You’ve just completed fielding your latest survey research project, now you need to analyze the data and communicate the results. As a complement to cross tabulation and statistical analysis of the survey data, you’ll likely incorporate graphics within your analysis and reporting process.
In fact, you should consider incorporating graphics in two different ways; using graphics as a visualization tool to assist with your analysis, and graphics as a presentation tool to clearly communicate the results of your analysis.
These two separate functions or “graphical roles” require different types of graphics as well as different methods of viewing or analyzing the graphics.
Graphic of my LinkedIn network – useful as a visualization tool, but not as a presentation tool.
Visualization graphics typically incorporate a relatively large number of data points, enabling the analyst to view respondent segments, trends or outliers in a manner that may not be obvious from the viewpoint of tabular reports.
Presentation on the other hand, embodies the the art of communication, and presentation graphics are therefore designed to quickly and persuasively depict a key point or conclusion from the analysis of the survey results
Visualization graphics are typically “noisy”, containing lots of information and capturing several dimensions including multiple axes, quadrants, or variations of text or data point sizes. Visualization graphics typically require careful study and consideration to identify their underlying meaning.
On the other hand, presentation graphics need to immediately convey the point that the graphic is making. They are purposefully succinct and focused, and as such presentation graphics typically avoid multiple dimensions. Good presentation graphics preclude the need for supporting explanatory text to convey their message.
The experience analyst will be thinking of presentation graphics at every step of the data analysis process, including while utilizing visualization graphics as an analysis tool. The point of the analyst’s effort is to ultimately communicate the results of the analysis to busy decision makers in a manner they can readily comprehend.
Stay tuned to this blog as we explore new and interesting ways to use graphics to both analyze and present the results of survey data.
If you’d like to learn more about how to prepare survey data for analysis, please download our whitepaper “10 essential prerequisites for survey data analysis”.