load("C:/Users/isabe/Desktop/Base_de_dados-master/CARROS.RData")
CARROS$Tipodecombustivel <- ifelse(CARROS$Tipodecombustivel==0, "Gas", "Alc")
CARROS$TipodeMarcha <- ifelse(CARROS$TipodeMarcha==0, "Automático", "Manual")
tabela <-table(CARROS$Tipodecombustivel)
barplot(tabela)

grafico <- barplot(table(CARROS$Tipodecombustivel),col = "red")
percentual <- prop.table(table(CARROS$Tipodecombustivel))*100
percentual
##
## Alc Gas
## 43.75 56.25
rotulo <- paste0(percentual,"%")
rotulo
## [1] "43.75%" "56.25%"
text(grafico, 0, rotulo,cex=1,pos=3,col = "white")

# Variavel quantitativa
summary(CARROS)
## Kmporlitro Cilindros Preco HP
## Min. :10.40 Min. :4.000 Min. : 71.1 Min. : 52.0
## 1st Qu.:15.43 1st Qu.:4.000 1st Qu.:120.8 1st Qu.: 96.5
## Median :19.20 Median :6.000 Median :196.3 Median :123.0
## Mean :20.09 Mean :6.188 Mean :230.7 Mean :146.7
## 3rd Qu.:22.80 3rd Qu.:8.000 3rd Qu.:326.0 3rd Qu.:180.0
## Max. :33.90 Max. :8.000 Max. :472.0 Max. :335.0
## Amperagem_circ_eletrico Peso RPM Tipodecombustivel
## Min. :2.760 Min. :1.513 Min. :14.50 Length:32
## 1st Qu.:3.080 1st Qu.:2.581 1st Qu.:16.89 Class :character
## Median :3.695 Median :3.325 Median :17.71 Mode :character
## Mean :3.597 Mean :3.217 Mean :17.85
## 3rd Qu.:3.920 3rd Qu.:3.610 3rd Qu.:18.90
## Max. :4.930 Max. :5.424 Max. :22.90
## TipodeMarcha NumdeMarchas NumdeValvulas
## Length:32 Min. :3.000 Min. :1.000
## Class :character 1st Qu.:3.000 1st Qu.:2.000
## Mode :character Median :4.000 Median :2.000
## Mean :3.688 Mean :2.812
## 3rd Qu.:4.000 3rd Qu.:4.000
## Max. :5.000 Max. :8.000
library(readxl)
Familias <- read_excel("C:/Users/isabe/Desktop/Base_de_dados-master/Familias.xls",
sheet = "Dados da pesquisa")
summary(Familias)
## familia local p.a.p instr
## Min. : 1.00 Length:120 Length:120 Length:120
## 1st Qu.: 30.75 Class :character Class :character Class :character
## Median : 60.50 Mode :character Mode :character Mode :character
## Mean : 60.50
## 3rd Qu.: 90.25
## Max. :120.00
##
## tam renda
## Min. :1.000 Min. : 0.10
## 1st Qu.:3.750 1st Qu.: 3.90
## Median :4.000 Median : 5.40
## Mean :4.492 Mean : 6.34
## 3rd Qu.:5.000 3rd Qu.: 8.15
## Max. :9.000 Max. :25.70
## NA's :1
#Histograma
hist(CARROS$Preco,col="blue", main="Gráfico 2- Histograma preço do carro", xlab= "Preço do carro", ylab="Frequência")

hist(CARROS$Kmporlitro,col="lightgreen", main="Histograma", xlab="KM/l do carro", ylab="Frequência")

hist(CARROS$HP,col="pink", main="Histograma", xlab="HP do carro", ylab="Frequência")
