As a data scientist, I value the power of insightful visualizations to unlock unique interpretations of complex data. In my talk, I will introduce an elegant mathematical framework called Formal Concept Analysis (FCA), developed in the 1980s in Darmstadt.

FCA transforms binary data into concepts that can be visualized as a hierarchical graph, offering a fresh perspective on multidimensional data analysis. Leveraging this theory and its open-source Python libraries, I am developing an interactive Dash-based tool featuring interactive tables and graphs to explore data insights.

To illustrate its potential, I will showcase an optimization of the entire tariffing system of an energy provider company, highlighting how FCA can bring structure and clarity to even such tangled datasets.