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 A Python-based data analysis project exploring weekly death counts in the U.S., categorized by causes such as COVID-19, heart disease, cancer, and more. This project focuses on cleaning, transforming, and analyzing real-world mortality data to reveal meaningful patterns and trends using visual storytelling techniques.
 
 
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 This analysis leverages publicly available datasets to understand mortality trends across the United States, focusing on: