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@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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