Programming & Scientific Computing · R Programming & Statistical Analysis

Data visualization with ggplot2 — expert reference

Public introduction · full guide in Eikos

Introduction

What this guide covers

Graphing Grammar: The complete theoretical and practical architecture of modern statistical visualization in R — from Wilkinson's philosophical foundations to the production of publication-level figures.

Overview

Topics covered

  • Introduction
  • gg plot2
  • Philosophical and Theoretical Foundations
  • Wilkinson's Grammar
  • Wickham's Reinterpretation: gg (Layered Grammar)
  • Underlying Perceptual Principles

Related concepts

Main connections

  • Statistical graphics & visual reasoning
  • Principal component analysis (PCA)
  • Confidence interval
  • Survival analysis & Kaplan-Meier
  • Variance & standard deviation
  • Outliers & influence diagnostics

Compatible notation

Mathematical sample in LaTeX

The expression is rendered accessibly, with its LaTeX source preserved below.

𝒢=Render(Coord(Scale(Stat(Dπ))),Θguide)
View LaTeX source\mathcal{G} = \text{Render}\Big(\text{Coord}\big(\text{Scale}\big(\text{Stat}(D_{\pi})\big)\big),\; \Theta_{\text{guide}}\Big)