Important: This documentation is about an older version. It's relevant only to the release noted, many of the features and functions have been updated or replaced. Please view the current version.

Documentation Grafana documentation Panels and visualizations Visualizations Histogram

Histogram

Histograms calculate the distribution of values and present them as a bar chart. Each bar represents a bucket; the y-axis and the height of each bar represent the count of values that fall into each bucket, and the x-axis represents the value range.

For example, if you want to understand the distribution of people’s heights, you can use a histogram visualization to identify patterns or insights in the data distribution:

You can use a histogram visualization if you need to:

• Visualize and analyze data distributions over a specific time range to see how frequently certain values occur.
• Identify any outliers in your data distribution.
• Provide statistical analysis to help with decision-making

Configure a histogram visualization

Once you’ve created a dashboard, the following video shows you how to configure a histogram visualization:

Give it a try using Grafana Play

With Grafana Play, you can explore and see how it works, learning from practical examples to accelerate your development. This feature can be seen on Histogram Examples.

Try it

Supported data formats

Histograms support time series and any table results with one or more numerical fields.

Examples

The following tables are examples of the type of data you need for a histogram visualization and how it should be formatted.

Time-series table

The data is converted as follows:

Basic numerical table

The data is converted as follows:

Panel options

In the Panel options section of the panel editor pane, set basic options like panel title and description, as well as panel links. To learn more, refer to Configure panel options.

Histogram options

Use the following options to refine your histogram visualization.

Bucket count

Specifies the number of bins used to group your data in the histogram, affecting the granularity of the displayed distribution. Leave this empty for automatic bucket count of 30.

Bucket size

The size of the buckets. Leave this empty for automatic bucket sizing (~10% of the full range).

Bucket offset

If the first bucket should not start at zero. A non-zero offset has the effect of shifting the aggregation window. For example, 5-sized buckets that are 0-5, 5-10, 10-15 with a default 0 offset would become 2-7, 7-12, 12-17 with an offset of 2; offsets of 0, 5, or 10, in this case, would effectively do nothing. Typically, this option would be used with an explicitly defined bucket size rather than automatic. For this setting to affect, the offset amount should be greater than 0 and less than the bucket size; values outside this range will have the same effect as values within this range.

Combine series

This will merge all series and fields into a combined histogram.

Stacking

Controls how multiple series are displayed in the histogram. Choose from the following:

• Off - Series are not stacked, but instead shown side by side.
• Normal - Series are stacked on top of each other, showing cumulative values.
• 100% - Series are stacked to fill 100% of the chart, showing the relative proportion of each series.

Line width

Controls line width of the bars.

Fill opacity

Controls the fill opacity bars.

Gradient mode

Set the mode of the gradient fill. Fill gradient is based on the line color. To change the color, use the standard color scheme field option.

Gradient display is influenced by the Fill opacity setting.

Choose from the following:

• None - No gradient fill. This is the default setting.
• Opacity - Transparency of the gradient is calculated based on the values on the Y-axis. The opacity of the fill is increasing with the values on the Y-axis.
• Hue - Gradient color is generated based on the hue of the line color.
• Scheme - The selected color palette is applied to the histogram bars.

Standard options

Standard options in the panel editor pane let you change how field data is displayed in your visualizations. When you set a standard option, the change is applied to all fields or series. For more granular control over the display of fields, refer to Configure overrides.

To learn more, refer to Configure standard options.

Legend options

Legend options control the series names and statistics that appear under or to the right of the graph. For more information about the legend, refer to Configure a legend.

Value mappings

Value mapping is a technique you can use to change how data appears in a visualization.

For each value mapping, set the following options:

• Condition - Choose what’s mapped to the display text and (optionally) color:
  • Value - Specific values
  • Range - Numerical ranges
  • Regex - Regular expressions
  • Special - Special values like Null, NaN (not a number), or boolean values like true and false
• Display text
• Color (Optional)
• Icon (Canvas only)

To learn more, refer to Configure value mappings.

Thresholds

A threshold is a value or limit you set for a metric that’s reflected visually when it’s met or exceeded. Thresholds are one way you can conditionally style and color your visualizations based on query results.

For each threshold, set the following options:

To learn more, refer to Configure thresholds.

Data links

Data links allow you to link to other panels, dashboards, and external resources while maintaining the context of the source panel. You can create links that include the series name or even the value under the cursor.

For each data link, set the following options:

• Title
• URL
• Open in new tab

To learn more, refer to Configure data links.

Field overrides

Overrides allow you to customize visualization settings for specific fields or series. When you add an override rule, it targets a particular set of fields and lets you define multiple options for how that field is displayed.

Choose from the following override options:

To learn more, refer to Configure field overrides.