Summarising Findings in a Report

Raw Jupyter notebooks with hundreds of plots and code cells are difficult to share with stakeholders who need to act on findings. A structured EDA summary report distils the most important insights from all your univariate and bivariate analysis into a clear narrative. Good reports separate findings (what the data shows) from implications (what to do about it) and include supporting visualisations only for key claims.

A professional EDA report typically contains six sections: 1) Dataset Overview (shape, source, time period), 2) Data Quality Issues (missing values, outliers, duplicates and their treatment), 3) Key Variable Distributions (most important numeric and categorical columns), 4) Correlations and Associations (highest-magnitude relationships found), 5) Subgroup Insights (group differences that matter for the business question), and 6) Recommended Next Steps (cleaning actions, modelling suggestions).