R for Statistical Computing and Analysis of Big Data

It’s the industry standard for statistics and data mining, but R can be less than user-friendly. 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—building an interactive dashboard with drop-downs, sliders, and other visual cues takes just minutes. With Tableau, your audience can get the full value of your analysis without handholding, so you can focus on building more impactful models. Learn more about how Tableau and R work together to make data analytics easier, more accessible, and easier to communicate by viewing the workbooks, customer stories, and white papers below.

R as a powerhouse for business intelligence and Big Data analytics

R has been around a while and few can argue its ability to make easy work of Big Data queries. The R programming language is a key player in enterprise pursuits of leveraging Big Data for business intelligence analysis. One challenge that arises in this type of deployment is that R is a tool which is intended to be used by trained personnel with familiarity of R or the Python programming language. Tableau reduces the need for an entire department comprised of these specialists by making the data which R leverages accessible without the user needing to be able to write code. It allows users to access and ask their own questions of the data, surfacing new data discoveries within the data uncovered by R.

Additionally, Tableau's visual analytics interface makes analysis simpler and communication of findings virtually effortless. Ad hoc analysis and per-user contexts are suddenly available when R is no longer limited by the users' knowledge or lack thereof. All you need is a question to ask the data. After that, exploration through complex data becomes virtually effortless.

Do more with Big Data and Tableau

Pair R with other Big Data technologies- including Tableau

Big Data

How does Tableau handle the complexities of Big Data and what value does it add to organizations already leveraging a Big Data technology stack?


Hadoop is a leading tool in the Big Data field. Find out how Tableau enhances the power of Hadoop and see how our customers are using it to power faster analytics and drive data discovery throughout their organizations.


Big data can provide insight, but combining that data with (and comparing against) other data sources can create even greater opportunity for data discovery. Alteryx specializes in data blending and data prep.