lagrange.spacing([spacing]) Defaults to 0.5.

d3.thresholdFreedmanDiaconis(values, min, max) Returns the number of bins according to the Freedman–Diaconis rule; the input values must be numbers.

rectangularPolyconic.parallel([parallel]) Defaults to 0°.

d3.timeSecond d3.utcSecond Seconds (e.g., 01:23:45.0000 AM); 1,000 milliseconds.

set.empty() Returns true if and only if this set has zero values.

nest.key(key) Registers a new key function. The key function will be invoked for each element in the input array and must return a string identifier to assign the element to its group. Most often, the function is a simple accessor, such as the year and variety accessors above. (Keys functions are not passed the input array index.) Each time a key is registered, it is pushed onto the end of the internal array of keys, and the nest operator applies an additional level of nesting.

quadtree.remove(datum) Removes the specified datum to the quadtree, deriving its coordinates ⟨x,y⟩ using the current x- and y-accessors, and returns the quadtree. If the specified datum does not exist in this quadtree, this method does nothing.

d3.timeSaturday d3.utcSaturday Saturday-based weeks (e.g., February 11, 2012 at 12:00 AM).

selection.enter() Returns the enter selection: placeholder nodes for each datum that had no corresponding DOM element in the selection. The enter selection is determined by selection.data, and is empty on a selection that is not joined to data. The enter selection is typically used to create “missing” elements corresponding to new data. For example, to create DIV elements from an array of numbers: var div = d3.select("body") .selectAll("div") .data([4, 8, 15, 16, 23, 42]) .enter().appe

histogram.thresholds([count]) histogram.thresholds([thresholds]) If thresholds is specified, sets the threshold generator to the specified function or array and returns this histogram generator. If thresholds is not specified, returns the current threshold generator, which by default implements Sturges’ formula. (Thus by default, the histogram values must be numbers!) Thresholds are defined as an array of values [x0, x1, …]. Any value less than x0 will be placed in the first bin; any value