---
title: Heatmap Widget
description: Build temporal heat map over a given metric.
breadcrumbs: Docs > Dashboards > Widgets > Heatmap Widget
---

# Heatmap Widget

{% callout %}
##### Join the Preview!

A new Host Map experience is in Preview. Use this form to request early access to the new features.

[Request Access](https://www.datadoghq.com/product-preview/hostmap)
{% /callout %}

{% image
   source="https://datadog-docs.imgix.net/images/dashboards/widgets/heatmap/heatmap.8f72c33e4786932ca1428a213ebd318d.png?auto=format"
   alt="Example heatmap graph visualization" /%}

The heatmap widget shows metrics aggregated across multiple tags. Use heatmap widgets to visualize OpenTelemetry histograms, distribution metrics, high resolution and data display.

## Setup{% #setup %}

### Configuration{% #configuration %}

Configure your metric query as usual. Graph OpenTelemetry histograms by using the 'counters' histogram mode.

Make a selection in the "`avg`/`max`/`min`/`sum by`/etc." control to see your data across the associated tags.

### Options{% #options %}

#### Y-axis controls{% #y-axis-controls %}

Y-axis controls are available through the UI and the JSON editor.

They allow you to:

- Clip the y-axis to specific ranges.
- Automatically change y-axis bounds based on an absolute value threshold. This threshold can be applied to one or both ends of the graph (lower and upper) to remove the "outlier" series.
- Change the y-axis scale from linear to log, pow, or sqrt.

Change the Y-axis scale by expanding the *Y-Axis Controls* button.

The following configuration options are available:

| Option                | Required | Description                                                                                                                                                                                       |
| --------------------- | -------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `Min`/`Max`           | No       | Specify the minimum and / or maximum value to show on y-axis. It takes a number or `Auto` as the default value.                                                                                   |
| `Scale`               | No       | Specifies the scale type. Possible values:- *linear*: A linear scale (default)- *log*: A logarithmic scale- *pow*: A Power of 2 scale (2 is default, modify in JSON)- *sqrt*: A square root scale |
| `Always include zero` | No       | Always include zero or fit the axis to the data range. The default is to always include zero.                                                                                                     |

**Note**: Because the mathematical log function doesn't accept negative values, the Datadog log scale only works if values are of the same sign (everything > 0 or everything < 0). Otherwise an empty graph is returned.

## API{% #api %}

This widget can be used with the **[Dashboards API](https://docs.datadoghq.com/api/latest/dashboards/)**. See the following table for the [widget JSON schema definition](https://docs.datadoghq.com/dashboards/graphing_json/widget_json/):

{% tab %}
ModelExample
{% tab title="-model" %}
Expand AllFieldTypeDescription custom_links[object]List of custom links.is_hiddenbooleanThe flag for toggling context menu link visibility.labelstringThe label for the custom link URL. Keep the label short and descriptive. Use metrics and tags as variables.linkstringThe URL of the custom link. URL must include `http` or `https`. A relative URL must start with `/`.override_labelstringThe label ID that refers to a context menu link. Can be `logs`, `hosts`, `traces`, `profiles`, `processes`, `containers`, or `rum`.descriptionstringThe description of the widget. events[object]**DEPRECATED**: List of widget events. Deprecated - Use `overlay` request type instead.q [*required*]stringQuery definition.tags_executionstringThe execution method for multi-value filters.legend_sizestringAvailable legend sizes for a widget. Should be one of "0", "2", "4", "8", "16", or "auto". markers[object]List of markers.display_typestringCombination of:
- A severity error, warning, ok, or info
- A line type: dashed, solid, or bold In this case of a Distribution widget, this can be set to be `percentile`.
labelstringLabel to display over the marker.timestringTimestamp for the widget.value [*required*]stringValue to apply. Can be a single value y = 15 or a range of values 0 < y < 10. For Distribution widgets with `display_type` set to `percentile`, this should be a numeric percentile value (for example, "90" for P90). requests [*required*][object]List of widget types. apm_queryobject**DEPRECATED**: Deprecated - Use `queries` and `formulas` instead. computeobjectDefine computation for a log query.aggregation [*required*]stringThe aggregation method.facetstringFacet name.intervalint64Define a time interval in seconds. group_by[object]List of tag prefixes to group by in the case of a cluster check.facet [*required*]stringFacet name.limitint64Maximum number of items in the group. sortobjectDefine a sorting method.aggregation [*required*]stringThe aggregation method.facetstringFacet name.order [*required*]enumWidget sorting methods. Allowed enum values: `asc,desc`indexstringA coma separated-list of index names. Use "*" query all indexes at once. [Multiple Indexes](https://docs.datadoghq.com/logs/indexes/#multiple-indexes) multi_compute[object]This field is mutually exclusive with `compute`.aggregation [*required*]stringThe aggregation method.facetstringFacet name.intervalint64Define a time interval in seconds. searchobjectThe query being made on the logs.query [*required*]stringSearch value to apply. event_queryobject**DEPRECATED**: Deprecated - Use `queries` and `formulas` instead.search [*required*]stringThe query being made on the event.tags_execution [*required*]stringThe execution method for multi-value filters. Can be either and or or. formulas[object]List of formulas that operate on queries.aliasstringExpression alias.cell_display_modeenumDefine a display mode for the table cell. Allowed enum values: `number,bar,trend` cell_display_mode_optionsobjectCell display mode options for the widget formula. (only if `cell_display_mode` is set to `trend`).trend_typeenumTrend type for the cell display mode options. Allowed enum values: `area,line,bars`y_scaleenumY scale for the cell display mode options. Allowed enum values: `shared,independent` conditional_formats[object]List of conditional formats.comparator [*required*]enumComparator to apply. Allowed enum values: `=,>,>=,<,<=`custom_bg_colorstringColor palette to apply to the background, same values available as palette.custom_fg_colorstringColor palette to apply to the foreground, same values available as palette.hide_valuebooleanTrue hides values.image_urlstringDisplays an image as the background.metricstringMetric from the request to correlate this conditional format with.palette [*required*]enumColor palette to apply. Allowed enum values: `blue,custom_bg,custom_image,custom_text,gray_on_white,grey,green,orange,red,red_on_white`Show 9 more`,white_on_gray,white_on_green,green_on_white,white_on_red,white_on_yellow,yellow_on_white,black_on_light_yellow,black_on_light_green,black_on_light_red`

timeframestringDefines the displayed timeframe.value [*required*]doubleValue for the comparator.formula [*required*]stringString expression built from queries, formulas, and functions. limitobjectOptions for limiting results returned.countint64Number of results to return.orderenumDirection of sort. Allowed enum values: `asc,desc`
default: `desc`
 number_formatobjectNumber format options for the widget. unit <oneOf>Number format unit. Option 1objectCanonical unit.per_unit_namestringThe name of the unit per item.typeenumThe type of unit scale. Allowed enum values: `canonical_unit`unit_namestringThe name of the unit. Option 2objectCustom unit.labelstringThe label for the custom unit.typeenumThe type of custom unit. Allowed enum values: `custom_unit_label` unit_scaleobjectThe definition of `NumberFormatUnitScale` object.typeenumThe type of unit scale. Allowed enum values: `canonical_unit`unit_namestringThe name of the unit. styleobjectStyling options for widget formulas.palettestringThe color palette used to display the formula. A guide to the available color palettes can be found at [https://docs.datadoghq.com/dashboards/guide/widget_colors](https://docs.datadoghq.com/dashboards/guide/widget_colors)palette_indexint64Index specifying which color to use within the palette. log_queryobject**DEPRECATED**: Deprecated - Use `queries` and `formulas` instead. computeobjectDefine computation for a log query.aggregation [*required*]stringThe aggregation method.facetstringFacet name.intervalint64Define a time interval in seconds. group_by[object]List of tag prefixes to group by in the case of a cluster check.facet [*required*]stringFacet name.limitint64Maximum number of items in the group. sortobjectDefine a sorting method.aggregation [*required*]stringThe aggregation method.facetstringFacet name.order [*required*]enumWidget sorting methods. Allowed enum values: `asc,desc`indexstringA coma separated-list of index names. Use "*" query all indexes at once. [Multiple Indexes](https://docs.datadoghq.com/logs/indexes/#multiple-indexes) multi_compute[object]This field is mutually exclusive with `compute`.aggregation [*required*]stringThe aggregation method.facetstringFacet name.intervalint64Define a time interval in seconds. searchobjectThe query being made on the logs.query [*required*]stringSearch value to apply. network_queryobject**DEPRECATED**: Deprecated - Use `queries` and `formulas` instead. computeobjectDefine computation for a log query.aggregation [*required*]stringThe aggregation method.facetstringFacet name.intervalint64Define a time interval in seconds. group_by[object]List of tag prefixes to group by in the case of a cluster check.facet [*required*]stringFacet name.limitint64Maximum number of items in the group. sortobjectDefine a sorting method.aggregation [*required*]stringThe aggregation method.facetstringFacet name.order [*required*]enumWidget sorting methods. Allowed enum values: `asc,desc`indexstringA coma separated-list of index names. Use "*" query all indexes at once. [Multiple Indexes](https://docs.datadoghq.com/logs/indexes/#multiple-indexes) multi_compute[object]This field is mutually exclusive with `compute`.aggregation [*required*]stringThe aggregation method.facetstringFacet name.intervalint64Define a time interval in seconds. searchobjectThe query being made on the logs.query [*required*]stringSearch value to apply. process_queryobject**DEPRECATED**: Deprecated - Use `queries` and `formulas` instead.filter_by[string]List of processes.limitint64Max number of items in the filter list.metric [*required*]stringYour chosen metric.search_bystringYour chosen search term. profile_metrics_queryobject**DEPRECATED**: Deprecated - Use `queries` and `formulas` instead. computeobjectDefine computation for a log query.aggregation [*required*]stringThe aggregation method.facetstringFacet name.intervalint64Define a time interval in seconds. group_by[object]List of tag prefixes to group by in the case of a cluster check.facet [*required*]stringFacet name.limitint64Maximum number of items in the group. sortobjectDefine a sorting method.aggregation [*required*]stringThe aggregation method.facetstringFacet name.order [*required*]enumWidget sorting methods. Allowed enum values: `asc,desc`indexstringA coma separated-list of index names. Use "*" query all indexes at once. [Multiple Indexes](https://docs.datadoghq.com/logs/indexes/#multiple-indexes) multi_compute[object]This field is mutually exclusive with `compute`.aggregation [*required*]stringThe aggregation method.facetstringFacet name.intervalint64Define a time interval in seconds. searchobjectThe query being made on the logs.query [*required*]stringSearch value to apply.qstring**DEPRECATED**: Widget query. Deprecated - Use `queries` and `formulas` instead. queries[ <oneOf>]List of queries that can be returned directly or used in formulas. Option 1objectA formula and functions metrics query.aggregatorenumThe aggregation methods available for metrics queries. Allowed enum values: `avg,min,max,sum,last,area,l2norm,percentile`cross_org_uuids[string]The source organization UUID for cross organization queries. Feature in Private Beta.data_source [*required*]enumData source for metrics queries. Allowed enum values: `metrics`name [*required*]stringName of the query for use in formulas.query [*required*]stringMetrics query definition.semantic_modeenumSemantic mode for metrics queries. This determines how metrics from different sources are combined or displayed. Allowed enum values: `combined,native` Option 2objectA formula and functions events query. compute [*required*]objectCompute options.aggregation [*required*]enumAggregation methods for event platform queries. Allowed enum values: `count,cardinality,median,pc75,pc90,pc95,pc98,pc99,sum,min`Show 2 more`,max,avg`

intervalint64A time interval in milliseconds.metricstringMeasurable attribute to compute.cross_org_uuids[string]The source organization UUID for cross organization queries. Feature in Private Beta.data_source [*required*]enumData source for event platform-based queries. Allowed enum values: `logs,spans,network,rum,security_signals,profiles,audit,events,ci_tests,ci_pipelines`Show 3 more`,incident_analytics,product_analytics,on_call_events`

 group_by <oneOf>Group by configuration for a formula and functions events query. Accepts either a list of facet objects or a flat object that specifies a list of facet fields. Option 1[object]List of objects used to group by.facet [*required*]stringEvent facet.limitint64Number of groups to return. sortobjectOptions for sorting group by results.aggregation [*required*]enumAggregation methods for event platform queries. Allowed enum values: `count,cardinality,median,pc75,pc90,pc95,pc98,pc99,sum,min`Show 2 more`,max,avg`

metricstringMetric used for sorting group by results.orderenumDirection of sort. Allowed enum values: `asc,desc`
default: `desc`
 Option 2objectFlat group by configuration using multiple event facet fields.fields [*required*][string]List of event facets to group by.limitint64Number of groups to return. sortobjectOptions for sorting group by results.aggregation [*required*]enumAggregation methods for event platform queries. Allowed enum values: `count,cardinality,median,pc75,pc90,pc95,pc98,pc99,sum,min`Show 2 more`,max,avg`

metricstringMetric used for sorting group by results.orderenumDirection of sort. Allowed enum values: `asc,desc`
default: `desc`
indexes[string]An array of index names to query in the stream. Omit or use `[]` to query all indexes at once.name [*required*]stringName of the query for use in formulas. searchobjectSearch options.query [*required*]stringEvents search string.storagestringOption for storage location. Feature in Private Beta. Option 3objectProcess query using formulas and functions.aggregatorenumThe aggregation methods available for metrics queries. Allowed enum values: `avg,min,max,sum,last,area,l2norm,percentile`cross_org_uuids[string]The source organization UUID for cross organization queries. Feature in Private Beta.data_source [*required*]enumData sources that rely on the process backend. Allowed enum values: `process,container`is_normalized_cpubooleanWhether to normalize the CPU percentages.limitint64Number of hits to return.metric [*required*]stringProcess metric name.name [*required*]stringName of query for use in formulas.sortenumDirection of sort. Allowed enum values: `asc,desc`
default: `desc`
tag_filters[string]An array of tags to filter by.text_filterstringText to use as filter. Option 4objectA formula and functions APM dependency stats query.cross_org_uuids[string]The source organization UUID for cross organization queries. Feature in Private Beta.data_source [*required*]enumData source for APM dependency stats queries. Allowed enum values: `apm_dependency_stats`env [*required*]stringAPM environment.is_upstreambooleanDetermines whether stats for upstream or downstream dependencies should be queried.name [*required*]stringName of query to use in formulas.operation_name [*required*]stringName of operation on service.primary_tag_namestringThe name of the second primary tag used within APM; required when `primary_tag_value` is specified. See [https://docs.datadoghq.com/tracing/guide/setting_primary_tags_to_scope/#add-a-second-primary-tag-in-datadog](https://docs.datadoghq.com/tracing/guide/setting_primary_tags_to_scope/#add-a-second-primary-tag-in-datadog).primary_tag_valuestringFilter APM data by the second primary tag. `primary_tag_name` must also be specified.resource_name [*required*]stringAPM resource.service [*required*]stringAPM service.stat [*required*]enumAPM statistic. Allowed enum values: `avg_duration,avg_root_duration,avg_spans_per_trace,error_rate,pct_exec_time,pct_of_traces,total_traces_count` Option 5objectAPM resource stats query using formulas and functions.cross_org_uuids[string]The source organization UUID for cross organization queries. Feature in Private Beta.data_source [*required*]enumData source for APM resource stats queries. Allowed enum values: `apm_resource_stats`env [*required*]stringAPM environment.group_by[string]Array of fields to group results by.name [*required*]stringName of this query to use in formulas.operation_namestringName of operation on service.primary_tag_namestringName of the second primary tag used within APM. Required when `primary_tag_value` is specified. See [https://docs.datadoghq.com/tracing/guide/setting_primary_tags_to_scope/#add-a-second-primary-tag-in-datadog](https://docs.datadoghq.com/tracing/guide/setting_primary_tags_to_scope/#add-a-second-primary-tag-in-datadog)primary_tag_valuestringValue of the second primary tag by which to filter APM data. `primary_tag_name` must also be specified.resource_namestringAPM resource name.service [*required*]stringAPM service name.stat [*required*]enumAPM resource stat name. Allowed enum values: `errors,error_rate,hits,latency_avg,latency_distribution,latency_max,latency_p50,latency_p75,latency_p90,latency_p95`Show 1 more`,latency_p99`

 Option 6objectA formula and functions APM metrics query.data_source [*required*]enumData source for APM metrics queries. Allowed enum values: `apm_metrics`group_by[string]Optional fields to group the query results by.name [*required*]stringName of this query to use in formulas.operation_modestringOptional operation mode to aggregate across operation names.operation_namestringName of operation on service. If not provided, the primary operation name is used.peer_tags[string]Tags to query for a specific downstream entity (peer.service, peer.db_instance, peer.s3, peer.s3.bucket, etc.).query_filterstringAdditional filters for the query using metrics query syntax (e.g., env, primary_tag).resource_hashstringThe hash of a specific resource to filter by.resource_namestringThe full name of a specific resource to filter by.servicestringAPM service name.span_kindenumDescribes the relationship between the span, its parents, and its children in a trace. Allowed enum values: `consumer,server,client,producer,internal`stat [*required*]enumAPM metric stat name. Allowed enum values: `errors,error_rate,errors_per_second,latency_avg,latency_max,latency_p50,latency_p75,latency_p90,latency_p95,latency_p99`Show 6 more`,latency_p999,latency_distribution,hits,hits_per_second,total_time,apdex`

 Option 7objectA formula and functions metrics query.additional_query_filtersstringAdditional filters applied to the SLO query.cross_org_uuids[string]The source organization UUID for cross organization queries. Feature in Private Beta.data_source [*required*]enumData source for SLO measures queries. Allowed enum values: `slo`group_modeenumGroup mode to query measures. Allowed enum values: `overall,components`measure [*required*]enumSLO measures queries. Allowed enum values: `good_events,bad_events,good_minutes,bad_minutes,slo_status,error_budget_remaining,burn_rate,error_budget_burndown`namestringName of the query for use in formulas.slo_id [*required*]stringID of an SLO to query measures.slo_query_typeenumName of the query for use in formulas. Allowed enum values: `metric,monitor,time_slice` Option 8objectA formula and functions Cloud Cost query.aggregatorenumAggregator used for the request. Allowed enum values: `avg,last,max,min,sum,percentile`cross_org_uuids[string]The source organization UUID for cross organization queries. Feature in Private Beta.data_source [*required*]enumData source for Cloud Cost queries. Allowed enum values: `cloud_cost`name [*required*]stringName of the query for use in formulas.query [*required*]stringQuery for Cloud Cost data. queryobjectA formula and functions metrics query.aggregatorenumThe aggregation methods available for metrics queries. Allowed enum values: `avg,min,max,sum,last,area,l2norm,percentile`cross_org_uuids[string]The source organization UUID for cross organization queries. Feature in Private Beta.data_source [*required*]enumData source for metrics queries. Allowed enum values: `metrics`name [*required*]stringName of the query for use in formulas.query [*required*]stringMetrics query definition.semantic_modeenumSemantic mode for metrics queries. This determines how metrics from different sources are combined or displayed. Allowed enum values: `combined,native`request_typeenumApplicable only for distribution of point values for distribution metrics. Allowed enum values: `histogram`response_formatenumApplicable only for distribution of aggregated grouped queries. Allowed enum values: `timeseries,scalar,event_list` rum_queryobject**DEPRECATED**: Deprecated - Use `queries` and `formulas` instead. computeobjectDefine computation for a log query.aggregation [*required*]stringThe aggregation method.facetstringFacet name.intervalint64Define a time interval in seconds. group_by[object]List of tag prefixes to group by in the case of a cluster check.facet [*required*]stringFacet name.limitint64Maximum number of items in the group. sortobjectDefine a sorting method.aggregation [*required*]stringThe aggregation method.facetstringFacet name.order [*required*]enumWidget sorting methods. Allowed enum values: `asc,desc`indexstringA coma separated-list of index names. Use "*" query all indexes at once. [Multiple Indexes](https://docs.datadoghq.com/logs/indexes/#multiple-indexes) multi_compute[object]This field is mutually exclusive with `compute`.aggregation [*required*]stringThe aggregation method.facetstringFacet name.intervalint64Define a time interval in seconds. searchobjectThe query being made on the logs.query [*required*]stringSearch value to apply. security_queryobject**DEPRECATED**: Deprecated - Use `queries` and `formulas` instead. computeobjectDefine computation for a log query.aggregation [*required*]stringThe aggregation method.facetstringFacet name.intervalint64Define a time interval in seconds. group_by[object]List of tag prefixes to group by in the case of a cluster check.facet [*required*]stringFacet name.limitint64Maximum number of items in the group. sortobjectDefine a sorting method.aggregation [*required*]stringThe aggregation method.facetstringFacet name.order [*required*]enumWidget sorting methods. Allowed enum values: `asc,desc`indexstringA coma separated-list of index names. Use "*" query all indexes at once. [Multiple Indexes](https://docs.datadoghq.com/logs/indexes/#multiple-indexes) multi_compute[object]This field is mutually exclusive with `compute`.aggregation [*required*]stringThe aggregation method.facetstringFacet name.intervalint64Define a time interval in seconds. searchobjectThe query being made on the logs.query [*required*]stringSearch value to apply. styleobjectWidget style definition.palettestringColor palette to apply to the widget.show_legendbooleanWhether or not to display the legend on this widget. time <oneOf>Time setting for the widget. Option 1objectWrapper for live spanhide_incomplete_cost_databooleanWhether to hide incomplete cost data in the widget.live_spanenumThe available timeframes depend on the widget you are using. Allowed enum values: `1m,5m,10m,15m,30m,1h,4h,1d,2d,1w`Show 7 more`,1mo,3mo,6mo,week_to_date,month_to_date,1y,alert`

 Option 2objectUsed for arbitrary live span times, such as 17 minutes or 6 hours.hide_incomplete_cost_databooleanWhether to hide incomplete cost data in the widget.type [*required*]enumType "live" denotes a live span in the new format. Allowed enum values: `live`unit [*required*]enumUnit of the time span. Allowed enum values: `minute,hour,day,week,month,year`value [*required*]int64Value of the time span. Option 3objectUsed for fixed span times, such as 'March 1 to March 7'.from [*required*]int64Start time in milliseconds since epoch.hide_incomplete_cost_databooleanWhether to hide incomplete cost data in the widget.to [*required*]int64End time in milliseconds since epoch.type [*required*]enumType "fixed" denotes a fixed span. Allowed enum values: `fixed`titlestringTitle of the widget.title_alignenumHow to align the text on the widget. Allowed enum values: `center,left,right`title_sizestringSize of the title.type [*required*]enumType of the heat map widget. Allowed enum values: `heatmap`
default: `heatmap`
 xaxisobjectX Axis controls for the heat map widget.num_bucketsint64Number of time buckets to target, also known as the resolution of the time bins. This is only applicable for distribution of points (group distributions use the roll-up modifier). yaxisobjectAxis controls for the widget.include_zerobooleanSet to `true` to include zero.labelstringThe label of the axis to display on the graph. Only usable on Scatterplot Widgets.maxstringSpecifies maximum numeric value to show on the axis. Defaults to `auto`.
default: `auto`
minstringSpecifies minimum numeric value to show on the axis. Defaults to `auto`.
default: `auto`
scalestringSpecifies the scale type. Possible values are `linear`, `log`, `sqrt`, and `pow##` (for example `pow2` or `pow0.5`).
default: `linear`
{% /tab %}

{% tab title="example" %}

```json
{
  "custom_links": [
    {
      "is_hidden": false,
      "label": "Search logs for {{host}}",
      "link": "https://app.datadoghq.com/logs?query={{host}}",
      "override_label": "logs"
    }
  ],
  "description": "string",
  "events": [
    {
      "q": "",
      "tags_execution": "string"
    }
  ],
  "legend_size": "string",
  "markers": [
    {
      "display_type": "error dashed",
      "label": "Error threshold",
      "time": "string",
      "value": "y = 15"
    }
  ],
  "requests": [
    {
      "apm_query": {
        "compute": {
          "aggregation": "avg",
          "facet": "@duration",
          "interval": 5000
        },
        "group_by": [
          {
            "facet": "resource_name",
            "limit": 50,
            "sort": {
              "aggregation": "avg",
              "facet": "@string_query.interval",
              "order": "desc"
            }
          }
        ],
        "index": "days-3,days-7",
        "multi_compute": [
          {
            "aggregation": "avg",
            "facet": "@duration",
            "interval": 5000
          }
        ],
        "search": {
          "query": ""
        }
      },
      "event_query": {
        "search": "",
        "tags_execution": ""
      },
      "formulas": [
        {
          "alias": "string",
          "cell_display_mode": "number",
          "cell_display_mode_options": {
            "trend_type": "area",
            "y_scale": "shared"
          },
          "conditional_formats": [
            {
              "comparator": ">",
              "custom_bg_color": "string",
              "custom_fg_color": "string",
              "hide_value": false,
              "image_url": "string",
              "metric": "string",
              "palette": "blue",
              "timeframe": "string",
              "value": 0
            }
          ],
          "formula": "func(a) + b",
          "limit": {
            "count": "integer",
            "order": "string"
          },
          "number_format": {
            "unit": {
              "per_unit_name": "bytes",
              "type": "canonical_unit",
              "unit_name": "bytes"
            },
            "unit_scale": {
              "type": "canonical_unit",
              "unit_name": "bytes"
            }
          },
          "style": {
            "palette": "classic",
            "palette_index": 1
          }
        }
      ],
      "log_query": {
        "compute": {
          "aggregation": "avg",
          "facet": "@duration",
          "interval": 5000
        },
        "group_by": [
          {
            "facet": "resource_name",
            "limit": 50,
            "sort": {
              "aggregation": "avg",
              "facet": "@string_query.interval",
              "order": "desc"
            }
          }
        ],
        "index": "days-3,days-7",
        "multi_compute": [
          {
            "aggregation": "avg",
            "facet": "@duration",
            "interval": 5000
          }
        ],
        "search": {
          "query": ""
        }
      },
      "network_query": {
        "compute": {
          "aggregation": "avg",
          "facet": "@duration",
          "interval": 5000
        },
        "group_by": [
          {
            "facet": "resource_name",
            "limit": 50,
            "sort": {
              "aggregation": "avg",
              "facet": "@string_query.interval",
              "order": "desc"
            }
          }
        ],
        "index": "days-3,days-7",
        "multi_compute": [
          {
            "aggregation": "avg",
            "facet": "@duration",
            "interval": 5000
          }
        ],
        "search": {
          "query": ""
        }
      },
      "process_query": {
        "filter_by": [],
        "limit": "integer",
        "metric": "system.load.1",
        "search_by": "string"
      },
      "profile_metrics_query": {
        "compute": {
          "aggregation": "avg",
          "facet": "@duration",
          "interval": 5000
        },
        "group_by": [
          {
            "facet": "resource_name",
            "limit": 50,
            "sort": {
              "aggregation": "avg",
              "facet": "@string_query.interval",
              "order": "desc"
            }
          }
        ],
        "index": "days-3,days-7",
        "multi_compute": [
          {
            "aggregation": "avg",
            "facet": "@duration",
            "interval": 5000
          }
        ],
        "search": {
          "query": ""
        }
      },
      "q": "jvm.heap.memory",
      "queries": [],
      "query": {
        "aggregator": "avg",
        "cross_org_uuids": [
          "6434abde-xxxx-yyyy-zzzz-da7ad0900001"
        ],
        "data_source": "metrics",
        "name": "my_query",
        "query": "avg:system.cpu.user{*}",
        "semantic_mode": "combined"
      },
      "request_type": "histogram",
      "response_format": "timeseries",
      "rum_query": {
        "compute": {
          "aggregation": "avg",
          "facet": "@duration",
          "interval": 5000
        },
        "group_by": [
          {
            "facet": "resource_name",
            "limit": 50,
            "sort": {
              "aggregation": "avg",
              "facet": "@string_query.interval",
              "order": "desc"
            }
          }
        ],
        "index": "days-3,days-7",
        "multi_compute": [
          {
            "aggregation": "avg",
            "facet": "@duration",
            "interval": 5000
          }
        ],
        "search": {
          "query": ""
        }
      },
      "security_query": {
        "compute": {
          "aggregation": "avg",
          "facet": "@duration",
          "interval": 5000
        },
        "group_by": [
          {
            "facet": "resource_name",
            "limit": 50,
            "sort": {
              "aggregation": "avg",
              "facet": "@string_query.interval",
              "order": "desc"
            }
          }
        ],
        "index": "days-3,days-7",
        "multi_compute": [
          {
            "aggregation": "avg",
            "facet": "@duration",
            "interval": 5000
          }
        ],
        "search": {
          "query": ""
        }
      },
      "style": {
        "palette": "string"
      }
    }
  ],
  "show_legend": false,
  "time": {
    "hide_incomplete_cost_data": false,
    "live_span": "5m"
  },
  "title": "string",
  "title_align": "string",
  "title_size": "string",
  "type": "heatmap",
  "xaxis": {
    "num_buckets": "integer"
  },
  "yaxis": {
    "include_zero": false,
    "label": "string",
    "max": "string",
    "min": "string",
    "scale": "string"
  }
}
```

{% /tab %}

{% /tab %}

## Further Reading{% #further-reading %}

- [Learn more about heatmaps](https://docs.datadoghq.com/product_analytics/heatmaps/)
- [Building Dashboards using JSON](https://docs.datadoghq.com/dashboards/graphing_json/)
- [Visualize user behavior with Datadog Heatmaps](https://www.datadoghq.com/blog/visualize-behavior-datadog-heatmaps/)
