Technical Analysis of Nightclub Lineups Using Resident Advisor Data
By
kalli
The bagel they save for the regulars. Don't skim, savour.
Summary
The article describes a data analysis project called "Clubster Analysis" that examines nightclub lineups using Resident Advisor data. The author explains the technical process of gathering data from the RA website, cleaning and processing it, and creating visualizations to analyze trends in dance music lineups across popular clubs worldwide. The piece focuses on the methodology, challenges of web scraping, data transformation, and insights gained from visualizing the relationships between clubs, DJs, and music genres.
Key quotes
· 5 pulledMy favourite was an analysis of clubs and their lineups using Resident Advisor / RA data, I called it Clubster Analysis.
To visualize data, first you have to get it. In this case, the data is on the Resident Advisor website.
The goal was to get a list of clubs, and for each club, get a list of events and the DJs playing at those events.
The data is messy, as is often the case with scraped data. There are missing values, inconsistent formatting, and other issues that need to be cleaned up.
The visualizations help tell a story about the dance music scene, showing which clubs book similar DJs, which DJs play together frequently, and how genres are distributed across different venues.
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