データ分析

Data Analysis Workflow

AI-driven hybrid data analysis workflow supporting R (tidyverse and ggplot2) and Python (pandas and seaborn). Provides templates for 70 percent of common tasks including variable exploration, data cleaning, processing, and plotting. Also generates AI code for custom needs. Uses bash testing with iteration and MCP Context7 for function references. Use when analyzing data files, creating visualizations, cleaning and transforming data, running statistical tests, creating publication quality figures, or working with Quarto qmd documents.