Spotify Top Hits Analysis

As part of the Python course, my team and I analyzed the Spotify Top Hits dataset (2000-2019) from Kaggle to explore what makes a song popular 🎵🔝.

- Performed data cleaning and exploratory data analysis (EDA)
- Analyzed and visualized trends using Python and Tableau
- Designed and Built visualization to highlight patterns in song attributes such as tempo, danceability, and energy

This project aimed to integrate Python programming, data visualization techniques, and business decision-making to derive actionable insights from real-world data. By understanding the key factors that drive a track onto Spotify’s top hit list, we provided valuable insights for stakeholders such as Spotify, artists, producers, and music industry professionals.