RFC: Statistics in Subsurface

[Dirk Hohndel]

I really like this. And it very much matches what was said in the video that Pedro mentioned: "Show all the data when possible". And it does that perfectly. 
So yes, I like that and I think it's a really cool way to visualize SAC rates.
I need to spend time to think through all the 'y-axis' values that we are planning to present there, but at first glance this would work for depths and durations and temperatures as well...

/D

> On May 14, 2020, at 12:04 PM, Willem Ferguson via subsurface <subsurface at subsurface-divelog.org> wrote:
> 
>> 
>> To me in the end this doesn't really matter. I don't think I'd ever use this other than to test that it works. Which is true for two thirds, actually, more likely 80% of the features in Subsurface.
>> What I do care about is that we continue to build something that stays maintainable, stays usable, and serves the need of a broad user base. That's why I refuse the frequent attempts to turn Subsurface into an asset management tool. And that's why I will gently push back to attempts to turn Subsurface into tool for statisticians. There are great tools for those purposes. Use them.
> 
> I attach a suggestion that, to me, what it does is to actually plot the raw data points and show what the mean value for each dataset is (red bar). This is much more usable than a mere report of min, mean, max. For instance, for the wetsuit dataset, the bottom two points are probably outliers (possibly erroneous cylinder pressures or cylinder type entered into the dive log?) and one might consider not using these to interpret the data. For wetsuit, it appears that SAC mostly varies between 13 and 21, and that the min and max values indicated are not necessarily so useful. For the semidry suit data, the data points are much more cohesive and the min and max values plotted are possibly more useful. It depends on the person looking at the graph to use the min and max as plotted, or to use some other way of interpretation. This would provide a good impression of the distribution of the SAC data for each suit type and still provide mean, max and min values. And I think most persons should be able to interpret the diagram easily?
> 
> Kind regards,
> 
> willem
> 
> 

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