Learn how to use R to turn raw data into insight, knowledge and understanding. This book introduces you to R, RStudio and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible.

Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way.

You'll learn how to:
Wrangle transform your datasets into a form convenient for analysis
Program learn powerful R tools for solving data problems with greater clarity and ease
Explore examine your data, generate hypotheses and quickly test them
Model provide a low-dimensional summary that captures true "signals" in your dataset
Communicate learn R Markdown for integrating prose, code and results.

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