Which chart would be suitable for gaining insight into the months and years that had the highest average traveled?

A heat map is particularly effective for visualizing data trends over time, especially when analyzing average values across categorical variables such as months and years. In this case, a heat map can display a matrix where one axis represents time (months and years) and the other axis might represent the average traveled amounts. The intensity of the color in each cell of the heat map correlates with the magnitude of the average traveled, allowing users to quickly discern which months and years had higher averages based on color gradients. This visual representation makes it easy to identify trends and patterns over the selected time periods at a glance.

Other chart types do not provide the same level of insight for this specific need. For example, while a column chart can represent average values over time, it does not convey variations in data as smoothly as a heat map does when considering multiple time periods at once. A scatter plot is more suited for showing relationships between two continuous variables rather than tracking averages over time. Conversely, a pyramid chart is primarily used for hierarchical data or to depict relative proportions, which doesn't align with the requirement of analyzing average traveled by month and year.