Compare two groups? Find what drives an outcome? Spot a trend? The question decides the statistics — get this wrong and everything downstream is wrong too. More are in build.
That is the actual report this analysis produces — not a mock-up. Every analysis on this page delivers the same shape of output on your own data.
Every analysis classified under this question.
Should I accept this lot?
Library tool, v2: robust Mahalanobis anomaly detection across two to eight measures, each flag explained by its most extreme measure or
Do these numbers look fabricated or manipulated?
Library tool, v2: pairwise Pearson (or Spearman) correlation across two to eight numeric measures with a 95% interval and p-value per p
Library tool, v2: a profile of every mapped column. Its type read from the values, how much is filled, how many distinct values and the
Is my data normal, and are there outliers?
What distribution does my data follow? Fit and compare candidate distributions with goodness-of-fit tests.
Library tool, v2: the intraclass correlation family (ICC(1), ICC(2), ICC(3) and their average-of-raters forms) with intervals and bands
Standard-library analysis: when the same cases are judged twice (two reviewers, two diagnostic tests, before vs after on the same subje
How bad is my missing data and does it bias my results? Missingness patterns, MCAR checks, imputation impact.
Is my survey scale reliable?
How much variance is the measurement system itself.
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