music playlist analysis

The project focuses on analyzing music playlist data to identify listening trends, popular artists, favorite genres, and song characteristics. The process includes collecting and cleaning the dataset, exploring features such as track popularity, duration, danceability, energy, and tempo, and performing exploratory data analysis (EDA) to discover patterns and relationships. Finally, data visualization techniques are used to present insights through charts and dashboards, helping users understand music preferences and improve playlist recommendations.