Election Data Analysis From Clustering Welfare Data

摘要

Understanding trends in elections based on socioeconomic characteristics is highly important, having implications that permeate throughout society. In this paper, I investigate the relations between various socioeconomic facets of American states and their political alignment, indicated by their choice in the 2016 presidential election through the use of clustering algorithms, K Means and K Medoids. These methods are utilized in order to form clusters in welfare data, and cluster strength will be determined through comparison with the election results.