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Insurance Company Benchmark

ICB.Rd

This data set used in the CoIL 2000 Challenge contains information on customers of an insurance company. The data consists of 86 variables and includes product usage data and socio-demographic data derived from zip area codes.

The data was collected to answer the following question: Can you predict who would be interested in buying a caravan insurance policy and give an explanation why?

Usage

data(ICB1)
data(ICB2)

Format

ICB1 (resp. ICB2) is a data frame of 86 columns (resp. 85) and 5,822 rows (resp. 4,000). Each record consists of 86 (resp 85) variables, containing sociodemographic data (variables 1-43) and product ownership (variables 44-86). The sociodemographic data is derived from zip codes. All customers living in areas with the same zip code have the same sociodemographic attributes. Variable 86 (Purchase) indicates whether the customer purchased a caravan insurance policy. As ICB2 does not have the 86th column, ICB1 should be used for training purposes and ICB2 for testing purposes.

Columns are detailed below

MOSTYPE

Customer Subtype see L0

MAANTHUI

Number of houses 1 - 10

MGEMOMV

Avg size household 1 - 6

MGEMLEEF

Avg age see L1

MOSHOOFD

Customer main type see L2

MGODRK

Roman catholic see L3

MGODPR

Protestant ...

MGODOV

Other religion

MGODGE

No religion

MRELGE

Married

MRELSA

Living together

MRELOV

Other relation

MFALLEEN

Singles

MFGEKIND

Household without children

MFWEKIND

Household with children

MOPLHOOG

High level education

MOPLMIDD

Medium level education

MOPLLAAG

Lower level education

MBERHOOG

High status

MBERZELF

Entrepreneur

MBERBOER

Farmer

MBERMIDD

Middle management

MBERARBG

Skilled labourers

MBERARBO

Unskilled labourers

MSKA

Social class A

MSKB1

Social class B1

MSKB2

Social class B2

MSKC

Social class C

MSKD

Social class D

MHHUUR

Rented house

MHKOOP

Home owners

MAUT1

1 car

MAUT2

2 cars

MAUT0

No car

MZFONDS

National Health Service

MZPART

Private health insurance

MINKM30

Income < 30.000

MINK3045

Income 30-45.000

MINK4575

Income 45-75.000

MINK7512

Income 75-122.000

MINK123M

Income >123.000

MINKGEM

Average income

MKOOPKLA

Purchasing power class

PWAPART

Contribution private third party insurance see L4

PWABEDR

Contribution third party insurance (firms) ...

PWALAND

Contribution third party insurane (agriculture)

PPERSAUT

Contribution car policies

PBESAUT

Contribution delivery van policies

PMOTSCO

Contribution motorcycle/scooter policies

PVRAAUT

Contribution lorry policies

PAANHANG

Contribution trailer policies

PTRACTOR

Contribution tractor policies

PWERKT

Contribution agricultural machines policies

PBROM

Contribution moped policies

PLEVEN

Contribution life insurances

PPERSONG

Contribution private accident insurance policies

PGEZONG

Contribution family accidents insurance policies

PWAOREG

Contribution disability insurance policies

PBRAND

Contribution fire policies

PZEILPL

Contribution surfboard policies

PPLEZIER

Contribution boat policies

PFIETS

Contribution bicycle policies

PINBOED

Contribution property insurance policies

PBYSTAND

Contribution social security insurance policies

AWAPART

Number of private third party insurance 1 - 12

AWABEDR

Number of third party insurance (firms) ...

AWALAND

Number of third party insurane (agriculture)

APERSAUT

Number of car policies

ABESAUT

Number of delivery van policies

AMOTSCO

Number of motorcycle/scooter policies

AVRAAUT

Number of lorry policies

AAANHANG

Number of trailer policies

ATRACTOR

Number of tractor policies

AWERKT

Number of agricultural machines policies

ABROM

Number of moped policies

ALEVEN

Number of life insurances

APERSONG

Number of private accident insurance policies

AGEZONG

Number of family accidents insurance policies

AWAOREG

Number of disability insurance policies

ABRAND

Number of fire policies

AZEILPL

Number of surfboard policies

APLEZIER

Number of boat policies

AFIETS

Number of bicycle policies

AINBOED

Number of property insurance policies

ABYSTAND

Number of social security insurance policies

CARAVAN

Number of mobile home policies 0 - 1

L0 information: 1 High Income, expensive child, 2 Very Important Provincials, 3 High status seniors, 4 Affluent senior apartments, 5 Mixed seniors, 6 Career and childcare, 7 Dinki s (double income no kids), 8 Middle class families, 9 Modern, complete families, 10 Stable family, 11 Family starters, 12 Affluent young families, 13 Young all american family, 14 Junior cosmopolitan, 15 Senior cosmopolitans, 16 Students in apartments, 17 Fresh masters in the city, 18 Single youth, 19 Suburban youth, 20 Etnically diverse, 21 Young urban have-nots, 22 Mixed apartment dwellers, 23 Young and rising, 24 Young, low educated , 25 Young seniors in the city, 26 Own home elderly, 27 Seniors in apartments, 28 Residential elderly, 29 Porchless seniors: no front yard, 30 Religious elderly singles, 31 Low income catholics, 32 Mixed seniors, 33 Lower class large families, 34 Large family, employed child, 35 Village families, 36 Couples with teens (Married with children), 37 Mixed small town dwellers, 38 Traditional families, 39 Large religous families, 40 Large family farms, 41 Mixed rurals.

L1 information: 1 20-30 years, 2 30-40 years, 3 40-50 years, 4 50-60 years, 5 60-70 years, 6 70-80 years.

L2 information: 1 Successful hedonists, 2 Driven Growers, 3 Average Family, 4 Career Loners, 5 Living well, 6 Cruising Seniors, 7 Retired and Religeous, 8 Family with grown ups, 9 Conservative families, 10 Farmers.

L3 information: 0 0%, 1 1 - 10%, 2 11 - 23%, 3 24 - 36%, 4 37 - 49%, 5 50 - 62%, 6 63 - 75%, 7 76 - 88%.

L4 information: 0 0, 1 1 - 49, 2 50 - 99, 3 100 - 199, 4 200 - 499, 5 500 - 999, 6 1000 - 4999, 7 5000 - 9999, 8 10.000 - 19.999, 9 20.000 - Inf.

Source

Data is (c) Sentient Machine Research 2000

This dataset is owned and supplied by the Dutch datamining company Sentient Machine Research, and is based on real world business data. You are allowed to use this dataset and accompanying information for NON commercial research and education purposes only. It is explicitly NOT allowed to use this dataset for commercial education or demonstration purposes.

http://kdd.ics.uci.edu/databases/tic/tic.data.html.

References

P. van der Putten and M. van Someren (eds) . CoIL Challenge 2000: The Insurance Company Case. Published by Sentient Machine Research, Amsterdam. Also a Leiden Institute of Advanced Computer Science Technical Report 2000-09. June 22, 2000.

See also

http://kdd.ics.uci.edu/databases/tic/tic.html

There is a special website for this benchmark at http://www.liacs.nl/~putten/library/cc2000/. On this website, you can find an online report featuring 29 papers written by participants in the CoIL Challenge 2000 and further background information.

Examples


# (1) load of data
#
data(ICB1)
dim(ICB1)
#> [1] 5822   86
head(ICB1)
#>   MOSTYPE MAANTHUI MGEMOMV MGEMLEEF MOSHOOFD MGODRK MGODPR MGODOV MGODGE MRELGE
#> 1      33        1       3        2        8      0      5      1      3      7
#> 2      37        1       2        2        8      1      4      1      4      6
#> 3      37        1       2        2        8      0      4      2      4      3
#> 4       9        1       3        3        3      2      3      2      4      5
#> 5      40        1       4        2       10      1      4      1      4      7
#> 6      23        1       2        1        5      0      5      0      5      0
#>   MRELSA MRELOV MFALLEEN MFGEKIND MFWEKIND MOPLHOOG MOPLMIDD MOPLLAAG MBERHOOG
#> 1      0      2        1        2        6        1        2        7        1
#> 2      2      2        0        4        5        0        5        4        0
#> 3      2      4        4        4        2        0        5        4        0
#> 4      2      2        2        3        4        3        4        2        4
#> 5      1      2        2        4        4        5        4        0        0
#> 6      6      3        3        5        2        0        5        4        2
#>   MBERZELF MBERBOER MBERMIDD MBERARBG MBERARBO MSKA MSKB1 MSKB2 MSKC MSKD
#> 1        0        1        2        5        2    1     1     2    6    1
#> 2        0        0        5        0        4    0     2     3    5    0
#> 3        0        0        7        0        2    0     5     0    4    0
#> 4        0        0        3        1        2    3     2     1    4    0
#> 5        5        4        0        0        0    9     0     0    0    0
#> 6        0        0        4        2        2    2     2     2    4    2
#>   MHHUUR MHKOOP MAUT1 MAUT2 MAUT0 MZFONDS MZPART MINKM30 MINK3045 MINK4575
#> 1      1      8     8     0     1       8      1       0        4        5
#> 2      2      7     7     1     2       6      3       2        0        5
#> 3      7      2     7     0     2       9      0       4        5        0
#> 4      5      4     9     0     0       7      2       1        5        3
#> 5      4      5     6     2     1       5      4       0        0        9
#> 6      9      0     5     3     3       9      0       5        2        3
#>   MINK7512 MINK123M MINKGEM MKOOPKLA PWAPART PWABEDR PWALAND PPERSAUT PBESAUT
#> 1        0        0       4        3       0       0       0        6       0
#> 2        2        0       5        4       2       0       0        0       0
#> 3        0        0       3        4       2       0       0        6       0
#> 4        0        0       4        4       0       0       0        6       0
#> 5        0        0       6        3       0       0       0        0       0
#> 6        0        0       3        3       0       0       0        6       0
#>   PMOTSCO PVRAAUT PAANHANG PTRACTOR PWERKT PBROM PLEVEN PPERSONG PGEZONG
#> 1       0       0        0        0      0     0      0        0       0
#> 2       0       0        0        0      0     0      0        0       0
#> 3       0       0        0        0      0     0      0        0       0
#> 4       0       0        0        0      0     0      0        0       0
#> 5       0       0        0        0      0     0      0        0       0
#> 6       0       0        0        0      0     0      0        0       0
#>   PWAOREG PBRAND PZEILPL PPLEZIER PFIETS PINBOED PBYSTAND AWAPART AWABEDR
#> 1       0      5       0        0      0       0        0       0       0
#> 2       0      2       0        0      0       0        0       2       0
#> 3       0      2       0        0      0       0        0       1       0
#> 4       0      2       0        0      0       0        0       0       0
#> 5       0      6       0        0      0       0        0       0       0
#> 6       0      0       0        0      0       0        0       0       0
#>   AWALAND APERSAUT ABESAUT AMOTSCO AVRAAUT AAANHANG ATRACTOR AWERKT ABROM
#> 1       0        1       0       0       0        0        0      0     0
#> 2       0        0       0       0       0        0        0      0     0
#> 3       0        1       0       0       0        0        0      0     0
#> 4       0        1       0       0       0        0        0      0     0
#> 5       0        0       0       0       0        0        0      0     0
#> 6       0        1       0       0       0        0        0      0     0
#>   ALEVEN APERSONG AGEZONG AWAOREG ABRAND AZEILPL APLEZIER AFIETS AINBOED
#> 1      0        0       0       0      1       0        0      0       0
#> 2      0        0       0       0      1       0        0      0       0
#> 3      0        0       0       0      1       0        0      0       0
#> 4      0        0       0       0      1       0        0      0       0
#> 5      0        0       0       0      1       0        0      0       0
#> 6      0        0       0       0      0       0        0      0       0
#>   ABYSTAND CARAVAN
#> 1        0       0
#> 2        0       0
#> 3        0       0
#> 4        0       0
#> 5        0       0
#> 6        0       0

summary(ICB1)
#>     MOSTYPE         MAANTHUI         MGEMOMV         MGEMLEEF    
#>  Min.   : 1.00   Min.   : 1.000   Min.   :1.000   Min.   :1.000  
#>  1st Qu.:10.00   1st Qu.: 1.000   1st Qu.:2.000   1st Qu.:2.000  
#>  Median :30.00   Median : 1.000   Median :3.000   Median :3.000  
#>  Mean   :24.25   Mean   : 1.111   Mean   :2.679   Mean   :2.991  
#>  3rd Qu.:35.00   3rd Qu.: 1.000   3rd Qu.:3.000   3rd Qu.:3.000  
#>  Max.   :41.00   Max.   :10.000   Max.   :5.000   Max.   :6.000  
#>     MOSHOOFD          MGODRK           MGODPR          MGODOV    
#>  Min.   : 1.000   Min.   :0.0000   Min.   :0.000   Min.   :0.00  
#>  1st Qu.: 3.000   1st Qu.:0.0000   1st Qu.:4.000   1st Qu.:0.00  
#>  Median : 7.000   Median :0.0000   Median :5.000   Median :1.00  
#>  Mean   : 5.774   Mean   :0.6965   Mean   :4.627   Mean   :1.07  
#>  3rd Qu.: 8.000   3rd Qu.:1.0000   3rd Qu.:6.000   3rd Qu.:2.00  
#>  Max.   :10.000   Max.   :9.0000   Max.   :9.000   Max.   :5.00  
#>      MGODGE          MRELGE          MRELSA           MRELOV    
#>  Min.   :0.000   Min.   :0.000   Min.   :0.0000   Min.   :0.00  
#>  1st Qu.:2.000   1st Qu.:5.000   1st Qu.:0.0000   1st Qu.:1.00  
#>  Median :3.000   Median :6.000   Median :1.0000   Median :2.00  
#>  Mean   :3.259   Mean   :6.183   Mean   :0.8835   Mean   :2.29  
#>  3rd Qu.:4.000   3rd Qu.:7.000   3rd Qu.:1.0000   3rd Qu.:3.00  
#>  Max.   :9.000   Max.   :9.000   Max.   :7.0000   Max.   :9.00  
#>     MFALLEEN        MFGEKIND       MFWEKIND      MOPLHOOG        MOPLMIDD    
#>  Min.   :0.000   Min.   :0.00   Min.   :0.0   Min.   :0.000   Min.   :0.000  
#>  1st Qu.:0.000   1st Qu.:2.00   1st Qu.:3.0   1st Qu.:0.000   1st Qu.:2.000  
#>  Median :2.000   Median :3.00   Median :4.0   Median :1.000   Median :3.000  
#>  Mean   :1.888   Mean   :3.23   Mean   :4.3   Mean   :1.461   Mean   :3.351  
#>  3rd Qu.:3.000   3rd Qu.:4.00   3rd Qu.:6.0   3rd Qu.:2.000   3rd Qu.:4.000  
#>  Max.   :9.000   Max.   :9.00   Max.   :9.0   Max.   :9.000   Max.   :9.000  
#>     MOPLLAAG        MBERHOOG        MBERZELF        MBERBOER     
#>  Min.   :0.000   Min.   :0.000   Min.   :0.000   Min.   :0.0000  
#>  1st Qu.:3.000   1st Qu.:0.000   1st Qu.:0.000   1st Qu.:0.0000  
#>  Median :5.000   Median :2.000   Median :0.000   Median :0.0000  
#>  Mean   :4.572   Mean   :1.895   Mean   :0.398   Mean   :0.5223  
#>  3rd Qu.:6.000   3rd Qu.:3.000   3rd Qu.:1.000   3rd Qu.:1.0000  
#>  Max.   :9.000   Max.   :9.000   Max.   :5.000   Max.   :9.0000  
#>     MBERMIDD        MBERARBG       MBERARBO          MSKA           MSKB1      
#>  Min.   :0.000   Min.   :0.00   Min.   :0.000   Min.   :0.000   Min.   :0.000  
#>  1st Qu.:2.000   1st Qu.:1.00   1st Qu.:1.000   1st Qu.:0.000   1st Qu.:1.000  
#>  Median :3.000   Median :2.00   Median :2.000   Median :1.000   Median :2.000  
#>  Mean   :2.899   Mean   :2.22   Mean   :2.306   Mean   :1.621   Mean   :1.607  
#>  3rd Qu.:4.000   3rd Qu.:3.00   3rd Qu.:3.000   3rd Qu.:2.000   3rd Qu.:2.000  
#>  Max.   :9.000   Max.   :9.00   Max.   :9.000   Max.   :9.000   Max.   :9.000  
#>      MSKB2            MSKC            MSKD           MHHUUR     
#>  Min.   :0.000   Min.   :0.000   Min.   :0.000   Min.   :0.000  
#>  1st Qu.:1.000   1st Qu.:2.000   1st Qu.:0.000   1st Qu.:2.000  
#>  Median :2.000   Median :4.000   Median :1.000   Median :4.000  
#>  Mean   :2.203   Mean   :3.759   Mean   :1.067   Mean   :4.237  
#>  3rd Qu.:3.000   3rd Qu.:5.000   3rd Qu.:2.000   3rd Qu.:7.000  
#>  Max.   :9.000   Max.   :9.000   Max.   :9.000   Max.   :9.000  
#>      MHKOOP          MAUT1          MAUT2           MAUT0          MZFONDS     
#>  Min.   :0.000   Min.   :0.00   Min.   :0.000   Min.   :0.000   Min.   :0.000  
#>  1st Qu.:2.000   1st Qu.:5.00   1st Qu.:0.000   1st Qu.:1.000   1st Qu.:5.000  
#>  Median :5.000   Median :6.00   Median :1.000   Median :2.000   Median :7.000  
#>  Mean   :4.772   Mean   :6.04   Mean   :1.316   Mean   :1.959   Mean   :6.277  
#>  3rd Qu.:7.000   3rd Qu.:7.00   3rd Qu.:2.000   3rd Qu.:3.000   3rd Qu.:8.000  
#>  Max.   :9.000   Max.   :9.00   Max.   :7.000   Max.   :9.000   Max.   :9.000  
#>      MZPART         MINKM30         MINK3045        MINK4575    
#>  Min.   :0.000   Min.   :0.000   Min.   :0.000   Min.   :0.000  
#>  1st Qu.:1.000   1st Qu.:1.000   1st Qu.:2.000   1st Qu.:1.000  
#>  Median :2.000   Median :2.000   Median :4.000   Median :3.000  
#>  Mean   :2.729   Mean   :2.574   Mean   :3.536   Mean   :2.731  
#>  3rd Qu.:4.000   3rd Qu.:4.000   3rd Qu.:5.000   3rd Qu.:4.000  
#>  Max.   :9.000   Max.   :9.000   Max.   :9.000   Max.   :9.000  
#>     MINK7512         MINK123M         MINKGEM         MKOOPKLA    
#>  Min.   :0.0000   Min.   :0.0000   Min.   :0.000   Min.   :1.000  
#>  1st Qu.:0.0000   1st Qu.:0.0000   1st Qu.:3.000   1st Qu.:3.000  
#>  Median :0.0000   Median :0.0000   Median :4.000   Median :4.000  
#>  Mean   :0.7961   Mean   :0.2027   Mean   :3.784   Mean   :4.236  
#>  3rd Qu.:1.0000   3rd Qu.:0.0000   3rd Qu.:4.000   3rd Qu.:6.000  
#>  Max.   :9.0000   Max.   :9.0000   Max.   :9.000   Max.   :8.000  
#>     PWAPART          PWABEDR           PWALAND           PPERSAUT   
#>  Min.   :0.0000   Min.   :0.00000   Min.   :0.00000   Min.   :0.00  
#>  1st Qu.:0.0000   1st Qu.:0.00000   1st Qu.:0.00000   1st Qu.:0.00  
#>  Median :0.0000   Median :0.00000   Median :0.00000   Median :5.00  
#>  Mean   :0.7712   Mean   :0.04002   Mean   :0.07162   Mean   :2.97  
#>  3rd Qu.:2.0000   3rd Qu.:0.00000   3rd Qu.:0.00000   3rd Qu.:6.00  
#>  Max.   :3.0000   Max.   :6.00000   Max.   :4.00000   Max.   :8.00  
#>     PBESAUT           PMOTSCO          PVRAAUT            PAANHANG      
#>  Min.   :0.00000   Min.   :0.0000   Min.   :0.000000   Min.   :0.00000  
#>  1st Qu.:0.00000   1st Qu.:0.0000   1st Qu.:0.000000   1st Qu.:0.00000  
#>  Median :0.00000   Median :0.0000   Median :0.000000   Median :0.00000  
#>  Mean   :0.04827   Mean   :0.1754   Mean   :0.009447   Mean   :0.02096  
#>  3rd Qu.:0.00000   3rd Qu.:0.0000   3rd Qu.:0.000000   3rd Qu.:0.00000  
#>  Max.   :7.00000   Max.   :7.0000   Max.   :9.000000   Max.   :5.00000  
#>     PTRACTOR           PWERKT            PBROM           PLEVEN      
#>  Min.   :0.00000   Min.   :0.00000   Min.   :0.000   Min.   :0.0000  
#>  1st Qu.:0.00000   1st Qu.:0.00000   1st Qu.:0.000   1st Qu.:0.0000  
#>  Median :0.00000   Median :0.00000   Median :0.000   Median :0.0000  
#>  Mean   :0.09258   Mean   :0.01305   Mean   :0.215   Mean   :0.1948  
#>  3rd Qu.:0.00000   3rd Qu.:0.00000   3rd Qu.:0.000   3rd Qu.:0.0000  
#>  Max.   :6.00000   Max.   :6.00000   Max.   :6.000   Max.   :9.0000  
#>     PPERSONG          PGEZONG           PWAOREG            PBRAND     
#>  Min.   :0.00000   Min.   :0.00000   Min.   :0.00000   Min.   :0.000  
#>  1st Qu.:0.00000   1st Qu.:0.00000   1st Qu.:0.00000   1st Qu.:0.000  
#>  Median :0.00000   Median :0.00000   Median :0.00000   Median :2.000  
#>  Mean   :0.01374   Mean   :0.01529   Mean   :0.02353   Mean   :1.828  
#>  3rd Qu.:0.00000   3rd Qu.:0.00000   3rd Qu.:0.00000   3rd Qu.:4.000  
#>  Max.   :6.00000   Max.   :3.00000   Max.   :7.00000   Max.   :8.000  
#>     PZEILPL             PPLEZIER           PFIETS           PINBOED       
#>  Min.   :0.0000000   Min.   :0.00000   Min.   :0.00000   Min.   :0.00000  
#>  1st Qu.:0.0000000   1st Qu.:0.00000   1st Qu.:0.00000   1st Qu.:0.00000  
#>  Median :0.0000000   Median :0.00000   Median :0.00000   Median :0.00000  
#>  Mean   :0.0008588   Mean   :0.01889   Mean   :0.02525   Mean   :0.01563  
#>  3rd Qu.:0.0000000   3rd Qu.:0.00000   3rd Qu.:0.00000   3rd Qu.:0.00000  
#>  Max.   :3.0000000   Max.   :6.00000   Max.   :1.00000   Max.   :6.00000  
#>     PBYSTAND          AWAPART         AWABEDR           AWALAND       
#>  Min.   :0.00000   Min.   :0.000   Min.   :0.00000   Min.   :0.00000  
#>  1st Qu.:0.00000   1st Qu.:0.000   1st Qu.:0.00000   1st Qu.:0.00000  
#>  Median :0.00000   Median :0.000   Median :0.00000   Median :0.00000  
#>  Mean   :0.04758   Mean   :0.403   Mean   :0.01477   Mean   :0.02061  
#>  3rd Qu.:0.00000   3rd Qu.:1.000   3rd Qu.:0.00000   3rd Qu.:0.00000  
#>  Max.   :5.00000   Max.   :2.000   Max.   :5.00000   Max.   :1.00000  
#>     APERSAUT         ABESAUT           AMOTSCO           AVRAAUT        
#>  Min.   :0.0000   Min.   :0.00000   Min.   :0.00000   Min.   :0.000000  
#>  1st Qu.:0.0000   1st Qu.:0.00000   1st Qu.:0.00000   1st Qu.:0.000000  
#>  Median :1.0000   Median :0.00000   Median :0.00000   Median :0.000000  
#>  Mean   :0.5622   Mean   :0.01048   Mean   :0.04105   Mean   :0.002233  
#>  3rd Qu.:1.0000   3rd Qu.:0.00000   3rd Qu.:0.00000   3rd Qu.:0.000000  
#>  Max.   :7.0000   Max.   :4.00000   Max.   :8.00000   Max.   :3.000000  
#>     AAANHANG          ATRACTOR           AWERKT             ABROM        
#>  Min.   :0.00000   Min.   :0.00000   Min.   :0.000000   Min.   :0.00000  
#>  1st Qu.:0.00000   1st Qu.:0.00000   1st Qu.:0.000000   1st Qu.:0.00000  
#>  Median :0.00000   Median :0.00000   Median :0.000000   Median :0.00000  
#>  Mean   :0.01254   Mean   :0.03367   Mean   :0.006183   Mean   :0.07042  
#>  3rd Qu.:0.00000   3rd Qu.:0.00000   3rd Qu.:0.000000   3rd Qu.:0.00000  
#>  Max.   :3.00000   Max.   :4.00000   Max.   :6.000000   Max.   :2.00000  
#>      ALEVEN           APERSONG           AGEZONG            AWAOREG        
#>  Min.   :0.00000   Min.   :0.000000   Min.   :0.000000   Min.   :0.000000  
#>  1st Qu.:0.00000   1st Qu.:0.000000   1st Qu.:0.000000   1st Qu.:0.000000  
#>  Median :0.00000   Median :0.000000   Median :0.000000   Median :0.000000  
#>  Mean   :0.07661   Mean   :0.005325   Mean   :0.006527   Mean   :0.004638  
#>  3rd Qu.:0.00000   3rd Qu.:0.000000   3rd Qu.:0.000000   3rd Qu.:0.000000  
#>  Max.   :8.00000   Max.   :1.000000   Max.   :1.000000   Max.   :2.000000  
#>      ABRAND          AZEILPL             APLEZIER            AFIETS       
#>  Min.   :0.0000   Min.   :0.0000000   Min.   :0.000000   Min.   :0.00000  
#>  1st Qu.:0.0000   1st Qu.:0.0000000   1st Qu.:0.000000   1st Qu.:0.00000  
#>  Median :1.0000   Median :0.0000000   Median :0.000000   Median :0.00000  
#>  Mean   :0.5701   Mean   :0.0005153   Mean   :0.006012   Mean   :0.03178  
#>  3rd Qu.:1.0000   3rd Qu.:0.0000000   3rd Qu.:0.000000   3rd Qu.:0.00000  
#>  Max.   :7.0000   Max.   :1.0000000   Max.   :2.000000   Max.   :3.00000  
#>     AINBOED            ABYSTAND          CARAVAN       
#>  Min.   :0.000000   Min.   :0.00000   Min.   :0.00000  
#>  1st Qu.:0.000000   1st Qu.:0.00000   1st Qu.:0.00000  
#>  Median :0.000000   Median :0.00000   Median :0.00000  
#>  Mean   :0.007901   Mean   :0.01426   Mean   :0.05977  
#>  3rd Qu.:0.000000   3rd Qu.:0.00000   3rd Qu.:0.00000  
#>  Max.   :2.000000   Max.   :2.00000   Max.   :1.00000  

data(ICB2)