 Hello and welcome back to our videos on how we import data into Google Colab. Here in this video, I'm going to talk about the drag and drop method. And again, a reminder of the terminology. So the bulk of this method is not actually using coding. It's really locating files on your computer and getting them into our files tab. And we've got two main ways we can go about this, but both of them start by clicking the files tab here. And this is what my empty files tab. I don't have my drive. I don't have any files. If I want to drag and drop, I can either bring my binder or my file explorer, find the data on here and just drag it into this white space. And there we can see that it's shown up. We can again copy the path and continue on. Alternatively, if you don't have that sort of access, you can also click this button here, upload to session storage, and it'll pull up your file explorer. And then you can also find this, click open, and it'll show up. So here is where my file is. So now we've got the file in the file explorer, but we still need to read it into Google Colab. So in order to do that, we will once again use the pandas library. So we say import pandas as PD, and then we'll just say DF for data frame. We say PD dot read CSV, open quotes. I'll come over to my three dots, copy the path and paste it in here. If you are noticing any differences between this video and the mount, how you mount your drive video, you'll notice that my file path has changed because when you do the drag and drop method, it just shows up in your primary home folder. Whereas when you mount your drive, you have to navigate through any subfolders that you have. And again, we still need to skip four rows. So then we can run this. We can go over to our variables. And again, we've got our data frame, we can then print this, or we can start to do other analyses with it.