The nascent field of mixed reality is seeing an ever-increasing need for user studies and
field evaluation, which are particularly challenging given device heterogeneity, diversity of …

The advent of low-cost, accessible, and high-performance augmented reality (AR) has shed
light on a situated form of analytics where in-situ visualizations embedded in the real world …

Computational notebooks such as Jupyter are now used by millions of data scientists,
machine learning engineers, and computational researchers to do exploratory and end-user …

Many collaborative data analysis situations benefit from collaborators utilizing different
platforms. However, maintaining group awareness between team members using diverging …

Analyzing complex data is a non‐linear process that alternates between identifying discrete
facts and developing overall assessments and conclusions. In addition, data analysis rarely …

Despite the advances and ubiquity of digital communication media such as
videoconferencing and virtual reality, they remain oblivious to the rich intentions expressed …

Interactive articles are an effective medium of communication in education, journalism, and
scientific publishing, yet are created using complex general-purpose programming tools. We …

We present VRIA, a Web-based framework for creating Immersive Analytics (IA) experiences
in Virtual Reality. VRIA is built upon WebVR, A-Frame, React and D3. js, and offers a …

Data Analytics Anywhere and Everywhere Page 1 key insights ˽ Data is collected
everywhere on our increasingly connected and informationrich globe. ˽ Mobile and IoT …

Mobile Data Visualization is about facilitating access to and understanding of data on mobile
devices. Wearable trackers, mobile phones, and tablets are used by millions of people each …