#Lectura de datos#Primera formabanco<-read.table(file.choose(),header=T)#Segunda formabanco<-read.delim("clipboard")banco

#Selección de un subconjuntoSI<-subset(banco,Sucursal=="SanIsidro")

#Calcula la mediamean(banco[1:30,2])#adjunta los datos de banco para poder utilziar sus etiquetasattach(banco)mean(Prestamo[1:30])median(Prestamo[1:30])IQR(Prestamo[1:30])summary(Prestamo[1:30])#Calcula medidas descriptivas para cada sucursalby(Prestamo,Sucursal,summary)quantile(Prestamo,0.6,type=6)by(Prestamo,Sucursal,quantile,0.3)

#ANALISIS DE DATOS EXPLORATORIO#Piramide Poblacional

#Kernelplot(density(banco[1:30,2],kernel="gaussian"))

#Gráfico de probabilidad normalqqnorm(banco[1:30,2],main="Diagrama Cuantil Normal")

#Grafico de Piramideslibrary(plotrix)m.pop=c(3.2,3.5,3.6,3.6,3.5,3.5,3.9,3.7,3.9,3.5,3.2,2.8,2.2,1.8,1.5,1.3,0.7,0.4)f.pop=c(3.2,3.4,3.5,3.5,3.5,3.7,4,3.8,3.9,3.6,3.2,2.5,2,1.7,1.5,1.3,1,0.9)edades=c("0-4","5-9","10-14","15-19","20-24","25-29","30-34","35-39","40-44","45-49","50-54","55-59","60-64","65-69","70-74","75-79","80-44","85+")mcol=color.gradient(c(0,0,0.5,1),c(0,0,0.5,1),c(1,1,0.5,1),18)fcol=color.gradient(c(1,1,0.5,1),c(0.5,0.5,0.5,1),c(0.5,0.5,0.5,1),18)par(mar=pyramid.plot(m.pop,f.pop,labels=edades,top.labels=c("Masculino","Edades","Femenino"),main="Piramide Poblacional de Australia 2002",gap=0.5,show.values=TRUE))par(mar=pyramid.plot(m.pop,f.pop,labels=edades,top.labels=c("Masculino","Edades","Femenino"),main="Piramide Poblacional de Australia 2002",lxcol=mcol,rxcol=fcol,gap=0.5,show.values=TRUE))

library(aplpack)faces(banco[1:5,2:6],face.type=2)stars(banco[1:5,2:6])