Querying web site visitor trend data with coordinated nested bar and pie charts

Authors:
Mark Sifer
Affiliations:
School of Computer Systems Engineering, University of New South Wales, Sydney, New South Wales, Australia
Venue:
VIP '01 Proceedings of the Pan-Sydney area workshop on Visual information processing - Volume 11
Year:
2001

Citing 4
Cited 0

Tree visualization with tree-maps: 2-d space-filling approach

ACM Transactions on Graphics (TOG)
Visual information seeking: tight coupling of dynamic query filters with starfield displays

CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Structured graph format: XML metadata for describing Web site structure

WWW7 Proceedings of the seventh international conference on World Wide Web 7
Starting simple: adding value to static visualisation through simple interaction

AVI '98 Proceedings of the working conference on Advanced visual interfaces

Quantified Score

Hi-index	0.00

Visualization

Abstract

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.