tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 880477d1728281658-dynamic-lookup-with-multiple-criteria-ian-mcpherson-npt-example-spill-365-aligw
Sheet: NPT

 | Q-L-D |  |  |  | Q-D-L |  |  |  | L-D-Q |  |  |  | L-Q-D |  |  |  | D-L-Q |  |  |  | D-Q-L |  |  | D-L-Q
 | Men | Ladies |  |  | Men | Ladies |  |  | Men | Ladies |  |  | Men | Ladies |  |  | Men | Ladies |  |  | Men | Ladies
Q1 | 1 |  |  | Q1 | 1 |  |  | L1 | 1 |  |  | L1 | 1 |  |  | D1 | 1 |  |  | D1 | 1
Q2 |  | 2 |  | Q2 |  | 2 |  | L2 |  | 2 |  | L2 |  | 2 |  | D2 |  | 2 |  | D2 |  | 2
[NAME] | 3 |  |  | [NAME] | 3 |  |  | Lake 3 | 3 |  |  | Lake 3 | 3 |  |  | D3 | 3 |  |  | D3 | 3
Q4 |  | 4 |  | Q4 |  | 4 |  | [NAME] |  | 4 |  | [NAME] |  | 4 |  | [NAME] |  | 4 |  | [NAME] |  | 4
Q5 | 5 |  |  | Q5 | 5 |  |  | L5 | 5 |  |  | L5 | 5 |  |  | D5 | 5 |  |  | D5 | 5
Q6 |  | 6 |  | Q6 |  | 6 |  | L6 |  | 6 |  | L6 |  | 6 |  | D6 |  | 6 |  | D6 |  | 6
[NAME] | 7 |  |  | [NAME] | 7 |  |  | L7 | 7 |  |  | L7 | 7 |  |  | [NAME] | 7 |  |  | [NAME] | 7
Q8 |  | 8 |  | Q8 |  | 8 |  | Lake 8 |  | 8 |  | Lake 8 |  | 8 |  | D8 |  | 8 |  | D8 |  | 8
Q9 | 9 |  |  | Q9 | 9 |  |  | L9 | 9 |  |  | L9 | 9 |  |  | D9 | 9 |  |  | D9 | 9
L1 |  | 10 |  | D1 |  | 10 |  | D1 |  | 10 |  | Q1 |  | 10 |  | L1 |  | 10 |  | Q1 |  | 10
L2 | 11 |  |  | D2 | 11 |  |  | D2 | 11 |  |  | Q2 | 11 |  |  | L2 | 11 |  |  | Q2 | 11
Lake 3 |  | 12 |  | D3 |  | 12 |  | D3 |  | 12 |  | [NAME] |  | 12 |  | Lake 3 |  | 12 |  | [NAME] |  | 12
[NAME] | 13 |  |  | [NAME] | 13 |  |  | [NAME] | 13 |  |  | Q4 | 13 |  |  | [NAME] | 13 |  |  | Q4 | 13
L5 |  | 14 |  | D5 |  | 14 |  | D5 |  | 14 |  | Q5 |  | 14 |  | L5 |  | 14 |  | Q5 |  | 14
L6 | 15 |  |  | D6 | 15 |  |  | D6 | 15 |  |  | Q6 | 15 |  |  | L6 | 15 |  |  | Q6 | 15
L7 |  | 16 |  | [NAME] |  | 16 |  | [NAME] |  | 16 |  | [NAME] |  | 16 |  | L7 |  | 16 |  | [NAME] |  | 16
Lake 8 | 17 |  |  | D8 | 17 |  |  | D8 | 17 |  |  | Q8 | 17 |  |  | Lake 8 | 17 |  |  | Q8 | 17
L9 |  | 18 |  | D9 |  | 18 |  | D9 |  | 18 |  | Q9 |  | 18 |  | L9 |  | 18 |  | Q9 |  | 18
D1 | 19 |  |  | L1 | 19 |  |  | Q1 | 19 |  |  | D1 | 19 |  |  | Q1 | 19 |  |  | L1 | 19
D2 |  | 20 |  | L2 |  | 20 |  | Q2 |  | 20 |  | D2 |  | 20 |  | Q2 |  | 20 |  | L2 |  | 20
D3 | 21 |  |  | Lake 3 | 21 |  |  | [NAME] | 21 |  |  | D3 | 21 |  |  | [NAME] | 21 |  |  | Lake 3 | 21
[NAME] |  | 22 |  | [NAME] |  | 22 |  | Q4 |  | 22 |  | [NAME] |  | 22 |  | Q4 |  | 22 |  | [NAME] |  | 22
D5 | 23 |  |  | L5 | 23 |  |  | Q5 | 23 |  |  | D5 | 23 |  |  | Q5 | 23 |  |  | L5 | 23
D6 |  | 24 |  | L6 |  | 24 |  | Q6 |  | 24 |  | D6 |  | 24 |  | Q6 |  | 24 |  | L6 |  | 24
[NAME] | 25 |  |  | L7 | 25 |  |  | [NAME] | 25 |  |  | [NAME] | 25 |  |  | [NAME] | 25 |  |  | L7 | 25
D8 |  | 26 |  | Lake 8 |  | 26 |  | Q8 |  | 26 |  | D8 |  | 26 |  | Q8 |  | 26 |  | Lake 8 |  | 26
D9 | 27 |  |  | L9 | 27 |  |  | Q9 | 27 |  |  | D9 | 27 |  |  | Q9 | 27 |  |  | L9 | 27
Spreadsheet: 7d14c6c7-0401-4919-8b80-d7dd0b00263d
Sheet: Sheet1

Table 1--U.S. rice supply and use  1/ | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7
Item | 2007/08 | 2008/09 | 2009/10 | 2010/11 | 2011/12 | 2012/13 | 2013/14
 |  |  |  |  |  | 2/ | 2/
TOTAL RICE |  |  |  | Million acres
Area:
Planted | 2.761 | 2.995 | 3.135 | 3.636 | 2.689 | 2.699 | 2.611
Harvested | 2.748 | 2.976 | 3.103 | 3.615 | 2.617 | 2.678 | 2.59
 |  |  |  | Pounds per harvested acre
Yield | 7219 | 6846 | 7085 | 6725 | 7067 | 7449 | 7317
 |  |  |  | Million cwt
Beginning stocks | 39.315 | 29.492 | 30.419 | 36.499 | 48.467 | 41.07900000000001 | 34.05799999999999
Production | 198.388 | 203.733 | 219.85 | 243.104 | 184.941 | 199.479 | 189.5
Imports | 23.9 | 19.218 | 19.019 | 18.336 | 19.361 | 21.5 | 22.5
Total supply | 261.603 | 252.443 | 269.288 | 297.939 | 252.769 | 262.058 | 246.058
Food, industrial,
& residual 3/ | 123.152 | 123.77 | 120.012 | 133.191 | 106.77
Seed | 3.697 | 3.87 | 4.488 | 3.324 | 3.332
Total domestic use | 126.849 | 127.64 | 124.5 | 136.515 | 110.102 | 120 | 115
Exports | 105.262 | 94.384 | 108.304 | 112.959 | 101.588 | 108 | 98
Rough | 37.663 | 31.633 | 40.351 | 35.146 | 32.72 | 36 | 36
Milled 4/ | 67.599 | 62.751 | 67.953 | 77.813 | 68.868 | 72 | 62
Total use | 232.111 | 222.024 | 232.793 | 249.474 | 211.69 | 228 | 213
Ending stocks | 29.492 | 30.419 | 36.499 | 48.46700000000004 | 41.07900000000001 | 34.05799999999999 | 33.05799999999999
 |  |  |  | Percent
Stocks-to-use ratio | 12.70598980660115 | 13.70077108781033 | 15.67873604446869 | 19.42767582994622 | 19.40526241201758 | 14.93771929824561 | 15.52018779342723
 |  |  |  | $/cwt
Average farm |  |  |  |  |  | 14.70 to | 14.30 to
price 5/ | 12.8 | 16.8 | 14.4 | 12.7 | 14.5 | 15.1 | 15.3
 |  |  |  | Percent
Average
milling rate | 69.88 | 70.83 | 71.53 | 68.86 | 69.93 | 70 | 70.25
N/A = not available.  1/ August-July market year; rough equivalent.  2/ Projected.  3/ Residual includes unreported
use, processing losses, and estimating errors.  4/  Rough-rice equivalent.  5/ Market-year weighted average.
Source: World Agricultural Supply and Demand Estimates, WAOB, USDA.
Updated May 10, 2013.
Spreadsheet: 810605d1671884756-filtering-data-book2test-1-
Sheet: Sheet1

 |  |  | Subject 1 | Subject 2 | Subject 3 | Subject 4 | Subject 5 | Subject 6 | Subject 7 | Subject 8 |  |  |  | Subject A | Subject B | Subject C
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | At least 1<50
 |  | Student 1 |  |  | 40 | 47 |  | 43 | 50 | 53
 |  | Student 2 |  |  | 30 |  |  | 22 |  | 28 |  |  |  |  |  |  |  | Student 2 |  | Student 2
 |  | Student 3 |  |  | 46 |  |  | 65 |  |  |  |  |  |  |  |  |  | Student 3 |  | Student 4
 |  | Student 4 |  |  | 39 |  |  | 43 |  |  |  |  |  |  |  |  |  | Student 4 |  | Student 12
 |  | Student 5 |  |  |  |  |  |  |  |  |  |  |  |  |  | 60 |  | Student 11 |  | Student 13
 |  | Student 6 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Student 12 |  | Student 14
 |  | Student 7 |  |  |  |  | 50 | 60 |  |  |  |  |  |  |  |  |  | Student 13 |  | Student 34
 |  | Student 8 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Student 14 |  | Student 37
 |  | Student 9 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Student 15 |  | Student 40
 |  | Student 10 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Student 16 |  | Student 46
 |  | Student 11 |  |  | 41 |  |  | 67 | 40 | 50 |  |  |  |  |  |  |  | Student 22 |  | Student 50
 |  | Student 12 |  |  | 17 |  | 22 | 25 |  | 28 |  |  |  |  |  |  |  | Student 30
 |  | Student 13 |  |  |  |  | 40 |  |  |  |  |  |  |  |  |  |  | Student 34
 |  | Student 14 | 13 | 20 | 10 | 19 | 0 | 15 | 21 | 25 |  |  |  |  |  |  |  | Student 35
 |  | Student 15 |  | 71 | 55 |  | 52 | 43 |  |  |  |  |  |  |  |  |  | Student 37
 |  | Student 16 |  |  | 50 |  |  |  |  | 41 |  |  |  |  |  |  |  | Student 40
 |  | Student 17 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Student 42
 |  | Student 18 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Student 43
 |  | Student 19 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Student 45
 |  | Student 20 |  |  |  |  |  | 70 |  |  |  |  |  |  |  |  |  | Student 46
 |  | Student 21 |  |  |  |  |  |  | 55 | 51 |  |  |  |  |  |  |  | Student 47
 |  | Student 22 |  |  | 51 |  |  | 39 |  | 51 |  |  |  |  |  |  |  | Student 50
 |  | Student 23
 |  | Student 24 |  |  |  |  |  | 50
 |  | Student 25
 |  | Student 26 |  |  | 50 |  |  | 59
 |  | Student 27
 |  | Student 28
 |  | Student 29
 |  | Student 30 |  |  | 40 |  |  | 50
 |  | Student 31
 |  | Student 32 |  |  |  |  |  | 50
 |  | Student 33 |  |  |  |  |  |  |  | 51
 |  | Student 34 |  |  |  |  |  | 21
 |  | Student 35 |  |  | 43 |  | 50 | 44
 |  | Student 36
 |  | Student 37 |  |  | 10 |  |  | 18 |  | 29
 |  | Student 38 |  |  |  |  |  | 79 |  | 67
 |  | Student 39
 |  | Student 40 |  |  | 43
 |  | Student 41
 |  | Student 42 |  |  | 33 |  | 50 | 53 | 48 | 50
 |  | Student 43 |  |  | 52 |  |  | 43 |  | 50
 |  | Student 44
 |  | Student 45 |  |  | 43 |  | 52 | 52 |  | 56
 |  | Student 46 | 12 | 0 | 0 | 0 | 0 | 0 | 0 | 0
 |  | Student 47 |  |  | 40 |  |  | 52 |  | 50
 |  | Student 48
 |  | Student 49 |  |  |  |  |  | 64
 |  | Student 50 |  |  | 10 |  |  | 31
Spreadsheet: 697173d1601229876-index-match-formula-from-sales-data-worksheet-to-receivable-worksheet-excel-match
Sheet: RECEIVABLES

I am kindly asking for a formula which can match date, invoice number, payment terms and Amount including VAT from SALES DATA.  Please note that invoice 6008 has two transactions.
All these figures should be linked to customer code number Cell B8 "C006"
 | DESIRED OUTCOME
 | Date | Invoice | Payment Terms | Dr | Cr
 | C006 | PANASHE
 |  |  |  |  | 0
 |  |  |  |  | 0
Spreadsheet: 168734d1342552700-copy-across-multiple-rows-and-columns-the-data-to-one-column-removing-dupilicates-blank-15640
Sheet: Sept9-Sept15m

Main Arena
 | 2012-09-09 00:00:00 |  |  | Thru | 2012-09-15 00:00:00
 | SUN | MON | TUE | WED | THURS | FRI | SAT
 | 2012-09-09 00:00:00 | 2012-09-10 00:00:00 | 2012-09-11 00:00:00 | 2012-09-12 00:00:00 | 2012-09-13 00:00:00 | 2012-09-14 00:00:00 | 2012-09-15 00:00:00 |  |  |  | Blocks | Team | Hours
7:00AM |  |  |  |  |  |  |  | 7:00AM |  |  | 0 | 05 [NAME] | 0
 |  |  |  |  |  |  |  |  |  |  | 0 | 04 Flags | 0
[NAME] |  |  |  |  |  |  |  | [NAME] |  |  | 0 | 03 [NAME] | 0
 |  |  |  |  |  |  |  |  |  |  | 0 | 02 Flags | 0
[NAME] |  |  |  |  |  |  |  | [NAME] |  |  | 0 | 01 Flags | 0
 |  |  |  |  |  |  |  |  |  |  | 0 | 00 Flags | 0
10:00AM |  |  |  |  |  |  |  | 10:00AM |  |  | 0 | 99 Flags | 0
 |  |  |  |  |  |  |  |  |  |  | 0 | 98 Flags | 0
11:00AM |  |  |  |  |  |  |  | 11:00AM |  |  | 0 | Midget A | 0
 |  |  |  |  |  |  |  |  |  |  | 0 | Midget AA | 0
12:00PM |  |  |  |  |  |  |  | 12:00PM
1:00PM |  |  |  |  |  |  |  | 1:00PM
2:00PM |  |  |  |  |  |  |  | 2:00PM
3:00PM |  |  |  |  |  |  |  | 3:00PM
4:00PM |  |  |  |  |  |  |  | 4:00PM
5:00PM |  |  |  |  |  |  |  | 5:00PM
6:00PM |  |  |  |  |  |  |  | 6:00PM
7:00PM |  |  |  |  |  |  |  | 7:00PM
8:00PM |  |  |  |  |  |  |  | 8:00PM
9:00PM |  |  |  |  |  |  |  | 9:00PM
10:00PM |  |  |  |  |  |  |  | 10:00PM
11:00PM |  |  |  |  |  |  |  | 11:00PM
 | Cancellations or Corrections
 | Date | Time | Customer | Operations Personal | Comments
Spreadsheet: 3c722e93-e5be-4bb3-a06f-54581fdb70d3
Sheet: Sheet1

Statistika podnikání k danému datu (ZPUNIS024) | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5
Statistika č. | 233574 | Vytvořeno | 05.04.2012 00:34 | Autor | [NAME]
Úřad | 310000 | Určeno pro | [NAME]
Období | 1. čtvrtletí 2012
[NAME] republika celkem
Počet ke dni | 31.3.2012
ŽO - celkem | 3180556
ŽO - jen koncesované | 120019
ŽO - jen vázané | 282781
ŽO - jen řemeslné | 892756
ŽO - jen volné | 1885000
ŽO pro fyzické osoby | 2593074
ŽO pro právnické osoby | 587482
ŽO pro cizince | 106236
Podnikatelé - celkem | 2309554
Podnikatelé - fyzické o. | 1961804
Podnikatelé - právnické o. | 347750
Podnikatelé - cizinci | 93784
Počet obyvatel | 10504203
ŽO na 1000 obyvatel | 302.789
Podnikatelů na 1000 obyvatel | 219.87
Počet ŽO na podnikatele | 1.377
Spreadsheet: 702342d1604307302-pivoting-data-into-one-line-from-a-long-list-of-data-help-sample-data-2-
Sheet: Sheet2

SKU | Instructions | Parts Diagrams | Web Main Picture | Material Safety Data Sheet | Web Image3 | Web Image2 | Web Image1
10000ES | [NAME] | [NAME] 20190726 (3)_DFC0242267.pdf | [NAME] | [NAME] | [NAME] | [NAME] | [NAME]
1000ETJ | [NAME] | [NAME] 20191009 (3)_DFC0279116.pdf | [NAME] | [NAME] |  | [NAME] | [NAME]
1000TR | [NAME] 20190801 (3)_DFC0244170.pdf | [NAME] (3)_DFC0281983.pdf | [NAME] | [NAME] |  |  | [NAME]
Spreadsheet: 884441d1733585170-adding-additional-sort-in-filter-sortby-adding-additional-sort-in-filter-sortby-jt-
Sheet: Sheet2

Answer:
 |  |  |  |  |  |  |  |  |  | Step 1 |  | Step 2 |  |  |  |  | Step 3 |  |  |  |  | Step 4 |  | Step 5
City | Sales | Classification | Grade |  | City | Sales | Classification | Grade |  | Grade |  | City | Sales | Classification | Grade |  | City | Sales | Classification | Grade |  | Grade |  | Sales | Classification | Grade | Grade
NY | 7 | VS | A+ |  |  | 7 | VS | A+ |  |  |  |  | 1.2 | VB | 5 |  |  | 7 | VS | 1 |  |  |  |  | 7 | VS | A+
NY | 5 | VS | A+ |  | NY | 5 | VS | A+ |  | 1 |  | NY | 5 | VS | 1 |  | NY | 5 | VS | 1 |  | A+ |  | NY | 5 | VS | A+
London | 1.5 | VS | A+ |  | London | 1.5 | VS | A+ |  | 2 |  | Berlin | 4.5 | VS | 2 |  | London | 1.5 | VS | 1 |  | A+ |  | London | 1.5 | VS | A+
Berlin | 4.5 | VS | A |  | Berlin | 4.5 | VS | A |  | 2 |  | Seattle | 0.3 | VB | 2 |  | Berlin | 4.5 | VS | 2 |  | A |  | Berlin | 4.5 | VS | A
Hong Kong | 0.5 | VS | C |  | Hong Kong | 0.5 | VS | C |  | 5 |  | Milan | 1 | VB | 5 |  | Hong Kong | 0.5 | VS | 7 |  | C |  | Hong Kong | 0.5 | VS | C
Seattle | 0.3 | VB | A |  | Seattle | 0.3 | VB | A |  | 7 |  | Madrid | 2 | VB | 7 |  | Seattle | 0.3 | VB | 2 |  | A |  | Seattle | 0.3 | VB | A
LA | 3 | VB | A- |  | LA | 3 | VB | A- |  | 1 |  | London | 1.5 | VS | 1 |  | LA | 3 | VB | 3 |  | A- |  | LA | 3 | VB | A-
Paris | 1.2 | VB | B |  | Paris | 1.2 | VB | B |  | 7 |  | Hong Kong | 0.5 | VS | 7 |  | Paris | 1.2 | VB | 5 |  | B |  | Paris | 1.2 | VB | B
Milan | 1 | VB | B |  | Milan | 1 | VB | B |  | 3 |  | LA | 3 | VB | 3 |  | Milan | 1 | VB | 5 |  | B |  | Milan | 1 | VB | B
Toronto | 0.7 | VB | B- |  | Toronto | 0.7 | VB | B- |  | 6 |  | Toronto | 0.7 | VB | 6 |  | Toronto | 0.7 | VB | 6 |  | B- |  | Toronto | 0.7 | VB | B-
Madrid | 2 | VB | C |  | Madrid | 2 | VB | C |  | 1 |  | NY | 7 | VS | 1 |  | Madrid | 2 | VB | 7 |  | C |  | Madrid | 2 | VB | C
 |  |  |  |  |  |  |  |  |  | 1) [NAME] column to points for sorting purpose
 |  |  |  |  |  |  |  |  |  | 2) Full data with points now replacing grades
 |  |  |  |  |  |  |  |  |  | 3) Sort according to required sorting order for respective columns
 |  |  |  |  |  |  |  |  |  | 4) Replacing points back to grades
 |  |  |  |  |  |  |  |  |  | 5) Full data with grades now replacing points
Spreadsheet: 870302d1716841036-can-anyone-tell-what-mistake-i-am-doing-in-my-formulas-given-in-the-sample-file-sample-file
Sheet: Table 66

कार्यक्रम PROGRAM |  |  | क्षमिा की पुनपयररभाषा REDEFINING POTENTIAL (PROGRAM FOR ELB/VLB HEADS) | PROG CODE
 |  |  |  | IT 1776
तर्षर् समूह/JOB FAMILY |  |  | HR, MARKETING, CUSTOMER SERVICE & COMPLIANCE
उद्देश्य/OBJECTIVE |  |  | EXPLOITATION OF POTENTIAL AND DESIGNING OF THINKING BEYOND VISION
लतक्षि समूह/TARGET GROUP |  |  | [NAME]
अर्तध/DURATION |  |  | 3 DAYS
DAY | SESSION | CONTENTS
Day 1 | I | Inauguration/Knowing branch problems & expectations, Developing Communication Skills, EASE Reforms
 | II | Changing Banking landscape
 | III | Importance of ELB/ VLB, their contribution, Roles & Responsibilities
 | IV | Credit policy, Risk rating, Delegation of Power
Day 2 | I | Retail Assets-Avenue & Marketing strategy
 | II | Loan take over & precautions-SME etc.
 | III | Precautions in appraisal/sanctioning of WC, TL
 | IV | Legal aspects of Mortgage, Valuation
Day 3 | I | Importance of credit monitoring, Slippage management, Recovery
 | II | Motivation & Work Life Balance
 | III | Fraud Awareness, Preventive vigilance Digital awareness and cyber security
 | IV | AML/KYC & Compliance, Business Ethics & Valediction
Spreadsheet: jeffrey_a_shankman__13818__STOR9810
Sheet: STOR951

ENRON CAPITAL & TRADE RESOURCES |  |  |  |  |  |  |  |  |  |  |  |  |  | Confidential - For Internal Use Only
STORAGE UPDATE |  |  |  |  |  |  |  |  |  |  |  |  |  |  | File: STOR9810
Below is a summary of the estimated storage working gas levels
for the week ending: |  |  | 2000-12-15 00:00:00
 |  | Gas In Stg | Gas in | Quantity | Percent | Percent |  |  |  |  | Last Year | Three | Five | Quantity | Quantity | Quantity
 |  | Prev Week | Storage | Change | Change | of Full |  |  |  |  | Same | Year | Year | Change From | Change From | Change From
U.S. Region |  | (Bcf) | (Bcf) | from last week | from last week | Capacity |  |  |  |  | Week | Average | Average | last year | 3 year avg. | 5 year avg.
Production Area |  | 570 | 524
(TX, LA, OK, KS, MS)
Market Area - East |  | 1385 | 1285
Market Area - West |  | 316 | 304
TOTAL U.S.
MONTH TO DATE
Enron Gas Services |  |  | 36.2 | 0 | 0 | 0.924 |  |  |  |  | ECTR is refilling [NAME] as third parties
(as of 1/20/95) |  |  |  |  |  |  |  |  |  |  |  |  |  | are withdrawing, this keeping our
 |  |  |  |  |  |  |  |  |  |  |  |  |  | total position flat for the week.
AGA FULL CAPACITY |  |  | 3294 |  |  |  |  |  |  |  |  |  |  | 3294 | 3294 | 3294
Maximum Gas In Stg Level (Bcf) |  |  | 3127 |  |  |  |  |  |  |  |  |  |  | 3127 | 2832 | 2915
Minimum Gas In Stg Level (Bcf) |  |  | 1335 |  |  |  |  |  |  |  |  |  |  | 1006 | 794 | 871
Spreadsheet: 032fedd6-6a66-41a2-87a4-54a41d3ae67e
Sheet: Sheet1

Table 9--U.S. vegetable oil and fats prices | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8
Marketing | Soybean | Cottonseed | Sunflowerseed | Canola | Peanut | Corn | Lard 6 | Edible
year | oil 2 | oil 3 | oil 4 | oil 4 | oil 5 | oil 6 |  | tallow 6
 | Cents/pound
2001/02 | 16.46 | 17.98 | 23.25 | 23.45 | 32.23 | 19.14 | 13.55 | 13.87
2002/03 | 22.04 | 37.75 | 33.13 | 29.75 | 46.7 | 28.17 | 18.13 | 17.8
2003/04 | 29.97 | 31.21 | 33.42 | 33.76 | 60.84 | 28.43 | 26.13 | 22.37
2004/05 | 23.01 | 28.01 | 43.71 | 30.78 | 53.63 | 27.86 | 21.8 | 18.48
2005/06 | 23.41 | 29.47 | 40.64 | 31 | 44.48 | 25.18 | 21.74 | 18.16
2006/07 | 31.02 | 35.7 | 58.03 | 40.57 | 52.99 | 31.8 | 28.43 | 27.32
2007/08 | 52.03 | 73.56 | 91.15 | 65.64 | 94.53 | 69.4 | 40.85 | 41.68
2008/09 | 32.16 | 37.1 | 50.24 | 39.54 | 78.49 | 32.75 | 26.72 | 25.47
2009/10 | 35.95 | 40.27 | 52.8 | 42.88 | 59.62 | 39.29 | 31.99 | 32.26
2010/11 | 53.2 | 54.5 | 86.12 | 58.68 | 77.24 | 60.76 | 51.52 | 51.34
2011/12 | 51.9 | 53.22 | 83.2 | 57.19 | 100.15 | 56.09 | 48.11 | 50.33
2012/131 | 49.0-53.0 | 51.0-55.0 | 75.0-79.0 | 58.0-62.0 | 99.0-103.0 | 54.5-58.5 | 56.0-60.0 | 41.0-45.0
2011/12
October | 51.73 | 51.56 | 92.5 | 56.81 | 97 | 54.24 | 61.1 | 52.09
November | 51.44 | 50.5 | 91 | 56.13 | 98.75 | 53.98 | 48.86 | 45.51
December | 50.17 | 51.1 | 91 | 55.4 | 96.1 | 53.36 | 48.71 | 50.78
January | 50.99 | 52.19 | 88.75 | 55.06 | 95.81 | 54 |  | 51.1
February | 52.36 | 54.56 | 86 | 56.94 | 95 | 56.3 | 52.55 | 53.17
March | 53.43 | 55.95 | 82 | 59.1 | 96.6 | 59.31 | 54.6 | 52.24
April | 54.96 | 56.88 | 79 | 60.94 | 102.38 | 60.75 | 52.59 | 49
May | 50.69 | 52 | 80 | 55.88 | 106.13 | 58.05 | 54.82 | 55.48
June | 48.65 | 50.05 | 80.2 | 54.1 | 111 | 52.9 | 54.83 | 49.88
July | 51.96 | 53.75 | 78 | 57.44 | 110 | 54.76 | 53 | 49.13
August | 52.65 | 54.65 | 75 | 58.75 | 110 | 57.26 |  | 48.36
September | 53.81 | 55.5 | 75 | 59.75 | 104.5 | 58.21 |  | 47.19
2012/13
October | 49.31 | 51.31 | 74 | 57.5 | 103 | 54.75 | 51.6 | 42.27
November1 | 46.27 | 49.05 | 70.3 | 58.2 | 99.9 | 51.93 | 57 | 37.15
1 Preliminary.  2 Decatur, IL.  3 PBSY Greenwood, MS.  4 Midwest. 5 Southeast mills.  6 Chicago.
NA = Not available.
Sources: USDA, Agricultural Marketing Service,  Monthly Feedstuff Prices and Milling and Baking News.
Last update: | 2012-12-17 14:09:12.260000
Spreadsheet: a69a9f1c-b7d7-4d03-8035-50c38374d7ec
Sheet: Sheet1

PROG ID | ATHLETE ID | ATHLETE FIRST | ATHLETE LAST | NATIONALITY | START NUMBER | SWIM | T1 | BIKE | T2 | RUN | POSITION | TOTAL TIME
265444 | 80299 | Dougles | Carver | MRI | 47 | 00:11:47 | 00:00:22 | 00:34:41 | 00:00:15 | 00:20:10 | 1 | 01:07:15
265444 | 72634 | Gregory | Ernest | MRI | 11 | 00:10:49 | 00:00:23 | 00:38:21 | 00:00:25 | 00:22:02 | 2 | [NAME]
265444 | 80300 | Giovani | [NAME] | MRI | 50 | 00:09:50 | 00:00:14 | 00:41:38 | [NAME] | 00:23:39 | 3 | 01:15:39
Spreadsheet: 86307d1286318608-running-count-of-multi-unique-values-sample-of-problem
Sheet: Data

 | Item 1 | Item 2 | Item 3 | Item 4 | Item 5 | Item 6 | Item 7 | Item 8 | Item 9 | Item 10 | Item 11 | Item 12 | Item 13 | Item 14 | Item 15 | Total
 | 11111 | data | data | data | data | data | data | data | data | data | data | data | data | data | data | 23
 | 11111 | data | data | data | data | data | data | data | data | data | data | data | data | data | data | 45
 | 11111 | data | data | data | data | data | data | data | data | data | data | data | data | data | data | 23
 | 11111 | data | data | data | data | data | data | data | data | data | data | data | data | data | data | 21
 | 11112 | data | data | data | data | data | data | data | data | data | data | data | data | data | data | 1
 | 11112 | data | data | data | data | data | data | data | data | data | data | data | data | data | data | 567
 | 11113 | data | data | data | data | data | data | data | data | data | data | data | data | data | data | 24
 | 11113 | data | data | data | data | data | data | data | data | data | data | data | data | data | data | 73
 | 11113 | data | data | data | data | data | data | data | data | data | data | data | data | data | data | 64
 | 11111 | data | data | data | data | data | data | data | data | data | data | data | data | data | data | 245
 | 11111 | data | data | data | data | data | data | data | data | data | data | data | data | data | data | 299.333333333333
 | 11111 | data | data | data | data | data | data | data | data | data | data | data | data | data | data | 385.333333333333
 | 11112 | data | data | data | data | data | data | data | data | data | data | data | data | data | data | 471.333333333333
 | 11112 | data | data | data | data | data | data | data | data | data | data | data | data | data | data | 557.333333333333
 | 11112 | data | data | data | data | data | data | data | data | data | data | data | data | data | data | 643.333333333333
 | 11113 | data | data | data | data | data | data | data | data | data | data | data | data | data | data | 729.333333333333
 | 11113 | data | data | data | data | data | data | data | data | data | data | data | data | data | data | 815.333333333333
 | 11113 | data | data | data | data | data | data | data | data | data | data | data | data | data | data | 901.333333333333
 | 11111 | data | data | data | data | data | data | data | data | data | data | data | data | data | data | 987.333333333333
 | 11111 | data | data | data | data | data | data | data | data | data | data | data | data | data | data | 1073.33333333333
 | 11111 | data | data | data | data | data | data | data | data | data | data | data | data | data | data | 1159.33333333333
 | 11111 | data | data | data | data | data | data | data | data | data | data | data | data | data | data | 1245.33333333333
 | 11111 | data | data | data | data | data | data | data | data | data | data | data | data | data | data | 1331.33333333333
Spreadsheet: 219995d1363029747-table-values-dados-chemisb-oeldere1-
Sheet: Sheet2

Country Name | 1995 | 1996 | 1997 | 1998 | 1999 | 2000
Germany
Austria
Belgium
Denmark
Spain
Finland
France
Greece
Ireland
Italy
Luxembourg
Netherlands
Portugal
United Kingdom
Sweden
Spreadsheet: 130172d1322102067-nested-if-then-else-nestediftovlookup
Sheet: Sheet1

 |  |  |  |  |  |  |  |  | type Name here | a |  | Number of days | 10
 |  |  |  | NAMES | RATES |  |  |  | Rate is | Name not Found
 |  |  |  |  |  |  |  |  | Salary | Cannot compute
 |  |  |  | acs | 12
 |  |  |  | bob | 25
 |  |  |  | tom | 20.3 |  |  |  | or
 |  |  |  | herb | 54.6
 |  |  |  | den | 58.6 |  |  |  | Combined Formula | Cannot Compute
 |  |  |  | jane | 23
 |  |  |  | troy | 45.62
 |  |  |  | [NAME] | 78.65
 |  |  |  | joy | 42.12
 |  |  |  | [NAME] | 10.12