“Choose the data visualization that best serves your audience.”

June 7, 2018
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(This article was originally published at Statistical Modeling, Causal Inference, and Social Science, and syndicated at StatsBlogs.)


Tian Zheng prepared the above slide which very clearly displays an important point about statistical communication.

The maps are squished to be too narrow, and the scatterplot has too many numbers on the axes (better to have income in thousands and percentages in tens), also given the numbers it seems that the data must be pretty old—but maybe that’s part of the point, that the principle of different sorts of data display is so general that it works even if the component graphs have problems.

The post “Choose the data visualization that best serves your audience.” appeared first on Statistical Modeling, Causal Inference, and Social Science.



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