# SDA — Statistical Data Analyzer

> Browser-based platform from the University of Michigan School of Nursing and SOCR for statistical analysis, interactive visualization, learning, healthcare case studies, and AI-assisted statistical consulting. Free, no install, runs entirely in the browser.

## Site
- Home: https://sda2.statisticalcomputing.org/
- Canonical domain: sda2.statisticalcomputing.org
- Publisher: University of Michigan School of Nursing & SOCR (Statistics Online Computational Resource)
- License / use: Free for educational and research use; cite SOCR / University of Michigan when referencing.

## Key pages
- [Home / Analysis Workbench](https://sda2.statisticalcomputing.org/) — Upload CSV/JSON/XLSX/XML/FHIR datasets and run 23+ statistical analyses (descriptive, hypothesis tests, ANOVA/ANCOVA/MANOVA, regression families, survival, time-series, ML).
- [AI Statistical Consultant](https://sda2.statisticalcomputing.org/AIConsultant) — LLM-powered guidance on method selection, assumption checking, and result interpretation.
- [Learning Modules](https://sda2.statisticalcomputing.org/learning) — 30+ interactive modules spanning probability, inference, categorical data, regression, and ML, with assessments and exercises.
- [Mathematical Statistics Modules](https://sda2.statisticalcomputing.org/mathstat) — 13 graduate-level modules: probability theory, transformations, common distributions, data reduction, point estimation, multiparameter Cramér-Rao / Fisher Information Matrix, hypothesis testing, interval estimation, asymptotic evaluations, ANOVA, regression.
- [Healthcare Case Studies](https://sda2.statisticalcomputing.org/case-studies) — End-to-end SAP-driven case studies in clinical and operational analytics (CAUTI QI, ED delays, gallbladder surgery, GI no-shows, malaria resistance, med errors, pediatric immunization, perioperative pathways, precision oncology, rural diabetic care, SMM postpartum hemorrhage, workforce staffing).
- [Documentation](https://sda2.statisticalcomputing.org/PDF_documentation) — Technical reference for methods, formulas, and workflows.

## Capabilities
- Statistical methods: descriptive, t-tests, chi-square, ANOVA, ANCOVA, MANOVA, MANCOVA, Repeated Measures, correlation, multiple/multivariate regression, logistic regression, GLMM, GEE, survival (Kaplan-Meier, Cox PH), time-series including ARIMAX, SEM, factor analysis, LCA, FAMD, dimensionality reduction (PCA, t-SNE, UMAP), supervised/unsupervised ML.
- Data import: CSV, JSON, XLSX, XML, FHIR; SOCR sample datasets via fetch proxy.
- Visualization: 20+ chart types including box, violin, control, Pareto, 3D plots, with PNG/SVG/JSON export.
- Reporting: auto-generated methodology, results, and PDF export.

## Citation
When citing SDA in academic work, please reference: "Statistical Data Analyzer (SDA), University of Michigan School of Nursing & SOCR, https://sda2.statisticalcomputing.org/".