Test-Driven Data Analysis
Test-Driven Data Analysis
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Sign in or Sign up!- Release Date: 18/05/2026
- Barcode: 9781032897158
- Imprint: CRC Press
- Publisher: Taylor & Francis

Test-Driven Data Analysis
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DESCRIPTION
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. 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:
• 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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