Okay. Now it's time to take a look at the Google Data Studio UI, and see one of the particular ways using Google Data Studio that you can visualize all these insights that we've been talking about. What you are looking at here is the Data Studio home screen. Here is where you can see the reports you created previously, and you can add and create new reports, or copy existing reports and use them as a starting source. Next up, once you have your blank report, you need to populate it with data. In order to get that data, much like when we are ingesting data into BigQuery, you need to select which data sources are going to populate your data tables inside of Data Studio. And naturally BigQuery is a popular source here for this course, but there's many other connections that you can reach out to as part of Google Data Studio. Speaking of those connections, things like directly pulling information from Google Sheets, any of the Google Cloud Platform big data products, and directly from SQL sources, direct file uploads, and things like Google Analytics, or any of the AdWords platforms as well. All that are supported connections to Google Data Studio. And the ones we're going to be focusing on today are largely just going to be Google BigQuery connections and passing in custom queries. So, once you selected the data source that you want to build visualizations off of, you do what's called adding that data source to that report. After that data source is available, now is where you can actually click and draw. So, the mantra here is not drag and drop. You mean clicking on a chart type, and then drawing it onto the blank canvas that you have. And you'll notice over there on the right side, that panel, you see our friends the dimensions, and the measures. Here they're called metrics. So, that's where you actually can specify your dependent and independent variables, as well as edit the data source if you want to change that up as well. We'll be spending a lot of time in here in both the demo and in the lab that you're going to perform. One of the things that you don't want to forget to do is give your report a descriptive name, and then you could also share that with others, so that can help you collaborate to find those insights. Now, one of the very useful features of Google Data Studio is this viewing toggle. What that allows you to do is step into the eyes of the viewer, or the user, and see what that visualization you've created looks like to them. So, lit a room, remove things like your editing panel, and it will show exactly as the visualization is going to display in either Google's Data Studio dashboard, or if you embed that as part of a web page for users to access. And it could look something like this. Now naturally users, unless you grant them permission, cannot directly edit your reports, but they can interact with elements like filters, and hover over charts to get drill down information on that data.
