Box plots with log-scaled whiskers

The standard formula we use for the length of box plot whiskers is 1.5 * IQR (interquartile range, ie the third quartile minus the first quartile). This is based on comparing your distribution to a normal distribution, where any data beyond those whiskers is considered an outlier. However, if you're displaying your data on a log scale (and sometimes even if you're not) a log-normal distribution is likely more appropriate, in which case the whisker locations should be calculated based on the IQR in log units. This brings both fences up, in particular preventing the lower fence from ever going negative ie an infinitely long whisker on a log scale.

I'd propose a new attribute for box traces, something like distribution: 'normal' | 'log-normal' | 'auto' where 'auto' uses 'log-normal' when displayed on a log axis, otherwise 'normal'. I'll be happy to submit a PR to add this functionality.

Commencez par localiser le calcul des moustaches de box-trace et la gestion des axes à échelle logarithmique dans ce dépôt JavaScript. Clarifiez avec les mainteneurs l'API de distribution proposée et le comportement attendu pour normal, log-normal et auto. Le travail est terminé lorsque les diagrammes en boîte utilisent des limites de moustaches appropriées sur les axes logarithmiques, sans limites inférieures négatives, et que des tests couvrent ce comportement.