Data Wrangling: Structuring and Cleaning Data

This lecture covers the process of data wrangling, including intrarecord and interrecord structuring, error detection, and data repairing. It explores techniques such as aggregations, pivots, and assessing data faithfulness. The instructor discusses functional dependencies, violation detection, and discovery, as well as denial constraints and their detection. The lecture also delves into the complexities of data temporality, periodicities, and time zones.