Which of the following is NOT considered a poor graphing technique?

Labeled axis scales are an essential part of effective graphing techniques. When axes are clearly labeled, it provides context for the data being presented, allowing the viewer to understand what the measurements are and how to interpret the information. Proper labeling helps to convey the story behind the data accurately, ensuring that viewers can quickly grasp the significance of the trends and differences illustrated in the graph.

In contrast, the other poor graphing techniques listed contribute to miscommunication or confusion. Omitting labels can lead to ambiguity, as viewers might not know what data is being represented. Using misleading scales can distort the perception of the data; for example, expanding a scale may exaggerate differences between data points. Overly complicated designs can overwhelm viewers and obscure the message of the graph, losing the attention of the audience and making it difficult to draw meaningful conclusions from the data. Therefore, having labeled axis scales stands out as a best practice in graphing.