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{"ops":[{"insert":"Project Description"},{"attributes":{"header":2},"insert":"\n"},{"insert":"Consider an online video-sharing platform like YouTube which hosts tens of thousands of channels and crores of users.\nYou 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\u2019s roll our sleeves up for an insightful analysis!\nDatabase"},{"attributes":{"header":3},"insert":"\n"},{"insert":"The sample database consists of tables that store the information of users, channels, videos, genres and likes\/dislikes. \n"},{"attributes":{"bold":true},"insert":"Note:"},{"insert":"\nchannel_user table"},{"attributes":{"header":4},"insert":"\n"},{"insert":"channel_iduser_idsubscribed_datetime10012020-12-10 10:30:4510072020-10-10 11:30:45.........\nchannel_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\n2020-12-10 10:30:45user_likes table"},{"attributes":{"header":4},"insert":"\n"},{"insert":"user_idvideo_idreaction_typereacted_at110LIKE2020-12-10 10:30:45710DISLIKE2020-10-10 11:30:45............\n\n\n"}]}

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