 So this particular view, I don't like a whole lot, it's, it's fine. You can see the vertical, you can see the horizontal, I'll explain what those mean when we start reading the report. But you can change it. I prefer the crosstab view. I find this a little easier to read. So let's talk about how to read this crosstab. So this first column is the total. The total number basically of the base, and in this case it is adults above the ages of 18 in the U.S. in 2018. These break down into sample, that's the number of people that took part in this sample. That means the number of people that took part in the survey that Simmons conducted. So weighted is the number, the projected number of people that your two categories, that are projected to be in your two categories. In this case it's the total number of adults of 18 plus. And you'll see it says 000 after weighted. That means this is not 243,000, but 243.2 million. And then there is the vertical, the horizontal and the index. And I will get into how to read those. So if we look at female and male, there are 13, let's see, just over 13,000 women that took part in this survey, just over 10,000 men. Looking at weighted, this is the total number of women above the ages of 18 because we are still looking at total. In the U.S., same thing for down here for men. But let's talk about what that means when it comes to our specific product and how we read that. The vertical and the horizontal. The vertical is the number that you read when you read down. The horizontal is the number that you read when you read across. So when we read down, of all those who drink five hour energy drink, 33.9% of them are women above the age of 18. And if we look at the women, of all the women, and in this case we're going to be reading the horizontal number, of all the women, of all women above the ages of 18, 1.4% of them drink five hour energy drink. So these numbers, so what you do, and then the index is 66. If an index is below 100, they are less likely to do something but is above 100, they are more likely to do something. So if we look at this, the index is 66, so we subtract that from 100. So that is, what is that? That's 44, is that right? 66, 44% less likely, women are 44% less likely to drink five hour energy drink than the average. Now if we look at the men, we're going to do the same thing. Of those that drink five hour energy drink, for the horizontal number, 66.1% of them are men above the ages of 18. Of all the men above the ages of 18, 2.9% of them drink five hour energy drink. Now the index here is 137. That means that men are 37% more likely than the average to drink five hour energy drink. And if we scroll across and look at some of the other numbers, you can see how this plays out. Now Simmons does include kind of a color coding which gives you kind of a quick overview and can show some trends before you get into the numbers. They also show these arrows to indicate if a group is like, is kind of trending low or trending high. One thing to note, if you do see the asterisks, you'll see down here that data, it gives you all the information to use this data with caution. It could be unstable. Often that means that they simply use, it was a smaller sample. That could be indicative of there just aren't that many people who are using a particular product or doing a specific activity. It could just mean that that was a smaller sample. Essentially it's saying you may need some information to back this up. So looking at this, this is telling me that in general, men drink more energy drinks. I can see that by the arrows that are pointing up and down. I can also see that by the specific numbers. This is a report that I can save. So when I'm done with this report, I can do a couple of things. I can actually continue to edit it and alter it and then run, if I want to do that. This can be useful if you've developed a fairly complex search or complex cross tab, or you can save it. When you're reading this report, you'll see it does get kind of clunky with the longer names. You can edit these, which can be really useful. So in this case, I can change this just to five hour energy drink or five hour. It can also name this. I'm naming it energy drink. Yes, those are my initials. And I can save it one thing to be aware of. If you save this, it will save it to the Western Washington University account. What that means is whenever anybody comes into Simmons, and they go to open cross tab, they can see your specific report. Because reports can be altered by anyone who has access to this account, I wouldn't recommend saving it on here and assuming it's going to be the same when you come back in. What I would recommend doing, or kind of the best practice when handling this, is when you have a report, and it's where you want it to be, go ahead and export it. You can't export it as an Excel. This can be really useful if you're trying, if you want to manipulate the data on your own or in Excel. This can also be really useful if you were looking at a pretty big report. Also for presenting data to other people, you know, that type of thing. You can also export to an SPC. Exporting to an SPC is what allows you to re-import that data. Exporting to an SPC file is what allows you to re-import this data back into Simmons. So exporting to Excel is something that you can do. When you open up that report, this gives you an idea of what it's going to look like. Exporting to an SPC allows you to re-import that data. So what I'm going to do, since I exported this, what I'm going to go in here and just delete this file. That's the one that I created. Yes. And then if I log out again, I can re-import this SPC. I'm not going to log out. I'm just going to show you, click on import SPC. I go to this particular file where it reminds me to run it, and then I go ahead and run it again. Running it again, just make sure that it's running from fresh data. And then if I want to continue to edit this, I can do so. So this is a quick overview on how to create and read a cross tab. If you have any questions, please don't hesitate to contact me. Thanks.