Niklas Elmqvist, Ph.D.


  
scatterdice
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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.

News

  • (2009-02-10) ScatterDice demo! - We have made a Java WebStart version of the ScatterDice application which can be run in your web browser. Access the demo page here .
  • (2008-08-27) IEEE InfoVis 2008 best paper - Our paper "Rolling the Dice" on the ScatterDice project and its model, design, and implementation has been named Best Paper at IEEE InfoVis 2008 ! InfoVis is the most prestigious conference in my field of research, so we are very excited to receive this distinction.

Details

  • 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.

New! Try ScatterDice for yourself by going to the new demo page with a Java Webstart version of the application!

People

Publications

  • N. Elmqvist, P. Dragicevic, J.-D. Fekete. Rolling the Dice: Multidimensional Visual Exploration using Scatterplot Matrix Navigation. IEEE Transactions on Visualization and Computer Graphics (Proc. InfoVis 2008), 14(6):1141-1148, 2008. (Best paper award) [PDF] [AVI] [YouTube] [SlideShare] [BibTeX] [Website]

Media

Visual exploration of a multidimensional dataset using the ScatterDice application. Visual exploration of a multidimensional dataset using the ScatterDice application. Visual exploration of a multidimensional dataset using the ScatterDice application.