Scientific Data Visualisation

Timetable

The course will start in winter semeter and include mainly practical computer classes. The classes will be conducted at the Faculty of Biology (ul. Uniwersytetu Poznanskiego 6, class K3 - first floor).

Suggested dates and hours:

13 December 10:30-12:45, 14 December 15:30-17:45

20 December 10:30-12:45, 21 December 15:30-17:45

10 January 10:30-12:45, 11 January 15:30-17:45

17 January 10:30-12:45, 18 January 15:30-17:45

24 January 10:30-12:45, 25 January 15:30-17:45

Module aim (aims)

Have you ever seen a scientific graph that you would like to have in your own dissertation but just haven't been able to reproduce it? In this course, we will teach you how to prepare beautiful scientific plots and graphs. A drawing that you can directly use in your thesis with the proper size, colours, resolution, axis & legend descriptions…. We will guide you through the most common scientific graphs, charts and plots (boxplots, scatterplots, heatmaps, polarplots, maps and many more…). The course will be conducted in R programming language, mainly with the use of the ggplot library. However, if you do not know R language, this is not a problem (we will teach you that as well).

Pre-requisites in terms of knowledge, skills and social competences (where relevant)

Basic skills in R programming are welcome but not obligatory.

Syllabus

The most important topics during the course incude:

• Introduction to R programming, tidyverse package and ggplot (5h)
• Preparation of scientific graphs (15h):
  • boxplots
  • scatterplots
  • heatmaps
  • polarplots
  • and many others...
• How to make maps in R (10h)

Reading list

https://ggplot2.tidyverse.org/

https://r4ds.had.co.nz/data-visualisation.html

https://datacarpentry.org/R-ecology-lesson/04-visualization-ggplot2.html

https://r-graph-gallery.com/ggplot2-package.html