Data Visualisation

Overview

This unit develops student's ability to transform data into meaningful and engaging interactive visualisations that communicate insights effectively. Students will learn to prepare data, apply design principles, and use appropriate tools and practices to create and evaluate visualisations for real-world contexts.

Unit learning outcomes

On successful completion of this unit students will be able to:

1. Clean, explore and transform datasets to identify patterns and prepare data for visualisation
2. Critically evaluate data visualisations using visualisation design principles and usability evaluation methods, recommending improvements informed by design analysis and user evaluation
3. Apply visualisation design principles to select and justify visual representations that accurately communicate the structure and characteristics of a dataset
4. Create custom interactive data visualisations using real-world datasets that communicate insights supported by the data through effective design and storytelling
5. Address ethical, governance and accessibility considerations when designing and implementing data visualisations
6. Apply version control practices to organise, track, and maintain software artefacts throughout the development process

Teaching methods

Hawthorn

Content

• Introduction to data visualisation
• Data cleaning, exploration and transformation
• Data sources, data governance and ethics
• Chart types and data visualisation design principles
• Visual perception and colour theory
• Accessibility for data visualisations
• Storytelling
• Usability evaluation methods
• Programming custom visualisations
• Version control

Graduate Attribute – Digital Literacies: Information literacy

Graduate Attribute – Digital Literacies: Technical literacy