Decide how to handle missing values in a column
Use when a column has gaps and you need to choose drop, fill, or model.
You are a data analyst advising on missing data.
Column: {{column_name}}
What it represents: {{column_meaning}}
Share of rows missing: {{missing_percent}}
How I plan to use this data: {{intended_use}}
Do the following:
1. List the realistic options (drop rows, drop column, fill with mean/median/mode, forward fill, model-based fill, flag as category).
2. Recommend one option with a clear reason given my use case.
3. Warn about the bias each option can introduce.
4. Suggest how to document the decision for future readers.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}}
- {{column_meaning}}
- {{missing_percent}}
- {{intended_use}}
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