Exploratory Data Analysis. an approach/philosophy for data analysis that employs a variety of techniques (mostly graphical) to (1) maximize insight into a data set; (2) uncover underlying structure; (3) extract important variables; (4) detect outliers and anomalies; (5) test underlying assumptions; (6) develop parsimonious models; and (7) determine optimal factor settings. For details, see the NIST Engineering Statistics Handbook .
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