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Data exploration and visualisation
FIT5147
Synopsis
This unit introduces statistical and visualisation techniques for the exploratory analysis of data. It will cover the role of data visualisation in data science and its limitations. Visualisation of qualitative, quantitative, temporal and spatial data will be presented. What makes an effective data visualisation, interactive data visualisation, and creating data visualisations with R and other tools will also be presented.
Sourced from the Monash Handbook 2026.
Quick facts
- Credit points
- 6
- Level
- 5
- Audience
- Postgraduate
- Type
- Coursework
- School
- Faculty of Information Technology
- Handbook year
- 2026
Prerequisites
No prereqs in the handbook graph.
What it unlocks
Nothing in the visible graph depends on this unit.
Offerings (3)
- Second semesterClayton · FLEXIBLE
- First semesterMalaysia · ON-CAMPUS / Clayton · FLEXIBLE
Listed in 2 areas of study
- Computational scienceElective units
- Earth scienceAdditional advanced studies units