#EDA.

You are a senior data scientist. I have a dataset described as: [describe columns, row count, time range, source, and the business question]. Create a structured EDA (Exploratory Data Analysis) plan. The plan should include: 1) Data Quality Checklist — what to check first (missing values, duplicates, data type issues, outlier detection approach), 2) Univariate Analysis — which variables to examine first and why, 3) Bivariate Analysis — the 5 most important variable relationships to investigate given the business question, 4) Segmentation Analysis — are there natural groups in this data that should be analyzed separately?, 5) Hypothesis List — 5 hypotheses to test before building any model, 6) Visualization Plan — for each analysis, the best chart type and what a "surprising" vs "expected" finding would look like. Also provide: the Python/R code structure for steps 1-3.