An interactive Spotify Analytics Dashboard built using Power BI to explore songs, artists, popularity trends, and album insights. This dashboard provides a clean UI inspired by Spotify with deep analytical insights for music data exploration.
Landing page with Spotify-themed UI and navigation to all report pages.
- Total Distinct Songs
- Count of Artists
- Average Duration
- Average Popularity
- Songs by Album Type
- Explicit vs Non-Explicit Distribution
- Avg Popularity by Month
- Distinct Songs by Month
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Artist by Songs
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Songs by Popularity
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Songs by Hit
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Artist-level metrics:
- Avg Duration
- Avg Popularity
- Max / Min Popularity
- Hit Ratio
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Song by Artist filter
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Songs by Popularity
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High Popularity Songs
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Song level table with:
- Release Date
- Album Type
- Avg Duration
- Popularity Metrics
✅ Spotify-style UI design ✅ Interactive filters and slicers ✅ Artist-level analytics ✅ Song-level insights ✅ Popularity trend analysis ✅ Album type comparison ✅ Explicit vs Non-explicit analysis ✅ Monthly trend visualization ✅ Clean and modern dark theme
- Microsoft Power BI
- Power Query
- DAX Measures
- Data Modeling
- Custom Visual Formatting
The dataset includes:
- Song Name
- Artist
- Album Type
- Release Date
- Duration
- Popularity
- Explicit Flag
- Track Metrics
- Most songs are released as Albums vs Singles
- Popularity varies significantly by Artist
- Monthly trend shows declining average popularity over time
- Few artists dominate high popularity hits
- Explicit tracks form a significant portion of total songs
- Practice Power BI dashboard design
- Apply DAX measures
- Build interactive report navigation
- Create Spotify-themed UI
- Analyze music dataset
- Home
- Overview
- Artists
- Songs
- Download
.pbixfile - Open in Power BI Desktop
- Use navigation buttons
- Apply filters
- Explore insights
Prince Gupta First Power BI Project – Spotify Dashboard
Give it a ⭐ on GitHub and feel free to fork!