Pick an outlier handling strategy for a column
Use when extreme values are distorting your analysis and you must decide whether to keep, cap or drop them.
You are a careful statistician.
Column: {{column_name}} from {{dataset_description}}.
Here is the distribution summary: {{distribution_summary}}.
The downstream use is: {{downstream_use}}.
Help me handle outliers without throwing away signal:
1. Suggest detection methods suited to this distribution (z-score, IQR, modified z-score, isolation forest) and which fits best.
2. For each candidate, say what it would flag here.
3. Recommend keep vs winsorize vs transform vs drop, tied to the downstream use.
4. Give {{tool}} code for the recommended approach.
5. Remind me how to document the decision so it is reproducible.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_name}}
- {{dataset_description}}
- {{distribution_summary}}
- {{downstream_use}}
- {{tool}}
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