We’ve all heard the saying, “Variety is the spice of life,” and in data, that variety or diversity often takes the form of dispersion.
Data dispersion makes data fascinating by highlighting patterns and insights we wouldn’t have found otherwise. Typically, we use the following as measures of dispersion: variance, standard deviation, range, and interquartile range (IQR). However, we may need to examine dataset dispersion beyond these typical measures in some cases.
This is where the Coefficient of Variation (CV) and Quartile Coefficient of Dispersion (QCD) provide insights when comparing datasets.
In this tutorial, we will explore the two concepts of CV and QCD and answer the following questions for each of them: