Unlike many other programming languages, R doesn't need a specific function to display output. So, let's begin our R journey with some simple arithmetic to get started.

In R, you can perform basic arithmetic using the following operators:
* `+` for addition;
* `-` for subtraction;
* `*` for multiplication;
* `/` for division.

For example, let's compute a few mathematical expressions:

As you can see, there's nothing complicated here.

R is one of the most popular programming languages among data analysts and data scientists. R has a wide community that will always help you with any problem. Also, R has tons of different packages designed to solve various problems. The language can be easily applied to statistics and data analytics problems. In the first part, you will be introduced to the very basics of R and will deal with single 1-D values of different types.

In the initial section, you’ll dive into the foundational elements of R, such as generating output and performing elementary operations. This section will conclude with an exploration of the theory behind variables.

You’ll become familiar with the vector class in R, which also handles individual values. Here, you’ll delve into the primary data types for singular values and learn how to manage multiple values of the same type simultaneously.

Factors, also known as categorical variables, are prevalent in the real world. Examples include blood types, currencies, nationalities, and brands. Unlike numerical variables, factors have a limited set of possible values.

Basic Arithmetic

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