Graphics of Large Datasets: Visualizing a Million

. . . any phenomenon (that being an observable fact or event) can only be measured with finite precision so that, if X is a standard uniform random variable, then it can, realistically speaking, take on only a finite number of different values, . . . Thus, ultimately, X is a discrete uniform random variable . . . but, for practical purposes, when the number of values in the genuine support of X is large, we envisage fX to be the idealized, mathematical limited case.