Pipe operator (%>% and |>) in R Programming - Mini Project: Build & Apply

Using Pipe Operators %>% and |> in R

📖 Scenario: You are working with a small dataset of fruits and their prices. You want to cleanly and clearly calculate the total cost of all fruits using pipe operators to make your code easy to read.

🎯 Goal: Build a simple R script that uses the pipe operators %>% and |> to calculate the total price of fruits from a named vector.

📋 What You'll Learn

Create a named vector called fruit_prices with exact entries: apple = 2, banana = 1, cherry = 3

Create a variable called price_threshold and set it to 1

Use the %>% pipe operator to filter fruit_prices for prices greater than price_threshold and then sum the filtered prices

Use the |> pipe operator to do the same filtering and summing in a separate variable

Print both results with exact variable names total_price_percent and total_price_base

💡 Why This Matters

🌍 Real World

Pipes help write clear and readable data processing steps, like filtering and summarizing prices in a shopping list.

💼 Career

Data analysts and scientists use pipe operators to write clean, easy-to-understand code for data cleaning and analysis.

1

Create the fruit prices vector

Create a named vector called fruit_prices with these exact entries: apple = 2, banana = 1, cherry = 3

R Programming

# Create the named vector fruit_prices with apple=2, banana=1, cherry=3
# Your code here

Need a hint?

Use the c() function with named elements to create fruit_prices.

2

Set the price threshold

Create a variable called price_threshold and set it to 1

R Programming

fruit_prices <- c(apple = 2, banana = 1, cherry = 3)
# Create price_threshold and set it to 1
# Your code here

Need a hint?

Just assign the number 1 to price_threshold.

3

Calculate total price using %>% pipe

Use the %>% pipe operator to filter fruit_prices for prices greater than price_threshold and then sum the filtered prices. Store the result in total_price_percent. Use the exact code total_price_percent <- fruit_prices %>% .[. > price_threshold] %>% sum()

R Programming

fruit_prices % pipe to filter and sum prices > price_threshold
# Your code here

Need a hint?

Use %>% to pass fruit_prices through filtering and then summing.

4

Calculate total price using |> pipe and print results

Use the |> pipe operator to filter fruit_prices for prices greater than price_threshold and then sum the filtered prices. Store the result in total_price_base. Then print both total_price_percent and total_price_base using two separate print() statements.

R Programming

fruit_prices % .[. > price_threshold] %>% sum()
# Use |> pipe to filter and sum prices > price_threshold
# Store in total_price_base
# Print total_price_percent and total_price_base
# Your code here

Need a hint?

Use |> with an anonymous function to filter, then pipe to sum(). Use print() to show results.