Data types in R are the fundamental building blocks of a data science project. By understanding the different data types, you can create new insights and build better models.
- Data types are the fundamental building blocks of a data science project. They define how your data is stored and structured, and they also dictate how you can use that data for predictive modeling or exploratory analysis. In this article, we’ll explore all the different R data types and discuss how to use them effectively for your project.
Data Type: Vector Data
- Vector Data is one of the most widely used data types in R because it allows users to store multiple values at once without having to store each value separately as an array or list.
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