R for data science : Import, tidy, transform, visualize, and model data / Hadley Wickham, Mine Cetinkaya-Rundel, and Garrett Grolemund.

By:

Wickham, Hadley [author.]

Contributor(s):

Material type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9781492097402 (paperback)

Subject(s):

LOC classification:

QA276.45.R3 WIC

Summary: Use R to turn data into insight, knowledge, and understanding. With this practical book, aspiring data scientists will learn how to do data science with R and RStudio, along with the tidyverse--a collection of R packages designed to work together to make data science fast, fluent, and fun. Even if you have no programming experience, this updated edition will have you doing data science quickly. You'll learn how to import, transform, and visualize your data and communicate the results. And you'll get a complete, big-picture understanding of the data science cycle and the basic tools you need to manage the details. Updated for the latest tidyverse features and best practices, new chapters show you how to get data from spreadsheets, databases, and websites. Exercises help you practice what you've learned along the way.

Item type:

Reserve

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Cover image	Item type	Current library	Home library	Collection	Shelving location	Call number	Materials specified	Vol info	URL	Copy number	Status	Notes	Date due	Barcode	Item holds	Item hold queue priority	Course reserves
	Reserve	GSU Library Epoch Reserve		General Collection		QA276.45.R3 WIC (Browse shelf(Opens below))				1	Available			50000007035

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Includes bibliographical references (pages 534-535) and index.

Use R to turn data into insight, knowledge, and understanding. With this practical book, aspiring data scientists will learn how to do data science with R and RStudio, along with the tidyverse--a collection of R packages designed to work together to make data science fast, fluent, and fun. Even if you have no programming experience, this updated edition will have you doing data science quickly. You'll learn how to import, transform, and visualize your data and communicate the results. And you'll get a complete, big-picture understanding of the data science cycle and the basic tools you need to manage the details. Updated for the latest tidyverse features and best practices, new chapters show you how to get data from spreadsheets, databases, and websites. Exercises help you practice what you've learned along the way.

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