public sealed class 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 page provides reference documentation and code samples 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 distribution of value counts."],["The documentation covers multiple versions of the API, ranging from version 2.15.0 to the latest 4.16.0, allowing users to view the documentation according to their usage."],["The `CategoricalStatsConfig` class inherits from `Object` and implements several interfaces, including `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`."],["The public property, `Field`, of the class `CategoricalStatsConfig` is used to designate the field for which to compute categorical statistics, and supports all types of columns except for arrays and structs."]]],[]]
