 to be less than or equal to. So we have the two symbols, and then and, and then the D17, which represents the 57,000. So that formula, although complex looking, gives us our calculation quickly, and then we can copy that formula down, and it will do the same calculation pulling the relative references, this number and this number. In other words, if I go down to here, for example, we have the same formula that we just copied down, and it says table count the same range if it's greater than C23 instead of C17, because it took the relative reference down here. So that's the 67,000, and then comma the table, second condition, less than or equal to D23 instead of D17, and D23 is the 69. So it's saying take anything that's above the 67,000, not, and then up to and including 69,000. So you can see by doing that, we've created our own buckets. So now we've got our buckets in table format. So one, seven, 19, 15, seven, one and one, one, seven, 19, 15, seven, one and one, clearly in table format, even if I understand exactly what's happening, it's not as visually easy to see than when I make it into, of course, the histogram. So here's a histogram that we made with basically the bar charts. So now this one is, you can see, we just basically selected this data here, selected these two datas and made this the x-axis, being this list of numbers, and then you've got our histogram that was created with the bar chart. And you can see if I compare that to the prior histogram, this is just a copy of the histogram we had up top, it's basically the same kind of calculation. Now when you do the bar chart, normally like the, it's not as wide, so these are skinnier oftentimes, but you can customize it and make them wider, eliminating the space in between the bars, if you so choose. And you have a little bit more flexibility with the bars, it's easier to kind of flip the x and y-axis and stuff like that. And again, with the bar charts, if you had a second set of data and you wanna put two kind of histograms on top of each other and try to color them differently and make one color like striped or something like that, so you can see one histogram on top of the other, then those are things that sometimes it's easier to do when you convert the data so that you can make a bar chart out of it. Now note that this whole process up here of making this table, you could make this bit a little bit easier using an array function. So we could do a similar process, let's do it, well let's just reveal this. So this is just the end number. So instead of having the beginning and end of my buckets of these buckets, we just have the end number. So I just said 57,000 plus 2000 is 59,000. I copied that down, 2000, 2000 increase all the way down. And then in order to get my numbers over here, instead of using this more complex formula, we can use an array formula, which is kind of a newer kind of technique which has that spill factor. And this cell we said equals the frequency and then we picked up our table, this refers to the table. And then basically we then referred to our D33 to D47 representing our dataset. And then when you hit enter in the first cell, it'll basically spill out the numbers down below it. So whenever, so if I was to click in any of these numbers below it, it'll be referring to the lead cell, the cell that I basically put the array function in. So these are kind of fancier, newer ways to do it. I still think it's useful to know multiple ways to do it, but really neat, really neat quick ways to be able to put these together and sometimes they can do it a lot faster. But the point is that the histogram and the bar chart are kind of related in some ways. And like I say, it could be useful to actually create your own buckets sometimes and then create your own bar chart type histograms in order to increase the flexibility of what you might be able to do with the histograms.