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Real-Time Dashboard supported visuals

Real-Time Dashboard supports most visualizations available through the render operator, as well as the following dashboard-specific visuals: funnel chart, and heatmap.

This article describes each supported visual, along with common use cases and a visual example, so you can choose the right visual for your data and monitoring scenario.

Supported visuals

The following table describes each supported visual, along with common use cases and a visual example. For more information on customizing the properties of each visual type, see Customize Real-Time Dashboard visuals.

Visual Description Use case Visual example
Anomaly chart A time chart that automatically highlights data points identified as anomalies. Spot unexpected spikes or drops in a metric over time, such as unusual error rates. Screenshot of an anomaly chart.
Area chart A line chart with the area beneath each line filled in, showing values accumulating over time. Show trends in volume or magnitude over time, such as total requests processed per hour. Screenshot of an area chart.
Bar chart A chart that represents categories as horizontal bars, with length proportional to value. Compare values across categories with long or many labels, such as errors by service name. Screenshot of a bar chart.
Column chart A chart that represents categories as vertical bars, with height proportional to value. Compare values across categories or discrete time buckets, such as daily sign-ups. Screenshot of a column chart.
Funnel chart A chart that shows values decreasing through sequential stages, shaped like a funnel. Track drop-off through a multistep process, such as conversions through a sign-up flow. Screenshot of a funnel chart.
Heatmap A grid that uses color intensity to represent the magnitude of a value across two dimensions. Identify patterns or concentrations across two categories, such as activity by hour and day of week. Screenshot of a heatmap.
KPI A tile that displays a single key metric, often with a trend indicator. Highlight a critical metric at a glance, such as current system uptime or revenue. Screenshot of a KPI visual.
Line chart A chart that connects data points with a continuous line along a numeric or time axis. Track how a metric changes over time or across an ordered sequence, such as latency trends. Screenshot of a line chart.
Map A visual that plots data points on a geographic map by location. Visualize the geographic distribution of events or resources, such as device locations. Screenshot of a map visual.
Markdown A tile that renders formatted text and images using Markdown syntax. Add titles, descriptions, instructions, or embedded images to provide context on a dashboard. Screenshot of a markdown tile.
Multi stat A grid of single-value tiles, each showing a key metric. Display several key metrics side by side at a glance, such as total users and active sessions. Screenshot of a multi stat visual.
Pie chart A circular chart divided into slices, each representing a category's proportion of the whole. Show the relative distribution of categories, such as traffic share by device type. Screenshot of a pie chart.
Scatter chart A chart that plots individual data points against two numeric axes. Explore the correlation between two metrics, such as latency versus load. Screenshot of a scatter chart.
Stat A tile that displays a single numeric value. Highlight one key metric prominently, such as total revenue. Screenshot of a stat visual.
Table A grid that displays rows and columns of data. Review detailed or raw records, such as the most recent transactions. Screenshot of a table visual.
Time chart A line chart with time plotted on the x-axis. Monitor how a metric evolves over time, such as CPU usage. Screenshot of a time chart.
Time series chart (preview) A chart that plots multiple time-based measures and categories, with interactive drill-down. Monitor several related time series together and drill into specific entities or time ranges. Screenshot of a time series chart.