Statistics Open For All (SOFA) is a user-friendly, open source statistics, analysis, and reporting package. The goal is flexible input and beautiful output – i.e. lots of databases and spreadsheets supported, and attractive, ready-to-present output.
The software has an emphasis on ease-of-use.
SOFA can connect directly to MySQL, PostgreSQL, SQLite, MS Access, and Microsoft SQL Server.
Features include:
- Helps users make the correct choice of test in a graphical, interactive way. SOFA will supply visual and numerical tests which let the user know if a test is suitable for the data they are working with:
- Tests:
- Row and column percentages, with the ability to nest variables e.g look at Ethnicity and Gender vs
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- Age.
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- Mean.
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- Median.
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- Lower Quartile.
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- Upper Quartile.
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- Standard Deviation.
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- Sum.
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- N items.
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- Min.
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- Max.
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- Range.
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- Pearson’s Chi-Square with Contingency Tables.
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- Independent samples t-test.
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- Paired samples t-test.
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- One-way ANOVA.
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- Mann Whitney U.
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- Wilcoxon Signed Ranks.
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- Kruskal Wallis H.
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- Pearson’s Correlation.
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- Spearman’s Correlation.
- Charting:
- Simple bar charts (freq or means).
- Clustered bar charts (freq or means).
- Pie charts.
- Single and multiple line charts (freq or means).
- Area charts (freq or means).
- Histograms.
- Scatterplots.
- Box and whisker plots.
- Automated reporting – export Python scripts.
- Import data from Excel, Open Office Calc, Gnumeric, CSV, Google Docs Spreadsheets.
- Export data into Excel format.
- Supports the following databases (to import data): MySQL, Microsoft Access, SQLite, PostgreSQL, Microsoft SQL Server.
- Internationalization support.
Website: www.sofastatistics.com
Support: User Guide
Developer: Grant Paton-Simpson
License: GNU Affero GPL v3
SOFA is written in Python. Learn Python with our recommended free books and free tutorials.
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