1 llamando mis librerias

library(ggplot2)
library(plotly)
## Warning: package 'plotly' was built under R version 4.4.2
## 
## Adjuntando el paquete: 'plotly'
## The following object is masked from 'package:ggplot2':
## 
##     last_plot
## The following object is masked from 'package:stats':
## 
##     filter
## The following object is masked from 'package:graphics':
## 
##     layout

2 Cargar los datos

data("mtcars")  # dataframe multivariado 
str(mtcars)
## 'data.frame':    32 obs. of  11 variables:
##  $ mpg : num  21 21 22.8 21.4 18.7 18.1 14.3 24.4 22.8 19.2 ...
##  $ cyl : num  6 6 4 6 8 6 8 4 4 6 ...
##  $ disp: num  160 160 108 258 360 ...
##  $ hp  : num  110 110 93 110 175 105 245 62 95 123 ...
##  $ drat: num  3.9 3.9 3.85 3.08 3.15 2.76 3.21 3.69 3.92 3.92 ...
##  $ wt  : num  2.62 2.88 2.32 3.21 3.44 ...
##  $ qsec: num  16.5 17 18.6 19.4 17 ...
##  $ vs  : num  0 0 1 1 0 1 0 1 1 1 ...
##  $ am  : num  1 1 1 0 0 0 0 0 0 0 ...
##  $ gear: num  4 4 4 3 3 3 3 4 4 4 ...
##  $ carb: num  4 4 1 1 2 1 4 2 2 4 ...
attach(mtcars)
## The following object is masked from package:ggplot2:
## 
##     mpg

3 Gráfica de consumo de combustible vs potencia

ggplot(mtcars, aes(x=mpg, y=hp, colour = am)) + geom_point()

4 Grafica de # de Cilindros vs consumo

Analoisis va aqui

grafica <- ggplot(mtcars,aes(x=mpg, y=hp, colour = factor(cyl))) + geom_point(size=3)+ labs(x="millas por galon ", y="potencia en HP") + scale_color_discrete(labels = c("4 cyl", "6 cyl", "8 cyl"))

ggplotly(grafica)

5 Analisis de Variables continuas multivariadas con BoxPlot y plotly

grafica2 <- ggplot(mtcars) + aes(factor(cyl), mpg) + geom_boxplot(fill="#00ff5f")

grafica2

ggplotly(grafica2)

6 Analisis de Variables continuas multivariadas con BoxPlot y jitter

grafica2 + geom_jitter(width = 0.5)

## Analisis de Variables continuas multivariadas con BoxPlot facet

grafica2 + geom_jitter(width = 0.5) + facet_wrap((cyl~am))

7 medida de cuantiles

quantile(mpg)
##     0%    25%    50%    75%   100% 
## 10.400 15.425 19.200 22.800 33.900