R for data science : Import, tidy, transform, visualize and model data

By:

Wickham, Hadley

Contributor(s):

Grolemund, Garrett

Language: ENG Publication details: Sebastopol O'Reilly Media, Inc. 2017Edition: 1stDescription: xxiv, 492p. | Binding - Paperback | 22.2*15.5 cmISBN:

9789352134977

Subject(s):

DDC classification:

DDC23 006.312 WIC/GRO

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. You'll learn how to: WrangleÃtransform your datasets into a form convenient for analysis ProgramÃlearn powerful R tools for solving data problems with greater clarity and ease ExploreÃexamine your data, generate hypotheses, and quickly test them ModelÃprovide a low-dimensional summary that captures true ""signals"" in your dataset CommunicateÃlearn R Markdown for integrating prose, code, and results.

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Holdings
Item type	Current library	Collection	Call number	Status	Barcode
Books	School of Engineering & Technology Reference Section	Reference	006.312 WIC/GRO (Browse shelf(Opens below))	Not For Loan	E14607
Books	School of Engineering & Technology General Stacks	Circulation	006.312 WIC/GRO (Browse shelf(Opens below))	Available	E14608

Total holds: 0

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:

WrangleÃtransform your datasets into a form convenient for analysis
ProgramÃlearn powerful R tools for solving data problems with greater clarity and ease
ExploreÃexamine your data, generate hypotheses, and quickly test them
ModelÃprovide a low-dimensional summary that captures true ""signals"" in your dataset
CommunicateÃlearn R Markdown for integrating prose, code, and results.

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