  Correspondence Analysis analyzes two-way or multi-way tables withe each row
and column becoming a point ion a multidimensional graphical map called biplot.
It can be used to extract essential dimensions allowing simplification of the
data matrix. This study aims to measure the association between the location
and the leading causes of death in the United States of America and to
determine the location where a particular disease is highly associated. The
research data consists of two variables with 510 data points. Results show that
there is a significant association between the location ad leading cause of
death in the United States, and 61% of the variance in the model are explained
by the first two dimensions.
