{"product_id":"test-driven-data-analysis","title":"Test-driven Data Analysis By Radcliffe  Nicholas","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. 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?”","brand":"MediaPlace","offers":[{"title":"Default Title","offer_id":57704887091582,"sku":"NW9781032897158","price":199.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1379\/1261\/files\/9781032897158.jpg?v=1784542848","url":"https:\/\/mediaplace.com\/en-usa\/products\/test-driven-data-analysis","provider":"MediaPlace","version":"1.0","type":"link"}