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Generating Strictly Controlled Stimuli for Figure Recognition Experiments
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Stacked graphs--geometry & aesthetics.

Lee Byron1, Martin Wattenberg

  • 1The New York Times. lee@leebyron.com

IEEE Transactions on Visualization and Computer Graphics
|November 8, 2008
PubMed
Summary
This summary is machine-generated.

Complex layered graphs effectively visualize large datasets for mass audiences, as demonstrated by movie revenue charts. This study details their design, algorithms, and mathematical relation to other graph types.

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Area of Science:

  • Data Visualization
  • Information Design
  • Computational Aesthetics

Background:

  • A complex layered graph visualizing 7500 movies' box office revenues was published in The New York Times.
  • The visualization was inspired by a similar graphic displaying music listening trends.

Purpose of the Study:

  • To describe the design decisions and algorithms behind complex layered graphs.
  • To analyze the mathematical relationship between layered graphs and traditional stacked graphs/ThemeRiver.
  • To discuss techniques for coloring and ordering graph layers.

Main Methods:

  • Describing design choices and algorithms for complex layered graphs.
  • Providing a mathematical analysis comparing layered graphs to stacked graphs and ThemeRiver using "energy functions".
  • Discussing aesthetic and legibility considerations in graph design.

Main Results:

  • Complex layered graphs are effective for displaying large datasets to a mass audience.
  • Mathematical analysis reveals different optimization "energy functions" for layered graphs, stacked graphs, and ThemeRiver.
  • Techniques for coloring and ordering layers enhance graph effectiveness.

Conclusions:

  • Complex layered graphs offer a powerful method for mass audience data visualization.
  • The interplay between aesthetics and legibility is crucial for effective data graphics.
  • This visualization approach has broad applications beyond the initial examples in film and music.