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Participants will learn the fundamental ideas behind good data visualization and how to apply them in R with packages like ggplot2. The focus is on creating clear and well designed figures, and the course does not include data cleaning or data wrangling. Content includes building common plot types, understanding the ggplot2 structure, selecting accessible and meaningful colour palettes, and adjusting themes to enhance clarity. Guidance is also provided on how to save figures in different formats and bring them into external design software for further refinement. The workshop is aimed at beginners and at researchers with limited experience in making figures in R. Advanced users and anyone seeking highly specialized visualization methods should choose a more advanced course.
Key takeaways
- Principles of effective and clear visual communication
- Building and customizing basic plots with ggplot2
- Choosing appropriate and accessible colours
- Applying simple design strategies for clarity and impact
- Saving figures in useful formats and importing them into other design tools
The workshop suits beginners and those who use R but have limited experience with ggplot2. Participants with advanced skills or advanced visualization needs are encouraged to seek more specialized training.
Practical information
- Event duration: 3 hours
- Number of participants: 25
- Target group: PhD candidates, Postdoctoral Fellows, Early Career Researchers
Lecturer
Elisa Pierfederici | Digital Scholarship Center (DSC)
Elisa Pierfederici is a Research Adviser at the Digital Scholarship Centre, where she focuses on four main areas: leading visualization and science communication initiatives by developing curriculum materials and conducting workshops; managing the Carpentry UiO subcommunity and teaching coding skills in R and Python; coordinating various activities at the Digital Scholarship Centre, including workshops, community engagement, and strategic development; and training researchers in Research Data Management with an emphasis on open research as a certified data manager and curator for natural sciences at DataverseNO.