Requirements:

$1.$ Your function should work $**$whenever $`$m$\_$rows$*$m$\_$cols$`$ is equal to the total number of groups.$**$ Your function should first check that this is the case, and raise an informative $`$ValueError$`$ if not. You may assume that there is at least one data point for each group label in the data supplied.

$2.$ For full credit, you should not loop over the individual entries of $`$groups$`$ or $`$data$`.$ It is acceptable to loop over the distinct values of $`$groups$`.$ In general, aim to minimize $`$for$`-$loops and maximize use of $`$numpy$`$ indexing.

$2.$ Use of $`$pandas$`$ is acceptable but unnecessary, and is unlikely to make your solution significantly simpler.

$2.$ You should include a horizontal axis label $($of your choice$)$ along $**$only the bottom row$**$ of axes.

$3.$ You should include a vertical axis label $($e$.$g$.$ "Frequency"$)$ along $**$only the leftmost column of axes.$**$

$4.$ Each axis should have an axis title of the form "Group X$",$ as shown above.

$5.$ Comments and docstrings!

### Hints

$-$ If your plots look "squished," then $`$plt$.$tight$\_$layout$()`$ is sometimes helpful. Just call it after constructing your figure, with no arguments.

$-$ Integer division $`$i $//$ j$`$ and remainders $`$i $\%$ j$`$ are helpful here, although other solutions are also possible.