It has been said that data is the new oil, but like oil it can exist in a raw petroleum state. To transform data into insight an analyst will leverage filters, segmentation, calculation and visualization. After all of that effort, when hours of work have been invested and there is a finalized data set there, is still the need to format the presentation. Google Data Studio is an excellent tool that can be used to shrink the analytics process and make quick, beautiful, interactive dashboards with minimal effort.
Regular Expressions (also known as Regex in Google Analytics and Tag Manager) can help save time and include/ exclude data from your reports.
Regex is now supported in Google Data Studio. However, there are few changes to Regex that classifies it as RE2. RE2 was designed to be faster and more secure.
In this post I will provide you with a few Regex examples that we have created for Google Data Studio and a few differences we have noticed when compared to regular Regex.
When creating a dashboard within Google Analytics you have the option of adding widgets and graphs to visualize your data. Although dashboards in Google Analytics can be very helpful, they don’t always render with as much excitement as in Google Data Studio.
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