Effective Data Visualization
How to design impactful and aesthetically pleasing charts
This page features all source materials for the bespokeDS session “Effective Data Visualization: How to design impactful and aesthetically pleasing charts” by Dr. Cédric Scherer on Sep 28th 2020
Presentation
| Recording | Slides (html) | Slides (pdf) |
Hands-On Coding
Example Timeseries by JPMorgan Chase Institute
| Tutorial | Workshop Files | Code |
Example Gene Distribution by DataDrivenHypothesis
| Tutorial | Workshop Files | Code |
Resources
Open-Access DataViz Books
- “Data Visualization: A Practical Introduction” by Kieran Healy (free online)
- “Fundamentals of Data Visualization” by Claus Wilke (free online)
- “ggplot2: Elegant Graphics for Data Analysis” by Hadley Wickham, Danielle Navarro and Thomas Lin Pedersen (free online) (check out r4ds.had.co.nz/ for free online book as an intro to R and the tidyverse)
Blog Posts Mentioned
- “What to consider when choosing colors for data visualization” by Lisa Charlotte Rost (DataWrapper)
- “How maps in the media make us more negative about migrants” by Maite Vermeulen, Leon de Korte & Henk van Houtum (The Correspondent)
- “Choosing Fonts for Your Data Visualization” by Tiffany France
Color Choice and Colorblindness
- “Viz Palette” — choose palettes and test how they work on several chart types and with CVD
- “CoBliS Color Blindness Simulator” — CVD Simulator Online
- {colorblindr} R package — CVD Simulator for ggplot2 objects in R
Misc
- Thread by John Burn-Murdoch (Financial Times) on population adjustment of COVID19 data
- Article on the perception experiments by William Cleveland and Robert McGill