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 Activities | Guided independent study | Placement / study abroad |
|---|---|---|
| 22 | 128 | 0 |
...and this table provides a more detailed breakdown of the hours allocated to various study activities:
| Category | Hours of study time | Description |
|---|---|---|
| Scheduled Learning and Teaching Activity | 22 | 11 x 2 hour lectures and labs |
| Guided Independent Study | 60 | Reading and preparing for lectures and labs (around 4-6 hours per week) |
| Guided Independent Study | 68 | Researching 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