Version 2020.4.1 and later: You can create, edit, and run flows that include script steps in Tableau Server.Version 2019.3 and later: You can run published flows that include script steps in Tableau Server.Use the following instructions to configure a connection between your Rserve server and Tableau Server. Rserve for Windows (release notes) (Link opens in a new window): This topic covers limitations when installing Rserve locally on Windows.Ĭonfigure Rserve Server for Tableau Server Install and configure Rserve (Link opens in a new window): Instructions for general installation and configuration for all platforms.Install and configure a connection to R and Rserve for Windows. R Implementation notes (Link opens in a new window) (community post).Download and install the most current version of R for Linux, Mac, or Windows. Download and Install R (Link opens in a new window).To include R script steps in your flow, install R and configure a connection to an Rserve server. To configure Tableau Server, see Configure Rserve Server for Tableau Server. ![]() Running flows with script steps in Tableau Cloud, isn't currently supported. You can run flows that include script steps in Tableau Server as long as you have configured a connection to your Rserve server. After you enter the configuration details and point Tableau Prep Builder to the file and function that you want to use, data is securely passed to the Rserve server, the expressions are applied, and the results are returned as a table (R ame) that you can clean or output as needed. Then you can use R scripts to apply supported functions to data from your flow using R expressions. To include R scripts in your flow, you need to configure a connection between Tableau Prep Builder and an Rserve server. To extend the functionality of Tableau Prep Builder, you can create scripts in R to use in your flow that run through an Rserve server to produce output that you can further work with in your flow.įor example, you might want to add statistical modeling data or forecasting data to the data that you already have in your flow using a script in R, then use the power of Tableau Prep Builder to clean the resulting data set for analysis. R is an open source software programming language and a software environment for statistical computing and graphics. ![]() For the most up-to-date information, please consult the R and Rserve documentation and support. Please note that while we make every effort to keep references to third-party content accurate, the information we provide here might change without notice as R and Rserve changes. Disclaimer: This topic includes information about a third-party product.
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