Interactive High-Dimensional Data Visualization (1996)
| Venue: | Journal of Computational and Graphical Statistics |
| Citations: | 92 - 16 self |
BibTeX
@ARTICLE{Buja96interactivehigh-dimensional,
author = {Andreas Buja and Dianne Cook and Deborah F. Swayne},
title = {Interactive High-Dimensional Data Visualization},
journal = {Journal of Computational and Graphical Statistics},
year = {1996},
volume = {5},
pages = {78--99}
}
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Abstract
We propose a rudimentary taxonomy of interactive data visualization based on a triad of data analytic tasks: finding Gestalt, posing queries, and making comparisons. These tasks are supported by three classes of nteractive view manipulation: focusing, linking and arranging views. This discussion extends earlier work on the principles of focusing and linking and sets them on a firmer base. Next, we give a high-level introduction to a particular system for multivariate data visualization: XGobi. This introduction is not comprehensive but emphasizes XGobi tools that are examples of focusing, linking and arranging views, namely: high-dimensional projections, linked scatterplot brusing, and matrices of conditional plots.
