Things I haven't used
gnuplot
http://zimg.sourceforge.net/

If you want to script image generation and park them in a web page,
these two will probably get you where you want to go.

On Sat, Mar 26, 2011 at 3:48 PM, Lance Norskog <goks...@gmail.com> wrote:
> If you are coming at this with no data analysis background, there is
> nothing easier than KNime:
> www.knime.org
>
> It is visual programming tool for stringing together numerical
> processing tools. KNime.com sells chemistry and various bio analysis
> tools for it. It also has full Weka integration. It has the same
> problem as all visual programming environments: screen eating. But it
> does have a sub-graph templating tool that somewhat mitigates this.
>
> Processing is parallel. I set up three different benchmark reporting
> servlets on the same running Solr instance, read all three
> simulaneously, and cross-correlated the numbers. This took a couple of
> hours on the servlets and maybe 5 minutes in KNime.
>
> A testimonial, dear friends.
>
> On Sat, Mar 26, 2011 at 1:20 PM, Ted Dunning <ted.dunn...@gmail.com> wrote:
>> I use R exclusively for this kind of task.  The only commercial shop using
>> Mahout in anger that I have been strongly connect with also uses R for this.
>>
>>
>> Wheels.
>>
>> Reinvention.
>>
>> And so on.
>>
>> On Sat, Mar 26, 2011 at 11:59 AM, Dan Brickley <dan...@danbri.org> wrote:
>>
>>> I started toying with [learning] R for this, but before digging further --
>>> am I retreating known ground? Are there any scripts shared already? (I
>>> didn't manage to find much by searching). Does it make sense to have shared
>>> utilities for poking around inside a FileDataModel?
>>>
>>> Thanks for suggestions, pointers etc
>>>
>>> cheers,
>>>
>>> Dan
>>>
>>> ps. started learning R ->
>>>
>>> > ratings <- read.csv('2010ratingtests-datamodel.csv', sep=',')
>>> > names(ratings) <-c("userid","itemid","pref")
>>> > summary(ratings$pref)
>>>   Min. 1st Qu.  Median    Mean 3rd Qu.    Max.
>>>  1.000   7.000   8.000   8.022  10.000  10.000
>>> > library(lattice)
>>> > histogram(ratings$pref)
>>>
>>
>
>
>
> --
> Lance Norskog
> goks...@gmail.com
>



-- 
Lance Norskog
goks...@gmail.com

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