Hierarchical Difference Scatterplots - Interactive Visual Analysis of Data Cubes
Abstract
Data cubes as employed by On-Line Analytical Processing(OLAP) play a key role in many application domains. The analysis typically involves to compare categories of different hierarchy levels with respect to size and pivoted values. Most existing visualization methods for pivotedvalues, however, are limited to single hierarchy levels. Themain contribution of this paper is an approach calledHierarchical Difference Scatterplot (HDS). A HDS allows forrelating multiple hierarchy levels and explicitly visualizesdifferences between them in the context of the absoluteposition of pivoted values. We discuss concepts of tightlycoupling HDS to other types of tree visualizations andpropose the integration in a setup of multiple views, whichare linked by interactive queries on the data. We evaluateour approaches by analyzing social survey data incollaboration with a domain expert.
H. Piringer, M. Buchetics, H. Hauser, and M. E. Gröller, "Hierarchical Difference Scatterplots - Interactive Visual Analysis of Data Cubes," in Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery (VAKD), 2009, p. 56–65.
[BibTeX]
Data cubes as employed by On-Line Analytical Processing(OLAP) play a key role in many application domains. The analysis typically involves to compare categories of different hierarchy levels with respect to size and pivoted values. Most existing visualization methods for pivotedvalues, however, are limited to single hierarchy levels. Themain contribution of this paper is an approach calledHierarchical Difference Scatterplot (HDS). A HDS allows forrelating multiple hierarchy levels and explicitly visualizesdifferences between them in the context of the absoluteposition of pivoted values. We discuss concepts of tightlycoupling HDS to other types of tree visualizations andpropose the integration in a setup of multiple views, whichare linked by interactive queries on the data. We evaluateour approaches by analyzing social survey data incollaboration with a domain expert.
@INPROCEEDINGS {piringer09hds,
author = "Harald Piringer and Matthias Buchetics and Helwig Hauser and Meister Eduard Gr{\"o}ller",
title = "Hierarchical Difference Scatterplots - Interactive Visual Analysis of Data Cubes",
booktitle = "Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery (VAKD)",
year = "2009",
pages = "56--65",
month = "jun",
abstract = "Data cubes as employed by On-Line Analytical Processing(OLAP) play a key role in many application domains. The analysis typically involves to compare categories of different hierarchy levels with respect to size and pivoted values. Most existing visualization methods for pivotedvalues, however, are limited to single hierarchy levels. Themain contribution of this paper is an approach calledHierarchical Difference Scatterplot (HDS). A HDS allows forrelating multiple hierarchy levels and explicitly visualizesdifferences between them in the context of the absoluteposition of pivoted values. We discuss concepts of tightlycoupling HDS to other types of tree visualizations andpropose the integration in a setup of multiple views, whichare linked by interactive queries on the data. We evaluateour approaches by analyzing social survey data incollaboration with a domain expert.",
images = "images/piringer09hds.jpg, images/piringer09hds2.jpg",
thumbnails = "images/piringer09hds_thumb.jpg, images/piringer09hds2_thumb.jpg",
location = "Paris, France",
url = "//www.cg.tuwien.ac.at/research/publications/2009/piringer-2009-hds/"
}