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Olympic Data Analysis Project

This project analyzes Olympic data, focusing on medal tallies, athlete performance, and data organization to enhance understanding of Olympic statistics.

Highlights

🌍 Welcome

• Overview: Introduction to Olympic Insights.
• Content:
  • Overview of 120 years of Olympic history.
  • Visual: Olympic-themed image.

🥇 Medal Tally

• Overview: Focus on medal counts by year and country.
• Options:
  • Select Year: View specific year or overall stats.
  • Select Country: Filter by country.
• Content:
  • Medal tally based on selected filters.

📊 Overall Analysis

• Overview: In-depth Olympic data analysis.
• Options:
  • Top Statistics: Editions, cities, sports, events, athletes, nations.
• Content:
  • Trends Over Time: Nations, events, athletes.
  • Sport-Specific Trends: Event heatmap by sport.
  • Top Athletes: Most successful athletes by sport.

🌎 Country-wise Analysis

• Overview: Performance analysis of individual countries.
• Options:
  • Select Country: Analyze Olympic performance.
• Content:
  • Medal Tally Over Time: Country’s medal tally.
  • Sport-Specific Success: Heatmap by sport.
  • Top Athletes: Top 10 athletes by country.

🏅 Athlete-wise Analysis

• Overview: Detailed athlete performance analysis.
• Options:
  • Age Distribution: By medal type.
  • Sport Selection: Age distribution for gold medalists.
  • Height vs Weight: Physical characteristics by sport.
• Content:
  • Men vs Women Participation: Gender participation trends.

Technologies Used

• Python: Core programming language for data processing and app development.
• Streamlit: Framework for creating the interactive web application.
• Pandas: Data manipulation and analysis.
• Plotly: Interactive data visualization.
• Seaborn: Statistical data visualization.
• Render: Deployment platform for hosting the app.