> ---------- Forwarded message ---------- > From: Willem Ferguson <[email protected]> > To: Subsurface Mailing List <[email protected]> > Cc: > Bcc: > Date: Thu, 14 May 2020 21:04:14 +0200 > Subject: Fwd: Re: RFC: Statistics in Subsurface > > ….snip.... > 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? >
I know this plot as a 'beeswarm'. I'm not sure if that's a universally used term, but I use those in Spotfire (a large statistics tool). I thought I should show the same type of plot that contains a bit more data, because it changes the view somewhat. So here's a collection of data with more than 100 data points, categorized 7 different ways. I've cut out the labels because this isn't data extracted from anything remotely associated with diving. [image: image.png] Is this clear to people? I love beeswarm for my job. I do find these tend to balloon outwards (in width) as the data population increases. I'm not sure beeswarm is so clear to the average diver, but maybe I underestimate the userbase. ...Hartley >
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