DataStatPro FAQ

We prioritize statistical correctness through rigorous testing and validation. Our platform uses industry-standard libraries like jStat, Math.js, and Simple Statistics. Key algorithms are cross-validated against established software like R and Python (SciPy/Statsmodels). We run automated regression tests on every build to ensure accuracy. See our About page for more details on our methodology.

Local datasets are processed within your browser and are not uploaded to DataStatPro servers unless you explicitly use a cloud-enabled feature. Cloud-stored datasets are subject to the safeguards and account controls described in DataStatPro's privacy and security documentation.

Cloud storage is available on plans identified on the Pricing page. When a cloud-enabled feature is used, saved datasets and results are associated with the user's account and handled under the controls described in DataStatPro's privacy and security documentation. Users who do not use cloud features can keep supported analysis data in the browser workflow.

No, for Guest, Standard, and Edu users, your data never leaves your browser. All calculations happen locally on your device. Only Pro users have the option to save data to their secure cloud storage, and this is always an explicit choice. We never access, analyze, or share your data with third parties.

Guest users can explore the full interface with built-in sample datasets and no time limit. Guest Access does not support importing personal data, saving datasets, or data persistence. Choose an eligible Educational Account or paid plan when you need those capabilities.

The Standard account allows you to import your own data (CSV, Excel, etc.) and access the full suite of basic and advanced statistical analysis tools. New users can enjoy a 15-day free trial with full access to all Standard features. After the trial period, the Standard account is available for a low annual subscription of just $39/year, which includes saved analysis history, premium support, and an ad-free experience.

Educational access provides the core analysis features and limits listed on the current Pricing page. Edu Pro adds the Pro capabilities identified there. Because plan features can change, the Pricing page is the canonical source for current access, limits, and eligibility.

Pro users get the complete DataStatPro experience: secure cloud storage for datasets and results, cross-device synchronization, advanced statistical methods (meta-analysis, survival analysis, machine learning), results manager for organizing analyses, priority processing, white-label options for organizations, and dedicated customer success support.

DataStatPro supports multiple data formats: CSV files, Excel (.xlsx, .xls), TSV (tab-separated), and JSON. You can also paste data directly from spreadsheets or enter data manually using our built-in data editor. Large files up to 100MB are supported for most formats.

Export options include: statistical results as PDF reports, data tables as CSV/Excel, charts as PNG/SVG/PDF, complete analysis reports with methodology, APA-formatted results for publications, and raw data with applied transformations. Pro users can also export to cloud storage and share via secure links.

Yes! DataStatPro includes comprehensive data cleaning tools: automatic detection of missing values, outlier identification and handling, data type conversion, duplicate removal, variable recoding and transformation, normality testing and transformations, and data validation checks.

DataStatPro offers comprehensive statistical testing: descriptive statistics, t-tests (one-sample, independent, paired), ANOVA (one-way, two-way, repeated measures), non-parametric tests (Mann-Whitney, Kruskal-Wallis, Wilcoxon), correlation analysis (Pearson, Spearman), regression (linear, logistic, multiple), chi-square tests, and survival analysis. Each test includes assumption checking and effect size calculations.

The AI Assistant helps interpret your statistical results by providing plain-English explanations of findings, suggesting appropriate follow-up analyses, identifying potential issues with your data or methods, and helping write results sections for reports.