Welcome to Principles of Data Visualisation and storytelling

Organizer: Gabriela Montoya

Lecturers: Luis-Daniel Ibáñez (Lecturer at University of Southampton, UK)

ECTS: 2

Date/Time: 14-15 May 2024

Deadline: 23 April 2024

Max no. Of participants: 25

Description: For most tasks where we collect and/or analyse data, the ability to visualise what we are doing is critical for making sense to yourself and your collaborators. Appropriate visual and narrative support of the results of the analysis is even more important for communicating (and convincing!) other stakeholders such as grant decision makers and potential investors.       

In this course we will go beyond how to use a library to generate a chart and learn how to choose the appropriate chart depending on what we want to highlight and how to structure our visuals to create a compelling data story.  To do so, we will delve into the principles of human perception and study the narrative patterns that we can apply to tell a story with data. 

The assessment of the course includes an individual design and implementation of a short data story (3-5 screens) and short report (2 pages) justifying the narrative pattern and chart choices.

Knowledge will be put into practice by designing and developing a short data story in a theme of your choice.

Prerequisites: Previous experience with a data analysis software (R, MATLAB, any Python-based, Excel)

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