Data Converter
Convert statistical data formats
Open toolTHE DATASTATPRO TOOL DIRECTORY
Your research question. The right analysis. Explore tools for t-tests, ANOVA, regression, sample size, and more, all in your browser.
QUICK START
EXPLORE BY METHOD
Search a method, calculator, or research task. Every tool links directly to its workspace.
Import, clean, transform, and organize datasets before analysis.
Convert statistical data formats
Open toolView and edit your datasets
Open toolExport your processed data
Open toolFilter and subset your data
Open toolImport data from various sources
Open toolApply transformations to your data
Open toolManage your imported datasets
Open toolLoad ready-to-use datasets for learning and demonstrations
Open toolCollect structured survey datasets
Open toolEdit variable properties
Open toolSummarize distributions, frequencies, central tendency, and variability.
Analyze relationships and associations between two or more categorical variables
Open toolCalculate measures of central tendency, variability, and distribution shape for quantitative data
Open toolGenerate frequency distributions and percentage tables for categorical and discrete data
Open toolAnalyze multi-select questions where each case may choose more than one response
Open toolTest whether data follows a normal distribution using multiple statistical tests
Open toolCompare groups with t-tests, ANOVA, chi-square, and non-parametric tests.
Compare means while controlling for a covariate
Open toolTest association between categorical variables
Open toolPlan and analyze experiments to optimize process parameters
Open toolNon-parametric alternative to Repeated Measures ANOVA
Open toolCompare means of two independent groups
Open toolNon-parametric alternative to One-Way ANOVA
Open toolNon-parametric alternative to Independent T-Test
Open toolCompare one sample mean to a hypothesized value
Open toolCompare means of three or more independent groups
Open toolCompare means of two related samples
Open toolCompare means of three or more related samples
Open toolExamine effects of two factors on a dependent variable
Open toolNon-parametric alternative to Paired T-Test
Open toolMeasure associations and fit linear, logistic, and other regression models.
Calculate and visualize correlations between variables
Open toolModel the linear relationship between variables
Open toolModel the relationship with a binary outcome
Open toolAnalyze data points collected or recorded at specific time intervals
Open toolExplore factor analysis, SEM, multilevel models, survival, and meta-analysis.
Group similar data points into clusters
Open toolTest a hypothesized factor structure
Open toolScreen candidates and assess changes in exposure estimates
Open toolCausal inference for policy and intervention evaluation
Open toolAnalyze categorical or count outcomes
Open toolIdentify underlying factors in a set of variables
Open toolAnalyze data using generalized linear models
Open toolTest the added value of theory-defined predictor blocks
Open toolMultivariate analysis of variance for multiple dependent variables
Open toolAnalyze indirect and conditional effects
Open toolSynthesize findings from multiple studies
Open toolChoose a defensible evidence-synthesis specification
Open toolConvert reported statistics into meta-analysis effect-size formats
Open toolAnalyze hierarchical and nested data structures
Open toolAnalyze multiple outcomes simultaneously
Open toolPredict outcomes with many correlated predictors
Open toolAssess the consistency of measurements
Open toolAssess validity and risk of bias in studies
Open toolStatistical Process Control and Quality Management
Open toolTest complex theoretical models with structural paths
Open toolAnalyze time-to-event data
Open toolCreate hierarchical tree visualizations of variable relationships
Open toolAnalyze trends, seasonality, stationarity, ARIMA models, and forecasts.
Comprehensive ARIMA, SARIMA, SARIMAX, and AutoARIMA modeling
Open toolDetect unknown breaks and dominant periodic cycles
Open toolGenerate forecasts using statistical methods
Open toolComprehensive time series analysis with multiple tools
Open toolEstimate intervention level and trend changes
Open toolDecompose time series into components
Open toolTest for stationarity using ADF, KPSS, and PP tests
Open toolDetect and analyze trends in time series data
Open toolEstimate sample size for supported study designs and research questions.
Calculate sample size for complex study designs
Open toolCalculate sample size for comparing multiple groups (ANOVA)
Open toolCalculate sample size for a single group
Open toolCalculate sample size for paired or matched data
Open toolCalculate sample size for comparing two groups
Open toolCalculate confidence intervals for means, proportions, differences, and more.
Confidence interval for correlation coefficient
Open toolConfidence intervals for diagnostic test accuracy
Open toolConfidence interval for difference between two means
Open toolConfidence interval for difference between two proportions
Open toolConfidence intervals for regression parameters
Open toolConfidence intervals for logistic regression parameters
Open toolConfidence interval for paired mean differences
Open toolConfidence interval for ratio of two variances
Open toolConfidence interval for a single population mean
Open toolConfidence interval for a single population proportion
Open toolConfidence intervals for survival analysis
Open toolConfidence interval for population variance
Open toolExplore risks, odds ratios, diagnostic accuracy, and epidemiological measures.
Analyze data from case-control studies
Open toolAnalyze data from cohort studies
Open toolAnalyze data from cross-sectional studies
Open toolAnalyze population demographics and epidemiological measures
Open toolEvaluate diagnostic test performance
Open toolAnalyze data from matched case-control studies
Open toolPerform comprehensive meta-analysis with fixed and random effects pooling
Open toolAnalyze outbreak data and calculate attack rates
Open toolEvaluate screening program effectiveness and cost-effectiveness
Open toolCalculate age-adjusted rates for population comparisons
Open toolPerform comprehensive survival analysis with Kaplan-Meier estimation
Open toolExplore distributions and relationships with charts and statistical plots.
Compare values across categories
Open toolShow distribution and outliers
Open toolCompare opposing category compositions
Open toolDisplay means with uncertainty measures
Open toolVisualize frequency distribution
Open toolVisualize interactions between factors
Open toolShow parts of a whole
Open toolCombine box plot, scatter plot, and density
Open toolVisualize flow relationships
Open toolShow relationship between two variables
Open toolAnalyze product stability over time
Open toolPrepare research tables, effect sizes, figures, methods, and results.
Bayesian hypothesis testing for common statistical designs
Open toolManage references and generate formatted citations
Open toolConvert raw data tables to APA-style format
Open toolComprehensive effect size calculations for publication
Open toolComprehensive guide to interpreting and reporting effect sizes
Open toolComplete figure processing: DPI conversion, format export, and figure combination
Open toolTOST procedure for testing equivalence of means, proportions, and correlations
Open toolCreate professional figure captions for publications
Open toolCONSORT-style participant flow diagrams
Open toolComplete checklist for academic journal submissions
Open toolTest indirect effects with Sobel, Aroian, and Goodman methods
Open toolAdjust p-values for multiple comparisons with 8 correction methods
Open toolPerform multiple comparisons after ANOVA
Open toolStatistical power analysis and sample size determination
Open toolObjective-driven statistical figures with real inferential annotations
Open toolAI-assisted interpretation of regression results
Open toolFormatted tables for regression analysis results
Open toolComprehensive guide to research methodology and study design
Open toolManage and export analysis results
Open toolGenerate publication-ready methods sections
Open toolAI-powered tool to select appropriate statistical tests
Open toolDescriptive statistics table for baseline characteristics
Open toolAlternative descriptive statistics with advanced formatting
Open toolComprehensive descriptive statistics for numerical variables
Open toolComparative statistics and outcome analysis table
Open toolNumeric column variable comparisons
Open toolCorrelation matrix tables with APA formatting
Open toolCreate surveys, collect responses, and connect them to your datasets.
Build surveys, publish links, collect responses, and sync responses into datasets.
Open toolBuild interactive dashboards for operational and research reporting.
Create interactive KPI dashboards from files, cloud datasets, and Google Sheets.
Open toolExplore AI-assisted statistical planning and research reporting workflows.
Compose AI-assisted analysis plans and export publication-ready results.
Open toolTry a broader term, such as regression, ANOVA, chart, or sample size, or clear your filters.
AN ONLINE STATISTICS WORKSPACE
DataStatPro is a browser-based statistical analysis suite with 131 tools across 14 categories. Summarize data, compare groups, explore relationships, model outcomes, plan sample sizes, estimate confidence intervals, and prepare research reports. Start with free Guest Access using sample datasets; access to personal data and advanced features depends on your plan.
START WITH YOUR QUESTION
These starting points help you explore tools. The study design and assumptions determine the final method.
| Your research task | Methods to explore | What to consider |
|---|---|---|
| Summarize a dataset | Descriptive statistics | Use summaries and plots to inspect distributions, missing values, and unusual observations. |
| Compare two means | Independent or paired t-test | Independent groups and paired measurements require different analyses; check design and assumptions. |
| Compare three or more means | ANOVA or a rank-based test | Consider group independence, repeated measurements, variance assumptions, and planned comparisons. |
| Explore categorical associations | Chi-square test | Analyze observed counts in a contingency table; inspect expected counts and independence. |
| Measure a relationship | Pearson or Spearman correlation | Choose based on the measurement scale, relationship shape, outliers, and the research question. |
| Model an outcome | Linear or logistic regression | The outcome type and study design guide model choice; inspect diagnostics and covariates. |
| Plan study size | Sample size and power calculators | Specify the study design, effect or precision target, significance level, and power as appropriate. |
| Analyze time to an event | Kaplan-Meier or Cox regression | Use survival methods when follow-up time and censoring are part of the data. |
BUILT AROUND YOUR WORK
Use descriptive summaries, assumption checks, t-tests, ANOVA, regression, effect sizes, confidence intervals, and publication-ready tables to move from raw data to manuscript-ready results.
Explore tools →Plan studies with sample size calculators, power analysis, diagnostic test calculators, cohort and case-control calculators, odds ratios, relative risks, and survival analysis tools.
Explore tools →Build KPI dashboards, charts, baseline tables, regression tables, APA-style outputs, reports, and shareable summaries for research, healthcare, education, and business analytics.
Explore tools →Run EFA, CFA, SEM, MANOVA, MANCOVA, GLM, mediation, moderation, meta-analysis, multilevel modeling, PLS regression, and time-series workflows from a browser.
Explore tools →A GUIDED WORKFLOW
Search this directory or browse by category. Match the method to the research question, study design, and assumptions.
Use sample data, upload a supported file, or enter values directly where the tool allows. Personal-data access depends on your plan.
Select outcomes, predictors, groups, confidence levels, and analysis settings as required by the tool.
Check diagnostics and interpret estimates with uncertainty. Copy or export supported tables, figures, and reports.
COMMON QUESTIONS
Find answers about methods, calculators, research output, and access.
Visit the knowledge base →DataStatPro includes 131 tools across 14 categories: descriptive statistics, t-tests, ANOVA, chi-square tests, non-parametric tests, correlation, regression, time series, advanced modeling, sample size, epidemiology, confidence intervals, visualization, surveys, dashboards, AI-assisted planning, and publication-ready reporting.
Choose a statistical method from the research question and target estimand first, then consider the outcome type, number and relationship of observations or groups, covariates, clustering or repeated measurements, censoring, missing data, and method-specific assumptions. Variable type and normality alone are insufficient to determine the appropriate analysis.
The Inferential Statistics category includes one-sample, independent-samples, and paired-samples t-tests, one-way ANOVA, two-way ANOVA, repeated-measures ANOVA, and ANCOVA. Choose a tool that matches the study design and check its assumptions before interpreting results.
Correlation measures association between variables. Regression models an outcome in relation to one or more predictors. Neither method establishes causation by itself. DataStatPro lists correlation tools and regression models in the Correlation Analysis category.
Yes. The Sample Size Calculator category contains study-design-specific planning tools, while CI Calculator contains confidence interval tools. Sample size planning and interval estimation answer different questions; select the calculator that matches your design and measure.
The Advanced Analysis category includes tools for factor analysis, structural equation modeling, MANOVA/MANCOVA, multilevel modeling, survival analysis, meta-analysis, and other specialized workflows. Availability for personal datasets depends on the selected plan.
The Publication Ready category includes research tables, regression tables, effect size tools, APA formatting, figure processing, methods text, and results export tools. Publication features for personal research require Pro or Edu Pro.
Free Guest Access lets anyone explore the interface with built-in sample datasets. Free Educational Access with a valid .edu email supports sample and personal datasets within Educational plan limits. Standard has a 15-day free trial with no credit card required. Advanced analysis, AI, dashboards, surveys, storage, and publication features depend on your plan.
DataStatPro supports selected browser-based statistical workflows. Compare the required methods, diagnostics, data formats, and reporting outputs before switching. Product-specific syntax, specialized procedures, and institutional requirements may still call for other software.
KEEP LEARNING
Choose the right statistical test by outcome, predictor, group count, assumptions, and study design.
Review core methods including descriptive statistics, hypothesis testing, regression, and advanced analysis.
Read step-by-step tutorials for DataStatPro analyses, calculators, charts, and publication-ready workflows.
Compare DataStatPro with IBM SPSS for guided online analysis, SAV import, reporting, and cross-device research workflows.
Evaluate an online, no-download SPSS alternative for Mac, MacBook, and cross-device research workflows.
Create manuscript-ready statistical tables, figures, reports, and interpretation text.
Free Guest Access lets everyone teach and learn with built-in sample datasets. Free Educational Access with a valid .edu email includes sample datasets and your own datasets within Educational plan limits. Standard includes a 15-day free trial with no credit card required, then costs USD 39 per year. Pro provides full feature access for USD 89 per year; Edu Pro provides the same features for USD 49 per year with a valid .edu email, saving USD 40 per year (approximately 45%). View free access and trial details.
Get free practice datasets and teaching exercises
Use the DataStatPro software citation in your chosen style. Confirm the version matches the software used for your analysis.
Paste into the HTML editor of your course site, or use the page link in an LMS link activity. The card loads no scripts and shares no student data.