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CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Project Overview

This repository contains materials for an introductory course on R for analytics students (IND215). It includes a Quarto-based website with course materials and focuses on R fundamentals and the tidyverse ecosystem.

Project Architecture

Website Structure

  • /website/ - Main Quarto website directory
  • website/_quarto.yml - Primary Quarto configuration with site structure, theming, and R kernel setup
  • website/index.qmd - Homepage featuring comprehensive R learning journey and humorous timeline
  • website/course/ - Course administrative content (syllabus, schedule, team, support)
  • website/modules/ - Six-module course structure with hierarchical content organization

Content Organization

The course follows a progressive six-module structure:

  1. Module 1: Getting Started (R/RStudio setup, interface, projects)
  2. Module 2: R Fundamentals (objects, data types, vectors, data frames, functions)
  3. Module 3: Tidyverse Introduction (readr, dplyr basics, tidyr principles)
  4. Module 4: Data Types in Tidyverse (strings, factors, dates, categorical data)
  5. Module 5: Data Wrangling with dplyr (filtering, grouping, joins, advanced manipulation)
  6. Module 6: Organizing Tabular Data with tidyr (pivoting, reshaping, nested data)

Technical Configuration

  • R Kernel: Uses "ir" kernel for R code execution in Jupyter/Quarto
  • Theming: Cosmo-based responsive design with custom light/dark themes
  • Typography: Atkinson Hyperlegible font for accessibility
  • Code Handling: Auto-freeze execution, syntax highlighting, copy functionality

Key Commands

Development Workflow

  • quarto preview website - Start local development server with live reload
  • quarto render website - Build complete static site to _site/ directory
  • quarto publish - Deploy to hosting platform (if configured)

Content Management

  • quarto create article filename.qmd - Create new content file with template
  • R code execution happens automatically during render via R kernel

Website Features

Navigation & UI

  • Docked sidebar with search functionality and GitHub integration
  • Responsive navigation with hierarchical module structure
  • Edit page links and issue reporting directly to GitHub repository
  • Custom theme switcher for light/dark modes

R Integration

  • Live R code execution in .qmd files via Jupyter R kernel
  • Code copying, syntax highlighting, and overflow handling
  • Freeze capability to cache expensive computations
  • Support for R Markdown-style code chunks and outputs

Course Content Philosophy

  • Hands-on learning with real datasets and practical exercises
  • Humorous approach to R learning (see comprehensive timeline in index.qmd)
  • Industry-relevant examples emphasizing tidyverse best practices
  • Statistical computing foundation with modern data science workflows

Development Notes

  • Website deploys to GitHub Pages at https://simonesantoni.github.io/intro-to-R-IND215
  • Content emphasizes tidyverse ecosystem over base R where appropriate
  • Custom SCSS themes (theme.scss, theme-dark.scss) extend Cosmo bootstrap theme
  • R kernel configuration assumes ind215 named kernel for consistent environment