R for Data Science: Import, Tidy, Transform, Visualize, and Model Data 1st Edition

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data 1st Edition
by Hadley Wickham  (Author), Garrett Grolemund (Author) – January 5, 2017

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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Product Details
Paperback: 522 pages
Publisher: O'Reilly Media; 1 edition (January 5, 2017)
Language: English
ISBN-10: 1491910399
ISBN-13: 978-1491910399
Product Dimensions: 6 x 1 x 9 inches
Shipping Weight: 1.5 pounds
Average Customer Review:
5.0 out of 5 stars
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Author This Book

Hadley is Chief Scientist at RStudio and a member of the R Foundation. He builds tools (both computational and cognitive) that make data science easier, faster, and more fun. His work includes packages for data science (ggplot2, dplyr, tidyr), data ingest (readr, readxl, haven), and principled software development (roxygen2, testthat, devtools). He is also a writer, educator, and frequent speaker promoting the use of R for data science