What allows for easy comparison between stacked data series in charts?

Stacking of data series is a fundamental technique used in data visualization that enhances the ability to compare multiple datasets effectively. When data series are stacked in a chart, each series is represented on top of the previous one, allowing viewers to not only see the individual contributions of each series but also how they cumulatively add up to the total value.

This method is particularly useful in scenarios where understanding the relative size and composition of different segments is critical. For example, in a stacked bar chart, each segment of the bar represents a different category of data, making it easy to visually assess how each category contributes to the whole at a glance. The stacked format organizes the data in a way that simplifies comparison and helps identify trends and patterns across the dataset.

In contrast, the other options do not facilitate this type of comparative analysis as effectively. Horizontal alignment pertains more to the positioning of items but does not enhance the comparative aspect when analyzing stacked data. Quadrant segmentation could provide insights into categorical separation but lacks the clarity in visual comparison for stacked data. Using a gauge measurement is more suitable for displaying a single value related to a qualitative scale rather than enabling comparisons across multiple data series.