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author | Daniel Baumann <daniel.baumann@progress-linux.org> | 2022-08-12 07:26:17 +0000 |
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committer | Daniel Baumann <daniel.baumann@progress-linux.org> | 2022-08-12 07:26:17 +0000 |
commit | 7877a98bd9c00db5e81dd2f8c734cba2bab20be7 (patch) | |
tree | d18b767250f7c7ced9b8abe2ece784ac1fe24d3e /web/api/queries/median/README.md | |
parent | Releasing debian version 1.35.1-2. (diff) | |
download | netdata-7877a98bd9c00db5e81dd2f8c734cba2bab20be7.tar.xz netdata-7877a98bd9c00db5e81dd2f8c734cba2bab20be7.zip |
Merging upstream version 1.36.0.
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to 'web/api/queries/median/README.md')
-rw-r--r-- | web/api/queries/median/README.md | 17 |
1 files changed, 16 insertions, 1 deletions
diff --git a/web/api/queries/median/README.md b/web/api/queries/median/README.md index bb7d4c66b..5600284c2 100644 --- a/web/api/queries/median/README.md +++ b/web/api/queries/median/README.md @@ -13,6 +13,20 @@ The median is the value separating the higher half from the lower half of a data `median` is not an accurate average. However, it eliminates all spikes, by sorting all the values in a period, and selecting the value in the middle of the sorted array. +Netdata also supports `trimmed-median`, which trims a percentage of the smaller and bigger values prior to finding the +median. The following `trimmed-median` functions are defined: + +- `trimmed-median1` +- `trimmed-median2` +- `trimmed-median3` +- `trimmed-median5` +- `trimmed-median10` +- `trimmed-median15` +- `trimmed-median20` +- `trimmed-median25` + +The function `trimmed-median` is an alias for `trimmed-median5`. + ## how to use Use it in alarms like this: @@ -27,7 +41,8 @@ lookup: median -1m unaligned of my_dimension `median` does not change the units. For example, if the chart units is `requests/sec`, the result will be again expressed in the same units. -It can also be used in APIs and badges as `&group=median` in the URL. +It can also be used in APIs and badges as `&group=median` in the URL. Additionally, a percentage may be given with +`&group_options=` to trim all small and big values before finding the median. ## Examples |