Togaware: Rattle: Gnome Cross Platform GUI for Data Mining using R

News: RStat (based on Rattle) can now export data mining models, through the open standard, to C code for deployment within the business intelligence product, WebFOCUS RStat.

News: Steve Miller, President of OpenBI, a Chicago-based business intelligence consultancy wrote a piece on Rattle, 24 January 2009, in Information Management.

News: The author of Rattle, Dr Graham Williams, was interviewed by Decision Stats, 13 January 2009.

Rattle (the R Analytical Tool To Learn Easily) is a data mining toolkit used to analyse very large collections of data. 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 language R.

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 was the top software news item, as measured by the number of people reading it for 2006, in the internationally distributed KD Nuggets newsletter.

Rattle is also used to teach the concepts 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.

Further data mining resources are also available from Togaware.

Rattle is open source and freely available from Togaware. You can download Rattle and get familiar with its functionality without any obligation, except for the obligation to freely share! Organisations are also welcome to purchase Rattle, including support for installation and initial training, and ongoing data mining support. Email rattle@togaware.com for details.

Citation

If you use Rattle, please cite it according to citation("rattle"), or something like:

Graham Williams (2008). Rattle: A graphical user interface for data mining in R using GTK. R package version 2.4.10 http://rattle.togaware.com/

Recent Presentations

ARK Group - Sydney 28 May 2008
Business Intelligence Conference - Santiago 11 June 2008
Australian Statistical Conference - Melbourne 28 June 2008
UseR! Statistics Conference - Germany 11-14 August 2008

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References to Rattle:

Commercial Support for R

REvolution Computing offers a version of R called RPro that includes support and additional documentation, and the binary is optimized with high-performance math libraries.
R-PLUS (MS/Windows only) provides a supported user friendly version of R using an Excel-like spreadsheet for manipulating data to create publication-quality reports, generate editable graphics and run models through dialogs.

Discussion Group

A Rattle Users mailing list is hosted by Google Groups. You can visit this group or subscribe:

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