Do you mean like this:
data = randn(100000, 1);
[counts, edges] = histcounts(data)
subplot(3, 1, 1);
bar(edges(1:end-1), counts)
grid on;
xlabel('Value')
ylabel('Counts')
title('Histogram')
% Compute cdf
cdf = rescale(cumsum(counts), 0, 100);
subplot(3, 1, 2);
bar(edges(1:end-1), cdf);
grid on;
xlabel('Value')
ylabel('Percent')
title('CDF')
% where each bin is all values greater than or equal to the bin value.
subplot(3, 1, 3);
bar(edges(1:end-1), 100-cdf); % or fliplr(cdf)
grid on;
xlabel('Value')
ylabel('Percent')
title('CDF')
