An interactive web dashboard for exploring COVID-19 statistics across countries and time periods. Built with Streamlit and Plotly, it provides line charts for country-level trend comparisons and bar charts highlighting the most affected nations worldwide.
- Country Comparison Line Charts -- Select multiple countries and data types (Confirmed, Recovered, Death) to visualize trends over a customizable date range.
- Top Affected Countries Bar Charts -- Rank the most impacted countries by a selected metric, with configurable top-K filtering (10 to 30).
- Interactive Date Range Slider -- Narrow down the analysis window using an intuitive slider control.
- Dynamic Filtering -- Choose data types and countries on the fly; charts update instantly.
| Layer | Technology |
|---|---|
| Frontend / UI | Streamlit 1.22 |
| Charting | Plotly 5.14 |
| Data Handling | Pandas |
| Language | Python 3.8+ |
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Clone the repository
git clone https://github.com/Mazhar004/python-data-visualization.git cd python-data-visualization/Streamlit/CovidDataAnalysis -
Create a virtual environment (recommended)
python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate
-
Install dependencies
pip install -r requirements.txt
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Run the app
streamlit run app.py
The app will open in your default browser at
http://localhost:8501.
CovidDataAnalysis/
├── app.py # Application entry point and data loading
├── covid_streamlit_view.py # Streamlit layout and widget definitions
├── covid_fig.py # Plotly figure builders (line and bar charts)
├── utils.py # Helper functions (date filtering, color mapping)
├── requirements.txt # Python dependencies
├── images/ # Screenshot assets
│ ├── covid_line.png
│ └── covid_bar.png
└── README.md
COVID-19 case data sourced from the Humanitarian Data Exchange.