CodeByPinar/Spotify_Trends_2023_Analysis
Exploring Spotify's latest trends, top songs, genres, and artists using Python, Pandas, NumPy, Matplotlib, CNNs for image-based analysis, and advanced algorithms for music recommendation. Dive into the world of music data and discover what's trending on Spotify! 🎵📊
This project helps music analysts and marketers understand the latest trends on Spotify. It takes raw Spotify listening data, processes it, and then provides insights into popular genres, emerging artists, and user preferences through visualizations. Anyone working in music analytics, marketing, or A&R would find these insights valuable.
No commits in the last 6 months.
Use this if you need to analyze Spotify's 2023 music trends, identify popular genres, or discover emerging artists based on user listening data.
Not ideal if you need real-time Spotify trend analysis or want to analyze data from years other than 2023.
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Language
Jupyter Notebook
License
MIT
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Last pushed
Dec 13, 2023
Commits (30d)
0
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