On uses of dot chart

الملخص EN

A simple and informative dot-chart is presented that gives clear picture and insight into the nature of the data by partitions the unity using cumulative distribution function into two parts below and above the mean to obtain measure of skweness that is zero for any symmetric distribution and to three parts based on 50% confidence interval for normal random variable to obtain a measure of data-density or data-concentration that is zero for normal distribution.

This type of dot-chart has advantages over histogram and quantile-quantile plot where it does not required bin as histogram or plotting position as QQ-plot