Documentation

Histogram visualization

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.

Histogram example

Select the Histogram option from the visualization dropdown in the upper left.

Histogram behavior

The Histogram visualization is a bar graph that displays the number of data points that fall within “bins” – segments of the X axis with upper and lower bounds. Bin thresholds are determined by dividing the width of the X axis by the number of bins set using the Bins option. Data within bins can be further grouped or segmented by selecting columns in the Group By option.

The Histogram visualization automatically bins, segments, and counts data. To work properly, query results should not be structured as histogram data.

Histogram Controls

To view Histogram controls, click Customize next to the visualization dropdown.

Data
  • X Column: The column to select data from.
  • Group By: The column to group by.
Options
  • Color Scheme: Select a color scheme to use for your graph.
  • Positioning: Select Stacked to stack groups in a bin on top of each other. Select Overlaid to overlay groups in each bin.
  • Bins: Enter a number of bins to divide data into or select Auto to automatically calculate the number of bins.
    • Auto or Custom: Enable or disable auto-setting.
X Axis
  • X Axis Label: Label for the x-axis.
  • X Axis Domain: The x-axis value range.
    • Auto: Automatically determine the value range based on values in the data set.
    • Custom: Manually specify the value range of the x-axis.
      • Min: Minimum x-axis value.
      • Max: Maximum x-axis value.
Hover Legend
  • Orientation: Select the orientation of the legend that appears upon hover:
    • Horizontal: Select to display the legend horizontally.
    • Vertical: Select to display the legend vertically.
  • Opacity: Adjust the legend opacity using the slider.
  • Colorize Rows: Select to display legend rows in colors.

Histogram examples

View error counts by severity over time

The following example uses the Histogram visualization to show the number of errors “binned” by time and segmented by severity. It utilizes data from the Telegraf Syslog plugin.

Query for errors by severity code
from(bucket: "example-bucket")
    |> range(start: v.timeRangeStart, stop: v.timeRangeStop)
    |> filter(fn: (r) => r._measurement == "syslog" and r._field == "severity_code")
Histogram settings

In the Histogram visualization options, select _time as the X Column and severity as the Group By option:

Errors histogram

Was this page helpful?

Thank you for your feedback!


The future of Flux

Flux is going into maintenance mode. You can continue using it as you currently are without any changes to your code.

Flux is going into maintenance mode and will not be supported in InfluxDB 3.0. This was a decision based on the broad demand for SQL and the continued growth and adoption of InfluxQL. We are continuing to support Flux for users in 1.x and 2.x so you can continue using it with no changes to your code. If you are interested in transitioning to InfluxDB 3.0 and want to future-proof your code, we suggest using InfluxQL.

For information about the future of Flux, see the following:

InfluxDB Cloud powered by TSM