GOOGLE ANALYTICS DATA STUDIO TEMPLATES FREE AND STANDS
GOOGLE ANALYTICS DATA STUDIO TEMPLATES HOW TO BUILD BEAUTIFUL

Google Analytics Data Studio Templates Free And Stands

The template also provides tips to help you get the most out of.Check out my course: Build Dashboards with Google Sheets and Data StudioThanks to Google Data Studio, we can now communicate and act on the customized data. Plenty of ready-to-use dashboards, free templates, and how-to tutorials.This 5 page Google Data Studio template helps you visualize your Google Analytics Goals. Familiar instant sharing options as in other Google products. Unlimited number of graph and chart widgets in one dashboard with simple drag-and-drop building. Data Studio is free and stands a foot taller than other free visualization tools.

Google Analytics Data Studio Templates How To Build Beautiful

TheyвЂ™re useful and simple to implement in Data Studio.You might use pages to drill-down in your data, starting with an overall summary sheet and then going into more specific details in subsequent sheets.There are two menus for workings with pages, one in the main toolbar:And one in the page control widget in top-left corner of your dashboard:The toolbar menu is more extensive but both allow you to navigate through your pages and add new ones. Google Data Studio Example ReportsHere are two example reports for a mid-size website (~500k pageviews a month).And second, a social media referral dashboard:ItвЂ™s only in beta version at the moment and new features and customization options get added pretty rapidly, so it will be interesting to see where Google take this product.I wrote an introduction to the tool earlier this year, so thatвЂ™s a good place to start if you want to find out more about it.If youвЂ™re interested in a really deep dive into this tool check out my new, online course all about building beautiful, informative dashboards with Google Sheets and Data Studio.вЂ“ Learn how to build beautiful, interactive dashboards in my online course.вЂ“ 9+ hours of video content, lifetime access and copies of all the finished dashboard templates.Learn more 6 advanced tips for working with Google Data StudioIn this post IвЂ™m going to dive a little deeper into the tool and look at 6 techniques to master for creating dashboard reports using this tool:Pages allow you to display multiple dashboard reports in a single Data Studio report. ItвЂ™s a really smart reporting tool for quickly creating powerful, stunning dashboards from multiple Google data sources.ItвЂ™s a great option for small/medium businesses already using Google tools, who want to build bespoke dashboards for that 40,000ft view of their business. Template, click the template you want to use on the Google Data Studio home page.Google launched a new business intelligence tool called Data Studio in May 2016. No more waiting for several, static reports to fill their inbox on Monday morning.Source Code: Import Data to Google Sheets From SQL Server using Python.

You group elements by selecting them all, then right clicking and selecting вЂњGroupвЂќ, or going to the Arrange menu and selecting вЂњGroupвЂќ, or by pressing Command + G, вЊG.Before grouping the top elements, the date filter is applied to both charts. By default the filter will be applied to all the charts, tables and scorecards on your page.What if you donвЂ™t want that behavior? Well, you can restrict a date filter to only work with a single chart, or only specific, selected charts.By grouping chart elements together with the Date Range filter, by highlighting them all at the same time, the filter will only be applied to those grouped elements. The following GIF shows this toggle:This is exactly the same page-level filter I applied when creating the mobile performance dashboard:The Date Range filter is found on the top right position of the main toolbar:And the Date Range filter is the first of those two icons:The Date Range filter is added by selecting that icon and dragging out a shape on your report where you want the date filter to go. This will remove the page-level filter from that specific chart only. The advantage of this page-level approach is that you can apply filters which will then be implemented across all your charts in that page.For exmaple, in this GIF, I add my web data source and then restrict it to only data for the вЂњiPhoneвЂќ by creating a filter on the Mobile Device Model dimension:If you use page-level filters, but then find yourself wanting to add a chart of KPI scorecard on unfiltered data, then you can toggle the вЂњInherit FiltersвЂќ option at the bottom of the current chart options in the sidebar. Adding and filtering data at page levelYou can specify data sources at a page-level, rather than individually for each chart (although thatвЂ™s perfectly acceptable too).

In the example below, IвЂ™ll show you how to add a Filter Control for device category, so that a user can select from Desktop, Tablet and/or Mobile data in the report.Filter Controls are added in the same way as a Date Filter, by selecting the icon and then dragging out the required shape in your report.There are вЂњDataвЂќ and вЂњStyleвЂќ menu options added to the sidebar, as follows:IвЂ™ve added the red numbers to highlight some of the specific features, firstly in the Data menu:1. Adding Filter ControlsThe Filter Control option is the final icon of the main toolbar , the second of the two icons highlighted here:A Filter Control is a control for the user to narrow down the data to be displayed in the charts in the report. The bottom chart remains unchanged even if the filter changes.

IMHO, not something I really want to see in my filter, so IвЂ™ve unchecked this item.4. The Metric to be displayed. In this example, IвЂ™ve chosen вЂњDevice CategoryвЂќ, which will allow a user to select from Desktop, Tablet and/or Mobile data in the report.3. The dimension that is presented to the user as a choice and will narrow down the data showing in your charts and reports. The Dimension of your Control Filter, i.e.

The checkbox to make the Control Filter expandable or not. So desktop comes at the top because that had the highest number of sessions.5. In this case, the options in my filter control will be sorted from highest to lowest, by number of sessions.

Creating calculated fieldsFinally, the most technical tip of the 6. So this could be used for headers and footers, or perhaps an important KPI scorecard that you want shown on each page.To access this option, right-click the element you want to duplicate across pages and select the last option вЂњMake report-levelвЂќ.In the following GIF, the bullet chart is duplicated across all 3 pages:Note: Making a chart element report-level also removes it from being governed by any filters you have on that page. Report-level elements are duplicated across all pages of your report, in the same position on each page. Report-level v Page-level elementsFor reports with multiple pages, any element in your report can be set to be Report-level or Page-level.

вЂњNEWSLETTERвЂќ.For another example of a calculated field, letвЂ™s create a useful KPI that we can display in our dashboard. вЂњnewsletterвЂќ and вЂњNewsletterвЂќ in our original, have now been aggregated together since theyвЂ™re now identical, e.g. The new table looks like this:Looking much more consistent right? Whilst this might not be preferable, this example illustrates a basic calculated field.Notice anything different? There are fewer entries, because previous differences, e.g. Create a new version of the original table, but replace Medium with Upper Medium (the new calculated field). I enter a formula into the Formula input box:Click вЂњCreate FieldвЂќ on the right side and Google will add this new calculated field to the long list of fields in the dataset:Note the little fx next to the name of your calculated field, to show that, well, itвЂ™s a calculate field, based on a formula.Now this field will be available for use in your charts.