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I built an interactive UK Playlist Intelligence Dashboard that transforms Spotify UK Top 50 playlist data into practical insights for artists, labels, and music marketing teams. The dashboard explores artist appearances, track popularity, collaborations, albums, explicit-content trends, and song-duration patterns to help users understand what performs well in the UK playlist ecosystem.
Users can filter the dataset by artist, album, date, popularity, and content type, then explore KPI summaries and interactive visualizations. The project also includes downloadable filtered CSV data and business-focused insights to support playlist strategy, release planning, and promotional decisions.
Technologies used: Python, Streamlit, Pandas, NumPy, Plotly, Matplotlib, Seaborn, NetworkX, Jupyter Notebook, and CSV data analysis.
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