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Free analyses run on up to 10,000 rows. Larger files are randomly sampled to that size — sign up to analyze your full dataset.
Running missing data audit analysis...
Sent to — interactive charts, statistical results, R code, and AI insights.
Analyze another fileStandard-library analysis: how bad is your missing data, and does it bias your results? Map the columns you care about and get the per-column missing rates, the pattern analysis (which columns go missing together, which is where the mechanism shows itself), a co-missingness map, how many rows survive listwise deletion, Little's MCAR test computed directly, per-column tests of whether missingness on one column is associated with the values of another — and then the impact half: the same means and correlations recomputed under complete-case deletion, available-case, mean imputation, and regression imputation, so you can see how far the answer moves when you change the handling rule.
Interactive bar visualization
Interactive table visualization
Interactive heatmap visualization
Interactive table visualization
Interactive table visualization
Interactive table visualization
Interactive grouped_bar visualization
Plain-English interpretation — what the numbers mean, what's significant, and what to do next.
Decide whether the missing data in a file is bad enough to change a conclusion
See our FAQ for details on pricing, data privacy, and how the analysis works. Every report includes a Methodology section showing the statistical test, assumptions checked, and diagnostics run.
Run any analysis on your own data — validated R analyses, interactive reports, AI insights, and PDF export.
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