ade4 (version 1.7-5)

banque: 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:

1. 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
2. duree: "Time relations with the customer" a factor with levels
   • dm2 <2 years="" <="" li="">
   • d24 [2 years, 4 years[
   • d48 [4 years, 8 years[
   • d812 [8 years, 12 years[
   • dp12 >= 12 years
3. oppo: "Stopped a check?" a factor with levels
   • non no
   • oui yes
4. 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[
5. sexe: "Customer's gender" a factor with levels
   • hom Male
   • fem Female
6. interdit: "No checkbook allowed" a factor with levels
   • non no
   • oui yes
7. cableue: "Possess a bank card?" a factor with levels
   • non no
   • oui yes
8. assurvi: "Contrat of life insurance?" a factor with levels
   • non no
   • oui yes
9. 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
10. eparlog: "Savings and loan association account amount" a factor with levels
    • for > 20000
    • fai >0 and <20000 <="" li="">
    • nul nulle
11. eparliv: "Savings bank amount" a factor with levels
    • for > 20000
    • fai >0 and <20000 <="" li="">
    • nul nulle
12. credhab: "Home loan owner" a factor with levels
    • non no
    • oui yes
13. credcon: "Consumer credit amount" a factor with levels
    • nul none
    • fai >0 and <20000 <="" li="">
    • for > 20000
14. versesp: "Check deposits" a factor with levels
    • oui yes
    • non no
15. retresp: "Cash withdrawals" a factor with levels
    • fai < 2000
    • moy 2000-5000
    • for > 5000
16. remiche: "Endorsed checks amount" a factor with levels
    • for >10000
    • moy 10000-5000
    • fai 1-5000
    • nul none
17. preltre: "Treasury Department tax deductions" a factor with levels
    • nul none
    • fai <1000 <="" li="">
    • moy >1000
18. prelfin: "Financial institution deductions" a factor with levels
    • nul none
    • fai <1000 <="" li="">
    • moy >1000
19. viredeb: "Debit transfer amount" a factor with levels
    • nul none
    • fai <2500 <="" li="">
    • moy 2500-5000
    • for >5000
20. virecre: "Credit transfer amount" a factor with levels
    • for >10000
    • moy 10000-5000
    • fai <5000 <="" li="">
    • nul aucun
21. 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, scannf = FALSE, nf = 3)
apply(banque.acm$cr, 2, mean)
banque.acm$eig[1:banque.acm$nf] # the same thing

if(adegraphicsLoaded()) {
  g <- s.arrow(banque.acm$c1, plabels.cex = 0.75)
} else {
  s.arrow(banque.acm$c1, clab = 0.75)
}