R for Data Science: Import, Tidy, Transform, Visualize, and Model Data, 2nd Edition eBook

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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. You’ll understand how to: Visualize: Create plots for data exploration and communication of results Transform: Discover variable types and the tools 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

This is a digital product.

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data 2nd Edition is written by Hadley Wickham; Mine Çetinkaya-Rundel; Garrett Grolemund and published by O’Reilly Media. The Digital and eTextbook ISBNs for R for Data Science are 9781492097365, 1492097365 and the print ISBNs are 9781492097402, 1492097403. Additional ISBNs for this eTextbook include 9781492097372.