Context

Name: Top 50 Spotify Tracks- 2020
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

Top 50 most streamed tracks on Spotify in 2020. This dataset has various variables regarding these songs.

Content

50 songs
16 variables

Numerical Variables

energy (Ranges from 0 to 1)
danceability (Ranges from 0 to 1)
instrumentalness (Ranges from 0 to 1)
valence (Ranges from 0 to 1)
acousticness (Ranges from 0 to 1)
duration_ms( Generally has a range of 200k-400k)
liveness (Ranges from 0 to 1)
speechiness (Ranges from 0 to 1)
tempo
loudness

Categorical Variables

artist
track_name
key
genre
album

Inspiration

Which genres are most popular?
In 2020, which features of these fifty tracks made them hit songs?

Tables

Spotifytoptracks

@kaggle.atillacolak_top_50_spotify_tracks_2020.spotifytoptracks

19.95 kB
50 rows
17 columns

CREATE TABLE spotifytoptracks (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "artist" VARCHAR,
  "album" VARCHAR,
  "track_name" VARCHAR,
  "track_id" VARCHAR,
  "energy" DOUBLE,
  "danceability" DOUBLE,
  "key" BIGINT,
  "loudness" DOUBLE,
  "acousticness" DOUBLE,
  "speechiness" DOUBLE,
  "instrumentalness" DOUBLE,
  "liveness" DOUBLE,
  "valence" DOUBLE,
  "tempo" DOUBLE,
  "duration_ms" BIGINT,
  "genre" VARCHAR
);