Gentle Introduction to Data Visualization with R

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Georgia State University

by Ozlem Tuncel, PhD

Slides

• Introduction to Data Visualization with R by Ozlem Tuncel
  • This slide is based on materials prepared by Adam Kuczynski, Charles Lanfear and Rebecca Ferrell. I am indebted to their code, examples, and inspiration.
• I recommend checking the other website I created for introduction to R.

Hands-on Exercise

• Let’s create a figure using gapminder data. See instructions in here.

My go-to sources for learning visualization in R

I started learning R around 2015 and over time these four resources was my go-to to learn data visualization in R.

• Data Visualization with R on Coursera
• Modern Data Visualization with R by Robert Kabacoff
• ggplot2: Elegant Graphics for Data Analysis (3e) by Hadley Wickham
• The Grammar of Graphics (Statistics and Computing) by Leland Wilkinson

Very Incomprehensive Sources for Learning Data Visualization R

If you need more resources on specific things, I have created this incomprehensive list of sources to learn data visualization.

📦 : R package

⭐: Very Comprehensive Guide (and Ozlem’s Favorite)

🌐: Useful webpage or instruction

📚: Book

General Resources

• ⭐ 🌐 Data Visualization — A course by Andrew Heiss
• ⭐ 🌐 R graph gallery — comprehensive gallery for R charts
• 🌐 Gentle Guide to ggplot2
• 📚⭐ Modern Data Visualization with R by Robert Kabacoff
• 📚 ggplot2: Elegant Graphics for Data Analysis (3e) by Hadley Wickham
• 📚 The Grammar of Graphics (Statistics and Computing) by Leland Wilkinson

ggplot2 and extension packages

• 📦 ggpubr — Customizes ggplots to create publication ready figures
• 📦 patchwork — Combines separate ggplots into the same graphic
• 🌐 ggplot2tor — Find the right aesthetics for your visualization
• 🌐 ggplot2 cheatsheet
• 🌐 The Grammar of ggplot
• ⭐ 🌐 Beautiful Plotting with ggplot2

Specific plots

• 📦 dotwhisker — Plot regression model results
• 🌐 Diagnostics plots for linear regression analysis

Interactions and marginal effects

• 📦 ggeffects — Estimated marginal means and adjusted predictions from regression models
• 🌐 Plotting interactions
• 🌐 Plotting interactions among categorical variables
• 🌐 Plotting predicted probabilities
• 🌐 Plotting marginal effects
• 🌐 Plotting marginal effects with ggeffects
• 🌐 Plotting residuals
• 🌐 Marginal effects zoo in R or Python

Maps

• 🌐 Drawing beautiful maps programmatically with R, sf and ggplot2
• 🌐 Creating maps with ggplo2
• 🌐 GADM data for administrative areas in the world

Misc

• 🌐 color blindness simulator — Picking colorblind-friendly colors
• 🌐 Color Brewer
• ⭐🌐 Gallery of statistical animations