Analysis without the guesswork
From spreadsheet to statistical insight.
Slide 1 of 3: From spreadsheet to statistical insight.
From spreadsheet to statistical insight
Statif reads your file, profiles every variable, runs the tests your design supports and returns tables, charts and an interpretation you can defend. Before you upload anything, here is what the platform is for.
Best for
Upload your dataset
XLSX or CSV, up to 50 MB, 200 columns and 50,000 rows. Statif parses the sheet server-side, stores it privately and profiles every column before anything is computed.
- One header row, one variable per column
- Consistent units and codes per column
- Blank cells left blank, not zero-filled
The analysis workspace
Six steps, no scripting, a full audit trail from raw file to final figure.
Upload
XLSX or CSV up to 50 MB, 200 columns and 50,000 rows, stored privately against your account.
Analysis workspace
Review the parsed sheet, column roles and quality audit in one place.
Data selection
Choose outcome and grouping variables, or let automatic mode plan the battery.
Charts & results
Deterministic figures rendered next to the statistic, df, p and CI.
Statistical summary
Plain-English interpretation, assumptions met or violated, effect size.
Download analysis
Export the whole job in four formats, with citations attached.
Download analysis
Every finished job offers five export formats. Tables keep their labels, figures keep their scales and each test carries the reference it was computed from.
Go to my analysesAvailable export formats
Exports are generated from a completed analysis in your workspace.
Authoritative test library
32 implemented methods across 9 categories, each with its requirements, reported quantities and source.
AssumptionsBartlett's test
Purpose: Equality of variances assuming normal data.
Use when: Numeric outcome, grouping column, normal residuals.
Reports: Chi-square, df, p.
Published source: Bartlett, M. S. (1937). Proc. R. Soc. A, 160, 268–282.
ModelsBinary logistic regression
Purpose: Model a binary outcome from one or more predictors.
Use when: Binary outcome and one or more numeric predictors.
Reports: Coefficients, SE, z, p, odds ratios with 95% CI, McFadden and Nagelkerke R², AIC, likelihood-ratio test, accuracy.
Published source: Hosmer, D. W., Lemeshow, S. & Sturdivant, R. X. (2013). Applied Logistic Regression (3rd ed.). Wiley.
CategoricalChi-square goodness of fit
Purpose: Compare observed category counts against expected proportions.
Use when: One categorical column.
Reports: Chi-square, df, p, expected counts.
Published source: Pearson, K. (1900). Phil. Mag., 50, 157–175.
CategoricalChi-square test of independence
Purpose: Test association between two categorical variables.
Use when: Two categorical columns; expected counts ≥ 5 preferred.
Reports: Chi-square, df, p, expected counts, Cramér's V, phi.
Published source: Pearson, K. (1900). Phil. Mag., 50, 157–175.
CategoricalCochran's Q test
Purpose: Compare three or more matched binary measurements.
Use when: Three or more paired binary columns.
Reports: Q, df, p.
Published source: Cochran, W. G. (1950). Biometrika, 37, 256–266.
Reliability & agreementCohen's kappa
Purpose: Agreement between two raters on categorical judgements.
Use when: Two categorical columns with the same levels.
Reports: Kappa with 95% CI, observed and expected agreement.
Published source: Cohen, J. (1960). Educational and Psychological Measurement, 20, 37–46.
Deterministic chart library
Figures are drawn from the same computed values as the tables — no smoothing, no resampling, no decorative estimates.
Hire a Professional
Interpretation, study design or reviewer pushback? Every listed statistician is checked by the Statif team before they can take work, and messaging, files and scheduling stay on-platform.
Ready to get your stats?
Create an account, upload a file and review the full analysis in your workspace.