12.7 Comparing 2-D and 3-D graphs

Always remember the purpose of a graph: to display the information in the simplest and clearest possible way, to help the reader understand the message(s) in the data.

Instead of aiming to communicate information, sometimes graphs are prepared to look fancy or clever, or to show off the researchers computing skills.

One way that people try to be fancy is to use a third dimension when it is not needed. This is a bad idea: the resulting graphs can be misleading and hard to read (Siegrist 1996).

Think 12.4 (Graphs and tables) In the NHANES study (Center for Disease Control and Prevention (CDC) 1988--1994), the age and sex of each participant were recorded.

Using Fig. 12.26, can you easily determine if more females or more males are in each age group?
A three-dimensional bar chart of the NHANES data

FIGURE 12.26: A three-dimensional bar chart of the NHANES data

The artificial third dimension makes quickly determining the heights of the bars hard. In contrast, a 2-D graph (a side-by-side bar graph; Fig. 12.26) makes it clear whether each age group has more females or more males.

A side-by-side bar chart of treatment data

FIGURE 12.27: A side-by-side bar chart of treatment data

References

Center for Disease Control and Prevention (CDC). National Center for Health Statistics. National Health and Nutrition Examination Survey Data. Hyattsville, MD: U.S. Department of Health; Human Services, Centers for Disease Control; Prevention; 1988--1994.
Siegrist M. The use or misuse of three-dimensional graphs to represent lower-dimensional data. Behaviour & Information Technology. Taylor & Francis; 1996;15(2):96–100.