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Splunk Enterprise version 6.x is no longer supported as of October 23, 2019. See the Splunk Software Support Policy for details. For information about upgrading to a supported version, see How to upgrade Splunk Enterprise.
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About advanced statistics

The previous section shows you how to calculate basic statistics using stats, eval, and how to create sparkline charts.

In this section we discuss how to detect anomalies in your data. This could include finding outliers to identify anomalies or spikes in your data. You might want to remove outliers that unnecessarily skew your calculations or the way your charts plot the data. You can detect patterns in your data, grouping events based on how similar the events are to each other. If there are patterns and correlations to events that you monitor, you can use them to predict future activity. With this knowledge, you can proactively send alerts based on thresholds and perform "what-if" analyses to compare various scenarios. All of this and more is possible with advanced statistics.

See also

Use the stats command and functions

Use stats with eval expressions and functions

Add sparklines to report tables

Last modified on 20 November, 2015
Add sparklines to search results
Commands for advanced statistics

This documentation applies to the following versions of Splunk® Enterprise: 6.3.0

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