Table of Factors

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

   • 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 4000-12000

   • 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

    • nul nulle

11. eparliv: "Savings bank amount" a factor with levels

    • for > 20000

    • fai >0 and <20000

    • 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

    • 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

    • moy >1000

18. prelfin: "Financial institution deductions" a factor with levels

    • nul none

    • fai <1000

    • moy >1000

19. viredeb: "Debit transfer amount" a factor with levels

    • nul none

    • fai <2500

    • moy 2500-5000

    • for >5000

20. virecre: "Credit transfer amount" a factor with levels

    • for >10000

    • moy 10000-5000

    • fai <5000

    • 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$cr, 2, mean)
#>        RS1        RS2        RS3 
#> 0.17346599 0.11838319 0.09825814 
banque.acm$eig[1:banque.acm$nf] # the same thing
#> [1] 0.17346599 0.11838319 0.09825814

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