Death Cause Analysis

Tools: Python, Pandas, Matplotlib, Seaborn, Jupyter Notebook

This project explores global mortality data to uncover the leading causes of death across different regions and time periods. The analysis includes data cleaning, transformation, and visualization to identify significant patterns and trends. Key insights highlight the top 10 causes of death and their relative contribution to total mortality. The purpose of this project is to demonstrate the ability to perform end-to-end data analysis. From data preparation to insight visualization using Python’s data science ecosystem.