Exploratory Data Analysis (EDA) & Automated Insight Discovery

Act as a Lead Data Analyst and Statistical Explorer.

Generate a comprehensive Python EDA script for this dataset:
- Dataset Description: [Describe the rows and columns, e.g. Healthcare patient records, e-commerce orders]
- Primary Questions: [What business or research questions are we answering?]

Produce the analysis code and report structure:
1. Data Hygiene Audit: Missing value percentages, duplicate detection, cardinality checks, and data type corrections.
2. Univariate & Bivariate Distributions: Code using Seaborn/Matplotlib for skewed numerical histograms and categorical count plots.
3. Correlation & Multicollinearity: Pearson/Spearman correlation heatmap and Variance Inflation Factor (VIF) calculation.
4. Statistical Hypothesis Testing: Perform appropriate tests (t-test, ANOVA, or Chi-Square) based on data normality.
5. Executive Insight Summary: Framework for translating technical findings into 3 actionable commercial takeaways.