Dataset: Top Songs By Country Charts Spotify - MAY 2020

About this Dataset

Top Songs By Country Charts Spotify - MAY 2020

About Dataset
Context
Spotify is one of the most popular music streaming services worldwide. One of the reason why it is loved by most is because of its amazing collection of playlists. It also gives an option to surf through Top 50 songs charts which are widely used by users. I extracted data from Spotify's website using Selenium and BeautifulSoup and tabulated the songs present in "Top 50 songs by Country" charts (62 countries).

Content
The dataset contains 10 columns :- I added 2 extra from a dataset that is available here in Kaggle

Country - Country name or "Global"
Continent - Continent name or "Global"
Rank - Rank of song on particular country chart
Title - Title of song
Artists - Artists involved in song
Collaboration - If there is a collaboration or not
Collaboration Type - Which type of collaboration
Album - Album name of song
Explicit - If song is explicit or not?
Duration - Duration of song

Acknowledgements
This dataset is extracted only for educational purposes with no intention to plagiarize. All rights go to the authors (Spotify).

Inspiration
This dataset can be helpful for the analysis of song preferences among different countries. Preferences include duration and likability for explicit content. It can also be used to track the influence of music originated from one country on others, or to check the popularity of a particular artist, etc.

Tables

Spotifytopsongsbycountry Updated May 2020

@kaggle.carloshewr_top_songs_by_country_charts_spotify_may_2020.spotifytopsongsbycountry_updated_may_2020

72.68 KB
3150 rows
10 columns


CREATE TABLE spotifytopsongsbycountry_updated_may_2020 (
  "country" VARCHAR,
  "continent" VARCHAR,
  "rank" BIGINT,
  "title" VARCHAR,
  "artists" VARCHAR,
  "collaboration" VARCHAR,
  "collaboration_type" VARCHAR,
  "album" VARCHAR,
  "explicit" BIGINT,
  "duration" VARCHAR
);