How to have a numerical legend showing with a categorical histogram?

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Konstantin J
Konstantin J on 10 May 2022
Edited: dpb on 11 May 2022
Hi,
I am trying to do something like in the following example below. I am trying to get a histogram with the distribution of genders. But additionally, I would like to include another array with stroke values (0 - no stroke, 1 - stroke). I want them to be in legend, but also as bars.
When I do this, I get:
Any help is appreciated,
  1 Comment
dpb
dpb on 10 May 2022
You need to use the 'grouped' style with the y data a 3 row by 2 column array to get the grouped plot. Folks could help a lot easier if you would attach your data file instead of having to make up something...

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Answers (1)

dpb
dpb on 10 May 2022
The legend labels are just text; you can make then whatever you want -- try something like:
nStroke=[2000,100;2750,125]; % make up roughly same data
gender=categorical({'Male','Female'},{'Male','Female'},"Ordinal",1);
hB=bar(gender,nStroke,'grouped','BarWidth',1);
ylim([0 2900])
hLg=legend('0','1','location','northwest');
hLg.Title.String='Stroke';
pretty-much reproduces your example figure. "Salt to suit!" for colors, other details...
  4 Comments
dpb
dpb on 11 May 2022
Oh. I see. Looking at one of the models that echo'ed the input I see the "Stroke" column is in the dataset but isn't listed/shown in the preview window.
Attach the .mat file you've loaded here; it takes a registration from that site that I don't have/don't want to create.
But, in general, to get the data to create the plot from the raw data using the observed stroke data,
tStroke=readtable('StrokeFile.csv');
tStroke.gender=categorical(tStroke.gender,{'Male','Female'},"Ordinal",1);
tStroke.stroke=logical(tStroke.stroke);
tG=groupsummary(tStroke,{'gender','stroke'});
will then give you the summary statistics from which the bar graph can be created.
ADDENDUM: The definition of the categorical variable for gender is as it is so the plot will show the x axis order of "Male" first; otherwise MATLAB creates/orders categories alphabetically which would put "Female" first. That's the only reason for making ordinal.

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