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Rattle GUI
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Rattle GUI

Overview
Synopsis

Rattle is Free (as in Libre) Open Source Software and the source code is available from the Bitbucket repository.

Category

Data Mining Software Free

Features

•File Inputs
•Statistics
•Statistical tests
•Clustering
•Modeling
•Evaluation
•Charts
•Transformations

License

Open Source

Price

Free

Pricing

Subscription

Free Trial

Available

Users Size

Small (<50 employees), Medium (50 to 1000 employees), Enterprise (>1001 employees)

Website
Company

Rattle GUI

What is best?

•File Inputs
•Statistics
•Statistical tests
•Clustering
•Modeling
•Evaluation
•Charts

What are the benefits?

• Learn and develop skills in R
• Provides ease of use
• Build your own models
• View performance graphically
• Get freedom to review, use or extend code
• Get regular updates

PAT Rating™ ( Beta)
Editor Rating
Aggregated User Rating
Rate Here
Ease of use
7.6
7.9
Features & Functionality
7.6
8.2
Advanced Features
7.6
8.1
Integration
7.6
8.1
Performance
7.6
Training
Customer Support
7.6
0.0
Implementation
Renew & Recommend
Bottom Line

Rattle - the R Analytical Tool To Learn Easily - is a popular GUI for data mining using R. It 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.

7.6
Editor Rating
6.5
Aggregated User Rating
2 ratings
You have rated this

Rattle is Free Open Source Software and the source code is available from the Bitbucket repository. Rattle gives the user the freedom to review the code, use it for whatever purpose the user likes, and to extend it however they like, without restriction. Rattle is a popular GUI for data mining using R. It 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. One of the most important features is that all of the user’s interactions through the graphical user interface are captured as an R script that can be readily executed in R independently of the Rattle interface. Rattle clocks between 10,000 and 20,000 downloads per month from the RStudio CRAN node. 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. 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.

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1 Reviews
  • Darby Taliulu
    September 11, 2017 at 11:31 am

    Intuitive interface that provides an entry into sophisticated data mining

    Company size

    Enterprise (>1001)

    User Role

    Super User

    User Industry

    Computer

    Rating
    Ease of use8.1

    Features & Functionality8.2

    Advanced Features8.1

    Integration8.1

    ADDITIONAL INFORMATION
    Rattle is a graphical user interface for data mining using r. Rattle runs under GNU/Linux, Macintosh OS/X, and MS/Windows. Rattle provides an intuitive interface that provides an entry into sophisticated data mining using the open source and free statistical language R. Rattle also provides a stepping stone to more sophisticated processing and modeling in r itself. One of its 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. Rattle also presents statistical and visual summaries of data and transforms data so that it can be readily modeled to build both unsupervised and supervised machine learning models. It presents the performance of models graphically and scores new datasets for deployment into production. Another feature which is a plus for rattle is that; you have 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.

Ease of use
Features & Functionality
Advanced Features
Integration
Performance
Training
Customer Support
Implementation
Renew & Recommend

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