Data wrangling is a crucial process in any data science project. It involves cleaning, transforming, and structuring raw data into a format suitable for analysis. R, a powerful statistical language, provides a rich set of libraries to effectively perform data wrangling operations. With R's versatile functions, you can handle missing values, transf