Tutorial: Graphical Data Analysis
What you get is what you see

Antony Unwin, Dept of Computer-Oriented Statistics and Data Analysis University of Augsburg, Germany


Graphical data analysis means using graphics to discover and present information in datasets. This course discusses the role graphics play in analysis and how they can complement and support statistical modelling.

Graphical data analysis is useful for data cleaning, exploring data, identifying trends and clusters, spotting local patterns, evaluating modeling output, and presenting results. It is essential for exploratory data analysis and data mining. R's flexibility and its range of visualization tools make it an excellent software for graphical analysis.



Participants should have a knowledge of standard statistical graphics and experience of carrying out data analysis.


Participants are welcome to bring their own laptops and datasets to explore graphical analyses for themselves, especially in the discussion sessions.

Supporting material

Datasets used in the examples will be available for downloading in June.
The slides used in the course will be available as a pdf file for participants at the course.
Please check here for up to date tutorial resources.