Introduction To Using R And Tableau - Nu Learn - Medium

Introduction To Using R And Tableau - Nu Learn - Medium: R and Tableau are the most trusted open-source environments to analyze statistics in an organization. Tableau Desktop can now be connected to R via calculated fields, and can be benefitted from R functions, saved models, packages and libraries. These calculations summon the R engine and pass values to R through the Reserve package, which is then returned back to Tableau.

Using Tabadmin, Tableau Server can be easily connected to an instance of Reserve, which allows the user to view a dashboard containing R functionality. By combining both R and Tableau, the user is provided with in-depth statistical analysis, which helps them witness a drag-and-drop visual analytics environment.

What is R?

R is one of the most popular statistical languages, majorly used to perform complicated programming and in-depth statistical analysis, which includes linear and non-linear modeling, time-series analysis, classification, statistical tests, etc. R is majorly used to understand Statistical inference, Data analysis, and Machine learning algorithms.

In order to write R programs, the R console primarily uses a command-line interface. There are numerous GUI tools available online, making it easier for programmers to write R programs. With the R programming language, users can easily create variables, functions, formulas, and analytical graphs.

Benefits of using R

R language is one of the most powerful ways to analyze large scale statistical data. R is an open-source program with new functions and packages that are created all the time, so if you are unable to find a capability initially, you can easily search for a package that can perform or one can also create a package of their own.

However, there are a few limitations to R as well. In order to be flexible enough, R utilizes its own programming language and syntax by leveraging its command-line interface. R does not demand its users to be thorough with the coding skill set in order to utilize its many functions. The proprietary statistics packages mostly have graphical user interfaces, which are user- friendly and do not require programming skills. These solutions are specifically for users who do not require the sophisticated capabilities that are possible with R.

Integration of Tableau with R

Users can utilize R functions and models in Tableau with the creation of new calculated fields, which dynamically summon the R engine and pass values to R via Reserve. The overall results are then returned back to Tableau so that it can be utilized by the Tableau visualization engine.

What R capabilities are not available in Tableau?

⦁ One can only integrate Tableau with R via calculated functions. This states that there are several core capabilities of R that users will not be able to utilize directly in Tableau itself.

⦁ Users will not be able to export data from Tableau into R directly in order to run a new model outside of using the SCRIPT_* functions.

Visualizations that the user creates in R cannot be directly imported into Tableau. However, all the image files of R visualizations or URLs to R visualizations can be utilized in Tableau dashboards. Get exposure to the latest analytical tools and learn from the best faculty in India with Nulearn’s IIM courses.