Automating and utilising equal-distribution data classification

Data classification, i.e. organising data items in groups (classes), is a general technique widely used visualisation and cartography, particular, for creation of choropleth maps. Conventionally, are classified by dividing the range into intervals assigning same symbol or colour to all falling within an interval. For instance, may be length include number items. We propose method defining so that some quantity represented values another attribute equally distributed among classes. This kind classification supports exploratory analysis relationships between distribution phenomenon whose additional attribute. The approach especially useful when very unequal, with many having zero low quantities quite few larger quantities. With such distribution, standard statistical problematic. demonstrate potential analysing referring set spatially people (patients) relationship characteristics areas which live.