Take part in this Summer Research Project ran by WDSS, building essential team-working experience and supercharging your CV with real-world experience. More details about the Summer Research Projects scheme can be found on our info website.

The final product will be published on WDSS's research blog.

A one-hit wonder is any entity that achieves mainstream popularity, often for only one piece of work, and becomes known among the general public solely for that momentary success. In this project you will use the publicly available data from Spotify to find artists in the music industry who can be regarded as one-hit wonders.

• Use the Spotify API to find which artists have the largest discrepancy between the listens of their most popular songs and other songs
• Create visualisations showing which bands are the most "one-hit" for each genre
• Use Spotify's features API to understand what characteristics a one-hit wonder typically has

Pop-culture expert

• Contribute to the project by sharing your knowledge about artists and their heritage
• Guide the development of the analysis
• Propose characteristics of a one-hit wonder
• Contribute to the relevant sections of the final write-up

Data Analyst

• Use R or Python to obtain relevant data using the Spotify API
• Perform data analysis and create insightful visualisations/li>
• Contribute to the relevant sections of the final write-up

• A passion for the project and, preferably, interdisciplinary data science in general
• Self-starting attitude with willingness to research and problem-solve independently
• Ability to work well in a team and clearly communicate your ideas
• Strong time-management and organisational skills.
• The role of data analyst requires at least basic coding experience in one of R or Python as well as basic understanding of data science

• Use the application button on this page to fill in the form where you should attach your CV and any other sources you think are relevant for the role (e.g. GitHub profile for a coding role) as well as answering two further questions in which you should demonstrate your motivation and suitbility for the project.
• Results to be announced by the end of term 3 (Saturday 3 July 2021)
• You can apply for more than one project