What is a primary function of Substitution Variables in data analysis?

Substitution variables play a significant role in customizing view outputs during data analysis. These variables allow users to define dynamic elements in reports or dashboards that can be modified according to specific parameters or user inputs without altering the underlying data. By using substitution variables, analysts can tailor the information displayed based on user-selected criteria, such as filtering or adjusting the time frame of the data presented. This enhances the flexibility and interactivity of reporting tools, enabling more personalized and relevant analysis for different stakeholders.

In contrast, the other options do not accurately capture the primary function of substitution variables. While changing data values is essential in analysis, substitution variables do not permanently alter the data itself; instead, they provide a means to manipulate how data is presented. Storing interim calculations is more aligned with other data management functions and not the purpose of substitution variables. Enhancing data security is typically achieved through access controls and data governance measures rather than through the functionality provided by substitution variables.