R for data science : import, tidy, transform, visualize, and model data / Hadley Wickham, Mine C��etinkaya-Rundel, Garrett Grolemund

By: Contributor(s): Material type: TextTextPublisher: Sebastopol, CA : O'Reilly Media, Inc., ©2023Edition: Second editionDescription: xxiii, 576 pages : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
Subject(s): DDC classification:
  • 006.312
Online resources: 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
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Holdings
Item type Current library Collection Call number Status Notes Date due Barcode Item holds
Books Books Junaid Zaidi Library, COMSATS University Islamabad Ground Floor Books 006.312 WIC-R 63301 (Browse shelf(Opens below)) Available Paperback. 10001000063301
Total holds: 0

Includes bibliographical references and index

Available to OhioLINK libraries

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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