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User Experience with Visual Data Analysis Tools

(Prolific)

 

 

This is a study for users of tools such as Tableau, Power BI, Data Studio (Google Looker), Qlik,  Amazon QuickSight, Apache Superset, JMP, Gephi, and similar tools.

The tool you use needs to focus on data analysis through data visualizations. Answers about programming languages like Python, C++, etc., will not be accepted

The goal of this research is to develop a validated scale to assess users' experiences after having used a visual data analysis tool.  This past use may have involved modifying the data, the visual representation, or the underlying models.

Please respond to this survey only if you:

- have opened and interacted with a visual data analysis system by loading data and creating visualizations, and are able to remember your most recent interaction,

- speak English fluently, and

- are of legal age (18 years in most countries).

This study is conducted by:

Please note that this survey does not allow you to return to questions you have already answered, and there is a question to test your attention among the items in the questionnaire.

Click "Next" if you are interested in further details about the study.

 

This survey is anonymous.

The record of your survey responses does not contain any identifying information about you, unless a specific survey question explicitly asked for it.

If you used an identifying access code to access this survey, please rest assured that this code will not be stored together with your responses. It is managed in a separate database and will only be updated to indicate whether you did (or did not) complete this survey. There is no way of matching identification access codes with survey responses.

 
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