research topics in Data Visualization Jeffrey Heer Stanford University

Transcription

1 research topics in Data Visualization Jeffrey Heer Stanford University

2 Set A Set B Set C Set D X Y X Y X Y X Y Summary Statistics Linear Regression u X = 9.0σ X = Y 2 = X u Y = 7.5σ Y = 2.03 R 2 = 0.67 [Anscombe 73]

3 Set A Set B Y Set C Set D Y X X

4 1826(?) Illiteracy in France, Pierre Charles Dupin

5 cabspotting.org

6 Wikipedia History Flow (IBM)

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8 The ability to take data to be able to understand it, to process it, to extract value from it, to visualize it, to communicate it that s going to be a hugely important skill in the next decades, because now we really do have essentially free and ubiquitous data. So the complimentary scarce factor is the ability to understand that data and extract value from it. Hal Varian, The McKinsey Quarterly, Jan 2009

9 Goals of Visualization Research 1 Understand how people use visualizations to gain insight 2 Design principles and techniques for effective visual analysis systems

10 1 Visualization Techniques 2 Visualization Tools 3 Visual Analysis Environments

11 Visualization Techniques Improve visual analysis and communication via novel algorithms, encodings, and interactions Degree-of-Interest Trees Aspect Ratio Optimization

12 Visualizing Large Hierarchies Indented Layout Reingold-Tilford Layout

13 Degree-of-Interest Trees Space-constrained, multi-focal tree layout

14 Visualizing Genealogical Graphs

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16 Elizabeth Taylor

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23 Atmospheric CO 2 (ppm) 355 Aspect Ratio Optimization Maximize perceptual discriminability of line segment ( ) ( ) angles θi α θj α i j Identify trends using spectral analysis; find ratios

24 Research Challenges Perceptual optimization algorithms (Semi-)automated choice of color, size, layout, Richer data types and data sources Text, video, sensor data, web extraction, uncertainty Novel devices and interaction techniques Mobile computing, large displays, physical interaction

25 Visualization Tools Support visualization design and literacy through tools for visualization creation Prefuse ( Flare (

26 Protovis: A Graphical Toolkit for Visualization

27 Raw Data Data Data Tables Visual Form Visual Structures Views Task Data Transformations Visual Encodings View Transformation s

28 Usage and Uptake Open Source projects 100,000+ downloads Used by students, researchers, corporations Design Patterns describing architecture

29 Panopoly of visualizations

30 Research Challenges Rapid design, prototyping, and publishing Reduce need for programming, support larger audience Integrate design and perceptual analysis Put perceptual optimization in the hands of designers Novel visual interfaces for data management Support for importing, cleaning, and integrating data

31 Visual Analysis Environments Systems for visual data analysis supporting collaborative exploration and sensemaking Where have all the dentists gone? sense.us

32 Enron Corpus

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34 Washington Lobbyist?

35 vizster

36 community 1

37 sense.us A Web Application for Collaborative Visualization of Demographic Data

38 [CHI 07]

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40 Voyagers and Voyeurs Complementary faces of analysis Voyager focus on visualized data Active engagement with the data Serendipitous comment discovery Voyeur focus on comment listings Investigate others explorations Find people and topics of interest Catalyze new explorations

41 Many-

42 Research Challenges Integrating graphical and statistical analysis Visual construction and inspection of models Supporting the full data life-cycle Data acquisition, integration, analysis, dissemination Novel techniques for facilitating collaboration Integrating findings and visualizing activity patterns

43 Conclusion

44 Visualization Techniques Improve visual analysis and communication via novel algorithms, encodings, and interactions Degree-of-Interest Trees Aspect Ratio Optimization

45 Visualization Tools Support visualization design and literacy through tools for visualization creation Prefuse ( Flare (

46 Visual Analysis Environments Systems for visual data analysis supporting collaborative sensemaking and exploration Where have all the dentists gone? sense.us

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48 research topics in Data Visualization Jeffrey Heer hci.stanford.edu/jheer

49 I keep saying the sexy job in the next ten years will be statisticians. People think I m joking, but who would ve guessed that computer engineers would ve been the sexy job of the 1990s? Hal Varian, The McKinsey Quarterly, Jan 2009