The problem of the relationship qualitative data, quantitative data in general statistics

TL;DR

This paper explores the disjunction between qualitative and quantitative data in general statistics, proposing a unification through relationships and correlations to bridge natural and artificial sciences.

Contribution

It introduces a conceptual framework for integrating qualitative and quantitative data via relationships and correlations, addressing the polarization of methodologies.

Findings

Proposes a unification of data types through correlations

Highlights the polarization between natural and artificial sciences

Suggests a new perspective on objectivity and subjectivity in science

Abstract

The disjunction between nature and science is studied, together with the need to modify the conception of natural science vs artificial science, related to the perspective of objectivity and subjectivity, to end with the explanation of the process of polarization of methodologies and the relationship between mixed data, as a possibility of unification of qualitative and quantitative data, through relationships and correlations.