public sealed class ReportSummary.Types.HistogramChartData : IMessage<ReportSummary.Types.HistogramChartData>, IEquatable<ReportSummary.Types.HistogramChartData>, IDeepCloneable<ReportSummary.Types.HistogramChartData>, IBufferMessage, IMessage
Reference documentation and code samples for the Migration Center v1 API class ReportSummary.Types.HistogramChartData.
A Histogram Chart shows a distribution of values into buckets, showing
a count of values which fall into a bucket.
public RepeatedField<ReportSummary.Types.HistogramChartData.Types.Bucket> Buckets { get; }
Buckets in the histogram.
There will be n+1 buckets matching n lower bounds in the request.
The first bucket will be from -infinity to the first bound.
Subsequent buckets will be between one bound and the next.
The final bucket will be from the final bound to infinity.
[[["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 2025-03-21 UTC."],[[["This documentation is for the `ReportSummary.Types.HistogramChartData` class, a part of the Google Cloud Migration Center v1 API, specifically version 1.1.0."],["`HistogramChartData` is used to display data distribution across different value ranges, with each bucket representing a specific range and the number of values within it."],["The class implements multiple interfaces including `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`, and inherits from the base `object` class."],["It includes constructors for creating new instances, either empty or by copying an existing `HistogramChartData` object."],["The `Buckets` property of `HistogramChartData` stores the individual buckets of the histogram, contained within a `RepeatedField`, which is crucial for understanding the data distribution."]]],[]]
