Plotting data with 5 dimensions
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Hi folks,
I have a dataset that has data points each with a name and 4 elements. However, of these elements are percentages that add up to a hundred, so a stacked graph will do the trick. The problem is that I need to include the 4th element, which is a number, as well as the names of the points.
For example, I could have:
A B C D
point1 = 64% 26% 10% 23
point2 = 83% 10% 7% 18
Is there a way to adequately display all this information in a single plot without clutter? I was thinking of representing each data point as a mini pie chart, with the diameter of the circle highlighting column D, and columns A, B and C in the graph as normal, but I'm unsure how to go about this!
6 个评论
Teshan Rezel
2021-7-8
Rik
2021-7-8
You suggested something similar yourself: use differently sized circles as markers to show the D value.
Alternatively, you can set the Z-value of each marker to the value of D. I don't know how readable the plot will be.
Teshan Rezel
2021-7-8
Steven Lord
2021-7-8
Since these seem to have different units (one percentages, one a number of items?) does it make sense to have them on the same plot? Or would a pair of plots, one a stacked plot and one a line plot, with the plots themselves on axes stacked vertically make more sense?
Teshan Rezel
2021-7-9
采纳的回答
How about you use the stacked chart as you intended and then just change the x axis to display the value of column D.
data = [64 26 10 23; 83 10 7 18];
datasub = data(:,1:3);
cats = categorical(compose('D = %i',data(:,4)));
b = bar(cats,datasub,'stacked');
set(b,{'DisplayName'},{'A';'B';'C'});
legend
7 个评论
Teshan Rezel
2021-7-8
Ok not sure how many samples are you plotting in one graph. You can simply alter the line creating the labels using the compose function to include the sample names in addition to the value. Example Name, D = 18.
d = [23; 18];
n = ["Sample1"; "Sample2"];
cats = categorical(compose('%s , D = %i',n,d))
Another way is to scale the data to the value of D and then plot the bar chart. Then we add in the percentage in each bar.
data = [64 26 10 23; 83 10 7 18];
datasub = data(:,1:3);
scaled_data = datasub .* data(:,4) / 100;
label = categorical(["Sample1"; "Sample2"]);
b = bar(label,scaled_data,'stacked');
y = movmean(horzcat([0;0],cumsum(scaled_data,2)),2,2,'Endpoints','discard');
x = repelem(label,1,size(scaled_data,2));
t = compose('%i%%',datasub);
text(x(:),y(:),t(:));
ylabel('D')
Teshan Rezel
2021-7-9
Mohammad Sami
2021-7-9
Since you have 44 points you need to generate a zero column vector of size 44.
if true
movmean(horzcat(zeros(44,1),cumsum(scaled_data,2)),2,2,'Endpoints','discard');
end
Teshan Rezel
2021-7-9
hi @Mohammad Sami, thanks for this! This gets around the horzcat issue. The problem now is that the labels for the percentages seem to be incorrect. I'm not sure what's causing this so not sure how to correct it!
Mohammad Sami
2021-7-10
The values are incorrect or just you are getting more decimal points then what you need ? If the later you can change the format spec inside the compose function to your desired formatting. Example %f or %0.2f You can see documentation for format spec under sprintf if you need more details. https://www.mathworks.com/help/matlab/ref/sprintf.html
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