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.
On this page of the site you can watch the video online Python Data Analysis using Spotify Web API with a duration of hours minute second in good quality, which was uploaded by the user Mihir Yardi 18 May 2023, share the link with friends and acquaintances, this video has already been watched 2,017 times on youtube and it was liked by 56 viewers. Enjoy your viewing!
