public sealed class CategoricalStatsConfig : IMessage<PrivacyMetric.Types.CategoricalStatsConfig>, IEquatable<PrivacyMetric.Types.CategoricalStatsConfig>, IDeepCloneable<PrivacyMetric.Types.CategoricalStatsConfig>, IBufferMessage, IMessage
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 webpage provides documentation for the `CategoricalStatsConfig` class within the `Google.Cloud.Dlp.V2` namespace, part of the Google Cloud Data Loss Prevention (DLP) library."],["The `CategoricalStatsConfig` class is designed to compute numerical statistics, such as distinct value counts and distributions, for a specified column in a dataset."],["It is part of the `PrivacyMetric.Types` and includes functionality to construct the object, either using default values or by copying from an existing `CategoricalStatsConfig` instance."],["The documentation outlines the class's inheritance from `Object` and its implementation of several interfaces, such as `IMessage`, `IEquatable`, and `IDeepCloneable`."],["The available versions of the library are listed, ranging from the latest `4.16.0` down to `2.15.0`, alongside links to the specific documentation for `CategoricalStatsConfig` within those versions."]]],[]]
