The University of Michigan library system has licensed a large data set containing real estate transactions, deeds, and property tax records for the United States. The data were collected by the commercial vendor CoreLogic, and our license allows UM researchers to use the data for research purposes. These data are of potential interest to researchers in many fields, as they capture spatial and temporal real estate market conditions, taxing practices, and the physical states of millions of residential structures in the US.
In this workshop, participants will learn to create geographical subsets of the data, seamlessly integrate it in workflow, and see examples of research questions where the data can be useful. Participants should know Python and R.