munichrent03: Data for the Rent Index 2003 in Munich, Germany
In LinRegInteractive: Interactive Interpretation of Linear Regression Models

Description Usage Format Details Source References Examples

Sample of 2,053 appartments from the data collected for the preparation of the Munich rent index 2003.

1	data("munichrent03")

A data frame with 2,053 observations on the following 12 variables.

rent: Net rent in EUR (numeric).
rentsqm: Net rent per square meter in EUR (numeric).
area: Floor area in square meters (numeric).
rooms: Number of rooms (numeric).
yearc: Year of construction (numeric).
bathextra: Factor: High quality equipment in the bathroom?
bathtile: Factor: Bathroom tiled?
cheating: Factor: Central heating available?
district: Urban district where the apartment is located. Factor with 25 levels: "All-Umenz" (Allach - Untermenzing), "Alt-Le" (Altstadt - Lehel), "Au-Haid" (Au - Haidhausen), "Au-Lo-La" (Aubing - Lochhausen - Langwied), "BamLaim" (Berg am Laim), "Bogenh" (Bogenhausen), "Feld-Has" (Feldmoching - Hasenbergl), "Had" (Hadern), "Laim" (Laim), "Lud-Isar"(Ludwigsvorstadt - Isarvorstadt), "Maxvor" (Maxvorstadt), "Mil-AmH" (Milbertshofen - Am Hart), "Moos" (Moosach), "Neuh-Nymp" (Neuhausen - Nymphenburg), "Obgies" (Obergiesing), "Pas-Obmenz" (Pasing - Obermenzing), "Ram-Per" (Ramersdorf - Perlach), "SchwWest" (Schwabing West), "Schwab-Frei" (Schwabing - Freimann), "Schwanth" (Schwanthalerhoehe), "Send" (Sendling), "Send-West" (Sendling - Westpark), "Th-Ob-Fo-Fu-So" (Thalkirchen - Obersendling - Forstenried - Fuerstenried - Solln), "Trud-Riem" (Trudering - Riem) and "Ugies-Har" (Untergiesing - Harlaching).
location: Quality of location. Ordered factor with levels "normal", "good" and "top".
upkitchen: Factor: Upscale equipment in kitchen?
wwater: Factor: Hot water supply available?

A detailed description (German only) of the factor levels can be found in the rent index brochure of the city of Munich. The corresponding URL violates the CRAN-policies, therefore it must be copy-and-pasted into a browser: http://www.muenchen.de/rathaus/dms/Home/Stadtverwaltung/Sozialreferat/wohnungsamt/Mietspiegel/pdf_mietspiegel/mietspiegel2013/Brosch%C3%BCre%20Mietspiegel%202013.pdf

http://www.stat.uni-muenchen.de/service/datenarchiv/miete/miete03.html

Fahrmeir, L., Kneib, T., Lang, S., Marx, B. (2013): Regression: Models, Methods and Applications. Berlin: Springer.

Fahrmeir, L., Kuenstler, R., Pigeot, I., Tutz, G. (2004): Statistik: der Weg zur Datenanalyse, 5th edition. Berlin: Springer.

data("munichrent03")
print(summary(munichrent03))

par(ask=TRUE)
plot(munichrent03[,1:5])
plot(rentsqm ~ bathextra, data=munichrent03)
plot(rentsqm ~ bathtile, data=munichrent03)
plot(rentsqm ~ cheating, data=munichrent03)
plot(rentsqm ~ location, data=munichrent03)
plot(rentsqm ~ upkitchen, data=munichrent03)
plot(rentsqm ~ wwater, data=munichrent03)

oldpar <- par(no.readonly = TRUE)
par(las=3, mar=c(8,4,4,2)+0.1)
plot(rentsqm ~ district, xlab=NA, data=munichrent03)
par(oldpar)

par(ask=FALSE)