Row

  • Report data is structured in rows, with each row containing dimension values and corresponding metric values.

  • Dimension values represent categories or attributes, like 'eventName' or 'countryId', while metric values represent quantitative data, like 'eventCount'.

  • The structure of the report allows for flexible data exploration by combining different dimensions and metrics.

  • Metric values can be of various types, including but not limited to string type and are stored under the 'one_value' field as a 'value' entry.

Report data for each row. For example if RunReportRequest contains:

"dimensions": [
  {
    "name": "eventName"
  },
  {
    "name": "countryId"
  }
],
"metrics": [
  {
    "name": "eventCount"
  }
]

One row with 'in_app_purchase' as the eventName, 'JP' as the countryId, and 15 as the eventCount, would be:

"dimensionValues": [
  {
    "value": "in_app_purchase"
  },
  {
    "value": "JP"
  }
],
"metricValues": [
  {
    "value": "15"
  }
]
JSON representation 
{
  "dimensionValues": [
    {
      object (DimensionValue)
    }
  ],
  "metricValues": [
    {
      object (MetricValue)
    }
  ]
}
Fields
dimensionValues[]

object (DimensionValue)

List of requested dimension values. In a PivotReport, dimensionValues are only listed for dimensions included in a pivot.
metricValues[]

object (MetricValue)

List of requested visible metric values.

MetricValue

The value of a metric.

JSON representation 
{

  // Union field one_value can be only one of the following:
  "value": string
  // End of list of possible types for union field one_value.
}
Fields
Union field one_value. One of metric value one_value can be only one of the following:
value

string

Measurement value. See MetricHeader for type.