Data exploration and visualization based on the Grade Correspondence Analysis is waiting for the final recognition by the statistical community. Its main points will be briefly summarized in the Introduction and Section 2 with reference to the contemporary use of Gini-Lorenz concepts and to contemporary visual approaches in analyzing large multivariate datasets. The summary will be illustrated by three recent applications to medical data: Eurostat data on self-perceived health, questionnaire data from the Children’s Memorial Health Institute in Poland and a set of data specially invented to describe NMR human brain image.
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