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Introduction to lists
2. What are lists?
Accessing list elements
Unnamed lists
Working with lists


Lists are objects that can hold many elements of different data types. Unlike vectors, lists don't have to be homogeneous – that is, they can have elements with different data types.

Take a look at this example:

Candidate list visualization

This object is called a list. It contains seven members. Unlike the elements of vectors, the elements of lists do not have to be of the same type. This list contains character objects (name, country, profession, and applied_position), numbers (age), a vector (language), and even a data frame (prior_working_experience).

Unlike data frames (where each column needs to be of the same length), lists don't require that their members be of the same length. For example, the element name has a length of one, the element language has a length of three, and the element prior_working_experience has a length of three rows and three columns. Lists are flexible. As such, they're great for storing unstructured data.


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