What are Data Insights to Professional Visualization Users?
Po-Ming Law, Alex Endert, John Stasko
TL;DR
This study explores how professional visualization users perceive data insights, identifying key characteristics and proposing practical guidelines for developing tools that effectively communicate insights automatically.
Contribution
It provides the first detailed analysis of professional users' perceptions of data insights and offers design implications for visualization tools.
Findings
Seven characteristics of data insights identified from user interviews.
Practical implications for automatic insight communication tools.
Enhanced understanding of user perceptions of data insights.
Abstract
While many visualization researchers have attempted to define data insights, little is known about how visualization users perceive them. We interviewed 23 professional users of end-user visualization platforms (e.g., Tableau and Power BI) about their experiences with data insights. We report on seven characteristics of data insights based on interviewees' descriptions. Grounded in these characteristics, we propose practical implications for creating tools that aim to automatically communicate data insights to users.
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