Exploratory Analysis Of Spotify Data
Spotify, one of the world’s leading music streaming platforms, offers a wealth of data that provides valuable insights into listener behavior, track attributes, and artist popularity. This exploratory analysis aims to uncover patterns and relationships within Spotify's dataset, offering a deeper understanding of how various factors influence streams and popularity.
By exploring these and other trends, this analysis provides a comprehensive look at the elements that contribute to a track's success on Spotify. The findings can benefit artists, producers, and industry stakeholders aiming to better understand and navigate the dynamics of the music streaming landscape.
Overall Insights
Track success is driven by a combination of playlist placement, cross-platform exposure, and concise, memorable titles. While track attributes like energy and loudness define a song's style, their impact is secondary to visibility and promotion. Moderate-length songs (3-4 min) dominate the streaming landscape, reflecting their balance of structure and accessibility. Short-duration songs (< 3 min), though less common, remain significant for select artists, particularly when supported by effective promotion and playlist amplification. The interplay between song length, visibility, and platform strategy ultimately amplifies streams and determines performance.
Project by Chen Guanyu (1009606), Jessia Britto (1009698), Riya Khare (1009696)