Two new chart types have been added to the visualizations you can choose when building or editing reports in Shopify Analytics. You can now compare three metrics at once, or break a total down into nested categories.
Beyond the X and Y position, it expresses a third metric through the "size of the circle." Plotting three metrics at once makes it easier to spot outliers (points that stand out).
The center is the "total," and the further out each ring is, the more granular the nested category. It shows how each part builds up toward the whole, layer by layer.
A bubble chart X-axis, Y-axis, and circle size overlays three values onto a single point (bubble). For example, plotting "units sold (X) × return rate (Y) × revenue (circle size)" together makes products that sell a lot but also have a high return ratestand out instantly—the kind of outlier that tends to get buried in tables or rankings.
A sunburst chart puts the total at the center, and the rings spreading outward represent nested (parent → child) categories. The angle of each segment shows that category's share of the total. It lets you see at a glance "which product category is driving revenue" and "which subcategory within it is making the difference," in awhole → breakdown → further breakdown format, all at once.
Create a new report in Analytics, or open an existing report in edit mode.
Two new types appear in the chart-type picker (visualization picker).
Once selected, that report's data is rendered in the new chart format.
| Aspect | Bubble chart | Sunburst chart |
|---|---|---|
| What it's good at | Relationships between multiple metrics + spotting outliers | Hierarchical breakdown of a total (composition) |
| Values shown at once | 3 metrics X, Y, and bubble size | Hierarchy Parent category → child category |
| Typical question | "Which products stand out?" | "What is revenue made up of?" |
| Example | Units sold × return rate × revenue | Revenue by category → subcategory |
| Where it appears | The visualization picker when creating or editing a report | |
The data sources and metric definitions haven't changed—there are simply two more ways to render existing report data. You don't need to rebuild existing reports; just edit them and switch the chart type.
You need three numeric dimensions: X, Y, and size. For meaningful outlier detection, the key is designing a combination of two metrics whose correlation you want to see plus one metric representing scale.
Without a nested parent→child structure (category→subcategory, etc.), it won't show its true value. The more a store's product taxonomy or tag hierarchy is well organized, the bigger the payoff. Data design is the prerequisite.
The announcement is only about the report UI in the admin. It says nothing about whether you can specify chart types via ShopifyQL or the Admin API. If you're aiming for programmatic integration, you'll need to verify that separately.
With more options comes a greater chance of misuse.use bubble to see relationships and scale, sunburst to see breakdowns, and the classic line chart to see trends over timeSeparating these by use case and baking them into report templates and operational guidelines is the practical move.