# Source: https://docs.datadoghq.com/dashboards/widgets/scatter_plot.md

---
title: Scatter Plot Widget
description: >-
  Graph a chosen scope over two different metrics with their respective
  aggregation
breadcrumbs: Docs > Dashboards > Widgets > Scatter Plot Widget
---

# Scatter Plot Widget

A scatter plot identifies a possible relationship between changes observed in two different sets of variables. It provides a visual and statistical means to test the strength of a relationship between two variables. The scatter plot visualization allows you to graph a chosen scope over two different metrics with their respective aggregations.

{% image
   source="https://datadog-docs.imgix.net/images/dashboards/widgets/scatterplot/scatterplot.288411c3eb21025bd011c9b5acc6e692.png?auto=format"
   alt="Scatter Plot" /%}

## Setup{% #setup %}

### Configuration{% #configuration %}

1. Select a metric or other data set, and an aggregation for the X and Y axis.
1. Define the scope for each point of the scatter plot, such as `host`, `service`, `app`, or `region`.
1. Optional: enable a color-by tag.
1. Optional: set X and Y axis controls.
1. Choose whether your widget has a custom timeframe or the dashboard's global timeframe.
1. Give your graph a title or leave the box blank for the suggested title.

### Options{% #options %}

#### Context links{% #context-links %}

[Context links](https://docs.datadoghq.com/dashboards/guide/context-links/) are enabled by default, and can be toggled on or off. Context links bridge dashboard widgets with other pages in Datadog, or third party applications.

#### Global time{% #global-time %}

Choose whether your widget has a custom timeframe or the dashboard's global timeframe.

## 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 AllFieldTypeDescriptioncolor_by_groups[string]List of groups used for colors. 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`. requests [*required*]objectWidget definition. tableobjectScatterplot request containing formulas and functions. formulas[object]List of Scatterplot formulas that operate on queries.aliasstringExpression alias.dimension [*required*]enumDimension of the Scatterplot. Allowed enum values: `x,y,radius,color`formula [*required*]stringString expression built from queries, formulas, and functions. 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,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,incident_analytics,product_analytics,on_call_events` group_by[object]Group by options.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,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,latency_p99` Option 6objectA 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 7objectA 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.response_formatenumTimeseries, scalar, or event list response. Event list response formats are supported by Geomap widgets. Allowed enum values: `timeseries,scalar,event_list` xobjectUpdated scatter plot.aggregatorenumAggregator used for the request. Allowed enum values: `avg,last,max,min,sum` apm_queryobjectThe log query. 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_queryobjectThe log query. 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. log_queryobjectThe log query. 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_queryobjectThe log query. 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_queryobjectThe process query to use in the widget.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_queryobjectThe log query. 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.qstringQuery definition. rum_queryobjectThe log query. 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_queryobjectThe log query. 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. yobjectUpdated scatter plot.aggregatorenumAggregator used for the request. Allowed enum values: `avg,last,max,min,sum` apm_queryobjectThe log query. 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_queryobjectThe log query. 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. log_queryobjectThe log query. 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_queryobjectThe log query. 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_queryobjectThe process query to use in the widget.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_queryobjectThe log query. 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.qstringQuery definition. rum_queryobjectThe log query. 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_queryobjectThe log query. 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. 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,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 seconds since epoch.hide_incomplete_cost_databooleanWhether to hide incomplete cost data in the widget.to [*required*]int64End time in seconds since epoch.type [*required*]enumType "fixed" denotes a fixed span. Allowed enum values: `fixed`titlestringTitle of your 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 scatter plot widget. Allowed enum values: `scatterplot`
default: `scatterplot`
 xaxisobjectAxis 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`
 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
{
  "color_by_groups": [],
  "custom_links": [
    {
      "is_hidden": false,
      "label": "Search logs for {{host}}",
      "link": "https://app.datadoghq.com/logs?query={{host}}",
      "override_label": "logs"
    }
  ],
  "requests": {
    "table": {
      "formulas": [
        {
          "alias": "my-query",
          "dimension": "radius",
          "formula": "func(a) + b"
        }
      ],
      "queries": [
        {
          "aggregator": "avg",
          "cross_org_uuids": [
            "6434abde-xxxx-yyyy-zzzz-da7ad0900001"
          ],
          "data_source": "metrics",
          "name": "my_query",
          "query": "avg:system.cpu.user{*}",
          "semantic_mode": "combined"
        }
      ],
      "response_format": "timeseries"
    },
    "x": {
      "aggregator": "string",
      "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": {
        "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": ""
        }
      },
      "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": "string",
      "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": ""
        }
      }
    },
    "y": {
      "aggregator": "string",
      "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": {
        "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": ""
        }
      },
      "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": "string",
      "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": ""
        }
      }
    }
  },
  "time": {
    "hide_incomplete_cost_data": false,
    "live_span": "5m"
  },
  "title": "string",
  "title_align": "string",
  "title_size": "string",
  "type": "scatterplot",
  "xaxis": {
    "include_zero": false,
    "label": "string",
    "max": "string",
    "min": "string",
    "scale": "string"
  },
  "yaxis": {
    "include_zero": false,
    "label": "string",
    "max": "string",
    "min": "string",
    "scale": "string"
  }
}
```

{% /tab %}

{% /tab %}

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

- [Building Dashboards using JSON](https://docs.datadoghq.com/dashboards/graphing_json/)