Olympic Games Analysis (1896-2022) 🏅

This project aims to gather and analyze data from the Olympic Games from 1896 to 2022 using BeautifulSoup for scraping and Jupyter notebooks for analysis.

Data Scraping 🕵️‍♂️

Using BeautifulSoup to extract data from official Olympic Games websites and other reliable sources. Data includes event results, medals won by countries, participating athletes, sports disciplines, etc.

Data Analysis 📊

Using Jupyter notebooks to analyze the extracted data. Analyses include:

• Distribution of medals by country and year.
• Trends in countries' performances over time.
• Analysis of the most popular sports disciplines.
• Profiles of the most successful athletes.
• Correlations between countries' performances and socio-economic factors.

Installation ⚙️

1. Clone the repository:

git clone https://github.com/Yohan-GRNR/JO-explorer.git

2. Install dependencies:

pip install -r requirements.txt

Usage 🚀

Open Jupyter notebooks to run the scraping script to retrieve data and perform analyses:

Contributing 🤝

Contributions are welcome! If you'd like to add features, fix bugs, or improve documentation, feel free to open a Pull Request.

License 📜

This project is licensed under the MIT License. See the LICENSE file for details.