 Because if you change the size of the buckets, then you can have a big difference in terms of what the data set's gonna look like. And people can use this to glean more information, but they can also use it to be a bit deceptive in how the information is presented possibly, right? So if I say, so over here, if I say the bend width, if I bring the bend width down to say 2,000, I'm lowering the bend width as I hit tab, I would think that the number of bends would increase, right? So I'm gonna say, boom, notice the automatic number of bends down here now went up to 15. So now I've got 15 bends with the 2,000 there. Now notice these outliers are getting more extreme as I make more buckets, right? Because now these outliers are way out here. So you're gonna get like a skinnier looking graph that might kind of really show those outliers specifically, for example, out there. Now, if you don't want those outliers to be so far out, you could have an overflow bucket, for example. You could say, okay, everything that is over, let's say 79,000, I want you to put that in like one bucket. So now I kind of combine those together. So now it's not giving as much emphasis to those outliers. And you can see that might be good in some cases. I can do the same thing for the bottom. I could say, hey, look, I want you to pull in those to like 64,000 or something, right? So now the data's being pulled in, and you can see that you have a whole different looking feel to the data once we start to do that. So you have to be kind of careful with the parameters that you're gonna be putting around your histogram because they can have an influence on what the data's gonna look like, obviously. So if I reset this, we're gonna go back to the resetted format. So there we have those. Let's reset this one as well. Hold on a second, I'm clicking on this. Let's go to this, and then I'll see if I can, this one, I wanna go back to automatic. Let's go back to automatic. And so there we have our automatic. And then I'm gonna just take the overflow bin off completely, untagging the overflows. And so that's basically the default that we were given with the histogram. So usually the default is pretty good with the histogram, but oftentimes you might wanna go in here, and again, the major things that you would be adjusting would be the bin width, and then those basically the overflows. So we'll get into a lot more detail on that in future presentations. For now, I'm just gonna close this out and note that we have some more options up top. So there's multiple ways we can get into different things. So these are the axes. This is the axis title. So if I select this item, it's gonna give us those titles over here that we can add. And because it's a histogram, you might want the chart title. It might be the way to go, because if you were gonna name the axis, these would be like the wage amounts and then the number over here. So it might just be easier to just put like this as wages histogram or something like that. And then we're gonna say the data labels. Oftentimes that's useful to be adding. So now you can see the numbers that were counted up. We'll get to those numbers in a bit more detail on future presentations to get a better idea. We typically aren't gonna need a legend because we only have one item on the histogram. So we don't really need a legend here. So I'm gonna close that. If I select the numbers, note that within the numbers you can change, like I could go to the home tab, for example, and increase the size of the numbers. If we so choose, we could embolden the number, for example. And so we have the formatting for those. So that's the general idea of the histogram that we can compare and contrast to the good old box and whiskers.