How should unimportant data be treated when constructing a graph?

When constructing a graph, the treatment of unimportant data is essential for clarity and focus. Cropping out unimportant data effectively removes distractions that could mislead the viewer or obscure the main message of the graph. By eliminating this data, the graph can more clearly convey the significant trends or patterns that are of interest. This approach helps to ensure that the audience focuses on the relevant information and makes it easier to interpret the most critical aspects of the data being presented.

Contextually, while other options suggest varying ways to deal with unimportant data, they do not achieve the same effectiveness in maintaining clarity. Highlighting or minimizing unimportant data might still draw attention to it, which could dilute the impact of the important information. Including it for context may lead to confusion or suggest that the unimportant data holds more weight than it actually does. Therefore, cropping out unimportant data enhances the overall quality and interpretability of the graph.