Source: Prepare Survey Data Three Easy Steps This means we will be pivoting it like so: This is because the way surveys are set-up is to be readable for humans, while we need it to be readable for machines. We will come to know that all survey data need some sort of transformation. We can see it’s a lot easier to which questions have overall positive and overall negative sentiments and the amount for each sentiment. Comparing it with the following visualisation: Here are some typical methods used to visualise the Likert Scale in Tableau (Source: How to Visualise Sentiment and Inclination)īoth methods have a lot of visual clutter and make it hard to directly compare the negative and positive sentiments. Strongly Disagree = 1, Disagree = 2, …, Strongly Agree = 5 Although it accepts qualitative responses it can be easily turned to a numerical scale:Į.g. ![]() ![]() A Likert Scale is often utilised in surveys and questionnaires as a method to understanding the amount of negative and positive responses.
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