#1 load the purr package and calculate the average value for each column

#2 minimum value for each column in the mtcars dataset assign the result to a variable

#3 calculate the average for the lowest 10% of each variable

#4 count the number of entries for each type of cycle

#5 now calculate the mean for the remaining variables in the mpg dataset for each of the groups as defined in problem 4

#6 now solve 1-5 using the collection of apply functions