Comments on: Ubiquitous Analytics and Tableau Public http://redmonk.com/sogrady/2010/02/03/tableau-public/ because technology is just another ecosystem Wed, 25 Jan 2012 16:19:42 +0000 hourly 1 http://wordpress.org/?v=3.3.1 By: Tableau Breaks Out With Advanced Visualization « Merv's Market Strategies for IT Suppliers http://redmonk.com/sogrady/2010/02/03/tableau-public/comment-page-1/#comment-609220 Tableau Breaks Out With Advanced Visualization « Merv's Market Strategies for IT Suppliers Tue, 06 Apr 2010 15:10:34 +0000 http://redmonk.com/sogrady/?p=3397#comment-609220 [...] Sean O’Grady, who got an early look, published a well-illustrated appreciation of the product here. Press coverage of the new offering has been very broad – Tableau has now established itself [...] [...] Sean O’Grady, who got an early look, published a well-illustrated appreciation of the product here. Press coverage of the new offering has been very broad – Tableau has now established itself [...]

]]> By: sogrady http://redmonk.com/sogrady/2010/02/03/tableau-public/comment-page-1/#comment-591405 sogrady Thu, 11 Feb 2010 15:59:08 +0000 http://redmonk.com/sogrady/?p=3397#comment-591405 @Donnie Berkholz: i'll give those a look. are you using R at all for your analysis? @Donnie Berkholz: i’ll give those a look. are you using R at all for your analysis?

]]> By: Donnie Berkholz http://redmonk.com/sogrady/2010/02/03/tableau-public/comment-page-1/#comment-590942 Donnie Berkholz Mon, 08 Feb 2010 04:03:47 +0000 http://redmonk.com/sogrady/?p=3397#comment-590942 As a scientist, I spend a huge amount of time thinking about the best way to present my data, so I've got a fair bit of experience working with all sorts of visualization tools and techniques. There are tons of open-source data visualization tools worth checking out. Here are a few: Veusz, QtiPlot, and Mayavi. If you're interested in machine learning, check out Orange or Weka. Personally, I tend to use command-line-oriented programs such as gnuplot, since I require absolute flexibility for publication-quality images. As a scientist, I spend a huge amount of time thinking about the best way to present my data, so I’ve got a fair bit of experience working with all sorts of visualization tools and techniques.

There are tons of open-source data visualization tools worth checking out. Here are a few: Veusz, QtiPlot, and Mayavi. If you’re interested in machine learning, check out Orange or Weka. Personally, I tend to use command-line-oriented programs such as gnuplot, since I require absolute flexibility for publication-quality images.

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