Data Wrangling: Structuring and Wrangling Issues

This lecture introduces the concept of data wrangling, focusing on transforming and preparing data for analysis. It covers the stages of wrangling, including raw, refined, and production stages, as well as issues such as structure, faithfulness, temporality, and scope. The instructor explains intrarecord and interrecord structuring techniques, such as positional and pattern extraction, aggregations, and pivots.