Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving (Chapman & Hall/CRC The R Series Book 26)
by Deborah Nolan, Duncan Temple Lang
Data Science in R offers a case-studies approach to computational reasoning and problem solving. Written by Deborah Nolan and Duncan Temple Lang, this Chapman & Hall/CRC title introduces data science through R and provides an applied framework for readers developing analytical and programming skills.
About This Book
Data Science in R presents data science through the programming language R, using a case-studies approach.
The book focuses on computational reasoning and problem solving, connecting practical analysis with the thinking skills used to work with data.
Part of The R Series from Chapman & Hall/CRC, it is suited to readers seeking an applied introduction to data science with R.
Deborah Nolan and Duncan Temple Lang guide readers through the subject with an emphasis on learning by examining cases and solving problems.
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