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ThinkMind // DATA ANALYTICS 2021, The Tenth International Conference on Data Analytics // View article data_analytics_2021_2_10_68002


Analyzing the United State’s Nationwide Opioid Crisis and Socio-economic Factors using K-Means Clustering

Authors:
Ryan McGinnis
Les Sztandera

Keywords: opioid; k-means; clustering; socio-economic; factors; statistical analysis.

Abstract:
In this paper, we lay out the severity of the opioid crisis by focusing on the current literature of socio-economic addiction factors. We also discuss how opioids have become so prominent in the US. The analysis was done by taking data from one major city per state, totaling 50 cities, and putting them through a K means clustering analysis. Our findings revealed that commute times and average annual income had proportional increase and decrease to their cities opioid death rates. This builds to the current literature of the different quality of life factors that contribute to one’s likelihood to develop an addiction.

Pages: 23 to 27

Copyright: Copyright (c) IARIA, 2021

Publication date: October 3, 2021

Published in: conference

ISSN: 2308-4464

ISBN: 978-1-61208-891-4

Location: Barcelona, Spain

Dates: from October 3, 2021 to October 7, 2021

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