![]() ![]() This is what you should see:īy default, the dimension is “Date” you can change it to any of the time-based dimensions, including “Year” or “Time”, among others. Once it appears in your report, the right side panel will change. This type of chart shows changes over time. ![]() Data Studio makes it easy to compare chart types with handy illustrations.Ĭhoose the first option under “Time Series”. It’s pretty rigid, but not for long!Ĭlick “add a chart” on the toolbar. Click “Create Report” at the top right.ĭata Studio will ask you if you want to add a new data source to the report. We can also do all of these things in the report itself, and it’s much easier. There are many things we could do in this step: add new fields, duplicate existing ones, disable them, change field values, etc. In this menu you will see a list of all the fields in your Analytics account (both standard and those you have added).įeeling overwhelmed? No worries. Click here to learn more about editing fields. If you are creating a report, for example, for a client or an intern, and you want to give them editing permissions without giving up full control of your data, you can disable this option. Leave the option “Edit fields in reports” set to “On”. ![]() To finalize the connection, you have to click “Connect” (top left). It will ask you to authorize the connection, and once that’s done, you’ll need to select an account, property, and view. If you want to follow exactly what I’m doing, connect the Google Analytics demo account for the Google Product Store. In this example, I will connect Analytics however, the process is almost identical for other sources. I recommend starting with Analytics or Search Console. This is where you add data sources (You can also add sources within a report). I’ll comment more about the gallery below. ![]() This is a collection of templates and examples. I don’t know why it’s here I never click on it. If you decide the new graph is valuable, it’s easy to export it back into the report. Since you don’t want to edit the chart in the report, you export it to Labs, where you can modify it as you want. As you look at this chart, you think, “I wonder what I would find if I added the average page load time.” ExplorerĮxplorer is a tool that allows you to experiment or adjust a chart without modifying the report itself.įor example, you have created a table in Data Studio that shows the top landing pages by conversion rate. So if you have three GA views for three different subdomains, you’ll have to set up three different data sources.ĭon’t worry it’s an easy process. If you use Google Analytics and/or Search Console (which I highly recommend), you will have to individually connect each view and property, respectively. There is an option with which you can filter the owner of the report:ĭata sources list all the connections you have created between Data Studio and your original data sources.ĭata Studio currently supports more than 500 data sources. This is where you can access all your reports (equivalent to a workbook in Tableau or Excel). If you’ve used Google Docs, Sheets or Drive before, this dashboard should look pretty familiar. Click on the “Home” tab to see your dashboard. You will arrive at the Data Studio overview page. To log in, you will need a Google account I recommend that you use the same one as your Analytics, Search Console and/or Google Ads account. Once you get comfortable with its features, you can use it to create reports for your clients, coworkers, or management team. Like most Google tools, Data Studio can be difficult to master, but it’s well worth the effort. Finally, we’ll review the advanced options. We’ll start with the basics before moving on to the intermediate functions. In this post I will guide you through the most useful tools in Data Studio. From my point of view, Google Data Studio is a very good option, since it is completely free and accessible to everyone (even if you don’t have data of your own!). But how can we go from having data to understanding, analyzing and visualizing it, knowing that there is a tight budget? There are many visualization tools on the market. And visualizing it? Perhaps this is one of the most valuable skills nowadays. And understanding and analyzing it is a whole different field. ![]()
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