Data Visualisation

Learning Outcomes

Subject Specific Practical Skills

Having successfully completed this module you will be able to:

• construct effective data visualisations, including both static and interactive visualisations.

Subject Specific Intellectual and Research Skills

Having successfully completed this module you will be able to:

• critically assess different methods of data visualisation and select one appropriate for a particular purpose and audience.

Knowledge and Understanding

Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:

• the principles of information design;
• the principles of interaction design.

Transferable and Generic Skills

Having successfully completed this module you will be able to:

• interpret and criticise data visualisations, and identify those that are misleading.

• Principles of information design
• Graphical typology
• Tools for data visualisation
• The grammar of graphics
• Principles of interaction design
• Visualisation on the web
• Interactive visualisation in R and Shiny
• Report automation and dashboards using R and markdown.

Teaching and learning methods

Teaching will be delivered face to face intensively over a week and will include lectures and practical computer workshop in Python. A range of resources will also be provided for further self-directed study.

Resources & Reading list

Textbooks

Claus O. Wilke (2019). Fundamentals of Data Visualization . O'Reilly Media .

Assessment strategy

100% Coursework

Summative

This is how we’ll formally assess what you have learned in this module.

Referral

This is how we’ll assess you if you don’t meet the criteria to pass this module.

Repeat Information

Repeat type: Internal & External