TidyX 127: Fuzzy Name Joining

This week, Ellis Hughes and I tackle a question from one of our patreon viewers. The individual was curious about name matching when dealing with a large amount of public sports data sets. For anyone working in analysis and dealing with public data sets, name matching can be the bane of your existence. Each website seems to have its own unique way of spelling the names for people. To work this out, we create a small sample of data and talk through two different way to to handle the issue.

To watch our screen cast, CLICK HERE.

To access our code, CLICK HERE.