Visualization types

This page documents an earlier version of InfluxDB. InfluxDB v2.7 is the latest stable version. View this page in the v2.7 documentation.

The InfluxDB UI provides multiple visualization types to visualize your data in a format that makes the most sense for your use case. Use the available customization options to customize each visualization.

Band

The Band visualization displays the upper and lower boundaries for groups of data over time. Boundaries are determined by applying aggregate functions to your data for a specified window period, and then setting the aggregate functions for a specified upper, main, or lower boundary. Set up the Band visualization To see bands (boundaries) in the Band Plot visualization, you must set up two or three boundaries for comparison. Set up the band visualization in the Data Explorer Click the Data Explorer icon in the navigation bar.

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Gauge

The Gauge view displays the single value most recent value for a time series in a gauge view.

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Graph

The Graph view lets you select from multiple graph types such as line graphs and bar graphs (Coming).

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Graph + Single Stat

The Graph + Single Stat view displays the specified time series in a line graph and overlays the single most recent value as a large numeric value.

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Heatmap

A Heatmap displays the distribution of data on an x and y axes where color represents different concentrations of data points.

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Histogram

A histogram is a way to view the distribution of data. The y-axis is dedicated to count, and the x-axis is divided into bins.

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Mosaic

The Mosaic visualization displays state changes in your time series data. This visualization type is useful when you want to show changes in string-based states over time.

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Scatter

The Scatter view uses a scatter plot to display time series data.

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Single stat

The Single Stat view displays the most recent value of the specified time series as a numerical value.

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Table

The Table option displays the results of queries in a tabular view, which is sometimes easier to analyze than graph views of data.

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