22 lines
980 B
JSON
22 lines
980 B
JSON
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{
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"name": "车型与问题关联分析",
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"description": "分析不同车型的工单问题类型分布，识别车型特有问题。",
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"tags": [
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"车型",
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"问题类型",
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"关联",
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"分布"
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],
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"preset_queries": [
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{
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"purpose": "统计每个车型的工单数量及主要问题类型。",
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"sql": "SELECT 车型, 问题类型, COUNT(*) AS 工单数量 FROM tickets GROUP BY 车型, 问题类型 ORDER BY 车型, 工单数量 DESC"
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},
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{
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"purpose": "计算每个车型的平均关闭时长，识别处理难度高的车型。",
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"sql": "SELECT 车型, ROUND(AVG(关闭时长_天), 2) AS 平均关闭时长 FROM tickets GROUP BY 车型 ORDER BY 平均关闭时长 DESC LIMIT 10"
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}
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],
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"exploration_hints": "分析特定车型的高频问题类型，结合问题描述和跟踪记录，识别车型设计或软件问题。关注平均关闭时长高的车型，分析是否存在共性问题。",
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"placeholders": {}
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}
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