Unverified50% confidenceOpinionExact time
In actual data science work, data cleaning can take more than 70% of the time.
1
Sources
50%
Confidence
Long-term
Relevance
11/3/2026
First Seen
Sources
Related Entities
Related Claims
Unverified据CrowdFlower 2016年行业调查及后续研究，数据科学家约60%-80%的工作时间消耗在数据清洗与预处理阶段78% similarUnverifiedIn real-world work, data scientists often need to spend 60% to 80% of their time on data collection, cleaning, and problem definition.76% similarVerifiedIn real industrial environments, data scientists typically spend 60%-80% of their time on data cleaning and feature engineering, rather than model tuning.75% similarUnverified微调过程中，数据清洗、格式标准化、指令-回答对的质量控制往往占据整个微调流程70%以上的工作量75% similarUnverified数据准备通常占整个机器学习项目70%以上的工作量72% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1129227API
curl https://kongchang.com/api/v1/knowledge/claims/1129227MCP
get_claim(id=1129227)