 So, let's have a look at the packages that we are going to use. Now, when you run Julia Box on your own, you might not have access to all of these. You might have to install them first just depending on where the Julia Box is at the moment. I remind you, all you could do is just say pkg, that's uppercase p.add and then in parentheses and quotation marks there, you're just going to put the name of the data frame in case it is not loaded. Here are all the ones, as I say, load them or add them with pkg.add. If not, you can just run them as is. So, the first one is the data frames. Now, data frames is going to take a comma separated value file, which we have imported into Julia Box onto the Amazon Web Services. It's in the same folder as this Julia file, so I can refer to it directly, but data frames is what's going to take that comma separated values table and it's going to convert it into something that Julia can work with. So, I'm going to execute that cell. It's going to take a while. You see the little star there. It's going to execute those lines of code, which reminds me. Let's just increase the size of the screen a little bit so that we can not get lost in this small type. So, that's executed. We're going to use get fly, as I say, get fly. Very beautiful plots that you can get from a get fly. A really intuitive computer coding language that you use for get fly right in Julia and producing these wonderful plots. See the little star that's running and we wait for it to compile so that we can use get fly as part of Julia. It's executed. We're going to go on to stats base. Stats base part of statistics package that we are going to use to do our statistical analysis in. So, we really want to import that as well. Hypothesis tests that contains the students T test, the main Whitney U test, all the kind of inferential statistics tests that we're going to use in this, depending on what our data looks like. Remember, we're analyzing our data. We can't presume anything. We can't assume anything. We're going to do our analysis. Lastly, distributions. We're going to compare our data to a normal distribution and that's going to help us decide what kind of statistical test to use on our numerical continuous data types. In future lessons or in other lessons, I am going to use, talk about plotly, the use of plotly in grafing, but for the sake of this exercise, this statistical analysis, we're just going to do our plotting in get fly. We've imported all our packages. We are ready to import our data file and start having a look around it.