HYPERVARIATE DATA VISUALIZATION

Transcription

1 HYPERVARIATE DATA VISUALIZATION Prof. Rahul C. Basole CS/MGT 8803-DV > January 25, 2017

2 Agenda Hypervariate Data Project Elevator Pitch

3 Hypervariate Data (n > 3) Many well-known visualization techniques exist for datasets of 1-3 dimensions. We discussed these last time. What about data sets with more than 3 variables (n>3)? Often the interesting, challenging ones Many problems are lower-dimensional hypervariate (4-20) Could use additional data mark properties to encode additional data variables

4 Consider the following Design Challenge Data set of 500 cases Attributes 5 quantitative 4 nominal 2 ordinal Design a Visualization

5 Here is one crazy idea Use a Spreadsheet Each variable is positioned into a column Data cases are rows This is a projection (mapping)

6 Or we can use Multiple Views A B C D E Case 1 Case 2 Case 3 Give each variable its own display. A B C D E Case 4

7 Scatterplot Matrix (n>3) Represent each possible pair of variables in their own 2D scatterplot. Good if pairwise correlation is key.

8 What if we want to handle all datasets generically?

9 Iconic Representations Glyph (graphical object) represents a data case Visual properties of glyph represent different variables

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11 Chernoff Face (n>3) Encode different variables values in characteristics of human face n=11 Herman Chernoff (1973). "The Use of Faces to Represent Points in K-Dimensional Space Graphically". Journal of the American Statistical Association, 68 (342):

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13 Star Plots (n>3) Also known by various other names such as radar chart, spider chart, cobweb chart, polar chart etc.

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15 Small Multiples of Star Plots

16 Glyphs (n > 3) Think of them as generalizations of star charts and Chernoff faces. A mark a shape or form that can be varied in n ways. 12 variables can be encoded 4 angles, 4 lengths, 4 thicknesses

17 Table Lens Idea: Make the text more visual and symbolic Just leverage basic bar chart idea Change quantitative values to bars What about nominal data?

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19 LineUp

20 What about Categorical Data? How about multivariate categorical data? Students Gender: Female, male Eye color: Brown, blue, green, hazel Hair color: Black, red, brown, blonde, gray Home country: USA, China, Italy, India,...

21 Mosaic Plot

22 Parallel Coordinates Brushable Reorderable Axes

23 Making Sense of Parallel Coordinates

24 Pixel Displays Represent data case or a variable as a pixel (or as a small glyph such as a circle) Million or more per display Seems to rely on use of color Can pack lots in Challenge: What s the layout? What does position mean?

25 One representation Grouping arrangement One pixel per variable Each data case has its own small rectangular icon Plot out variables for data point in that icon using a grid or spiral layout

26 Illustration Levkowitz Vis 91

27 Sand Dance

28 Design Exercise Pair Up. Visualize the data using any of the techniques we discussed in class. Use colored pencils if needed. Be prepared to discuss/present why you chose a particular technique and how you encoded it. Be creative. Name XONE PS4 PC Gamespot Meta Critic New Price Used Price Genre Titanfall 2 Yes Yes Yes Action Forza Horizon Yes No Yes Sports FIFA 17 Yes Yes Yes Sports Raven s Cry Yes Yes Yes Strategy Gravity Rush No Yes No Action Civilization VI No No Yes Strategy

29 PM1: Elevator Pitch

30 PM2: Teams List your team members + s Name your team. Provide one sentence description of your project topic. Include tag of your topic [Business, Health, Sports, Social Media] Submit PM2 on T-Square.