Create and customize scatter and bubble charts in Insights

Scatter and bubble charts help you compare two measures at once, spot unusual results, and see whether values tend to move together. In Insights, you can use a scatter chart to position each result by two measures, then add point size and color to turn it into a bubble chart with more analytical context.

For example, you could compare occupancy and ADR across properties, size each point by accommodation revenue, and color the points by brand or region. This makes it easier to identify properties with similar occupancy but materially different rates or revenue contribution.

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If your chart editor looks different: Open the Tab menu and select Test the new chart editor. Review the preview, then select Use the new chart editor. You can switch back from the same menu for now, but we recommend becoming familiar with this editor because it is the direction chart building in Insights is moving.

A scatter chart and a bubble chart use the same basic structure:

A scatter chart gives every point the same size. Use it when the relationship between the X- and Y-axis measures is the main focus.

A bubble chart varies the size of each point using a third measure. Use it when magnitude provides important context—for example, when you want to compare ADR or occupancy while also showing which properties generate the most accommodation revenue.

Choose the axes according to how you want readers to scan the chart. For an occupancy-and-ADR comparison, placing occupancy on the X-axis makes movement from lower to higher occupancy read from left to right, while ADR increases from bottom to top.

Time fields use a continuous time axis and display chronologically. Other fields follow the ordering applied to the analysis.

Use color to distinguish groups

Add a field to Color when the points belong to meaningful groups, such as brand, region, market segment, or booking channel.

Use a categorical field when each group should have a distinct color. A numeric field instead creates a continuous color scale, which can help show how another measure varies across the chart.

Avoid adding color when it does not answer a specific question. Too many colors make clusters harder to interpret and can obscure the relationship between the two axis measures.

Use size to create a bubble chart

In a scatter layer, add a measure to Size to vary the area of each point. The chart becomes a bubble chart.

Choose a size measure that adds decision-making context rather than repeating an axis. For example:

This view helps distinguish a high-ADR, high-occupancy property with a large revenue contribution from a property occupying a similar position but contributing much less revenue.

Size is available only for scatter layers. If you change the layer to a bar, line, or area mark, its size setting is removed.

Open the point styling controls to adjust how each series appears.

Shape and fill are especially useful when color alone is not enough. For example, using both color and shape to distinguish regions makes the chart easier to interpret for readers who cannot reliably distinguish every color.

Hollow points and reduced opacity can also reveal points that would otherwise be hidden inside a dense cluster. Use these controls to improve readability, not simply to introduce more visual variation.

Labels

Add a field to Label when readers need to identify particular points without hovering. For a portfolio comparison, Property Name is often the most useful label.

Labels can become difficult to read when points cluster closely together. If the chart is crowded, label only the most important series or rely on the tooltip for detailed identification.

Tooltips

Add fields to Tooltip to provide context when a reader hovers over a point. Fields appear in the order shown in the tooltip section.

For an occupancy-and-ADR chart, useful tooltip fields might include property name, accommodation revenue, RevPAR, room nights, and the comparison period. Keep the tooltip focused on information that helps explain why the point is in that position.

Look for patterns such as:

A visible relationship does not prove that one measure caused the other. For example, a group of properties with higher ADR and lower occupancy may reflect market position, property type, seasonality, or commercial strategy. Use the chart to identify where to investigate, then review the relevant breakdowns and time periods before drawing a conclusion.