Wickham, Hadley <br/><br/>
R for data science / 
Hadley Wickham, Mine Netinkaya-Rundel and Garrett Grolemund 
 - [Place of Publication not identified] :  O'Reilly Media.  2023 
<br/><br/> 1 user 
<br/><br/>Includes index. 
<br/><br/>Introduction --  Part I. Whole Game --  Part II. Visualize --  Part III. Transform --  Part IV. Import --  Part V. Program --  Part VI. Communicate --  Index --  About the Authors --  Colophon. 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9781492097402 
<br/><br/><label>Subjects--Topical Terms: </label><br/>BIG DATA<br/>DATABASES<br/>DATA MINING -- COMPUTER PROGRAMS