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Interactive Visual Analysis of Set-Typed Data
November/December 2008 (vol. 14 no. 6)
pp. 1340-1347
Wolfgang Freiler, VRVis Research Center, Vienna, Austria
Kresimir Matkovic, VRVis Research Center, Vienna, Austria
Helwig Hauser, University of Bergen, Norway
While it is quite typical to deal with attributes of different data types in the visualization of heterogeneous and multivariate datasets, most existing techniques still focus on the most usual data types such as numerical attributes or strings. In this paper we present a new approach to the interactive visual exploration and analysis of data that contains attributes which are of set type. A set-typed attribute of a data item – like one cell in a table – has a list of n>=0 elements as its value. We present the set’o’gram as a new visualization approach to represent data of set type and to enable interactive visual exploration and analysis. We also demonstrate how this approach is capable to help in dealing with datasets that have a larger number of dimensions (more than a dozen or more), especially also in the context of categorical data. To illustrate the effectiveness of our approach, we present the interactive visual analysis of a CRM dataset with data from a questionnaire on the education and shopping habits of about 90000 people.

[1] S. K. Card, J. D. Mackinlay, and B. Shneiderman, Readings in information visualization: using vision to think. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 1999.
[2] M. Friendly, Mosaic Displays for Multi-Way Contingency Tables. Journal of the American Statistical Association, 89 (425): 190–200, 1994.
[3] H. Hofmann, Exploring categorical data: Interactive mosaic plots. Metrika, 51 (1): 11–26, 2000.
[4] A. Inselberg and B. Dimsdale, Parallel coordinates: a tool for visualizing multi-dimensional geometry. In Proc. of the IEEE Conference on Visualization 1990, pages 361–378, San Francisco, CA.
[5] B. Johnson and B. Shneiderman, Tree-maps: a space-filling approach to the visualization of hierarchical information structures. In Proc. of the IEEE Conference on Visualization 1991, pages 284–291, San Diego, CA.
[6] D. Keim, M. Hao, U. Dayal, and M. Lyons, Value-cell bar charts for visualizing large transaction data sets. IEEE Transactions on Visualization and Computer Graphics, 13 (4): 822–833, July–Aug. 2007.
[7] D. Keim, M. C. Hao, J. Ladisch, M. Hsu, and U. Dayal, Pixel bar charts: a new technique for visualizing large multi-attribute data sets without aggregation. Proc. of the IEEE Symposium on Information Visualization 2001, pages 113–120.
[8] D. A. Keim, M. C. Hao, and U. Dayal, Hierarchical pixel bar charts. Transactions on Visualization and Computer Graphics, 8 (3): 255–269, July/Sept. 2002.
[9] H. A. Kestler, A. Mller, T. M. Gress, and M. Buchholz, Generalized Venn diagrams: a new method of visualizing complex genetic set relations. Bioinformatics, 21 (8): 1592–1595, 2005.
[10] R. Kosara, F. Bendix, and H. Hauser, Parallel sets: interactive exploration and visual analysis of categorical data. IEEE Transactions on Visualization and Computer Graphics, 12 (4): 558–568, July/Aug. 2006.
[11] J. C. Roberts, State of the Art: Coordinated & Multiple Views in Exploratory Visualization. In Proc. of the 5th International Conference on Coordinated & Multiple Views in Exploratory Visualization (CMV 2007). IEEE Computer Society Press.
[12] G. E. Rosario, E. A. Rundensteiner, D. C. Brown, M. O. Ward, and S. Huang, Mapping nominal values to numbers for effective visualization. Information Visualization, 3 (2): 80–95, 2004.
[13] R. Spence and L. Tweedie, The attribute explorer: information synthesis via exploration. Interacting with Computers, 11 (2): 137 – 146, 1998.
[14] J. Stasko, C. Gorg, Z. Liu, and K. Singhal, Jigsaw: Supporting investigative analysis through interactive visualization. IEEE Symposium on Visual Analytics Science and Technology 2007, pages 131–138.
[15] J. J. van Wijk and H. van de Wetering, Cushion treemaps: Visualization of hierarchical information. In Proc. of the IEEE Symposium on Information Visualization 1999, pages 73–78.

Index Terms:
Index Terms—Interactive Visual Analysis, Multidimensional Multivariate Data Visualization, Categorical Data Visualization, Interactive Visualization, Focus+Context Visualization, Multiple Coordinated Views
Citation:
Wolfgang Freiler, Kresimir Matkovic, Helwig Hauser, "Interactive Visual Analysis of Set-Typed Data," IEEE Transactions on Visualization and Computer Graphics, vol. 14, no. 6, pp. 1340-1347, Nov.-Dec. 2008, doi:10.1109/TVCG.2008.144
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