What feature allows users to identify exceptions or trends in their data?

The feature that allows users to identify exceptions or trends in their data is conditional formatting. This functionality highlights cells or ranges within a data set based on specific criteria or rules set by the user. For instance, it can change the color of cells, apply different styles, or use icons to signify whether values are above or below certain thresholds. This visual cue helps users quickly detect patterns, anomalies, or trends in their data, which can be invaluable for decision-making and analysis.

In contrast, data exporting allows users to download data for use in other applications, but it does not provide real-time insight or visualization of trends within the original dataset. Notes addition allows users to annotate their data but does not offer any visual functionality to highlight trends. Header adjustments involve modifying how data categories are displayed but do not contribute to highlighting exceptions or trends in the dataset itself.