carcustomers: The car customers dataset from 1983
In extracat: Categorical Data Analysis and Visualization

Description Usage Format Source Examples

This dataset is taken from the website of the Department of Statistics, University of Munich.
The data are based upon a poll from a german car-company. In 1983 questionnaires were sent to 2000 customers, who had purchased a new car approximately three months earlier. The point of interest was the degree of satisfaction, reasons for the particular choice, consumer profile, etc. Participation was of course voluntary. Only 1182 persons answered the questions and after removing forms with "missing values" only 793 questionnaires remained. Each form contained 46 questions, which resulted in a dataset of 46 covariates with 793 observations each. Due to the abundance of ordinal and categorical covariates the dataset is particularly suited for generalized linear models.

1	data(carcustomers)

A data frame with 774 observations on the following 47 variables.

model: a factor with levels A B C D
gear: a factor with levels 4-gear 5-gear (overdrive) 5-gear (sport) Automatic
lease: a factor with levels bought leased
usage: a factor with levels business private private and business
premod: a factor with levels Audi BMW 3er BMW 5er BMW 7er Ford Mercedes Benz Opel other origin Volkswagen
other: a factor with levels No Yes, both Yes, other manufact Yes, same manufact.
testdrv: influence on buying decision: testdrive
promotion: influence on buying decision: promotion
exp: influence on buying decision: experience
recom: influence on buying decision: recommendation
clear: influence on buying decision: clearness
eco: influence on buying decision: economical aspects
drvchar: influence on buying decision: driving character
service: influence on buying decision: service
interior: influence on buying decision: interior
quality: influence on buying decision: overall quality
tech: influence on buying decision: technical aspects
evo: influence on buying decision: evolution
comfort: influence on buying decision: comfort
reliab: influence on buying decision: reliability
handling: influence on buying decision: handling
prestige: influence on buying decision: prestige
concept: influence on buying decision: overall concept
char: influence on buying decision: character
power: influence on buying decision: engine power
valdecr: influence on buying decision:value decrease
styling: influence on buying decision: styling
safety: influence on buying decision:safety
sport: influence on buying decision: sportive
fcons: influence on buying decision: fuel consumption
space: influence on buying decision: available space
sat: overall satisfaction with the car: 1(very satisfied) to 5(not satisfied)
adv1: satisfaction with concept and styling: a factor with levels does not suit neither nor suits
adv2: satisfaction with body/bare essentials: a factor with levels does not suit neither nor suits
adv3: satisfaction with chassis/drive/gearshift: a factor with levels does not suit neither nor suits
adv4: satisfaction with engine/power: a factor with levels does not suit neither nor suits
adv5: satisfaction with electronics: a factor with levels does not suit neither nor suits
adv6: satisfaction with financial aspects: a factor with levels does not suit neither nor suits
adv7: asatisfaction with equipment: a factor with levels does not suit neither nor suits
spoco: balance variables: a factor with levels comfort could be better handling could be better well balanced
faver: usual driving style: a factor with levels economical extreme normal powerful
sspeed: usual speed (Autobahn): a factor with levels >110 mph 60-80 mph 81-9g mph 96-110 mph
sfcons: satisfaction with fuel consumption: a factor with levels Appropriate Definitely too high Just okay Pleasingly low
sex: customer's gender: a factor with levels Female Male
prof: customer's profession: a factor with levels Employee/Workman Free lanced Self employed
family: customers's family type: a factor with levels >3 persons 1-2 persons
Freq: the weighting variable