Rattle – the R Analytical Tool To Learn Easily – is a popular GUI for data mining using R. It is used world wide by independent consultants, data scientists at the major AI companies (including Microsoft, Google, Facebook), and for teaching data science at many universities (including Australian National University, Stanford, MIT, Harvard).
Rattle presents statistical and visual summaries of data, transforms data that can be readily modelled, builds both unsupervised and supervised models from the data, presents the performance of models graphically, and scores new datasets. All of the underlying R code is presented as a script for learning R and for running independent of Rattle.
The Rattle book Data Mining with Rattle and R is available from Amazon. The R package has been available on CRAN for nearly 20 years. There are over 1,400 YouTube videos introducing Rattle.
When you are ready to move on from Rattle into programming with data, my follow up book, The Essentials of Data Science, available from Amazon, provides a guide to the template (or programming by example) approach to data science that Rattle's backend is built on. The templates build on your skill set learnt using Rattle, but using the full power of R with a focus on being accessible to all.
Rattle deploys many (over 100) R packages to offer a comprehensive suite of tools for Data Science. It is freely available to be installed on GNU/Linux, MacOS, Windows, and via a Docker image.
The source code for the Flutter front-end is available on github. The source code for the R support package is hosted on Bitbucket. Anyone is welcome to clone, extend, and lodge pull push requests to contribute to the packages.
The older Rattle Site is available at https://rattle.togaware.com/index.html.
You are welcome to show your appreciation for this freely available and open source software, and support its ongoing development and the growing web site of resources, through a donation via PayPal:
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