BrandReviewSummary

Description

A summary of publicly available customer reviews across the operating locations associated with a brand.

Time Structure

This attribute reflects the latest available review summary for each associated operating location. It does not currently include a time series.

Data Sources

This attribute is derived from:

Brand to operating location relationships
The latest review summary for each associated operating location

Methodology

The review count is the sum of review counts across contributing operating locations. The average review score is weighted by each location's review count. Locations without a usable current review summary do not contribute to either value.

type BrandReviewSummary implements NodeFunctions {
  id: UUID!
  firstObservedDate: String
  lastObservedDate: String
  rank: Int
  reviewCount: String
  reviewScoreAvg: String
  firstReviewDate: Date
  lastReviewDate: Date
  internalId: String
  internalBrandId: String
  count(
    field: String!
    conditions: Conditions
    dataLayer: DataLayer
  ): Int
  countDistinct(
    field: String!
    conditions: Conditions
  ): Int
  has(
    field: String!
    conditions: Conditions
  ): Boolean
  sum(
    field: String!
    conditions: Conditions
  ): Int
  min(
    field: String!
    conditions: Conditions
  ): Int
  max(
    field: String!
    conditions: Conditions
  ): Int
  avg(
    field: String!
    conditions: Conditions
  ): Float
  collect(
    field: String!
    separator: String
    conditions: Conditions
  ): String
  minDateTime(
    field: String!
    conditions: Conditions
  ): DateTime
  maxDateTime(
    field: String!
    conditions: Conditions
  ): DateTime
  _fn: JSON
}

Fields

`BrandReviewSummary.id` ● `UUID!` non-null scalar

`BrandReviewSummary.firstObservedDate` ● `String` scalar

`BrandReviewSummary.lastObservedDate` ● `String` scalar

`BrandReviewSummary.rank` ● `Int` scalar

Determines the display order of the attribute, with lower values shown first

`BrandReviewSummary.reviewCount` ● `String` scalar

The sum of review counts from the latest available review summary for each contributing operating location associated with the brand.

`BrandReviewSummary.reviewScoreAvg` ● `String` scalar

The review-count-weighted average score from the latest available review summary for each contributing operating location associated with the brand.

`BrandReviewSummary.firstReviewDate` ● `Date` scalar

The earliest reliable first review date across the brand's locations. If no location has a reliable first_review_date, the field will be null.

`BrandReviewSummary.lastReviewDate` ● `Date` scalar

The latest review date reported by a contributing operating location.

`BrandReviewSummary.internalId` ● `String` scalar

`BrandReviewSummary.internalBrandId` ● `String` scalar

`BrandReviewSummary.count` ● `Int` scalar

`BrandReviewSummary.count.field` ● `String!` non-null scalar

`BrandReviewSummary.count.conditions` ● `Conditions` input

`BrandReviewSummary.count.dataLayer` ● `DataLayer` enum

The layer of records count(field: "records") counts on a search's own legal entities, persons and addresses and on the Record a search with entityType RECORD returns; UNGROUNDED on a legal entity, person or address below a search's own results is an error, and every other count ignores dataLayer. GROUNDED counts the records linked in the graph; UNGROUNDED counts gov-archive store records: on a legal entity, person or address, each record once whose asserted entity's value is wholly, case and separators aside, one of its names or its full address (ACME INC counts no record of ACME INC OF TEXAS), and on that Record, every record the store finds for the search. Without dataLayer, GROUNDED, but on the Record of an UNGROUNDED search the records of both, a record in both counted once. Null, with an error, where the records cannot all be counted, such as past 5 seconds or on a result with more than 20 values.