Why factors represent categorical data in R Programming - See It in Action

Why factors represent categorical data

📖 Scenario: Imagine you are organizing a small survey about favorite fruits. You want to store the answers in a way that clearly shows the choices are categories, not numbers.

🎯 Goal: You will create a factor in R to represent categorical data and see how R treats it differently from normal text data.

📋 What You'll Learn

Create a character vector with fruit names

Convert the character vector to a factor

Check the structure of the factor

Print the factor to see its levels

💡 Why This Matters

🌍 Real World

Factors are used in surveys, experiments, and any data where values belong to fixed groups like colors, brands, or types.

💼 Career

Understanding factors is important for data analysis and statistics jobs where categorical data is common.

1

Create a character vector of fruits

Create a character vector called fruits with these exact values: "apple", "banana", "apple", "orange", "banana"

R Programming

# Create a character vector called fruits with the given fruit names
# Your code here

Need a hint?

Use the c() function to combine the fruit names into a vector.

2

Convert the character vector to a factor

Create a factor called fruit_factor by converting the fruits vector using the factor() function

R Programming

fruits <- c("apple", "banana", "apple", "orange", "banana")
# Convert fruits to a factor called fruit_factor
# Your code here

Need a hint?

Use factor(fruits) to create the factor.

3

Check the structure of the factor

Use the str() function on fruit_factor to see its internal structure

R Programming

fruits <- c("apple", "banana", "apple", "orange", "banana")
fruit_factor <- factor(fruits)
# Use str() on fruit_factor
# Your code here

Need a hint?

The str() function shows the internal structure including levels.

4

Print the factor and its levels

Print fruit_factor and then print its levels using levels(fruit_factor)

R Programming

fruits <- c("apple", "banana", "apple", "orange", "banana")
fruit_factor <- factor(fruits)
str(fruit_factor)
# Print fruit_factor and its levels
# Your code here

Need a hint?

Use print() to display the factor and its levels.