Visual mining business service using pixel bar charts

Ming C. Hao, Umeshwar Dayal, Fabio Casati

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


Basic bar charts have been commonly available, but they only show highly aggregated data. Finding the valuable information hidden in the data is essential to the success of business. We describe a new visualization technique called pixel bar charts, which are derived from regular bar charts. The basic idea of a pixel bar chart is to present all data values directly instead of aggregating them into a few data values. Pixel bar charts provide data distribution and exceptions besides aggregated data. The approach is to represent each data item (e.g. a business transaction) by a single pixel in the bar chart. The attribute of each data item is encoded into the pixel color and can be accessed and drilled down to the detail information as needed. Different color mappings are used to represent multiple attributes. This technique has been prototyped in three business service applications - Business Operation Analysis, Sales Analysis, and Service Level Agreement Analysis at Hewlett Packard Laboratories. Our applications show the wide applicability and usefulness of this new idea.

Original languageEnglish
Pages (from-to)117-123
Number of pages7
JournalProceedings of SPIE - The International Society for Optical Engineering
Publication statusPublished - 2004
Externally publishedYes


  • Business Operation Analysis
  • Color Mappings
  • Multi-attribute
  • Pixel Bar Charts
  • Visualization
  • Web Service

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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