~R_language_Module~

R for Data Science (2e)

The document outlines key concepts and practices in R for data science, focusing on the tidyverse, which includes essential packages like ggplot2 for data visualization and dplyr for data manipulation. It emphasizes the importance of tidy data principles, the process of data wrangling, and the use of visualization techniques to communicate findings effectively. Key functions and their applications in data analysis, such as filtering, summarizing, and grouping data, are discussed, along with the use of pipes for cleaner code. The document also introduces the concept of grouping by multiple variables and the new .by argument for simplifying operations.