A Streamlit-based web application that provides interactive data analysis and visualization of Olympic Games history. It processes athlete event data and offers insights into medal tallies, country-wise and athlete-wise performance, and overall trends in Olympic history.
- Medal Tally – View medals by country and year
- Overall Analysis – Track trends in sports, athletes, and nations
- Country-wise Analysis – Analyze a country's Olympic performance over time
- Athlete-wise Analysis – Examine athlete distribution and age trends
- Interactive Visualizations – Line charts, tables, and distributions using Plotly
- Python – Data processing and backend logic
- Streamlit – Web framework for interactive UI
- Pandas – Data handling and manipulation
- Plotly – Data visualization
- Scipy – Statistical distributions
- Clone the repository:
git clone (https://github.com/deepak-158/VictoryViz) cd VictoryViz - Install dependencies:
pip install -r requirements.txt
- Run the application:
streamlit run app.py
- Select an option from the sidebar to explore different analyses.
- View medal tallies, trends, and visual insights interactively.
Fork the repository, create a new branch, and submit a pull request with improvements.