Q $1\mathrm{.}8-[4]-$ Use pandas $.$ corr $()$ to output

a$)$ the pairwise correlations between every attribute and the original target $($i$.$e$.,$ before transformation$),$ and

b$)$ the pairwise correlations between every attribute and the $log-$transformed target.

For each part, the output of your code should be a table with two columns, one listing the attributes excluding the target $($or transformed target$),$ and the other column being correlation values in an

ascending order.

Once you have the tables, use the mean of the absolute values of the correlations $($per table$)$ as a basis to judge whether it is best to use "LogValue" or "Value" as target.