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PYTHON-FOR-DATA-ANALYSIS5 MIN READ

Question Before Code

Frame a Python data-analysis request as a business question, data requirement, and evaluation test before writing code.

Do not let the first cell become the strategy. Business understanding Name the decision, the stakeholder, and the consequence of being wrong. A Python notebook that does not know the decision will drift toward whatever is easiest to compute. Data understanding Inspect grain, freshness, missingness, keys, and definitions before summarizing. This is where you discover whether customer_id means account, contact, billing entity, or product workspace. Preparation and analysis Clean and transform only in ways that support the decision. Every filter, join, derived column, or aggregation should be traceable to the question. Evaluation and deployment Before sharing, ask whether the answer…

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