1 What is R and R studio?

In this book, we will use R and RStudio to organize, analyze, and visualize data.

R is a programming language and software environment specifically designed for statistical computing and data analysis. It is widely used by data analysts, statisticians, and researchers for tasks like:

• Data manipulation and visualization

• Statistical modeling

• Programming

R is open-source, which means it’s free to use and constantly improved by a large community of contributors.

RStudio is an Integrated Development Environment (IDE) for R. It provides a user-friendly interface to write, debug, and run R code. While R itself is just a console-based language, RStudio enhances productivity with features like:

• Script editor: Write and save R code with syntax highlighting.

• Console: Run R commands interactively.

• Environment pane: View variables, datasets, and objects in your workspace.

• Plots pane: Display and export visualizations directly.

• Package manager: Install and manage R packages effortlessly.

RStudio helps bridge the gap between R’s powerful capabilities and ease of use, making it a preferred tool for working with R.

Feature	R	RStudio
Type	Programming language	Development environment for R
Interface	Console-based	User-friendly IDE with GUI
Usage	Runs R commands	Makes R coding easier and organized

In summary, R is the engine for analysis, and RStudio is the dashboard that makes driving the engine simpler!