Creating your LIKERT SCALE dashboard Step-by-Step
You want to get a clear understanding on your Likert Scale results? You want to build a Tableau dashboard to better understand your Likert Scale data?
Using LinPack-for-Tableau.com, you can generate an eye-catching, fit-for-purpose Tableau Dashboard on your Likert Scale data in less than 5 minutes!
1st STEP: Create the initial Tableau workbook file
Create a Tableau workbook in which you map your Likert Scale data (whether it comes from: ERP, database, Excel, CSV file...)
You must retrieve at least the following attributes (it is ok if the names don't match, and it is better to add additional attributes to analyze):
Date of survey (Date used for time-series analysis)
Filter 1 (any dimension or level of detail you have in your survey data)
Filter 2 (any dimension or level of detail you have in your survey data)
Filter 3 (any dimension or level of detail you have in your survey data)
Filter 4 (any dimension or level of detais you have in your survey data)
Hard-coded value "Likert Scale"
Grouping of Questions
Label of the question [for instance "I have confidence in the decisions made by leadership"]
Participation Unique Identifier
Label of the answer
[expected values "Strongly disagree", "Disagree", "Neither agree nor disagree", "Agree" or "Strongly agree"]
Integer Value of the answer
[expected values 1 for "Strongly disagree", 2 for "Disagree", 3 for "Neither agree nor disagree", 4 for "Agree" or 5 for "Strongly agree"]
2nd STEP: Upload your Tableau workbook file
On LinPack-for-Tableau.com, select 'create dashboard from template: Likert Scale' and upload your Tableau workbook (note: your data is NOT uploaded).
3rd STEP: Map your attributes
Map the attributes of your workbook on the attributes of the template.
Finally, click 'Confirm & Download'... and your Likert Scale dashboard is already downloading :-)
Open the Tableau workbook file you received, it will automatically reconnect to your data sources.
Your Likert Scale dashboard is now ready to be used or customized!