How to plot a swarm chart with no specific x-values?

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Hi everyone,
I have a huge dataset, around 1 million values in a column. The range of these values are limited. They, for example, fluctuate between -100 to +100 (I need to find these two values by min and max). The fluctuation is also very erratic (there might be some patterns though).
So, I was having an idea to use swarm chart and plot the distribution of this dataset on something like a swarm chart. Do you think it would be possible using swarm chart or any other chart type on MATLAB? (I know we can use histogram but something like what I described would be easier to understand for my audience)
I mean something like this:
Wolfgang McCormack
Wolfgang McCormack on 15 Mar 2021
@Russel Burgess Hi Russel, would you please put your comment in the answer so that I can pick it up :D you saved my life dude and it looks super cool. Just a quick question, how do I draw a line on the chart using the widest area of that swarm chart. I mean, how can I find the y value where the swarm chart is the widest.

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Accepted Answer

Russel Burgess
Russel Burgess on 15 Mar 2021
Following on from the comments:
y = randn(1e3,1);
swarmchart(zeros(size(y)), y);
Will produce the desired chart, in R2020b.
For drawing a line on the chart at the widest point - unfortunately (as far as I know) swarmchart doesn't return or expose the plotted coordinates... publicly. That means you'll have to break into the structure and ignore some warnings.
y = randn(1e3,1);
s = swarmchart(zeros(size(y)), y);
raw_s = struct(s);
raw_data = raw_s.XYZJittered;
[xmax,maxidx] = max(abs(raw_data(:,1)));
ymax = raw_data(maxidx,2);
plot([-xmax xmax], [ymax ymax], 'r-', 'LineWidth', 3);
This may not be exactly what you want but it should be enough to get started: those last 5 lines of code expose the private scatter object fields, including the "XYZJittered" field which appears to contain the actual plotted data in 3 columns. I then just find the coordinates of the point with x value farthest from 0, and plot the line there. This yields something like:
This is a little crude - but once you've got the raw plotted data you could process it in other ways. Another option would be to calculate the kernel density directly to find the maximums (if you have the stats toolbox, or here but I haven't tried it).

More Answers (1)

Matt J
Matt J on 12 Mar 2021
Edited: Matt J on 12 Mar 2021
This Github offering has worked pretty well for me:
Wolfgang McCormack
Wolfgang McCormack on 14 Mar 2021
@Matt J to be honest not really. :D I even downloaded newer MATLAB files from file exchange which are apparently way more simpler too (like the one from 2019) but I couldn't get it going. So, I just gave up on it :( but I would really appreciate it if you could teach me.

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