Comments on A simple Big Data analysis using the RevoScaleR package in Revolution RTypePad2011-05-20T21:31:29ZBlog Administratorhttps://blog.revolutionanalytics.com/tag:typepad.com,2003:https://blog.revolutionanalytics.com/2011/05/big-data-analysis-in-revolution-r/comments/atom.xml/Stephen Weller commented on 'A simple Big Data analysis using the RevoScaleR package in Revolution R'tag:typepad.com,2003:6a010534b1db25970b01538f3738f7970b2011-06-15T22:51:55Z2011-06-15T22:51:55ZStephen WellerYou can run the same analysis on the large airline data, which contains 123,534,969 observations and 30 variables. The large...<p>You can run the same analysis on the large airline data, which contains 123,534,969 observations and 30 variables.<br />
The large airline data can be downloaded here:<br />
http://www.revolutionanalytics.com/subscriptions/datasets/AirlineData87to08.zip</p>
<p>The extracted zip contents of the XDF datafile is 13.4 GB large.<br />
</p>FC commented on 'A simple Big Data analysis using the RevoScaleR package in Revolution R'tag:typepad.com,2003:6a010534b1db25970b01538ed73255970b2011-05-31T09:45:46Z2011-05-31T09:45:46ZFCI second Nick's comments.<p>I second Nick's comments.</p>nick commented on 'A simple Big Data analysis using the RevoScaleR package in Revolution R'tag:typepad.com,2003:6a010534b1db25970b015432897cbe970c2011-05-25T17:29:22Z2011-05-25T17:29:22ZnickA comparison of timing between Open Source R and proprietary Revolution R would have been nice...specially since 600K X 3...<p>A comparison of timing between Open Source R and proprietary Revolution R would have been nice...specially since 600K X 3 data can be crunched in GNU R anyways. And, what about a real big data problem...for eg 3000 columns instead of 3 and 6 million rows instead of 600K? I'd like to see that.</p>