Correlation analysis in R Programming - Mini Project: Build & Apply

Correlation analysis

📖 Scenario: You are a data analyst working with a small dataset of students' study hours and their exam scores. You want to find out if there is a relationship between how much students study and how well they perform on the exam.

🎯 Goal: Build a simple R program that calculates the correlation between study hours and exam scores using the Pearson method.

📋 What You'll Learn

Create a data frame with exact columns and values

Create a variable for the correlation method

Calculate the correlation using the cor() function with the method variable

Print the correlation result

💡 Why This Matters

🌍 Real World

Correlation analysis helps understand relationships between variables, like study time and exam scores, which is useful in education, business, and science.

💼 Career

Data analysts and scientists use correlation to find patterns and insights in data that guide decisions and predictions.

1

Create the data frame

Create a data frame called students with two columns: study_hours and exam_scores. Use these exact values: study_hours = c(2, 3, 5, 6, 8) and exam_scores = c(50, 60, 75, 80, 90).

R Programming

# Create the data frame called students with study_hours and exam_scores
# Your code here

Need a hint?

Use the data.frame() function to create the data frame with the exact column names and values.

2

Set the correlation method

Create a variable called method and set it to the string "pearson" to specify the correlation method.

R Programming

students <- data.frame(
  study_hours = c(2, 3, 5, 6, 8),
  exam_scores = c(50, 60, 75, 80, 90)
)
# Create the method variable and set it to "pearson"
# Your code here

Need a hint?

Assign the string "pearson" to the variable method.

3

Calculate the correlation

Calculate the correlation between study_hours and exam_scores from the students data frame using the cor() function with the method variable. Store the result in a variable called correlation.

R Programming

students <- data.frame(
  study_hours = c(2, 3, 5, 6, 8),
  exam_scores = c(50, 60, 75, 80, 90)
)
method <- "pearson"
# Calculate the correlation and store it in correlation
# Your code here

Need a hint?

Use cor() with the two columns and the method variable.

4

Print the correlation result

Print the value of the correlation variable using the print() function.

R Programming

students <- data.frame(
  study_hours = c(2, 3, 5, 6, 8),
  exam_scores = c(50, 60, 75, 80, 90)
)
method <- "pearson"
correlation <- cor(students$study_hours, students$exam_scores, method = method)
# Print the correlation
# Your code here

Need a hint?

Use print(correlation) to show the correlation value.