Dataset: Top Spotify Songs In 73 Countries (Daily Updated)

About this Dataset

Top Spotify Songs In 73 Countries (Daily Updated)

This dataset presents the top songs currently trending for over 70 countries.

Top 50 songs for each country is updated daily to provide the most up-to-date information on the popularity of songs in the world.

If you find this dataset helpful, don't forget to leave a upvote ❤️🎧

Interesting Task Ideas:

Identify the most popular genres of music in different countries over time.
Analyze the change in rankings of songs over time to identify trends and patterns.
Investigate whether there is a correlation between song popularity and its danceability or energy level.
Explore the relationship between the explicitness of songs and their popularity.
Analyze the relationship between song features (such as acousticness or instrumentalness) and their popularity.
Predict the future popularity of songs based on historical data and machine learning algorithms.
Compare the top songs in different countries to identify cultural music preferences.

NOTES

Data may be missing / incomplete from 2024-11-27 to 2024-12-09 due to Spotify API changes.

Tables

Universal Top Spotify Songs

@kaggle.asaniczka_top_spotify_songs_in_73_countries_daily_updated.universal_top_spotify_songs

54.02 MB
2074316 rows
25 columns


CREATE TABLE universal_top_spotify_songs (
  "spotify_id" VARCHAR,
  "name" VARCHAR,
  "artists" VARCHAR,
  "daily_rank" BIGINT,
  "daily_movement" BIGINT,
  "weekly_movement" BIGINT,
  "country" VARCHAR,
  "snapshot_date" TIMESTAMP,
  "popularity" BIGINT,
  "is_explicit" BOOLEAN,
  "duration_ms" BIGINT,
  "album_name" VARCHAR,
  "album_release_date" TIMESTAMP,
  "danceability" DOUBLE,
  "energy" DOUBLE,
  "key" BIGINT,
  "loudness" DOUBLE,
  "mode" BIGINT,
  "speechiness" DOUBLE,
  "acousticness" DOUBLE,
  "instrumentalness" DOUBLE,
  "liveness" DOUBLE,
  "valence" DOUBLE,
  "tempo" DOUBLE,
  "time_signature" BIGINT
);