Mailund, Thomas, <br/><br/>
Beginning data science in R  4:  data analysis, visualization, and modelling for the data scientist / 
Thomas Mailund. 
 - xxviii, 511 pages :  illustrations ;  26 cm. 
<br/><br/> Includes index. 
<br/><br/>Introduction to R programming -- Reproducible analysis -- Data manipulation -- Visualizing data -- Working with large datasets -- Supervised learning -- Unsupervised learning -- More R programming -- Advanced R programming -- Object oriented programming -- Building an R package -- Testing and package checking -- Version control -- Profiling and optimizing. 
<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.  This book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R. -- Provided by publisher. 
<br/><br/><label>ISBN: </label>9781484281543 9781484281543 9781484281543 9781484281543 
<br/><br/><label>LCCN: </label>2017934529 
<br/><br/><label>Subjects--Topical Terms: </label><br/>R (Computer program language)<br/>Quantitative research.<br/>Computer software--Development.<br/>COMPUTERS / Databases.<br/>COMPUTERS / Programming Languages.<br/>Computer software--Development.<br/>Quantitative research.<br/>R (Computer program language)
<br/><br/><label>LC Class. No.: </label>QA276.45.R3  / M349 2017 
<br/><br/><label>Dewey Class. No.: </label>001.42