COVID-19 Data Analysis using Python

This project provides a comprehensive analysis of COVID-19 data using Python data science tools, including importing and cleaning the dataset with Pandas, exploring the data (confirmed cases, deaths, recoveries), calculating percentages of deaths and recoveries, creating insightful visualizations with Matplotlib and Seaborn, and highlighting key trends to better understand the global impact of the pandemic.