How can I change the data type in R programming?

218    Asked by CharlesParr in Data Science , Asked on Jan 9, 2024

There is a scenario where I am working on a data analyst project using R programming. In it, I need to have a column in my dataset that is currently stored as a character such as age stored as strings. How can I change these data types of the “age” column from character to numeric? 

In the context of data analytics, if you want to change data type in R programming or say column from character to numeric, then you should follow several points:-

Let us consider a scenario where you have a data frame whose name is “my_data” with a column whose name is “age” and it is stored as character data and you want to convert it to the numerical data:-

# Check the current data type of the ‘age’ column
Class(my_data$age) # This should display ‘character’
# Convert the ‘age’ column from character to numeric
My_data$age <- as.numeric(my_data$age)
# Check for potential issues or inconsistencies in the conversion
# Use functions like is.na() or any() to check for NA/missing values or non-numeric entries
If (any(is.na(my_data$age))) {

  # Handle missing or non-numeric entries if present

  # For instance, converting non-convertible strings to NA

  My_data$age <- as.numeric(ifelse(is.na(as.numeric(my_data$age)), NA, my_data$age))
}
# Check the data type after conversion
Class(my_data$age) # This should display ‘numeric’
# Validate the converted column and assess its statistical properties
Summary(my_data$age) # Get a summary of the numeric column (mean, min, max, etc.)

Keep in remember that do not forget to create a backup of your data before performing operations like changing the data into a number from a character so that you can retrieve the data if you need further.



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