Why data types matter in R in R Programming - See It in Action

Why data types matter in R

📖 Scenario: Imagine you are organizing a small library. You have books with titles, the number of pages, and whether they are currently borrowed or not. To keep track, you use R to store this information.

🎯 Goal: You will create a data structure to hold book information with correct data types, add a filter condition, extract specific data using the right data types, and finally display the filtered result.

📋 What You'll Learn

Create a data frame called library with columns title (character), pages (numeric), and borrowed (logical) with exact values

Create a variable called min_pages set to 200

Use a subset operation to create long_books containing only books with pages greater than min_pages

Print the long_books data frame

💡 Why This Matters

🌍 Real World

Data types help you organize and analyze data correctly, like knowing which books are long or currently borrowed in a library system.

💼 Career

Understanding data types is essential for data analysis, reporting, and making decisions based on data in many jobs like data science, research, and software development.

1

Create the library data frame

Create a data frame called library with these exact columns and values: title with "Data Science", "R Programming", "Statistics", pages with 250, 180, 300, and borrowed with TRUE, FALSE, TRUE.

R Programming

# Create the data frame called library with the specified columns and values
# Your code here

Need a hint?

Use data.frame() with c() to create vectors for each column.

2

Set the minimum pages threshold

Create a variable called min_pages and set it to 200.

R Programming

library <- data.frame(
  title = c("Data Science", "R Programming", "Statistics"),
  pages = c(250, 180, 300),
  borrowed = c(TRUE, FALSE, TRUE)
)
# Create min_pages variable and set it to 200
# Your code here

Need a hint?

Just assign the number 200 to min_pages.

3

Filter books with more than min_pages pages

Create a new data frame called long_books that contains only rows from library where the pages value is greater than min_pages.

R Programming

library  min_pages
# Your code here

Need a hint?

Use subset() with the condition pages > min_pages.

4

Display the filtered books

Print the long_books data frame to show the books with more than 200 pages.

R Programming

library  min_pages)
# Print long_books
# Your code here

Need a hint?

Use print(long_books) to display the filtered data frame.