This paper adapts and uses a dynamic visualization environment called the Interaction Geography Slicer (IGS) developed by the 1st author to visualize data about New York City’s Stop & Frisk Program. Findings and discussion focus on how this environment provides new ways to view, interact with and query large-scale data sets over space and through time to support analyses of and public discussion about New York City’s Stop & Frisk Program.