Spotify visual analytics

Understanding the spotify data

This is a visual analysis page dedicated to Spotify. It is based on the dataset hosted on Kaggle and previously explored using Python and Pandas in Jupyter notebooks. It contains more than 175.000 songs collected from Spotify Web API.

popularity - The popularity of the track. The value will be between 0 and 100, with 100 being the most popular. The popularity is calculated by algorithm and is based, in the most part, on the total number of plays the track has had and how recent those plays are. Generally speaking, songs that are being played a lot now will have a higher popularity than songs that were played a lot in the past. Artist and album popularity is derived mathematically from track popularity. Note that the popularity value may lag actual popularity by a few days: the value is not updated in real time.

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loudness - The overall loudness of a track in decibels (dB). Loudness values are averaged across the entire track and are useful for comparing relative loudness of tracks. Loudness is the quality of a sound that is the primary psychological correlate of physical strength (amplitude). Values typical range between -60 and 0 db. The distribution of values for this feature look like this: Loudness distribution

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