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ReStructuredText
72 lines
1.9 KiB
ReStructuredText
:orphan:
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Package: base/frameworks/sumstats
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=================================
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The summary statistics framework provides a way to summarize large streams
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of data into simple reduced measurements.
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:doc:`/scripts/base/frameworks/sumstats/__load__.zeek`
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:doc:`/scripts/base/frameworks/sumstats/main.zeek`
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The summary statistics framework provides a way to
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summarize large streams of data into simple reduced
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measurements.
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:doc:`/scripts/base/frameworks/sumstats/plugins/__load__.zeek`
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:doc:`/scripts/base/frameworks/sumstats/plugins/average.zeek`
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Calculate the average.
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:doc:`/scripts/base/frameworks/sumstats/plugins/hll_unique.zeek`
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Calculate the number of unique values (using the HyperLogLog algorithm).
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:doc:`/scripts/base/frameworks/sumstats/plugins/last.zeek`
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Keep the last X observations.
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:doc:`/scripts/base/frameworks/sumstats/plugins/max.zeek`
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Find the maximum value.
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:doc:`/scripts/base/frameworks/sumstats/plugins/min.zeek`
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Find the minimum value.
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:doc:`/scripts/base/frameworks/sumstats/plugins/sample.zeek`
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Keep a random sample of values.
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:doc:`/scripts/base/frameworks/sumstats/plugins/std-dev.zeek`
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Calculate the standard deviation.
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:doc:`/scripts/base/frameworks/sumstats/plugins/variance.zeek`
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Calculate the variance.
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:doc:`/scripts/base/frameworks/sumstats/plugins/sum.zeek`
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Calculate the sum.
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:doc:`/scripts/base/frameworks/sumstats/plugins/topk.zeek`
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Keep the top-k (i.e., most frequently occurring) observations.
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This plugin uses a probabilistic algorithm to count the top-k elements.
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The algorithm (called Space-Saving) is described in the paper Efficient
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Computation of Frequent and Top-k Elements in Data Streams", by
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Metwally et al. (2005).
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:doc:`/scripts/base/frameworks/sumstats/plugins/unique.zeek`
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Calculate the number of unique values.
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:doc:`/scripts/base/frameworks/sumstats/non-cluster.zeek`
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