Dealing with Messy Data

Empirical researchers are increasingly drawn to curate a unique dataset by using a variety of secondary data sources. One of the key prerequisites to any such empirical research is to clean up data sources. In this workshop, I will explain general data management strategies, introduce common situations where messy data arises, and provide practical tutorials on dealing with messy data.

Hyunwoo Park
The Ohio State University