Analytical Networks. Matching and Regression Graphs

The purpose of this Notebook is to offer a model for representing data structure by integrating existing techniques and developing a series of visual and interactive tools useful for the simultaneous analysis of a wide range of variables, in order to extend its use in the field of social sciences. The coincidence and regression graph analysis, the cornerstone of this work, represents a methodological approach that transcends the traditional limits of statistical analysis and offers a lens through which the complex interactions and relationships inherent in data can be examined and understood. Through this approach, the text addresses how the structure of relationships between entities can be organized and analyzed. This facilitates the representation of complex systems in an intuitive and structured manner, while also achieving a more detailed exploration of the interconnections and patterns that emerge from the data, through modeling and visualizing their structure, in order to give meaning to the reality of the phenomena studied, both in the social sciences and in other fields of knowledge.