R for data science : import, tidy, transform, visualize, and model data / Hadley Wickham & Garrett Grolemund.

By:

Wickham, Hadley [author.]

Contributor(s):

Grolemund, Garrett [author.]

Material type: Text

9781491910368
1491910364
9781491910337
149191033X
9781491910344
9781491910399

Subject(s):

Additional physical formats: Print version:: No titleLOC classification:

QA76

Online resources:

Click here to access online

Contents:

Part I. Explore — Part II. Wrangle — Part III. Program — Part IV. Model — Part V. Communicate.

Summary: 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.

Holdings
Item type	Current library	Call number	URL	Status	Notes	Date due	Barcode
eBook	TBS Barcelona		Link to resource	Available	ebook

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Includes bibliographical references and index.

Part I. Explore — Part II. Wrangle — Part III. Program — Part IV. Model — Part V. Communicate.

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.

Online resource; title from PDF title page (EBSCO, viewed December 22, 2016).

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