Data Visualisation with R: 100 Examples

iGenomicViewer: R package for visualisation of high dimension genomic data

While the technologies for high dimensional data have been advancing, a lack of adequate visualisation tools to accommodate the results and inability to integrate multiple sources of data has emerged. The move towards multi-disciplinary work and collaborative research impresses the need for visualisation and analysis tools that are platform independent and customisable. iGenomicViewer through t...

Data visualisation

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Data Visualisation with IRIS Explorer—What's New?

The use of IRIS Explorer, a data visualisation toolkit, is described with reference to some examples from the fields of chemistry, computational fluid dynamics and finite element analysis. Some of the new features in the latest version of the toolkit are highlighted, and its relationship to other technologies such as the NAG Fortran 77 library, Open Inventor and VRML are discussed in detail.

Data Visualisation and Exploration with Prior Knowledge

Visualising data for exploratory analysis is a major challenge in many applications where there is a need to gain insight into the structure and distribution of the data (e.g. to find common patterns and to identify relationships between samples as well as variables). Typically, visualisationmethods like principal components analysis (PCA) and multi-dimensional scaling (MDS) are employed. These...

Visualisation of Categorical Data