LEO5310 · Data exploration, visualisation, and information design

Overview

Contemporary analytics requires skills in data identification, exploration, and presentation. This unit develops basic skills in the use of SQL and R to clean and explore data. It then focusses on the use of R, as a programming language, for further manipulation and visualisation of complex data. It also provides instruction on the use of Generative AI to draft R code. Through the strategic application of these tools, commonly used throughout the data analytics cycle, the unit emphasises principles of information design in the exploration and visualisation of complex data, thereby improving the usability of analytical findings to support decision making and address dynamic challenges. Examples will be included as a foundation for you to develop your own application of data exploration and visualisation.

Offerings

Assessment

The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.

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

Requisites

The Handbook lists no prerequisite, corequisite or prohibition for this unit.

Learning outcomes

1. identify, collect, and manipulate appropriate data in preparation for data visualisation by using R programming
2. identify the pattern/trends from the visualisation and perform analysis to further understand the relationship(s) between variables using information design
3. understand the principles of information design to apply appropriate types of visual representation to produce useful insights
4. interpret and analyse the results for decision making and develop oral and written communication skills in data reporting.

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.