Youtube Analysis

This project performs detailed analytics on a YouTube dataset using Python. It focuses on understanding video performance and user engagement through data analysis and visualization.

Analyze YouTube video data to uncover:

• Top-performing videos by views, likes, and watch time
• Engagement metrics like like/dislike ratios, comment rates
• Publishing trends over time
• Channel-level performance insights
• Correlation between video length, tags, and performance

• Format: CSV (YouTube Studio export or mock data)
• Sample columns:
  • Video Title
  • Published Date
  • Views
  • Likes
  • Dislikes
  • Comments
  • Watch Time (Hours)
  • Subscribers Gained
  • Video Length
  • Tags

• Python 3.x
• Pandas – data wrangling
• NumPy – numerical operations
• Matplotlib & Seaborn – data visualization

• Video-level statistics summary
• Publish day/time analysis
• Engagement ratio charts
• Keyword/tag usage heatmaps
• Correlation matrix between all metrics
• Visualized trends for growth and reach

(Insert line charts, bar plots, heatmaps, etc.)

git clone https://github.com/your-username/youtube-engagement-analytics.git
cd youtube-engagement-analytics