What are three reasons for which you might use calculated tables?

Using calculated tables is a powerful feature in Power BI that allows users to generate new tables within the data model based on the results of DAX formulas.

One primary reason for creating a calculated table is to derive a table from existing data through specific calculations or transformations. This can include aggregating data, filtering rows, or reshaping existing tables to fit a particular analytical need. For example, you might use a calculated table to create a summarized version of sales data that condenses multiple transactions into total sales per month. This flexibility to create tables that reflect the specific analytical requirements makes calculated tables essential for custom reporting and deeper insights.

Additionally, calculated tables can be beneficial when you need to establish relationships between different datasets that might not naturally fit together or to prepare data for certain visualizations that require a specific structure. This ability to generate data dynamically based on the current model is one of the key strengths of using calculated tables.

In contrast, options related to improving performance of existing tables, union operations, or different types of joins pertain more to data modeling techniques or other Power BI functionalities rather than the specific purpose of calculated tables. Calculated tables serve a distinct role in creating new datasets derived from transformations defined by DAX rather than directly altering performance or merging