Support your data analysis by presenting a box plot to display data for all stores. Add data labels for the boxplot statistics (min, (11, C12, C13, Max, and outliers if present), and the means as red dots on each hex. Follow these steps to obtain yOur graph: 1. Obtain the boxplot.stats(data)$stats for each store, save each value as a new object. I will help you with the firs code: statsl = round(boxplot.stats(MZSalariesS'Store l')$stats,1) With all 20 bOxplotstats, create a matrix named bOxlabels, and use it to display bOxplot statistics on yOur graph using the text() code. Remember that in the text\" code you must specify the location of each group of labels, in this case, since you have 20 boxes, you need to add a vector containing x = cll, 2, 3, etc). You will need to add some decimals otherwise the labels will appear in the center of your boxes. Obtain the mean for each store, save them as new objects. With the 20 mean objects, create a matrix named meanbox and use it to add the mean to each corresponding box using the code pointsl). Remember to use pch= and col: inside pointsl)