Data Visualisation
- Course type
- COMPUTER SCIENCE
- Correspondant
- Stéphane LEGLEYE
- Unit
-
Module 2-09: Pre-specialization
- Number of ECTS
- 2.6
- Course code
- 2AINF12
- Distribution of courses
-
Heures de cours : 21
- Language of teaching
- English
Objectives
Formulate a constructive criticism of a given infographic based on a basic knowledge of graphic semiology (for representation conventions) and cognitive psychology (for visual perception).
faithfully reproduce a statistical infographic using R’s ggplot2 package
Understand the logic of an application coded in d3 js (complete autonomy is not expected, even for simple applications).
Course outline
Visual perception, graphic conventions, scales and colors
Trifecta Checkup and critique of static infographics
The grammar of graphics
R’s ggplot2 library for data visualization
Introduction to event-driven programming
Introduction to the d3.js library on Observable
Designing an interactive infographic
Prerequisites
basic knowledge of R; even superficial knowledge of web languages (HTML, CSS, SVG, JavaScript) is an advantage, but not necessary