Challenges and Opportunities in Data Visualization Education: A Call to Action.

This paper is a call to action for research and discussion on data visualization education. As visualization evolves and spreads through our professional and personal lives, we need to understand how to support and empower a broad and diverse community of learners in visualization. Data Visualization is a diverse and dynamic discipline that combines knowledge from different fields, is tailored to suit diverse audiences and contexts, and frequently incorporates tacit knowledge.

A Didactic Framework for Analyzing Learning Activities to Design InfoVis Courses.

Data visualization is a powerful tool to cope with the demands of our current information age. In order to understand and be able to develop visualizations for specific use cases, data visualization activities (vis activities) have been proposed in recent years. These highly effective tools focus on practical relevance, reflection, and discussion in order to teach data visualization knowledge in a variety of contexts.

Glyphboard: Visual Exploration of High-Dimensional Data Combining Glyphs with Dimensionality Reduction.

Rigorous data science is interdisciplinary at its core. In order to make sense of high-dimensional data, data scientists need to enter into a dialogue with domain experts. We present Glyphboard, a visualization tool that aims to support this dialogue.