Why R is essential for statistics in R Programming - See It in Action

Why R is Essential for Statistics

📖 Scenario: Imagine you are a data analyst working with a small dataset of students' test scores. You want to understand the data better by calculating basic statistics like the average score and identifying students who scored above a certain threshold.

🎯 Goal: You will create a simple R script that stores student scores, sets a threshold, filters students who scored above the threshold, and prints the results. This will show how R helps with statistical tasks easily.

📋 What You'll Learn

Create a named vector called scores with exact student names and their scores

Create a variable called threshold with the value 70

Use a logical condition to filter students with scores above threshold into top_students

Print the top_students vector to show the filtered results

💡 Why This Matters

🌍 Real World

Data analysts often need to quickly filter and summarize data to find important insights, like identifying top performers.

💼 Career

Knowing how to use R for basic statistics is essential for roles in data analysis, research, and any job involving data-driven decision making.

1

DATA SETUP: Create the student scores vector

Create a named numeric vector called scores with these exact entries: Alice = 58, Bob = 75, Charlie = 62, Diana = 80, Eva = 90

R Programming

# Create the named vector scores with the given student names and scores
# Your code here

Need a hint?

Use the c() function with named elements like Alice = 58 to create the vector.

2

CONFIGURATION: Set the score threshold

Create a variable called threshold and set it to the numeric value 70

R Programming

scores <- c(Alice = 58, Bob = 75, Charlie = 62, Diana = 80, Eva = 90)
# Create the threshold variable with value 70
# Your code here

Need a hint?

Simply assign the number 70 to the variable threshold.

3

CORE LOGIC: Filter students scoring above the threshold

Create a new vector called top_students that contains only the entries from scores where the score is greater than threshold

R Programming

scores <- c(Alice = 58, Bob = 75, Charlie = 62, Diana = 80, Eva = 90)
threshold <- 70
# Filter scores greater than threshold into top_students
# Your code here

Need a hint?

Use logical indexing with scores > threshold inside square brackets to filter.

4

OUTPUT: Print the filtered top students

Print the top_students vector to display the students who scored above the threshold

R Programming

scores  threshold]
# Print the top_students vector
# Your code here

Need a hint?

Use the print() function to show the top_students vector.