In this repository you can find all the different analysis I have been running on spotify data. So far I have:
- Playing arround: this is where I try out things without a serious purpose.
- Am I Basic?: A study of my listening trends.
- Artist Development: analyzing the properties of the albums of different artists.
- Pride Playlists: Exploring the properties of the playlists Spotify has created for Pride Month.
I am. A little. Not a lot. This correlation has an extremely low r value.
Proof:
I listen more to more popular songs and artists. It is not a perfect correlation, but it is there.
On the morning of June 7th 2022 I was looking at the home page of my spotify app, trying to decide on a series of jams to motivate me to work, when I was suggested this:
I was 50% annoyed at the fact that Spotify is also jumping on the commercialization of pride train, 50% intrigued at what properties must a song have to make it to one of these playlists, and what differences there are between them. Also, how do pride playlists created automatically by spotify compare to those made by users?
Here is what I found... (In progress)
This is what I want this project to be as I told Momo on whatsapp: "to compare the richness and diversity (ecological terms) of the user base playlists compared to those made by spotify to illustrate how trend setters based on algorithms maintain the status quo"