Summary  
This chapter introduces the four basic primitive data types—double, integer, character, and logical—and shows how to use the typeof() function for inspecting and printing a variable’s data type.

General domain of usage  
Data analysis

A **data type** defines what kind of values a variable can store and which operations are valid. It determines how data is represented in memory and how R interprets and manipulates it.

Definition

## Inspecting Data Types
Use the `typeof()` function to check a variable's data type.

x = TRUE
typeof(x)

y = 42L
typeof(y)

z = "hello"
typeof(z)

w = 3.14
typeof(w)

Gain a solid understanding of R, one of the most widely used languages for data analysis. Explore fundamental data types and one-dimensional values, then advance to multi-dimensional structures, including matrices, data frames, and lists. Build the skills needed to apply R effectively in statistical analysis and data-driven decision-making.

Learn the essentials of R syntax, such as arithmetic, variables, printing functions, and comments. Strengthen your understanding of computational logic through exercises.

Explore R's data types and understand their role in data handling. Build skills in working with vectors as essential structures for organizing and analyzing information.

Develop the ability to manage categorical data effectively. Discover how to structure, group, and interpret values by converting raw data into clear categories.

Understand how to represent and work with structured two-dimensional data. Build confidence in transforming, labeling, and applying operations to matrices for analytical tasks.

Master the most widely used data structure in R for tabular information. Learn to organize, transform, and extract insights from datasets to support data-driven decisions.

Learn how lists extend beyond vectors by storing elements of different types and lengths. Develop the ability to create, access, and modify lists for organizing complex data structures.

Data Types

Common Data Types

Inspecting Data Types

Example

Solution

Awesome!

Data Types

Common Data Types

Inspecting Data Types

Example

Solution