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- Others: ChinaTextbook, Obsidian笔记系列, YouTube Channel ID, TikTok PM Django - Skills: GOG CLI, Last30Days, baoyu-skills - Vibe Coding: Cursor 2.0, Trae远程开发, Vibe-Kanban+OpenCode, vibe coding经验 - 微信公众号: 养虾日记1-5, AI时代赚钱 - 跨境电商: TikTok数据抓取, 选品策略, Superset Dashboard - AI目录补充: 20个文件 Source pages: 51 Entities: TapXWorld, VibeKanban, OpenCode, Trae, SourceGrounding等 Concepts: 自举Meta生成, 5大设计原则, MD5去重, 混合搜索等
38 lines
1.4 KiB
Markdown
38 lines
1.4 KiB
Markdown
---
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title: "TikTok Superset Dashboard"
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type: source
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tags: []
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date: 2025-12-19
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---
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## Source File
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- [[raw/跨境电商/TikTok Shop - Apache Superset Dashboard设计思路.md]]
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## Summary
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- 核心主题：TikTok Shop电商选品与竞品监控Superset Dashboard设计
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- 问题域：电商数据分析、选品决策支持
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- 方法/机制：通过SQL View预处理JSON字段，构建KPI/爆品分析/类目洞察/店铺监控/评论分析五大模块
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- 结论/价值：实现专业级选品分析系统，支持可导入Superset的Dashboard JSON
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## Key Claims
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- Superset不能直接解析JSON，需通过SQL View预处理提取rating、rating_count等字段
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- 选品评分模型：sold×0.4 + rating×12 + rating_count×0.2 + discount_percent×0.5
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- Dashboard分两个Tab：电商选品分析 + 竞争对手监控
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- 核心可视化：KPI卡片、爆品榜、销量vs价格气泡图、类目热力图、箱线图
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## Key Concepts
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- [[选品评分模型]]：多维度加权评分公式
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- [[SupersetDashboard]]：Apache Superset可视化分析平台
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- [[SQLView]]：数据库视图预处理结构化数据
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## Key Entities
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- [[ApacheSuperset]]：开源数据可视化和BI工具
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- [[TikTokShop]]：电商平台数据来源
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## Connections
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- [[ApacheSuperset]] ← visualizes ← [[TikTokShop数据]]
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- [[选品评分模型]] ← powers ← [[SupersetDashboard]]
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## Contradictions
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- 无冲突
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