Project by Daisy Doyle all credit goes to her. I'm just helping out w/ the python stuff 😎
A data driven exploration into how distance from town centres affects coffee prices.
Fun data features:
- How many Yelp / Google reviews
- https://github.com/m-wrzr/populartimes
- Combined social media followers (use sherlock to find entire social media presence)
- Postcode
- Type of coffee [pub, restaurant, coffee shop]
- Can maybe scrape with this tool https://github.com/karlicoss/scrapyroo I love the idea of finding prices of housing I was also considering coffee bean prices and where they came from Also see how take away compares to eating in I also wanted to look at how recession has affected the businesses I looked at originally as well as seeing a new scene of Hitchin cus so many coffee shops go under its so hipster here drives me mad
- If I was to open up a coffee shop on location X, how much should I charge for coffee?
- - Scrape coffee prices, build the data set
- Scrape for all amenities and compare, although Black coffee is universal like the Economist's Big Mac Index