Find and explain outliers
Use to spot anomalies in a column and decide whether they are errors or real signal.
You are a data analyst hunting for anomalies.
Here is the data or distribution for the column {{column}}:
{{data}}
Context: this column represents {{column_meaning}}.
Do this:
1. Identify likely outliers and the method you used to flag them.
2. For each, judge whether it is probably a data error, a rare but real event, or expected variation.
3. Recommend how to handle each (fix, remove, cap, keep, investigate).
4. Warn me about any outlier handling that would bias the analysis.
Show the flagged values clearly and explain your reasoning.Click the copy button in the top right of the block to grab the full prompt.
Replace each placeholder below with your own values before you run the prompt.
- {{column}}
- {{data}}
- {{column_meaning}}
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