R for Data Science
Import, Tidy, Transform, Visualize, and Model Data
Publisher: O'Reilly Media
Final Release Date: December 2016
Pages: 522

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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oreillyR for Data Science
 
4.0

(based on 3 reviews)

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3.0

Promising, maybe not quite ready

By crisbee

from Queens, NY

About Me Educator

Verified Reviewer

Pros

  • Concise
  • Helpful examples

Cons

  • Too many errors

Best Uses

  • Novice
  • Student

Comments about oreilly R for Data Science:

I'm frustrated with errors in the book. Can't get some of the code to run, and the site supposed to be up for errataa, comments, etc. (http://bit.ly/r-for-data-science) doesn't seem to exist---i just get funneled into O'Reilly's "BUY, BUY, BUY..." page.

(0 of 1 customers found this review helpful)

 
5.0

Reinventing the R experience

By Chicago Dave

from Chicagoland

Verified Buyer

Pros

  • Accurate
  • Concise
  • Easy to understand
  • Helpful examples
  • Well-written

Cons

    Best Uses

    • Intermediate
    • Novice
    • Student

    Comments about oreilly R for Data Science:

    The suite of functions in the tidy data universe hasn't before been presented so comprehensively. I am redoing all my code. I am thinking of new approaches. I am saving time writing new code. I have time to pursue new fun projects in addition to the required ones.

     
    4.0

    One of the best for R

    By George Ar

    from Athens, Greece

    About Me Developer, Sys Admin

    Verified Buyer

    Pros

    • Accurate
    • Easy to understand
    • Well-written

    Cons

    • Nothing

    Best Uses

    • Intermediate

    Comments about oreilly R for Data Science:

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