Exercise $3$

We're now going to explore the most common data structures deployed in R$,$ dataframes. In this exercise, we will create a dataframe from the vectors we

generated above and perform operations on our dataframe.

Q$1.$ Create a dataframe called class$\_$df using the vectors you created in Exercise $2.$ Your dataframe should have two columns and six rows. Don't

change the column names $($i$.$e$.$ keep them as names and grades$).$

In $[]$: M # Write your code here. Be careful to follow the instructions!

In $[]$: M # Just$-$in$-$time check!

# Run this cell, if it fails, you likely have a mistake above. You will be marked on whether the full answer is

expect$\_$true$($is$.$data.frame$($class$\_$df$))$

rbind $(...)$ and cbind$(...)$

The rbind$()$ and cbind$()$ functions takes a sequence of arguments and combines them by rows or columns respectively.

It's a convenient way of adding rows or columns to a data frame.

More information on this function can be found here.

Q$2.$ Add a new entry to your dataframe for a student named Joan who received a grade of $92.$ Your new dataframe should still be called class df