🏅 Olympics Game Analysis

This project delves into the historical data of the Olympic Games, offering insights into athlete performances, medal distributions, and country-wise achievements. Utilizing Python and data analysis libraries, it processes and visualizes data spanning over a century of Olympic history

📂 Project Structure

• athlete_events.csv Primary dataset containing detailed records of athletes, events, and medal.
• noc_regions.csv Mapping of National Olympic Committee (NOC) codes to their respective region.
• app.py Main application script for data analysis and visualizatio.
• olympics analysis.ipynb Jupyter Notebook showcasing exploratory data analysis (EDA) and visualization.
• preprocessor.py Script for data cleaning and preprocessing task.
• helper.py Contains helper functions to support data analysi.
• requirements.txt List of Python dependencies required to run the projec.

🔍 Features

• *Data Cleaning: Handles missing values and ensures data consisteny.
• *Exploratory Data Analysis: Generates insights into medal trends, athlete demographics, and country performancs.
• *Visualizations: Creates charts and graphs to represent data findings effectivey.

🛠️ Installation

1. Clone the Repository:

   git clone https://github.com/adityadubey381/Olympics-Game-Analysis.git
   cd Olympics-Game-Analysis
   ``
   
   

2. Create a Virtual Environment:

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate
   ``
   
   

3. Install Dependencies:

   pip install -r requirements.txt
   ``
   
   

🚀 Usage

• *Run the Application:

  python app.py

• *Explore the Jupyter Notebook:

  jupyter notebook "olympics analysis.ipynb"

📊 Sample Visualizations

(Include sample images or charts here to showcase the analysis results.)

📈 Future Enhancemets

• Integrate interactive dashboards using tools like Streamlit o Das.
• Expand analysis to include Winter Olympic dat.
• Implement predictive modeling for future medal forcasts.

🤝 Contriuting

Contributions are welcome! Please fork the repository and submit a pull request for any enhancements or bu fixes.

📄 icense

This project is open-source and available under the MIT License.