2019arXiv (Cornell University)Open access

A Simple Descriptive Method & Standard for Comparing Pairs of Stacked Bar Graphs

Ronaldo Vigo

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Abstract

While a plethora of research has been devoted to extoling the power and importance of data visualization, research on the effectiveness of data visualization methods from a human perceptual, and more generally, a cognitive standpoint remains largely untapped. Indeed, the way that human observers perceive and judge graphic charts can determine the interpretation of the graphed data. In this brief note we introduce a simple method for comparing stacked bar graphs based on a well-known result from cognitive science.

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While a plethora of research has been devoted to extoling the power and importance of data visualization, research on the effectiveness of data visualization methods from a human perceptual, and more generally, a cognitive standpoint remains largely untapped. Indeed, the way that human observers perceive and judge graphic charts can determine the interpretation of the graphed data. In this brief note we introduce a simple method for comparing stacked bar graphs based on a well-known result from cognitive science.

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Available abstract

While a plethora of research has been devoted to extoling the power and importance of data visualization, research on the effectiveness of data visualization methods from a human perceptual, and more generally, a cognitive standpoint remains largely untapped. Indeed, the way that human observers perceive and judge graphic charts can determine the interpretation of the graphed data. In this brief note we introduce a simple method for comparing stacked bar graphs based on a well-known result from cognitive science.

Key concepts: Bar chart, Visualization, Simple (philosophy), Pie chart, Computer science, Interpretation (philosophy), Bar (unit), Cognition

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