{ "item_title" : "Test-Driven Data Analysis", "item_author" : [" Nicholas J. Radcliffe "], "item_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? ", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/1/03/289/715/1032897155_b.jpg", "price_data" : { "retail_price" : "225.00", "online_price" : "225.00", "our_price" : "225.00", "club_price" : "225.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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