SOFA Statistics

The user-friendly, open-source statistics and analysis package
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SOFA Statistics Ranking & Summary

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  • Rating:
  • License:
  • AGPL
  • Price:
  • FREE
  • Publisher Name:
  • Grant Paton-Simpson
  • Publisher web site:
  • https://launchpad.net/~launchpad-p-s

SOFA Statistics Tags


SOFA Statistics Description

The user-friendly, open-source statistics and analysis package SOFA Statistics is an exciting new statistics application. It is free and focuses on being easy to use. And it will work on your PC or Mac or Linux computer. SOFA won't replace sophisticated statistics systems like R, but there is a good chance it will do what you need and do it well. Here are some key features of "SOFA Statistics": Ongoing Development: · SOFA Statistics is a new project and features are being added on an ongoing basis. Priority areas are being completed first. Where a feature is planned but not yet completed the Planned >> tag will be used. Subscribe to the SOFA blog Subscribe to SOFA news by rss to keep up-to-date. Database Friendly: · Many statistics programs make you import data from a database before you can use it. Not SOFA. You can connect directly to your database, and all its tables. Just give SOFA the login details. You can even edit data from within SOFA. SOFA currently supports MySQL, Microsoft Access, and SQLite. Planned >> MS SQL Server, Postgresql, Oracle will also be supported. · What if your project has data in more than one database? No problem. SOFA lets you work with any tables wherever they may be and whichever (supported) database type they are stored in. Spreadsheet Friendly: · SOFA tabular output is already in a form that can be directly opened in MS Excel or pasted into OpenOffice Calc. · Planned >> If your data is in a spreadsheet, SOFA will help you import it into its built-in SQLite database. Output You Can Share Easily: · Tabular output is in HTML, which means you can put it directly on your intranet or website, or put it in a spreadsheet. · Planned >> SOFA will have attractive, high quality charts that can be resized without becoming grainy. Beauty - Attractive Output: · Beautiful output is a feature, even in a statistics/analysis program! It means that SOFA output can be used for presentations or automated reporting without manual formatting or reworking. Many statistical programs do not place much emphasis on aesthetics. Main Tests and Measures Made Easy: · Most analysis uses a small subset of all available statistical options. The goal of SOFA Statistics is to make this subset as easy to use as possible. SOFA will make it easy to conduct and report on the use of: · Row and column percentages, with the ability to nest variables e.g look at Ethnicity and Gender vs Age · Mean · Median · Standard Deviation · Sum · N items · Planned >> Chi-square · Planned >> t-test · Planned >> ANOVA · Planned >> Mann Whitney U · Planned >> Wilcoxon Signed Ranks · Planned >> Kruskal Wallis H · Planned >> Pearsons Correlation · Planned >> Spearmans Correlation · Planned >> SOFA will allow plugin extensions to add extra tests. Learn As You Go: · A central goal of SOFA Statistics is to make Statistics Open For All. Secondary school students, for example, should be able to use SOFA to learn more about statistics. And other users will also benefit from the educational orientation of the program. · Planned >> SOFA will try to expose its workings as much as possible and help users make the correct choice of test. · When making tables, SOFA lets users see the impact of configuration changes in a demonstration table before running the actual analysis. Automated Reporting: · SOFA lets users export Python scripts for use in their own simple (or complex) reporting programs. Imagine running a detailed monthly report for management with a single script. Python was originally designed with beginner programmers in mind and has a gentle learning curve. Novices can become productive very soon. Requirements: · Python What's New in This Release: · Can now apply filtering to data tables. If you're only interested in data for one nation, for example, you can add a filter so reports are derived from that nation’s subset of the data. It is now easy to add, remove, and alter filters to individual tables. · Now able to set data entry preferences for dates, e.g. if you wish to use US-style mm/dd/yy date formats for data entry instead of dd/mm/yy. · New layout of main menu form to accommodate preferences button and put Exit button on bottom right as is standard elsewhere. · Default data table now has a datetime field to experiment with. · More tooltips and misc usability improvements.


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