Data science can lend fresh perspective on virtually any scholarly discipline, but its practice is often limited to those who have been trained extensively in its methods. In this workshop, Ilya Zaslavsky, Director of Spatial Information Systems Laboratory at UCSD, gave a tutorial on SUAVE, a platform-based tool he’s helped build for exploring data sets as varied as Salvador Dali’s paintings to responses from the General Social Survey.