Presentation and display of data resulting from measuring and monitoring a process or product involves more than just drawing graphs. Effective data presentation includes understanding the type of data to be utilized, who the intended audience is, and how the information will be used. This section provides ideas to consider using when determining the most effective method to present your information.
Effective Data Presentation
Before actually presenting any information, it is beneficial to evaluate and understand a few key areas:
A key point to keep in mind is that decisions should not be made based on graphs alone. No graph can tell you everything you need to know. The purpose of presenting the data graphically is to provide information to assist in decision making and to monitor activities or progress. Combine graphs with narrative discussions to help the reader understand the data in the proper perspective related to operations. Consider including the following:
Use the data to try to answer the following questions for the reader:
Figures 2.5 through 2.10 demonstrate how the chart type you choose can influence the message you are trying to convey.

Figure 2.5
Is there a trend over time?
A commonly used approach
We often look at information to determine if there is a trend over time. Figure 2.5 shows an example of a graph commonly used to present data over a period of time. However, looking only at the total late items over time provides limited information. A more meaningful approach might be to look at the overdue rate, which allows you to factor in changes in both the number of open actions and the number that are late. This could be represented by the number of late corrective actions divided by the total number of open corrective actions, such as in Figure 2.6.

Figure 2.6
Is there a trend over time?
Same data, more information
Figure 2.6 uses the same data as Fig. 2.5, but provides more information by presenting the data differently. The combination graph shows both trends in the overall rate and the individual organizations' rates over time. Apply statistical analysis techniques to determine the presence and significance of any trends. Evaluate individual components of the rate (numerator and denominator) to determine which organization is influencing the overall rate the most.