Louis Burns, PhD
Sep 7, 2018 · 1 min read

To elaborate on what we consider design, I suspect that if you factored in experiment design or clean code, you would see that R programmers think a lot more about design than this data shows.

Additionally, a lot of statistical analysis needs to be iterative, not set in a pixel-perfect visualization. Even putting pretty pictures in textbooks gives students the idea that they need to make the graph pretty and perfect rather than quick and legible.

    Louis Burns, PhD

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    Independent scholar and data scientist. Interests in urban design and development, visualization, local community and economic prosperity, and more.