What are Data Insights to Professional Visualization Users?
Not on the map. Why?
Abstract (arXiv)
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.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 29 Aug 2020.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2021: 1; 2022: 1; 2023: 0; 2024: 0; 2025: 1.
3 papers.
- 2021Accessible Visualization via Natural Language Descriptions: A Four-Level Model of Semantic Contentcited by 38
- 2022AnaMeta: A Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Taskscited by 8
- 2025Scaling Unverifiable Rewards: A Case Study on Visual Insightscited by 0
- 2025Scaling Unverifiable Rewards: A Case Study on Visual Insights27 Dec 2025
- 2022AnaMeta: A Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Tasks2 Sep 2022
- 2021Accessible Visualization via Natural Language Descriptions: A Four-Level Model of Semantic Content8 Oct 2021