nam a22 8c 4500 1980816328 DE-627 20260803145927.0 cr uuu---uuuuu 260803s2026 xx |||||o 00| ||und c 9781003544289 E-Book 978-1-00-354428-9 (DE-627)1980816328 (DE-599)KEP13117858X (DDREI)drd-66447982 (DE-627-1)13117858X DE-627 ger DE-627 rda PBT bicssc TJFM bicssc UNF bicssc UY bicssc 001.42 Radcliffe, Nicholas J. VerfasserIn aut Test-Driven Data Analysis Chapman & Hall/CRC Data Science Series Nicholas J. Radcliffe London Chapman and Hall/CRC 2026 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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? Probability & statistics Automatic control engineering Data mining Computer science MATHEMATICS / Probability & Statistics / General TECHNOLOGY & ENGINEERING / Automation COMPUTERS / Database Management / Data Mining COMPUTERS / Computer Science https://www.dietmardreier.de/annot/426F6F6B446174617C7C393738313033323839363730307C7C434F50.jpg?sq=2 Aggregator Cover 1 PDA-ULUB-DDREI BO 000 xxxxxcx a22 zn 4500 001 5008587455 003 DE-627 004 1980816328 005 20260803145927 008 260803||||||||||||||||ger||||||| 040 DE-289 DE-627 DE-289 092 n 852 DE-289 852 1 00 85640 https://www.uni-ulm.de/einrichtungen/kiz/weiteres/formulare/kaufwunsch-ebook-pda/ Zum Online-Dokument Hier Kaufwunsch erstellen 912 PDAplusULUB 939 2026-08-03 l01