R Programming

A lightweight execution-visualization book.

Values and Vectors

Flow and Data

Types and Missing Values

Subsetting and Cleaning

Loops and Apply

Lists, Matrices, and Tables

Strings and Dates

Data Analysis

Functions and Errors

Files and Reproducibility

Statistical Summaries

Tidy Data Patterns

Formula Interfaces

Plotting Concepts

Simulation Patterns

Package Workflows

Dates and Time Series

Text Mining Basics

Model Evaluation

Reporting Workflows

Project Organization

Interactive Tables

Data Import Checks

Regression Workflows

Time Series Summaries

Diagnostics and Quality Checks

Classification Workflows

Visualization Workflows

Workflow Automation

Shiny Concepts Without Runtime

Advanced Data Structures

Performance Awareness

Debugging and Inspection

Functional Programming Patterns

R Style and Readability

Capstone Mini Projects

Optional Ecosystem Survey

Replay Composition

Operational Reliability Reports

Operational Remediation Reports