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How to use clustering to understand a city and make suggestions on where to go for food / coffee / amusement etc.

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mbsuraj/Clustering_Neighborhoods_Using_FoursquareAPI

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Battle of Neighborhoods - IBM Capstone

Introduction/Business Problem:

An internet service company based out of Phoenix is looking to expand its market share in the City. The company was providing services to 2 kinds of customers - individual customers and families; and small and medium size businesses. It was found out that the profit earned from small-size business such as restaurants, Fast Food chains was quite high; however,the company's market share of such customers was quite low (about 5%). From market research the root cause for such a small market share was due to the customers not aware of the company and it's services. Now, the internet service company aims to identify and target all the fast food and restaurant businesses using Foursquare API.

Code

refer to Neighborhood_of_Phoenix.ipynb rest of the code is just exploratory.

Data:

  1. Phoenix zip codes were scraped out from google search below: https://www.google.com/search q=phoenix+zip+codes&rlz=1C1CHZL_enIN746IN746&oq=phoenix+zip+codes&aqs=chrome..69i57j0l7.3844j1j4&sourceid=chrome&ie=UTF-8
  2. The zip code data exported from the above link is also uploaded in the link below: https://github.com/mbsuraj/Clustering_Neighborhoods_Using_FoursquareAPI/blob/master/Phoenix_Zip.csv

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How to use clustering to understand a city and make suggestions on where to go for food / coffee / amusement etc.

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