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