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Mailund, Thomas,

Beginning data science in R 4: data analysis, visualization, and modelling for the data scientist / Thomas Mailund. - xxviii, 511 pages : illustrations ; 26 cm.

Includes index.

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.

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.

ISBN: 9781484281543 9781484281543 9781484281543 9781484281543

LCCN: 2017934529

Subjects--Topical Terms:
R (Computer program language)
Quantitative research.
Computer software--Development.
COMPUTERS / Databases.
COMPUTERS / Programming Languages.
Computer software--Development.
Quantitative research.
R (Computer program language)

LC Class. No.: QA276.45.R3 / M349 2017

Dewey Class. No.: 001.42