Which term is associated with clean and organized data in R?

The term associated with clean and organized data in R is "tidy data." In the context of data analysis, tidy data is a framework that specifies how data should be organized to facilitate analysis. According to this principle, each variable should be in its own column, each observation should be in its own row, and each type of observational unit should form a table. This structure allows analysts to easily manipulate and visualize data, making it easier to apply statistical techniques and perform data analysis tasks consistently and efficiently.

Tidy data stands in contrast to other types of data structures. For example, structured data refers to data that is organized in a predefined model, such as databases, but may not adhere to the specific tidy data principles. Raw data is unprocessed and typically messy, lacking organization, which makes it unsuitable for analysis without initial cleaning. Aggregated data involves summarizing data points, which is a step beyond tidying and can lead to loss of detailed information that tidy data preserves. Thus, tidy data is specifically crafted to provide a clean and user-friendly format that enhances clarity and accessibility for data analysis in R.