Truth, Beauty, and Data: Why Data Visualization Matters in Research

Resources

Andrew Heiss, “Data Visualization with R” (free online course)
Kieran Healy, Data Visualization for Social Science: A practical introduction with R and ggplot2
Claus Wilke, Fundamentals of Data Visualization
Alberto Cairo, The Truthful Art: Data, Charts, and Maps for Communication
Stephanie D. H. Evergreen, Effective Data Visualization: The Right Chart for the Right Data
Dona M. Wong, The Wall Street Journal Guide to Information Graphics: The Dos and Don’ts of Presenting Data, Facts, and Figures
Hadley Wickham and Garrett Grolemund, R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Alberto Cairo, The Functional Art: An Introduction to Information Graphics and Visualization

Vischeck: Simulate how your images look for people with different forms of colorblindness (web-based)
Color Oracle: Simulate how your images look for people with different forms of colorblindness (desktop-based, more types of colorblindness)

Adobe Color: Create, share, and explore rule-based and custom color palettes.
ColourLovers: Like Facebook for color palettes.
viridis: Perceptually uniform color scales.
Scientific Colour-Maps: Perceptually uniform color scales like viridis. Use them in R with scico.
ColorBrewer: Sequential, diverging, and qualitative color palettes that take accessibility into account.
Colorgorical: Create color palettes based on fancy mathematical rules for perceptual distance.
Colorpicker for data: More fancy mathematical rules for color palettes (explanation).
iWantHue: Yet another perceptual distance-based color palette builder.
Photochrome: Word-based color palettes.
PolicyViz Design Color Tools: Large collection of useful color resources

Google Fonts: Huge collection of free, well-made fonts.
The Ultimate Collection of Google Font Pairings: A list of great, well-designed font pairings from all those fonts hosted by Google (for when you’re looking for good contrasting or complementary fonts).

Ben Wellington, “Making data mean more through storytelling”
Jonathan Schwabish, “Better data communication”
Cole Nussbaumer Knaflic, Storytelling with Data: A Data Visualization Guide for Business Professionals
Alan Alda, If I Understood You, Would I Have This Look on My Face? My Adventures in the Art and Science of Relating and Communicating
Nancy Duarte, Resonate: Present Visual Stories That Transform Audiences