Document Type

Poster

Publication Date

Fall 2020

Abstract

In this project, I used Python to analyze trends in foreign music in four different countries around the world: the United States, the United Kingdom, France and Brazil. Using various top singles charts, I was able to create a dataset of foreign singers for each country spanning the decades from the 1950s/60s to present day. After cleaning, filtering and processing this data, I applied historical events to analyze trends in the data and found a notable decrease in music produced by international artists in recent years. This contradicts the prevailing notions of globalization, forcing us to ask the question: Is our society really as cosmopolitan and open-minded as we’d like to think?

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

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