R Program to Add Rows to a Dataframe

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1. Introduction

Adding rows to a dataframe is a common operation when working with datasets in R. This can be particularly useful when aggregating data from different sources or appending new data to an existing dataframe.

2. Program Overview

1. Create an initial dataframe.

2. Add new rows using the rbind() function.

3. Code Program

# Load necessary libraries library(dplyr) # Create an initial dataframe df <- data.frame( Name = c('Alice', 'Bob'), Age = c(25, 30), City = c('New York', 'Los Angeles') ) # Print the original dataframe print("Original Dataframe:") print(df) # Data for the new rows new_rows <- data.frame( Name = c('Charlie', 'David'), Age = c(28, 35), City = c('Chicago', 'San Francisco') ) # Append new rows to the dataframe using rbind df_updated <- rbind(df, new_rows) # Print the updated dataframe print("Updated Dataframe with New Rows:") print(df_updated) 

Output:

[1] "Original Dataframe:" Name Age City 1 Alice 25 New York 2 Bob 30 Los Angeles [1] "Updated Dataframe with New Rows:" Name Age City 1 Alice 25 New York 2 Bob 30 Los Angeles 3 Charlie 28 Chicago 4 David 35 San Francisco 

4. Step By Step Explanation

- We first create an initial dataframe df with columns Name, Age, and City.

- New rows to be added are then created in the new_rows dataframe.

- The rbind() function is used to append the rows from new_rows to df. This function combines the rows of two or more data frames.

- Note that the column names and structures of the dataframes being combined using rbind must match.