Mailund, Thomas <br/><br/>
Beginning Data Science In R 4: Data Analysis, Visualization, and Modelling For The Data Scientist 
/ Thomas Mailund 
 - 2nd edition 
 - New York.  Apress  2022 
 - xxviii, 511 p.:  ill,;  25 cm. 
<br/><br/> Reprint 2024. 
<br/><br/>Includes index 
<br/><br/> Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. Updated for the R 4.0 release, this book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R. Beginning Data Science in R 4, Second Edition details how data science is a combination of statistics, computational science, and machine learning. You'll see how to efficiently structure and mine data to extract useful patterns and build mathematical models. 
<br/><br/><label>ISBN: </label>9781484290934 
<br/><br/><label>Subjects--Topical Terms: </label><br/> R (Computer program language) R (Langage de programmation) Statistics Data processing
<br/><br/><label>Dewey Class. No.: </label>005.133  / MAI