Educational and government data have historically been presented in static tables and graphs. The past decades' explosion of on-line access has opened the possibility of reaching broader audiences with enhanced experiences and interactivity. To take a fresh look at these possibilities, the National Institute of Statistical Sciences launched its 2nd Statistically Accurate Interactive Display (SAID) in Graphics student competition. Specific design opportunities were based on the entrants selecting from publicly available National Center for Education Statistics data sets that had few, if any, corresponding graphs. Beyond highlighting the range of questions addressable by the data, each entry was to focus on demonstrating (1) how an initially static image could draw in the viewer to interactively explore, and (2) how interactivity can be leveraged to help present uncertainty in the data. This presentation features selected contest entries, comments from selected winners - focusing on their experience determining the questions of interest and implementing the visualizations, and remarks from judges as to what the entries suggest to help advance current visualization usage.