 So the first thing that we're going to do now that we've created a new project is to create a new script file. Go back to file and under new file choose our script. This will open up a fourth window in your environment. And this is just basically a text file that stores our code. This basically does what the console does allows you to execute our script, but also allows you to include documentation and save the file for reproduction later. So the first thing that we're going to do, we're actually start using some R code here. And the first thing that we're going to do is set up our working directory and our working directory works just like a folder structure on your desktop. Typically when you're starting a new project, you're going to want to save all of your files and places where you can relocate them later. You're going to want to keep different data objects separate. So this is why we're going to go ahead and set this up. And as we're doing this, I'm going to introduce you to one of the features of the script files, which is documentation. A hashtag is not read by R. It's basically just ignored. So this allows us to write notes to ourselves that won't interfere with actually running the script. And I'm going to use this for the purpose of just keeping track of what we're doing. And then later on we can understand why we took the steps that we did. So right here, actually, we'll call this setting up our working directory. Okay. And the first command within R that I'm going to introduce you to is something called GitWD. So if you go ahead and type in GitWD, this stands for Git Working Directory and followed by parentheses. And if you're using a Windows machine, you can, at the end of this line, type control enter. And as you do that, you'll see the output come up in the console. So this is telling you the location of my working directory, which in this case is my user's folder under the documents. Okay. And if you wanted to change the location of your working directory, you can do that either with code with a separate command called setWD, which stands for Set Working Directory, in which case within quotation marks, you could just insert the location, the extension of that location that you want to store your files. You can all do this manually as well, using these three dots here on the bottom right window. And this allows you to just basically navigate through your computer's folder structure and manually choose the folder that you want to save your files in. In this case, I've already got it in my documents folder under the introduction to our project folder. And so I'm going to go ahead and keep that, but this will allow you to set it manually if you have a different preferred location for these files. So the next thing that we're going to do is create the actual folders within our project folder to store our data and also any of the other kinds of interim products that we're creating in the context of the session. So to do that, we're going to use another function, which is called dir create. This just stands for directory create, followed by parentheses. And within quotation marks, you're going to give the name of the folder. So I'm going to call this when data, and this is going to be used to store any of the raw data sets that I'm using in this session. Again, control enter on a Windows machine or Apple enter on a Mac. We'll execute that. And as we do within our folder structure in the bottom right window, you'll now see our new data file folder created. We're now going to repeat that same process for some of the other data or sorry, the other folders that we want to store here. The next one we're going to create is called data output. And this is where we're just going to save any of the edited or changed versions of those data. We want to keep those things separate so we're not accidentally corrupting our raw data or getting any kind of things mixed up. I want to make sure to keep those different data sets in different folders. Again, as you execute that command, that data folder is going to show up in your window. The last one that we're going to create is called fig output. This is where we're going to store any kind of figures. And again, that appears in our bottom right window. And again, that appears in our bottom right window.