Correspondence Analysis between the Location and the Leading Causes of Death in the United States

TL;DR

This study uses Correspondence Analysis to explore the relationship between geographic locations and leading causes of death in the US, revealing significant associations and key dimensions explaining most variance.

Contribution

It applies Correspondence Analysis to mortality data to identify spatial associations with causes of death, providing a novel visualization of these relationships.

Findings

Significant association between location and causes of death

First two dimensions explain 61% of variance

Identifies key spatial patterns in mortality data

Abstract

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.