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Interactive Visual Analysis of Set-Typed Data

Wolfgang Freiler, Kresimir Matkovic, Helwig Hauser

ARTICLE, IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), Oct, 2008

Abstract

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.

Published

IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG)

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BibTeX

@article{freiler08setTyped,
  author = {Wolfgang Freiler and Kresimir Matkovic and Helwig Hauser},
  title = {Interactive Visual Analysis of Set-Typed Data},
  year = {2008},
  abstract = {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.},
  month = {Oct},
  journal = {IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG)},
  event = {IEEE Information Visualization 2008},
  location = {Columbus, Ohio, USA},
  volume = {14},
  number = {6},
  pages = {1340--1347},
  URL = {http://dx.doi.org/10.1109/TVCG.2008.144},


}






 Last Modified: Jean-Paul Balabanian, 2013-05-29