Using Principal Components Analysis to CompareCOVID-19 Mortality Across Multiple Countries3/25/2021 Author: Xingyu Ji Reviewer: The Questioz Editorial Board Reviewer's Note: This paper presents a comparison of COVID-19 Mortality across 26 regions using Principal Component Analysis. Using a data repository compiled by researchers at Johns Hopkins University, the author constructs a multi-dimensional data matrix over which multiple linear regression operations are performed. The results of the Principal Component Analysis have been presented; patterns and anomalies in the data have been both described and analysed thoroughly. Furthermore, the author includes a “future research” section, wherein the significance of this paper in relation to current discourse on the subject has been presented. 
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