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DATA VISUALISATION (R)

Module code: ST832
Credits: 5
Semester: 2
Quota: Restricted entry, contact department for details before registering
Department: MATHEMATICS AND STATISTICS
International:

	Overview
	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 Lectures and tutorials as for ST302. For Registered Research students. Permission is required from the Head of the Mathematics & Statistics Department.

Overview

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

Lectures and tutorials as for ST302.

For Registered Research students. Permission is required from the Head of the Mathematics & Statistics Department.

	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.

Teaching & Learning methods

Assessment

	Autumn Supplementals/Resits
	Are supplemental/resit registrations permitted? No

	Pre-Requisites
	This module is for Registered Research students. Permission is required from the Head of the Mathematics and Statistics Department to take this module.

	Timetable
	This timetable is not currently available, please contact the Mathematics And Statistics Department.

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Courses / Module

DATA VISUALISATION (R)