Researchers frequently use color to communicate numeric values in a data visualization. Most software will implement a default algorithm to select a color palette, and these palettes frequently are hard-to-interpret or are inaccessible to individuals with vision impairments. In this workshop we will develop approaches to readily generate optimized color palettes for continuous and categorical variables.
Researchers frequently use color to communicate numeric values in a data visualization. Most software will implement a default algorithm to select a color palette, and these palettes frequently are hard-to-interpret or are inaccessible to individuals with vision impairments. In this workshop we will develop approaches to readily generate optimized color palettes for continuous and categorical variables.
ggplot2 and existing R packagesThis workshop is designed for individuals with a basic familiarity using R and ggplot2 for data visualization.
Room 295 in 1155 E 60th St.
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For attribution, please cite this work as
Soltoff (2021, Nov. 2). Computation Skills Workshop: Optimizing selection of color palettes. Retrieved from https://css-skills.uchicago.edu/posts/2021-11-02-optimizing-selection-of-color-palettes/
BibTeX citation
@misc{soltoff2021optimizing,
author = {Soltoff, Benjamin},
title = {Computation Skills Workshop: Optimizing selection of color palettes},
url = {https://css-skills.uchicago.edu/posts/2021-11-02-optimizing-selection-of-color-palettes/},
year = {2021}
}