R Program to Add Columns to a Dataframe

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1. Introduction

Often while working with datasets in R, there's a need to add new columns based on the existing data or external information. R provides multiple ways to achieve this. Here, we will demonstrate one of the simplest methods.

2. Program Overview

1. Create an initial dataframe.

2. Add new columns to the dataframe.

3. Code Program

# Load necessary libraries library(dplyr) # Create an initial dataframe df <- data.frame( Name = c('Alice', 'Bob', 'Charlie'), Age = c(25, 30, 28) ) # Print the original dataframe print("Original Dataframe:") print(df) # Add a new column 'Occupation' to the dataframe df$Occupation <- c('Engineer', 'Doctor', 'Lawyer') # Add another new column 'Salary' to the dataframe df$Salary <- c(70000, 80000, 75000) # Print the updated dataframe print("Updated Dataframe with New Columns:") print(df)

Output:

[1] "Original Dataframe:" Name Age 1 Alice 25 2 Bob 30 3 Charlie 28 [1] "Updated Dataframe with New Columns:" Name Age Occupation Salary 1 Alice 25 Engineer 70000 2 Bob 30 Doctor 80000 3 Charlie 28 Lawyer 75000

4. Step By Step Explanation

- We start by creating an initial dataframe df with columns Name and Age.

- The new columns are added directly by specifying the column name and assigning the respective values. For instance, df$Occupation is used to add a new column named 'Occupation'.

- Ensure that when adding a new column, the length of the data you're adding matches the number of rows in the dataframe.

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