Demo

Background

This project originates from the course DH2321 Information Visualization at KTH Royal Institute of Technology. The course set out to teach students about the theoretical and practical aspects of Information Visualization.

The group project Viral50 aims to enable artists, content creators, and music enthusiasts to visualize and gain insight into modern music trends. The visualized data in the Viral50 project are the top 50 songs for each week and country from Spotify's viral playlists.

A viral song is a song that has a very high amount of social media shares, song plays, and other web exposure in a short period. Since viral playlists vary a lot between countries, we decided it would be fun and exciting to visualize how song attributes differed between countries at the same point in time.

The attributes visualized are aggregated by Spotify and constits of a song's core elements. An example is the "Danceability" attribute which consists of the elements tempo, rythm stability, beath streangth and regularity.

Learning Objectives

We have created an interactive tool that can significantly assist in gaining insights into viral music trends. The tool features an overview of a specific attribute by the use of a world map. We believe that the world map was a great choice since it helps to get an understanding of viral music trends and if they are based on geographic locations.

The detailed view enables users to compare specific countries and songs with scatter plots and bar diagrams, which fit great when the number of elements compared is small.

Even though the Mercator map projection squishes Africa, the second largest continent in the world, we decided to go with it since we, unfortunately, did not have any data from Africa.

During the project, we have been faced with three 15 minutes presentations. It has been challenging but also fun to create, rehearse, and present these with high quality.

Team