Q$3$b: describe pandas also has a very helfpul describe method which will provide some helpful summary statistics about your dataframe. Use the describe method to calculate and display these summary statistics $($You do not have to store the output$)$: # YOUR CODE HERE # Use the describe method to calculate and display summary statistics df$.$describe$()$Generate a histogram of the winpercent column with $15$ bins. # Generate a histogram of the 'winpercent' column with $15$ bins f$1=$ df$[\text{'}$winpercent$\text{'}].$hist$($bins$=15)$ # Check if the histogram has data and has $15$ bins assert f$1.$has$\_$data$()$ assert len$($f$1.$patches$)==15$ f$1=$ plt$.$gcf$()$Using the output you just generated in Q$3$b and Q$3$c$,$ answer the following questions, storing the answer in the variable at the front of each question. $($For example, if you thought the answer to the first question was A$,$ you would include win$\_$perc $=\text{'}$A$\text{'}$ in the cell below.$)$ win$\_$perc : What is the highest overall win percentage among the candy included in this dataset? A$)1\mathrm{.}00$ B$)98\mathrm{.}8$ C$)85\mathrm{.}00$ D$)84\mathrm{.}18$ E$)$ Unable to determine fruity : What proportion of the dataset is comprised of fruity candy? A$)0$ B$)0\mathrm{.}45$ C$)0\mathrm{.}50$ D$)85$ E$)$ Unable to determine