The Two Metrics That Reveal True Data Dispersion Beyond Standard Deviation

<p>We&rsquo;ve all heard the saying, &ldquo;Variety is the spice of life,&rdquo; and in data, that variety or diversity often takes the form of dispersion.</p> <p>Data dispersion makes data fascinating by highlighting patterns and insights we wouldn&rsquo;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.</p> <p>This is where the Coefficient of Variation (CV) and Quartile Coefficient of Dispersion (QCD) provide insights when comparing datasets.</p> <p><a href="https://towardsdatascience.com/dispersion-cv-qcd-32849f828434"><strong>Click Here</strong></a></p>