Rattle 2.6.22 (revision 684)

Rattle presents statistical and visual summaries of data, transforms data into forms that can be readily modelled, builds both unsupervised and supervised models from the data, presents the performance of models graphically, and scores new datasets.
Through a simple and logical graphical user interface based on Gnome, Rattle can be used by itself to deliver data mining projects. Rattle also provides an entry into sophisticated data mining using the open source and free statistical languageR.
Rattle runs under GNU/Linux, Macintosh OS/X, and MS/Windows. The aim is to provide an intuitive interface that takes you through the basic steps of data mining, as well as illustrating the R code that is used to achieve this. Whilst the tool itself may be sufficient for all of a user`s needs, it also provides a stepping stone to more sophisticated processing and modelling in R itself, for sophisticated and unconstrained data mining.
Rattle is in daily use by Australia`s largest team of data miners, within the Australian Taxation Office. It is also in use at a variety of government and commercial enterprises, world wide. A number of international consultants also use Rattle in their daily business.
The author of Rattle received a 2007 Australia Day Medallion, presented by the Commissioner of Taxation, for leadership and mentoring in Data Mining in the Australian Taxation Office and in Australia, and particularly cited the development and sharing of the Rattle system.
Rattle is also used to teach the practise of data mining. It was the primary tool of instruction for a Data Mining Workshop in Canberra, and at Harbin Institute of Technology, Shenzhen Graduate School, and for the Australian National University`s course on Data Mining since 2006 and University of South Australia since 2009. It has been used in courses at Yale University.