Clustering in Tableau

Tableau's power has always been its user-focused flexibility, and working with the user in order to achieve insights at the speed of thought. Tableau's clustering functionality continues the tradition of putting the user front-and-center of the analytics process. So, for example, Tableau allows us to quickly customize geographical areas, for example, which in turn can yield new insights and patterns held within the groups.

Tableau 10.0 comes with k-means clustering as a built-in function. K-means is a popular clustering algorithm that is useful, easy to implement, and it can be faster than some other clustering methods, particularly in the case of big datasets.

We can see the data being grouped, or clustered, around centers. ...

Get Advanced Analytics with R and Tableau now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.