Interactive Data Analysis: Visualization & Beyond
Data analysis is a complex process with frequent shifts among data formats, tools and models, as well as between symbolic and visual thinking. In this session, we will consider how to accelerate people's exploration and understanding of data by crafting a careful balance of interactive and automated methods. We will examine how to combine concepts from data visualization, machine learning, and computer systems to design novel interactive analysis tools, covering both interactive demos and principles from academic research. Participants should expect to learn about current trends in visual data analysis tools and gain new insights applicable to their own work.
Share this idea
Additional Supporting Materials
- How can we empower people to transform and clean data -- the most time-consuming aspect of data analysis -- without programming?
- How can we design more effective visualization tools that leverage perceptual design principles and more deeply support analytical reasoning?
- How might we enable domain experts to assess and guide statistical machine learning methods to produce more effective models?
- Jeffrey Heer, University of Washington / Trifacta Inc.
Jeffrey Heer, Assoc Professor of Computer Science & CoFounder & Chief Experience Officer, University of Washington / Trifacta Inc.