public sealed class PrivacyMetric.Types.CategoricalStatsConfig : IMessage<PrivacyMetric.Types.CategoricalStatsConfig>, IEquatable<PrivacyMetric.Types.CategoricalStatsConfig>, IDeepCloneable<PrivacyMetric.Types.CategoricalStatsConfig>, IBufferMessage, IMessage
Reference documentation and code samples for the Google Cloud Data Loss Prevention v2 API class PrivacyMetric.Types.CategoricalStatsConfig.
Compute numerical stats over an individual column, including
number of distinct values and value count distribution.
Field to compute categorical stats on. All column types are
supported except for arrays and structs. However, it may be more
informative to use NumericalStats when the field type is supported,
depending on the data.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-03-24 UTC."],[[["This document provides reference documentation for the `PrivacyMetric.Types.CategoricalStatsConfig` class within the Google Cloud Data Loss Prevention v2 API."],["The `CategoricalStatsConfig` class is used to compute numerical statistics over a column, including the number of distinct values and the value count distribution."],["It supports most column types for stats computation, excluding arrays and structs, but recommends using `NumericalStats` for supported types for more informative data."],["The latest version available is 4.16.0, and the document covers versions down to 2.15.0, with 4.13.0 being the currently viewed version."],["The class inherits from an `object` class and implements `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage` interfaces."]]],[]]
