NAG's IRIS Explorer

Data visualization can be defined as the gaining of insight by making a picture out of numbers, and the important role that it plays in the effective interpretation and analysis of numerical data has been recognized for a long time [1]. The type of data to be analyzed can vary from one-dimensional time series (e.g. yearly changes in salary) to multidimensional vector-based datasets (e.g. air flow over an airplane wing). Whilst the simpler types of data can be effectively displayed using ubiquitous desktop applications such as Excel, more complex data require more sophisticated visualization techniques and applications.