Mailund Thomas. Beginning Data Science in R 4: Data Analysis, Visualization, and Modelling for the Data Scientist

2nd Edition. — Apress Media, LLC, 2022. — 527 p. — ISBN: 978-1-4842-8154-3.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 to develop 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. This requires computational methods and programming, and R is an ideal programming language for this.Modern data analysis requires computational skills and usually a minimum of programming. After reading and using this book, you'll have what you need to get started with R programming with data science applications. The source code will be available to support your next projects as well.What You Will LearnPerform data science and analytics using statistics and the R programming language.
Visualize and explore data, including working with large data sets found in big data.
Build an R package.
Test and check your code.
Practice version control.
Profile and optimize your code.