What type of charts help visualize the distribution of categorical data?

Bar charts are particularly effective in visualizing the distribution of categorical data because they display individual categories as distinct bars. Each bar's height (or length, in the case of horizontal bar charts) represents the frequency or count of observations within that category, making it easy to compare the relative sizes of different groups at a glance. This visual representation lends itself well to categorical data since it allows for clear differentiation between categories, helping to identify trends, gaps, or patterns that may exist in the data.

In contrast, line charts are more suited for continuous data and trends over time, as they connect individual data points with lines and do not effectively represent distinct categories. Histograms, while excellent for showing the distribution of continuous numerical data by grouping values into bins, are not applicable for categorical data. Scatter plots are used to show the relationship between two continuous variables, making them unsuitable for representing categorical data distributions as well.