e$)$ Create a pivot table and generate a column chart that displays the aging schedule of accounts receivable for: Calgary $($YYC$),$ Edmonton $($YEG$),$ Lethbridge $($YQL$),$ Fort MCMurray $($YMM$),$ and Grand Prairie $($YQU$).$

$\backslash$table$[[$Row Labels grad,Count of Customer name,Sum of Total,Sum of $0-3,50$ Days,Sum of $61-90$ Days,Sum of $91-120$ days,Sum of $>120$ days$],[$YEG$,4,51647,47261,4386,,,],[$YMM$,14,163389,96561,41021\mathrm{.}4,12098\mathrm{.}6,,13708],[$YQL$,16,203402,136877\mathrm{.}2,29605\mathrm{.}8,3262,6524,27133],[$YQU$,15,180495,122111\mathrm{.}2,24136\mathrm{.}6,21778\mathrm{.}2,10640,1829],[$YYC$,11,143977,95123\mathrm{.}6,1578\mathrm{.}4,9874,37401,],[$Grand Total,$60,742910,497934,100728\mathrm{.}2,47012\mathrm{.}8,54565,42670]]$

f$)$ What insights can be obtained from analyzing the above pivot table column chart of aging accounts receivable by city that could help Sarah in making informed decisions about her business operations, assessing the effectiveness of the company's credit policies, and developing strategies to improve collections? How can this information help identify which cities are causing cash flow problems, and what appropriate steps can be taken to address those issues? How can Sarah use this information to improve her decision$-$making process and steer her company towards long$-$term financial stability?