Data Wrangling involves the process of cleaning and organizing data before any analysis takes place. It typically consumes between 50% and 80% of an analyst’s time. Factors to consider include time, granularity, scope, and structure. Importance: 1. Understanding the type of available data. 2. Choosing which data and level of detail to focus on. 3.