library(datasets)
head(iris)
## Sepal.Length Sepal.Width Petal.Length Petal.Width Species
## 1 5.1 3.5 1.4 0.2 setosa
## 2 4.9 3.0 1.4 0.2 setosa
## 3 4.7 3.2 1.3 0.2 setosa
## 4 4.6 3.1 1.5 0.2 setosa
## 5 5.0 3.6 1.4 0.2 setosa
## 6 5.4 3.9 1.7 0.4 setosa
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
##
##
##
summary(iris$Species)
## setosa versicolor virginica
## 50 50 50
summary(iris$Sepal.Length)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 4.300 5.100 5.800 5.843 6.400 7.900
summary(iris$Petal.Length)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 1.000 1.600 4.350 3.758 5.100 6.900
hist(iris$Sepal.Length)

hist(iris$Sepal.Width)

hist(iris$Petal.Length)

hist(iris$Petal.Width)

plot(mtcars$wt, mtcars$mpg)

plot(mtcars$wt, mtcars$mpg,
pch = 19, # Solid circle
cex = 1.5, # Make 150% size
col = "#cc0000", # Red
main = "MPG as a Function of Weight of Cars",
xlab = "Weight (in 1000 pounds)",
ylab = "MPG")
