Visual data analysis

Aim

On completion of the course, the student should be able to: - account for the role of visualisation methodology in data analysis, - apply modern visualisation methods, both static and interactive, - select appropriate visualisation techniques for current problems, - interpret the results acquired, - account for explorative data analysis in common statistical programs.

Content

The course aims to have the student acquire and develop a constructive approach to how statistical data can be illustrated and to introduce common statistical programs. The following is studied in the course - one-dimensional visualisation of cross-section data, - one-dimensional visualisation of time evolution, - one-dimensional visualisation for comparisons, - m-dimensional visualisation of cross-section data, - m-dimensional visualisation of time evolution, - m-dimensional visualisation for comparisons, - interactive diagram types, - descriptive statistics in statistical programs.