Conferences in Research and Practice in Information Technology
  

Online Version - Last Updated - 20 Jan 2012

 

 
Home
 

 
Procedures and Resources for Authors

 
Information and Resources for Volume Editors
 

 
Orders and Subscriptions
 

 
Published Articles

 
Upcoming Volumes
 

 
Contact Us
 

 
Useful External Links
 

 
CRPIT Site Search
 
    

Querying Web Site Visitor Trend Data with Coordinated Nested Bar and Pie Charts

Sifer, M.

    Bar charts and pie charts are traditional ways of displaying trends and proportions in a data set. However, static charts don't scale well. We introduce a technique which does scale, an interactive browser design which uses aggregation and zooming to support bar and pie charts with thousands of items. Further, once a chart has many elements a user needs to be able to explore subsets of the data. We use a second view of the data, shown as a second chart as a scalable filter for selecting subsets. We present our design and its implementation in the SGViewer tool, and demonstrate with visit data taken from a web site log.
Cite as: Sifer, M. (2002). Querying Web Site Visitor Trend Data with Coordinated Nested Bar and Pie Charts. In Proc. Selected papers from 2001 Pan-Sydney Area Workshop on Visual Information Processing (VIP2001), Sydney, Australia. CRPIT, 11. Feng, D. D., Jin, J., Eades, P. and Yan, H., Eds. ACS. 1-2.
pdf (from crpit.com) pdf (local if available) BibTeX EndNote GS
 

 

ACS Logo© Copyright Australian Computer Society Inc. 2001-2014.
Comments should be sent to the webmaster at crpit@scem.uws.edu.au.
This page last updated 16 Nov 2007