I need to analyse a data set of around 30,000 properties listed or sold over 2 years
The main aim is to: Minimize risk and boost profit investments in a short-term market and a long-term strategy. What possible data mining models and solutions could be used to analyse this data and achieve the aim?
I was thinking possibly finding price correlations between house location, number of rooms, land size and price and finding the average price to then look for lower price options to invest.
The Data includes:
Number of Rooms. Price
Type of property
Distance: Distance from CBD in Kilometres.
Number of Properties that Exist in the Suburb.
Number of Rooms
Number of Bathrooms.
Number of Car Spots.
Land Size in Square Metres.
Building Size in Square Metres.
Year the House was Built.
Governing Council for the Area.
Latitude: Latitude of the Property.
Longitude: Longitude of the Property.