Summary  
This chapter introduces fundamental data types (double, integer, character, logical) in R and demonstrates how to inspect a variable’s type using the typeof() function.

General domain of usage  
Data analysis

Understanding **data types** is fundamental in R programming as they dictate how data is stored, interpreted, and manipulated, so let's explore the various data types in R and their characteristics.

Each data type serves specific purposes and ensures that the data is handled appropriately according to its nature.

Here are the most common data types in R:

To determine the **data type** of a given variable, you would use the `typeof()` function, providing the respective **variable name** as its argument. For example:

Take the initiative to practice this function on your own!

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

Løsning

Awesome!

Data Types

Løsning

Awesome!