Python Data Analysis using Spotify Web API

Our project is a song popularity analysis on Spotify. We aim to investigate the factors that contribute to the popularity of songs on the platform, and how these factors may differ across genres, artists, and time periods.
To do this, we will be looking at songs across 50 different genres such as - Hip-Hop, Rock, Pop, Blues, Soul, Romance & K-Pop to name a few. We look to extract about 50 songs from each of the genres by setting a base-level popularity score (20) and analyze the features such as -
1. Danceability
2. Energy
3. Key
4. Loudness
5. Mode
6. Speechiness
7. Acousticness
8. Instrumentalness
9. Liveness
10. Valence
The Spotify Web API allows access to these features of a track that we aim to study via the documentation available.
Through our analysis, we hope to gain insights into what makes a song popular on Spotify and how these trends may evolve over time. This information can be valuable for artists, music labels, and music marketers who are looking to better understand the preferences of Spotify listeners and create music that resonates with their target audience.