problem with plotting histogram in matlab

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Zahra  S. Abd Al-Hassan
Zahra S. Abd Al-Hassan am 18 Nov. 2016
Hey
I want to have some strings ind the x-axis and procent % in the y-axis. How can I make a histogram in matlab with af string i x-axis and procent in y-axis?
thank you :)

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Zahra  S. Abd Al-Hassan
Zahra S. Abd Al-Hassan am 19 Nov. 2016
Bearbeitet: Zahra S. Abd Al-Hassan am 19 Nov. 2016
I dont think you really understand what I want :(
I want a graph and the x-axis should be named:
'A' 'B' 'C' 'D' 'E'
The y-axis should go from 0-100 %.
A will show 13.5%
B will show 21.4%
C will show 8.5 %
D will show 10.8 %
E will show 30.9 %

Weitere Antworten (2)

Image Analyst
Image Analyst am 18 Nov. 2016
Try this:
data = randn(1,1000000);
histogram(data, 'normalization', 'probability', 'edgecolor', 'none'); % or might want 'normalization', 'probability'
grid on;
ax = gca
ax.XTickLabels = {'image', 'analyst', 'rocks', 'whatever', 'fubar', 'snafu', 'blah blah', };
fontSize = 20;
title('Never say "blah blah blah" when "blah" will do', 'fontSize', fontSize);
xlabel('My Categories', 'fontSize', fontSize);
ylabel('Percent', 'fontSize', fontSize);
  1 Kommentar
Zahra  S. Abd Al-Hassan
Zahra S. Abd Al-Hassan am 18 Nov. 2016
What should I enter if I want to have 0-100% on the y axis? And how can I for each string on the x axis even go in and enter the relevant value.
For example, if I want to enter 50% for 'analyst' 20% for 'rock' etc.

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Steven Lord
Steven Lord am 18 Nov. 2016
If you have categorical data, for instance a list of weather reports:
weatherValues = {'sunny', 'cloudy', 'rain', 'thunderstorm'};
indices = randi(length(weatherValues), 1, 100);
weatherPerDay = weatherValues(indices);
weatherCategories = categorical(weatherPerDay); % or
weatherCategories = categorical(indices, 1:length(weatherValues), weatherValues);
and you're using release R2015b or later you can create a categorical histogram.
histogram(weatherCategories, 'Normalization', 'probability')
To check, how many elements in weatherCategories were 'rain'? Since we had 100 samples, this should be 100 times the percentage given in the histogram for the 'rain' bar.
sum(weatherCategories == 'rain')

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