Ask any data scientist how they spend most of their time, and the answer is rarely “building models.” More often than not, a significant portion of a data project is spent cleaning, reshaping, and preparing data before meaningful analysis can begin. This process, known as data wrangling, is one of the most essential yet underappreciated stages of the data science workflow. Without...