Comments (3)
I also suffer from this issue a lot, which makes viewing the long term trends almost impossible. It would be fantastic if there was some easy way to remove the outliers.
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If we could make the chart library aware of this and ignore these outliers when defining the scale, that would be ideal. It would avoid deleting actual data from the data files, which could potentially lead to corrupt data files.
I'll try to look into this in the next few days. If anyone else wants to have a go as well, let me know how I can help.
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@eduardoboucas thanks a lot for taking the time to look into this!
I actually started by deleting the entry in the data files manually, but quickly decided that I would most likely mess up the syntax of the file :)
A statistical solution would be cool. Something like data points that are more than 4 standard deviations from the average should not be shown in the chart. But to avoid false positive - it could be that the site was simply suddenly as lot slower or faster - an outlier should only be deleted, if there is only a single high/low measurement. If there are multiple measurements with the same high numbers, it must means that the measurements are correct and the site is indeed now a lot faster/slower.
As far as I can see, it can be difficult to make a statistical rule, that is always correct. So maybe it would be faster to make a feature that allows manual deletion in the data files?
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