Replace NA Values with 3 in R Data Frame

Last update on December 21 2024 10:11:04 (UTC/GMT +8 hours)

Write a R program to replace NA values with 3 in a given data frame.

Sample Solution :

R Programming Code :

# Create a data frame named 'exam_data' with columns: 'name', 'score', 'attempts', 'qualify'
exam_data = data.frame(
  # Define the 'name' column with a list of names
  name = c('Anastasia', 'Dima', 'Katherine', 'James', 'Emily', 'Michael', 'Matthew', 'Laura', 'Kevin', 'Jonas'),
  
  # Define the 'score' column with corresponding scores
  score = c(12.5, 9, 16.5, 12, 9, 20, 14.5, 13.5, 8, 19),
  
  # Define the 'attempts' column with some NA values
  attempts = c(1, NA, 2, NA, 2, NA, 1, NA, 2, 1),
  
  # Define the 'qualify' column with qualification statuses
  qualify = c('yes', 'no', 'yes', 'no', 'no', 'yes', 'yes', 'no', 'no', 'yes')
)

# Print the message indicating the original data frame
print("Original dataframe:")

# Print the original data frame
print(exam_data)

# Replace all NA values in the data frame with 3
exam_data[is.na(exam_data)] = 3

# Print the message indicating the data frame after replacing NA values
print("After removing NA with 3, the said dataframe becomes:")

# Print the modified data frame
print(exam_data)

Output:

[1] "Original dataframe:"
        name score attempts qualify
1  Anastasia  12.5        1     yes
2       Dima   9.0       NA      no
3  Katherine  16.5        2     yes
4      James  12.0       NA      no
5      Emily   9.0        2      no
6    Michael  20.0       NA     yes
7    Matthew  14.5        1     yes
8      Laura  13.5       NA      no
9      Kevin   8.0        2      no
10     Jonas  19.0        1     yes
[1] "After removing NA with 3, the said dataframe becomes:"
        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        3      no
9      Kevin   8.0        2      no
10     Jonas  19.0        1     yes

Explanation:

• Create Data Frame (exam_data):
• exam_data is created as a data frame with four columns: name, score, attempts, and qualify.
• The name column contains names of individuals.
• The score column contains numeric scores.
• The attempts column contains numbers of attempts, with some missing values (NA).
• The qualify column contains qualification status as 'yes' or 'no'.
• Print Original Data Frame:
• The print function displays a message "Original dataframe:".
• The print function then shows the content of the exam_data data frame, showing the initial data including NA values.
• Replace NA Values:
• exam_data[is.na(exam_data)] = 3 replaces all NA values in the data frame with the number 3.
• Print Modified Data Frame:
• The print function displays a message "After removing NA with 3, the said dataframe becomes:".
• The print function then shows the modified exam_data data frame, where all NA values have been replaced with 3.

R Programming Code Editor:

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