Compute and report the characteristics of the affinity$-$based segment for Product $3$

$($our candidate as given above$).$ Report the characteristics in terms of the following

descriptors: IPr, Iin, ICp, ICl, ICn, IBr, I$*$pPr$30,$ I$*$pPr$10,$ I$*$pPr$05,$ I$*$pIn$0\mathrm{.}5,$ I$*$pIn$1,$

I$*$pIn$3,$ I$*$pCp$12,$ I$*$pCp$20,$ I$*$pCp$32,$ I$*$pClD$,$ I$*$pClF$,$ I$*$pClE$,$ I$*$pCnSl$,$ I$*$pCnSp$,$

I$*$pCnLk$,$ I$*$pBrA$,$ I$*$pBrB$,$ I$*$pBrC$,$ and the demographics income, age, sports and

gradschl. For this you need to compute the weighted average of all the columns in the

"for$-$cluster$-$analysis" worksheet, weighted by the probabilities given in column BF of

the "mugs$-$full" worksheet. You should not do this in Excel directly. You are to load

the data into python or R and compute the weighted averages in R or python; this is to

help you build familiarity with these languages and prepare you better for your job.