Trainer: Jan Aerts

Data visualisation and visual analytics – introductory presentation

Overview: This initial presentation introduces the principles of data visualisation and visual analytics, exploring the strengths and limitations of human visual perception. It also showcase different visualisation approaches for different data types.

Learning outcomes:

By the end of this session you will be able to:

• Identify the reasons why visualisation is needed
• List fundamental concepts of human perception and cognition
• List and different techniques for visualisation and principles of visual design.

Materials

• Data visualisation – introduction

Data visualisation and visual analytics – fundamental concepts and frameworks

Overview: In this presentation goes over conceptual frameworks for data visualisation and the selection of effective visual encodings. It also covers the visual design process and introduce methods for evaluating visualisations.

Learning outcomes:

• Apply different techniques for visualisation and principles of visual design

Materials:

• Data visualisation – Part 1
• Data visualisation – Part 2
• Other visualisation made for another competition–> looking at post-translational modifications in proteins: https://biovis2022.vercel.app/ (may take a few seconds to load)