d3.thresholdFreedmanDiaconis(values, min, max) Returns the number of bins according to the

d3.thresholdScott(values, min, max) Returns the number of bins according to

d3.mean(array[, accessor]) Returns the mean of the given array of numbers. If the array is empty, returns undefined

d3.permute(array, indexes) Returns a permutation of the specified array using the specified array of indexes

histogram.thresholds([count]) histogram.thresholds([thresholds]) If thresholds

d3.quantile(array, p[, accessor]) Returns the p-quantile of the given sorted array of numbers

d3.extent(array[, accessor]) Returns the minimum

histogram(data) Computes the histogram for the given array of data samples. Returns an array of bins, where each bin

histogram.domain([domain]) If domain is specified, sets the domain accessor to the specified function or array

d3.shuffle(array[, lo[, hi]]) Randomizes the order of the specified array using the