Dot Plot by Maq Software

Just as the Impact Bubble Chart supports additional measures, the Dot Plot by Maq Software allows for the visualization of up to four distinct dimension columns. With three Axis fields and a Legend field, a measure can be plotted to a more granular level than any other standard or custom visual currently available to Power BI. Additionally, a rich set of formatting controls are available to customize the Dot Plot's appearance, such as orientation (horizontal or vertical), and whether the Axis categories should be split or stacked.

In the following visual, each bubble represents the internet sales for a specific grouping of the following dimension columns: Sales Territory Country, Product Subcategory, Promotion Type, and Customer History Segment

Dot Plot by Maq Software

For example, one bubble represents the Internet Sales for the Road Bikes Product Subcategory within the United States Sales Territory Country, which is associated with the volume discount promotion type and the first year Customer History Segment. In this visual, the Customer History Segment column is used as the legend and thus the color of each bubble is automatically formatted to one of the three customer history segments.

In the preceding example, the Orientation property is set to Horizontal and the Split labels property under the Axis category formatting card is enabled. The Split labels formatting causes the Sales Territory Country column to be displayed on the opposite axis of the Product Subcategory column. Disabling this property results in the two columns being displayed as a hierarchy on the same axis with the child column (Product Subcategory) positioned inside the parent column (Sales Territory Country).

Despite its power in visualizing many dimension columns and its extensive formatting features, data labels are currently not supported. Therefore, when the maximum of four dimension columns are used, such as in the previous example, it's necessary to hover over the individual bubbles to determine which specific grouping the bubble represents, such as in the following example:

 
Four dimension columns per bubble of the Dot Plot visual
If only three dimension columns are used, which is still a detailed grain, then the lack of data labels is much less of a limitation. For example, the Sales Territory Country and Product Subcategory columns could be applied to the Axis category I and Axis category II field wells respectively, and the promotion type column could be added to the Legend. The two axis labels and the color of each bubble (per promotion type) would visually indicate the three-column grouping each bubble represents. 
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