Futzing and Moseying: Interviews with Professional Data Analysts on Exploration Practices.
- Author(s): Alspaugh, Sara;
- Zokaei, Nava;
- Liu, Andrea;
- Jin, Cindy;
- Hearst, Marti A
- et al.
Published Web Locationhttps://doi.org/10.1109/tvcg.2018.2865040
We report the results of interviewing thirty professional data analysts working in a range of industrial, academic, and regulatory environments. This study focuses on participants' descriptions of exploratory activities and tool usage in these activities. Highlights of the findings include: distinctions between exploration as a precursor to more directed analysis versus truly open-ended exploration; confirmation that some analysts see "finding something interesting" as a valid goal of data exploration while others explicitly disavow this goal; conflicting views about the role of intelligent tools in data exploration; and pervasive use of visualization for exploration, but with only a subset using direct manipulation interfaces. These findings provide guidelines for future tool development, as well as a better understanding of the meaning of the term "data exploration" based on the words of practitioners "in the wild."