Data Laundry

Saturday morning is a good time to do laundry.

It's common knowledge that much of data analytical work comes in the form of cleaning data; that is to say, acquiring and molding data into a conventional format ready to be used by data analytical tools.

In these sessions, we'll take messy data and wrangle them into cleaner formats. We focus on the cleaning portion because a) the finished product is fairly objective and b) everyone needs to do it and can learn from other's styles.

We'll provide a way for participants to obtain the data on their end. Participants are encouraged to bring a script to the session for discussion, but primarily the presenter will be demonstrating their solution and discussing the tools and methods used to generate the finished product. Any code will be published to our github repository for this activity.