  In the past few years, augmented reality (AR) and virtual reality (VR)
technologies have experienced terrific improvements in both accessibility and
hardware capabilities, encouraging the application of these devices across
various domains. While researchers have demonstrated the possible advantages of
AR and VR for certain data science tasks, it is still unclear how these
technologies would perform in the context of exploratory data analysis (EDA) at
large. In particular, we believe it is important to better understand which
level of immersion EDA would concretely benefit from, and to quantify the
contribution of AR and VR with respect to standard analysis workflows.
  In this work, we leverage a Dataspace reconfigurable hybrid reality
environment to study how data scientists might perform EDA in a co-located,
collaborative context. Specifically, we propose the design and implementation
of Immersive Insights, a hybrid analytics system combining high-resolution
displays, table projections, and augmented reality (AR) visualizations of the
data.
  We conducted a two-part user study with twelve data scientists, in which we
evaluated how different levels of data immersion affect the EDA process and
compared the performance of Immersive Insights with a state-of-the-art,
non-immersive data analysis system.
