Likert Scale
Documenting my Tableau learning journey.
Likert Scale
Survey on mental wellness in Singapore.
Full visualisation available on Tableau Public.
Good for
Analysing survey data
How to create - step by step
I have used the Covid-19 tracker data for Singapore from YouGov.
Data Cleaning - MS Excel
As there are quite a number of survey questions, I have only retained 4 questions relating to mental health (PHQ questions) and some demographic data.
Blank observations were removed from my final dataset.
Data Preparation - Tableau
Pivot data
Rename headers
Create score
Create alias for score
Create alias for Question
Create age group
Likert Scale with neutrals by the side
- Create calculated fields
- No of records
- Count positive/negative/neutral
Due to the nature of the responses, I have categorised the responses 3 types of sentiments:
Sentiments Responses Positive Not at all Neutral Prefer not to say Negative Several days, More than half the days, Nearly everyday
- Sentiment percentage
Arrange variables
Change chart type to “Bar”, Select dual axis and synchronize axis, remove measure names.
Add neutral %
Fix axis of neutrals to align both charts
Format chart according to preference.
Here you have a likert scale chart with neutrals by the side.
However, given that the percentage of neutrals are relatively small, it may be more meaningful to have neutrals between the positive and negative responses
The usual likert scale
- Create calculated fields
- Count positive/negative/neutral
- Sentiment percentage
Put it together
Repeat step 3 as mentioned above - Change chart type to “Bar”, Select dual axis and synchronize axis, remove measure names.
Sort % score accordingly.
There you have a likert scale chart!
Adding some interactivity
- Add [Question] and [Endtime] to Filters. Select show filter for both.
For Question - select Single Value (dropdown) for [Endtime] select Range of Dates.
And.. there you have it! Likert scale showcasing survey results.
I would like to thank Prof Kam of Singapore Management University for the inspiration.