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The weatherAUS dataset

5 November 2015 Written by Graham Williams
The weatherAUS dataset

The R package rattle provides a dataset that I have been collecting over a few years now from the Australian Bureau of Meteorology.  Like most of the datasets in rattle  it is also available as a CSV file as part of the package (as well as a proper R dataset) and can also be downloaded […]

Rattle
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Rattle v4.0.0 Now on CRAN

5 November 2015 Written by Graham Williams
Rattle v4.0.0 Now on CRAN

A new release of Rattle has hit CRAN – this is version 4.0.0 and brings a variety of stability fixes and enhancements. For example, Jose A Magaña has added support for the display of pairs plots. An obvious addition is the Connect-R button on the toolbar – this will take you to Connect-R where R […]

Rattle
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Machine Learning Algorithms

24 October 2015 Written by Graham Williams
Machine Learning Algorithms

Here’s a quite succinct yet comprehensive summary of machine learning algorithms produced by Jason Brownlee of Machine Learning Mastery. It includes a visual of the algorithms — though it does have a bit of a flavour of phishing for email addresses which is needed to download the graphic. The one below can be found without […]

Rattle
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Tools of Choice for Data Science

13 October 2015 Written by Graham Williams
Tools of Choice for Data Science

A summary of the annual survey of tools and attitudes around data science conducted by Karl Rexer was released at Predictive Analytics World in Boston recently. The full report is expected to be available on RexerAnalytics.com in the next couple of months. For primary tool usage: #1 — 36.2% — R #2 —   7.0% […]

Rattle
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R Visual Analytics using raptR

12 October 2015 Written by Graham Williams
R Visual Analytics using raptR

I saw a demo of a package for Rapid and Pretty Things in R earlier in the year when it was a work in progress. It is now live on GitHub (but not yet CRAN). It allows you to very quickly visualise data in R using a Shiny GUI to generate ggplot2 underneath. A nice […]

General
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R + Shiny + Leaflet + bicycle acciden...

11 October 2015 Written by Graham Williams
R + Shiny + Leaflet + bicycle accidents + Open Street Map

This is a nice example of the power of multiple APIs working together to deliver a solution. The app uses R’s Shiny to control a map built using the open source JavaScript Leaflet based on public data displaying map tiles generated by  Stamen Design on Open Street Map data. Thanks to colleague and R guru […]

Rattle
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Rattle and WebFOCUS RStat from Inform...

4 October 2015 Written by Graham Williams
Rattle and WebFOCUS RStat from Information Builders

I’ve had a few enquiries lately on the relationship between Rattle and the WebFOCUS predictive analytics component called RStat from Information Builders (WebFOCUS is their widely used Business Intelligence suite). I even had an approach recently from an Australian company offering to provide a demonstration of RStat to see if it might be something we […]

Rattle
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Rattle source code now hosted on Bitb...

28 September 2015 Written by Graham Williams

I’ve moved the hosting of the open source Rattle GUI for doing Data Mining with R onto bitbucket using git. Developers can now clone and modify and push requests. Visit https://bitbucket.org/kayontoga/rattle

Rattle
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Connect-R for crowd funded R developm...

28 September 2015 Written by Graham Williams

Connect-R is a relatively new service which acts as a market place for matching requests for improvements to R packages with developers who may be able to do so. There is also the option to crowd fund the development. I’ve started encouraging users of Rattle to add feature requests through Connect-R. A number of new […]

Rattle
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Togaware Site Upgrade

27 September 2015 Written by Graham Williams

Welcome to the new togaware.com site. After over a year living on togaware.net I’ve finally moved the test site over to the main togaware.com site and this is what you are now viewing! You’ll find all of the Togaware resources here still (somewhere or other…). They are being migrated across to the new format bit […]

Togaware
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