Description: The context of linkage refers to the specific environment in which data links are applied within a data model. This concept is fundamental in the field of data analysis and business intelligence, as it determines how data is interpreted and used in various scenarios. In data modeling languages and analysis tools, the context of linkage influences how measures are calculated and expressions are evaluated, directly affecting the results obtained. There are two main types of linkage context: row context and filter context. Row context refers to the evaluation of an expression in relation to a specific row of a table, while filter context refers to the conditions that limit the set of data being analyzed. Understanding linkage context is essential for creating accurate reports and dashboards, as it allows analysts to manipulate and present data effectively, ensuring that visualizations reflect the reality of the business. Additionally, linkage context enables users to perform complex calculations and gain valuable insights from large volumes of data, facilitating informed decision-making.
