This module aims to
• Introduce students to R, RStudio and the ‘tidyverse’
• Explain the main principles which can be used to visualize data
• Enable students to implement these principles programmatically
• Encourage reflection on the role that visualization plays in society

(LO1) Demonstrate the ability to design appropriate visualizations of numerical data

(LO2) Write appropriate code to implement their designs

(LO3) Integrate their designs into written reports

(LO4) Understand, critique, and suggest improvements for visualizations in the public domain

(S1) Communication (oral, written and visual) - Following instructions/protocols/procedures

(S2) Communication (oral, written and visual) - Communicating for audience

(S3) Skills in using technology – Using R

(S4) Numeracy/computational skills - Confidence/competence in measuring and using numbers

(S5) Critical thinking and problem solving - Evaluation

Topics covered will include:

Introduction to Data Visualization
Working in R and RStudio
Using RMarkdown
Objects and repetition
The ‘grammar of graphics’
‘Tidy’ data
Critiquing existing visualization
The use of colour and shape
Grouping and comparison
Applying themes and customising visualization
Integrating image and text

Teaching Method 1: Workshop

Scheduled Directed Student Hours: 20

Unscheduled Directed Student Hours:

Description: 2 hour workshop sessions will be held weekly for 10 weeks consisting of two parts: troubleshooting problems with practical tasks which the students have attempted before class, and practicing the development of new skills within class.

Attendance Recorded: Yes

Self-Directed Learning Hours: 80

Description: Asynchronous ‘e-lecture’ and training materials will be available weekly which the students will engage with outside of the workshop sessions. In addition, students will need to engage independently with a range of readings and practical exercises to prepare for workshop sessions.