 We're going to go into our charts, we're going to go into that histogram drop-down and we're going to pick this histogram, the standard histogram, boom, and then I can pull it. I can put my cursor in the white space and I can pull it down here. So there's the two general, you know, get a feel of the shape type of tools that we have. If I select the title, I'm going to say, let's get rid of the title for now at least. Moving the title, I'm going to make this a little bit, I'm scrolling down, holding down control, scrolling down a little bit so I can see some more. And then I'm going to make this wider, if I could, alright, alright, something like that. Okay, so there we have it. So the histogram, as you can see here, gives us a pretty nice visualization of basically a center point of the data and then the spread of the data around that center point. We have a similar thing, of course, with the box and whiskers where we have the center point here, the average and the median and then basically the spread around it with the box and of course the whiskers and the outliers. When we look at the histogram, we generally have, you know, the tallest tower here in the middle being, in essence, the center point. And then we can look at the spread of the data around that center point. Now we'll take a look at different histograms in future presentations so we can kind of label the types of histograms. In other words, some histograms might have a bigger center point here and have kind of like a tail that's going out to the right or a tail that's going to the left or we might have like two center points and so on. So knowing what the center point is is important, but we also want to know what that spread is and the histogram is a nice way to do that. So in this case, we can see kind of like the outliers being represented in these buckets on the right-hand side related to the histogram. So once we make the histogram, we have the similar kind of things we had before, creating the histogram pretty straightforward to modify the histogram. If I click off of the histogram, you don't see the modification tools up top. If I click on the histogram, we've got the chart design again where we have the chart elements, access titles and so on. We've got the quick layouts over here. You could change the color, the defaults always that blue, but you could change the color scheme. You can change the whole kind of layout format this way if you so choose. The data, when I select the data, here is our data. If I was to edit the data, you could see the data series where the data series is coming from. I'm going to close that back out, and then let's close this back out. And so then we have the formatting tools on the right in a similar fashion, as we've seen in the box and whisker in a prior chart and prior presentations. So then, of course, there's multiple ways to go into many of the editing items. If I select, for example, the numbers on the left-hand side and I double click on them, they're going to give us the format axis, and I can select the information here. And you could see if I change something like it's going from 0, 5, 10, 15, 20, I could change the minimum, the maximum, and so on. And that could have, of course, an impact on the shape of the histogram, which we might dive into a little bit more in future presentations. The key to the histogram down here is going to be the data at the bottom. These are the buckets, right? So if I look at, if I click on that and I go to the three bars on the right, you've got the buckets that have been putting the data in. So notice it's here, it's on automatic. So the buckets are on automatic. The bin size then is grayed out because it's automatic, but it's 3,400, which created nine bins. So what does that mean? Down here, we've got the buckets that we're going to be putting this stuff in, right? So it's between 55,000 and 58,400, and then from 58,400 to 61,8, and then 61,8 to 65,2, 65,2, and so on and so forth. And we're looking for the information from the data set that fits within these ranges. And so you can see it would be a similar kind of thing as what we did with a bar chart. You might recall in a prior presentation when we counted the words of Hamlet, right? When we, if I was to have a bar chart, if I was to insert a bar chart, insert and use this one, the bar chart is similar in look and feel. The problem with the bar chart is that it can't create the buckets by itself. Usually if you're counting words, you remember that the x-axis had words down here, and then we can count the number of words, and that would be shown pictorially in like a bar chart format. Well, this is kind of like a bar chart. We can actually use the bar chart if we then, if we sorted the data ourselves into buckets, right? If I said how many, you know, how many occurrences happened in our data set between 55 and 58,4, and we'll do that in future presentations just to show you the relationship. And sometimes that can be useful as well, but just note that that's going to be the difference. So these buckets are a differentiating factor. Now the buckets are also quite important.