Details

Autor(en) / Beteiligte

• Daniel A Keim and Ming C Hao and Umesh Dayal and Meichun Hsu

Titel

Pixel bar charts: a visualization technique for very large multi-attribute data sets

Ist Teil von

• Information visualization, 2002-03, Vol.1 (1), p.20

Ort / Verlag

Thousand Oaks: SAGE PUBLICATIONS, INC

Erscheinungsjahr

2002

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• In this article, the authors describe a new visualization technique called pixel bar chart. The basic idea of pixel bar charts is to use the intuitive and widely used presentation paradigm of bar charts, but also use the available screen space to present more detailed information. By coloring the pixels within the bars according to the values of the data records, very large amounts of data can be presented to the user. To make the display more meaningful, two parameters of the data records are used to impose an ordering on the pixels in the x- and y-directions. Pixel bar charts can be seen as a generalization of bar charts. They combine the general idea of x-y plots and bar charts to allow an overlap-free, non-aggregated display of multi-attribute data.