how to construct histogram with certain bin size?
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Hello,
I am constructing histogram with certain bin size. I have around 200000 packages that range in price from 0 - 3824400. I want to place packages that cost 0-20000 in twenty bins with step 1000. Packages that cost more than 20000 should be placed into the last bin# 21 altogether. below is my code so far, how the histogram is pretty weird. I want to see a histogram something like attached. I appreciate any insight
Packages=randi([0 3824400],200000,1);
edges=[0:1000:20000 3824400];
h = histogram(Packages,edges);
2 Comments
Geoff Hayes
on 23 Aug 2018
Hydro - please clarify what you mean by the histogram is pretty weird. Can you show us what it looks like? Is the data not being distributed across the 21 bins as expected? Presumably you have actual package data and are not relying on randi to generate your data for you..
Accepted Answer
Rik
on 23 Aug 2018
Edited: Rik
on 23 Aug 2018
If you want strange bins, you'll have to do some work yourself (I changed the number generation btw). The labels are also not too difficult to generate.
Packages=randi([0 44000],200000,1);
edges=[0:1000:20000 inf];
labels=cell(numel(edges)-1,1);
labels{1}=sprintf('<%d',edges(2));
for n=2:(numel(labels)-1)
labels{n}=sprintf('%d-%d',edges(n)+1,edges(n+1));
end
labels{end}=sprintf('>%d',edges(end-1));
[N,edges] = histcounts(Packages,edges);
centers=edges(1:(end-1))+diff(edges(1:2));
bar(centers,N)
xticks(centers)
set(gca,'XTickLabels',labels)
set(gca,'XTickLabelRotation',60)
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