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

News: Keep an eye out for AnalyticDroid from Togaware, an Android application for controlling analytics from a mobile device using R running on a cloud computing environment. (Item added 15 May 2010.)

News: Rattle was listed, 29 April 2010, as one of the top 10 graphical user interfaces in statistical software.

News: The RStat Brochure offers a guide to the features of Rattle/RStat. RStat is Information Builder's integrated offering of Analytics within the WebFocus business intelligence platform, based on Rattle.

News: The Rattle Paper has been published in The R Journal, 1(2):45-55, December 2009. The paper provides a basic introduction to Rattle for Data Mining. Once again, when this was announced on KDnuggets it was the most viewed item of the week.

News: Rattle is described as an "attractive, easy-to-use front end ... data mining toolkit" in an article published in the Teradata Magazine, volume 9, issue 3, page 57 (September 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 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.

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 (2009). Rattle: A Data Mining GUI for R, Graham J Williams, The R Journal, 1(2):45-55. http://rattle.togaware.com/

Recent Presentations

Executive Thought Leadership Breakfast - Canberra, 23 September 2009 (IBI and Netezza)
Colloquium on Data Sciences, Knowledge Discovery and Business Intelligence - Sydney, 10 July 2009

Links

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Installing Rattle
Data Mining with Rattle
Source Code

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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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