Most of the time, music videos published dates are same as music themselves.

It would be valid to use the dates as release dates.

There are no other sources better than youtube to cover as much songs as possible. Music streaming is ubiquitous. Currently, Spotify plays an important part on that. This dataset enable us to explore how artists and songs' popularity varies in time.

This dataset contains the daily ranking of the 200 most listened songs in 53 countries from 2017 and 2018 by Spotify users. It contains more than 2 million rows, which comprises 6629 artists, 18598 songs for a total count of one hundred five billion streams count.

The data spans from 1st January 2017 to 9th January 2018 and will be kept up-to-date on following versions. It has been collected from Spotify's regional chart data. Inspiration

Can you predict what is the rank position or the number of streams a song will have in the future? How long does songs "resist" on the top 3, 5, 10, 20 ranking? What are the signs of a song that gets into the top rank to stay? Do continents share same top ranking artists or songs? Are people listening to the very same top ranking songs on countries far away from each other? How long time does a top ranking song takes to get into the ranking of neighbor countries? 

To start out, you can take a look into a simple Kernel I have made in order to read the data, filter data from a song, plot is temporal tendency per country than make a simple forecast of the its streams count here.