Rattle is a popular GUI for data mining using R. It presents statistical and visual summaries of data, transforms data so that it can be readily modelled, builds both unsupervised and supervised machine learning models from the data, presents the performance of models graphically, and scores new datasets for deployment into production. A key features is that all of your interactions through the graphical user interface are captured as an R script that can be readily executed in R independently of the Rattle interface. Use it as a tool to learn and develop your skills in R and then to build your initial models in Rattle to then be tuned in R which provides considerably more powerful options. We give you the freedom to review the code, use it for whatever purpose you like, and to extend it however you like, without restriction, except that if you then distribute your changes you also need to distribute your source code under the same conditions.

Rattle clocks between 10,000 and 20,000 downloads per month from one of over 140 nodes. To install and run open R and paste: install.packages("rattle") library(rattle) rattle() users include the largest banks in India, Australia's ANZ and Commonwealth Banks, the Australian Taxation Office, Australian Department of Immigration, Ulster Bank, Toyota Australia, Victorian Cancer Council, US Geological Survey, Carat Media Network, Institute of Infection and Immunity of the University Hospital of Wales, US National Institutes of Health, AIMIA Loyalty Marketing, Added Value, Stanford University, V.E.S Institute of Technology Mumbai, Microsoft, Chevron, Siemens, and many more. Rattle is also used to teach the practise of data mining at U. of Canberra, Harbin Institute of Technology, Shenzhen Graduate School (since 2006), Australian Consortium for Social and Political Research (2011), Revolution Analytics (since 2012 and now Microsoft), International Centre for Free and Open Source Software in Kerala, India (2015) and many others.