What type of data visualization is favored for showing distributions in qualitative data?

Bar charts are favored for showing distributions in qualitative data because they effectively represent categorical data, allowing for easy comparison between different groups. Each bar represents a category, and its height or length corresponds to the frequency or proportion of that category within the dataset. This visual representation makes it straightforward to see how various qualitative categories compare with each other in terms of their occurrence or significance.

In contrast, line graphs are best suited for showing trends over time, making them less effective for qualitative data. Pie charts can illustrate the parts of a whole for categorical data but are less effective when comparing multiple categories, especially if they are similar in size. Scatter plots are primarily used for examining relationships between two quantitative variables, making them unsuitable for qualitative data distribution.