Let’s remind ourselves of what we are calling “multi-questions.” The next plot, from a research-survey report (Kilpatrick Townsend CyberSec 2016 [pg. 7]) illustrates one. The plot derives from a multiple-choice question that listed seven selections and where “More than one choice permitted” applied. The plot gives the percentage of the 605 respondents who chose each selection.

You can spot such multi-questions because the percentages in the plot add up to more than one hundred. Here they total 237% which means an average of 2.37 selections per respondent.

Now, about presenting the results of multi-questions. Other than prose, the simplest description of the distribution of responses to a multi-choice question is a table. A table succinctly tells how many respondents chose each selection. From the data set we have been using and the question’s nine selections, the total number of roles selected was 318 from 91 respondents. A maximum of 819 possible selections could have been made if each respondent had checked each selection. When you know the number of participants in your survey, you can add a column for percentages.

If a table is not sorted by a relevant column, like the table above is sorted on “Selected”, it is harder for readers to compare frequencies. Column charts use bar height to help with comparisons, as the plot below illustrates. We used the data in the table above and added the frequency of selection in each bar.