Which visualization is typically not used for continuous data?

The pie chart is typically not used for continuous data because it is primarily designed to display categorical data and illustrate the proportion of parts to a whole. Each segment of a pie chart represents a category, and the size of the segment corresponds to the relative size of that category within the total. This makes pie charts highly effective for visualizing discrete categories but not suitable for representing trends, variations, or distributions that are characteristic of continuous data.

In contrast, visualizations like line charts, bar charts, and scatter plots are better suited for continuous data. Line charts are excellent for showing changes over time or trends in continuous data. Bar charts can display continuous variables when analyzed in categories or intervals, and scatter plots are specifically designed to examine relationships between two continuous variables by plotting them on an X and Y axis. Thus, the nature of pie charts limits their effectiveness in contexts that require analysis of continuous data.