5.3.2 Programmable Alerts
7.3 Data Management and Data Model Handling
7.3.4 Working with Data Model
7.4 Control Center
7.4.1 License Entitlements
7.5 Platform Settings
Panels > Data Table
A Gauge Chart, also referred to as a dial or speedometer chart, uses needles to visually represent data readings on a dial. On a gauge chart, the value for each needle is read against the colored data range or chart axis. Following are the ways these charts make it easy for viewers to understand the displayed values.
To create the Gauge chart
(Refer to Dashboard Creation > Query)
On the right side of the default screen, select Visualization as Gauge to create an Gauge Chart panel.
There are multiple options to edit the properties of the panel. The first one is Panel Options. Enter a Name and Description for the Panel that you want to create. For instance, if you’re making a Gauge chart to track CPU current power consumption, name the panel “CPU Power” and describe it as “Current Power Consumption.”
The Description is available in the top left corner and can be viewed by hovering over the i button.
The next part of Panel Options is Panel Link where you can point a link to any other website or dashboard of your choice. Enter a title, URL and select the ‘Open in a new Tab’ option if you want to open the link in a new tab. Click Save.
The URL can be a link to another dashboard or for getting help or useful info. When you click on a panel, it opens the link either in the same tab or a new tab, depending on your choices. For example, if you want to compare a default dashboard, just click the link to open it.
The value options in a Gauge chart can be used to select what values, calculations, and fields should be displayed.
The Gauge options allow you to change Gauge properties.
The options include:
The Text size option allows you to change the Gauge text and value size to be displayed on the chart.
For example, when “Last” is selected, the last received data for the selected time period is shown.
The options include:
The Standard Options are used to configure the other standard settings in the graph. It changes the way the graph appears.
The further options include:
The Data Links option is similar to the Panel Link where you can link a URL and then open it in another tab. It is placed on the data instead of the Panel.
You can click on the data anywhere and the link option will appear
It is used for an instant link that you want to appear anytime you click on the data.
The Value Mappings option allows you to find a certain value and wherever the value lies, the display text is displayed. If there is a similar value in the data, it highlights in the form of the color selected.
The Threshold option is used to define the value threshold. You can set certain thresholds and color-code them.
There are two options to show thresholds mode:
For example, CPU usage is set as green for 0, blue for 10, and yellow for 20, that way you can easily see when the output is above the threshold and immediate action can be taken or an error alert can be sent out.
Use the Add field Override option to modify existing fields.
Overrides allow you to change the settings for one or more fields. Field options for overrides are the same as the field options available in a particular panel. The only difference is that you choose which fields to apply them to.
To add a field override, click on the Add Field Override button.
Select the Field type
Select a field type, based on the following properties:
You can add multiple fields overrides by repeating the same.
You have now learned how to configure the Gauge Chart, change the panel settings, and more. You can save and edit the panel later too.
Browse through our resources to learn how you can accelerate digital transformation within your organisation.
VuNet Systems is a next-gen visibility and analytics company that uses full-stack AI & Big Data analytics to accelerate digital transformation within an organisation. We provide deep observability into business journeys to reduce failures and enhance overall customer experience.
© 2023 VuNet. All Rights Reserved.