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docs/VictoriaLogs/LogsQL.md: remove misleading information that min
and max
stats functions work only for numeric values
These functions work for both numeric and string values after ad505a7a9a
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@ -2761,9 +2761,9 @@ LogsQL supports the following functions for [`stats` pipe](#stats-pipe):
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- [`count`](#count-stats) returns the number of log entries.
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- [`count_empty`](#count_empty-stats) returns the number logs with empty [log fields](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model).
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- [`count_uniq`](#count_uniq-stats) returns the number of unique non-empty values for the given [log fields](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model).
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- [`max`](#max-stats) returns the maximum value over the given numeric [log fields](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model).
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- [`max`](#max-stats) returns the maximum value over the given [log fields](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model).
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- [`median`](#median-stats) returns the [median](https://en.wikipedia.org/wiki/Median) value over the given numeric [log fields](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model).
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- [`min`](#min-stats) returns the minumum value over the given numeric [log fields](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model).
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- [`min`](#min-stats) returns the minumum value over the given [log fields](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model).
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- [`quantile`](#quantile-stats) returns the given quantile for the given numeric [log fields](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model).
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- [`row_any`](#row_any-stats) returns a sample [log entry](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model) per each selected [stats group](#stats-by-fields).
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- [`row_max`](#row_max-stats) returns the [log entry](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model) with the minimum value at the given field.
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