Grading Exam Scores

Criteria: A (90-100), B (80-89), C (70-79), D (60-69), F (0-59)

R

# Define the grading function for exam scores
grade_exam <- function(score) {
    if (score >= 90) {
        return("A")
    } else if (score >= 80) {
        return("B")
    } else if (score >= 70) {
        return("C")
    } else if (score >= 60) {
        return("D")
    } else {
        return("F")
    }
}
 
# Load the dataset
student_data <- data.frame(
  StudentName = c("Alice", "Bob", "Charlie", "David", "Eve"),
  ExamScore = c(85, 72, 93, 60, 78)
)
 
# Apply the grade_exam function to classify students based on exam scores
student_data$Grade <- sapply(student_data$ExamScore, grade_exam)
 
# Print the updated dataset with grades
print(student_data)

Output:

  StudentName ExamScore Grade
1       Alice        85     B
2         Bob        72     C
3     Charlie        93     A
4       David        60     D
5         Eve        78     C

Grade Classification Based on Multiple Conditions in R

Grade classification based on multiple conditions is a common task in data analysis, often performed using programming languages like R. This process involves assigning grades or labels to data points based on predefined criteria or conditions. In this context, we’ll explore how to classify data into different grades using R, considering various conditions.

Table of Content

Concepts Related to the Topic:
Steps Needed:
Grading Exam Scores
Grading Customer Satisfaction
Grade Calculation for Student
Conclusion

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#R Programs

Steps Needed:

Grading Customer Satisfaction

Grading Exam Scores

R

Grade Classification Based on Multiple Conditions in R

Table of Content

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