The process of organizing data into a table format to facilitate analysis is known as _______.

The process of organizing data into a table format to facilitate analysis is referred to as crosstabulation. This method allows analysts to summarize and visualize relationships between two or more variables in a structured way. By creating a grid or matrix where data is presented, crosstabulation helps in identifying patterns and trends within the data, making it easier to analyze complex datasets.

Crosstabulation is particularly useful when dealing with categorical data, as it provides a clear view of the relationship between different categories. For example, it can be used to show the frequency of occurrences across different categories, helping analysts to draw insights and make informed decisions based on the comparisons made.

In contrast, data aggregation refers to the process of summing or averaging data points to get an overall figure, which may not focus on specific relationships between variables in the same way. Data normalization involves adjusting the values in a dataset to a common scale, which is important for certain types of analysis but does not specifically pertain to the arrangement of data into tabular format. Data partitioning, on the other hand, involves dividing datasets into separate subsets, often used in modeling and machine learning contexts, but does not directly relate to the organization of data for analysis in a table format.