Youtube API

Data from Webscraping

You can see some of the output from the code here:

Some charts of the analysis of the channel are below:

There are two broad conclusions from the data. Firstly, as expected, videos with more views get more likes and comments. Additionally, the majority of videos have low videos, likes, and comment values, with only a few having high numbers of all. This is also consistent with the expected idea that most videos are not viral.

Because of the restrictions on queries, I could not use comment data thoroughly. However, if the comment data were compiled into a corpus for analysis, it could be used for textual analysis.