skills.rest
xashgg
xashggCOMMUNITY
Explore all skills by this author →
GitHub

data-analysis

Automates end-to-end R data analysis workflows from loading to publication-ready outputs.

1|1|Updated Apr 30, 2026
Search Tags:#data analysis#regression#statistical analysis#R#publication preparation
One-click install
npx skills add https://github.com/xashgg/claude-code-my-workflow-codex --skill data-analysis-xashgg
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: data-analysis
Source: https://github.com/xashgg/claude-code-my-workflow-codex/tree/main/.codex/skills/data-analysis
Command: npx skills add https://github.com/xashgg/claude-code-my-workflow-codex --skill data-analysis-xashgg

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires R, tidyverse, fixest, modelsummary, ggplot2, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates and streamlines the process of conducting data analysis using R, from data loading to generating publication-ready outputs.

Core Features & Use Cases

  • End-to-End Analysis: Execute a full data analysis workflow including data exploration, cleaning, regression analysis, and output generation.
  • Customizable: Adapt to various datasets and analysis goals by providing a dataset path or a description of the analysis.
  • Automation: Automates repetitive tasks such as loading data, generating plots, and producing tables.

Quick Start

Analyze the dataset located at 'data/county_panel.csv'.

Frequently Asked Questions about data-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate end-to-end data analysis workflows in R?▼

You can automate R data analysis workflows by providing a dataset path and analysis description to handle data loading, exploratory analysis, regression, and publication-ready output generation automatically.

Can I generate publication-ready tables and plots directly from a dataset?▼

Yes, generating publication-ready outputs directly from datasets is supported. The workflow handles regression analysis and uses packages to automatically produce formatted tables and visual plots.

Do I need specific R packages installed for statistical analysis and plotting?▼

Yes, you need R installed along with specific packages like tidyverse for data manipulation, fixest for regression, modelsummary for tables, and ggplot2 for plotting.

What is the best way to run regression analysis and exploratory data analysis together?▼

The best way to run combined regression and exploratory analysis is using an automated end-to-end R pipeline that seamlessly transitions from data cleaning to statistical modeling and output.

Does this data analysis pipeline work with custom CSV datasets?▼

Yes, the data analysis pipeline works with custom CSV datasets. You can adapt the workflow to various datasets by providing a specific file path like 'data/county_panel.csv'.

Related Skills

Explore More Data & Analytics Skills→
fredmilhomefredmilhome

data-analysis

Automate R-based data analysis workflows and generate publication-ready output.

Community
Advanced
endearqbendearqb
6

docx

Create, edit, and format Word documents with headers, footers, and tables of contents.

Community
Intermediate
blankuzrblankuzr
6

r-eda

Execute end-to-end exploratory data analysis workflows in R on raw datasets.

Community
Advanced
bugrabilgebugrabilge
10

data-scientist

Analyze data and build predictive models using Python and R.

Community
Advanced