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Discovering Music Patterns | Behind the Data

Identifying patterns within the music we love isn’t always easy. A song’s rhythm, chord progression, and lyrics are combined together in perfect harmony to create a sound that builds upon itself. But this can make it difficult for one to parse out individual patterns encoded within the music.

With access to the data behind the music, this process becomes easier.

Watch this webinar with Tableau Visionary Adam McCann to learn how visual analytics can bring to life the patterns encoded in music. You'll learn how to visualize lyrical structure, beats per minute (BPM), and chord progression data to unlock fascinating insights. Discover the insights hidden behind the data of the music we love.

This is part of the Data+Music Behind the Data webinar series.

À propos de l'intervenant


Adam McCann

Director of Analytics, KeyMe

Adam McCann is currently the Director of Analytics at KeyMe. He is a data scientist specializing in predictive analytics, data mining, and data visualization. On his blog DuelingData.com Adam posts on topics ranging from data art to data science all in Tableau. Mr. McCann also teaches an information visualization course at the Maryland Institute College of Art.

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