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This repository contains the project for a data analysis group assignment focused on examining health measures across US states and their relation to early death (years lost). The analysis leverages Python tools like pandas, Plotly, and other data science libraries to visualize and interpret trends in public health data.
Analysis of the spread of COVID-19 in Indonesia, based on daily cases, death and recovery rates, and regional categories based on WHO. This repository includes informative visualization data, risk level classifications, and data-driven analysis to understand the impact of the pandemic in different regions.