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@ -118,3 +118,5 @@ include::visualize/pie.asciidoc[]
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include::visualize/tilemap.asciidoc[]
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include::visualize/vertbar.asciidoc[]
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include::visualize/tagcloud.asciidoc[]
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docs/visualize/tagcloud.asciidoc
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docs/visualize/tagcloud.asciidoc
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[[tagcloud]]
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== Tag Cloud
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A tag cloud visualization is a visual representation of text data, typically used to visualize free form text.
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Tags are usually single words, and the importance of each tag is shown with font size or color.
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The font size for each word is determined by the _metrics_ aggregation. The following aggregations are available for
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this chart:
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include::y-axis-aggs.asciidoc[]
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The _buckets_ aggregations determine what information is being retrieved from your data set.
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Before you choose a buckets aggregation, select the *Split Tags* option.
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You can specify the following bucket aggregations for tag cloud visualization:
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*Terms*:: A {es-ref}search-aggregations-bucket-terms-aggregation.html[_terms_] aggregation enables you to specify the top
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or bottom _n_ elements of a given field to display, ordered by count or a custom metric.
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You can click the *Advanced* link to display more customization options for your metrics or bucket aggregation:
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*JSON Input*:: A text field where you can add specific JSON-formatted properties to merge with the aggregation
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definition, as in the following example:
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[source,shell]
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{ "script" : "doc['grade'].value * 1.2" }
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NOTE: In Elasticsearch releases 1.4.3 and later, this functionality requires you to enable
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{es-ref}modules-scripting.html[dynamic Groovy scripting].
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Select the *Options* tab to change the following aspects of the chart:
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*Text Scale*:: You can select *linear*, *log*, or *square root* scales for the text scale. You can use a log
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scale to display data that varies exponentially or a square root scale to
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regularize the display of data sets with variabilities that are themselves highly variable. This kind of data, where
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the variability is itself variable over the domain being examined, is known as _heteroscedastic_ data. For example, if
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a data set of height versus weight has a relatively narrow range of variability at the short end of height, but a wider
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range at the taller end, the data set is heteroscedastic.
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*Orientation*:: You can select how to orientate your text in the tag cloud. You can choose one of the following options:
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Single, right angles and multiple.
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*Font Size*:: Allows you to set minimum and maximum font size to use for this visualization.
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include::visualization-raw-data.asciidoc[]
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