data(iris)
summary(iris)
##   Sepal.Length    Sepal.Width     Petal.Length    Petal.Width   
##  Min.   :4.300   Min.   :2.000   Min.   :1.000   Min.   :0.100  
##  1st Qu.:5.100   1st Qu.:2.800   1st Qu.:1.600   1st Qu.:0.300  
##  Median :5.800   Median :3.000   Median :4.350   Median :1.300  
##  Mean   :5.843   Mean   :3.057   Mean   :3.758   Mean   :1.199  
##  3rd Qu.:6.400   3rd Qu.:3.300   3rd Qu.:5.100   3rd Qu.:1.800  
##  Max.   :7.900   Max.   :4.400   Max.   :6.900   Max.   :2.500  
##        Species  
##  setosa    :50  
##  versicolor:50  
##  virginica :50  
##                 
##                 
##

Interpretación

En la anterior tabla se presentan las estadísticas descroptivas, del conjunto de datos iris, donde se observan 50 muestras por cada especie.

Histogramas

library(ggplot2)
ggplot(iris, aes(x=Sepal.Length))+geom_histogram(fill="aquamarine")
## `stat_bin()` using `bins = 30`. Pick better value `binwidth`.

ggplot(iris, aes(x=Sepal.Width))+
  geom_histogram(fill="deeppink")
## `stat_bin()` using `bins = 30`. Pick better value `binwidth`.

ggplot(iris, aes(x=Petal.Length))+
  geom_histogram(fill="deepskyblue")
## `stat_bin()` using `bins = 30`. Pick better value `binwidth`.

ggplot(iris, aes(x=Petal.Width))+
  geom_histogram(fill="hotpink")
## `stat_bin()` using `bins = 30`. Pick better value `binwidth`.

Panel Grafico

## `stat_bin()` using `bins = 30`. Pick better value `binwidth`.
## `stat_bin()` using `bins = 30`. Pick better value `binwidth`.

Diagrama de Cajas

ggplot(iris, aes(x=Sepal.Length))+
  geom_boxplot(fill="aquamarine")

ggplot(iris, aes(x=Sepal.Width))+
  geom_boxplot(fill="deeppink")

ggplot(iris, aes(x=Petal.Length))+
  geom_boxplot(fill="deepskyblue")

ggplot(iris, aes(x=Petal.Width))+
  geom_boxplot(fill="hotpink")

Diagramas Comparativos

Una Variable numerica y otra cualitativa

ggplot(iris, aes(y=Sepal.Length, x=Species, fill=Species))+
  geom_boxplot()

ggplot(iris, aes(y=Sepal.Width, x=Species, fill=Species))+
  geom_boxplot()

ggplot(iris, aes(y=Petal.Length, x=Species, fill=Species))+
  geom_boxplot()

ggplot(iris, aes(y=Petal.Width, x=Species, fill=Species))+
  geom_boxplot()

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