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Picalo

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Picalo

http://warp.byu.edu/Picalo
Picalo Data Analysis Software is an application that helps data analysts, fraud investigators, and auditors search through data sets for anomalies, trends, and other information. Picalo is an open framework. Users can either use the built-in routines or write their own. Those who write their own can share their routines with others in the Picalo community. The goal is to create a large set of analysis routines that meet many different needs--on a scale that a single company could never do. The philosophy of Picalo is to bridge the gap between technically-oriented analysts and non-technical analysts. Data analysts who know basic scripting routines (for loops, for example), are more efficient and effective than those who do not--usually by several orders of magnitude. Picalo allows those who are technical to quickly write wizard-based analyses that others in an organization can use. See the user manual for more information about the plugin Detectlet architecture. Picalo includes advanced analysis routines not found in competing products. For example, it supports grouping by a number of days for analysis of labor and time card data. Picalo can also automatically group records to achieve a specified degree of smoothness in data. Picalo's language is based in Python, a powerful and easy-to-learn language. Rather than creating its own language (like competing packages do), Picalo rises on the shoulders of an extremely well-done language. You can download any of thousands of Python libraries from the Internet to use in your analyses.

Documentation

Installation adn User documentation included and for download at http://warp.byu.edu/Picalo?action=AttachFile&do=get&target=PicaloManualV2.pdf


Download

Download External-link-icon.png version 2.15 (stable)
released on 10 November 2005

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Licensing

LicenseVerified byVerified onNotes
GPLv2Ted Teah11 November 2005



Leaders and contributors

Contact(s)Role
"Email conan_albrecht@byu.edu" Conan Albrecht Maintainer


Resources and communication

Audience Resource type URI
Bug Tracking,Developer,Help,Support E-mail mailto:conan_albrecht@byu.edu


Software prerequisites

Kind Description
Required to use wxPython
Required to use pstat.py
Required to use mxDateTime

This entry (in part or in whole) was last reviewed on 11 November 2005.



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Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the page “GNU Free Documentation License”.

The copyright and license notices on this page only apply to the text on this page. Any software or copyright-licenses or other similar notices described in this text has its own copyright notice and license, which can usually be found in the distribution or license text itself.


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