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Sadly, just linking to the Histogram best practice document, as done for `histogram_quantile`, would be confusing here because the best practice document only deals with quantiles in the context of Histograms and Summaries, which is very different from the context of the `quantile` aggregator and `quantile_over_time` function, which is already a source of a lot of confusion. Thus, I think the least bad solution is to add a short explanation in this section directly. There isn't even a good resource on the internet we can link to. A lot of statisticians use φ-quantiles, but they don't have a generally accepted name for it. I have added the explanation after the other detailed explanations of `count_values`, `topk` and `bottomk`. I think that fits quite nicely into the flow. Signed-off-by: beorn7 <beorn@grafana.com> |
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| api.md | ||
| basics.md | ||
| examples.md | ||
| functions.md | ||
| index.md | ||
| operators.md | ||