I understand Rich. I tend to think that when outliers are important, boxplots 
are maybe not the best way to represent such a data. For example, they easily 
get difficult to interpret because of the compression imposed by them on the 
boxes, given the axes’ scales. 

--

Prof. Murat Yildizoglu
Advisor to the Minister of Education, Youth and Sports of Cambodia
Expertise France


On leave from:
UNIVERSITE DE BORDEAUX
GREThA (UMR CNRS 5113)

web: www.yildizoglu.fr

> Le 9 déc. 2021 à 23:04, Rich Shepard via lyx-users <lyx-users@lists.lyx.org> 
> a écrit :
> 
> On Thu, 9 Dec 2021, Murat Yildizoglu via lyx-users wrote:
> 
>> In Rich’s specific case, I suspect that the outliers of the boxplots crowd
>> the plot. ggplot has an option for not plotting them, then you have just
>> simple boxes left on the plot, and they do not need much memory, a few Ko
>> only.
> 
> Murat,
> 
> Addressing environmental regulatory issues outliers are very important.
> 
> Rich
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