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

Radcliffe, Nicholas J.

Hardcover

ISBN 10: 1032897155 ISBN 13: 9781032897158

Verlag: Chapman and Hall/CRC, 2026

Inhaltsangabe

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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Details zur Ausgabe

• Verlag: Chapman and Hall/CRC
• Erscheinungsdatum: 2026
• Sprache: Englisch
• ISBN 10: 1032897155
• ISBN 13: 9781032897158
• Einband: Gebundene Ausgabe
• Anzahl der Seiten: 444
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: gpsr@libri.de; gpsr@libri.de; ; Friedensallee 273; Hamburg; 22763; Deutschland