wd<-getwd()
cars_data<-read.csv("cars_data.csv")
View(cars_data)
str(cars_data)
## 'data.frame':    32 obs. of  12 variables:
##  $ X   : chr  "Mazda RX4" "Mazda RX4 Wag" "Datsun 710" "Hornet 4 Drive" ...
##  $ mpg : num  21 21 22.8 21.4 18.7 18.1 14.3 24.4 22.8 19.2 ...
##  $ cyl : int  6 6 4 6 8 6 8 4 4 6 ...
##  $ disp: num  160 160 108 258 360 ...
##  $ hp  : int  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  : int  0 0 1 1 0 1 0 1 1 1 ...
##  $ am  : int  1 1 1 0 0 0 0 0 0 0 ...
##  $ gear: int  4 4 4 3 3 3 3 4 4 4 ...
##  $ carb: int  4 4 1 1 2 1 4 2 2 4 ...
###3) What is the average (mean()) mpg for all cars?
mean(cars_data$mpg)
## [1] 20.09062
###4)What is the minimum mpg for all cars?
min(cars_data$mpg)
## [1] 10.4
###5) What is the maximum mpg for all cars?
max(cars_data$mpg)
## [1] 33.9
###6) How many cars are there in the dataset? (Hint: length() of mpg)
length(cars_data$mpg)
## [1] 32