James Edward Gray II wrote:
> On Sep 19, 2007, at 9:21 PM, M. Edward (Ed) Borasky wrote:
> 
>> Robert wrote:
>>> How many ruby-ists have to do statistical analysis or data cleaning
>>> prior to analysis?
>>>
>>> Is it not something that is done often by web developers?
>>>
>>> What is the well known software out there for statistical software or
>>> data transformation software? That is open source, or at least free of
>>> charge? I mean besides R, I think I understand what R's strengths and
>>> limitations are.
>>>
>>> There is a number of applications at
>>> http://directory.fsf.org/math/stats/
>>>
>>> but I do not know how mature they are (except for the one I submitted
>>> (vilno)).
>>>
>>> Is there currently a successful project for incredibly user-friendly
>>> open source statistical software, usually using a GUI, to compete with
>>> SAS (JMP)  or SPSS? ( R is more for research statistics, with a tough
>>> learning curve.).
>>>
>>> Appreciate your feedback,
>>>
>>> Robert
>>
>> I do a lot of data cleaning/pre-processing. Most of it is numerical data
>> rather than more "traditional" business data mining like
>> name/address/zip code stuff. My main current modus operandi is
>>
>> 1. Do the data extraction in Perl. I'd use Ruby, but
>>    a) I learned Perl years ago and just learned Ruby about a year ago
>>    b) There are no other Ruby programmers around for backup.
> 
> We're all hurt Ed.  You know how we enjoy those, "Help me extract this
> data with a one-liner posts.  ;)
> 
> James Edward Gray II
> 
Hey, I *started* with "nawk" ;)