Useful vector functions (length, sum, mean) in R Programming - Mini Project: Build & Apply

Useful vector functions (length, sum, mean)

📖 Scenario: You are working with a list of daily sales numbers for a small shop. You want to learn how to use basic R functions to find out how many days you have data for, the total sales, and the average sales per day.

🎯 Goal: Build a simple R script that uses the length(), sum(), and mean() functions on a vector of sales numbers to get useful information.

📋 What You'll Learn

Create a numeric vector called sales with exact values: 150, 200, 175, 300, 225

Create a variable called total_days that stores the length of the sales vector using length()

Create a variable called total_sales that stores the sum of the sales vector using sum()

Create a variable called average_sales that stores the mean of the sales vector using mean()

Print the values of total_days, total_sales, and average_sales each on its own line

💡 Why This Matters

🌍 Real World

Small business owners often track daily sales to understand their performance. Using R functions like length, sum, and mean helps quickly summarize sales data.

💼 Career

Data analysts and business intelligence professionals use these basic vector functions to prepare and analyze data before creating reports or visualizations.

1

Create the sales vector

Create a numeric vector called sales with these exact values: 150, 200, 175, 300, 225

R Programming

# Create the sales vector with the exact values
# Your code here

Need a hint?

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

2

Calculate total days

Create a variable called total_days that stores the length of the sales vector using the length() function

R Programming

sales <- c(150, 200, 175, 300, 225)
# Calculate the total number of days using length()
# Your code here

Need a hint?

The length() function tells you how many elements are in a vector.

3

Calculate total and average sales

Create a variable called total_sales that stores the sum of the sales vector using sum(), and a variable called average_sales that stores the mean of the sales vector using mean()

R Programming

sales <- c(150, 200, 175, 300, 225)
total_days <- length(sales)
# Calculate total_sales using sum()
# Calculate average_sales using mean()
# Your code here

Need a hint?

Use sum() to add all numbers and mean() to find the average.

4

Print the results

Print the values of total_days, total_sales, and average_sales each on its own line using three separate print() statements

R Programming

sales <- c(150, 200, 175, 300, 225)
total_days <- length(sales)
total_sales <- sum(sales)
average_sales <- mean(sales)
# Print total_days
# Print total_sales
# Print average_sales
# Your code here

Need a hint?

Use print() to show each value on its own line.