Spotify Optimal Musical Flow Playlist

Check out this app on Streamlit!

• Collected 100 tracks from "Top Songs 2020" playlist; each song's audio features, artist ids, and genre using Spotify's API; and exported to .csv to do feature analysis.
• Wrangled streaming history dataset and audio feature dataset using NumPy and Pandas.
• Explored over 7,000 rows of streaming history to see what days and what time of day I stream the most and to see how Spotify orders their "Top Songs 2020" playlist using Seaborn and Matplotlib.
• Analyzed audio features of "Top Songs 2020" to see distribution and correlation of each to subsequently apply to our criteria of reodering songs.
• Coded a Python script to automate curated songs from a .csv file into a Spotify playlist.
• Presented analytical findings on a dashboard using Tableau.

This Project's Github Respository Which Includes a Dashboard

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