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Data Visualization Techniques and Goals

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Jan Willem Tulp
Jan Willem Tulp

This document discusses data visualization. It begins by defining data visualization as conveying information through visual representations and reinforcing human cognition to gain knowledge about data. The document then outlines three main functions of visualization: to record information, analyze information, and communicate information to others. Finally, it discusses various frameworks, tools, and examples of inspiring data visualizations.

Technologie
1 von 51
Data Visualization
Outline • What? • Why? • How?
Outline • What? • Why? • How?
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.”
Outline • What? • Why? • How?
VISUALIZATION GOALS
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
Three Functions of Visualization • Record: store information • Analyze: support reasoning about information • Communicate: convey information to others
PERCEPTION & COGNITION
Anscombe Quartet
Anscombe Quartet
How many 3’s? 24872184012387409216590147609856093247209 12562906509852659048275829856809609863095 84390564095878950374509284750989475092984
How many 3’s? 24872184012387409216590147609856093247209 12562906509852659048275829856809609863095 84390564095878950374509284750989475092984
Preattentive Processing • Requires attention despite the name • Very fast: < 200-250 ms • What matters most is the contrast between features
Color
Shape
Conjunction
Change Blindness
Simultaneous Contrast
Outline • What? • Why? • How?
FRAMEWORKS
ProtoVis
Processing Spde
REDESIGN
INSPIRATION
Credits & Resources • HansPeter Phister for slides inspiration: http://www.cs171.org/ • Stephen Few for Dashboard & redesigns: http://www.perceptualedge.com • Christopher G. Healy for Change Blindness & Preattentive Variables: 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/ • Protovis: http://vis.stanford.edu/protovis/ • Polymaps: http://www.polymaps.org/ • Processing: http://processing.org/ • Processing.js: http://processingjs.org/ • Spde: http://technically.us/spde/About • Tableau Public: http://www.tableausoftware.com/public/ • Oakland Crime Spotting & Cab Spotting by Stamen Design: http://www.stamen.com/ • “Good Morning” & Haiti Earthquake Aid in Avatar Minutes by Jer Thorp: http://blog.blprnt.com/ • House of Cards video clip for Radiohead by Aaron Koblin: http://www.aaronkoblin.com/ • Wikipedia history flow by Martin Wattenberg & Fernanda Viegaz: http://www.bewitched.com/ http://fernandaviegas.com/ • Map of USA by Ben Fry: http://benfry.com/ • “Hoe de kredietcrisis de beurs besmette by Frédérik Ruys: http://www.vizualism.com/ • StemBesef by Jan Willem Tulp: http://www.janwillemtulp.com/stembesef

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Data Visualization Techniques and Goals

Hinweis der Redaktion

  1. http://www.csc.ncsu.edu/faculty/healey/PP/index.html