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module

Postgraduate Module Descriptor


SOCM029: Data Visualisation

This module descriptor refers to the 2022/3 academic year.

Module Content

Syllabus Plan

Whilst the module’s precise content and order of syllabus coverage may vary, it is envisaged that it will include the following topics:

  • Course Introduction, Terminology
  • Introduction to R. Types of data
  • Main principles of data visualization
  • Types of statistical graphics
  • Cleaning and preparing data for visualisations. The package dplyr.
  • Basic Charts and Plots, Multivariate Data Visualization
  • The package ggplot2: structure of plots and commands
  • Principles of Perception, Color, Design, and Evaluation
  • Text Data Visualization
  • Temporal Data Visualization
  • Geospatial Data Visualization
  • Network Data Visualization¬†

Learning and Teaching

This table provides an overview of how your hours of study for this module are allocated:

Scheduled Learning and Teaching ActivitiesGuided independent studyPlacement / study abroad
221280

...and this table provides a more detailed breakdown of the hours allocated to various study activities:

CategoryHours of study timeDescription
Scheduled Learning and Teaching Activity2211 x 2 hour lectures and labs
Guided Independent Study60Reading and preparing for lectures and labs (around 4-6 hours per week)
Guided Independent Study 68Researching and writing assessments and assignments (researching, planning and writing the course work).

Online Resources

This module has online resources available via ELE (the Exeter Learning Environment).

 

https://ggplot2-book.org/index.html

 

https://socviz.co/

 

https://r4ds.had.co.nz/index.html