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Outliers
Upload a dataset to begin
Supported formats: .csv,.xlsx,.xls,.xlsm,.xlsb,.tsv
AboutOutliers
Find data points that don't fit the pattern (Z-Score).Category: AI & Machine LearningSpotting fraudulent transactions with abnormal amountsFlagging sensor readings that indicate equipment malfunctionFinding data-entry errors like a typo'd extra zero in a price column
The Outliers tool is compatible with:.Run Outliers first to see which rows are flagged and why, then hand the same column to Outlier Management once you've decided whether to cap, remove, or keep those values.This is a pure detection tool: it computes the mean and standard deviation of a numeric column, then calculates a Z-score for every value to measure how many standard deviations it sits from the average. Values beyond your chosen threshold (commonly ±2 or ±3) get flagged as statistical anomalies, but nothing in your data is changed, capped, or removed. It's the diagnostic step, use it to inspect and understand which rows are unusual before deciding what to do about them.
Frequently Asked Questions:
How does it decide what's an outlier?
It uses Z-score, flagging values that fall an unusual number of standard deviations from the mean.
Does it remove outliers automatically?
No, this tool identifies them, use Outlier Management if you want to cap, remove, or flag them in your data.
A first-pass diagnostic for analysts and QA teams auditing a dataset before deeper modeling or reporting.