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Characterising Spotify Audio Features of the Triple J Hottest 100 Songs

This post was originally published on The Data School blog between 2018 and July 2025, before our program was renamed to MIP’s Analytics Career Accelerator. References throughout this article to “The Data School” or “DS” all refer to what is now MIP’s Analytics Career Accelerator. The program, its people, and its commitment to launching outstanding analytics careers remain the same – just under a new name.

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Inspiration from the data school UK API and web scraping about audio features. With Australia Day approaching I thought it would be neat to analyse the audio features of the past Triple J hottest 100 songs.

If all goes to plan I am hoping to create a predictive model for the top 10/3 for 2019/20.

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