SydneyRealEstate {HRW} | R Documentation |
Sydney real estate
Description
The SydneyRealEstate
data frame has data on several variables concerning houses sold in Sydney, Australia,
during 2001.
Usage
data(SydneyRealEstate)
Format
This data frame contains the following columns:
logSalePrice
natural logarithm of sale price in Australian dollars.
lotSize
lot size in square meters but with some imputation.
longitude
degrees longitude of location of house.
latitude
degrees latitude of location of house.
saleDate
sale date in dd/mm/yyy format.
saleQtr
financial quarter in which sale took place.
infRate
inflation rate measure as a percentage.
postCode
four-digit post code of the suburb in which the house located.
crimeDensity
crime density measure for the suburb in which the house is located.
crimeRate
crime rate measure for the suburb in which the house is located.
income
average weekly income of the suburb in which the house is located.
distToBusStop
distance from house to the nearest bus stop (kilometers).
distToCoastline
distance from house to the nearest coastline location (kilometers).
distToNatPark
distance from house to the nearest national park (kilometers).
distToPark
distance from house to the nearest park (kilometers).
distToRailLine
distance from house to the nearest railway line (kilometers).
distToRailStation
distance from house to the nearest railway station (kilometers).
distToHighway
distance from house to the nearest highway (kilometers).
distToFreeway
distance from house to the nearest freeway (kilometers).
distToTunnel
distance from house to the Sydney Harbour Tunnel (kilometers).
distToMainRoad
distance from house to the nearest main road (kilometers).
distToSealedRoad
distance from house to the nearest sealed road (kilometers).
distToUnsealedRoad
distance from house to the nearest sealed road (kilometers).
airNoise
aircraft noise exposure measure.
foreignerRatio
proportion of foreigners in the suburb in which the house is located.
distToGPO
distance from the house to the General Post Office in Sydney's central business district (kilometers).
NO
nitrous oxide level recorded at the air pollution monitoring station nearest to the house.
NO2
nitrogen dioxide level recorded at the air pollution monitoring station nearest to the house.
ozone
ozone level recorded at the air pollution monitoring station nearest to the house.
neph
nephelometer suspended matter measurement recorded at the air pollution monitoring station nearest to the house.
PM10
particulate matter with a diameter of under 10 micrometers leve recorded at the air pollution monitoring station nearest to the house.
SO2
sulphur dioxide level recorded at the air pollution monitoring station nearest to the house.
distToAmbulance
distance from house to the nearest ambulance station (kilometers).
distToFactory
distance from house to the nearest factory (kilometers).
distToFerry
distance from house to the nearest ferry wharf (kilometers).
distToHospital
distance from house to the nearest hospital (kilometers).
distToMedical
distance from house to the nearest medical services (kilometers).
distToSchool
distance from house to the nearest school (kilometers).
distToUniversity
distance from house to the nearest university (kilometers).
References
Chernih, A. and Sherris, M. (2004). Geoadditive hedonic pricing models. Unpublished manuscript. University of New South Wales, Australia.
Examples
library(HRW) ; data(SydneyRealEstate)
## Not run:
for (colNum in setdiff((2:39),c(5,8)))
{
plot(jitter(SydneyRealEstate[,colNum]),SydneyRealEstate$logSalePrice,pch = ".",
xlab = names(SydneyRealEstate)[colNum],ylab = "log(sale price)",col = "blue")
readline("Hit Enter to continue.\n")
}
## End(Not run)