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The R Series
Data Science in R A Case Studies Approach to Computational Reasoning and Problem Solving
Effectively Access, Transform, Manipulate, Visualize, and Reason about Data and ComputationData Science in A Case Studies Approach to Computational Reasoning and Problem Solving illustrates the details involved in solving real computational problems encountered in data analysis. It reveals the dynamic and iterative process by which data analysts
Paperback
First published March 15, 2015
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Displaying 1 of 1 review
June 30, 2016
Exactly what the title says: case studies in data analysis using the R statistical computing environment.
Unlike most collections of case-studies, the cases here are well-chosen, and complement each other to highlight different analytic techniques. Many that appear dry and uninformative (e.g., simulation of a branching process) actually prove to be the most interesting due to the stepwise-refinement approach taken by the authors. Each case begins with a "Computational Topics" section which lists the R programming techniques that will be covered in detail.
The contributed chapters are the weakest (which is surprising, given that one of the contributors is Hadley Wickham, whose own books are excellent) and seem to lack the big-picture vision of the primary authors.
Unlike most collections of case-studies, the cases here are well-chosen, and complement each other to highlight different analytic techniques. Many that appear dry and uninformative (e.g., simulation of a branching process) actually prove to be the most interesting due to the stepwise-refinement approach taken by the authors. Each case begins with a "Computational Topics" section which lists the R programming techniques that will be covered in detail.
The contributed chapters are the weakest (which is surprising, given that one of the contributors is Hadley Wickham, whose own books are excellent) and seem to lack the big-picture vision of the primary authors.
Displaying 1 of 1 review