Consider an online video-sharing platform like YouTube which hosts tens of thousands of channels and crores of users.
You have to analyse the data and provide meaningful insights on the type of content that drives engagement, users growth, and many more to all the stakeholders. Let’s roll our sleeves up for an insightful analysis!
The sample database consists of tables that store the information of users, channels, videos, genres and likes/dislikes.
Note:
channel_iduser_idsubscribed_datetime10012020-12-10 10:30:4510072020-10-10 11:30:45.........
channel_usertable stores the data of the channel_ids and their subscribers' user_ids.First row in the table represents that the user with user_id = 1 is subscribed to the channel with channel_id = 100 at
user_idvideo_idreaction_typereacted_at110LIKE2020-12-10 10:30:45710DISLIKE2020-10-10 11:30:45............
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