9" Vase | 7.5" Vase | Branches | Trunk | Logslice | Globes
XL Candle Cluster |  | 1 | 3 | 3 |  | 6
[NAME] |  |  |  |  |  |  | 10 | 1 | 1 | 4
[NAME] |  |  |  |  |  |  | 10 | 1 | 1 | 4
Candle Trio |  |  |  | 1 | 1 | 1
 | Qty
XL Candle Cluster | 5
[NAME] | 3
[NAME] | 4
Candle Trio | 7
Spreadsheet: 780498d1652484234-min-custom-message-when-null-daily-tickets-report-5-13-2022-
Sheet: Daily Tickets Report

FreshDesk | Open Tickets | Pending Tickets | Oldest Open Response
Total Open
CallTek | Open Tickets |  | Oldest Ticket Age
Tier - 1 (Calltek-Guest)
Tier - 2 (Calltek-NOC)
Tier - 3 (HIS-NOC)
BeyondTV Support
Total Open
Kentrone | Open Tickets |  | Oldest Ticket Age
Tier - 1
Tier - 2
Tier - 3
Total Open
CRM | Open Tickets |  | Oldest Ticket Age
[NAME] [NAME] |  |  | 2022-04-20 00:00:00
[NAME] |  |  | 2020-07-16 00:00:00
[NAME] |  |  | 2022-05-10 00:00:00
[NAME]
[NAME]
[NAME] |  |  | 2022-03-31 00:00:00
Nate Thibault
[NAME] |  |  | 2022-04-20 00:00:00
[NAME] |  |  | 2022-05-02 00:00:00
[NAME] |  |  | 2021-08-07 00:00:00
[NAME]
[NAME] |  |  | 2022-02-03 00:00:00
[NAME] |  |  | 2022-03-03 00:00:00
Total Open
 | DO NOT COPY ZERO ROWS |  |  |  | If Null = N/A