An interactive data dashboard built with Streamlit, Pandas, and Plotly to explore and visualize the global spread of COVID-19 during the first major wave of the pandemic (Jan–Jul 2020).
✅ Cleaned and structured dataset from Kaggle
✅ Interactive country selection
✅ Time series analysis for confirmed, deaths, recovered, and active cases
✅ Top 10 hardest-hit countries
✅ Animated geospatial map showing active case growth over time
✅ Responsive layout and scrollable components
- Python 🐍
- Pandas — for data wrangling and cleaning
- Plotly Express — for interactive and animated visualizations
- Streamlit — for building the web-based dashboard UI
# 1. Clone the repo
git clone https://github.com/your-username/covid19-dashboard.git
cd covid19-dashboard
# 2. Install dependencies
pip install -r requirements.txt
# 3. Run the app
streamlit run app.py