treemap_demo.m

%% Using Treemap
% Treemaps display data using the relative areas of nested rectangles. See
% http://en.wikipedia.org/wiki/Treemapping for more information.
%
%   Copyright 2007-2009 The MathWorks, Inc.
%

%% By itself
% You can call treemap by itself and it will run with fake data.

cla
treemap;

%% With data
% Here's how you pass in your own data.

cla
data = rand(1,20);
treemap(data);

%% Custom colors and labels
% You can capture the rectangles and use plotRectangles to display them
% with your own colors and labels.

n = 15;
data = rand(1,n);

colors = (jet(n)+1)/2;

% Add labels
labels = {};
for i = 1:n
    labels{i} = sprintf('%2.1f%%',100*data(i)/sum(data));
end

cla
rectangles = treemap(data);
plotRectangles(rectangles,labels,colors)

%% Another example

data = ...
    {'Alaska',571951;
    'Texas'	261797;
    'California',155959;
    'Montana',145552;
    'New Mexico',121356;
    'Arizona',113635;
    'Nevada',109826;
    'Colorado',103718;
    'Oregon',95997};

colors = ones(10,3);
rectangles = treemap([data{:,2}]);
labels = data(:,1);
cla
plotRectangles(rectangles,labels,colors)
outline(rectangles)
axis([-0.01 1.01 -0.01 1.01])
title('The Ten Biggest U.S. States')

%% Nested treemaps
% You can plot treemaps within treemaps

m = 12;
n = 20;
data = rand(m,n);

% Lay out the column totals
level1 = sum(data);

cla reset
r = treemap(level1);

% Lay out each column within that column's rectangle from the overall
% layout
for j = 1:n
    colors = (3*repmat(rand(1,3),m,1) + rand(m,3))/4;
    rNew = treemap(data(:,j),r(3,j),r(4,j));
    rNew(1,:) = rNew(1,:) + r(1,j);
    rNew(2,:) = rNew(2,:) + r(2,j);
    plotRectangles(rNew,[],colors)
end

outline(r)
axis([-0.01 1.01 -0.01 1.01])