COVID-19 Data Analysis Project

This project analyzes COVID-19 data in relation to various happiness indicators across different countries. The analysis explores relationships between:

• COVID-19 infection rates
• COVID-19 death rates
• GDP per capita
• Social support
• Healthy life expectancy
• Freedom to make life choices

Dataset

The analysis uses three main datasets:

1. COVID-19 confirmed cases dataset
2. COVID-19 deaths dataset
3. World Happiness Report dataset

Key Findings

• Strong correlation between infection rates and death rates
• Higher rates in developed countries with better reporting systems
• Significant relationship with social support and life expectancy
• Impact of healthcare systems and population demographics

Tools Used

• Python
• Pandas
• NumPy
• Seaborn
• Matplotlib

How to Use

1. Clone the repository
2. Make sure you have all required Python packages installed
3. Run the Jupyter notebook to see the analysis