Why advanced features enable complex work in R Programming - See It in Action

Why advanced features enable complex work

📖 Scenario: Imagine you are a data analyst working with a list of sales numbers. You want to understand which sales are above a certain target and calculate some statistics. Using R's advanced features like vectorized operations and functions can help you do this quickly and clearly.

🎯 Goal: You will create a vector of sales numbers, set a target value, use R's vectorized features to find sales above the target, and then print the count of those sales.

📋 What You'll Learn

Create a numeric vector called sales with these exact values: 120, 85, 90, 150, 200, 75

Create a numeric variable called target and set it to 100

Use R's vectorized comparison to create a logical vector above_target that is TRUE where sales are greater than target

Print the number of sales above the target using sum(above_target)

💡 Why This Matters

🌍 Real World

Data analysts often need to quickly find and summarize data points that meet certain conditions, like sales above a target.

💼 Career

Using vectorized operations and logical indexing in R is a key skill for data scientists and analysts to write efficient and readable code.

1

Create the sales vector

Create a numeric vector called sales with these exact values: 120, 85, 90, 150, 200, 75

R Programming

# Create the sales vector
# Your code here

Need a hint?

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

2

Set the target value

Create a numeric variable called target and set it to 100

R Programming

sales <- c(120, 85, 90, 150, 200, 75)
# Create the target variable
# Your code here

Need a hint?

Assign the number 100 to the variable target using <-.

3

Find sales above the target

Use R's vectorized comparison to create a logical vector called above_target that is TRUE where sales are greater than target

R Programming

sales <- c(120, 85, 90, 150, 200, 75)
target <- 100
# Create above_target vector
# Your code here

Need a hint?

Use the > operator to compare each element of sales to target.

4

Print the count of sales above target

Print the number of sales above the target using print(sum(above_target))

R Programming

sales  target
# Print the count of sales above target
# Your code here

Need a hint?

Use sum() to count TRUE values in above_target, then print the result.