Transcription

1 ( )

2

3 i

4 API ii

5 iii

6 ( ) sex survived s iv

7 1 1.1 (Nominal variables) (Ordinal variables) (Quantitative variables) 3 [1] (Categorical data) (Qualitative data) (Quantitative data) (Numerical data) (Attribute) (Category)

8 1.4 SPSS Microsoft Excel : ( ) ( )

9 1.2: (Contingency Table) 1.1: :

10 (Dimension) (Multidimensional data) (Multivariate data)

11 Parallel coordinates[2] SCATTERDICE[3] Dust & Magnet[4] SGVIEWR[5] Parallel coordinates[2] Parallel Sets[6] 5

12 Cobweb diagram[7] Mosaic Display[8] 2 3 Cattrees[9] Treemap[10] Treemap Cattrees Treemap Hammock Plots[11] Parallel coordinates Parallel sets[6] Parallel coordinates[2] Mosaic Display[8] Parallel coordinates 3 Parallel sets SQiRL[12] SQiRL & 2.3 Trellis Display[13] Pixel Bar Chart[14] Hierarchical Pixcel Bar Chart[15] Pixel Bar Chart Table Lens[16] 6

13 2.4 SellTrend[17] Treemap Set o gram[18] FanLens[19] 2.5 Polaris[20] & XmdvTool[21] GGobi[22] Parallel coodinates Brushing Zoom 7

14

15 10 AND 3.2 Shneiderman Mantra[23] Microsoft Excel & 9

16 AND

17 4.1: 4.2: [24] : 4.4: 4.5: [24] [24]

18 ( 4.6 ) ( 4.6 ) ( 4.6 ) 4.6: [25] 12

19 13

20 Linking&Brushing[26] Linking[27] Linking Brushing[28] Brushing ( 5.1) 5.1: 14

21 : ( ) 15

22 5.2.1 ( 5.3) 5.3: ( 5.4) ( 5.5) 16

23 5.4: 5.5: 17

24 5.2.4 ( 5.6) Bar Stacked Stacked % 5.6: API C#(Microsoft.NET Framework 3.5) API Microsoft Chart Controls CSV 18

25 & ( 5.7) 5.7: ( 5.8) 5.8: 19

26 5.4.2 ( 5.9 ) 5.9: ( 5.11)

27 5.10: 5.11: ( 5.6) 21

28 5.5 (Forcebased algorithms)[29][30] ( 5.13) 5.12: Algorithm1 N,E 1, E 2,, E k distance(c i, C j ) C i C j radius(e k ) E k Algorithm 1 loop for all E i N do v = (0, 0) for all E j N and E i E j do distance distance(e i, E j ) if distance < radius(e i ) + radius(e j ) then Caluculate a vector v ij from E i to E j v v + v ij end if end for Move E i in the direction of v end for end loop 22

29 5.13: : Algorithm2 Label k 23

30 Algorithm 2 repeat for all E i N do distance distance(e i, Label) Caluculate a vector v from E i to Label Move E i in the direction of v distance k end for until Mousebutton is released 24

31 : class 1st, 2nd, 3rd sex female, male survived survived, died age age categorized 10 10s, 20s, 30s,, 90s embarked home.dest / room ticket boat female male 2 femalemale ( 6.1) 6.1 survived surviveddied survived died

32 6.1: sex 6.2 class 3rd 20% 1st 60% sex 3 age categorized child 70s 100% 70s 70s 70s 70s ( 6.3) 70s 1st 2nd3rd1st 26

33 6.2: survived 27

34 6.3: 70s 28

35 A B C : Q1 Q2 Q3 PHS Q4 Q5 Q6 Q7 Q8PHS Q9PHS Q10PHS Q6 Q11 Q12. Q ( SPSS Japan( SPSS 29

36 ( 6.4) 6.4: Q1 A C B A C B Q1 A B C 3 ( 6.5) C 40 A C B A C 30

37 6.5: 31

38 Microsoft Excel

39 ( ) Q1 A ( ) Q4 Q8 Q

40 7.3.3 ( ) Q3 B 1 2 ( 1) Q2 2 3 ( 2) Q :

41 ( ) ( ) Pivot table + Our tool + 7.2: Pivot table null Pivot table Pivot table Pivot table Pivot table Pivot table Pivot table Pivot table Our tool Our tool Our tool Our tool Our tool Our tool Our tool Our tool = 4= 3= 2= 1= 7.5 ( 7.1)

42 7.1: 7.3: = 4= 3= 2= 1=

43 n O(n 2 ) 37

44 8 38

45 2 NAIS WAVE Ubiquitous 2 39

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