Advantages. Using the quantile classification method gives data classes at the extremes and middle the same number of values. Each class is equally represented on the map and the classes are easy to compute. Quantile classification is also very useful when it comes to ordinal data.

What is the importance of quantiles?

Quantiles give some information about the shape of a distribution - in particular whether a distribution is skewed or not. For example if the upper quartile is further from the median than the lower quartile, we can conclude that the distribution is skewed to the right, and vice versa.

What is the use of quantiles in statistics?

In statistics and probability, quantiles are cut points dividing the range of a probability distribution into continuous intervals with equal probabilities, or dividing the observations in a sample in the same way.