_hist_bin_scott(x, range)
The binwidth is proportional to the standard deviation of the data and inversely proportional to the cube root of data size (asymptotically optimal).
Input data that is to be histogrammed, trimmed to range. May not be empty.
Scott histogram bin estimator.
Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.
Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)
SVG is more flexible but power hungry; and does not scale well to 50 + nodes.
All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them