Data visualization for domain exploration: interactive statistical graphics

Authors:
Graham J. Wills;Daniel Keim
Affiliations:
Member of Technical Staff, Bell Laboratories (Lucent Technologies), Naperville, Illinois;Professor of Computer Science, Database and Visualization Group, University of Constance, Germany/ and Technology Consultant, AT&T Shannon Research Labs, Florham Park, New Jersey
Venue:
Handbook of data mining and knowledge discovery
Year:
2002

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Abstract

This chapter describes the use of interactive statistical graphics such as bar charts, histograms, scatterplots, etc. It briefly outlines their history, and enumerates the important features of an interactive graphic: simplicity, focusing on data, robustness and integration. The Linked views paradigm is expounded on and a demonstration of a set of interactive views is given using a well-known set of baseball data.