References and Text Books
Recommended Text Books
Kieran Healy (2018) Data Visualization: A practical introduction, Princeton
Paul Murrell (2009). Introduction to Data Technologies, Chapman & Hall/CRC.
Hadley Wickham, Mine Çetinkaya-Rundel, and Garrett Grolemund (2023), R for Data Science (2nd Edition), O’Reilly. (Book source on GitHub)
Claus O. Wilke (2019) Fundamentals of Data Visualization, O’Reilly, Inc. (Book source on GitHub; supporting materials on GitHub)
Additional Books
Alberto Cairo (2019) How Charts Lie: Getting Smarter about Visual Information, W. W. Norton & Company.
Winston Chang (2018), R Graphics Cookbook, 2nd edition, O’Reilly. (Book source on GitHub)
Garrett Grolemund (2014), Hands-On Programming with R, O’Reilly. (Book source on GitHub)
Rafael A. Irizarry (2019), Introduction to Data Science: Data Analysis and Prediction Algorithms with R, Chapman & Hall/CRC. (Book source on GitHub)
Munzner, T. (2014), Visualization Analysis and Design, CRC Press.
Antony Unwin (2015), Graphical Data Analysis with R, Chapman & Hall/CRC.
Hadley Wickham (2015) Advanced R, Chapman & Hall/CRC.
Hadley Wickham (2016)
ggplot2: Elegant Graphics for Data Analysis, Springer. (A 3rd edition is in progress.)