R Academy · Lesson

Understanding Data Types

Identify and differentiate the various data types available in R and their uses.

Lesson 1 of 310 steps

Understanding Data Types is a free R Academy lesson on CoddyKit. This is lesson 1 of 3. Any 3 lessons of this learning path are free to read in full — after that, CoddyKit PRO unlocks every lesson, plus hands-on practice with a built-in code editor and a 24/7 AI tutor. It is part of the R Academy learning path, and your progress syncs across the web and the CoddyKit app. The R Academy course includes 3 lessons in total.

Introduction to Data Types in R

Data types define the kind of values that can be stored in variables. R has several built-in data types.

Understanding Data Types — illustration 1

Common Data Types in R

R has several fundamental data types:

Numeric: Decimal numbers (e.g., 3.14, 42).
Integer: Whole numbers (e.g., 10L, -5L).
Character: Text strings (e.g., 'Hello', 'R').
Logical: Boolean values (TRUE, FALSE).

Checking Data Types

You can check the type of a variable using the class() function.

x <- 42
class(x)

Converting Between Data Types

You can convert data types using functions like:

as.numeric()
as.character()
as.logical()

y <- as.character(42)
class(y)

Handling Logical Values

Logical values (TRUE, FALSE) are often used in comparisons and conditions.

a <- 10
b <- 20
a < b

Working with Character Data

Character data is used for storing text in R.

name <- 'John'
nchar(name)

NA and NULL Values

R uses NA for missing values and NULL for undefined objects.

x <- NA
is.na(x)

Converting Logical to Numeric

Logical values can be converted to numeric (TRUE = 1, FALSE = 0).

as.numeric(TRUE)

Data Types Summary

Summary

In this lesson, you learned about:

Different data types in R.
Checking and converting data types.
Handling missing values.

Understanding Data Types — illustration 10

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Frequently Asked Questions

Is the “Understanding Data Types” lesson free?

Yes — any 3 lessons of the R Academy learning path, including “Understanding Data Types”, are free to read in full here on the web. After that, CoddyKit PRO unlocks every lesson, plus interactive practice with a built-in code editor and a 24/7 AI tutor. The R Academy course includes 3 lessons in total.

What will I learn in “Understanding Data Types”?

Identify and differentiate the various data types available in R and their uses. You practise R Academy with hands-on code you run directly in the browser, and a 24/7 AI tutor answers your questions as you work through the lesson.

Do I need any experience to start R Academy?

No prior experience is required. R Academy on CoddyKit is structured for beginners through advanced learners, so you can start here or from the beginning and move at your own pace. This is lesson 1 of 3.

How long does the “Understanding Data Types” lesson take?

Most CoddyKit lessons take about 5–10 minutes. Each one is bite-sized and interactive, so you make steady progress and pick up exactly where you left off across the web and the app.

Can I write and run code in this R Academy lesson?

Yes. Every R Academy lesson includes a built-in code editor, so you write and run real code right in your browser and get instant AI feedback — no local setup required.

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