Chair for computeroriented statistics and data analysis
Data visualisation
Interactive graphics are a very effective and intuitive way of
gaining insights from data, which may be difficult to uncover with
standard statistical methods. Visualisation is especially powerful
for the analysis of large datasets, as is described in our book
"Graphics of Large Datasets".
Exploratory Data Analysis and Exploratory Modelling Analysis
We develop methods in tune with the EDA approach first
proposed by John W. Tukey and apply them to exploration of models
as well as to data analysis. We are interested in particular
in the seamless integration of classical statistical methods with
modern graphics.
Software development
The main research aim of the department is to develop new
exploratory tools, tested in practice. This means that
software implementations are essential and a family of interactive
software programmes has been written, "the Augsburg
Impressionists", from MANET, via KLIMT, MONDRIAN and GAUGUIN to
SEURAT and MORET. Methods have to be theoretically
researched, implemented in software and tried out in practice. Our
group lays great store on the elegant, consistent and intuitive
software implementation of our ideas. The iPlots project
implements our ideas in an R package. Further R packages
have also been written, including vmv and extracat.
Cooperation
We cooperate with other university researchers, with
administrative organisations and with commercial companies. We are
always interested in new applications for testing our ideas and
for the generation of novel visualisation and analytical methods.
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