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. These sources can employ different encodings, formats, and follow different conventions all of which must be normalized before analysis can take place. Exactly what steps …