What are some examples of nested collections in data science?

What are some examples of nested collections in data science?

Nested collections in data science refer to data structures that contain other collections. For example, a list of dictionaries where each dictionary represents a record with multiple attributes.

Can you give me a specific example?

Sure! Imagine a dataset of students where each student is represented as a dictionary containing their name, age, and a list of grades. This list of grades is a nested collection within each student's dictionary.

How do nested collections help in data analysis?

They allow for more complex data representation and enable easier manipulation of related data. For instance, you can easily calculate average grades for each student.

What programming languages support nested collections?

Most programming languages like Python, R, and JavaScript support nested collections. In Python, for example, you can use lists and dictionaries to create nested structures.