Qualitative Data, Quantitative Data, Gradation Scales and Initial Structures of Statistical Data

This article demonstrates how qualitative data, quantitative data, grading scales and initial structures of statistical data can be organised in a relational way in order to understand the data as a whole, which can overcome the duality that has so far existed between the qualitative and quantitative aspects of science, This allows in the first instance the overcoming of the duality in the interpretation of research results, as well as the development of a complex statistical disciplinary model, which goes beyond the ultra-specialised conception of statistics within the disciplines of scientific knowledge