  We present our experience with a data science problem in Public Health, where
researchers use social media (Twitter) to determine whether the public shows
awareness of HIV prevention measures offered by Public Health campaigns. To
help the researcher, we develop an investigative exploration system called
boutique that allows a user to perform a multi-step visualization and
exploration of data through a dashboard interface. Unique features of boutique
includes its ability to handle heterogeneous types of data provided by a
polystore, and its ability to use computation as part of the investigative
exploration process. In this paper, we present the design of the boutique
middleware and walk through an investigation process for a real-life problem.
