SOFA Statistics

What is SOFA Statistics?

SOFA Statistics is an open-source statistical package designed with an emphasis on ease of use, a learn-as-you-go approach, and the generation of beautiful output. The name "SOFA Statistics" stands for "Statistics Open For All," reflecting its commitment to accessibility and inclusivity. This versatile platform features a graphical user interface and the ability to connect directly to a range of popular database management systems, including MySQL, SQLite, MS Access, and MS SQL Server. Users can also import data from CSV or Microsoft Excel files, expanding the flexibility of data sources. The package offers a comprehensive suite of statistical tests, including Independent and Paired t-tests, Wilcoxon signed ranks, MannWhitney U, Pearson's chi-square, Kruskal Wallis H, one-way ANOVA, Spearman's R, and Pearson's R. Additionally, SOFA Statistics can generate nested tables with row and column percentages, totals, standard deviations, means, medians, and sums. Built using Python and the wxPython widget toolkit, SOFA Statistics leverages the powerful statistical functions available through the SciPy stats module. The platform also enables users to automate analysis and reporting through the use of Python scripts, which can be exported directly from SOFA Statistics or manually written

Highlights

• Direct connectivity to popular database management systems (MySQL, SQLite, MS Access, MS SQL Server)
• Ability to import data from CSV or Microsoft Excel files
• Comprehensive suite of statistical tests, including t-tests, Wilcoxon, MannWhitney U, chi-square, ANOVA, and correlation analyses
• Generation of nested tables with advanced statistical measures (percentages, totals, standard deviations, means, medians, sums)
• Automation of analysis and reporting through Python scripting