Which of the following is a typical use of visuals in Power BI?

Using visuals in Power BI is fundamentally about data representation, where one of the primary functions is to display summary data efficiently. Visuals such as charts, graphs, and tables help users to quickly understand and interpret data trends, patterns, and insights at a glance. This capability to condense complex datasets into visual formats enables users to make informed decisions based on high-level summaries, which enhances the overall data analysis process.

In contrast, storing raw data is the primary function of databases, not visuals. While Power BI can connect to data sources to retrieve data, visuals themselves do not serve as a data storage mechanism. Running complex statistical analyses typically requires a more detailed approach, often leveraging DAX (Data Analysis Expressions) or other analytical tools within Power BI, rather than relying solely on visuals. Although visuals can support analysis by presenting results or insights from those complex analyses, they do not perform the analyses themselves. Similarly, removing duplicate records is a data preparation task usually accomplished during the data transformation phase, rather than being related to the use of visuals in Power BI reports or dashboards. Thus, the role of visuals is primarily to enhance understanding through efficient representation of summary data.