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How can LINQ's GroupBy and Count methods be used for data aggregation?

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Release: 2025-01-22 00:51:11
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How can LINQ's GroupBy and Count methods be used for data aggregation?

Use LINQ’s GroupBy and Count methods for data aggregation

The GroupBy operator in LINQ is a powerful tool for aggregating data based on specified keys. Combined with the Count() method, it can be used to count the occurrences of grouped values.

Assume the following scenario: You have a dataset called UserInfo, which contains records of metrics and other information for users. To retrieve the number of metric occurrences, you need to group the data by the metric and count the number of records in each grouping.

<code class="language-c#">// 示例数据集
List<userinfo> data = new List<userinfo>
{
    new UserInfo { Name = "joe", Metric = 1, Day = "01/01/2011" },
    new UserInfo { Name = "jane", Metric = 0, Day = "01/02/2011" },
    new UserInfo { Name = "john", Metric = 2, Day = "01/03/2011" },
    new UserInfo { Name = "jim", Metric = 3, Day = "01/04/2011" }
};</code>
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Here's how to achieve the desired result using LINQ's GroupBy and Count:

<code class="language-c#">var metricCounts = data.GroupBy(info => info.Metric)
                        .Select(group => new { Metric = group.Key, Count = group.Count() })
                        .OrderBy(x => x.Metric);

foreach (var line in metricCounts)
{
    Console.WriteLine($"{line.Metric} {line.Count}");
}</code>
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In this code, the GroupBy() operator groups data by Metric properties, creating a collection of IEnumerable objects. The Select() operator then projects each group into an anonymous type with Metric and Count properties. Finally, the OrderBy() operator sorts the results in ascending order by Metric value.

The output of this code will be:

<code>0 1
1 1
2 1
3 1</code>
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This demonstrates how to use LINQ to efficiently retrieve aggregated data by grouping and counting values. By understanding the use of GroupBy and Count, you can effectively manipulate and summarize data in your application.

Please note that the count of Metric=0 in the sample data is different in the original article and the modified version, which may be an error in the original article. The modified version is more consistent with the output of the code.

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