motorcars <- mtcars
str(motorcars)
## '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 ...
motorcars.fq1 <- table(motorcars$cyl)
motorcars.fq1
##
## 4 6 8
## 11 7 14
barplot(motorcars.fq1 ,
main= "Barplot for 1974 Motor Trend Car Road Cylinder Test" ,
ylab= "Number of Cars" ,
xlab= "Number of Cylinders" ,
col= "#caf0f8" ,
border= "#03045e" ,
space= 0.5 ,
ylim= c(0,20) )
##2. Generate one histogram for one variable of your choice in the mtcars built-in dataset.
motorcars.fq2 <- table(motorcars$gear)
motorcars.fq2
##
## 3 4 5
## 15 12 5
hist(motorcars.fq2 ,
main= "Histogram of 1974 Motor Trend Car Road Gears Test" ,
xlab= "Number of Gears" ,
ylab= "Number of Cars" ,
col= "#00b4d8" ,
border= "#03045e" ,
ylim= c(0,3) ,
labels = T)
##Generate one histogram for one variable of your choice in the mtcars
built-in dataset.
motorcars.fq3 <- table(motorcars$carb)
motorcars.fq3
##
## 1 2 3 4 6 8
## 7 10 3 10 1 1
boxplot(motorcars.fq3,
main= "Boxplot of 1974 Motor Trend Car Road Carburetors Test" ,
ylab= "Number of Carburetors" ,
col= "#03045e" ,
border= "#03045e" ,
ylim= c(0,15) ,
horiz = T)