- “R for Data Science - Import, Tidy, Transform, Visualize, and Model Data” by Hadley Wickham and Garrett Grolemund
- “Data Manipulation in R” by Steph Locke (Locke Data)
- “Modern Data Science with R” by Benjamin S. Baumer Daniel T. Kaplan Nicholas J. Horton
- “R Cookbook - Proven Recipes for Data Analysis, Statistics, and Graphics” by J.D. Long and Paul Teetor
- “Data Wrangling with R” by Bradley C. Boehmke
- A Learning Guide to R
- “Hands-On Programming with R - Write your own functions and simulations” by Garrett Grolemund
- “Mastering Shiny” by Hadley Wickham
- “Learning R” by Richard Cotton
- “Just Enough R - An Interactive Approach to Machine Learning and Analytics” by Richard J. Roiger
- “Introduction to Data Science - Data Wrangling and Visualization with R”
Data Visualization
- ggplot2: Elegant Graphics For Data Analysis by Hadley Wickham, Carson Sievert
- Graphing Data with R - AN INTRODUCTION by John Jay Hilfiger
- R Graphics by David Murell
- R Graphics Cookbook by Winston Chang
- “R Graphics Essentials for Great Data Visualization” by Alboukadel KASSAMBARA
- Data Visualization - A practical introduction by Kieran Healy
- Lattice - Multivariate Data Visualization with R by Deepayan Sarkar
- Graphical Data Analysis with R by Antony Unwin
- Data Visualisation with R 111 Examples by Thomas Rahlf
