R Programming: Add new row(s) to an existing data frame

R Programming: Data frame Exercise-9 with Solution

Write a R program to add new row(s) to an existing data frame.

Sample Solution :

R Programming Code :

# Create a data frame 'exam_data' with columns: name, score, attempts, and qualify
exam_data = data.frame(
  name = c('Anastasia', 'Dima', 'Katherine', 'James', 'Emily', 'Michael', 'Matthew', 'Laura', 'Kevin', 'Jonas'),  # Vector of names
  score = c(12.5, 9, 16.5, 12, 9, 20, 14.5, 13.5, 8, 19),  # Vector of scores
  attempts = c(1, 3, 2, 3, 2, 3, 1, 1, 2, 1),  # Vector of attempts
  qualify = c('yes', 'no', 'yes', 'no', 'no', 'yes', 'yes', 'no', 'no', 'yes')  # Vector of qualification status
)

# Print the message "Original dataframe:"
print("Original dataframe:")

# Print the original 'exam_data' data frame
print(exam_data)

# Create a new data frame 'new_exam_data' with additional rows
new_exam_data = data.frame(
  name = c('Robert', 'Sophia'),  # Vector of new names
  score = c(10.5, 9),  # Vector of new scores
  attempts = c(1, 3),  # Vector of new attempts
  qualify = c('yes', 'no')  # Vector of new qualification status
)

# Add the new rows from 'new_exam_data' to 'exam_data' using rbind()
exam_data = rbind(exam_data, new_exam_data)

# Print the message "After adding new row(s) to an existing data frame:"
print("After adding new row(s) to an existing data frame:")

# Print the updated 'exam_data' data frame with new rows
print(exam_data)

Output:

[1] "Original dataframe:"
        name score attempts qualify
1  Anastasia  12.5        1     yes
2       Dima   9.0        3      no
3  Katherine  16.5        2     yes
4      James  12.0        3      no
5      Emily   9.0        2      no
6    Michael  20.0        3     yes
7    Matthew  14.5        1     yes
8      Laura  13.5        1      no
9      Kevin   8.0        2      no
10     Jonas  19.0        1     yes
[1] "After adding new row(s) to an existing data frame:"
        name score attempts qualify
1  Anastasia  12.5        1     yes
2       Dima   9.0        3      no
3  Katherine  16.5        2     yes
4      James  12.0        3      no
5      Emily   9.0        2      no
6    Michael  20.0        3     yes
7    Matthew  14.5        1     yes
8      Laura  13.5        1      no
9      Kevin   8.0        2      no
10     Jonas  19.0        1     yes
11    Robert  10.5        1     yes
12    Sophia   9.0        3      no                         

Explanation:

• Create Initial Data Frame:
  A data frame named exam_data is created with four columns (name, score, attempts, qualify) containing initial student data. Each column is populated with corresponding values.
• Print Original Data Frame Message:
  The message "Original dataframe:" is printed to indicate the start of the data frame output.
• Display Original Data Frame:
  The original exam_data data frame is printed, showing the initial set of rows with student data.
• Create New Data Frame for Additional Rows:
  A new data frame named new_exam_data is created with two new rows containing additional student data (name, score, attempts, qualify).
• Add New Rows to Existing Data Frame:
  The rbind() function is used to append the rows from new_exam_data to the original exam_data data frame.
• Print Message After Adding Rows:
  The message "After adding new row(s) to an existing data frame:" is printed to indicate the updated data frame output.
• Display Updated Data Frame:
  The updated exam_data data frame, which now includes the new rows, is printed to show the final set of student data.

R Programming Code Editor:

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