Data Visualization using Perl/Tk
Idean writes "Generating a visual representation is often the best way to understand large data sets, but standard tools such as gnuplot often fall short. This article shows how to use Perl/Tk, the standard GUI toolkit for Perl, to quickly build custom plotting and graphing tools."
And how did your control group do?
What language was Perl compared to using this methodology?
Did the test subjects have experience with Perl? And, what of the control group?
Perl is different, no doubt about it. But, it doesn't *have* to look like line noise.
--Phillip
Can you say BIRTH TAX
My God, it's Full of Source!
OUTSIDE_IP=$(dig +short my.ip @outsideip.net)
"and I don't see how Perl could help, as numerical processing is certainly not its strength!"
Have you explored PDL (piddle)? I find it to be a very powerful way to manipulated datasets.
Spencer Ogden
From their web site: "GNU Octave is a high-level language, primarily intended for numerical computations. It provides a convenient command line interface for solving linear and nonlinear problems numerically, and for performing other numerical experiments using a language that is mostly compatible with Matlab. It may also be used as a batch-oriented language."
Power corrupts. PowerPoint corrupts absolutely. E. Tufte
Examples of complicated graphs include specialized bar-and-whiskers plots
I had to cope with box-and-whisker plots to visualize data gathered from a statistical survey. Frankly, Perl/Tk was nothing I looked into (and I love Perl & Tk!). I entered the data into an OpenOffice spreadsheet (which made the statistical calculation very easy!) and googled for a solution. There are many commercial packages available for Excel, but this article was really helpful. I managed to create a similar solution for OO (I'm not sure if the result is of interest to anyone - if so, msg me or something).
Does anyone know a repository for statistical analysis programs? Because if you only need to run an analysis once, you think twice about hacking a Perl/Tk program (the 'clean' approach) unless you are a true Perl wiz - the time needed to write the program is (with my programming abilites) two or three times longer than looking for another one shot solution (the 'practical' approach).
If there was a central repository for this, you a) knew where to look first and b) had an incentive to write the program to save someone else the time. Yes, I know I could put it up to some website, but I really doubt anyone would find it or even look for it...
My cats ate my karma. They also wrote this comment.
If you want statistically sound data analysis and graphing, look no further than the R Project. It's a complete programming environment and is extensively used by working statisticians.
Python, Numerical Python, various Python plot packages, and VTK also make for very powerful visualizations if you want something more do-it-yourself.