Plot Band Configuration in Solid Guage Chart

Plot bands in a Solid Gauge chart are used to visually segment the gauge's scale into color-coded ranges. These helps highlight zones such as 'Low', 'Medium', 'High', or indicate threshold levels. Plot bands are static. Plot band configuration is done using the Highlight configuration.

Purpose of Plot Band:

- Visually divide the gauge into value-based ranges.

- Highlight critical thresholds or safe/alert zones.

Configure Plot Band:

Plot Band formatter is available in Chart formatters of Solid Guage chart. Follow below steps to configure Plot Band on Solid Guage chart:

1.     Chart formatters >> Turn on the Toggle button of Plot Band.

2.     Turning ON of Plot Band sets the Highlight configuration to Turn OFF, if tuned ON previously.

Figure 1: Solid Guage chart with Plot Band and Highlight Configuration

3.     Turn On toggle button in Highlight -Apply formatter

4.     Highlight modal is displayed as below, showing the options to Add Level

Figure 2: Plot Band configuration in Highlight Modal

5.     Add the levels to show the different ranges on the chart as below. The minimum and maximum value displayed on the chart are 0 and  65.04 Thousand so add the levels accordingly. Click Apply Button.

Figure 3: Levels set for Plot Band Configuration

6.     The Plot Bands are set as data ranges on the solid guage chart, visualizing chart as below.

Figure 4: Solid Guage chart with Plot Band

The levels are set on the chart as below:

0 to 20000	Red
> 20000 to 40000	Yellow
> 40000 to 60000	Green
> 60000 to 100000	Violet

Reflected Changes on the Chart:

The value 32.52 Thousand lies between 20000 to 40000 levels which refer to Yellow color hence the chart data color is displayed Yellow. Data label showing the label with Yellow color.

Guage axis labels are available showing the data ranges – 20 Thousand, 40 Thousand, 60 Thousand.

Notes:

·  When the chart is fully configured—either through the Configuration panel or via Formatters > Gauge Axis options—the highlight condition still evaluates the value configuration as the left-hand side (LHS) for comparison against the specified operator and operand value. ·  Conditions defined in the Highlight modal are evaluated dynamically based on real-time data. The chart applies the corresponding visual changes using the filtered data available at that specific moment. ·  A Solid Gauge chart can be configured using either Highlight or Plot Band settings—not both simultaneously. When using Plot Band, you must define level thresholds. When using Highlight, you need to configure conditional rules. ·  When Plot Band is used, it evaluates the data value against the defined ranges and applies the corresponding color to the chart segment where the value falls.

 

• Related Articles

• Highlight Formatting for Solid Guage Chart

  Before you walk through the below guide to set the Highlight on Solid Guage chart, you can refer Highlight for getting more details of the Highlight option to set the conditional formatting on the chart. For Solid Guage chart, to set the Conditional ...

• Highlight in Card Chart

  Refer Highlight for the configuration of Highlight. Card widget configured without Highlight shows the values- 9.60K. After applying Highlight condition, Is less than 10000 sets Voilet Color. The condition gets satisfied, and the chart is displayed ...

• Plot Type

  The Plot Type formatting option is available in the Combination Chart. The table given below describes different fields present for Plot Type formatting. Field Description Remark Column Organization of data in the column. The values are: CLUSTER – ...

• Plot Area

  The Plot Area refers to that part of the chart where the widget is plotted. For example, in a bar chart, the plot area lies between the X and Y axes. The table given below describes different fields present for Plot Area formatting. Field Description ...

• Expand View option for Chart

  The Expand View feature allows users to focus on a specific chart widget by expanding it to a full modal view. This provides a clearer and more detailed visualization of complex or dense data that may not be fully visible in the default dashboard ...