## R for Data Science

This book introduces you to

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

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:

1)

2)

3)

4)

5)

**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:

1)

**Wrangle**- transform your datasets into a form convenient for analysis2)

**Program**- learn powerful R tools for solving data problems with greater clarity and ease3)

**Explore**- examine your data, generate hypotheses, and quickly test them4)

**Model**- provide a low-dimensional summary that captures true "signals" in your dataset5)

**Communicate**- learn R Markdown for integrating prose, code, and resultsAuthor: Hadley Wickham, Garrett Grolemund