This interactive dashboard visualizes YouTube video trends across categories over time. Using data on views, likes, comments, and publishing dates, it explores: Engagement Ratios: Likes vs Comments per 1k views Category Trends: Total comments by category over the years Content Attributes: Average title length by category and year Built with R, Flexdashboard, Plotly, and dplyr, this project offers an interactive way to explore content performance and viewer engagement patterns.