Gauge chart

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• How-to guide
• 2-min read
• Updated on Apr 24, 2026

Examples

Example 1

Gauge visualization: example 1

The gauge visualization above is based on the following query, which calculates CPU as the average host CPU usage. In the Data mapping settings, Gauge value is then set as CPU.

timeseries avg(dt.host.cpu.usage)
| fieldsAdd CPU = arrayAvg(`avg(dt.host.cpu.usage)`)
| fieldsKeep CPU

The Visual tab settings are as follows:

Example 2

Gauge visualization: example 2

The gauge visualization above is based on the following query, which calculates pctActive as the percentage of total problems that are open. In the Data mapping settings, Gauge value is then set as pctActive.

fetch dt.davis.problems
| summarize count = count(), by:{event.status}
| summarize { active=toDouble(takeAny(if(event.status=="ACTIVE", count))), closed=toDouble(takeAny(if(event.status=="CLOSED", count)))}
| fieldsAdd total = active + closed
| fieldsAdd pctActive = (active / total) * 100
| fieldsKeep pctActive

The Visual tab settings are as follows:

Title

Use the title field at the top of the options panel (initially Untitled tile or Untitled section) to add a title to your dashboard tile or notebook section.

Example:

The title will be displayed as Current 🌍 status is Good.

Visualization

If you aren't sure that you chose the right visualization, use the visualization selector to try different visualizations.

Data mapping

The data mapping section shows how a column of your result is mapped to the visualization.

Visualization-specific data mapping settings

For a gauge chart, the data mapping section includes:

Gauge bar

Colors

The color settings for a visualization are displayed in rows.

Each row associates a color scheme with a condition/value related to a selected field displayed in the visualization.

To adjust the settings for a row, there are two menus of settings that will be used in combination to determine which color is displayed:

Colors: additional actions

Colors: Examples:

Pie

In this pie visualization example, we have applied:

1. Green to slices with values below 15.
2. Yellow to slices with values at or above 15.
3. Red to slices with values at or above 20.

If you changed the order of the rows in the Colors section, you would see different colors. For example, if you swapped rows 2 and 3 above, all slices with values at or above 20 would be colored red, but then all slices with values at or above 15, including all the red slices, would be colored yellow.

Example pie visualization with coloring applied

Honeycomb

In this honeycomb visualization example, we have applied:

• Green to all value.A values.
• Yellow as a row marker (on the left) for value.A values at or above 15.
• Red to the entire row for value.A values at or above 20,

The result is a fully thresholded honeycomb chart. You can use other honeycomb visualization settings to adjust the labels, tooltip, legend, and so on.

Example honeycomb visualization with coloring applied

Units and formats

To override the default units and formats in a dashboard or notebook visualization

Units and formats: Additional actions

Units and formats: Examples

Query limits

Use the Query limits section to check and adjust the Grail query limits per notebook section or dashboard tile. These settings determine the maximum limits when fetching data. Exceeding any limit will generate a warning.