What is outlier visualization?

< 1 min read

Outlier visualization highlights data points that significantly differ from the rest of the dataset.
It helps identify anomalies, risks, or exceptional performance.
Common visuals include scatter plots, box plots, or conditional formatting in tables.
In one project, I used a scatter plot to detect unusually high discount transactions.
Those outliers helped the finance team investigate potential policy violations.
Highlighting outliers supports risk detection and quality checks.
It prevents misleading averages caused by extreme values.
Outlier visuals enable deeper investigation and better decision-making.

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