R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data Author Hadley Wickham
ISBN-10 1491910399
ISBN-13 9781491910399
Year 2017-01-05
Pages 522
Language English
Publisher O’Reilly Media
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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 Youll 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 youve learned along the way Youll learn how to Wrangletransform your datasets into a form convenient for analysisProgramlearn powerful R tools for solving data problems with greater clarity and easeExploreexamine your data generate hypotheses and quickly test themModelprovide a low dimensional summary that captures true signals in your datasetCommunicatelearn R Markdown for integrating prose code and results

Other Version:

R for Data Science

R for Data Science Author Hadley Wickham
ISBN-10 9781491910344
Release 2016-12-12
Pages 520

R for Data Science

R for Data Science Author Hadley Wickham
ISBN-10 9781491910368
Release 2016-12-12
Pages 520

R for Data Science

R for Data Science Author Garrett Grolemund
ISBN-10 1491910399
Release 2017-01
Pages 250