kknn (version 1.3.1)

miete: Munich Rent Standard Database (1994)

Description

Many german cities compose so-called rent standards to make a decision making instrument available to tenants, landlords, renting advisory boards and experts. The rent standards are used in particular for the determination of the local comparative rent (i.e. net rent as a function of household size, equipment, year of construction, etc.). For the composition of the rent standards, a representative random sample is drawn from all relevant households, and the interesting data are determined by interviewers by means of questionnaires. The dataset contains the data of 1082 households interviewed for the munich rent standard 1994.

Usage

data(miete)

Arguments

Format

A data frame with 1082 observations on the following 18 variables.
nm
Net rent in DM.
wfl
Floor space in sqm.
bj
Year of construction.
bad0
Bathroom in apartment? 1 : no 0 : yes
zh
Central heating? 1 : yes 0 : no
ww0
Hot water supply? 1 : no 0 : yes
badkach
Tiled bathroom? 1 : yes 0 : no
fenster
Window type: 1 : plain windows 0 : state-of-the-art windows
kueche
Kitchen type 1 : well equipped kitchen 0 : plain kitchen
mvdauer
Lease duration in years.
bjkat
Age category of the building (bj categorized) 1 : built before 1919 2 : built between 1919 and 1948 3 : built between 1949 and 1965 4 : built between 1966 and 1977 5 : built between 1978 and 1983 6 : built after 1983
wflkat
Floor space category (wfl categorized): 1 : less than 50 sqm 2 : between 51 sqm and 80 sqm 3 : at least 81 sqm
nmqm
Net rent per sqm.
rooms
Number of rooms in household.
nmkat
Net rent category (nm categorized): 1 : less than 500 DM 2 : between 500 DM and 675 DM 3 : between 675 DM and 850 DM 4 : between 850 DM and 1150 DM 5 : at least 1150 DM
adr
Address type: 1 : bad 2 : average 3 : good
wohn
Residential type: 1 : bad 2 : average 3 : good

Source

Fahrmeir, L., Kuenstler, R., Pigeot, I. und Tutz, G. (1997): Statistik: der Weg zur Datenanalyse, Springer, Berlin. http://www.stat.uni-muenchen.de/service/datenarchiv The data were converted to R format by klaus.schliep@gmail.com.

Examples

data(miete)
str(miete)