TabuVis: a light weight visual analytics system for multidimensional data

  • Authors:
  • Quang Vinh Nguyen;Yu Qian;Mao Lin Huang;Jiawan Zhang

  • Affiliations:
  • University of Western, Sydney, Australia, NSW;UT Southwestern Medical Center at Dallas, Dallas, TX;University of Technology, Sydney, Australia;Tianjin University, Tianjin, P. R., China

  • Venue:
  • Proceedings of the 5th International Symposium on Visual Information Communication and Interaction
  • Year:
  • 2012

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Abstract

This paper describes TabuVis, a light weight visual analytics system that provides a flexible, customizable and effective visualization for multidimensional data. A key aspect of visual analytics of data with multiple attributes is the quality and appropriateness of the analytical platforms whose presentation can be adjusted via domain experts. A commercial-free and comprehensive prototype was developed that used scatter-plot approach to support the visual analytics process. Our system consists of multiple components enabling the complete analysis process, including data processing, automatic marks, interactive visualization and control. We demonstrate the effectiveness of TabuVis with two case studies using medical and Oscars data sets.