We have seen how R can be integrated to your data science project using Power BI or Visual Studio(RTVS). Now its time to look at R integration with Tableau.
Before we get started with the steps, let us discuss how this is beneficial.
Tableau is a great visualization tool which helps you to understand your data, provide interactivity and assist in making business decisions. R integration is going to bring the capabilities of to your Tableau visualizations – such as statistical functions predictive analysis. The advantage of interactive visualizations in Tableau powered by the complex statistical analysis behind the scenes using R presents a strong case for data scientists to go for this integration.
I have added a high level representation below of this implementation. You can call R functions from Tableau and it passes the result back to Tableau which can be used to generate visualizations. You can utilize all packages (difficult to accomplish using Tableau scripting alone) that are running in R Server and generate visualizations using the resultant data (complex to accomplish using R alone).
As first step, make sure that RServe is running as a service that you can connect to. The screenshots below shows how to install RServe from RStudio.
Start the service
Now RServe is ready for connections. Go to Tableau and choose the option Help–> Settings and Performance–>Manage External Service Connection
In this case, my RServe is running on the same PC. So I selected localhost as server. Default RServe port is 6311. Leave that as is and test your connection as below
Above message confirms that you have established the connectivity with R service.
Next, we will look at an example calling R scripts from Tableau.