Data Science and Machine Learning with R - Data Types and Structures in R Section Overview

The video tutorial covers data types and structures in R, including characters, numerics, integers, and logicals. It explains atomic vectors, missing data representation, and coercion. The tutorial also introduces matrices, lists, data frames, and tibbles, highlighting their importance in data science and machine learning. Key functions and features of these data structures are discussed, providing a comprehensive understanding of R's capabilities.

What is the equivalent of a string in R?

• Numeric

• Integer

• Character

• Logical

How do you specify an integer in R?

• By using a lowercase 'i'

• By enclosing in quotes

• By appending a capital 'L'

• By using a decimal point

What is the representation for missing data in R?

• NULL

• VOID

• NA

• MISSING

What is coercion in R?

• Changing a variable's name

• Converting one data type to another

• Deleting a data type

• Duplicating a data type

How are elements in a matrix accessed in R?

• Using parentheses

• Using curly braces

• Using single square brackets

• Using double square brackets

What makes lists unique compared to atomic vectors in R?

• They can only hold numeric data

• They cannot contain other lists

• They can contain multiple data types

• They are always one-dimensional

How can you access the third element in a list in R?

• Using curly braces

• Using parentheses

• Using double square brackets

• Using single square brackets

What is a key feature of data frames in R?

• Each column can have a different length

• They can only contain numeric data

• They cannot be used in data science

• They are used for tabular data

What is a Tibble in R?

• A simple version of a data frame

• A type of atomic vector

• A type of matrix

• A type of list

What is an advantage of using Tibbles over data frames?

• They automatically change variable names

• They coerce data types automatically

• They allow unconventional variable names

• They create row names by default