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 is implemented by several interfaces, including `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`, showing it is a robustly designed class."],["The document lists all versions of this config from version 2.15.0 to 4.16.0, with links to each version's specific documentation."],["The `Field` property is outlined, indicating it is how you determine the column to perform the stats on, with a description of the supported types."]]],[]]