Introduction to Basic Principles of Data Visualization - Graphs

Through a series of exercises and lectures, the students will learn how to visualise and plot data with graphing tools of various complexity. The aim is to learn how to create publication-ready graphics and potentially interactive visualizations.

Creating publication-ready graphs from data. Designing data-appropriate visualisations, with appropriate concern for the audience. Creating more advanced digital graphs and data displays using modern electronic media (Jupyterlab/Matplotlib/Web Tools)

mündliche Prüfung

Given by the teachers during the lectures.

Unterstützende digitale Lehrmaterialien verfügbar
The course will make intensive use of the Jupyterjub platform at the Uni Bremen.

1. SWS: Background and Theory Graphs and Visualisation
2. SWS: Basic elements of 2D graphs
3. SWS: Static 2D graphs and plots (cont)
4. SWS: Advanced 2D graphs and plots
5. SWS: Basic interactive graphs and plots
6. SWS: Basic interactive graphs and plots 2
7. SWS: Vector vs Raster graphics
8. SWS: Animations + Keypaths
9. SWS: Using advance Webgraphics (typescript, javascript, d3 library)
10. SWS: Coursework: Design your own Visualisation with guidance.
11. SWS: Coursework: Design your own Visualisation with guidance.
12. SWS: Coursework: Design your own Visualisation with guidance.
13. SWS: Coursework: Design your own Visualisation with guidance.
14. SWS: Recap / Exam

Programmierung mit Python, Kartenerstellung mit GMT