Scrapping: Data is scrapped by downloading the CSV file using Spotify top 200 daily API and converted to a Pandas data frame.
Are people listening to the very same top-ranking songs in countries far away from each other?ĭata Scrapping, Cleaning & Feature Engineering. Do countries share same top-ranking artists or songs. What are the signs of a song that gets into the top rank to stay. Duration songs “resist” on the top 3, 5, 10, 20 ranking. Using the information given in the database I predicted the rank position that a song will have in the future and expanded the analysis to learn factors such as: It has been collected from Spotify's regional chart data. The data spans from 1st January 2019 to 31st December 2019 and includes 7 columns. It contains 730,000 rows, which comprise 2574 artists, 8825 songs for a total count of eighty-eight billion stream counts. Dataĭataset contains the daily ranking of the 200 most listened songs in USA, UK, Mexico, Germany, Brazil, Canada, Australia, Netherlands, France and Sweden. In this analysis, using Spotify’s chart of 2019 I will highlight the common trends and use regression models to forecast the number of tracks streamed and their associated popularity. All throughout the last year, users have streamed countless hours of their favorite songs, artists, playlists, and podcasts. Spotify transformed music listening forever when it launched in Sweden in 2008 and became one of the most popular global audio streaming subscription service with 271m users, including 124m subscribers, across 79 markets. This work is an extension of the same by analyzing daily ranking of the 200 most listened songs by Spotify users in 10 countries that contribute most to Spotify’s bottom line here. The 200 daily most streamed songs in 10 countriesĪcknowledgment: This task is inspired by a project done by shared on Kaggle with the context of exploring how artists and song’s popularity varies overtime here. Spotify’s 2019 Worldwide Daily Song Rankings
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