tianzl66/Sheetpedia huggingface dataset:
Spreadsheet: 0a8791de-84e4-4eb4-bfac-22483612972b
Sheet: Education - Teacher Assoc

EDUCATION
Associate in Applied Science
Student Name:
ID #
Teacher Associate Option
General Education | Semester | Grade
___ ENG 101(3) Writing I
___ ENG 102 (3) Writing II
___ Oral Communication (3)
___ Humanities OR Foreign Language (3-4)
___ HIS 108 (3) History of the US Through 1865
OR ___ HIS 109 (3) History of the US Since 1865
___ [NAME] (6)
___ PSY 110 (3) General Psychology
___ [NAME] (3)
___ [NAME] (4-5) (Must include at least one Science course with a laboratory experience.)
___ Behavioral Science (3) (One course must be a Cultural Studies.)
___ Behavioral Science (3)
___ CIT 105 (3) Introduction to Computers OR IC3 Computer Literacy Exam
Technical Core
___ EDU 201 (3) An Introduction to American Education
___ EDP 202 (3) Human Development and Learning
___ EDP 203 (3) Teaching Exceptional Learners in the Regular Classroom
Technical or Support Electives
___ EDU 110 (3) Orientation to Education
___ EDU 120 (3) Child and Adolescent Development
___ EDU 130 (3) Introduction to Special Education
___ EDU 140 (3) Introduction to Behavior Management
___ EDU 150 (3) Practical Experience for the Para-educator
___ EDU 280 (3) Education Externship/Co-op
Southeast Kentucky Community & Technical College | Updated Spring 2013
Spreadsheet: 396d432d-1bd0-4ff3-bd11-381f60826f37
Sheet: Sheet1

AGRI. C4 | Unnamed: 1 | Unnamed: 2 | Unnamed: 3 | Unnamed: 4 | Unnamed: 5 | Unnamed: 6
MRui
 |  |  |  |  |  | 2012-05-30 16:35:31.410000
For more Poultry info go to: |  |  | http://circa.europa.eu/Public/irc/agri/pig/library
PRIX DE MARCHE/ MARKET PRICE
OEUFS DE CONSOMMATION
EGGS FOR CONSUMPTION
NB: Germany, Austria and Sweden barn egg prices, all other cage eggs prices
 | NB: Allemagne, Autriche et Suède prix des œufs de production sol,   tous autres prix des œufs en cage
POULET ENTIER
WHOLE BROILER
 | Week 2012 : | 21 | varition             -1week | varition             -1year | variation                    - avg 2007 - 11
 | egg price | 151.5997379 | -0.02164470278137132 | 0.5308725414090198 | 0.4589069406548729
 | broiler price | 188.0529199 | 0.002197791760496282 | 0.0002340021884938981 | 0.0597559779699397
€
Spreadsheet: 861727d1709572182-populate-from-another-sheet-with-duplicates-product-pick-dj
Sheet: Auxiliary

Customer # | Product name
 | Poly Bags
2714 | Sacks
2772 | Strapping
2772 | Green Strapping
2772 | Sacks
2872 | Small Carton
2918 | Large Carton
2920 | Small Carton
3001 | Carton
3003 | Carton
3004 | Carton
3004 | Poly Bags
3004 | Sacks
3006 | Carton
Spreadsheet: 680045d1590758986-consolidate-information-and-return-a-value-with-max-results-in-the-row-return-value-in-a-row
Sheet: Sheet1

 | name1 | 1 | 2019-01-01 00:00:00
 | [NAME] |  | 2019-01-02 00:00:00
 | name3 | 1 | 2019-01-03 00:00:00
 | name4 | 1 | 2019-01-04 00:00:00
 | name5 | 1 | 2019-01-05 00:00:00
 | [NAME] |  | 2019-01-06 00:00:00
 | name3 |  | 2019-01-07 00:00:00
 | name4 | 1 | 2019-01-08 00:00:00
 | name5 |  | 2019-01-09 00:00:00
 | name1 | 1 | 2019-01-10 00:00:00
 | [NAME] |  | 2019-01-11 00:00:00
 | name3 |  | 2019-01-12 00:00:00
 | name4 | 1 | 2019-01-13 00:00:00
 | name5 |  | 2019-01-14 00:00:00
 | [NAME] | 1 | 2019-01-15 00:00:00
Spreadsheet: 878748d1726033925-referencing-multiple-sheet-inorder-to-create-pt-pl2
Sheet: Pivot Table

Sheet Name > | [NAME] |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Sheets | Subjects
Subject > | Science |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Lux | Math
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | [NAME] | Science
 |  |  |  |  |  |  | Another way:
 |  |  |  |  |  |  | First convert the data into tables, naming the tables "Lux" and "[NAME]" respectively
 | Joshep |  |  |  |  |  | Then apply these formulas:
 | Aline |  |  |  |  |  | Name: =UNIQUE(INDIRECT(B1&"[Name]"))
 | [NAME] |  |  |  |  |  | Marks: =SUMIFS(INDIRECT(B1&"[Marks]"),INDIRECT(B1&"[Name]"),E5#,INDIRECT(B1&"[Subject]"),B2)
 |  |  |  |  |  |  | Name: =UNIQUE(FILTER(INDIRECT(B1&"[Name]"),INDIRECT(B1&"[Subject]")=B2))
 |  |  |  |  | Adding unique |  | filtering >1000
 |  |  |  | Name | Marks |  | Name | Marks
 |  |  |  | Shweta |  |  | Shweta
 |  |  | >>>>> | Check | 192 | >>>>>
Spreadsheet: 55074d1255158352-time-scale-solution-sample-20log-1-
Sheet: Sheet1

 | Solo work | Rest | Two-up work
1 |  | 2 |  | 0 | 1 | 0
2 |  | 2 |  | 0 | 1 | 0
3 |  | 2 |  | 0 | 1 | 0
4 |  | 2 |  | 0 | 1 | 0
5 |  | 2 |  | 0 | 1 | 0
6 |  | 2 |  | 0 | 1 | 0
7 |  | 2 |  | 0 | 1 | 0
8 |  | 2 |  | 0 | 1 | 0
9 |  | 2 |  | 0 | 1 | 0
10 |  | 2 |  | 0 | 1 | 0
11 |  | 2 |  | 0 | 1 | 0
12 |  | 2 |  | 0 | 1 | 0
13 |  | 2 |  | 0 | 1 | 0
14 |  | 2 |  | 0 | 1 | 0
15 | 3 |  |  | 1 | 0 | 0
16 | 3 |  |  | 1 | 0 | 0
17 | 3 |  |  | 1 | 0 | 0
18 | 3 |  |  | 1 | 0 | 0
19 | 3 |  |  | 1 | 0 | 0
20 |  | 2 |  | 0 | 1 | 0
21 |  | 2 |  | 0 | 1 | 0
22 |  | 2 |  | 0 | 1 | 0
23 |  |  | 1 | 0 | 0 | 1
24 |  |  | 1 | 0 | 0 | 1
Spreadsheet: 887765d1738086014-index-match-with-date-range-and-sum-them-index-match-with-date-range
Sheet: Sheet1

 | 31509900
From | 2024-08-01 00:00:00
To | 2025-01-01 00:00:00
 |  | 2024-02-01 00:00:00 | 2024-03-01 00:00:00 | 2024-04-01 00:00:00 | 2024-05-01 00:00:00 | 2024-06-01 00:00:00 | 2024-07-01 00:00:00 | 2024-08-01 00:00:00 | 2024-09-01 00:00:00 | 2024-10-01 00:00:00 | 2024-11-01 00:00:00 | 2024-12-01 00:00:00 | 2025-01-01 00:00:00
31509900 | [NAME]. Items | 242 | 299 | 247 | 450 | 1009 | 291 | 375 | 596 | 486 | 37 | 402 | 0
 | Count of Items | 14 | 19 | 15 | 21 | 32 | 15 | 19 | 19 | 12 | 17 | 20 | 10
 | Avg. # of Items | 17.29 | 15.74 | 16.47 | 21.43 | 31.53 | 19.4 | 19.74 | 31.37 | 40.5 | 2.18 | 20.1 | 0
31609900 | [NAME]. Items |  |  | 236 | 302 |  |  |  |  | 81 | 138 | 0
 | Count of Items |  |  | 30 | 64 |  |  |  |  | 20 | 70 | 2
 | Avg. # of Items |  |  | 7.87 | 4.72 |  |  |  |  | 4.05 | 1.97 | 0
Spreadsheet: 117324d1312662864-percentage-of-customers-reply-example1
Sheet: Sheet1

No | cutomer time | adim reply time | durtion
1 | 2011-03-14 08:37:00 | 2011-03-14 08:57:00
2 | 2011-03-14 10:03:00 | 2011-03-14 10:22:00
3 | 2011-03-14 08:37:00 | 2011-03-15 10:57:00
4 | 2011-03-01 21:51:00 | 2011-03-02 07:14:00
5 | 2011-03-02 10:56:00 | 2011-03-02 11:18:00
6 | 2011-03-02 11:20:00 | 2011-03-02 11:30:00
7 | 2011-03-02 11:24:00 | 2011-03-03 11:37:00
Spreadsheet: a5c3c2c6-b957-46c2-8e6d-54a5c9aeface
Sheet: Sheet1

PROG ID | ATHLETE ID | ATHLETE FIRST | ATHLETE LAST | NATIONALITY | START NUMBER | SWIM | T1 | BIKE | T2 | RUN | POSITION | TOTAL TIME
3988 | 7817 | Yuliya | Yelistratova | UKR | 0 | 00:22:53 | 00:00:33 | 01:08:23 | [NAME] | 00:39:31 | 1 | 02:11:59
3988 | 5555 | Yekaterina | Shatnaya | KAZ | 0 | 00:23:46 | [NAME] | 01:10:10 | 00:00:41 | 00:40:03 | 2 | 02:15:19
Spreadsheet: 45630d1244450543-pivot-table-662009104516-2-
Sheet: CUSTOMRPT_0718_662009104516

[Card_Number] | [Quantity] | [Invoice_Rate] | [Invoice_Amount] | [Fleet_No] | [Transaction_Date] | [Odometer] | [Vehicle_Number] | [Product_Name] | [Invoice_Month] | [Registration_Region]
59327407180000100 | 85 | 0.146 | 12.41 | IN-122 | 2009-01-05 00:00:00 | 38966 | 1456 | DIESEL | 5/31/2009 | AD
59327407180000100 | 85 | 0.146 | 12.41 | IN-122 | 2009-01-06 00:00:00 | 38966 | 1456 | DIESEL | 5/31/2009 | AD
59327407180000100 | 85 | 0.146 | 12.41 | IN-122 | 2009-01-07 00:00:00 | 38966 | 1456 | DIESEL | 5/31/2009 | AD
59327407180000100 | 85 | 0.146 | 12.41 | IN-122 | 2009-01-08 00:00:00 | 38966 | 1456 | DIESEL | 5/31/2009 | AD
59327407180000200 | 52 | 0.146 | 7.592 | IN-123 | 2009-01-05 00:00:00 | 84592 | 6298 | DIESEL | 5/31/2009 | KL
59327407180000200 | 52 | 0.146 | 7.592 | IN-123 | 2009-01-06 00:00:00 | 84592 | 6298 | DIESEL | 5/31/2009 | KL
59327407180000200 | 52 | 0.146 | 7.592 | IN-123 | 2009-01-07 00:00:00 | 84592 | 6298 | DIESEL | 5/31/2009 | KL
59327407180000200 | 52 | 0.146 | 7.592 | IN-123 | 2009-01-08 00:00:00 | 84592 | 6298 | DIESEL | 5/31/2009 | KL
59327407180000200 | 147 | 0.146 | 21.462 | IN-124 | 2009-01-05 00:00:00 | 95866 | 1455 | DIESEL | 5/31/2009 | PM
59327407180000200 | 147 | 0.146 | 21.462 | IN-124 | 2009-01-06 00:00:00 | 95866 | 1455 | DIESEL | 5/31/2009 | PM
59327407180000200 | 147 | 0.146 | 21.462 | IN-124 | 2009-01-07 00:00:00 | 95866 | 1455 | DIESEL | 5/31/2009 | PM
59327407180000200 | 147 | 0.146 | 21.462 | IN-124 | 2009-01-08 00:00:00 | 95866 | 1455 | DIESEL | 5/31/2009 | PM
[Fleet_No] | Data | Total
IN-122 | Sum of [Invoice_Amount] | 49.64
 | Sum of [Quantity] | 340
IN-123 | Sum of [Invoice_Amount] | 30.368
 | Sum of [Quantity] | 208
IN-124 | Sum of [Invoice_Amount] | 85.848
 | Sum of [Quantity] | 588
Total Sum of [Invoice_Amount] |  | 165.856
Total Sum of [Quantity] |  | 1136
Spreadsheet: cb9bffbc-e64c-48a0-9ce9-cc054c77f698
Sheet: Sheet1

VIHULA VALLA KÜLAD | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012
AASUMETSA | 7 | 6 | 6 | 6 | 5 | 5 | 5 | 4
ADAKA | 34 | 27 | 22 | 23 | 24 | 20 | 21 | 21
ALTJA | 29 | 28 | 25 | 24 | 23 | 21 | 21 | 25
ANDI | - | - | 3 | 3 | 3 | 3 | 3 | 4
ANNIKVERE | 87 | 85 | 84 | 84 | 76 | 74 | 74 | 72
EISMA | 53 | 48 | 46 | 46 | 45 | 45 | 40 | 36
ERU | 26 | 28 | 18 | 19 | 21 | 19 | 20 | 19
HAILI | 8 | 8 | 7 | 7 | 7 | 7 | 6 | 6
ILUMÄE | 37 | 36 | 38 | 31 | 28 | 28 | 25 | 25
JOANDU | 14 | 13 | 15 | 15 | 15 | 18 | 17 | 17
KAKUVÄLJA | 20 | 27 | 22 | 21 | 20 | 17 | 17 | 16
KAREPA | 37 | 37 | 38 | 38 | 37 | 38 | 35 | 33
KARULA | 90 | 81 | 75 | 76 | 79 | 79 | 78 | 76
KIVA | 12 | 15 | 15 | 16 | 16 | 19 | 19 | 18
KOLJAKU | 48 | 46 | 41 | 39 | 40 | 42 | 38 | 38
KOOLIMÄE | 3 | 3 | 3 | 3 | 3 | 3 | 5 | 5
KORJUSE | 12 | 10 | 9 | 9 | 9 | 8 | 9 | 11
KOSTA | - | - | - | - | - | - | - | 2
KÄSMU | 112 | 131 | 140 | 136 | 139 | 142 | 133 | 135
LAHE | 22 | 25 | 24 | 23 | 20 | 20 | 20 | 22
[NAME] | 5 | 4 | 6 | 5 | 5 | 5 | 5 | 5
LOBI | 19 | 19 | 18 | 18 | 17 | 18 | 18 | 18
METSANURGA | 23 | 22 | 24 | 27 | 29 | 29 | 29 | 32
METSIKU | 24 | 26 | 25 | 25 | 23 | 25 | 25 | 27
[NAME] | 17 | 18 | 18 | 19 | 18 | 19 | 23 | 21
MUSTOJA | 19 | 17 | 15 | 17 | 17 | 16 | 15 | 14
NATTURI | 8 | 6 | 6 | 6 | 6 | 9 | 6 | 5
NOONU | 21 | 23 | 22 | 24 | 22 | 20 | 17 | 16
OANDU | 11 | 13 | 12 | 12 | 12 | 10 | 15 | 15
PAASI | 25 | 25 | 25 | 25 | 24 | 24 | 22 | 22
PAJUVESKI | 23 | 20 | 19 | 16 | 17 | 16 | 15 | 16
PALMSE | 94 | 84 | 80 | 77 | 78 | 86 | 77 | 77
PEDASSAARE | 13 | 14 | 14 | 14 | 14 | 14 | 14 | 11
PIHLASPEA | 15 | 14 | 14 | 13 | 12 | 12 | 10 | 11
RUTJA | 31 | 33 | 34 | 31 | 30 | 28 | 26 | 28
SAGADI | 67 | 65 | 61 | 59 | 58 | 56 | 51 | 49
SAKUSSAARE | 16 | 17 | 18 | 19 | 18 | 18 | 18 | 17
SALATSE | 15 | 9 | 8 | 7 | 11 | 11 | 11 | 11
[NAME] | 20 | 23 | 22 | 21 | 19 | 20 | 19 | 18
TIDRIKU | - | - | - | 1 | 1 | 1 | 1 | 1
TIIGI | 37 | 36 | 37 | 40 | 37 | 39 | 39 | 36
TOOLSE | 25 | 25 | 26 | 26 | 27 | 29 | 27 | 24
TÕUGU | 12 | 11 | 9 | 9 | 9 | 9 | 10 | 10
UUSKÜLA | 7 | 5 | 7 | 12 | 10 | 10 | 13 | 15
VAINUPEA | 25 | 23 | 26 | 28 | 25 | 26 | 25 | 28
VATKU | 14 | 14 | 14 | 13 | 13 | 13 | 13 | 13
VERGI | 110 | 107 | 99 | 95 | 96 | 95 | 93 | 95
VIHULA | 129 | 128 | 119 | 106 | 100 | 98 | 104 | 105
VILA | 6 | 6 | 6 | 6 | 7 | 6 | 6 | 6
VILLANDI | 2 | 2 | 2 | 2 | 3 | 3 | 5 | 5
VÕHMA | 44 | 47 | 48 | 47 | 47 | 46 | 44 | 42
VÕSU ALEVIK | 507 | 498 | 472 | 474 | 457 | 454 | 455 | 451
VÕSUPERE | 151 | 136 | 133 | 138 | 135 | 131 | 129 | 128
KOV täpsusega |  |  |  |  | 8 | 5 | 4 | 5
KOKKU | 2188 | 2144 | 2073 | 2051 | 2015 | 2009 | 1970 | 1962
Spreadsheet: jeff_dasovich__14103__California PJM and NE Tables revised2
Sheet: A24

TABLE A24   FREQUENCY OF PRICE SPIKES IN THE PJM INTERCONNECTION REAL-TIME ENERGY MARKET
PRICE EQUALS OR EXCEEDS | FY 00/99 | FY 99/98
 | # of hours
 | % of available hours
100 | 41 | 120
 | 0.00467 | 0.0137
250 | 11 | 85
 | 0.00125 | 0.0097
500 | 2 | 63
 | 0.00023 | 0.00719
750 | 0 | 50
 | 0 | 0.00571
1000 | 0 | 0
 | 0 | 0
Source: PJM ISO Website (www.pjm.com).
FY 00/99: 8/16/1999-8/15/2000
FY 99/98: 8/16/1998-8/15/1999
Spreadsheet: 230981d1366915173-group-scores-based-on-value-in-first-column-tournament_excelforum_jlm099
Sheet: Sheet1

DATA
tournament | [NAME] | [NAME] | [NAME] | [NAME] | Player B1 | Pts B1 | Player B2 | Pts B2
Tournament 1 | [NAME] | 1 | [NAME] | 1 | Anna | 1 | [NAME] | 1
Tournament 1 | [NAME] | 0 | [NAME] | 0 | [NAME] | 2 | [NAME] | 2
Tournament 1 | [NAME] | 2 | [NAME] | 2 | [NAME] | 0 | [NAME] | 0
Tournament 2 | [NAME] | 2 | [NAME] | 2 | [NAME] | 0 | [NAME] | 0
Tournament 2 | [NAME] | 1 | Anna | 1 | [NAME] | 1 | [NAME] | 1
...
Tournament N | [NAME] | 1 | [NAME] | 1 | [NAME] | 1 | [NAME] | 1
Tournament N | [NAME] | 2 | [NAME] | 2 | [NAME] | 0 | [NAME] | 0
OUTPUT I WOULD LIKE TO ACHIEVE:
SCORES | Tournament
 | ALL | Tournament A | Tournament 2 | ... | N
Anna | 2 | 1 | 1 |  | leave empty or mark "did not participate"
[NAME] | 4 | 1 | 1 |  | 2
[NAME] | 6 | 2 | 2 |  | 2
[NAME]
[NAME]
[NAME]
[NAME]
[NAME] | 2 | 1 | leave empty or mark "did not participate" |  | 1
Spreadsheet: 795311d1662625431-return-to-specific-value-skip-blank-according-to-the-new-increment-in-specific-items-return-to-specific-value-skip-blank-according-to-the-new-increment-in-specific-items
Sheet: Sheet1

 | Return to specific value skip blank, according to the new increment in specific items
 |  |  |  |  |  |  |  | wrong formula |  |  | Correct Result |  | Correct Result
 | Date | Inv-numbers |  | oranges | tomatoes |  |  | oranges | << Drop list |  | if = oranges |  | if = tomatoes
 | 2015-05-01 00:00:00 | 1 |  | 1 | 1 |  |  |  |  |  | 1 |  | 1
 | 2015-05-02 00:00:00 | 2 |  | 1 | 1 |  |  |  |  |  | 5 |  | 3
 | 2015-05-03 00:00:00 | 3 |  | 1 | 2 |  |  |  |  |  |  |  | 9
 | 2015-05-04 00:00:00 | 4 |  | 1 | 2 |  |  |  |  |  |  |  | 10
 | 2015-05-05 00:00:00 | 5 |  | 2 | 2
 | 2015-05-06 00:00:00 | 6 |  | 2 | 2
 | 2015-05-07 00:00:00 | 7 |  | 2 | 2
 | 2015-05-08 00:00:00 | 8 |  | 2 | 2
 | 2015-05-09 00:00:00 | 9 |  | 2 | 3
 | 2015-05-10 00:00:00 | 10 |  | 2 | 4
Spreadsheet: 841641d1693827836-matrix-lookup-help-rates-matrix-example
Sheet: Sheet1

Post Code Selection (Dropdown) | Weight (Dropdown) | Cheapest Carrier  (auto return based on post code and weight)
Post Code A | 1kg | Carrier 1
 | Example Data below
 | Post Code | Weight of Consignment | Carrier 1 | [NAME]
 | Post Code A | 1kg | 4 | 10
 | Post Code A | 2kg | 7 | 7
 | Post Code A | 3kg | 9 | 2
 | Post Code B | 1kg | 10 | 7
 | Post Code B | 2kg | 6 | 4
 | Post Code B | 3kg | 7 | 3
 | Post Code C | 1kg | 1 | 9
 | Post Code C | 2kg | 2 | 5
 | Post Code C | 3kg | 5 | 4
Spreadsheet: 159118d1338498879-vlookup-help-sample-vikirnoff-oeldere-
Sheet: Blad1

 | Waarden
Rijlabels | Som van New Accounts | Som van Sales
[NAME] | 0 | 0
2012-03-04 00:00:00 | 0 | 0
2012-03-11 00:00:00 | 0 | 0
2012-03-18 00:00:00 | 0 | 0
[NAME] | 0 | 0
2012-03-04 00:00:00 | 0 | 0
2012-03-11 00:00:00 | 0 | 0
2012-03-18 00:00:00 | 0 | 0
Company | 483 | 105
2012-03-04 00:00:00 | 231 | 38
2012-03-11 00:00:00 | 149 | 42
2012-03-18 00:00:00 | 103 | 25
[NAME] | 34 | 5
2012-03-04 00:00:00 | 21 | 0
2012-03-11 00:00:00 | 7 | 2
2012-03-18 00:00:00 | 6 | 3
[NAME] | 30 | 4
2012-03-04 00:00:00 | 11 | 0
2012-03-11 00:00:00 | 10 | 0
2012-03-18 00:00:00 | 9 | 4
Store 1 | 40 | 21
2012-03-04 00:00:00 | 17 | 12
2012-03-11 00:00:00 | 12 | 5
2012-03-18 00:00:00 | 11 | 4
Store 2 | 135 | 8
2012-03-04 00:00:00 | 98 | 1
2012-03-11 00:00:00 | 31 | 4
2012-03-18 00:00:00 | 6 | 3
Store 3 | 52 | 11
2012-03-04 00:00:00 | 18 | 8
2012-03-11 00:00:00 | 23 | 3
2012-03-18 00:00:00 | 11 | 0
Store 4 | 50 | 11
2012-03-04 00:00:00 | 18 | 2
2012-03-11 00:00:00 | 15 | 5
2012-03-18 00:00:00 | 17 | 4
Store 5 | 65 | 16
2012-03-04 00:00:00 | 28 | 3
2012-03-11 00:00:00 | 19 | 7
2012-03-18 00:00:00 | 18 | 6
Store 6 | 141 | 38
2012-03-04 00:00:00 | 52 | 12
2012-03-11 00:00:00 | 49 | 18
2012-03-18 00:00:00 | 40 | 8
Eindtotaal | 1030 | 219
Spreadsheet: 758558d1638950227-artikelnummers-laten-weten-wanneer-er-minder-dan-4-dezelfde-artikelnummers-inzitten-cfexample
Sheet: Sheet1

Art.nr
8026953
8026953
8026953
8026953
8026956
8026956
8026956
8026956
8026970
8026970
8026970
8026987
8026987
8026987
8026987
8027000
8027000
8027000
8027000
Spreadsheet: 63d4cfcc-be8f-4c33-a617-56b0bee23576
Sheet: WSport

2014 National Junior Olympic Championships
25m Sport Pistol Women Results
12 April 2014
Champion |  |  |  |  |  | [NAME] |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 578
2nd Place |  |  |  |  |  | [NAME] |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 552
3rd Place |  |  |  |  |  | [NAME] |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 550
J2 1st Place |  |  |  |  |  | [NAME] |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 529
J2 2nd Place |  |  |  |  |  | [NAME] |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 513
J2 3rd Place |  |  |  |  |  | [NAME] |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 511
Rank | Bib | First | LAST | Membership | State | Cat | 1 | 2 | 3 | 4 | 5 | 6 | Qual | X | Final | SO | SO | SO | SO | Medal | Pts | Total
1 | 107 | Irina | ANDRIANOVA | 1206 | IL | J1 | 94 | 97 | 98 | 92 | 92 | 98 |  | 18 | 7 | 2 |  |  |  | 7 | 7
2 | 159 | [NAME] | CHUNG | 1031511 | CA | J1 | 89 | 90 | 89 | 94 | 93 | 93 |  | 7 | 6 |  |  |  |  |  | 4
3 | 217 | [NAME] | GALLEGOS | 116854 | TX | J1 | 91 | 96 | 90 | 86 | 87 | 92 |  | 5 | 10 |  |  |  |  | 9 | 8
4 | 157 | Janice | CHOI | 2546 | CA | J1 | 92 | 85 | 93 | 91 | 91 | 92 |  | 10 | 6 |  |  |  |  |  | 3
5 | 375 | Helen | OH | 1031509 | CA | J1 | 91 | 92 | 94 | 88 | 89 | 86 |  | 6 | 7 | 1 | 2 | 2 | 1 | 4 | 5
6 | 213 | [NAME] | FOSTER | 1032849 | TX | J2 | 91 | 93 | 92 | 81 | 90 | 82 |  | 4 | 3 |  |  |  |  |  | 1
7 | 382 | Lydia | PATERSON | 1032279 | KS | J1 | 90 | 89 | 90 | 88 | 78 | 86 |  | 5 | 7 | 1 | 2 | 2 | 0 | 8 | 6
8 | 281 | [NAME] | JENKINS | 1032480 | LA | J2 | 91 | 84 | 82 | 91 | 84 | 81 |  | 3 | 4 |  |  |  |  |  | 2
9 | 305 | [NAME] | KLEJESKI | 1034405 | MN | J2 | 91 | 77 | 89 | 91 | 77 | 86 |  | 7
10 | 291 | Ambrosia | KEEFE | 1033452 | IL | J1 | 90 | 89 | 83 | 79 | 81 | 89 |  | 1
11 | 111 | Charlotte | ASDAL | APPLIED | MD | J1 | 85 | 83 | 79 | 88 | 90 | 79 |  | 2
12 | 327 | Isabel | MACAULAY | 115551 | MA | J2 | 86 | 81 | 82 | 87 | 87 | 76 |  | 3
13 | 451 | Morgan | SPEIGHT | APPLIED | MD | J1 | 80 | 85 | 82 | 75 | 90 | 76 |  | 1
14 | 338 | Katrinia | MARTINEZ | 1033799 | SD | J1 | 82 | 75 | 86 | 70 | 86 | 80 |  | 1
15 | 365 | Macy | NELSON | 1033801 | ND | J1 | 81 | 85 | 79 | 86 | 77 | 58 |  | 3
16 | 438 | Darian | SHENK | 1179 | PA | J1 |  |  |  |  |  |  | DNS
Spreadsheet: 1a51eac1-42d9-447b-9ac3-28b8ac5969b1
Sheet: Sheet2

Yes | 1
No | 2
FY02 | 3
FY03 | 4
FY04 | 5
FY05 | 6
FY06 | 7
FY07 | 8
FY08 | 9
FY09 | 10
FY10
FY12
FY13
FY14
FY15
FY16
NC
NC-1
NC-2
NC-3
NC-4
NC-5
NC-6
NC-7
NC-8
NC-9
NC-10
NC-11
NC-12
NC-13
Spreadsheet: 0f6f6c61-d5f4-4680-8e26-03b0e879e43e
Sheet: Sheet1

Unnamed: 0 | Unnamed: 1 | Unnamed: 2 | MINISTÉRIO DO TRABALHO E DA SOLIDARIEDADE SOCIAL  Secretaria de Estado do Emprego e da Formação Profissional | Unnamed: 4 | Unnamed: 5 | Unnamed: 6 | Unnamed: 7 | Unnamed: 8 | Unnamed: 9 | Unnamed: 10 | Unnamed: 11 | Unnamed: 12 | Unnamed: 13 | Unnamed: 14 | Unnamed: 15 | Unnamed: 16 | Unnamed: 17 | Unnamed: 18 | Unnamed: 19 | Unnamed: 20 | Unnamed: 21 | Unnamed: 22 | Unnamed: 23 | Unnamed: 24 | Unnamed: 25 | Unnamed: 26 | Unnamed: 27 | Unnamed: 28 | Unnamed: 29 | Unnamed: 30 | Unnamed: 31 | Unnamed: 32 | Unnamed: 33 | Unnamed: 34 | Unnamed: 35 | Unnamed: 36 | Unnamed: 37 | Unnamed: 38 | Unnamed: 39
União Europeia |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | IEFP, [NAME]
[NAME] |  |  | PROGRAMAS OCUPACIONAIS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | MAPA DE ASSIDUIDADE [NAME]
 | 1. IDENTIFICAÇÃO DO PROJECTO |  |  |  |  |  |  |  |  |  |  |  | 2. IDENTIFICAÇÃO DA ENTIDADE PROMOTORA
 | Projecto n.º |  |  |  |  |  |  |  |  |  |  |  | 2.1  Denominação social
 | 3. PERÍODO A QUE SE REPORTA O MAPA |  |  |  |  |  |  |  |  |  |  |  | 2.2  NIPC
 | MÊS/ANO:
Nome dos Destinatários |  |  |  | DIAS DE COMPARÊNCIA E FALTAS |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Faltas |  |  | C | FJ+C
 |  |  |  | 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 | FJ | FI | FT
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | Folha nº /num total de
Spreadsheet: 72568d1273246205-excel-2007-vlookup-across-multiple-worksheets-store
Sheet: Store1

Date | Bananas | Pears | Apples
40179 | 234 | 3 | 222
2010-01-25 00:00:00 | 300 | 23 | 222
2010-02-15 00:00:00 | 10 | 66 | 20
2010-03-25 00:00:00 | 150 | 48 | 63
Spreadsheet: 707420d1607261797-using-a-list-to-reduce-worksheets-midshires-master-ans
Sheet: NA

 |  |  |  | ADJUSTED HANDICAP |  |  |  |  |  | OFFICIAL HANDICAP |  |  |  |  | HANDICAPPING ALTERATIONS
hole | par | S/I | SHOTS | CALC | points | PAR 3 | SI/1 | SI/2 | S1/3 | SI/1 | S1/2 | S1/3 | CALC | points | EXACT | catagory | BUFFER | css | Nett | adjustment
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | HANDICAP |  | ZONE |  | Differential
 |  |  |  |  |  |  |  |  |  |  |  |  |  |  | sss | css adj | "RO"
in
out |  |  |  |  |  | TOTAL
total
Spreadsheet: 32944d1229103984-moving-data-addresses-from-rows-to-columns-indirect-manual-transpose
Sheet: Sheet1

Mr [NAME] (row 1)
123 The Avenue (row2) |  |  |  | 0 | Mr [NAME] (row 1) | 123 The Avenue (row2) | The town (row 3) | The postcode (row 4)
The town (row 3) |  |  |  | 5 | [NAME] (row 6) | 456 The street (row7) | A town (r0w6) | The postcode (row 9)
The postcode (row 4) |  |  |  | 10 | [NAME] (row 12) | 452 The street (row13) | Another town (row14) | The postcode (row 15)
 |  |  |  | 15 | [NAME] | 123 The Avenue (row2) | The town (row 3) | The postcode (row 4)
[NAME] (row 6) |  |  |  | 20 | Philips | 456 The street (row7) | A town (r0w6) | The postcode (row 9)
456 The street (row7) |  |  |  | 25 | Townsend | 452 The street (row13) | Another town (row14) | The postcode (row 15)
A town (r0w6) |  |  |  | 30
The postcode (row 9) |  |  |  | 35
 |  |  |  | 40
[NAME] (row 12) |  |  |  | 45
452 The street (row13) |  |  |  | 50
Another town (row14) |  |  |  | 55
The postcode (row 15) |  |  |  | 60
 |  |  |  | 65
[NAME] |  |  |  | 70
123 The Avenue (row2) |  |  |  | 75
The town (row 3) |  |  |  | 80
The postcode (row 4) |  |  |  | 85
 |  |  |  | 90
Philips |  |  |  | 95
456 The street (row7) |  |  |  | 100
A town (r0w6) |  |  |  | 105
The postcode (row 9)
Townsend
452 The street (row13)
Another town (row14)
The postcode (row 15)
Spreadsheet: 110026d1306835024-help-with-extracting-data-excel-help
Sheet: Sheet1

Example table
Using the data highlighted I would like excel to find values between -0.5 and 0.5 and to then copy the data to a new worksheet
my data is around 6000 rows long and I have several tables I would like to do this too.
 | Data 1 | Data 2 | Data 3 | Data 4 | Data 5 | Data 6
 | 1 | 21.80000000000006 | 17.80000000000006 | 19.80000000000006 | 12.69000000000006 | 21.80000000000006
 | 0.9 | 21.80000000000006 | 18.20000000000006 | 18.00000000000005 | 10.89000000000005 | 24.22222222222229
 | 0.8 | 21.80000000000006 | 18.60000000000006 | 16.16000000000005 | 9.05000000000005 | 27.25000000000007
 | 0.7 | 21.80000000000006 | 19.00000000000006 | 14.28 | 7.170000000000038 | 31.14285714285723
 | 0.6 | 21.80000000000006 | 19.40000000000006 | 12.36 | 5.250000000000035 | 36.33333333333343
 | 0.5 | 21.80000000000006 | 19.80000000000006 | 10.4 | -0.2 | 43.60000000000012
 | 0.4 | 21.80000000000006 | 20.20000000000006 | 8.400000000000023 | 1.290000000000023 | 54.50000000000014
Spreadsheet: b1b210b4-636a-487e-8d36-4eff79507d5a
Sheet: POD Sun

 | Plan of the Day
 | Sunday, April 28, 2013
Time: | Event: | Place:
0630 | [NAME] for Galley Staff
0700 | [NAME] for all hands
0700 | Galley crew Reports | Galley
0730 | Breakfast for all hands | [NAME]
0800 | Colors | Parade Ground
0805 | Uniform Inspection | Parade Ground
0830 | Regional Parting words | [NAME]
0845 | [NAME] | [NAME]
0900 | All Protests Evaluated | Central Accounting
0900 | Commence Assigned Clean-up | All Areas
1000 | Awards and Recognitions | [NAME]
1030 | Officers Meeting | Central Accounting
1030 - 1200 | Final Clean-up | All Areas
1100 | Pick-up "Travel Food" | Galley
1200 | Regatta 2012 Closed
 | Travel Safely