In the section on qualitative variables, we saw how bar charts could be used to illustrate the frequencies of different categories. For example, the bar chart shown in Figure 1 shows how many purchasers of iMac computers were previous Macintosh users, previous Windows users, and new computer purchasers.

In this section we show how bar charts can be used to present other kinds of quantitative information, not just frequency counts. The bar chart in Figure 2 shows the percent increases in the Dow Jones, Standard and Poor 500 (S & P), and Nasdaq stock indexes from May 24th 2000 to May 24th 2001. Notice that both the S & P and the Nasdaq had negative increases which means that they decreased in value. In this bar chart, the Y-axis is not frequency but rather the signed quantity percentage change.

Bar charts are particularly effective for showing change over time. Figure 3, for example, shows the percent increase in the consumer price index (CPI) over four three-month periods. The fluctuation between inflation increases above and below 3% is made apparent in the graph.

Bar charts are often used to compare the means of different experimental conditions. Figure 4 shows the mean time it took one of us (DL) to move the mouse to either a small target or a large target. On the average more time was required for small targets than for large ones.

Although bar charts can display means, we do not recommend them for this purpose. Box plots should be used instead since they provide more information than bar charts without taking up more space. For example, a box plot of the mouse-movement data is shown in Figure 5. You can see that Figure 5 reveals more about the distribution of movement-times than does Figure 4.

The section on qualitative variables earlier in this chapter discussed the use of bar charts for comparing distributions. Some common graphical mistakes were also noted. The earlier discussion applies equally well here, to the use of bar charts to display quantitative variables.