This project provides insights into global COVID-19 data using Python libraries like Pandas, Matplotlib, and Seaborn.
- Data Collection & Cleaning
- Exploratory Data Analysis
- Trend Visualization
- Vaccination vs Case Trends
Dataset used: Our World in Data COVID-19
- Python
- Pandas
- Matplotlib & Seaborn
- Jupyter Notebook
- Clone the repository
- Install dependencies:
pip install -r requirements.txt - Run the Jupyter notebook
Graphs showing daily cases, deaths, and vaccine coverage across countries.