Exploring Musical Success on Spotify with Python

A Python exploratory analysis of Spotify data examined song popularity through cleaning, visualization, genre analysis, and correlation study.

The project used tools like Pandas, NumPy, Matplotlib, and Jupyter Notebook on a Kaggle dataset.

It found relationships between musical traits such as danceability and energy and how popular songs are.

The work highlights how data analysis can reveal patterns in music popularity and strengthen core data science skills.