Description: The term ‘dynamic’ in the context of data analysis refers to values that can change based on the filters or slicers applied in a data model. This feature allows reports and visualizations to be interactive and adaptive, providing users with the ability to explore different perspectives of the data. Dynamic values are fundamental for data analysis, as they enable analysts and decision-makers to obtain relevant and specific insights according to the needs of the moment. In data analysis languages like DAX (Data Analysis Expressions), functions are used to calculate and display results that automatically adjust to the selections made by the user, enhancing the analysis experience and facilitating the identification of trends and patterns in the data. The dynamic nature of these values is essential for creating dashboards and reports that are not only informative but also intuitive and easy to use, allowing users to delve into the data without requiring advanced technical knowledge.
