**Integer division** is a common mathematical operation that we often use in daily life, sometimes without even realizing it.

Take, for instance, the scenario where you have `16` candies and want to divide them equally among `3` friends. Each friend would get `5` candies, with **one** candy left over, since `16 = 5 * 3 + 1`. We say that the result of the **integer division** of `16` by `3` is `5`, and the **remainder** of this division is `1`.

In R, these operations are performed using:
- `%/%` for integer division;
- `%%` for the remainder of a division.

Here is how we can calculate the given example in R:

# Number of candies for each friend
16 %/% 3
# Number of candies remaining
16 %% 3

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.

R Introduction: Part I

Integer Division and Remainders

Solution

Integer Division and Remainders

Solution