Tibbles versus Data Frames

A tibble is a modern data frame. With the evolution of the R language, some features that used to work well for data frames are not very useful now, so Hadley Wickham – the creator of Tidy Data and tidyverse – created a new data type that better fitted his way of working with datasets and dropped the old features, while adding other fancy ones, to create this new data type named Tibble.

Let's refer to the documentation:

they do less (i.e. they don’t change variable names or types, and don’t do partial matching) and complain more (e.g. when a variable does not exist). This forces you to confront problems earlier, typically leading to cleaner, more expressive code. (https://tinyurl.com/43un2f3z)

The main differences between Tibbles and data frames are as follows:

• They don’t change input variable types, such as strings to factors, by default.
• They can have lists as columns.
• They can have non-standard...