View Jupyter notebook on NBViewer- https://nbviewer.org/github/Rohit2350/YTAPI-Analysis/blob/main/Youtube%20Analysis.ipynb
- -Analyzed video data from 9 popular Data Science/Analytics YouTube channels.
- -Investigated correlations between video performance (views, likes, comments) and engagement metrics.
- -Higher likes and comments correlate with more views; likes serve as a stronger engagement indicator.
- -Most-viewed videos have titles with 30-70 characters and include 5-30 tags.
- -Mondays and Fridays are the most popular days for video uploads, while Sundays are less favored.
- -Comment sentiment is generally positive, with potential market gaps in requested content.
- -Future Research: Further analysis of comment sentiment, video thumbnails, posting times, and causal relationships in video engagement.