R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

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. Youll 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 youve learned along the way. Youll learn how to: Wrangletransform your datasets into a form convenient for analysis Programlearn powerful R tools for solving data problems with greater clarity and ease Exploreexamine your data, generate hypotheses, and quickly test them Modelprovide a low-dimensional summary that captures true "signals" in your dataset Communicatelearn R Markdown for integrating prose, code, and results.