Supporting Visual Data Exploration via Interactive Constraints

This work aims to bridge the gap between the goals of the users of information visualization systems and the techniques that are currently available to them for interacting with force-directed layouts. We propose that the benefits from applying positional constraints to graphical objects extend beyond their typical use in network graphs. In particular, a constraint-based approach can be an effective means for aiding users in exploring multivariate data that, by its nature, is difficult to present effectively. Providing easy to use and understand slider components for specifying the strength of constraints applied in a layout gives users the ability to subtly control graphic object positioning. Objects can be filtered and automatically grouped based on the value of one or more properties, with each property representing a different data variable. Applying different constraint strengths to these groups provides an effective means for identifying commonalities and patterns in multivariate data.