Forum: Ruby Preparing Data For Statistical Analysis and Reporting

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273fb4bba7fef37bc5b900912d4e7de6?d=identicon&s=25 Robert (Guest)
on 2007-07-24 23:12
(Received via mailing list)
How much data munging is done by Ruby-ists?

If you need some tools for preparing data for analysis, transforming
data, and cleaning data up, there are some tools to check out at:



DAP is an open-source version of SAS
PSPP is an open-source version of SPSS
Vilno uses it's own language for data transformation, similar to SQL

For statistics itself, I am rather curious about Apophenia
( apparently a C library for statistics that can be called by any
statistics package).

3bb23e7770680ea44a2d79e6d10daaed?d=identicon&s=25 M. Edward (Ed) Borasky (Guest)
on 2007-07-25 03:51
(Received via mailing list)
Robert wrote:
> Robert

Thanks for the pointers! This is actually something I do a lot in my day
job. Most of the data extraction is done in Perl, mostly because Ruby
didn't exist when I wrote most of the code. If there were a couple other
Ruby programmers around, I'd port it to Ruby/Rails/Ruport.

Nearly all of the statistics I do is in R, also an open source project.
There is an R-Ruby bridge called "RSRuby", so that would be another way
to get into this.

Nearly everything I do these days is large enough that I use either SQL
Server or PostgreSQL to manage the datasets. By the end of the year I
expect it will all be in PostgreSQL -- the SQL Server licenses are too
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