useR

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

Abstract

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.

Outline

Prerequisites

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

Laptops

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.