![]() ![]() Tableau natively connects to file-based and cloud-based data resources, many databases, and Excel files.It is mobile-friendly, supports real-time dashboard updates, and can manage complex data.Tableau provides multi-factor authentication and Row Level Security.Users can download reports as a PDF or export them to Google Sheets.It supports data blending and drill-down analyses.Google Data Studio provides automated real-time dashboard updates.It provides password-enabled shared access to secure data reports.Since Google Data Studio is entirely cloud-based, there are no hardware requirements or on-site installations.Its less steep learning curve means rapid setup and deployment.Google Data Studio’s data connectors make data access easy.Multiple users can work on the same data visualization.In addition, it provides support for most of its data formats. It works best with Google's offerings (e.g., software, tools, and systems), including BigQuery, Firebase, and Google Analytics.Let’s break down each tool’s features, beginning with Google Data Studio. So, let’s move on to their features and see if we can pick a winner. Besides the cloud-based data sources, it also supports popular on-premises data sources like MySQL.īottom line, both Google Data Studio and Tableau provide visually appealing dashboards with superb, rich graphics and are great for ingesting, manipulating, and processing data. In addition, Google Data Studio inherits the sharing abilities of common Google products, so it facilitate sharing the reports and dashboards with other users. Since it's a Google tool, it offers total support for most Google offerings such as Google Analytics, Firebase, and Google BigQuery. What Is Google Data Studio?ĭata Studio is an open-source, cloud-based data reporting tool characterized by a user-friendly design that makes it simple to create customized dashboards and reports. In addition, Tableau supports data transformation via its build-in module called Tableau prep, bundled with the creator license. It provides connectors for many data sources like Microsoft Excel, Google BigQuery, Snowflake, SAP HANA, SQL Server, Salesforce, Splunk, and Amazon Redshift and supports live connections for most of them. It creates custom dashboards and is excellent for conducting deeper exploratory data analysis. Tableau began life as a desktop app but has now expanded into a cloud-based hosted resource as well. So, data visualization tools like Tableau and Google Data Studio are Business Intelligence resources that help data analysts and marketers use data visualization to interpret data and put it to eventual good use. By using visual elements like charts, graphs, and maps, data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data.”ĭata visualization comes in many forms, such as: I already tried putting the "User * 0.79" and "User * 0.21" in custom metrics but this won't work aswell.According to the Tableau website, data visualization is defined as “… Data visualization is the graphical representation of information and data. So I guess the problem is that the statement won't work with a combination of metrics and dimensions. the ratio won't change a lot but the user value in relation to the date we want to set on the Data Studio Report. If I use absolute numbers for the statement it works.īut we need the statement "User * ration". Invalid formula - Invalid input expression. WHEN (Version = "Plus") THEN SUM(User) * 0.79 WHEN (Version = "light") THEN SUM(User) * 0.21 So I build another calculated field called UsersbyVersion with following statement: CASE But remember we can't get the absolute value of Users by Version, we just know the ratio (80-20). So the simple custom calculated field should be "total events / users". So the measurement should be the relative frequency. So in a pivot table there is the row dimension = Version and the column Dimension = event category. Now we want to know how the relative frequency of events triggered grouped by Version and event category. We can't get the exact data how many users are plus or light users.īut we know how many events are triggered by version (plus/light). "Version" (Plus, Light in a ratio 79:21 from all Unique User).
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