Book: Data visualisation with ggplot2

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Course Details

Course Outline
Learning Outcomes
Materials
Prior Knowledge

Course Outline

Introduction to the different graphics packages
Introduction to the fantastic {ggplot2} package
Groups, geoms, stats and layers within {ggplot2}
Scales, axes and legends
Facets, colour themes and general themes

Learning Outcomes

Session 1:

By the end of session 1 participants will…

understand the basics of {ggplot2}
know how to create effective plots with the ggplot() function
understand how to use {ggplot2} aesthetics
understand how to use geom_* functions to create:
- bar plots
- heat maps
- density plots
- histograms and much more
be able to facet plots using facet_* functions

Session 2:

By the end of session 2 participants will…

be able to modify the scale of a plot including colour palettes
be able to use built-in as well as external plot themes
understand how to manually customise existing theme components
be familiar with {plotly} and {gganimate}, used for dynamic visualisations

This course does not include:

The creation of 2D maps using spatial data, see our course on Spatial Data Analysis with R.
Plotting of time series data, see our course on Time Series Analysis With R
Data manipulation and data cleaning. For data cleaning and manipulation see our Data Wrangling with Tidyverse course.

Materials

Prior Knowledge

A basic knowledge of R is assumed for this course. In particular, attendees should be familiar with the topics covered in the introduction to R course. This course will be a mixture of lectures and computer practicals. The goal is to enable participants to apply the techniques covered to their own data. This course is suitable for all fields of work. Previous attendees include biologists, statisticians, accountants, engineers & students, i.e., anyone who uses a spreadsheet!

Attendee Feedback

“The instructor was incredibly effective - good communication, and good time management, and well-prepared material! I really liked how the instructor “parked” student questions so as to not get off-topic, and then came back with answers at a more appropriate time! No time wasted setting up software!”
“Sometimes plotting our data/results is something that we HAVE TO do, but I’ve just discovered how fun it can be. Rhian was a great teacher and also gave us many external resources to get ideas and improve our skills.”
“Theo was an excellent teacher and the course was very good. Thank you.”
“Mandy was simply incredible. She is very patient, extremely clear and she really gets the questions asked from her, immediately and spot on. I have learned more in these two sessions than in a whole year of shopping around for R syntax online.”

Data visualisation with ggplot2