- Knowledge of the general principles of analytical design, graphical elements and their visual perception. - Knowledge of data types, their properties, and basic handling. - Ability to select the type of representation and graphic elements most appropriate to the type of data and the result to be communicated. - Ability to read, understand, analyze and elaborate graphic representations with multivariate data.

1. Fundamentals of statistical graphs 1.1. Why graphics 1.2. Graphical integrity 1.3. Graphical perception 1.4. Principles of graphical representation 2. The grammar of statistical graphs 2.1. Building graphs layer by layer 2.2. Guides and scales 2.3. Coordinate systems 2.4. Facets 2.5. Themes 3. Exploratory data analysis 3.1. Types of variables 3.2. Univariate analysis 3.3. Bivariate analysis 3.4. Multivariate analysis 3.5. Catalog of graphs and applications 4. Advanced data exploration 4.1. Geospatial analysis and maps 4.2. Network analysis and flow charts 4.3. Animation, interactivity, and other resources 5. Use cases in Statistics

- Theoretical-practical classes: Presentation of concepts, development of the theory, examples, and synchronous work with students. - Group work: Resolution of practical cases proposed by the professor in group activities. - Evaluation sessions: Presentation and discussion in class, moderated by the professor, of the proposed practical cases.