What happens to data if Dynamic Calculations are implemented in both rows and columns?

When Dynamic Calculations are implemented in both rows and columns, the rows will take precedence over the columns. This means that if there are conflicting calculations or data references between the rows and columns, the system will prioritize the calculations defined in the rows.

In practice, this precedence allows for more controlled and consistent data manipulation since rows often represent different data aggregations or time periods, while columns can vary through dimensions like accounts or scenarios. By ensuring that rows take precedence, the integrity and intent of the data model are maintained, allowing for clearer and more predictable outcomes when users interact with the data.

The other options, such as random selection of data, prioritizing columns, or returning an error, do not accurately portray how the precedence of data operations is structured in this scenario.