Clase3

Analisis exploratori

Acontinuación se detalla el histograma con difernte tamaño de muestra y con una base una data aleatoria

#dividir los graficos 2 filas y en cada fila 3 elementos
par(mfrow = c(2,3))

#probamos la data, rnorm da data aleatoria.
a <- rnorm(10,5.8,0.5)
hist(a)

b <- rnorm(100,5.8,0.5)
hist(b)

c <- rnorm(1000,5.8,0.5)
hist(c)

d <- rnorm(10000,5.8,0.5)
hist(d)

e <- rnorm(100000,5.8,0.5)
hist(e)

f <- rnorm(1000000,5.8,0.5)
hist(f)

summary(cars)

##      speed           dist       
##  Min.   : 4.0   Min.   :  2.00  
##  1st Qu.:12.0   1st Qu.: 26.00  
##  Median :15.0   Median : 36.00  
##  Mean   :15.4   Mean   : 42.98  
##  3rd Qu.:19.0   3rd Qu.: 56.00  
##  Max.   :25.0   Max.   :120.00

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