Monday, 18 April 2011

R Graphs Cookbook

Right away, you should realize this is not a book that teaches R. R (an excellent open source statistical language) is a great tool for any technician. I've used it to analyze logs, find performance bottlenecks, and make sense of mountains of nearly unrecognizable data. But this book doesn't teach R, it teaches R graphing.

It turns out R has excellent graphing capabilities. You can draw scatter plots, line plots, pie graphs, bar charts, histograms, box and whisker plots, heat maps, contour maps and 'regular' maps. These are all good for demonstrating data in different ways, and the book lightly explains which graph will help you illustrate which point.

If you're getting a little interested, you'll also want to know that all this graphing can be scripted and scheduled. So you can get data-driven reports on a schedule, easily accomplished once you know how to write the graphing scripts (which are then scheduled using cron or a similar facility). One small caveat: To prepare your data for presentation, I think it's usually necessary to partner R with another language that's better for text extracting and manipulation. I prefer Python for this task, you might like another language. Read More...

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