Exploratory Data Analysis: A Reproducible Notebook Template

Exploratory data analysis (EDA) is the most common entry point in applied research, yet it is also where reproducibility most often breaks down: logic accumulates in notebook cells that are never tested and quietly drift from the prose describing them. This paper presents the computational-notebook exemplar of the Research Project Template (https://github.com/docxology/template): an interactive walkthrough notebook (projects/templates/template eda notebook/notebooks/eda walkthrough.ipynb) that imports a small, fully-tested EDA library rather than carrying logic in its cells. We ship a deterministic dataset (data/measurements.csv) with a designed correlation structure and a handful of missing values, then load, clean, summarize, correlate, and visualize it entirely through tested functions in src/eda/. The library is side-effect-free — no plotting and no file I/O — and standalone (numpy a