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flexclust (version 1.3-4)

auto: Automobile Customer Survey Data

Description

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.

Usage

data(auto)

Arguments

Format

A data frame with 793 observations on the following 46 variables.
model
a factor with levels A B C 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 female
occupation
a factor with levels self-employed, freelance, and employee.
household
size of household, an ordered factor with levels 1-2 < >=3

Source

The original German data are in the public domain and available at http://dx.doi.org/10.5282/ubm/data.14 from LMU Munich. The variable names and help page were translated to English and converted into Rd format by Friedrich Leisch.

References

Open Data LMU (1983): Umfrage unter Kunden einer Automobilfirma, doi:10.5282/ubm/data.14

Examples

Run this code
data(auto)
summary(auto)

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