How to exclude 'Not Answered' from tables and charts
To look into including or excluding the 'Not Answered' row from tables and charts, we’ll be discussing the following:
Display options
When analysing your data in 'Responses Organised by Question', you can select different display options:
- If you choose 'Include row for 'Not Answered' in tables and charts' then percentages are based on the total number of survey responses.
- If you choose 'Do not include 'Not Answered' row in tables and charts' then percentages are based on the number of responses to that particular answer component.
For example
Let's say 100 people have completed a survey. One of the questions in the survey is: 'Who is your favourite Beatle?'
It is a radio button question so respondents can only choose one favourite Beatle, but it is optional so users don't have to provide an answer.
Here's a breakdown of how they answered:
- John - 29 people
- Paul - 35 people
- George - 8 people
- Ringo - 11 people
Out of the 100 respondents, a total of 83 people answered this question, while 17 submitted the survey without answering this question.
With the 'Not Answered' row shown, percentages will be out of 100 — the total number of people who completed the survey, whether or not they answered this particular question. The report table would therefore look like this:
Option | Total | Percent |
---|---|---|
John | 29 | 29.00% |
Paul | 35 | 35.00% |
George | 8 | 8.00% |
Ringo | 11 | 11.00% |
Not Answered | 17 | 17.00% |
With the 'Not Answered' row omitted, percentages are out of 83 — the number of responses for this question. The report table would therefore look like this:
Option | Total | Percent |
---|---|---|
John | 29 | 34.94% |
Paul | 35 | 42.17% |
George | 8 | 9.64% |
Ringo | 11 | 13.25% |
Grouping
When you group answers by another quantitative question, the percentages are still calculated as above — therefore as a percentage of all answers to the survey or question (not as a percentage of the row or the column).
If any respondents answered the current question (Who is your favourite Beatle?') but did not answer the grouping question ('How old are you?'), then a 'Not Answered' column will be shown even if you've chosen to omit the 'Not Answered' row. This is to ensure that all answers are accounted for in the percentages.
For example if the Beatles question was grouped by another question asking respondents their age, the results would look like this:
Option | Total | 30 or Under | 31-45 | 46-65 | 66 or Over | Not Answered |
---|---|---|---|---|---|---|
John | 29 (39.94%) | 3 (3.61%) | 9 (10.84%) | 8 (9.64%) | 7 (8.43%) | 2 (2.41%) |
Paul | 35 (42.17%) | 9 (10.84%) | 8 (9.64%) | 9 (10.84%) | 9 (10.84%) | 0 (0.00%) |
George | 8 (9.64%) | 2 (2.41%) | 1 (1.20%) | 1 (1.20%) | 2 (2.41%) | 2 (2.41%) |
Ringo | 11 (13.25%) | 2 (2.41%) | 3 (3.61%) | 2 (2.41%) | 3 (3.61%) | 1 (1.20%) |
This tells us that 2 respondents who did not answer the age question selected John as their favourite Beatle.
Here, all the percentages in the table are based on the 83 respondents who answered the question 'Who is your favourite Beatle?'.
Filtering
Where filters are applied, percentages are based on the number responses (to the survey or the question) after responses have been filtered.
For example, if a filter is applied to the Beatles question to include only those that answered 'John', and then the grouping by age was applied, the numbers will be percentages of the total number of respondents who answered 'John'. The results would look like this:
Option | Total | 30 or Under | 31-45 | 46-65 | 66 or over | Not Answered |
---|---|---|---|---|---|---|
John | 29 (100.00%) | 3 (10.34%) | 9 (31.03%) | 8 (27.59%) | 7 (24.14%) | 2 (6.90%) |
Paul | 0 (0.00%) | 0 (0.00%) | 0 (0.00%) | 0 (0.00%) | 0 (0.00%) | 0 (0.00%) |
George | 0 (0.00%) | 0 (0.00%) | 0 (0.00%) | 0 (0.00%) | 0 (0.00%) | 0 (0.00%) |
Ringo | 0 (0.00%) | 0 (0.00%) | 0 (0.00%) | 0 (0.00%) | 0 (0.00%) | 0 (0.00%) |
In this instance the percentages in the table will not change regardless of whether or not you have chosen to include 'Not Answered', because in choosing to filter by 'John' you have already chosen to filter out 'Not answered'.