auto: Automobile Customer Survey Data

Description Usage Format Source References Examples

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

1

Format

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.

Source

The original German data are in the public domain and available from LMU Munich (doi:10.5282/ubm/data.14). 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

1
2

Example output

Loading required package: grid
Loading required package: lattice
Loading required package: modeltools
Loading required package: stats4
 model          gear      leasing             usage      previous_model
 A:312   4 gears  :181   Mode :logical   private :293   BMW 3   :202   
 B:294   5 econo  :527   FALSE:678       both    :456   BMW 5   :193   
 C:117   5 sport  : 31   TRUE :115       business: 44   BMW 7   :160   
 D: 70   automatic: 54                                  Mercedes: 45   
                                                        Opel    : 42   
                                                        VW      : 40   
                                                        (Other) :111   
     other_consider test_drive       info_adv        info_exp      
 same manuf :166    Mode :logical   Mode :logical   Mode :logical  
 other manuf:225    FALSE:503       FALSE:46        FALSE:425      
 both       : 95    TRUE :290       TRUE :747       TRUE :368      
 none       :307                                                   
                                                                   
                                                                   
                                                                   
  info_rec       ch_clarity      ch_economy      ch_driving_properties
 Mode :logical   Mode :logical   Mode :logical   Mode :logical        
 FALSE:469       FALSE:644       FALSE:570       FALSE:246            
 TRUE :324       TRUE :149       TRUE :223       TRUE :547            
                                                                      
                                                                      
                                                                      
                                                                      
 ch_service      ch_interior     ch_quality      ch_technology  
 Mode :logical   Mode :logical   Mode :logical   Mode :logical  
 FALSE:625       FALSE:598       FALSE:432       FALSE:445      
 TRUE :168       TRUE :195       TRUE :361       TRUE :348      
                                                                
                                                                
                                                                
                                                                
 ch_model_continuity ch_comfort      ch_reliability  ch_handling    
 Mode :logical       Mode :logical   Mode :logical   Mode :logical  
 FALSE:633           FALSE:485       FALSE:468       FALSE:562      
 TRUE :160           TRUE :308       TRUE :325       TRUE :231      
                                                                    
                                                                    
                                                                    
                                                                    
 ch_reputation   ch_concept      ch_character     ch_power      
 Mode :logical   Mode :logical   Mode :logical   Mode :logical  
 FALSE:643       FALSE:630       FALSE:696       FALSE:405      
 TRUE :150       TRUE :163       TRUE :97        TRUE :388      
                                                                
                                                                
                                                                
                                                                
 ch_resale_value ch_styling      ch_safety       ch_sporty      
 Mode :logical   Mode :logical   Mode :logical   Mode :logical  
 FALSE:604       FALSE:591       FALSE:476       FALSE:470      
 TRUE :189       TRUE :202       TRUE :317       TRUE :323      
                                                                
                                                                
                                                                
                                                                
 ch_consumption   ch_space        satisfaction        good1         good2    
 Mode :logical   Mode :logical   Min.   : 1.000   bad    : 90   bad    :146  
 FALSE:590       FALSE:683       1st Qu.: 2.000   neutral:469   neutral:534  
 TRUE :203       TRUE :110       Median : 3.000   good   :234   good   :113  
                                 Mean   : 2.719                              
                                 3rd Qu.: 3.000                              
                                 Max.   :10.000                              
                                                                             
     good3         good4         good5         good6         good7    
 bad    : 69   bad    : 88   bad    : 50   bad    : 46   bad    :203  
 neutral:527   neutral:494   neutral:692   neutral:729   neutral:457  
 good   :197   good   :211   good   : 51   good   : 18   good   :133  
                                                                      
                                                                      
                                                                      
                                                                      
          sporty        drive_char      tempo       consumption     gender   
 good        :674   gentle   : 39   < 130  : 75   low     :134   male  :744  
 more sport  : 61   speedy   :416   130-150:341   ok      :475   female: 49  
 more comfort: 58   powerfull:277   150-180:319   high    :147               
                    extreme  : 61   > 180  : 58   too high: 37               
                                                                             
                                                                             
                                                                             
         occupation  household
 self-employed:247   1-2:324  
 freelance    :140   >=3:469  
 employee     :406            
                              
                              
                              
                              

flexclust documentation built on May 2, 2019, 10:59 a.m.