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Animated Transitions in Statistical Data Graphics Jeffrey Heer, George G. Robertson
 

Summary: Animated Transitions in Statistical Data Graphics
Jeffrey Heer, George G. Robertson
Abstract--In this paper we investigate the effectiveness of animated transitions between common statistical data graphics such
as bar charts, pie charts, and scatter plots. We extend theoretical models of data graphics to include such transitions, introducing
a taxonomy of transition types. We then propose design principles for creating effective transitions and illustrate the application of
these principles in DynaVis, a visualization system featuring animated data graphics. Two controlled experiments were conducted
to assess the efficacy of various transition types, finding that animated transitions can significantly improve graphical perception.
Index Terms--Statistical data graphics, animation, transitions, information visualization, design, experiment
1 INTRODUCTION
In both analysis and presentation, it is common to view a number of
related data graphics backed by a shared data set. For example, a
business analyst viewing a bar chart of product sales may want to
view relative percentages by switching to a pie chart or compare
sales with profits in a scatter plot. Similarly, she may wish to see
product sales by region, drilling down from a bar chart to a grouped
bar chart. Such incremental construction of visualizations is regularly
performed in tools such as Excel, Tableau, and Spotfire.
The visualization challenge posed by each of these examples is to
keep the readers of data graphics oriented during transitions. Ideally,
viewers would accurately identify elements across disparate graphics

  

Source: Agrawala, Maneesh - Department of Electrical Engineering and Computer Sciences, University of California at Berkeley

 

Collections: Computer Technologies and Information Sciences