A German manufacturer of premium cars asked customers approximately 3 months after a car purchase which characteristics of the car were most important for the decision to buy the car. The survey was done in 1983 and the data set contains all responses without missing values.
data(auto)A data frame with 793 observations on the following 46 variables.
modelA factor with levels A, B,
C, or D; model bought by the customer.
gearA factor with levels 4 gears, 5
econo, 5 sport, or automatic.
leasingA logical vector, was leasing used to finance the car?
usageA factor with levels private, both, business.
previous_modelA factor describing which type of car was owned directly before the purchase.
other_considerA factor with levels same manuf,
other manuf, both, or none.
test_driveA logical vector, did you do a test drive?
info_advA logical vector, was advertising an important source of information?
info_expA logical vector, was experience an important source of information?
info_recA logical vector, were recommendations an important source of information?
ch_clarityA logical vector.
ch_economyA logical vector.
ch_driving_propertiesA logical vector.
ch_serviceA logical vector.
ch_interiorA logical vector.
ch_qualityA logical vector.
ch_technologyA logical vector.
ch_model_continuityA logical vector.
ch_comfortA logical vector.
ch_reliabilityA logical vector.
ch_handlingA logical vector.
ch_reputationA logical vector.
ch_conceptA logical vector.
ch_characterA logical vector.
ch_powerA logical vector.
ch_resale_valueA logical vector.
ch_stylingA logical vector.
ch_safetyA logical vector.
ch_sportyA logical vector.
ch_consumptionA logical vector.
ch_spaceA logical vector.
satisfactionA numeric vector describing overall satisfaction (1=very good, 10=very bad).
good1Conception, styling, dimensions.
good2Auto body.
good3Driving and coupled axles.
good4Engine.
good5Electronics.
good6Financing and customer service.
good7Other.
sportyWhat do you think about the balance of
sportiness and comfort? (good, more sport, more comfort).
drive_charDriving characteristis (gentle < speedy < powerfull < extreme).
tempoWhich average speed do you prefer on German
Autobahn in km/h? (< 130 < 130-150 < 150-180 < > 180)
consumptionAn ordered factor with levels low < ok < high < too high.
genderA factor with levels male and female
occupationA factor with levels self-employed,
freelance, and employee.
householdSize of household, an ordered factor with levels 1-2 < >=3.
Open Data LMU (1983): Umfrage unter Kunden einer Automobilfirma, doi:10.5282/ubm/data.14
# NOT RUN {
data(auto)
summary(auto)
# }
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