ade4 (version 1.3-3)

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}

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 and <20000 nul nulle } eparliv{: "Savings bank amount" a factor with levels for > 20000 fai >0 and <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)