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Data Visualization. Outline What? Why? How? Outline What? Why? How?

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Presentation on theme: "Data Visualization. Outline What? Why? How? Outline What? Why? How?"— Presentation transcript:

1 Data Visualization

2 Outline What? Why? How?

3 Outline What? Why? How?

4 Data Visualization “...to convey information through visual representations.” “...produces (interactive) visual representations of abstract data to reinforce human cognition; thus enabling the viewer to gain knowledge about the internal structure of the data and causal relationships in it.”

5 Outline What? Why? How?

6 VISUALIZATION GOALS

7 Visualization Goals Answer questions (or discover them) Make decisions See data in context Support graphical calculation Find patterns Present argument or tell a story Inspire

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14 Three Functions of Visualization Record: store information Analyze: support reasoning about information Communicate: convey information to others

15 PERCEPTION & COGNITION

16 Anscombe Quartet

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18 How many 3’s? 24872184012387409216590147609856093247209 12562906509852659048275829856809609863095 84390564095878950374509284750989475092984

19 How many 3’s? 24872184012387409216590147609856093247209 12562906509852659048275829856809609863095 84390564095878950374509284750989475092984

20 Preattentive Processing Requires attention despite the name Very fast: < 200-250 ms What matters most is the contrast between features

21 Color

22 Shape

23 Conjunction

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25 Change Blindness

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27 Simultaneous Contrast

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29 Outline What? Why? How?

30 FRAMEWORKS

31 ProtoVis

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33 Processing Spde

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35 REDESIGN

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42 INSPIRATION

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51 Credits & Resources HansPeter Phister for slides inspiration: http://www.cs171.org/http://www.cs171.org/ Stephen Few for Dashboard & redesigns: http://www.perceptualedge.comhttp://www.perceptualedge.com Christopher G. Healy for Change Blindness & Preattentive Variables: http://www.csc.ncsu.edu/faculty/healey/PP/http://www.csc.ncsu.edu/faculty/healey/PP/ Hans Rosling from Gapminder: http://www.ted.com/talks/hans_rosling_shows_the_best_stats_you_ve_ever_seen.html http://www.gapminder.org/http://www.ted.com/talks/hans_rosling_shows_the_best_stats_you_ve_ever_seen.html http://www.gapminder.org/ Protovis: http://vis.stanford.edu/protovis/http://vis.stanford.edu/protovis/ Polymaps: http://www.polymaps.org/http://www.polymaps.org/ Processing: http://processing.org/http://processing.org/ Processing.js: http://processingjs.org/http://processingjs.org/ Spde: http://technically.us/spde/Abouthttp://technically.us/spde/About Tableau Public: http://www.tableausoftware.com/public/http://www.tableausoftware.com/public/ Oakland Crime Spotting & Cab Spotting by Stamen Design: http://www.stamen.com/http://www.stamen.com/ “Good Morning” & Haiti Earthquake Aid in Avatar Minutes by Jer Thorp: http://blog.blprnt.com/http://blog.blprnt.com/ House of Cards video clip for Radiohead by Aaron Koblin: http://www.aaronkoblin.com/http://www.aaronkoblin.com/ Wikipedia history flow by Martin Wattenberg & Fernanda Viegaz: http://www.bewitched.com/ http://fernandaviegas.com/http://www.bewitched.com/http://fernandaviegas.com/ Map of USA by Ben Fry: http://benfry.com/http://benfry.com/ “Hoe de kredietcrisis de beurs besmette by Frédérik Ruys: http://www.vizualism.com/http://www.vizualism.com/ StemBesef by Jan Willem Tulp: http://www.janwillemtulp.com/stembesefhttp://www.janwillemtulp.com/stembesef


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