R for data science : import, tidy, transform, visualize, and model data Hadley Wickham, Mine Çetinkaya-Rundel and Garrett Grolemund.

By:

Wickham, Hadley

Contributor(s):

Material type: Text

TextPublication details: Sebastopol, [California] : O'Reilly, 2023.Edition: Second editionDescription: 548 páginasISBN:

9781492097402

Subject(s):

DDC classification:

004 W637

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 tidyverseâ??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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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Libro	Biblioteca República Colección General	Bibliografía Básica	004 WIC (Browse shelf(Opens below))	1	Available		1472410

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 tidyverseâ??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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R for data science : import, tidy, transform, visualize, and model data Hadley Wickham, Mine Çetinkaya-Rundel and Garrett Grolemund.