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¶ … Graphics to Report Evaluation Data") purposefully explain that data derived from various graphic styles can and should "tell a story" and provide a great deal more, including putting "a human fact on a project" (Minter, et al.).
The graphics that the authors present include: bar chart, line graph, pie chart, illustrations including diagrams, maps and drawings, and photographs. The main ideas that are to be taken into consideration when presenting data through graphics: a) keep it "simple"; b) you want to pick a graphic that "communicates the most important message"; and c) never presume that others will read the text that you prepare as an accompaniment to a graphic (Minter).
Before preparing bar charts, the authors suggest taking a very close look at an existing chart to determine what it shows, what conclusions can be drawn from it, and does it contain enough information? The title used above bar charts should use "precise language" so when readers go into the specifics of...
For example on page 335 the pie chart breaks down restaurants in Ozaukee County, explaining the percentages of venues that have smoking permitted in designated areas (39%); smoking not allowed at all (44%); smoking in any location in the restaurant (11%); and smoking allowed only at certain times of the day and only in certain areas (6%).
The problem though, as the authors point out, is that in this pie chart, the reader doesn't know whether all the restaurants in Ozaukee County were surveyed, or whether all were sent survey questionnaires and only some responded. And while the authors warned earlier in this article to avoid a lot of extraneous information below the chart, in this case they suggest including "sampling methods, response rates, and limitations…
Works Cited
Minter, Ed, and Michaud Mary. (2003). Using Graphics to Report Evaluation Data. Retrieved November 21, 2011, from http://learningstore.uwex.edu/assets/pdfs/G3658-13.PDF.
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