R for Data Science

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

• Part 1: Data Exploration
• Part 2: Data Wrangling
• Part 3: Programming
• Part 4: Data Modeling
• Part 5: Communicating Data

This version of R for Data Science has been superseded by new edition, which is available to view separately.