Project Overview: This project provides a comprehensive analysis of Spotify data to uncover factors influencing song popularity and artist rankings, offering insights for artists looking to optimize their reach.
Objectives:
Methodology: Using Spotify's API, Excel, and Tableau, data preprocessing and transformation were applied to create popularity bins, rank artists, and perform correlation analysis on song attributes like danceability and energy.
Key Findings:
Limitations and Recommendations: The lack of listener demographics limits understanding of popularity impact, suggesting artists focus on high-valence, danceable songs and experiment with longer durations.
Project Impact: Enhances understanding of Spotify’s ranking algorithms, supporting strategic decisions for artists and potentially helping Spotify improve its recommendation engine.
You can find the full project on my GitHub: GitHub Link