This dashboard presents an in-depth analysis of the YouTube songs dataset, focusing on a specific local market. It addresses three key questions:
1. Understanding the performance of YouTube songs
2. Deriving actionable insights from the variation of user engagement metrics over time
3. Identifying popular songs and their correlation with view counts.
Trend and Customer behaviour
There is a high correlation between the counts of views, likes and comments and the video publish time
The stable number of videos published and the decreasing view counts suggest that the videos are reaching fewer people, possibly due to changes in audience interests or platforms.
There is a increasing engagement reate and like-to-view ratio, but decreased views counts, imply that the content quality has improved, attracting more ineractions from viewers.
More frequently used tags tend to be associated with videos that have higher view counts.
Further analysis is required, focusing on videos with high engagement rates and frequently used tags, to understand the factors contributing to such high videos performance.
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