Open devvspaces opened 1 year ago
Oh hi there! Thank you so much for your interest in my analysis though I think I have a lot more to improve on. It made me really happy.
Of course, I would be really happy to connect with you on socials. We can connect via LinkedIn and the Guild forum of IEUK2023!
To answer your question, the dataset's source is from Kaggle but it doesn't explain in detail what Boost Index is. However, I suppose that it could potentially be used to determine the level of promotion a video receives, such as its placement in recommendation sections, suggested videos, or search results. In my opinion, such a metric could be calculated based on various factors, including engagement metrics (views, likes, comments, shares), watch time, audience retention, click-through rates, categories or even external factors like social media sharing and off-platform interactions. That's why I investigated the relationships of Boost Index with video categories in the first place (instead of the engagement metrics as they are really highly correlated which could result in multicollinearity and affect the results.)
Hi, I saw your message at IEUK 23 and decided to connect. This is a really profound analysis of youtube videos, It's visual and informative. I would love it if we could connect on socials. Also, what is the Boost index?