This data was taken from the kaggle site, and was kindly cleaned by Tony Pino.
The data was released under the license CC BY-NC-SA 4.0, and is redistributed here.
The below contains a slightly modified description of the data from the website
Melbourne is currently experiencing a housing bubble (some experts say it may burst soon). Maybe someone can find a trend or give a prediction? Which suburbs are the best to buy in? Which ones are value for money? Where’s the expensive side of town? And more importantly where should I buy a 2 bedroom unit?
This data was scraped from publicly available results posted every week from Domain.com.au, I’ve cleaned it as best I can, now it’s up to you to make data analysis magic. The dataset includes Address, Type of Real estate, Suburb, Method of Selling, Rooms, Price, Real Estate Agent, Date of Sale and distance from C.B.D.
Data was obtained from the Kaggle site and exact addresses were removed
for privacy. The data was saved to the data-raw/ directory.
Metadata for the site was created using
dataspice
| fileName | variableName | description | unitText |
|---|---|---|---|
| housing.csv | suburb | Suburb | text |
| housing.csv | rooms | number of Rooms | integer |
| housing.csv | type | Type of house | text |
| housing.csv | price | Price in dollars | integer |
| housing.csv | method | How the property was sold. S - property sold; SP - property sold prior; PI - property passed in; PN - sold prior not disclosed; SN - sold not disclosed; NB - no bid; VB - vendor bid; W - withdrawn prior to auction; SA - sold after auction; SS - sold after auction price not disclosed. N/A - price or highest bid not available. | text |
| housing.csv | seller_g | Real Estate Agent | text |
| housing.csv | date | Date Sold | Date |
| housing.csv | distance | Distance from CBD | number |
| housing.csv | postcode | Postcode of the property | integer |
| housing.csv | bedroom2 | Number of Bedrooms | integer |
| housing.csv | bathroom | Number of Bathrooms | integer |
| housing.csv | car | Number of carspaces | integer |
| housing.csv | landsize | Landsize | number |
| housing.csv | building_area | Building Size | number |
| housing.csv | year_built | Year the house was built | Date |
| housing.csv | council_area | Governing council for the area | text |
| housing.csv | latitude | Latitude | number |
| housing.csv | longitude | Longitude | number |
| housing.csv | region_name | General Region (West, North West, North, North east …etc) | text |
| housing.csv | property_count | Number of properties that exist in the suburb. | number |
| housing.csv | yr_qtr | Quarter of the year (Jan - March = Q1, etc) | text |
Accessed on the 30th April, 2018