banque {ade4} | R Documentation

## Table of Factors

### Description

`banque` gives the results of a bank survey onto 810 customers.

### Usage

    data(banque)

### Format

This data frame contains the following columns:

csp
  : "Socio-professional categories" a factor with levels `agric` Farmers `artis` Craftsmen, Shopkeepers, Company directors `cadsu` Executives and higher intellectual professions `inter` Intermediate professions `emplo` Other white-collar workers `ouvri` Manual workers `retra` Pensionners `inact` Non working population `etudi` Students
duree
  : "Time relations with the customer" a factor with levels `dm2` <2 years `d24` [2 years, 4 years[ `d48` [4 years, 8 years[ `d812` [8 years, 12 years[ `dp12` >= 12 years
oppo
  : "Stopped a check ?" a factor with levels `non` no `oui` yes
age
  : "Customer's age" a factor with levels `ai25` [18 years, 25 years[ `ai35` [25 years, 35 years[ `ai45` [35 years, 45 years[ `ai55` [45 years, 55 years[ `ai75` [55 years, 75 years[
sexe
  : "Customer's gender" a factor with levels `hom` Male `fem` Female
interdit
  : "No checkbook allowed" a factor with levels `non` no `oui` yes
cableue
  : "Possess a bank card ?" a factor with levels `non` no `oui` yes
assurvi
  : "Contrat of life insurance ?" a factor with levels `non` no
  `oui` yes
soldevu
  : "Balance of the current accounts" a factor with levels `p4` credit balance > 20000 `p3` credit balance 12000-20000 `p2` credit balance 4000-120000 `p1` credit balance >0-4000 `n1` debit balance 0-4000 `n2` debit balance >4000
eparlog
  : "Savings and loan association account amount" a factor with levels `for` > 20000 `fai` >0 et <20000 `nul` nulle
eparliv
  : "Savings bank amount" a factor with levels `for` > 20000 `fai` >0 et <20000 `nul` nulle
credhab
  : "Home loan owner" a factor with levels `non` no `oui` yes
credcon
  : "Consumer credit amount" a factor with levels `nul` none `fai` >0 and <20000 `for` > 20000
versesp
  : "Check deposits" a factor with levels `oui` yes `non` no
retresp
  : "Cash withdrawals" a factor with levels `fai` < 2000 `moy` 2000-5000 `for` > 5000
remiche
  : "Endorsed checks amount" a factor with levels `for` >10000 `moy` 10000-5000 `fai` 1-5000 `nul` none
preltre
  : "Treasury Department tax deductions" a factor with levels `nul` none `fai` <1000 `moy` >1000
prelfin
  : "Financial institution deductions" a factor with levels `nul` none `fai` <1000 `moy` >1000
viredeb
  : "Debit transfer amount" a factor with levels `nul` none `fai` <2500 `moy` 2500-5000 `for` >5000
virecre
  : "Credit transfer amount" a factor with levels `for` >10000 `moy` 10000-5000 `fai` <5000 `nul` aucun
porttit
  : "Securities portfolio estimations" a factor with levels `nul` none `fai` < 20000 `moy` 20000-100000 `for` >100000

### Source

anonymous

### Examples

    data(banque)
    banque.acm <- dudi.acm(banque, scann = FALSE, nf = 3)
    apply(banque.acm$cr, 2, mean)
    banque.acm$eig[1:banque.acm$nf] # the same thing
    s.arrow(banque.acm$c1, clab = 0.75)

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