Courses :: Module, DATA VISUALISATION

	Overview
	Design and implementation of data visualisations for exploratory data analysis, and assessment of structure and dependencies. Principles of graphical perception. Visual encoding of quantitative information. Use of colour. Interactive techniques. Spatial data. Making maps. Software includes the R packages ggplot, Shiny and leaflet.

Overview

Design and implementation of data visualisations for exploratory data analysis, and assessment of structure and dependencies. Principles of graphical perception. Visual encoding of quantitative information. Use of colour. Interactive techniques. Spatial data. Making maps. Software includes the R packages ggplot, Shiny and leaflet.

	Learning Outcomes
	On successful completion of the module, students should be able to: Understand how to encode quantitative information. Design suitable data visualisations. Understand and use interactive techniques. Implement these techniques in software.

Learning Outcomes

	Autumn Supplementals/Resits
	Are supplemental/resit registrations permitted? Yes University scheduled written examination (Autumn): 120 minutes, On-campus

Autumn Supplementals/Resits

	Pre-Requisites
	ST203

Pre-Requisites

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Courses / Module

DATA VISUALISATION

Semester 1

Semester 2