These display data as a circle divided into sections, where each section represents a category's proportion of the whole. Pie charts are effective when there are a limited number of categories, typically fewer than six, to prevent the visualization from becoming cluttered.
Bar charts (either horizontal or vertical) represent categorical data with bars whose lengths correspond to the total number of observations within each category. They are considered more interpretable than pie charts, especially when comparing the size of categories, as it is easier for people to compare the lengths of bars than the angles of pie slices.
This type of chart shows the proportional contribution of individual data points within each category, offering insights into how each subcategory contributes to the whole.
The primary recommendation is to use bar charts over pie charts when there are more than six categories or when a more precise comparison between categories is necessary. Pie charts can be used for simpler datasets, but as the complexity increases, bar charts provide clearer and more easily interpreted data representation.