Test-Driven Data Analysis (Chapman & Hall/CRC Data Science Series) - Hardcover

Radcliffe, Nicholas J.

 
9781032897158: Test-Driven Data Analysis (Chapman & Hall/CRC Data Science Series)

Synopsis

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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Other Popular Editions of the Same Title

9781032896700: Test-Driven Data Analysis (Chapman & Hall/CRC Data Science Series)

Featured Edition

ISBN 10:  1032896701 ISBN 13:  9781032896700
Publisher: Chapman and Hall/CRC, 2026
Softcover