Tableau 2019.x Cookbook

How it works...

Cluster analysis works by grouping cases (in our example, car models) into clusters based on a complex underlying pattern of scores on multiple measures. When setting up the cluster analysis, we entered all of the measures we wanted the cluster based on into the Clusters window, and Tableau automatically detected the optimal number of clusters. There are many clustering algorithms—the one implemented in Tableau is called k-means.

But this is just the beginning of the analysis. The next step is to interpret the clusters. We can use the Describe Clusters function to aid the interpretation. We'll access it by right-clicking on the Clusters pill in the Marks card and selecting Describe Clusters from the drop-down menu, as shown ...