Find Trends in Changes to Real Estate Values in Toronto

Project Description

We sell real estate, specifically residential houses and apartments. We have access to data of 95% of all real estate transactions. Including Addresses, number of bedrooms, etc. We would like to mine this data and in conjunction with other data (such as demographic, employment, income growth, proximity to certain amenities, zoning changes, school districts, walkscore, nearby developments) to determine what are the biggest determing factors for real estate price change. 

Goals for this project

Minimum (content for article writing)

1. supply valuable content to educate buyers and sellers in the Toronto real estate market,

2. cite interesting case studies on valuation changes

Target (web application)

3. make predictions on which is the best neighbourhood to be in based on a psychographic profile. 

Outrageous (advisory service)

4. make predictions on which streets people are most likely going to demand or streets that have a high likelihood of thinking of selling their home

Datasources

* Demographic info http://www1.toronto.ca/wps/portal/contentonly?vgnextoid=2394fe17e5648410VgnVCM10000071d60f89RCRD

* data on housing sales (location, price, housing type, bedrooms, baths, land size, dates) can be exported with a csv file

* addresses of homes where building permits where applied for in a .csv format

* Current zoning http://map.toronto.ca/maps/map.jsp?app=ZBL_CONSULT

* Walkscore