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Hierarchical Difference Scatterplots - Interactive Visual Analysis of Data Cubes

Harald Piringer, Matthias Buchetics, Helwig Hauser and M. Eduard Gröller

INPROCEEDINGS, Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery (VAKD), jun, 2009

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 pivoted values, however, are limited to single hierarchy levels. The main contribution of this paper is an approach called Hierarchical Difference Scatterplot (HDS). A HDS allows for relating multiple hierarchy levels and explicitly visualizes differences between them in the context of the absolute position of pivoted values. We discuss concepts of tightly coupling HDS to other types of tree visualizations and propose the integration in a setup of multiple views, which are linked by interactive queries on the data. We evaluate our approaches by analyzing social survey data in collaboration with a domain expert.

Published

Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery (VAKD)

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BibTeX

@inproceedings{piringer09hds,
  title =      "Hierarchical Difference Scatterplots - Interactive Visual
               Analysis of Data Cubes",
  author =     "Harald Piringer and Matthias Buchetics and Helwig Hauser and
               M. Eduard Gr{\"o}ller",
  year =       "2009",
  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 pivoted
values, however, are limited to single hierarchy levels. The
main contribution of this paper is an approach called
Hierarchical Difference Scatterplot (HDS). A HDS allows for
relating multiple hierarchy levels and explicitly visualizes
differences between them in the context of the absolute
position of pivoted values. We discuss concepts of tightly
coupling HDS to other types of tree visualizations and
propose the integration in a setup of multiple views, which
are linked by interactive queries on the data. We evaluate
our approaches by analyzing social survey data in
collaboration with a domain expert.",
  pages =      "56--65",
  month =      jun,
  location =   "Paris, France",
  booktitle =  "Proceedings of the ACM SIGKDD Workshop on Visual Analytics
               and Knowledge Discovery (VAKD)",


  URL = "http://www.cg.tuwien.ac.at/research/publications/2009/piringer-2009-hds/",
}






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