antoniokaram / music-and-happiness

Compare world music information to country happiness, GDP, Eduction, and Crime Rates from 2016 to 2022

Music & Happiness

Compare world music information from the Spotify API to country happiness, GDP, Eduction, and Crime Rates from 2016 to 2022. By: Varun Taneja and Antonio Karam

Overview

The project tracks Spotify user trends by country and links them to the happiness index, education levels, and GDP of the country. The data gives indications of the correlation between artist, genre, and socioeconomic standards and indicators across the world. It also shows the evolution of that correlation and those data points across the years.

We used the Spotify API and CSV files from the United Nations website. We chose this data because the Spotify API provided data for the location, number of plays, and the valence of the song. The valence was most important as it used the Beat, rhythm, timbre, and lyrics to calculate how happy or sad a song was. We chose to use this API as it gave us the most amount of data and as we already had Spotify accounts we already had the private keys required to query the API.

The other website we chose to use was the United Nations website as they had predetermined CSV files written for all of the social data statistics we wanted to use to compare our music data.