Case Studies
Data for a Deeper Understanding
By aggregating historical and current data from Billboard, Spotify, Shazam, Apple Music, and iTunes, and more, MusicID is an all-in-one platform that has revolutionized music research. We are often asked how the data of our platform can be used. The case studies below illustrate only some of the endless applications.
MusicID is much more than raw sets of numbers. Read a few of our short case studies and learn how MusicID's built-in visualisation tools help researchers to make startling insights quickly and easily, with only a few clicks.
New studies
- Variance of the Life Cycle of # 1 Singles on the Billboard Hot 100 Chart from the 1960s to 2010s.
- See the exact week hip-hop broke into the mainstream.
- The Beatles vs. Musicals: What was even bigger than Beatlemania?
- In 2007 Radiohead parted ways with their record label, EMI. The label had agreed to be purchased by private equity firm Terra Firma that same year. Subsequently, the band self-released their following album In Rainbows on a direct to consumer, pay-what-you-want model via download on their website.
Using MusicID, you can easily find the answers to such questions as:
Who actually won the Blur/Oasis rivalry?
What was the immediate impact of Mumford and Sons’ 2013 Grammy win on their overall sales?
Where were Ace of Base’s “The Sign” and the Scorpions’ “Wind of Change” most popular?
When did disco’s mainstream American success really end?
How did the success of David Bowie’s The Next Day compare to that of his Berlin trilogy?
How did Nirvana fare against Michael Jackson?
See what was not visible before MusicID’s groundbreaking platform revealed the full story!
Exciting Work Already Being Done Using MusicID
Passing the Beat: Crossover Artists in the U.S., U.K., and Japan
Steven Braun, Data Analytics and Visualization Specialist at Northeastern University, used data from MusicID to create a visual representation of the crossover success of American, British, and Japanese artists on their respective singles charts.
The Geography of Pop Music Superstars
Dr. Richard Florida, University of Toronto Professor and Senior Editor at The Atlantic, and Patrick Adler, a Ph.D. student at UCLA, used data provided by Music ID to identify the 50 top-selling artists between 1950 to 2014. They then used this information to create a locational database in order to determine which cities produced pop’s biggest hit-makers.
Evolutionary History of 50 years of Music Charts Using Big Data Analysis
Our partners at Queen Mary University of London have brought together evolutionary biologists and computer scientists to study the evolution of pop music using data from Music ID.