Which statement is true about datasets in Power BI?

Datasets in Power BI serve as transformed versions of raw data, which allows users to effectively analyze and visualize information. When raw data is ingested into Power BI, it often requires processing to convert it into a structured format that is more usable and meaningful for reporting purposes. This transformation process can involve cleaning the data, formatting, implementing calculations, and establishing relationships between different data elements.

This ability to transform data is crucial because raw data often comes in various formats and may include inconsistencies or irrelevant information. By structuring the data appropriately in a dataset, users can create more insightful visualizations and reports that address specific business questions or analytical needs.

The other statements do not accurately represent the nature of datasets in Power BI. For instance, datasets in Power BI can indeed contain various types of data, both numerical and categorical, making the first choice incorrect. Regarding the third choice, datasets can originate from multiple data sources, allowing for a more comprehensive analysis. Finally, while datasets do enable storage and retrieval, their primary function is to facilitate analysis through transformation and structure, rather than merely serving as storage, making the last option less accurate.