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Multivariate Visualization. Projection Distortion.

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Presentation on theme: "Multivariate Visualization. Projection Distortion."— Presentation transcript:

1 Multivariate Visualization

2 Projection

3

4

5 Distortion

6 Parallel Coordinates

7 Pairwise Comparisons

8 Graphical Excellence Minimize non-data ink Allow data ink to perform more than one purpose Carry data information Serve a design function Show multiple pieces of data Multifunctioning Graphical Elements

9 Principles Mobilize every graphical element, perhaps several times over, to show the data

10 Tufte pg 152

11 Data-Built Data Measures Graphical element that plots the data: data measure Ayres (1919) Number of divisions Which divisions Duration of stay

12 Dot Maps

13 Chernoff Faces

14

15

16 Bubble Plot Authorline chat thread Red: initiated by author Blue: initiated by someone else http://www.cmu.edu/joss/content/articles/volume8/Welser/

17 Color

18

19 Principles Mobilize every graphical element, perhaps several times over, to show the data Maximize Data Density and the size of the Data Matrix Data rich  context and credibility

20 Small Multiples Graphics can be shrunk Series of graphics showing same combination of variables Indexed by changes in another variable

21 El Nino

22 http://www.nytimes.com/packages/html/politics/2004_ELECTIONGUIDE_GRAPHIChttp://www.nytimes.com/packages/html/politics/2004_ELECTIONGUIDE_GRAPHIC/

23 Interaction http://www.nytimes.com/interactive/2008/02/23/mo vies/20080223_REVENUE_GRAPHIC.html http://www.nytimes.com/interactive/2008/02/23/mo vies/20080223_REVENUE_GRAPHIC.html http://douweosinga.com/


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