G. Sawitzki StatLab Heidelberg Data analysis and visualisation for small dimensions
Last revision: 27. May 2014 by gs

Data analysis and visualisation for small dimensions

G. Sawitzki
StatLab Heidelberg

Software Sources (in alphabetical order)


Data Desk

Data Desk

From the Data Desk advertisement:

Data Desk's dynamic plots and tables show patterns and structure among several variables. Rotating plots and sliders use animation to reveal aspects of your data that static plots cannot show. Changing the color, symbol and selection state of datapoints instantly changes all plots to show patterns, clusters, and outliers. Hot Set selections restrict displays to subsets of your data with a single click.

http://www.datadesk.com/


Ggobi

From the ggobi home page:

GGobi is an open source visualization program for exploring high-dimensional data. It provides highly dynamic and interactive graphics such as tours, as well as familiar graphics such as the scatterplot, barchart and parallel coordinates plots. Plots are interactive and linked with brushing and identification.

http://www.ggobi.org/
demo videos


Data Desk

R

From "What is R?"

R is a language and environment for statistical computing and graphics.

http://www.r-project.org/


Data Desk

Rosuda

From the Rosuda reseach page:

Exploratory Data Analysis and Exploratory Modelling Analysis

Modern, innovative software enables not only true Exploratory Data Analysis but also Exploratory Modelling Analysis, that is the reviewing and comparison of multiple competing models of data. MANET is primarily designed for EDA, but also gives an overview of many models through graphical analyses of residuals. TURNER offers many tools for exploratory investigation and manipulation of contingency tables, but its strength is the flexible comparison of loglinear models. It is a major aim of the department to extend the ideas underlying Exploratory Modelling Analysis.

http://stats.math.uni-augsburg.de/software/


Voyager

Voyager

From the Voyager home page:

Voyager is a project to explore the feasibility of a portable and extensible system for simulation and data analysis systems. The Voyager project is carried out by StatLab Heidelberg. All components of Voyager are intended to be open for the public domain.

Added: Voyager is included in the recent distributions of the Oberon operating system from ETH Zürich.

A survey article is published in the Journal of Computational and Graphical Statistics, Volume 5 No 3 (1996) 263-283. Voyager has been demonstrated at Compstat 94. The (revised) Compstat manuscript is here as a PDF file.

Voyager Missions

There are two main variants of Voyager, or missions if you like. The first variant, Voyager I, is the main development line. It is designed to be portable and may be integrated in various environments. For development, this versions needs an Oberon System 3 environment.
Voyager II, launched later on a similar track, is an experimental variant which tries to get additional impetus from other developments in computing, like BlackBox or Java. If features explored by Voyager II prove reliable and efficient, they may be eventually rolled into the main development line, Voyager I.

http://www.statlab.uni-heidelberg.de/projects/voyager/