Music Streaming Habits of 4,000 Listeners Across Platforms and Genres

4,000 listeners provide data on their music streaming habits, including platform usage, genre preferences, and listening moods. The dataset likely contains behavioral metrics such as skip rates and total listening minutes. It was sourced from Kaggle, but its author, collection date, and specific time range are unknown.

Use Cases

• Predict listener churn based on skip rates and listening minutes mentioned in the description
• Recommend music genres or platforms based on listener mood data
• Analyze market share and user preferences across different streaming platforms

Strengths

• Data from 4,000 listeners provides a substantial sample size for analysis
• Includes multiple behavioral dimensions such as skip rates and listening minutes

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Last update date is unknown; freshness unverified

Provenance

Source

Kaggle