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docs/MetricsQL.md: typo fix: outlier_iqr_over_time(memory_usage_bytes[1h]) triggers when memory_usage_bytes goes outside the usual value range for the last hour, not the last 24 hours
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@ -623,7 +623,7 @@ if its value is either smaller than the `q25-1.5*iqr` or bigger than `q75+1.5*iq
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- `q25` and `q75` are 25th and 75th [percentiles](https://en.wikipedia.org/wiki/Percentile) over raw samples on the lookbehind window `d`.
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The `outlier_iqr_over_time()` is useful for detecting anomalies in gauge values based on the previous history of values.
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For example, `outlier_iqr_over_time(memory_usage_bytes[1h])` triggers when `memory_usage_bytes` suddenly goes outside the usual value range for the last 24 hours.
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For example, `outlier_iqr_over_time(memory_usage_bytes[1h])` triggers when `memory_usage_bytes` suddenly goes outside the usual value range for the last hour.
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See also [outliers_iqr](#outliers_iqr).
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