Baselight

The Cure Discography

Metrics and audio features

@kaggle.xvivancos_the_cure_discography

About this Dataset

The Cure Discography

Context

The Cure is one of my favourites groups, that's why I decided to analyze their discography.

Content

Popularity and audio features for every song and album:

  • track_popularity. The value will be between 0 and 100, with 100 being the most popular.

  • duration_ms. The duration of the track in milliseconds.

  • valence. A measure from 0.0 to 1.0 describing the musical positiveness conveyed by a track.

  • danceability. Danceability describes how suitable a track is for dancing based on a combination of musical elements including tempo, rhythm stability, beat strength, and overall regularity.A value of 0.0 is least danceable and 1.0 is most danceable.

  • energy. Represents a perceptual measure of intensity and activity (from 0.0 to 1.0).

  • acousticness. A confidence measure from 0.0 to 1.0 of whether the track is acoustic.

  • loudness. The overall loudness of a track in decibels (typical range between -60 and 0 db).

  • speechiness. Speechiness detects the presence of spoken words in a track. The more exclusively speech-like the recording, the closer to 1.0 the attribute value.

  • instrumentalness. Predicts whether a track contains no vocals.The closer the instrumentalness value is to 1.0, the greater likelihood the track contains no vocal content.

  • liveness. Detects the presence of an audience in the recording. A value above 0.8 provides strong likelihood that the track is live.

  • key_mode. The key the track is in.

If you want more information about the metrics, please check here

Acknowledgements

I used the function get_artist_audio_features() from the spotifyr package, in order to retrieve the popularity and audio features for every song and album for a given artist on Spotify.

If you want more information about this package, please check here.

Inspiration

  • Exploratory Data Analysis
  • Data Visualization

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