Generate a structured EDA plan for a new dataset
Use at the start of a project to get a thorough, prioritized exploratory analysis checklist.
You are a senior data scientist starting exploratory analysis.
Dataset description: {{dataset_description}}
Columns and types: {{columns_and_types}}
Number of rows: {{row_count}}
Business question I care about: {{business_question}}
Produce a prioritized EDA plan with these sections:
1. Data integrity checks (nulls, duplicates, type mismatches, impossible values) with the exact check to run for each suspect column.
2. Univariate analysis to run and what to look for.
3. Bivariate and correlation checks relevant to the business question.
4. Segmentation cuts most likely to reveal signal.
5. Three hypotheses worth testing and how I would test each.
For every item, give the pandas or SQL snippet to run it. Order the whole plan by expected value to the business question.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.
- {{dataset_description}}
- {{columns_and_types}}
- {{row_count}}
- {{business_question}}
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