Data wrangling is a crucial step in any data science project. It involves cleaning, transforming, and organizing raw data into a format suitable for analysis. R, a powerful analytical language, provides a rich set of packages to effectively perform data wrangling operations. With R's versatile capabilities, you can address missing values, modify d