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R for Data Science : Import, Tidy, Transform, Visualize, and Model Data
by Hadley Wickham and Garrett Grolemund


Overview -

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.  Read more...


 
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More About R for Data Science by Hadley Wickham; Garrett Grolemund
 
 
 
Overview

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
"

 
Details
  • ISBN-13: 9781491910399
  • ISBN-10: 1491910399
  • Publisher: O'Reilly Media
  • Publish Date: January 2017
  • Page Count: 522
  • Dimensions: 9 x 6 x 1.2 inches
  • Shipping Weight: 1.6 pounds


Related Categories

Books > Computers > Data Processing
Books > Computers > Mathematical & Statistical Software
Books > Mathematics > Probability & Statistics - General

 
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