 Okay, so now we're ready to feed our revised data back into the ggplot functions. So this one is called percent wall type. Use the ggplot function. Here we're going to set the x value the village, the y value two percent. Okay, so in the previous case remember this was set to a default. Whenever we created a bar plot and it was just returning the count, but now we're actually interested in specifying our y variable as this new percent field. We want to use the respondent wall type as the fill. That was a plus sign. Here we're going to use a new argument called identity. Sorry, the argument is actually stat. Stat you can see here is overriding the default connection between gmbar and stat count. So if you remember the default function of the gmbar function was to use the count as the default y. So what stat is doing is allowing us to actually specify the value that we want for y. We put this in notation marks. And again we want to set position to dodge to get inside by side. All right, when you run that we can see now that we have these different kind of groupings of bars organized by village. On our y axis now we have instead of the count we have it represented as a percentage. Now we should feel a bit more comfortable with kind of the fundamentals of ggplot objects. Now we're going to get into some of the more granular details about how to customize things like the labels, the headings, the actual titles of the graph, and that sort of thing. So we'll call this new section labels. And the first thing that we're going to do is copy our code block from above. So we want to preserve the same ggplot object. And then we're going to add all of our labels just as a third line of code. And this code is all going to fall under the kind of broad heading of labs or short for labels. And within the labs function we can specify what we want our title to be. We're going to call this one proportion of wall type by village. Just for formatting and readability, I'm going to start a new line here. I'm going to say that I want my x axis label to be village with a capital V by axis label to be percent. That was called percentage with a capital. Okay, so now we have our titles. If we want to further after we've seen it, maybe we decide that we want to change all of this to capitalized. We can do that with those changes. Everything is pretty quick from this point. It just takes these really kind of small localized changes here in the code to fix that.