Data visualization tools for LinuxA short list of visualization tools In this article, I provide a survey of a number of popular Linux data visualization tools and include some insight into their other capabilities. For example, does the tool provide a language for numerical computation? Is the tool interactive or does it operate solely in batch mode? The open source tools that I explore in this article are (with their associated licenses): Gnuplot (Gnuplot Copyright, non GPL)GNU Octave (GPL)Scilab (Scilab)MayaVi (BSD)Maxima (GPL)OpenDX (IBM Public License) Gnuplot Gnuplot is a great visualization tool that has been around since 1986. Gnuplot is portable, operating on UNIX®, Microsoft® Windows®, Mac OS® X and many other platforms. Gnuplot can operate in batch mode, providing a script of commands to generate a plot, and also in interactive mode, which allows you to try out its features to see the effect they have on your plot. A standard math library is also available with gnuplot that corresponds to the UNIX math library.
Visual Literacy: An E-Learning Tutorial on Visualization for Communication, Engineering and BusinessVisual Cards for Collaboration and Team Creativity Making the Complex Clear Visual Literacy for Managers - How Sketching enables Visual Problem Solving and Communication (get the hardcopy edition at sketchingatwork.com) By clicking on a map or diagram thumbnail below, you can access an interactive graphic overview on tools, books, researchers in different visualization fields, as well as on key success factors of visualization. There is also an interactive organizing table that shows (incl. examples) one hundred visualization-based methods. Stairs to visual excellence "Towards A Periodic Table of Visualization Methods for Management"Lengler R., Eppler M. (2007). Version 1.5 of the periodic table as PDF Chris Wallace has implemented an XML page on which you can see and print the mouseover pictures individually. August 21st 2008 marks the 61st birthday of the great Ben Shneiderman, for many the father of information visualization. Imperfect Storm (Click on image to enlarge)
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