Computes correlation coefficients and confidence intervals and clusters them hierarchically. Adjustable 2D windowing is used to compute correlations for visible variables only (if clustering is disabled) and to render only those to the DOM (regardless of clustering).
To see the adjustable 2D windowing implementation in action, reduce the Max Visible Elements value until scrollbars appear. In addition, a minimap appears in the top left corner of the screen to show the current position and can be used to navigate. This implementation would obviously be more useful for a much larger dataset than is currently used here.
Because correlation coefficients and their corresponding confidence intervals do not change much with small changes in the data, it may not be immediately apparent that the correlation matrix is updating live, but it is.
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