Description: The term ‘geometric’ refers to everything related to the shape, size, and relative position of figures and spaces. In the field of data analysis, this concept is applied to the representation and manipulation of data in forms that can be visualized and understood through geometric figures. Geometric data can include points, lines, polygons, and other shapes that allow analysts to interpret patterns and relationships in complex data sets. Geometry, as a mathematical discipline, provides the necessary tools to model and analyze these relationships, facilitating the understanding of the underlying structure of the data. In this context, geometric analysis becomes an essential technique for data visualization, where graphs and diagrams are used to represent information clearly and effectively. This not only helps identify trends and correlations but also enables researchers to communicate their findings more effectively. Therefore, geometry is not only fundamental in mathematics but also plays a crucial role in data analysis, where the shape and arrangement of data can influence interpretation and decision-making.
