DCPAIRS: A Pairs Plot Based Decision Support System

(1)

HAL Id: hal-01516470

https://hal.inria.fr/hal-01516470

Submitted on 1 May 2017

HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci- entific research documents, whether they are pub- lished or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers.

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

DCPAIRS: A Pairs Plot Based Decision Support System

Evanthia Dimara, Paola Valdivia, Christoph Kinkeldey

To cite this version:

Evanthia Dimara, Paola Valdivia, Christoph Kinkeldey. DCPAIRS: A Pairs Plot Based Decision Support System. EuroVis - 19th EG/VGTC Conference on Visualization, Jun 2017, Barcelona, Spain.

�hal-01516470�

(2)

Eurographics Conference on Visualization (EuroVis), Posters Track (2017) A. Puig Puig and T. Isenberg (Guest Editors)

D C P AIRS : A Pairs Plot Based Decision Support System

Evanthia Dimara¹, Paola Valdivia²and Christoph Kinkeldey¹

1Inria, France

2University of São Paulo, Brazil

5%

37.5 37.5 37.5 37.5 37.5

37.5 37.537.5 37.537.5

Show me remove

University of Copenhagen academic reputation: 89 employer reputation: 78.9 student / faculty: 99.7 international faculty(%): 67.5 international students(%): 37.5 citations per faculty: 57.4

art sciences: 72.1

engineering: 68.4

life sciences: 80.6

natural sciences: 77.6 social sciences: 74.9

overall: 80.5

attribute no 1: 100

attribute no 2: 100

attribute no 3: 100

attribute no 4: 100

attribute no 5: 100

attribute no 6: 100

attribute no 7: 100

attribute no 8: 100

attribute no 9: 100

attribute no 10: 100

attribute no 11: 100

high academic academic academic academic academic reputation reputation reputation reputation reputation

high employeremployeremployeremployeremployer reputationreputationreputationreputationreputation

high student / student / student / student / student / faculty faculty faculty faculty faculty

high international internationalinternational international international faculty(%) faculty(%)faculty(%) faculty(%) faculty(%)

high international international international international international students(%) students(%) students(%) students(%) students(%)

high citations citations citations citations citations per faculty per faculty per faculty per faculty per faculty

Color the dots Color the dots Color the dots Color the dots Color the dots Color the dots

No color No color No color No color No color No color

high artartartartart sciencessciencessciencessciencessciences

high engineering engineering engineering engineering engineering

high life life life life life sciences sciences sciences sciences sciences

high natural natural natural natural natural sciences sciences sciences sciences sciences high social social social social social sciences sciences sciences sciences sciences

high overall overalloverall overall overall

low attribute no attribute no attribute no attribute no attribute no

11111 low

attribute no attribute no attribute no attribute no attribute no

22222 low

attribute no attribute noattribute no attribute no attribute no

33333 low

attribute no attribute no attribute no attribute no attribute no 44444

low attribute no attribute no attribute no attribute no attribute no

55555 low

66666 low

attribute no attribute noattribute no attribute no attribute no

77777 low

88888 low

attribute noattribute noattribute noattribute noattribute no 99999 low attribute no attribute no attribute no attribute no attribute no 10 10 1010 10

low attribute no attribute no attribute no attribute no attribute no 1111 11 11

11 low

attribute no attribute noattribute no attribute no attribute no 121212 12

12 low

attribute no attribute no attribute no attribute no attribute no 1313 13 13

13 low

attribute noattribute noattribute noattribute noattribute no 1414141414 low

attribute no attribute no attribute no attribute no attribute no 1515 15 15 15

low attribute no attribute no attribute no attribute no attribute no 16 16 16 16

16 low

17 low

attribute no attribute noattribute no attribute no attribute no 18 1818 18 18

low attribute no attribute noattribute no attribute no attribute no 19 191919 19

low attribute noattribute noattribute noattribute noattribute no 2020202020 low

21 low

attribute no attribute no attribute no attribute no attribute no 22 22 22 22 22

23 low

24 low

attribute no attribute noattribute no attribute no attribute no 25 2525 25

25 low

26 low

28 low

low attribute no attribute no attribute no attribute no attribute no 30 30 30 30 30

low attribute no attribute no attribute no attribute no attribute no 32 32 32 32 32 low attribute no attribute noattribute no attribute no attribute no 33 3333 33 33

low attribute no attribute no attribute no attribute no attribute no 34 34 3434 34 low attribute noattribute noattribute noattribute noattribute no 3535353535

low attribute no attribute no attribute no attribute no attribute no 37 37 37 37 37 low attribute no attribute noattribute no attribute no attribute no 38 3838 38 38

40 low

low attribute no attribute noattribute no attribute no attribute no 42 4242 42 42 low

45 low

46 low

47 low

48 low

attribute noattribute noattribute noattribute noattribute no 4949494949

low attribute no attribute no attribute no attribute no attribute no 5050 50 50

50 low

51 low

52 low

53 low

55 low

56 low

57 low

58 low

61 low

62 low

63 low

64 low

66 low

67 low

68 low

69 low

71 low

73 low

74 low

75 low

76 low

78 low

low attribute noattribute noattribute noattribute noattribute no 8080808080

81 low

83 low

84 low

attribute no attribute noattribute no attribute no attribute no 85 8585 85 85

6570 7580 8590 9510030405060708090 10010203040506070809010030405060708090100 40 5060 70 80 90 100

86 88 90 92 94 96 98 100

65 70 75 80 85 90 95 100

30 40 50 60 70 80 90 100

10 20 30 40 50 60 70 80 90 100

30 40 50 60 70 80 90 100

candidates no chance hard to get too far Edit label

a)

b)

c) d)

e)

f)

65 7075 8085 909510030405060 70809010010203040506070809010030405060 70809010040 50 60 7080 90 100

86 88 90 92 94 96 98 100

65 70 75 80 85 90 95 100

30 40 50 60 70 80 90 100

10 20 30 40 50 60 70 80 90 100

30 40 50 60 70 80 90 100 77

77 77 77 77

96 9696 9696 high

academicacademicacademicacademicacademic reputationreputationreputationreputationreputation

high employer employer employer employer employer reputation reputation reputation reputation reputation

high student / student / student / student / student / faculty faculty faculty faculty faculty

high international international international international international faculty(%) faculty(%) faculty(%) faculty(%) faculty(%)

high international international international international international students(%) students(%) students(%) students(%) students(%)

high citationscitationscitationscitationscitations per facultyper facultyper facultyper facultyper faculty

high artartartartart sciencessciencessciencessciencessciences

high engineeringengineeringengineeringengineeringengineering

high life life life life life sciences sciences sciences sciences sciences

high naturalnaturalnaturalnaturalnatural sciencessciencessciencessciencessciences high

social social social social social sciences sciences sciences sciences sciences high

overall overall overall overall overall

low attribute noattribute noattribute noattribute noattribute no

11111 low

22222 low

33333 low

attribute no attribute no attribute no attribute no attribute no 44444

low attribute noattribute noattribute noattribute noattribute no 55555

low attribute no attribute no attribute no attribute no attribute no 66666

11 low

12 low

13 low

14 low

17 low

18 low

19 low

20 low

24 low

25 low

26 low

27 low

29 low

32 low

33 low

34 low

35 low

37 low

38 low

low attribute no attribute no attribute no attribute no attribute no 42 42 4242 42 low attribute no attribute no attribute no attribute no attribute no 43 43 4343 43

low attribute no attribute no attribute no attribute no attribute no 47 47 4747 47 low attribute no attribute no attribute no attribute no attribute no 48 48 4848 48

51 low

52 low

53 low

54 low

56 low

57 low

58 low

59 low

62 low

63 low

64 low

65 low

67 low

68 low

69 low

70 low

74 low

75 low

76 low

77 low

79 low

80 low

81 low

82 low

84 low

h) g)

Figure 1:DCPAIRSoverview: Initial view before the user assigns importance weights (left). Use case scenario described in section2(right) Abstract

Visualizations designed to support multi-attribute decisions often use colors to encode the identity of the attributes. This approach facilitates mapping of attributes across multiple coordinated views but it has certain limitations: colors often communicate semantics (e.g., red stands for “danger”) deemed to influence the user’s preference, and qualitative color palettes are of limited scalability. We are currently developing a tool with an alternative approach,DCPAIRS: a pairs plot based decision making support tool that employs a compact overview of the decision space and uses visual encodings that communicate un- certainty and suboptimal preference elicitation. Instead of encoding the identity of attributes we use colors for user-authored annotations to support the decision making process. A use case scenario of a prospective undergraduate student choosing a university from the “QS world university ranking” dataset illustrates the functionality of the tool.

Categories and Subject Descriptors(according to ACM CCS): Visualization System and Toolkit Design, Scalability Issues, Mul- tidimensional Data

1. Introduction and Background

Decision making can be a complex process involving a high number ofattributesto take into account. An example is a real estate purchase that may be based on price, size, the number of rooms, location (distance to work, schools, public transport, neighborhood quality), etc. Since there is rarely a single optimal alternative, peo- ple often need to consider trade-offs between different attributes (e.g., price vs. size) for which personal preferences play an impor-

tant role. Visualization systems for decision support assist users in finding the best alternative by letting them compare the alternatives according to their preferences [GLG^∗13,PSTW^∗17,CL04]. Such preferences are expressed by assigning a personal importance score to each one of the attributes (often calledattribute weights).

A critical point in the design of decision support tools is that, apart from representing the choice alternatives (data points), design emphasis is also given to the attributes’ representation. Most

c

2017 The Author(s)

Eurographics Proceedings c2017 The Eurographics Association.