Which of the following is a primary advantage of using the visual builder in Analytics?

The primary advantage of using the visual builder in Analytics is its user-friendly interface for customizing visuals. This feature allows users to create attractive and informative visual representations of data without needing extensive technical knowledge or programming skills.

The visual builder typically offers drag-and-drop functionality, making it easier for users to select the data they want to visualize and choose how they want to present it, such as through charts, graphs, or other visual formats. This accessibility empowers users from various fields to analyze trends and insights quickly, enabling more effective communication of information.

The other options, while valuable in different contexts, do not capture the primary benefit of the visual builder. Quick access to raw data may be more relevant for data analysts who need to perform deep dives into datasets, but it doesn't emphasize the customization aspect. The ability to run complex SAQL queries pertains more to advanced data querying capabilities, which goes beyond the primary functions of the visual builder. Built-in data cleaning functions are crucial for preparing data for analysis, but they are more focused on data quality rather than visual representation, making them secondary to the customization strengths of the visual builder.