What are the key functions available in R for data manipulation? Explain how the dplyr and tidyr packages can be used for data manipulation tasks.

R provides several key functions and packages for data manipulation. Two popular packages, dplyr and tidyr, offer a wide range of functions specifically designed for efficient and intuitive data manipulation tasks. Let's explore these packages and their functions in more detail: 1. dplyr Package: The dplyr package provides a set of functions that streamline and simplify common data manipulation tasks. Some of the key functions include: * select(): Selects specific columns from a data frame. * filter(): Filters rows based on specific conditions. * mutate(): Adds new variables or modifies existing ones based on transformations. * arrange(): Sorts rows based on specified variables. * group\_by(): Groups data based on specific variables. * summarize(): Generates summary statistics for groups of data. * join(): P....