Bubble charts are similar to Scatter plots. They show data points as bubbles using Cartesian coordinates (x-y-z coordinate). In addition, bubble charts incorporate a third measure that is represented by the relative size of each data point (the area of the ‘bubble’).

In the example above, we are analyzing “Test Results of Users” using three dimensions.

Dimension 1 (x-axis): Average Huddle Completion %

Dimension 2 (y-axis): Count of tests passed

Dimension 3 (bubble size): Average test score

This bubble chart allows us to test the following assumption:

Does a users huddle completion % and count of tests passed affect the their test scores?

• If the bubbles are larger toward the right side of the chart (x-axis), it tells us there is a positive correlation between huddle completion percentage and test score.
• If the bubbles are larger toward the top of the chart (y-axis), it tells us there is a positive correlation between count of tests passed and test score.

Bubble charts have the following sections: Measure (X-axis), Measure (Y-axis), Measure (Size), View by, and Configuration.

To learn about other charts, please click here.