Which diagram is best for visualizing the composition of a whole?

A pie chart is the most effective option for visualizing the composition of a whole because it provides a clear, intuitive representation of how different parts relate to each other within a single entity. Each slice of the pie corresponds to a specific category, with the size of the slice indicating its proportion relative to the entire dataset. This visual format enables viewers to immediately grasp the relative sizes of the components, making it easier to understand their contributions to the whole.

In contrast, a Pareto chart emphasizes the most significant factors in a dataset by displaying categorical data in descending order alongside a cumulative percentage line. While useful for identifying priorities, it does not represent the proportional composition of parts.

A line graph is primarily used to illustrate trends over time, showing how values change sequentially rather than displaying how different components fill up a whole. This format is effective for demonstrating changes and relationships but does not provide a clear picture of composition.

A box plot summarizes the distribution of a dataset through its quartiles, highlighting median values and potential outliers. This type of diagram is valuable for showing spread and variation within data but lacks the qualitative aspect of visualizing how parts contribute to an entire entity.

Thus, the pie chart stands out as the optimal choice for displaying the composition of a whole