What is one of the primary benefits of making data tidy?

Making data tidy primarily simplifies analysis by organizing data into a structured format that is easier to work with. In tidy data, each variable is stored in its own column, each observation is stored in its own row, and each type of observational unit forms a table. This structured approach allows for more straightforward data manipulation, filtering, and analysis, enabling analysts and data scientists to apply various statistical techniques and visualization methods with greater ease and efficiency.

When data is tidy, it reduces the complexity involved in understanding relationships between different variables and makes it easier to perform operations like grouping, summarizing, and reshaping the data for analysis. Moreover, tidy data formats are compatible with a wide range of data analysis and visualization tools, further streamlining the analytical process and allowing for more rapid insights to be gained from the data.