🎹What is the 'recipe' for winning tracks?🤔
We sometimes wonder what makes a track successful these days?
With this question in mind, I gathered various information and audio features – danceability, speechiness or liveness – of the top tracks in the last 5 years.
Audio Features:
Mood: Danceability, Valence, Energy, Tempo
Properties: Loudness, Speechiness, Instrumentalness
Context: Liveness, Acousticness
Column Description:
- track_uri: track's unique resource indicator code on Spotify
- track: track name
- artist: the artist name who performed the track
- artist_popularity: the artist's popularity is given a value between 0 and 100, with 100 being the most popular
- followers: the total number of followers who follow the artist's Spotify page
- artist_genre: the genre in which the artist belongs
- track_popularity: the track's popularity is given a value between 0 and 100, with 100 being the most popular
- album: album name
- year: year
- danceability: how suitable the song is for dancing
- valence: a value from 0.0 to 1.0 describing the positiveness with higher valence indicates happy, cheerful, euphoric mood
- energy: a perceptual measure of intensity and activity
- tempo: the overall estimated tempo of a track in beats per minute (BPM)
- loudness: the overall loudness of a track in decibels (dB), ranging between -60 and 0 db.
- speechiness: the higher the value, the more spoken words the song contains
- instrumentalness: the higher the value, the song contains fewer spoken word vocals
- liveness: the probability that the song was recorded with a live audience
- acousticness: a measure from 0.0 to 1.0 of whether the track is acoustic
In-depth explanation about the audio features could be found here
Data Collection:
You can find the data collection process in the public notebook section, here.
Usage:
Discussed the usage of this dataset with fellow Kagglers, and their suggestions could be found here.
Acknowledgement
image credits: istockphoto