Synopsis: A method for visual exploration of large and multidimensional datasets by navigation in data dimension space using 2D scatterplots and a matrix of scatterplots.
- Start date: February, 2008
Scatterplots remain one of the most popular and widely-used visual representations for multidimensional data due to their simplicity, familiarity and visual clarity, even if they lack some of the flexibility and visual expressiveness of newer multidimensional visualization techniques. This project proposes new interactive methods to explore multidimensional data using scatterplots. This exploration is performed using a scatterplot matrix that presents an overview of the possible configurations, thumbnails of the scatterplots, and support for interactive navigation in the multidimensional space. Transitions between scatterplots are performed as animated rotations in 3D space. Users can iteratively build queries using bounding volumes in the dataset, sculpting the query from different viewpoints to become more and more refined. Furthermore, the dimensions in the navigation space can be reordered, manually or automatically, to highlight salient correlations and differences among them.
- Niklas Elmqvist, INRIA, Université Paris-Sud (elm#at#lri.fr)
- Jean-Daniel Fekete, INRIA, Université Paris-Sud (jean-daniel.fekete#at#inria.fr)
- Pierre Dragicevic, INRIA, Université Paris-Sud (pierre.dragice#at#gmail.com)
- N. Elmqvist, P. Dragicevic, J.-D. Fekete. Rolling the Dice: Multidimensional Visual Exploration using Scatterplot Matrix Navigation. In IEEE Transactions on Visualization and Computer Graphics (Proc. InfoVis 2008), to appear, 2008. (Best paper award) [Website]
