About Rattle
Rattle (the R Analytical Tool To Learn Easily) is an open-source graphical user interface (GUI) for data science and machine learning in R.
Rattle, which stands for the R Analytical Tool To Learn Easily, is an open-source Graphical User Interface (GUI) for performing data science and data mining tasks using the R programming language. Developed by Togaware, it is designed to make the power of R accessible to a broader audience, including those who are not expert programmers. The tool allows users to explore data through statistical and visual summaries, transform datasets for modeling, and build both unsupervised and supervised machine learning models. A key feature is its ability to generate the underlying R code for every action performed in the GUI, serving as an excellent learning tool. Rattle is a free, downloadable package available on CRAN and is used in both academic and commercial settings. It runs on Windows, MacOS, and GNU/Linux. As it is open-source software, there are no published pricing plans or formal support tiers.
Pros & Cons
- Open-source and free to use, available on CRAN.
- Provides a graphical user interface, making R's data mining capabilities more accessible.
- Automatically generates R code, which is a great learning tool for users new to R.
- Supports a wide range of data science tasks from data exploration to model building and evaluation.
- Available for Windows, MacOS, and GNU/Linux operating systems.
- As an open-source project, it lacks dedicated commercial support options like live chat or phone support.
- The website does not provide a centralized list of features, requiring users to infer capabilities from documentation and blog posts.
Features
Key features
Provides a GUI for data mining using R, making it accessible for users without extensive coding knowledge.
Presents statistical and visual summaries of data to help users understand their datasets.
Includes tools to transform data so it can be readily modeled.
Supports the creation of both unsupervised and supervised machine learning models.
Automatically generates the underlying R code for all operations, which can be used for learning R or for independent execution.
Additional features
Offers visual and statistical summaries to explore datasets.
Presents the performance of models graphically.
Allows for scoring new datasets using the built models.
Provides installation instructions for GNU/Linux, MacOS, and Windows.
Integrates with algorithms like xgboost for building ensemble tree models.
Pricing
Countries & Languages
Interface languages
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About Rattle
Rattle (the R Analytical Tool To Learn Easily) is an open-source graphical user interface (GUI) for data science and machine learning in R.
Rattle Details
Rattle's In-App Market Place
Does Rattle have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
0
Mini Apps
Pricing Options
Accepted Payment Currencies
Pros & Cons
- Open-source and free to use, available on CRAN.
- Provides a graphical user interface, making R's data mining capabilities more accessible.
- Automatically generates R code, which is a great learning tool for users new to R.
- Supports a wide range of data science tasks from data exploration to model building and evaluation.
- Available for Windows, MacOS, and GNU/Linux operating systems.
- As an open-source project, it lacks dedicated commercial support options like live chat or phone support.
- The website does not provide a centralized list of features, requiring users to infer capabilities from documentation and blog posts.
Rattle's Support Options
Email Address
support@togaware.comRattle's Alternatives
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