d3.range([start, ]stop[, step]) Returns an array containing an arithmetic progression, similar to the Python built-in range. This method is often used to iterate over a sequence of uniformly-spaced numeric values, such as the indexes of an array or the ticks of a linear scale. (See also ticks for nicely-rounded values.) If step is omitted, it defaults to 1. If start is omitted, it defaults to 0. The stop value is exclusive; it is not included in the result. If step is positive, the last eleme

d3.request(url[, callback]) Returns a new asynchronous request for specified url. If no callback is specified, the request is not yet sent and can be further configured. If a callback is specified, it is equivalent to calling request.get immediately after construction: d3.request(url) .get(callback); Note: if you wish to specify a request header or a mime type, you must not specify a callback to the constructor. Use request.header or request.mimeType followed by request.get instead.

d3.randomUniform([min, ][max]) Returns a function for generating random numbers with a uniform distribution. The minimum allowed value of a returned number is min, and the maximum is max. If min is not specified, it defaults to 0; if max is not specified, it defaults to 1. For example: d3.randomUniform(6)(); // Returns a number greater than or equal to 0 and less than 6. d3.randomUniform(1, 5)(); // Returns a number greater than or equal to 1 and less than 5. Note that you can also use the bu

d3.radialLine() Constructs a new radial line generator with the default settings. A radial line generator is equivalent to the standard Cartesian line generator, except the x and y accessors are replaced with angle and radius accessors. Radial lines are always positioned relative to ⟨0,0⟩; use a transform (see: SVG, Canvas) to change the origin.

d3.randomBates(n) Returns a function for generating random numbers with a Bates distribution with n independent variables.

d3.randomLogNormal([mu][, sigma]) Returns a function for generating random numbers with a log-normal distribution. The expected value of the random variable’s natural logrithm is mu, with the given standard deviation sigma. If mu is not specified, it defaults to 0; if sigma is not specified, it defaults to 1.

d3.randomIrwinHall(n) Returns a function for generating random numbers with an Irwin–Hall distribution with n independent variables.

d3.randomExponential(lambda) Returns a function for generating random numbers with an exponential distribution with the rate lambda; equivalent to time between events in a Poisson process with a mean of 1 / lambda. For example, exponential(1/40) generates random times between events where, on average, one event occurs every 40 units of time.

d3.randomNormal([mu][, sigma]) Returns a function for generating random numbers with a normal (Gaussian) distribution. The expected value of the generated numbers is mu, with the given standard deviation sigma. If mu is not specified, it defaults to 0; if sigma is not specified, it defaults to 1.

d3.radialArea() Constructs a new radial area generator with the default settings. A radial area generator is equivalent to the standard Cartesian area generator, except the x and y accessors are replaced with angle and radius accessors. Radial areas are always positioned relative to ⟨0,0⟩; use a transform (see: SVG, Canvas) to change the origin.