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