Issue No. 06 - November/December (2008 vol. 14)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TVCG.2008.144
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.
Index Terms—Interactive Visual Analysis, Multidimensional Multivariate Data Visualization, Categorical Data Visualization, Interactive Visualization, Focus+Context Visualization, Multiple Coordinated Views
H. Hauser, K. Matkovic and W. Freiler, "Interactive Visual Analysis of Set-Typed Data," in IEEE Transactions on Visualization & Computer Graphics, vol. 14, no. , pp. 1340-1347, 2008.