Splunk timechart9/11/2023 For instance, we could measure outliers in megabytes going out of a network OR # of logins in a applications using the using the same type of Splunk query. Downloading this data set is not important, any sample time series data that we would like to measure for outliers is valid for the purposes of this blog. To gain access to this data please click here. The data used in this blog is Splunk’s open sourced “Bots 2.0” dataset from 2017. Stats: Calculates Aggregate Statistics such as count, distinct count, sum, avg over all the data points in a particular field(s).This feature is undoubtedly useful to calculate ‘Moving Average’ in additional to ordering events Streamstats: Similar to ‘stats’, streamstats calculates statistics at the time the event is seen (as the name implies). ![]() It is great for generating statistics on ‘ALL’ events
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