Hierarchical Difference Scatterplots: Interactive Visual Analysis of Data Cubes

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

ARTICLE, ACM SIGKDD Explorations Newsletter, 2010

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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

ACM SIGKDD Explorations Newsletter

• Volume: 11
• Number: 2
• Pages: 49–58
• URL: http://dx.doi.org/10.1145/1809400.1809408

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BibTeX

@article{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 =  {2010},
  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 = {49--58},
  journal = {ACM SIGKDD Explorations Newsletter},
  volume = {11},
  number = {2},


  URL = {http://dx.doi.org/10.1145/1809400.1809408},
}