 Once you get to raw, and you click use it now, it brings up a box where you can either paste in data, or you can use sample data. I want to talk about the sample data in this particular video. raw comes with four built in sample data sets. If you click on this link right here, you get a drop down menu, one is called cars, and it's designed to show multivariate data possibilities. The second one is called movies, third is music, and fourth is cocktails. We're going to use these throughout this entire course. And so let me show you a little more about each one. The cars data set, I click on that. The first thing you see is the plain text version of this and that things are separated by commas and it's a little bit messy. One nice thing about rods, you can come right over here. And I see right now we're in the text view, but you can click on table view, you click on that. And then it sets it out nicely in the table with the alternating row bands. And you can even start sorting things. I can sort by economy, some we don't have there, we can get three cylinder cars. Those are actually not three cylinders because those are all road we powered cars. We can go back and click my name and it's a nice way to sort through the data. Now this is one of the larger data sets in rod has 406 cases. And we can use it to show correlations between variables. Another data set is movies. And it's a pretty small data set. It tells us the name of 26 different movies, genre, the production budget in dollars, the total domestic box office earnings, and the ratings that the movie earned on IMDB, the internet movie database. That's all there is to that one. And it's a small data set. But we can use it for certain other demonstrations. Music again is another small data set. Well, it's got almost 500 records. But it's repeated, we have many observations for years starting from 1980 going up to 2010. And we're talking about different ways that people could get music. And what proportion of the market people got their music from during that year. So for instance, you can see that in 1980, LPs and EP's vinyl records accounted for about 60% of the market share. The final data set is cocktails, which has to do with making drinks. And we have the names of the cocktails. And then we have the ingredients that go into them, as well as the parts. So an apple martini will be three parts quattro three parts apple schnapps and so on. And this can be used to show the relationship between categorical variables. And so as we go through all of the other chapters and sections in this course, we'll be relying on these four data sets as ways of demonstrating the kinds of visualizations that are available on raw, and give you an opportunity to play with them and try out different things yourself.