DataViz: Visualize your scientific data effectively and avoid common pitfalls
Year: 2026
Type: article
Abstract: Workshop held at the Leipzig University Library (more info here). This workshop aims to provide guidelines for creating correct, accessible and graphically attractive visualisations of scientific data. The participants will become familiar with the basics of graphic design for data visualisation and learn how to create scientifically correct, effective and attractive graphics and how to avoid common pitfalls when visualising scientific data.
Author: Martini, Edoardo
Institution: Leipzig University
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7165034594
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