Which type of analysis would benefit from a scatter plot visualization in ArcGIS?

A scatter plot visualization in ArcGIS is particularly beneficial for analyzing the correlation between two continuous variables. This type of analysis allows for the observation of relationships and patterns between the two variables. By plotting each variable on the X and Y axes, users can easily identify whether an increase in one variable corresponds to an increase or decrease in the other, illustrating potential correlations. The scatter plot also enables the identification of outliers and clusters within the data, which can provide valuable insights into the nature of the relationship.

In contrast, the other options focus on different analytical needs. Comparison of categorical data is often conducted using bar charts or pie charts, which are more suited for displaying frequency counts or proportions among discrete categories. A distribution review of a single data attribute typically employs histograms or density plots to illustrate the range and frequency of values belonging to a single variable. Lastly, a percentage breakdown of several categories is well illustrated through pie charts or stacked bar charts rather than scatter plots, which are ineffective for showing portions of a whole.