Conselhos práticos para análise de dados

Direto do Blog não oficial da Google.

Nesse post do Patrick Riley há uma ótima descrição de uma heurística de como realizar análise de dados de uma maneira um pouco mais sistematizada.

Technical: Ideas and techniques for how to manipulate and examine your data. Process: Recommendations on how you approach your data, what questions to ask, and what things to check. Social: How to work with others and communicate about your data and insights.

Em relação aos desdobramentos dessa heurística ele apresenta os seguintes pontos:

Technical - Look at your distributions - Consider the outliers - Report noise/confidence - Look at examples - Slice your data - Consider practical significance - Check for consistency over time

Process - Separate Validation, Description, and Evaluation - Confirm expt/data collection setup - Check vital signs - Standard first, custom second - Measure twice, or more - Check for reproducibility - Check for consistency with past measurements - Make hypotheses and look for evidence - Exploratory analysis benefits from end to end iteration

Social - Data analysis starts with questions, not data or a technique - Acknowledge and count your filtering - Ratios should have clear numerator and denominators - Educate your consumers - Be both skeptic and champion - Share with peers first, external consumers second - Expect and accept ignorance and mistakes - Closing thoughts