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Boxplot Aggregation Usage
editBoxplot Aggregation Usage
editA boxplot metrics aggregation that computes boxplot of numeric values extracted from the aggregated documents. These values can be generated by a provided script or extracted from specific numeric or histogram fields in the documents.
boxplot aggregation returns essential information for making a box plot: minimum, maximum median, first quartile (25th percentile) and third quartile (75th percentile) values.
Be sure to read the Elasticsearch documentation on Boxplot Aggregation
Fluent DSL example
edita => a .Boxplot("boxplot_commits", plot => plot .Meta(m => m .Add("foo", "bar") ) .Field(p => p.NumberOfCommits) .Missing(10) .Compression(100) )
Object Initializer syntax example
editnew BoxplotAggregation("boxplot_commits", Field<Project>(p => p.NumberOfCommits)) { Meta = new Dictionary<string, object> { { "foo", "bar" } }, Missing = 10, Compression = 100 }
Example json output.
{ "boxplot_commits": { "meta": { "foo": "bar" }, "boxplot": { "field": "numberOfCommits", "missing": 10.0, "compression": 100.0 } } }
Handling Responses
editresponse.ShouldBeValid(); var boxplot = response.Aggregations.Boxplot("boxplot_commits"); boxplot.Should().NotBeNull(); boxplot.Min.Should().BeGreaterOrEqualTo(0); boxplot.Max.Should().BeGreaterOrEqualTo(0); boxplot.Q1.Should().BeGreaterOrEqualTo(0); boxplot.Q2.Should().BeGreaterOrEqualTo(0); boxplot.Q3.Should().BeGreaterOrEqualTo(0); boxplot.Lower.Should().BeGreaterOrEqualTo(0); boxplot.Upper.Should().BeGreaterOrEqualTo(0); boxplot.Meta.Should().NotBeNull().And.HaveCount(1); boxplot.Meta["foo"].Should().Be("bar");