H-in-Q

Crosstab Builder

Cross-tabulation with significance testing, for survey data

Your data stays in your browser

How this works

A banner is the set of variables you put in the columns β€” typically gender, age group, or region. Every other variable in your file is then tabulated against it, one table per variable.

Each banner column gets a letter. When a figure is significantly higher than another column in the same banner variable, the letters of the columns it beats appear next to it. So 27.1% B means this column is significantly higher than column B.

Columns are only ever compared within the same banner variable. Comparing “Men” to “25–34” would be meaningless β€” the two groups overlap, and the test assumes they don’t.

Proportions use a two-tailed z-test with pooled variance; means use Welch’s t-test. Columns with a base under 30 are not tested; under 100 they are flagged as fragile.

As is standard in banner books, no multiple-comparison correction is applied β€” across many tables and columns, a few significant letters will appear by chance alone. Treat isolated letters as leads, not proof.

Nothing is uploaded. The file is read and all calculations run inside your browser β€” close the tab and the data is gone.

1

Load your data

CSV, XLSX or XLS β€” one row per respondent

Drop your data file here

or click to browse β€” CSV, XLSX, XLS

2

Check variables and labels

Types are detected automatically β€” correct anything that looks wrong

3

Build the banner

Pick 1 to 5 variables for the columns

Confidence level i

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