Visualizations in R (online)


19/01/2024 - 26/01/2024

Organised by:

The University of Edinburgh


Dr Nicolas Attalides is an experienced R programming instructor and an RStudio certified trainer


Intermediate (some prior knowledge)


Laura Marshall
Working week: Monday - Thursday

video conference logo

Venue: Online


This workshop focuses on visual and graphical possibilities in R. The workshop will introduce the ‘grammar of graphics’ ("ggplot2" package)and enable users to create visualizations that summarise data and statistical results. The workshop will emphasise producing informative and elegant graphics for presentations and for research publications.

Some prior R knowledge is needed.

Please note the course will be held over two one day courses: Day One Friday 19 January and Day Two Friday 26 January 


The fee per teaching day is: • £30 per day for students registered at UK/EU University. • £60 per day for staff at UK/EU academic institutions, UK/EU Research Councils researchers, UK/EU public sector staff and staff at UK/EU registered charity organisations and recognised UK/EU research institutions. • £100 per day for all other participants In the event of cancellation by the delegate a full refund of the course fee is available up to two weeks prior to the course. NO refunds are available after this date. If it is no longer possible to run a course due to circumstances beyond its control, NCRM reserves the right to cancel the course at its sole discretion at any time prior to the event. In this event every effort will be made to reschedule the course. If this is not possible or the new date is inconvenient a full refund of the course fee will be given. NCRM shall not be liable for any costs, losses or expenses that may be incurred as a result of its cancellation of a course, including but not limited to any travel or accommodation costs. The University of Southampton’s Online Store T&Cs also continue to apply.

Website and registration:




Visual Methods, Data Management , Qualitative Data Handling and Data Analysis, Quantitative Data Handling and Data Analysis, Graphs, Interactive data visualisations, communicating and disseminating research

Related publications and presentations:

Visual Methods
Data Management
Qualitative Data Handling and Data Analysis
Quantitative Data Handling and Data Analysis

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