In this project, we perform Exploratory Data Analysis on Spotify Music Metadata.
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Firsly, the dataset characteristics is noted.
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Then, using matplotlib and seaborn, we plot charts and graphs for visualization to identify trends.
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Relationships, trends and correlation is studied, with respect to various factors of Music tracks that determine the popularity of a song.
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We not only consider individual factors but also various factors that have combined effect of the popularity on the song.
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Some of the determining features were, length of the track, genre, loudness factor, danceability and instrumental types.
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This reveals many interesting findings on listening patterns and success of a song/track in the industry.