u003cpu003eLearn 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.u003c/pu003e u003cpu003eAuthors 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.u003c/pu003e u003cpu003eYou'll learn how to:u003c/pu003e u003culu003e u003cliu003eu003cbu003eWrangleu003c/bu003e--transform your datasets into a form convenient for analysisu003c/liu003e u003cliu003eu003cbu003eProgramu003c/bu003e--learn powerful R tools for solving data problems with greater clarity and easeu003c/liu003e u003cliu003eu003cbu003eExploreu003c/bu003e--examine your data, generate hypotheses, and quickly test themu003c/liu003e u003cliu003eu003cbu003eModelu003c/bu003e--provide a low-dimensional summary that captures true "signals" in your datasetu003c/liu003e u003cliu003eu003cbu003eCommunicateu003c/bu003e--learn R Markdown for integrating prose, code, and resultsu003c/liu003e u003c/ulu003e