Axes-based visualizations with radial layouts

Christian Tominski, James Abello, Heidrun Schumann

Research output: Contribution to conferencePaper

83 Scopus citations

Abstract

In the analysis of multidimensional data sets questions involving detection of extremal events, correlations, patterns and trends play an increasingly important role in a variety of applications. Axes-based visualizations like Parallel or Star Coordinates are useful tools for the analysis of multidimensional data sets. In this paper, we present several interactive axes, which can be used to analyze data in an intuitive manner. Furthermore, we present two novel radial visual arrangements of such axes - the TimeWheel and the MultiComb. They focus on data sets with one variable of reference. TimeWheel and MultiComb in combination with interactive axes are part of an interactive framework called VisAxes, which can be used for enhanced multidimensional data browsing and analysis.

Original languageEnglish (US)
Pages1242-1247
Number of pages6
DOIs
StatePublished - 2004
EventApplied Computing 2004 - Proceedings of the 2004 ACM Symposium on Applied Computing - Nicosia, Cyprus
Duration: Mar 14 2004Mar 17 2004

Other

OtherApplied Computing 2004 - Proceedings of the 2004 ACM Symposium on Applied Computing
CountryCyprus
CityNicosia
Period3/14/043/17/04

All Science Journal Classification (ASJC) codes

  • Software

Keywords

  • Axes-Based Techniques
  • Multidimensional Data Analysis
  • Visualization

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    Tominski, C., Abello, J., & Schumann, H. (2004). Axes-based visualizations with radial layouts. 1242-1247. Paper presented at Applied Computing 2004 - Proceedings of the 2004 ACM Symposium on Applied Computing, Nicosia, Cyprus. https://doi.org/10.1145/967900.968153