Question

What scenarios would prevent you from being able to use a tibble? A. you need to change the data types of inputs

B. you need to store numerical data C you need to create row names D> you need to create column names

Answer 1

A tibble may not be suitable when you need to change the data types of inputs, create row names, or create column names.

Step-by-step explanation:

A tibble, which is a data frame from the tidyverse package in R, is a convenient way to work with data. However, there are certain scenarios where using a tibble would not be suitable:

1. When you need to change the data types of inputs: Tibbles require consistent data types within columns, so if you need to change the data types of your inputs, you may need to convert them to a different format before using a tibble.
2. When you need to create row names: Tibbles do not support row names. If you need to assign specific names or labels to rows, you may need to use a different data structure, such as a data frame.
3. When you need to create column names: While tibbles have column names, they may not be suitable for cases where you need more control over the naming of the columns, such as using special characters or spaces in the names.

Answer 2

The scenarios would prevent you from being able to use a tibble is C. you need to create row names.

A tibble is a data structure in R that is similar to a data frame in Python. Tibbles are designed to be easy to read and write, and they have a number of features that make them useful for data analysis.

Tibbles are designed to be immutable, which means that you cannot change the data types of the inputs once they have been created. For example, you cannot create a tibble with a column of strings and then change the data type of that column to integers. Tibbles can only store data that can be coerced into character vectors.