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Preparing Data For Statistical Analysis and Reporting
Robert
7/24/2007 9:10:00 PM
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:
http://directory.fsf.org/...
including:
Vilno
DAP
PSPP
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
SELECT, SAS, and SPSS.
For statistics itself, I am rather curious about Apophenia
( apparently a C library for statistics that can be called by any
statistics package).
Robert
1 Answer
M. Edward (Ed) Borasky
7/25/2007 1:51:00 AM
0
Robert wrote:
> 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:
>
>
http://directory.fsf.org/...
>
> including:
>
> Vilno
> DAP
> PSPP
>
> 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
> SELECT, SAS, and SPSS.
>
> For statistics itself, I am rather curious about Apophenia
> ( apparently a C library for statistics that can be called by any
> statistics package).
>
>
>
> 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
expensive.
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