pedrohcgs/claude-code-my-workflow✦ 精选0°

data-analysis

仓库创建 2026年2月7日最近提交 1 个月前SkillHot 收录 20 天前

⬈ GitHub 仓库 ⬈ SKILL.md 原文件 ⬇ Raw 原始文件

▸ 精选理由

把探索到发表图表一键串联，节省大量重复性统计工作。

▸ 风险提示

会读取/处理数据文件，若含敏感信息需遵守数据治理与脱敏。

这个 Skill 做什么

端到端 R 数据分析流水线，生成清洗、回归与发表级图表。

用R跑一套端到端数据分析：从载入与探索、清洗、回归建模，到发表级表格和图形输出都能覆盖。当你说“分析这个数据”或发来.csv/.rds/.dta并要求回归或总结统计时就会用上。产出有序的scripts/R/脚本和 scripts/R/_outputs/ 结果文件，方便复现和直接交付发表材料。

▸ 展开 SKILL.md 英文原文

End-to-end R data analysis pipeline — exploration → cleaning → regression → publication-ready tables and figures. Use when user says "analyze this dataset", "run a regression on X", "explore this CSV", "full analysis workflow", "get me summary stats and a regression", or points at a `.csv`/`.rds`/`.dta` and asks for empirical results. Produces numbered R scripts in `scripts/R/` and outputs to `scripts/R/_outputs/`.

数据与抓取R 分析可复现流程发表图表通用

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# Data Analysis Workflow

Run an end-to-end data analysis in R: load, explore, analyze, and produce publication-ready output.

**Input:** `$ARGUMENTS` — a dataset path (e.g., `data/county_panel.csv`) or a description of the analysis goal (e.g., "regress wages on education with state fixed effects using CPS data").

---

## Constraints

- **Follow R code conventions** in `.claude/rules/r-code-conventions.md`
- **Save all scripts** to `scripts/R/` with descriptive names
- **Save all outputs** (figures, tables, RDS) to `output/`
- **Use `saveRDS()`** for every computed object — Quarto slides may need them
- **Use project theme** for all figures (check for custom theme in `.claude/rules/`)
- **R

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