Information visualizations with multiple coordinated views enable users to rapidly explore complex data and discover relationships. However, it is usually difficult for users to find or create the coordinated visualizations they need. Users query their relational database and load results into desired visualizations. Then they specify coordinations between visualizations for selecting, navigating, or re-querying.
Developers can make independent visualization tools 'snap-able' by including a few simple hooks.
Tight Coupling for Flexible Mutiple-Window Coordination. Snap-Together Visualization has been applied to Legal Information Interfaces , census statistics from the US Census Bureau, Maryland State Highway traffic incidents , and Photo Libraries . This research has been partially supported by funding from an NSF grant, WestGroup , the US Census Bureau , Maryland State Highway Administration , Spotfire AB , and Microsoft .