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README.md
<!-- title: "Median" sidebar_label: "Median" description: "Use median in API queries and health entities to find the 'middle' value from a sample, eliminating any unwanted spikes in the returned metrics." custom_edit_url: https://github.com/netdata/netdata/edit/master/web/api/queries/median/README.md learn_status: "Published" learn_topic_type: "References" learn_rel_path: "Developers/Web/Api/Queries" --> # Median The median is the value separating the higher half from the lower half of a data sample (a population or a probability distribution). For a data set, it may be thought of as the "middle" value. `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 alerts like this: ``` alarm: my_alert on: my_chart lookup: median -1m unaligned of my_dimension warn: $this > 1000 ``` `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. Additionally, a percentage may be given with `&group_options=` to trim all small and big values before finding the median. ## Examples Examining last 1 minute `successful` web server responses: -  -  -  -  ## References - <https://en.wikipedia.org/wiki/Median>.