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@@ -18,9 +18,9 @@ Metrics solutions collect large amounts of time series data that grow over time.
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As that data ages, it becomes less relevant to the current state of the system.
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The downsampling process rolls up documents within a fixed time interval into a
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single summary document. Each summary document includes statistical
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-representations of the original data: the `min`, `max`, `sum`, `value_count`,
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-and `average` for each metric. Data stream <<time-series-dimension,time series
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-dimensions>> are stored unchanged.
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+representations of the original data: the `min`, `max`, `sum` and `value_count`
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+for each metric. Data stream <<time-series-dimension,time series dimensions>>
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+are stored unchanged.
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Downsampling, in effect, lets you to trade data resolution and precision for
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storage size. You can include it in an <<index-lifecycle-management,{ilm}
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