The two main areas that differentiate tibble from the traditional data-frames are – printing and subsetting:
Tibbles consists of a refined print method that displays the first 10 rows as well as the columns that can be fit on the screen. This facilitates easy working with the large data. In addition to the name, each column reports the type of tibble.
The second area where Tibbles differ from data-frames is subsetting. Tibbles have a strict notion about subsetting. If we access a variable that does not exist, we will get an error.
