ABSTRACT
In most measurements or simulations, we obtain large amounts of data. Displaying the data correctly is important, and implies utilizing various graphical packages, or math packages with graphical capabilities. (Different tools have varying capabilities, and produce graphics of different aesthetic value; but the most important is to use a tool that you are familiar with). Tools do not do everything and you need to know what to represent. Here, we discuss important and frequent summarizations that can be employed to display and compare data: the complete distribution; summarized quantities such as means, standard deviations, medians and tail quantiles; as well as fairness indices.
