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SPOTIFY DATA
A dot-density plot visualizes global income inequality by clustering colored dots for each salary bracket, from under $5,000 to over $5 million, with the width and density of each cluster reflecting population size. The visualization uses matplotlib's `scatter` with jittered positions, a dark theme with high-contrast green dots, and a yellow dashed `axhline` marking the minimum wage threshold, accompanied by a German-language annotation. Data comes from hardcoded income category counts in a configuration file, with a Python script generating the plot via NumPy's random uniform distribution for jitter.
AI-generated descriptionSpotify Data Visualization
An interactive scatter plot visualization of Spotify music characteristics.
Features
- X-axis: Energy (0-1 scale)
- Y-axis: Danceability (0-1 scale)
- Color: Valence (mood/positivity) - from purple (low) to yellow (high)
- Size: Popularity - larger circles indicate more popular tracks
Interactions
- Click on any circle to see detailed track information
- Hover over circles to highlight them
- Click again to deselect
Data
The visualization loads a Spotify dataset containing various audio features for thousands of tracks.