Good job! Let's move on to the study of the following data type - logical.

Values of this data type can only take two values: `TRUE` or `T` and `FALSE` or `F`. Note that the wording is case-sensitive, i.e., `false` will not be considered a logical type.

Primarily, the logical type is used while checking certain statements. For example, if you compile something like `2 > 1`, you will receive `TRUE` since `2` is greater than `1`. This fact will be widely used a few chapters later.

You can also convert numbers and text into logical types. All the numbers but `0` will be converted into `TRUE` (otherwise `FALSE` for `0`), and strings `'F'`, `'false'`, `'False'`, and `'FALSE'` into logical `FALSE`. The same for logical `TRUE`.

Converting logical values into numerical will result in `0` for `FALSE`, and `1` for `TRUE`.

In the first section, you will consider the very basics of R - outputting and performing basic operations. You will finish the section with the variables theory.

In the second section, you will learn the vector class in R, which represents single values too. You will consider the main data types for single values and how to work with multiple values of a kind at once.

Factors (or categorical variables) are widely used in real life. These are blood types, currencies, nationalities, brands, etc. Unlike numerical variables, factors are limited to a finite number of values.