Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving
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This book presents case studies in statistical computing for data analysis. Each case study addresses a statistical application with a focus on comparing different computational approaches and explaining the reasoning behind them. The case studies can serve as material for instructors teaching courses in statistical computing and applied statistics. The book aids readers in understanding the thought process of data analysis and how to reason about computing.
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