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Test-Driven Data Analysis
Paperback
Series: Chapman & Hall/CRC Data Science
ISBN13: 9781032896700
Publisher: CRC Press
Published: May 18 2026
Pages: 424
Weight: 1.37
Height: 0.90 Width: 6.14 Depth: 9.21
Language: English
Test-driven data analysis is the synthesis of ideas from test-driven development of software to data-intensive work including data science, data analysis, and data engineering. It is a methodology for improving the quality of data and of analytical pipelines and processes. It can be thought of as data analysis as if the answers actually matter.
Test-driven data analysis can be thought of as a sibling to reproducible research, with similar concerns, but greater emphasis on automated testing, and less requirement for a human to reproduce results. Extensive checklists are provided that can be used to improve quality before, during, and after analysis.
Key Features:
- Prevents costly errors in analytical processes before they reach production through automated data validation and reference testing of data pipelines.
- Provides actionable checklists for issues beyond the reach of automated testing.
- Equips readers with open-source Python tools and language-agnostic command-line interfaces.
- Addresses testing challenges for modern LLM-based systems including chat-bots and coding assistants.
- Instills in analysts an inner voice that is always asking: How is this misleading data misleading me?
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