Conditional formatting allows users to:

Conditional formatting is a powerful feature that enhances data visualization by allowing users to change the appearance of visuals based on specific criteria. This capability enables users to quickly identify trends, patterns, or anomalies in their data. For example, if a user is analyzing sales data, they can set conditions that highlight sales figures above a certain threshold in green, while figures below that threshold might be highlighted in red. This visual distinction makes it easier to interpret the data at a glance, facilitating better decision-making.

Using conditional formatting helps in emphasizing critical information, thereby drawing attention to areas that require focus or further analysis. By utilizing this feature, users can effectively communicate the story behind the data and provide clearer insights to stakeholders. This interactive approach to data allows for a more engaging experience, as users can adapt the visualization to their specific analytic needs without altering the underlying data structure.

The other options do not pertain to the specific function of conditional formatting. Separating data into multiple reports is focused on data organization rather than visual enhancement. Exporting reports to various formats pertains to data output rather than visual representation. Creating hyperlinks adds interactivity but does not directly enhance how data is visually interpreted based on conditions.