The computing resources of the TeraGrid are a powerful tool for research by graduate students throughout the world. In this paper we analyze the usage of the TeraGrid by a sample of 876 graduate students from the institutions that form the Committee on Institutional Cooperation. We investigate demographic information and usage of TeraGrid resources and present visualizations. We also analyze the sample using data mining algorithms, specifically rule association learning and hierarchical clustering, and create interactive visualizations. This work reveals interesting patterns about the research done by graduate students on the TeraGrid and the resources they use.