Box plots are drawn in two ways, i.e., we can choose to draw it either horizontally or vertically. The gaps between the different parts of the box indicate the degree of dispersion (spread) and the skewness present in the data, along with the show outliers. And this feature of the Box plot actually helps to display a variation of a statistical population in the samples where it does not make any assumptions about the underlying statistical distribution. Being non-parametric is one of the features of the Box plot. Whiskers are used to indicate variability outside the upper and the lower quartiles. Box plots extend its lines from the boxes which are normally called whiskers. A box plot is a graph that offers us a much firm indication or idea about how the values in the data should be spread. This may arise a predictable question that is “what is a box and a whiskers plot?” the question can be answered satisfactorily.

This demand can be fulfilled by a box and whiskers plot. Information on the variability or the dispersion of the data demands a much more concrete foundation.

Sometimes we need more elaborated details in various distributions or datasets that may not be fulfilled by the measures of any central tendency like mean, median, and mode.

Making a box and whisker plot