R for Data Science - Import, Tidy, Transform, Visualize, and Model Data

Key Facts and Insights

• The book provides a comprehensive guide to using the R programming language for data science, covering the process from data importation to visualization and modeling.
• It introduces the 'tidyverse', a collection of R packages designed for data science, and it emphasizes on 'tidy data', a concept that simplifies data analysis.
• The authors explain data importation in R using the readr package, which enhances efficiency and productivity in data handling.
• The book extensively covers data transformation using dplyr, which includes filtering, arranging, selecting, mutating, and summarizing data.
• Hadley Wickham and Garrett Grolemund delve into data visualization...

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