Estadísticas descriptivas

library(ggplot2)
str(iris)
## 'data.frame':    150 obs. of  5 variables:
##  $ Sepal.Length: num  5.1 4.9 4.7 4.6 5 5.4 4.6 5 4.4 4.9 ...
##  $ Sepal.Width : num  3.5 3 3.2 3.1 3.6 3.9 3.4 3.4 2.9 3.1 ...
##  $ Petal.Length: num  1.4 1.4 1.3 1.5 1.4 1.7 1.4 1.5 1.4 1.5 ...
##  $ Petal.Width : num  0.2 0.2 0.2 0.2 0.2 0.4 0.3 0.2 0.2 0.1 ...
##  $ Species     : Factor w/ 3 levels "setosa","versicolor",..: 1 1 1 1 1 1 1 1 1 1 ...
#Diagrama de dispersión
grafica <- ggplot (iris, aes(Sepal.Length, Sepal.Width, color=Species))
grafica <- grafica + geom_point()
grafica

#Caja de bigotes
grafica <- ggplot (iris, aes(Sepal.Length, Sepal.Width, color=Species))
grafica <- grafica + geom_boxplot()
grafica <- grafica + geom_point(alpha=0.3)
grafica <- grafica + facet_grid(.~Species)
grafica

library(GGally)
## Registered S3 method overwritten by 'GGally':
##   method from   
##   +.gg   ggplot2
grafica <- ggparcoord(iris, columns = c(1:4), groupColumn = "Species", order = c(3,4,1,2))
grafica

(C)Dayana Castro Maestría en Análisis de datos e Inteligencia de negocios UNIVALLE