Abstract
The number of published studies on Exploratory Data Analysis(EDA)has increased at a considerable rate, during the past two decades. This article provides explanatory and bibliographic informations of this area, with reviews of research trends within and across the following categories of research: description of distributions; re-expression; comparison of multiple data sets; resistant smoothing; wandering schematic plot; resistant line; resistant two-way analysis. Our discussions in the present article proceed mainly by comparing the techniques in EDA with the traditional methods used in general. The bibliographies are by no means exhaustive, but they should be enough in order to understand the general features of EDA.
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More From: Kodo Keiryogaku (The Japanese Journal of Behaviormetrics)
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