Cafes in New York City Navigation Through Website
Project GitHub | LinkedIn: Niki Moritz Hao-Wei Matthew Oren
The skills we demoed here can be learned through taking Data Science with Machine Learning bootcamp with NYC Data Science Academy.
Roast coffee becomes a trend in New York cafes. Last year, I interviewed the New York Coffee Festival and found they have a website collecting all the information of New York Roast Cafes. So this time, I decided to collect information on these cafes in new York city and build analysis on it.
These are questions I want to figure out:
- How do the craft roasty cafes name themselves?
- What are the brewing methods they use most frequently?
- What is the normal opening hours on workdays and weekends?
- How is the geographical distribution like?
Data Preparation
I have scraped the information on 202 cafes in new York area. The information types I scraped are: Name, Address, ZIP Code, Coffee Price, Opening Time, Brewing Method.
2. Analysis
- Name: I have built one word cloud to see different types
From this graph, we can see that the types of names are: Location, Person Name, Food, Funny Combination, Animal, Size. And I made one visualization based on that.
2. I created bar chart to see the frequency of brewing method.
3. Then i made a map to show the concentration of cafes in different area with zip codes listed.
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