ETF5922 · Data visualisation and communication

Overview

This unit provides a comprehensive introduction to data visualisation. You will learn how to interpret, evaluate and create visualisations using contemporary visualisation tools. The course begins with the foundational principles of data visualisation, including what makes a visualisation effective and the core design elements. You will be then introduced to the tools needed to create visualisations and will learn how to choose the right visualisations for different types of data. We will explore single-variable and multivariable plots. You will develop data wrangling skills, which are essential for cleaning and preparing datasets, and will engage in iterative processes to refine and improve your visualisations. As the course progresses, we’ll cover visual storytelling and more advanced topics such as visualising uncertainty and missing data. Interactive and animated visualisations will also be covered. This unit emphasises hands-on practice and using real-world applications of data visualisation in business. At the end of the unit you will be equipped to effectively communicate data-driven insights using visualisation in your future careers.

Offerings

Assessment

The Handbook lists an examination for this unit.

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

Learning outcomes

1. critically evaluate the quality of a data visualisation using the principles of graphical excellence
2. successfully create high-quality data visualisations in both Power BI and R that are appropriate for a given dataset
3. develop the skills to effectively use data visualisation to communicate insights to an audience, both in report writing and in presentations
4. apply advanced topics in data visualisation, such as visualising uncertainty, visualising missingness and using animation to enhance communication.

Workload

Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. You are expected to complete all pre-class activities prior to your scheduled class, and post-class activities should be completed after your scheduled class. Learning activities may include a combination of teacher directed, peer directed and online engagement activities.

Student experience, not official rules. Nothing here changes what the Handbook says.