Library Banner
Image from Google Jackets

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

By: Contributor(s): Material type: TextPublication details: Beijing : O'Reilly, 2023Edition: 2nd edDescription: xxiii, 550 pISBN:
  • 9781492097402
Subject(s): DDC classification:
  • 006.312 WIC-R
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
Item type: Books
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Current library Call number Status Barcode
UMT Main Campus 006.312 WIC-R (Browse shelf(Opens below)) Available 153274

Index present

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

Eng

There are no comments on this title.

to post a comment.
Share