# Preparing Data For Statistical Analysis

**URL:** <https://www.ruby-forum.com/t/preparing-data-for-statistical-analysis/110275>\
**Category:** Ruby\
**Created:** [July 24, 2007, 9:07pm UTC](https://www.ruby-forum.com/t/preparing-data-for-statistical-analysis/110275 "2007-07-24T21:07:11Z")\
**Posts on this page:** 1\
**Page:** 1

<div class="post-metadata">

**Author:** ![robert](https://www.ruby-forum.com/letter_avatar_proxy/v4/letter/r/e95f7d/32.png) [@robert](https://www.ruby-forum.com/u/robert)\
**Post date:** [July 24, 2007, 9:07pm UTC](https://www.ruby-forum.com/t/preparing-data-for-statistical-analysis/110275/1 "2007-07-24T21:07:11Z")

</div>

How much data munging do Ruby-ists have to do?

If you need data transformation software for preparing data for  
reporting and analysis, there a few options available at  
[http://directory.fsf.org/math/stats](http://directory.fsf.org/math/stats)

including

Vilno  
DAP  
PSPP

DAP and PSPP are open source implementations of SAS and SPSS.  
Vilno uses a similar statistical programming language, but newer,  
developed 2001-2006.

Also, for statistics itself, this Apophenia statistics C library looks  
interesting.  
Has anyone kicked the tires?

Of course there is R. But R is better at statistical analysis than at  
cleaning data up prior to analysis.

Robert
