yundk7 / area_lookup_heroku

Using Zillow database and google API, plots nearby places of user input center location. Utilizing data obtained, finds relationship between real estate values and local amenities with multi-variable linear regression.

Area Lookup

| http://dq-27.herokuapp.com/us_places

"How much impact would McDonalds, Starbucks have on real estate values?"

In addition to project for finding optimal area to live in terms of price and local amenties,

I attempted to go in depth in relationship between the price of real estate and its nearby places.

• Utilizing database from: Zillow and Google GEO API,
• Webscraping crime data from : https://www.bestplaces.net/crime/
• and population density of zipcodes from : http://zipatlas.com/us/zip-code-comparison/population-density.1.htm
• Then displays the relationship between real estate values and local amenities.
• Below is example of inputs: (For more Pre-gathered results of major cities (http://dq-27.herokuapp.com/us_places/demo))

Tools: Python, Flask, Pandas, statsmodel (linear regression)