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iris %>% group_by(Species) %>% summarise( Min_Petal_Width = min(Petal.Width), Max_Petal_Width = max(Petal.Width) )

aggregate(Petal.Width ~ Species, data = iris, FUN = function(x) c(min = min(x), max = max(x)))

library(dplyr)

mean_sepal <- iris %>% group_by(Species) %>% summarise( Mean_Sepal_Width = mean(Sepal.Width) )

library(ggplot2)

ggplot(mean_sepal, aes(x = Species, y = Mean_Sepal_Width, group = 1)) + geom_line() + geom_point(size = 3) + labs( title = “Trung bình Sepal.Width theo Species”, x = “Species”, y = “Mean Sepal Width” ) + theme_minimal()

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summary(cars)
##      speed           dist       
##  Min.   : 4.0   Min.   :  2.00  
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##  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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