Data Visualization with Python — Datasets
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Book 7 of the Data Science Foundations Series

This folder contains the datasets used in this book's final capstone
chapter, exported as plain CSV files.

- capstone_daily_sales.csv — Two full years of daily e-commerce sales
  (730 rows), including a deliberate, genuine anomaly (a server outage
  around March 30, 2024) that the capstone chapter's exploratory and
  annotation stages are built specifically to discover and explain.

- capstone_orders.csv — 5,000 individual customer orders from the most
  recent 12 months (order_date, region, category, order_value), used for
  the capstone's regional and categorical analysis (Stage 3).

Both were generated with a fixed random seed (42), so re-running the
exact code shown in Chapter 16 reproduces this identical data.

This book's earlier chapters (matplotlib, seaborn, and plotly chapters)
each use smaller, inline synthetic examples defined directly in the code
shown — these are not substantial standalone datasets and are not
included here separately; the code to reproduce them is shown directly
in the relevant chapter.

More info and the latest version of this collection: www.waskeypress.com
