Table of Factors
banque
gives the results of a bank survey onto 810 customers.
data(banque)
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 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
anonymous
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) }
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