Reference documentation and code samples for the Google Analytics Data V1alpha API class Google::Analytics::Data::V1alpha::RunPivotReportResponse.
The response pivot report table corresponding to a pivot request.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#aggregates
def aggregates() -> ::Array<::Google::Analytics::Data::V1alpha::Row>
- (::Array<::Google::Analytics::Data::V1alpha::Row>) — Aggregation of metric values. Can be totals, minimums, or maximums. The returned aggregations are controlled by the metric_aggregations in the pivot. The type of aggregation returned in each row is shown by the dimension_values which are set to "RESERVED_
#aggregates=
def aggregates=(value) -> ::Array<::Google::Analytics::Data::V1alpha::Row>
- value (::Array<::Google::Analytics::Data::V1alpha::Row>) — Aggregation of metric values. Can be totals, minimums, or maximums. The returned aggregations are controlled by the metric_aggregations in the pivot. The type of aggregation returned in each row is shown by the dimension_values which are set to "RESERVED_
- (::Array<::Google::Analytics::Data::V1alpha::Row>) — Aggregation of metric values. Can be totals, minimums, or maximums. The returned aggregations are controlled by the metric_aggregations in the pivot. The type of aggregation returned in each row is shown by the dimension_values which are set to "RESERVED_
#dimension_headers
def dimension_headers() -> ::Array<::Google::Analytics::Data::V1alpha::DimensionHeader>
- (::Array<::Google::Analytics::Data::V1alpha::DimensionHeader>) — Describes dimension columns. The number of DimensionHeaders and ordering of DimensionHeaders matches the dimensions present in rows.
#dimension_headers=
def dimension_headers=(value) -> ::Array<::Google::Analytics::Data::V1alpha::DimensionHeader>
- value (::Array<::Google::Analytics::Data::V1alpha::DimensionHeader>) — Describes dimension columns. The number of DimensionHeaders and ordering of DimensionHeaders matches the dimensions present in rows.
- (::Array<::Google::Analytics::Data::V1alpha::DimensionHeader>) — Describes dimension columns. The number of DimensionHeaders and ordering of DimensionHeaders matches the dimensions present in rows.
#metadata
def metadata() -> ::Google::Analytics::Data::V1alpha::ResponseMetaData
- (::Google::Analytics::Data::V1alpha::ResponseMetaData) — Metadata for the report.
#metadata=
def metadata=(value) -> ::Google::Analytics::Data::V1alpha::ResponseMetaData
- value (::Google::Analytics::Data::V1alpha::ResponseMetaData) — Metadata for the report.
- (::Google::Analytics::Data::V1alpha::ResponseMetaData) — Metadata for the report.
#metric_headers
def metric_headers() -> ::Array<::Google::Analytics::Data::V1alpha::MetricHeader>
- (::Array<::Google::Analytics::Data::V1alpha::MetricHeader>) — Describes metric columns. The number of MetricHeaders and ordering of MetricHeaders matches the metrics present in rows.
#metric_headers=
def metric_headers=(value) -> ::Array<::Google::Analytics::Data::V1alpha::MetricHeader>
- value (::Array<::Google::Analytics::Data::V1alpha::MetricHeader>) — Describes metric columns. The number of MetricHeaders and ordering of MetricHeaders matches the metrics present in rows.
- (::Array<::Google::Analytics::Data::V1alpha::MetricHeader>) — Describes metric columns. The number of MetricHeaders and ordering of MetricHeaders matches the metrics present in rows.
#pivot_headers
def pivot_headers() -> ::Array<::Google::Analytics::Data::V1alpha::PivotHeader>
-
(::Array<::Google::Analytics::Data::V1alpha::PivotHeader>) —
Summarizes the columns and rows created by a pivot. Each pivot in the request produces one header in the response. If we have a request like this:
"pivots": [{ "fieldNames": ["country", "city"] }, { "fieldNames": "eventName" }]
We will have the following
pivotHeaders
in the response:"pivotHeaders" : [{ "dimensionHeaders": [{ "dimensionValues": [ { "value": "United Kingdom" }, { "value": "London" } ] }, { "dimensionValues": [ { "value": "Japan" }, { "value": "Osaka" } ] }] }, { "dimensionHeaders": [{ "dimensionValues": [{ "value": "session_start" }] }, { "dimensionValues": [{ "value": "scroll" }] }] }]
#pivot_headers=
def pivot_headers=(value) -> ::Array<::Google::Analytics::Data::V1alpha::PivotHeader>
-
value (::Array<::Google::Analytics::Data::V1alpha::PivotHeader>) —
Summarizes the columns and rows created by a pivot. Each pivot in the request produces one header in the response. If we have a request like this:
"pivots": [{ "fieldNames": ["country", "city"] }, { "fieldNames": "eventName" }]
We will have the following
pivotHeaders
in the response:"pivotHeaders" : [{ "dimensionHeaders": [{ "dimensionValues": [ { "value": "United Kingdom" }, { "value": "London" } ] }, { "dimensionValues": [ { "value": "Japan" }, { "value": "Osaka" } ] }] }, { "dimensionHeaders": [{ "dimensionValues": [{ "value": "session_start" }] }, { "dimensionValues": [{ "value": "scroll" }] }] }]
-
(::Array<::Google::Analytics::Data::V1alpha::PivotHeader>) —
Summarizes the columns and rows created by a pivot. Each pivot in the request produces one header in the response. If we have a request like this:
"pivots": [{ "fieldNames": ["country", "city"] }, { "fieldNames": "eventName" }]
We will have the following
pivotHeaders
in the response:"pivotHeaders" : [{ "dimensionHeaders": [{ "dimensionValues": [ { "value": "United Kingdom" }, { "value": "London" } ] }, { "dimensionValues": [ { "value": "Japan" }, { "value": "Osaka" } ] }] }, { "dimensionHeaders": [{ "dimensionValues": [{ "value": "session_start" }] }, { "dimensionValues": [{ "value": "scroll" }] }] }]
#property_quota
def property_quota() -> ::Google::Analytics::Data::V1alpha::PropertyQuota
- (::Google::Analytics::Data::V1alpha::PropertyQuota) — This Analytics Property's quota state including this request.
#property_quota=
def property_quota=(value) -> ::Google::Analytics::Data::V1alpha::PropertyQuota
- value (::Google::Analytics::Data::V1alpha::PropertyQuota) — This Analytics Property's quota state including this request.
- (::Google::Analytics::Data::V1alpha::PropertyQuota) — This Analytics Property's quota state including this request.
#rows
def rows() -> ::Array<::Google::Analytics::Data::V1alpha::Row>
- (::Array<::Google::Analytics::Data::V1alpha::Row>) — Rows of dimension value combinations and metric values in the report.
#rows=
def rows=(value) -> ::Array<::Google::Analytics::Data::V1alpha::Row>
- value (::Array<::Google::Analytics::Data::V1alpha::Row>) — Rows of dimension value combinations and metric values in the report.
- (::Array<::Google::Analytics::Data::V1alpha::Row>) — Rows of dimension value combinations and metric values in the report.