Which visualization is most suitable for displaying the distribution of a dataset?

The most suitable visualization for displaying the distribution of a dataset is a histogram. A histogram is specifically designed to show the frequency distribution of numerical data. It accomplishes this by dividing the data into bins or intervals and plotting the number of data points (or frequency) that fall within each interval. This enables one to easily see the shape, central tendency, and spread of the dataset, as well as any potential outliers.

In contrast, a pie chart is better suited for representing proportions of a whole rather than the distribution of continuous data. A line chart displays trends over time or sequential categories, which does not effectively convey distribution. A scatter plot is useful for showing the relationship between two continuous variables but does not inherently display the distribution of a single dataset's values. Each type of chart serves its specific purpose, but for understanding how data is distributed across a range, the histogram is the preferred choice.