This is an R HTML document. When you click the Knit HTML button a web page will be generated that includes both content as well as the output of any embedded R code chunks within the document. You can embed an R code chunk like this:

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

You can also embed plots, for example:

plot(cars)
library(ggplot2)
plot of chunk unnamed-chunk-2
boxplot_mpg_cyl <- ggplot(mtcars, aes(x=factor(cyl), y=mpg)) +
  geom_boxplot(fill="green", color="black", alpha=0.7) +
  labs(title="Boxplot del Consumo de Gasolina (mpg) por Número de Cilindros",
       x="Número de Cilindros",
       y="Millas por galón (mpg)") +
  theme_minimal()
print(boxplot_mpg_cyl)
plot of chunk unnamed-chunk-2
# Histograma del consumo de gasolina (mpg)
histograma_mpg <- ggplot(mtcars, aes(x=mpg)) +
  geom_histogram(binwidth=2, fill="blue", color="black", alpha=0.7) +
  labs(title="Histograma del Consumo de Gasolina (mpg)",
       x="Millas por galón (mpg)",
       y="Frecuencia") +
  theme_minimal()
print(histograma_mpg)
plot of chunk unnamed-chunk-2
# Gráfico de dispersión entre el peso (wt) y el consumo de gasolina (mpg)
dispersion_wt_mpg <- ggplot(mtcars, aes(x=wt, y=mpg)) +
  geom_point(color="red", size=3) +
  labs(title="Gráfico de Dispersión: Peso vs. Consumo de Gasolina",
       x="Peso (1000 lbs)",
       y="Millas por galón (mpg)") +
  theme_minimal()
print(dispersion_wt_mpg)
plot of chunk unnamed-chunk-2