Data Analyst — Python EDA in One Shot

Stop spending half your analysis time on boilerplate. This prompt generates production-quality EDA code that goes from raw CSV to actionable insights. Describe your: - Dataset structure and column types - Business question you're trying to answer - Any known data quality issues Get back Python code covering: - Data loading and initial inspection - Missing value analysis and imputation strategy - Distribution analysis (histograms, box plots, violin plots) - Correlation analysis (heatmap + interpretation) - Statistical significance tests (t-test, chi-square, ANOVA — whichever applies) - Outlier detection - Key insights summary with business interpretation - Matplotlib/Seaborn visualizations with proper labels All code is modular, commented, and runs in Jupyter Notebook.