Data cleaning is an important step in any data-driven research project. Often data is harvested from diverse sources such as the web, databases, spreadsheets, text files, and countless other places. Before it is cleaned, “messy” data can suffer from a host of problems, including inconsistent encodings, formats, and missing values to name just a few. …