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Perfect for sports analysts and Olympics enthusiasts!\n\n🌍 **Live App**: [Olympics Data Insights](https://olympics-data-insights.streamlit.app/)\n\n---\n\n## 📌 Table of Contents\n- [🌟 Key Features](#-key-features)\n- [📊 Dataset Overview](#-dataset-overview)\n- [🛠️ Tech Stack](#️-tech-stack)\n- [📸 Screenshots](#-screenshots)\n- [🚀 Getting Started](#-getting-started)\n- [🤝 Contributing](#-contributing)\n- [📞 Contact](#-contact)\n\n---\n\n## 🌟 Key Features\n\n\u003cdiv style=\"display: flex; flex-wrap: wrap; gap: 16px; margin: 20px 0;\"\u003e\n\n\u003cdiv style=\"background: #f8f9fa; padding: 16px; border-radius: 8px; border-left: 4px solid #FFD700; flex: 1 1 300px;\"\u003e\n\u003ch3\u003e📈 Historical Trends\u003c/h3\u003e\n\u003cul\u003e\n\u003cli\u003e120 years of Olympic data (1896-2016)\u003c/li\u003e\n\u003cli\u003eMedal progression by country\u003c/li\u003e\n\u003cli\u003eSport popularity over time\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/div\u003e\n\n\u003cdiv style=\"background: #f8f9fa; padding: 16px; border-radius: 8px; border-left: 4px solid #C0C0C0; flex: 1 1 300px;\"\u003e\n\u003ch3\u003e🏅 Athlete Analytics\u003c/h3\u003e\n\u003cul\u003e\n\u003cli\u003eTop performers by sport\u003c/li\u003e\n\u003cli\u003eAge/height/weight distributions\u003c/li\u003e\n\u003cli\u003eMedal-winning athletes\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/div\u003e\n\n\u003cdiv style=\"background: #f8f9fa; padding: 16px; border-radius: 8px; border-left: 4px solid #CD7F32; flex: 1 1 300px;\"\u003e\n\u003ch3\u003e🌍 Geospatial Insights\u003c/h3\u003e\n\u003cul\u003e\n\u003cli\u003eCountry performance maps\u003c/li\u003e\n\u003cli\u003eHost city analysis\u003c/li\u003e\n\u003cli\u003eMedal tally by region\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/div\u003e\n\n\u003c/div\u003e\n\n---\n\n## 📊 Dataset Overview\n\n| Metric               | Value                     |\n|----------------------|---------------------------|\n| Time Period          | 1896-2016                |\n| Athletes Recorded    | 271,116                  |\n| Countries Represented| 207                      |\n| Sports Covered       | 66                       |\n| Events Tracked       | 765                      |\n| Data Points          | 2.3M+                    |\n\n---\n\n## 🛠️ Tech Stack\n\n| Component          | Technology                |\n|--------------------|---------------------------|\n| Frontend           | Streamlit (1.28.0)        |\n| Visualization      | Plotly, Matplotlib        |\n| Data Processing    | Pandas, NumPy            |\n| Geospatial         | PyDeck, GeoPandas        |\n| Deployment         | Streamlit Community Cloud|\n\n---\n\n## 📸 Screenshots\n\n![image](https://github.com/user-attachments/assets/6c7b6204-8b2c-43bb-8ef8-28201c2e7730)\n\n**Interactive DashBoard**\n\n![image](https://github.com/user-attachments/assets/76e78dc2-472d-4d42-8537-d739c055aa9f)\n\n**Country Performance**\n\n![image](https://github.com/user-attachments/assets/21faabc1-4c30-4a0e-827d-15fdd16ddc55)\n\n**Overall Analysis**\n\u003c/div\u003e\n\n---\n\n## 🚀 Getting Started\n\n### Local Installation\n```bash\n# Clone repository\ngit clone https://github.com/yourusername/olympics-data-insights.git\n\n# Install dependencies\npip install -r requirements.txt\n\n# Run the app\nstreamlit run app.py\n```\n\n# Requirements\n```plaintext\nstreamlit==1.28.0\npandas==2.0.3\nplotly==5.15.0\npydeck==0.8.0\n```\n\n## 🤝 Contributing\n\n1. Fork the repository\n\n2. Create your feature branch:\n\n```bash\ngit checkout -b feature/your-feature\n```\n\n3. Commit changes:\n\n```bash\ngit commit -m \"Add new visualization\"\n```\n\n4. Push and open a Pull Request\n\n## 📞 Contact\nHave questions or suggestions?\n\n📧 [Email](nagarathnashenoy123@gmail.com)\n\n🔗 [LinkedIn](https://www.linkedin.com/in/nagarathna-shenoy-457751218).\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnagarathnatechie%2Folympics_data_analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnagarathnatechie%2Folympics_data_analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnagarathnatechie%2Folympics_data_analysis/lists"}