The project mapped the locations of Starbucks and compared them to cafe locations where the keyword ‘hipster’ appeared in Foursquare reviews in 5 cities (New York, San Francisco, Seattle, London and Singapore). This idea came from the observation that Starbucks are usually not located in ‘hipster’ neighbourhoods.
But what makes a cafe a hipster location? We accessed reviews from Foursquare API and got the geo-locations of the cafes. The heatmaps show indeed that cafes that are rated hip tend to be off the mainstream locations where Starbucks coffeeshops are settled.
The website shows the power of visualisation of geo-referenced data without larger explanation of statistical details. The visitors can make their own image and interpretation of the data set.
I worked on the concept development, frontend coding using HTML/CSS, Javascript and Mapbox API, and graphic and UI design.
Try and explore it from here!
When I just moved to Singapore from Tokyo, I realised Starbucks is everywhere. But one day I walked around Tiong Bahru which is famous as a 'hipster neighbourhood', I only found unique cafes, but no Starbucks. I like the hood and wanted to know similar neighbourhoods where some unique cafes/shops locate.
Then I came up with the idea to visualise the locations of hipster cafes and Starbucks, and see the correlation between them.