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

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

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

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

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

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

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

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

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

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