Validate Data
技能 活跃QA an analysis before sharing -- methodology, accuracy, and bias checks. Use when reviewing an analysis before a stakeholder presentation, spot-checking calculations and aggregation logic, verifying a SQL query's results look right, or assessing whether conclusions are actually supported by the data.
To ensure the quality, accuracy, and reliability of data analysis before it is shared with stakeholders, reducing the risk of misinterpretation or flawed decision-making.
功能
- Methodology and assumption review
- Pre-delivery QA checklist
- Common data analysis pitfall identification
- Calculation and aggregation verification
- Visualization assessment
- Narrative and conclusion evaluation
- Actionable improvement suggestions
- Confidence assessment (Ready to share, Share with caveats, Needs revision)
使用场景
- Reviewing an analysis before a stakeholder presentation
- Spot-checking calculations and aggregation logic
- Verifying SQL query results
- Assessing whether conclusions are supported by data
- Identifying potential biases in analysis
非目标
- Performing the analysis itself
- Replacing primary data collection
- Validating raw data sources without context
- Ensuring compliance with specific regulatory standards (unless explicitly part of analysis scope)
Trust
- warning:Issues Attention29 issues opened and 4 closed in the last 90 days, indicating a low closure rate and potential for slow response times.
安装
请先添加 Marketplace
/plugin marketplace add anthropics/knowledge-work-plugins/plugin install data@knowledge-work-plugins质量评分
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