Power BI Clusters

In this section, we show you how to create Power BI clusters with an example. To explain this Clusters concept, we are going to use the Scatter Chart that we created earlier.

For this Power BI clusters demonstration, we are going to use the SQL Data Source that we created in Connect to SQL Server article and Scatter Chart.

Create Power BI Clusters

Please click on the … (3 dots) on the top right corner of the chart to see the Clusters option. As you can see from the Power BI screenshot below, we selected the Automatically find Clusters option from the menu.

Clicking the Automatically find Clusters option opens the following Clusters window

• Name: Use this text box to rename the default generated clustered name
• Field: Field or Column that you used for Clustering
• Description: Write a meaningful description that describes this cluster.
• Number of Clusters: By default, Auto is selected. However, you can specify any integer value

For this Power BI cluster demo, we are leaving all the default values. So, let me click the OK button

An auto option has generated three clusters

Edit Power BI Clusters

You can edit the cluster in two ways. Under the Visualization tab, click the down arrow beside the Cluster, and select the Edit Cluster option from the menu.

Or, please select the Cluster that you want to edit, and right-click on it opens the context menu. Please select the Edit clusters option from it

Clicking the Edit clusters option opens the following window. Use this window to change as per your requirement.

Let me change the default three to six

Now you can see, it has generated six different clusters

Delete Power BI Clusters

Please select the Cluster that you want to delete. Next, right-click on it and select Delete option from the context menu.

Confirm Delete

Create Manual Power BI Clusters

It is the same as the first example, but this time we are changing the Number of Clusters value from Auto to 5.

and you can see the 5 clusters

Let me use this cluster on another (different) report. For this, we created a Bar Chart using Postal Code Cluster (newly created) and Sales Amount

Like normal columns, you can also Filter Clusters