After running the code, you may see `[1]` preceding the results. This is R's way of indicating that the line starts with the first element in your output. As you progress through the course, you'll encounter outputs with multiple elements.

As you recall, in R, it's unnecessary to use a specific function to display output values.

Let's say we want to carry out a division operation.

If your goal is to 'round' a number to a desired number of significant characters, you can employ the familiar `print()` function from other programming languages.

Here's how you use the function:
```
print(expression, digits = n)
```
For instance, we can round the division result from our previous example to three significant characters.

As demonstrated, the output of the expression has been rounded to three significant characters.

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.

Print?

Task

R Introduction: Part I

Print?

Task