How to create bar graph with portions (multi-dimensional)?

I want to create a bar graph with following qualities:

• Bar itself is split into 3 color categories, indicating portions between variables (individual y-axis from 0 - 100 %)
• Overall bar height indicates another variable height (individual y-axis)

So in total the data has 3 dimensions and it combines pie chart qualities to bar graph. This would be very nice way to visualize the data as I'm conducting near infrared spectroscopy analysis and want to compare thickness values in addition to absorption.

I think I need combine multiple y-axis with stacked groupping style (as in the picture below).

How to create this kind of bar graph?

Answer 1

[the cyclist]

This example from the documentation shows exactly how to do it.

y = [2  2  3;
     2  5  6;
     2  8  9;
     2 11 12];
bar(y,'stacked')

You may need to adjust the code a bit, because it seems like you want to use proportions rather than values.

[Martti Ilvesmäki]

This is good but missing the second y-axis (one for intensity, one for portions). I found now a way to do it by utilizing bar and plot graph and will post it as answer. Based on documentation too: https://www.mathworks.com/help/matlab/creating_plots/overlay-line-plot-on-bar-graph-using-different-y-axes-1.html

Answer 2

[Martti Ilvesmäki]

I found a way to do this by using following example: https://www.mathworks.com/help/matlab/creating_plots/overlay-line-plot-on-bar-graph-using-different-y-axes-1.html

Although the bar height itself doesn't indicate value of 2nd y-axis, the plot serves well at least for my purpose.

x = categorical({'sample 1' 'sample 2' 'sample 3' 'sample 4'});
x = reordercats(x, {'sample 1' 'sample 2' 'sample 3' 'sample 4'});

y = zeros(3,4) + 1/3;
y2 = [100 200 300 250];

yyaxis left
b= bar(x,y, 'stacked');
b(1).FaceColor = [0.9290 0.6940 0.1250]; %Yellow
b(2).FaceColor = [0 0.4470 0.7410]; %Blue
b(3).FaceColor = [0.8500 0.3250 0.0980]; %Orange
yyaxis right
p = plot(x, y2, 'LineWidth', 5, 'Color', 'g');

End result: