insurance: Insurance Dataset

In DiscriMiner: Tools of the Trade for Discriminant Analysis

Description

Dataset of car-insurance customers from Belgium in 1992

Format

A data frame with 1106 observations on the following 10 variables.

Claims	Group variable. A factor with levels bad and good
Use	Type of Use. A factor with levels private and professional
Type	Insurance Type. A factor with levels companies, female, and male
Language	Language. A factor with levels flemish and french
BirthCohort	Birth Cohort. A factor with levels BD_1890_1949, BD_1950_1973, and BD_unknown
Region	Geographic Region. A factor with levels Brussels and Other_regions
BonusMalus	Level of bonus-malus. A factor with levels BM_minus and BM_plus
YearSuscrip	Year of Subscription. A factor with levels YS<86 and YS>=86
Horsepower	Horsepower. A factor with levels HP<=39 and HP>=40
YearConstruc	Year of vehicle construction. A factor with levels YC_33_89 and YC_90_91

Details

Dataset for DISQUAL method

References

Saporta G., Niang N. (2006) Correspondence Analysis and Classification. In Multiple Correspondence Analysis and Related Methods, M. Greenacre and J. Blasius, Eds., pp 371-392. Chapman & Hall/CRC, Boca Raton, Florida, USA.

See Also

disqual

Examples

## Not run: 
  # load data
  data(insurance)

  # structure
  str(insurance)
 
## End(Not run)

Example output

'data.frame':	1106 obs. of  10 variables:
 $ Claims      : Factor w/ 2 levels "bad","good": 2 2 2 2 2 2 2 2 2 1 ...
 $ Use         : Factor w/ 2 levels "private","professional": 1 1 1 1 1 1 1 1 1 1 ...
 $ Type        : Factor w/ 3 levels "companies","female",..: 3 3 3 3 3 3 3 3 2 3 ...
 $ Language    : Factor w/ 2 levels "flemish","french": 2 1 1 2 2 2 2 1 2 2 ...
 $ BirthCohort : Factor w/ 3 levels "BD_1890_1949",..: 3 3 3 3 1 3 3 3 3 3 ...
 $ Region      : Factor w/ 2 levels "Brussels","Other_regions": 2 2 2 2 2 2 2 2 2 2 ...
 $ BonusMalus  : Factor w/ 2 levels "BM_minus","BM_plus": 2 2 2 2 2 2 2 2 2 2 ...
 $ YearSuscrip : Factor w/ 2 levels "YS<86","YS>=86": 1 1 1 2 1 1 1 1 1 1 ...
 $ Horsepower  : Factor w/ 2 levels "HP<=39","HP>=40": 1 2 1 2 1 2 2 2 1 2 ...
 $ YearConstruc: Factor w/ 2 levels "YC_33_89","YC_90_91": 1 1 1 1 1 1 1 1 1 1 ...

DiscriMiner documentation built on May 1, 2019, 10:32 p.m.