This is a data analysis and visualization project that leverages the Streamlit framework to provide interactive insights into Olympic Games data. The application allows users to explore historical Olympic data, analyze trends, and visualize medal distributions across different sports, countries, and years.
- Visualize Olympic data through interactive charts, tables, and heatmaps.
- Filter and analyze data by sport, country, and year.
- Explore historical trends and patterns in Olympic Games history.
- Easily interact with the data without writing code.
To run this project locally, follow these steps:
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Clone the repository to your local machine:
git clone https://github.com/JatinSingh28/Olympics-Data-Analysis
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Navigate to the project directory:
cd Olympics-Data-Analysis -
Install the project dependencies:
pip install -r requirements.txt
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Run the Streamlit app:
streamlit run app.py
- Open the Streamlit app by following the installation instructions.
- Explore the available filters and options to interact with the Olympic data.
- Analyze trends, visualize medal distributions, and gain insights into Olympic history.