Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving (Chapman & Hall/CRC: The R Series)
by Deborah Nolan, Professor In The Department Of Statistics Deborah Nolan, Duncan Temple Lang
Data Science in R introduces data science through case studies, using the R programming language to develop computational reasoning and problem-solving skills. As part of the Chapman & Hall/CRC R Series, it offers a structured, practical approach to exploring data and building analytical understanding.
About This Book
Data Science in R presents data science through the R programming language and a case studies approach.
The book focuses on computational reasoning and problem solving, connecting analytical ideas with practical work in R.
It is part of the Chapman & Hall/CRC R Series and is suited to readers seeking a structured introduction to data-oriented computing.
With contributions from Deborah Nolan and Duncan Temple Lang, the title emphasizes learning through applied examples and analytical practice.
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