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Edinburgh DataVis Meetup

The VisHub is and interdisciplinary research group seekinc creative ways to interactive, exploratory and explanatory visualizations across domains and environments (e.g., screen, physical, immersion) to understand and communicate complex data. Our goal is to make data visualiztion and data analytics understandable by everyone. We are based at the Institute for Design Informatics and the School of Informatics at the University of Edinburgh. Our research includes, but is not limited to:

We are heavily involved in co-organizing Edinburgh’s Data Vis Meetup. Get in touch with us if you want to become involved.

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Topics & Projects (> Publications)

Visualization Education

Designing visualization activities and teaching resouces for education with visualization Web

Text Analysis for Clinical Guidelines

In this project we are applying a combination of natural language processing and data visualisation to UK hospital guidelines for treating COVID-19 patients. Web

Online Course Data Visualization for Professionals

Running from June 15 to July 17. https://datavis-online.github.io

Data Visualization Cheat Sheets

Data Visualization Cheat Sheets are aimed at supporting learning and teaching of data visualization techinques and investigate ways to better teach data visualization in general. http://visualizationcheatsheets.github.io

Data Comics

Data Comicscombine visual language and narrative patterns from traditional comics to tell expressive stories with data and visaulization. We explore this exciting medium and develop workshops and guiding material. http://datacomics.net

Immersive Anlytics

The Edinburgh VisHub is an university-wide lab for data visualization equipment to foster research, collaboration, learning, and outreach. DXR and IATK are two toolkits for creating immersive data visualizations in augmented and virtual reality. Check how to participate in our upcoming workshop at CHI 2020.

The Vistorian: Network Visualization

The Vistorian is an Interactive Visualizations for Dynamic and Multivariate Networks. Free, online, and open source. More information on the Vistorian-blog. http://vistorian.net

Survey on Geographical Networks

http://geographic-networks.github.io