This repository contains a comprehensive analysis of the top 1000 most popular YouTube videos globally.
The goal of this project is to understand trends in video categories, engagement metrics, and global audience preferences.
- Google Looker Studio β interactive dashboard visualization
- CSV Dataset β raw video data
- Optional: Python / Jupyter Notebook for future analysis
- π΅ Music category dominates ~60% of the top 1000 videos.
- π Entertainment / Comedy content has high engagement (likes/views balanced).
- π Most popular videos are uploaded by US-based channels.
- β³ Older videos (2018β2020) still dominate over newer uploads.
This dashboard helps visualize and explore global YouTube trends in an interactive way.
link dashboard: https://lookerstudio.google.com/reporting/9cf686df-3bfb-49df-8cec-e28011b818c5
This repository is created as part of my personal data analytics portfolio.
All datasets are used for educational and analytical purposes only.
Feel free to explore or reference the project with proper credit. π
Imammul arif
π Indonesia(dimana aja boleh)hehe
π LinkedIn | GitHub
