R for Data Science (2e)

This E-textbook, written by statisticians Hadley Wickham, Mine Çetinkaya-Rundel, and Garrett Grolemund, provides learners with the information needed to use R to put data science into practice. The material in the textbook has been designed for those with a data science background and focuses on using R to transform data, change its structure, visualize data, and model it. Within each part, students learn how to perform a variety of R functions relating to data science, such as importing data, tidying data, R markdown, transforming data, vectors, and more. The E-book has 29 chapters split into the following parts:

• Part 1: Whole Game
• Part 2: Data Visualization
• Part 3: Transforming Data
• Part 4: Importing Data
• Part 5: Programming
• Part 6: Communicating Data