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.
model
A factor with levels A
, B
,
C
, or D
; model bought by the customer.
gear
A factor with levels 4 gears
, 5
econo
, 5 sport
, or automatic
.
leasing
A logical vector, was leasing used to finance the car?
usage
A factor with levels private
, both
, business
.
previous_model
A factor describing which type of car was owned directly before the purchase.
other_consider
A factor with levels same manuf
,
other manuf
, both
, or none
.
test_drive
A logical vector, did you do a test drive?
info_adv
A logical vector, was advertising an important source of information?
info_exp
A logical vector, was experience an important source of information?
info_rec
A logical vector, were recommendations an important source of information?
ch_clarity
A logical vector.
ch_economy
A logical vector.
ch_driving_properties
A logical vector.
ch_service
A logical vector.
ch_interior
A logical vector.
ch_quality
A logical vector.
ch_technology
A logical vector.
ch_model_continuity
A logical vector.
ch_comfort
A logical vector.
ch_reliability
A logical vector.
ch_handling
A logical vector.
ch_reputation
A logical vector.
ch_concept
A logical vector.
ch_character
A logical vector.
ch_power
A logical vector.
ch_resale_value
A logical vector.
ch_styling
A logical vector.
ch_safety
A logical vector.
ch_sporty
A logical vector.
ch_consumption
A logical vector.
ch_space
A logical vector.
satisfaction
A numeric vector describing overall satisfaction (1=very good, 10=very bad).
good1
Conception, styling, dimensions.
good2
Auto body.
good3
Driving and coupled axles.
good4
Engine.
good5
Electronics.
good6
Financing and customer service.
good7
Other.
sporty
What do you think about the balance of
sportiness and comfort? (good
, more sport
, more comfort
).
drive_char
Driving characteristis (gentle
< speedy
< powerfull
< extreme
).
tempo
Which average speed do you prefer on German
Autobahn in km/h? (< 130
< 130-150
< 150-180
< > 180
)
consumption
An ordered factor with levels low
< ok
< high
< too high
.
gender
A factor with levels male
and female
occupation
A factor with levels self-employed
,
freelance
, and employee
.
household
Size 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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