This book covers the use of R programming for statistical computing and data science applications. Readers will learn to perform data wrangling, statistical modeling, and visualization using packages such as ggplot2, dplyr, and caret. The book provides step-by-step examples for applying machine learning techniques, hypothesis testing, and predictive analytics. With a focus on practical projects, readers will gain the ability to analyze data and produce clear, insightful results for academic, business, and research applications.
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