The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.

prometheus hacktoberfest metrics monitoring alerting grafana go influxdb mysql postgres analytics data-visualization dashboard business-intelligence elasticsearch

7.5 KiB

Raw Blame History

aliases	description	keywords	labels	title	weight	refs
[../../features/panels/histogram/ ../../panels/visualizations/histogram/ ../../visualizations/histogram/]	Configure options for Grafana's histogram visualization	[grafana docs bar chart panel barchart]	[{products [cloud enterprise oss]}]	Histogram	100	[{standard-calculations {pattern /docs/grafana/} {destination /docs/grafana/<GRAFANA_VERSION>/panels-visualizations/query-transform-data/calculation-types/}] [{pattern /docs/grafana-cloud/} {destination /docs/grafana-cloud/visualizations/panels-visualizations/query-transform-data/calculation-types/}} {color-scheme {pattern /docs/grafana/} {destination /docs/grafana/<GRAFANA_VERSION>/panels-visualizations/configure-standard-options/#color-scheme}] [{pattern /docs/grafana-cloud/} {destination /docs/grafana-cloud/visualizations/panels-visualizations/configure-standard-options/#color-scheme}}]

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:

{{< figure src="/static/img/docs/histogram-panel/histogram-example-v8-0.png" max-width="1025px" alt="A histogram visualization showing the distribution of people's heights" >}}

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

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

{{< docs/play title="Histogram Examples" url="https://play.grafana.org/d/histogram_tests/" >}}

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

Time	Walking (km)
2024-03-25 21:13:09	37.2
2024-03-25 21:13:10	37.1
2024-03-25 21:13:10	37.0
2024-03-25 21:13:11	37.2
2024-03-25 21:13:11	36.9
2024-03-25 21:13:12	36.7
2024-03-25 21:13:13	36.3

The data is converted as follows:

{{< figure src="/static/img/docs/histogram-panel/histogram-example-time-series.png" max-width="1025px" alt="A histogram visualization showing the random walk distribution." >}}

Basic numerical table

Gender	Height (kg)	Weight (lbs)
Male	73.8	242
Male	68.8	162
Male	74.1	213
Male	71.7	220
Male	69.9	206
Male	67.3	152
Male	68.8	184

The data is converted as follows:

{{< figure src="/static/img/docs/histogram-panel/histogram-example-height-weight.png" max-width="1025px" alt="A histogram visualization showing the male height and weight distribution" >}}

Configuration options

{{< docs/shared lookup="visualizations/config-options-intro.md" source="grafana" version="<GRAFANA_VERSION>" >}}

Panel options

{{< docs/shared lookup="visualizations/panel-options.md" source="grafana" version="<GRAFANA_VERSION>" >}}

Histogram options

Use the following options to refine your histogram visualization.

Option	Description
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.
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.

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 have the same effect as values within this range.

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.

{{< docs/shared lookup="visualizations/tooltip-options-3.md" source="grafana" version="<GRAFANA_VERSION>" leveloffset="+1" >}}

Legend options

{{< docs/shared lookup="visualizations/legend-options-1.md" source="grafana" version="<GRAFANA_VERSION>" >}}

Standard options

{{< docs/shared lookup="visualizations/standard-options.md" source="grafana" version="<GRAFANA_VERSION>" >}}

Data links

{{< docs/shared lookup="visualizations/datalink-options.md" source="grafana" version="<GRAFANA_VERSION>" >}}

Value mappings

{{< docs/shared lookup="visualizations/value-mappings-options.md" source="grafana" version="<GRAFANA_VERSION>" >}}

Thresholds

{{< docs/shared lookup="visualizations/thresholds-options-2.md" source="grafana" version="<GRAFANA_VERSION>" >}}

Field overrides

{{< docs/shared lookup="visualizations/overrides-options.md" source="grafana" version="<GRAFANA_VERSION>" >}}

7.5 KiB Raw Blame History