An improvement of https://github.com/AO811/SpotifyEDA
A data-driven project designed to uncover insights into music consumption and user behavior using Spotify's dataset.
Analyze Spotify data to:
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Understand user preferences and behavior
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Identify trends in popular genres, artists, and songs
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Explore correlations between user demographics and music preferences
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Inform personalized recommendations and marketing strategies
Data Exploration: Comprehensive analysis of Spotify's dataset to extract actionable insights
Trend Analysis: Study music consumption patterns over time
User Segmentation: Correlate demographics with music preferences for tailored strategies
Visualization: Create intuitive visualizations to present findings effectively
This project highlights the potential of data analytics in the music industry, offering insights for improved user experiences and strategic decision-making.