Data Frames in R Programming

1. Structure of Data Frames

Data frames are used to store tabular data in R. They can hold different data types in each column.

    # Creating a data frame
    my_data_frame <- data.frame(
      Name = c("Alice", "Bob", "Charlie"),
      Age = c(25, 30, 35),
      Gender = c("F", "M", "M")
    )
    
    # Displaying the structure of the data frame
    str(my_data_frame)
    
    # Printing the data frame
    print(my_data_frame)

2. Accessing Columns

Columns in a data frame can be accessed using the column name or index.

    # Accessing a column by name
    print(my_data_frame$Name)
    
    # Accessing a column by index
    print(my_data_frame[, 1])

3. Filtering Rows

Rows can be filtered based on conditions.

    # Filter rows where Age is greater than 28
    filtered_data <- my_data_frame[my_data_frame$Age > 28, ]
    print(filtered_data)

4. Adding Rows and Columns

Adding Rows

    # Adding a new row
    new_row <- data.frame(Name = "David", Age = 40, Gender = "M")
    my_data_frame <- rbind(my_data_frame, new_row)
    print(my_data_frame)

Adding Columns

    # Adding a new column
    my_data_frame$Score <- c(85, 90, 95, 80)
    print(my_data_frame)

5. Removing Rows and Columns

Removing Rows

    # Removing a row by index
    my_data_frame <- my_data_frame[-2, ]
    print(my_data_frame)

Removing Columns

    # Removing a column
    my_data_frame$Score <- NULL
    print(my_data_frame)

Conclusion

This tutorial explained the structure of data frames in R, how to access columns, filter rows, and add or remove rows and columns. Data frames are essential for managing and analyzing tabular data in R.




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