R

A language and environment for statistical computing and graphics.

When to Use

• Statistical Analysis & Econometrics: Hypothesis testing, regression modeling, survival analysis, and statistical research.
• Publication-Ready Data Visualization (ggplot2): Creating high-fidelity, publication-quality statistical charts and graphics.
• Data Wrangling with the Tidyverse: Transforming and aggregating complex datasets using dplyr, tidyr, and pipes (|>).
• Interactive Dashboards & Reports (Shiny / Quarto): Publishing dynamic web dashboards and reproducible scientific documents.

Quick Start

print("Hello, World!")

# Vector
x <- c(1, 2, 3, 4, 5)