R is a popular open-source environment for statistical analysis. Tableau can now connect to R through calculated fields and take advantage of R functions, libraries, packages and even saved models. These calculations dynamically invoke the R engine and pass values to R via the Rserve package, and are returned back to Tableau.
- Sentiment analysis
- Prescriptive analytics
- Decision trees
- Statistical testing
- Time-series analysis
- What-if analysis
- Tableau makes it faster and easier to identify patterns and build practical models using R.
- Tableau helps you make sense of your data with the ability to slice, filter, and aggregate it with a few clicks—so you can optimize your models before writing a line of code.
- Communicating your findings is easy—build an interactive dashboard with drop-downs, sliders, and other visual cues in minutes.
- With Tableau, your audience can get the full value of your analysis without handholding, so you can focus on building more impactful models. Keep reading to see how Tableau changes R analytics.