Description: The concept of ‘multilevel’ in data visualization refers to the organization of data into multiple hierarchical levels, allowing for a more detailed and structured visualization and analysis of information. This approach is fundamental for creating data models that reflect the complexity of relationships between different categories and subcategories. In a multilevel model, data can be broken down into hierarchies that facilitate the exploration of information from a general level to more specific levels. For example, in a sales analysis, there may be a hierarchy that includes region, country, city, and store, allowing users to drill down into the data according to their needs. This structure not only enhances clarity in data presentation but also optimizes users’ ability to perform comparative analyses and trends across different levels of detail. Additionally, various tools provide features to create interactive visualizations that allow users to navigate through these hierarchies intuitively, enriching the analysis experience and facilitating informed decision-making.
