Bubble Chart

"Data visualization helps to bridge the gap between numbers and words." — Brie E. Anderson

What is a Bubble Chart:

The Bubble Chart primarily displays the correlation between two variables in your data. It not only visualizes this correlation but also incorporates the size of each bubble. Moreover, it aids in identifying outliers within your data.

Example for a Bubble Chart

In the below Bubble Chart; you can read 3 different insights:

1. The growth of each category: e.g.: Grocery reached around 45% increase
2. Share of Total Revenue: e.g.: Grocery shares by around 5% of Total E-commerce Revenues
3. Size of each Category: e.g.: Grocery is the biggest between category

Best Practice for using a Bubble Chart:

• Bubbles opacity: To ensure optimal visibility of each bubble, it is recommended to apply opacity to them. In general, setting the opacity value between 0.5 and 0.8 on a scale of 1 tends to yield satisfactory results.

• Bubbles Size: The primary purpose of a bubble chart is to visually represent the size of each bubble in relation to the others. If your data exhibits similar bubble sizes, a bubble chart may not be necessary. In such cases, using a scatter plot would be more appropriate. Consider the below 2 charts that compare both scenarios

Remember, selecting the appropriate visualization method depends on the nature of your data and the insights you aim to deliver.

Feel free to share any other advise for using a Bubble chart in the comments. Thanks for reading :)