ds@mcpanalytics.aiA data scientist you can email your data and question to, and get a reliable response. Not AI slop.A data scientist you can email. Not AI slop.
Upload your data and get a complete normality & outlier screening report. Free.
Free analyses run on up to 10,000 rows. Larger files are randomly sampled to that size, so sign up to analyze your full dataset.
Running normality & outlier screening analysis...
Sent to . Inside: interactive charts, statistical results, R code, and AI insights.
Analyze another fileThe practical guide behind this tool: when it applies, how to read the output, and the traps that make it say the wrong thing.
Standard-library analysis: before you run a t-test, ANOVA, or regression, check whether each numeric column is fit for those methods. For every column it reports the mean, median, spread, skewness and kurtosis, runs the Shapiro-Wilk normality test, counts outliers with the 1.5 and 3 times IQR rules plus a Grubbs test on the single most extreme value, and gives a clear parametric-versus-nonparametric recommendation. Works on any dataset: map the numeric columns you plan to test.
Interactive table visualization
Interactive table visualization
Interactive bar visualization
Plain-English interpretation of what the numbers mean, what's significant, and what to do next.
Check whether a column is normal enough for a t-test or ANOVA
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: R analyses, interactive reports, AI insights, and PDF export.
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CympleData Scientist Send me your data and question, I’ll send you the analytics. ds@mcpanalytics.ai
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