decile
执行十分位分层分析并识别高低价值群体（segmentation 分层分析）
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- Zafer-Liu/Data-Analysis-Agent
- Last source activity
- July 17, 2026 at 13:24
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- decile
- description
- 执行十分位分层分析并识别高低价值群体（segmentation 分层分析）
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- 📉
- allowedTools
- ["get_schema","query_data","run_analysis","generate_chart"]
# 十分位分析
确认排序指标、分析实体和方向，将有效样本等频划分为十组，报告每组样本量、指标范围、核心结果及累计贡献。标记空值和并列值处理方式，并给出可执行的分层策略。
## Tool routing
1. Use `get_schema` to identify the entity key, ranking metric, target metric, and source table.
2. Use `query_data` to verify field names, null handling needs, and sample distribution.
3. Use `run_analysis` with `analysis_name="Data_Decile_Analysis"` for the decile computation.
4. Use `generate_chart` on returned decile result tables after `run_analysis` succeeds.
## Implementation reference
- Tool entry: `agent/tools/business/data.py::_tool_run_analysis`
- Analysis registry: `Function/Analyze/registry.py`
- Analysis implementation: `Function/Analyze/Data_Decile_Analysis/analyze.py`
- Chart implementation: `Function/Charts_generation/chart_generate.py`
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