
R for Data Science
Import, Tidy, Transform, Visualize, and Model Data
O'Reilly (Publisher)
2nd Edition
Published on 23. June 2023
Book
Paperback/Softback
500 pages
978-1-4920-9740-2 (ISBN)
Description
Learn how to use R to turn data into insight, knowledge, and understanding. Ideal for current and aspiring data scientists, this book introduces you to doing data science with R and RStudio, as well as 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. Each section in this edition includes exercises to help you practice what you've learned along the way.
Updated for the latest tidyverse best practices, new chapters dive deeper into visualization and data wrangling, show you how to get data from spreadsheets, databases, and websites, and help you make the most of new programming tools.
You'll learn how to:
Visualize-create plots for data exploration and communication of results
Transform-discover types of variables and the tools you can use to work with them
Import-get data into R and in a form convenient for analysis
Program-learn R tools for solving data problems with greater clarity and ease
Communicate-integrate prose, code, and results with Quarto
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. Each section in this edition includes exercises to help you practice what you've learned along the way.
Updated for the latest tidyverse best practices, new chapters dive deeper into visualization and data wrangling, show you how to get data from spreadsheets, databases, and websites, and help you make the most of new programming tools.
You'll learn how to:
Visualize-create plots for data exploration and communication of results
Transform-discover types of variables and the tools you can use to work with them
Import-get data into R and in a form convenient for analysis
Program-learn R tools for solving data problems with greater clarity and ease
Communicate-integrate prose, code, and results with Quarto
More details
Edition
2nd New edition
Language
English
Place of publication
Sebastopol
United States
Edition type
New edition
Dimensions
Height: 233 mm
Width: 178 mm
Thickness: 32 mm
Weight
1006 gr
ISBN-13
978-1-4920-9740-2 (9781492097402)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Hadley Wickham | Mine Cetinkaya-Rundel | Garrett Grolemund
R for Data Science
E-Book
06/2023
O'Reilly
€58.99
Available for download

Hadley Wickham | Mine Cetinkaya-Rundel | Garrett Grolemund
R for Data Science
E-Book
06/2023
O'Reilly
€58.99
Available for download
Previous edition

Garrett Wickham | Garrett Grolemund
R for Data Science
Book
01/2017
O'Reilly
€74.46
Article exhausted; check for reprint
Persons
Hadley Wickham is Chief Scientist at RStudio and a member of the R Foundation. He builds tools (both computational and cognitive) that make data science easier, faster, and more fun. His work includes packages for data science (ggplot2, dplyr, tidyr), data ingest (readr, readxl, haven), and principled software development (roxygen2, testthat, devtools). He is also a writer, educator, and frequent speaker promoting the use of R for data science. Learn more on his homepage, http: //hadley.nz.